Abstract
The Dabanghe River Basin, in the west of Guizhou Plateau, consists of numerous prominent geological structural features, such as the Shuicheng–Wangmo, Yadu–Ziyun, and Yongningzhen Faults, the Huangguoshu Waterfall, and the Guanjiao Knickpoint. The topographic conditions and structural systems are highly complex, making this a suitable area to study neotectonics. However, research on the geomorphology of the region is lacking. Combined with geomorphic parameters, quantitative exploration of tectonic geomorphic and tectonic activity in the Dabanghe River Basin is of great significance to reveal the formation of the Huangguoshu Waterfall, the development of landforms in western Guizhou, and the regularity of uplift of Guizhou Plateau. Therefore, based on a Digital Elevation Model, GIS software extracted and calculated six geomorphic parameters of the basin: Hypsometric Integral, Asymmetry Factor, Basin Shape Ratio, Stream-Gradient, and Valley Floor Width–Valley Height Ratio (VF) indexes. The tectonic geomorphic characteristics of the Dabanghe River Basin were analyzed, combined with the tectonic activity level classification method, and the Index of Relative Active Tectonics (IAT) of each sub-catchment was calculated. The geomorphic parameters of the basin were found to indicate its geomorphic characteristics well. The tectonic activity in the study area midstream is the most active, and the geomorphic evolution of some upstream and downstream reaches is affected by lithology, topography, and structure. The tectonic geomorphology of the basin is significantly affected by the fault system. Under the control of the Yadu–Ziyun Fault, the tectonic activity in the basin gradually weakens from west to east, and the differential tectonic activity (strong in the mid-reach and eastwards decrease) is consistent with observed seismic intensity. It is confirmed that our research results are consistent with the regional geological background and geomorphic characteristics through field geological survey. Therefore, this study confirms that the use of tectonic geomorphic parameters to classify active tectonics can be an important method to evaluate the stability of the crust in the region and further extends the application of geomorphic parameters in tectonics.
1 Introduction
To quantitatively analyze geomorphic evolution, scientists have established various quantitative indexes and morphological parameters reflecting geomorphic development [1,2,3,4,5,6]. With the development of digital topography, geomorphic parameters have increasingly been regarded as an important method for the study of tectonic geomorphic features, and tectonic activities worldwide [7]. Many scholars have introduced geomorphic parameters into tectonic geomorphology studies, providing scientific methods and basic data for quantifying geomorphic development [8,9,10,11,12,13,14,15]. Some scientists extracted geomorphological parameters such as channel belt area, channel belt width (W), braid bar area, mountain front sinuosity (SMF), stream gradient index (SL), valley floor width valley height ratio (VF), basin elongation ration (RE), and channel steepness index (KS). Typical basins and tectonic belts such as northeastern India, Majuli Island, South Rifian Bridges, Tatra Mountains, Meghalaya, Sikkim, and Sukhnag Basin have been quantitatively studied [16,17,18,19,20,21,22]. These studies enriched the theoretical library of digital geomorphology research. A digital elevation model (DEM) is the digital expression of surface elevation information, and it plays an important role in extracting and analyzing geomorphic parameters. Using GIS tools combined with DEM data can efficiently extract the corresponding geomorphic parameters [23]. Despite the DEM data, still exists some problems (such as resolution problem, missing value problem, and data acquisition problem) in the study of tectonic geomorphology; however, a good scientific outlook is displayed [24]. Combining DEM data with geomorphic parameters to study regional tectonic geomorphology and the evaluation of tectonic activity intensity has become the main means of quantitative research on geomorphic evolution. Through this method, scholars have carried out multi-dimensional tectonic geomorphology research on typical river basins, fault zones, orogenic belts, and other active tectonic zones around the world [25,26,27,28].
In the South China Karst, neotectonic activity has changed the regional hydrodynamic conditions and influenced the surface and underground erosion process, which was one of the factors driving the formation of karst landforms [29,30]. Neotectonics altered the cycle of karst landform development and evolution, making its evolution irregular. Periodically, in the old age stage, the tectonic movements may reverse the evolutionary process toward the mature or young age stage. During this process, hydrodynamic conditions are constantly changing, and various shapes of vertebral and tower-like karst landscapes are formed [31,32]. The Dabanghe River Basin is located in the western part of the Guizhou Plateau. The basin consists of limestone, dolomite, sand, shale, and sandy clay rocks from the Triassic, Permian, and Carboniferous [33], among which soluble carbonate rocks are the thickest and are subject to intense dissolution by flowing water erosion, and karst geomorphology is typical. The Dabanghe River is the main first-class tributary of the Beipan River Basin of the Pearl River system. Since the Cenozoic, it has been influenced by strong surface tectonic uplift due to the compression effect of the southeast Qinhai–Tibet Plateau uplift [34,35]. The Yanshan period compressional torsional anticline, syncline, and a series of regional faults have developed this area (Figures 1 and 2). In addition, within tens of kilometers of the middle reaches of the mainstream, a waterfall group has been formed from the headward erosion knickpoints, represented by Huangguoshu Waterfall, which is very sensitive to the response of tectonic uplift. These structures make this region an excellent place to study the interaction mechanism between regional neotectonic movement and karst geomorphology [36,37,38], and it is of great significance to clarify the tectonic geomorphic characteristics of the basin for the formation and evolution of Huangguoshu Waterfall, and the response mechanism of karst development in the South China Karst to neotectonics. The western plateau of Guizhou is a typical karst erosion landform with a continuous distribution. Due to the lack of surface sediment records, it is difficult to undertake geochronology research, and it is still very difficult to clarify its geological evolution history since the Cenozoic [39]. This is the bottleneck of the geomorphic evolution research in western Guizhou and even the whole South China Karst. Using DEM data combined with geomorphic parameters can quantitatively explore the evolution characteristics of regional karst geomorphology and its relationship with tectonic movement. At present, the evaluation and research on the crustal stability of the Guizhou Plateau are mainly focused on the interpretation of active faults and earthquakes. The use of geomorphic parameters to construct active levels could enrich the evaluation methods of the crustal stability of the region [40,41,42]. Many rivers around the Qinghai-Tibet Plateau are strongly influenced by the neotectonic movement, and the river geomorphology of the basin often responds well to the tectonic uplift of the surface [43]. The Dabanghe River Basin is located on the southeast edge of the Qinghai-Tibet Plateau. The geological structures, such as folds, faults, knickpoints, and waterfalls, are relatively developed in the basin (Figure 1). This forms a natural laboratory for studying tectonic activities. Previous studies on the basin mostly focused on hydrology, ecology, engineering, and other aspects. There is a lack of research on geomorphic evolution. Therefore, the Dabanghe River Basin is selected as the study area, and the characteristics of its tectonic landforms and the intensity of tectonic activities are studied quantitatively by combining geomorphological parameters, which assist in further understanding the tectonic uplift of the surface and its geomorphological evolution pattern in the South China Karst.
![Figure 1
Location and lithologic distribution diagram of the Dabanghe River Basin. Lithology and fault data [33,38]. The name of the waterfalls are as follows: f1: Dishuitan Waterfall; f2: Doupotang Waterfall; f3: Huangguoshu Waterfall; f4: Luositan Waterfall; and f5: Yinlianzhuitan Waterfall. This figure was obtained by plotting ASTER GDEM V2 data (the spatial resolution is 30 m).](/document/doi/10.1515/geo-2022-0481/asset/graphic/j_geo-2022-0481_fig_001.jpg)
Location and lithologic distribution diagram of the Dabanghe River Basin. Lithology and fault data [33,38]. The name of the waterfalls are as follows: f1: Dishuitan Waterfall; f2: Doupotang Waterfall; f3: Huangguoshu Waterfall; f4: Luositan Waterfall; and f5: Yinlianzhuitan Waterfall. This figure was obtained by plotting ASTER GDEM V2 data (the spatial resolution is 30 m).
![Figure 2
Geomorphological types in the Dabanghe River Basin [47]. Di W. (Dishuitan Waterfall); Dou W. (Doupotang Waterfall); H W. (Huangguoshu Waterfall); L W. (Luositan Waterfall); Y W. (Yinlianzhuitan Waterfall).](/document/doi/10.1515/geo-2022-0481/asset/graphic/j_geo-2022-0481_fig_002.jpg)
Geomorphological types in the Dabanghe River Basin [47]. Di W. (Dishuitan Waterfall); Dou W. (Doupotang Waterfall); H W. (Huangguoshu Waterfall); L W. (Luositan Waterfall); Y W. (Yinlianzhuitan Waterfall).
In this study, ArcGIS, MATLAB, CalHypso, and other software or tools were used to calculate and extract various geomorphological parameters of the Dabanghe River Basin [44,45]. In addition, the evolution of geomorphology in this area was discussed from the following aspects: indication of geomorphic parameters to geomorphic characteristics of the region, the control effect of faults on the landscape of the basin, the spatial variation in tectonic geomorphic characteristics in the study area, and the quantitative analysis of tectonic activities.
2 Materials and methods
2.1 Study area
The Dabanghe River Basin intersects the Guanling, Zhenning, and Xixiu Districts in Anshun. The river flows into Beipan River in Fujiazhai, Guanling. The geographical latitude is 105°15′–106°05′ E, 25°34′–26°43′ N. It is a first-class tributary of Beipan River [46] and has two sources in the east and west. The west source is the Kebu River and the Wanger River in the east. The shape of the basin is an inverted triangle with a catchment area of 2,891 km2 (Figure 1). The altitude of the basin decreases from 2,015 m in the north to 369 m in the estuary in the south, and the terrain differs greatly. The longitudinal slope of the Dabanghe River is steep, with an average gradient of 9.5‰. The upstream is characterized by many wide valleys, while deep valleys are formed in the midstream and downstream. The Huangguoshu Waterfall is located in the middle of the Dabanghe River. Using the Huangguoshu Waterfall as the reference point, the valleys upstream of the waterfall are wide with a depth of less than 50 m. The reach between Huangguoshu and Hongyan (Figure 1) often forms surface or underground knickpoints at the confluence of the main river and tributaries. The valley structure is distributed alternately longitudinal, with transverse valleys. The region below Hongyan is a wide V-shaped structure with a strike-type depth of more than 150 m (Figure 3a and b). The channel is wide, and the longitudinal section is mostly gentle except for the scarp, with 3–5 m of accumulation terraces along the river (Figure 3c and d). Subjective and objective classification of basic geomorphic types is beneficial for a clearer understanding of regional basic geomorphic types. The 30 m resolution DEM data was selected, and 40 m × 40 m elevation data of the study area was obtained after resampling. After repeated tests, a 7 × 7 moving analysis window was selected to obtain the regional topographic relief. Lastly, the relief data and the DEM data were overlaid and processed according to the subjective and objective classification system of landforms. We lastly classified the basic geomorphic types of the study area according to the classification system of subjective and objective geomorphic types (Table 1 and Figure 2) [47]. The basic geomorphic types such as a low basin, low hill, small relief mid-low mountain, middle relief mid-low mountain, small relief middle mountain, and middle relief middle mountain are developed in the basin (Figure 2). In addition, the karst landform in the basin is typical, and a series of typical karst landforms, such as karst caves, fenglin, and peak clusters, are developed [30]. The study area is located in the transitional slope zone from the Qinghai–Tibet Plateau to the Guangxi Hilly and in the northeast fold zone of the slope of the Yunnan-Guizhou Plateau in the Yangtze Block. Since the Cenozoic, a series of tectonic uplift movements have occurred due to the compression effect of the Qinghai-Tibet Plateau uplift [46]. Soluble limestone is widely distributed in the basin. In addition to a large amount of exposed Carboniferous, Permian, and Triassic limestone and dolomite, there are also clastic rocks such as Middle Triassic limestone with shale, Lower Triassic sand shale, Middle Permian sand shale, Upper Triassic lithic quartz sandstone, and sandy clay rock (Figure 1). A series of NW, NE-trending faults and regional small faults, such as Yadu–Ziyun, Shuicheng–Wangmo, Shangmuza, Yongningzhen, Shangtianba, and Zhenfeng Faults, developed in the basin, with a complex tectonic system and tectonic landform development. Among them, the NW-trending Yadu–Ziyun Fault controls the landscape of the area. The Yadu–Ziyun Fault Zone is composed of a series of NW and SW-trending imbricate thrust faults, which were formed in the Upper Paleozoic and Triassic strata [40]. These experienced a strong tectonic activity as early as the Yanshan period [41]. Qiu et al. determined that the Yadu–Ziyun Fault was a late Pleistocene Fault with strong activity by magnetotelluric measurement; in addition, it is influenced by the typical active tectonic belt [42]. In the southeastern section of the fault, when the Dabanghe River passes through the active tectonic belt from north to south, the Huangguoshu Waterfall groups, the Tianxing Bridge, and the karst cave have formed in the range of 10 km. This implies that the active tectonic zone has had a profound influence on the geomorphological evolution of the region.

Field geological survey photos: (a) and (b) wide V-shaped valley in the lower reaches of Hongyan; (c) and (d) river terraces developed in the lower reaches of Hongyan. Note: T1 represents the first terrace, and T2 follows closely.
Subjective and objective landform classification table
Relief/m | Elevation/m | ||
---|---|---|---|
300–900 | 901–1,500 | 1,501–2,000 | |
0–30 | Low basin | Mid-low basin | Middle basin |
31–200 | Low hill | Mid-low hill | Middle hill |
201–500 | Small relief low mountain | Small relief mid-low mountain | Small relief Middle mountain |
501–1,000 | Middle relief low mountain | Middle relief mid-low mountain | Middle relief Middle mountain |
2.2 Data and methodology
2.2.1 Data
The ASTER GDEM V2 (Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model) data used in this study was acquired from the geospatial data cloud, which was jointly developed by METI and NASA, and distributed to the public for free. The elevation accuracy of this data had been improved to 12.6 m. We found that these data are suitable for extracting geomorphic parameters after testing.
2.2.2 Methods
We corrected the spatial position of the channel based on the field geological survey and Google Earth image first and then determined the catchments where the channel developed as the sub-catchments of the Dabanghe River. Finally, we obtained 31 sub-catchments. The tectonic geomorphological characteristics of the Dabanghe River Basin were analyzed by extracting a series of geomorphological parameters and calculating IAT values for each sub-catchment by developing an activity classification method. It aims to discuss the influence of tectonic activity on regional geomorphic evolution. Among them, GIS is used to extract and calculate HI, Asymmetry Factor (AF), Basin Shape Ratio (BS), SL, and VF (Figure 4).

Flow chart of methods for determining sub-catchments and extracting geomorphologic parameters in this study. V Fl W–V H R: valley floor width–valley height ratio.
In addition, we used ArcGIS and CalHypso to calculate the hypsometric integral (HI) curve [45]. The MATLAB script was used to extract knickpoints and logSA (logarithmic curve of drainage area and slope) diagrams to further analyze the cause of the formation of knickpoints and falls [44]. Each parameter model is defined as follows:
HI is used to represent the volume proportion of uneroded material in a catchment and is a parameter indicator to quantitatively describe elevation distribution in a certain region and to reflect the geomorphic erosion response of a catchment. In Figure 5a, “h” refers to the elevation of the non-eroded landform in a basin, and “H” refers to the initial elevation of the basin before being eroded. Different shapes of curves in Figure 5b represent different stages of geomorphic development [1]. The calculation formula is:
where mean represents the average elevation of the catchment, min represents the minimum elevation value, and max refers to the maximum elevation of a basin.
![Figure 5
Graphical interpretation of each tectonic-geomorphic parameter: (a) schematic of the watershed geomorphology evolution [1]; (b) HI curve chart; (c) schematic of the tectonic tilt of the basin; (d) schematic of the geomorphological parameters of AF, including the main streams and tributaries of the basin, and the areas through which they flow [5,6]; (e) schematic of the geomorphological parameters of BS[4]; (f) schematic diagram of SL [48]; (g) cross-section of the VF index [4], and (h) 3D map of the VF from the DEM.](/document/doi/10.1515/geo-2022-0481/asset/graphic/j_geo-2022-0481_fig_005.jpg)
Graphical interpretation of each tectonic-geomorphic parameter: (a) schematic of the watershed geomorphology evolution [1]; (b) HI curve chart; (c) schematic of the tectonic tilt of the basin; (d) schematic of the geomorphological parameters of AF, including the main streams and tributaries of the basin, and the areas through which they flow [5,6]; (e) schematic of the geomorphological parameters of BS[4]; (f) schematic diagram of SL [48]; (g) cross-section of the VF index [4], and (h) 3D map of the VF from the DEM.
AF is a parameter representing the tilt degree of a catchment. The AF value is defined as:
where A r refers to the catchment area located on the right side of the stream along the main stream direction (downstream outlet direction), and A t refers to the total area of the catchment. The higher the AF value, the greater the tilt degree, and vice versa (Figure 5c and d) [5,6].
BS describes the development shape of a catchment and is a geomorphic parameter used to quantitatively study the topographic development and tectonic activity intensity of a catchment. The formula is defined as:
where B l indicates the linear distance from the stream source to the outlet of the catchment, and B w is the maximum width of a catchment. The narrower the basin, the stronger the tectonic activity (Figure 5e) [4].
The SL is obtained by multiplying the local slope value by the distance from the stream source to the center, amplifying the numerical effect of the local slope value, and reflects the regional difference of tectonic movement and erosion resistance of rock. The SL value is defined as:
where ΔH represents the relative elevation difference of the local stream, ΔL represents the length of the stream, ΔH/ΔL represents the slope value of the local stream, and L refers to the distance from the source of the stream to the center point (Figure 5f) [48].
The VF is a geomorphological parameter used to describe the U-shaped and V-shaped valleys. The formula proposed by Bull is as follows:
where Vfw is the width of the valley bottom, Eld is the elevation of the left valley shoulder, Erd refers to the elevation of the right valley shoulder, and Esc refers to the altitude of the valley bottom (Figure 5g and h) [4].
By calculating the geomorphic index values of each sub-catchment, the IAT is calculated. Then, IAT is divided according to the classification method of HI, AF, BS, SL, and VF indexes of each sub-catchment. Level 1 (1.0 ≤ IAT < 1.5), very strong tectonic activity; level 2 (15 ≤ IAT < 2.0), strong tectonic activity; level 3 (2.0 ≤ IAT < 2.5), moderate tectonic activity; level 4 (2.5 ≤ IAT), weak tectonic activity (Table 2) [4,21,48,49,50,51,52]. IAT is calculated as follows:
Classification table of each geomorphological parameter
Level 1 | Level 2 | Level 3 | Level 4 | References | |
---|---|---|---|---|---|
HI | HI > 0.50 | 0.40 < HI < 0.50 | HI < 0.40 | — | [49,50] |
AF | |AF − 50| ≥ 15 | 7 ≤ |AF − 50| < 15 | |AF − 50| < 7 | — | [21,51] |
BS | BS ≥ 3 | 2 ≤ BS < 3 | BS < 2 | — | [4,52] |
SL | SL ≥ 500 | 300 ≤ SL < 500 | SL ≤ 300 | — | [48,52] |
VF | VF < 0.50 | 0.5 ≤ VF < 1 | VF > 1 | [50,52] | |
IAT | 1.0 ≤ IAT < 1.5 | 15 ≤ IAT < 2.0 | 2.0 ≤ IAT < 2.5 | 2.5 ≤ IAT | [50,52] |
3 Results
3.1 HI
The HI index value reflects the degree of erosion and the stage of geomorphic development in the watershed. When HI < 0.40, the geomorphic development is at the old age stage [21]; when 0.40 < HI < 0.50, the geomorphic development is within the middle age; and, where HI > 0.50, the surface erosion is intense and unevenly developed, which is the juvenile stage [50]. The results showed that the sub-catchments HI ranged from 0.327 to 0.661, with large spatial differences in the HI values, indicating uneven geomorphic erosion and significant spatial differences in tectonic movements within the basin. Based on the extraction results, the geomorphic development of the Dabanghe River Basin was classified into juvenile (0.501 < HI < 0.661), middle (0.401 < HI < 0.500), and old stages (0.327 < HI < 0.400) (Figure 6) (Table 2). The area of the juvenile landform is the largest in the central region, which is also the area where Huangguoshu Waterfall and its core waterfall groups are located. This indicates that the development of Huangguoshu, and its core waterfall group, is still at a young stage (Figure 6). The HI curves are mostly an upward convex trend (Figure 7). The distribution of HI values shows that the landform developed in the central and western regions is relatively younger than that in the eastern and northeastern regions. Figures 6 and 7 show that high HI values and convex HI curves are mainly distributed near some thrust faults and regional faults (such as Shuicheng-Wangmo, Zhenfeng, and Shangmuzan Fault), which may indicate that these faults have a significant impact on the HI index.

The spatial distribution map of HI in the Dabanghe River Basin. f1: Dishuitan Waterfall; f2: Doupotang Waterfall; f3: Huangguoshu Waterfall; f4: Luositan Waterfall; f5: Yinlianzhuitan Waterfall.
![Figure 7
The HI curve, where the horizontal coordinate normalized cumulative (a/A) represents the ratio of the uneroded area of the catchment to the total area; and normalized elevation (h/H) represents the ratio of the elevation of the uneroded surface to the maximum elevation of the catchment [1]. The dotted line in the figure shows the concave HI curve, most of which comes from the east bank of the basin. Arrows show their HI values.](/document/doi/10.1515/geo-2022-0481/asset/graphic/j_geo-2022-0481_fig_007.jpg)
The HI curve, where the horizontal coordinate normalized cumulative (a/A) represents the ratio of the uneroded area of the catchment to the total area; and normalized elevation (h/H) represents the ratio of the elevation of the uneroded surface to the maximum elevation of the catchment [1]. The dotted line in the figure shows the concave HI curve, most of which comes from the east bank of the basin. Arrows show their HI values.
3.2 AF
The higher the AF index value, the greater the degree of tectonic tilt, and vice versa. The AF index value can quantitatively reveal the degree of regional tectonic activity, and in general, the greater the deviation of the AF value from 50, the greater the basin tilt, and vice versa. Therefore, the value of |AF − 50| can quantify the degree of asymmetry of the basin shape [6]. Based on the results, the AF index values in the Dabanghe River Basin were classified into three levels, with the first level being 15.01–42.29, mainly in the west and south of the basin, with occasional distribution in the north. The second level is 7.01–15.00, mainly distributed in the northwest and southwest regions of the watershed. The third level was 0.40–7.00 in the northern and the northeastern regions of the basin (Figure 8) [21]. The spatial distribution of AF values in the basin can clearly see that the tectonic tilt degree in the west is generally greater than that in the east.

Spatial distribution of AF index of the basin’s sub-catchments.
3.3 BS
The BS index values in the Dabanghe River Basin range from 0.54 to 6.98. Based on the extraction results, the sub-catchment BS index was divided into three levels: the first level is 3.01–6.98, mainly in the central and the western regions of the basin, which indicates the relatively strong tectonic activity in these regions; the second level is 2.01–3.00, mostly in the southwestern and northwestern regions of the basin, which indicates moderate tectonic activity; the third level is 0.54–2.00, within the east, north and northeast parts of the basin, which may indicate that the intensity of tectonic activity in these regions is weak (Figure 9).

Spatial distribution of BS values in the studied basin.
3.4 SL
The SL index values for the Dabanghe River mainstream range from 0 to 5,025, with large spatial differences, indicating that the channel’s SL values are subject to tectonic uplift with significant regional differences. In the middle section of the channel, larger SL values are distributed. In the lower section of the channel, the SL index values in the ranges of 0–300, 301–500, and 501–1,000 are distributed intermittently (Figure 10). The spatial distribution of these SL values shows the steeper longitudinal profile of the midstream (from Doupotang Waterfall to Hongyan Village and Guanjiao Knickpoint reach), which may indicate relatively stronger tectonic activity in the midstream.

SL values for the Dabanghe River Basin. Di W. (Dishuitan Waterfall); Dou W. (Doupotang Waterfall); H W. (Huangguoshu Waterfall); L W. (Luositan Waterfall); Y W. (Yinlianzhuitan Waterfall).
3.5 Valley floor width–valley height ratio
The VF values of the 44 valleys of the Dabanghe River mainstream were extracted and calculated (Figure 11), yielding a range from 0.10 to 15.00. From the spatial distribution of the VF index values, a continuous distribution of low VF values was observed in Huangguoshu, and its core waterfall groups. The high VF value indicates that the valley presents a U-type, with a wide valley bottom. Taking Huangguoshu and its core waterfall group as the boundary, the VF values of the northern valleys are generally greater than 1, and the development of broad valleys, only the eighth valley has a value of VF <1. South of Huangguoshu, more valleys with VF index values less than 1 are present. This indicates that the spatial differences in the development characteristics of the upstream and downstream valleys in the Dabanghe River Basin are obvious with Huangguoshu Falls as the dividing point (from Doupotang Waterfall to Hongyan Village, most of the river valleys are V-shaped. And some deep valleys are also developed in the Guanjiao Knickpoint reach [Figure 11]). The spatial distribution of VF values shows that the valleys developed in the midstream are V-shaped, which shows that the strong down-cutting erosion in these reached [4].

Spatial distribution of the VF values for studied basin.
3.6 Index of relative active tectonics (IAT)
To get the IAT value of each sub-catchment in the Dabanghe River Basin, we count the SL index value of the main channel of each sub-catchment at an interval of 1 km. The results show that the high values of the SL index are mainly distributed in the west, southwest and middle of the basin (Figure 12a). We calculate the SL average value in each sub-watershed, and the results show that the high SL values are mainly distributed in the northwest of the basin (Figure 12b). We calculate the VF values of the main channel of each sub-catchment at an interval of 1 km. The results show that the high VF values are mainly distributed in the west, central and south, and the low values are distributed in the east and north of the basin (Figure 12c). By calculating the VF average value of the sub-catchments, we found that the low values are mainly distributed in the north and northeast (Figure 12d). The HI, AF, BS, SL, and VF levels of the sub-catchments were finally used to calculate the IAT levels of the sub-catchments following equation (6) [4,21,48,49,50,51,52]. Combined with the classification method of each geomorphic index (Table 2), the levels of the IAT were finally divided (Figure 12e and Table 3). The results of the IAT levels and classification show that the high levels are mainly distributed in the middle and west regions of the basin (Figure 12e). This shows that the tectonic activity intensity of the basin is stronger in the west than in the east. The midstream is stronger than the upstream and downstream (Figure 12e).

(a) Spatial distribution of the SL values of tributaries; (b) the SL average values of the sub-catchments; (c) the VF values of tributaries; (d) spatial distribution of the VF average values of the sub-catchments, and (e) the IAT values and IAT levels division of the studied basin.
Geomorphologic parameters and IAT levels of the sub-catchments
Sub-catchments’ number | Geomorphic parameters and their levels | |||||
---|---|---|---|---|---|---|
HI | AF | BS | SL | VF | IAT | |
1 | 1 | 1 | 3 | 3 | 3 | 3 |
2 | 2 | 1 | 3 | 3 | 1 | 3 |
3 | 2 | 1 | 3 | 3 | 3 | 3 |
4 | 2 | 1 | 3 | 3 | 3 | 3 |
5 | 3 | 1 | 3 | 3 | 1 | 3 |
6 | 3 | 1 | 3 | 3 | 2 | 3 |
7 | 2 | 1 | 3 | 3 | 2 | 3 |
8 | 2 | 1 | 3 | 3 | 3 | 3 |
9 | 1 | 1 | 3 | 3 | 2 | 3 |
10 | 2 | 3 | 3 | 3 | 2 | 4 |
11 | 1 | 2 | 2 | 3 | 2 | 3 |
12 | 2 | 1 | 3 | 3 | 2 | 3 |
13 | 2 | 1 | 3 | 3 | 3 | 3 |
14 | 3 | 1 | 3 | 3 | 3 | 4 |
15 | 2 | 2 | 2 | 3 | 3 | 3 |
16 | 2 | 1 | 3 | 3 | 3 | 3 |
17 | 2 | 3 | 3 | 3 | 3 | 4 |
18 | 2 | 1 | 3 | 3 | 3 | 3 |
19 | 2 | 3 | 3 | 3 | 3 | 4 |
20 | 1 | 3 | 1 | 3 | 2 | 3 |
21 | 1 | 1 | 1 | 3 | 1 | 1 |
22 | 1 | 1 | 2 | 3 | 3 | 3 |
23 | 1 | 1 | 1 | 2 | 3 | 2 |
24 | 1 | 2 | 1 | 3 | 2 | 2 |
25 | 1 | 2 | 1 | 2 | 3 | 2 |
26 | 1 | 2 | 2 | 2 | 3 | 3 |
27 | 3 | 3 | 3 | 3 | 3 | 4 |
28 | 3 | 3 | 3 | 3 | 3 | 4 |
29 | 3 | 2 | 2 | 3 | 3 | 4 |
30 | 1 | 3 | 3 | 3 | 3 | 4 |
31 | 2 | 3 | 3 | 3 | 3 | 4 |
3.7 Spatial difference of geomorphologic parameters and characteristics of the studied basin
3.7.1 Indication of geomorphic parameters on the geomorphic characteristics of the basin
The progress of geospatial technology enables us to use DEM data to classify landforms. For example, Agrawal and Dixit used the topographical position index to classify landforms in northeastern India [53]. To more intuitively understand the basic geomorphic types of the Dabanghe River Basin, the DEM data were processed according to the subjective and objective classification system of basic geomorphic types [47] (Table 1), and the distribution map of basic geomorphic types was obtained (Figure 2). The basic geomorphological types and topographic relief of the basin are useful to further explore the indication of each geomorphological parameter to the geomorphological features.
The low HI values in the Dabanghe River are mostly distributed in the Guijia River Basin (No. 27 sub-catchment) and some sub-catchments downstream (Figures 1 and 6). The high values are mainly distributed in the northwest, southwest, and middle parts of the basin. Overall, most are in the central section. The central section of the Dabanghe River is the river sections where the waterfalls and knickpoints are concentrated. The landform development is in the young stage, and the HI values are high (Figure 6). The AF index reflects the tectonic tilt degree of the basin. The tilt degree is stronger in the west, center, and south regions (Figure 7), and tilt to the left bank. This is consistent with the terrain features of the Guizhou Plateau, which is high in the northwest and low in the southeast owing to the lateral expansion of the Qinghai–Tibet Plateau [39]. The medium and high values of the BS index in the Dabanghe River Basin are mainly distributed in the Baling River Basin (No. 23 sub-catchment) (Figures 2 and 9), and some sub-catchments in the central regions (No. Sub-catchment 20–21, 24–25). The northern region of the Baling River Basin is a mid-low basin, and the southern region is low relief middle mountain and middle hill (Figure 2). The terrain of the basin is undulating (Figure 13a), and the basin is narrow and long (Figures 2 and 9). Both the SL and VF indexes can indicate the development form of the valley. Upstream, the Dabanghe River flows through the area with relatively small terrain fluctuation (Figure 2), and the SL and VF values are low-the wide valleys are developed, and the longitudinal profile of the channels are flat (Figure 13b and c). Subsequently, it flows through the area with large terrain fluctuation located at the intersection of middle and low mountains and middle and low hills (Figure 2). Several high SL values and low VF values appear in the Huangguoshu Waterfall, Luositan Waterfall, and Yinlianzhutan Waterfall regions. The longitudinal slope of the riverbed is steep; therefore, a box canyon has developed (Figure 13d and e). The SL and VF values of the Baling River Basin in the west of the basin are also of high level, and the river longitudinal profile are steep (some knickpoints are developed on the longitudinal section, such as Dishuitan Waterfall, etc.) and V-shaped canyons are developed (Figure 13f–h). The geomorphic parameters can better indicate the geomorphic evolutionary characteristics of the study area, and studying the regional geomorphic evolution in combination with various geomorphic parameters can provide more comprehensive results.

Field geological survey photos. (a) The undulating terrain near Baling River Canyon; (b) and (c) the wide valley upstream; (d) Huangguohu Waterfall and some knickpoints; (e) box canyon developed near Huangguoshu Waterfall; (f) and (g) satellite image of Dishuitan Waterfall (from Google Earth Image) and site photos; (h) deep V-shaped canyon developed in Baling River.
3.7.2 Spatial difference of geomorphologic parameters and characteristics of the studied basin
Geomorphological evolution is restricted to glacier, lithology, tectonic, external forces, and other factors [54]. The influence of lithology on the development of landforms is mainly reflected by the erosion resistance of lithology [55]. Generally, the erosion resistance of clastic rocks is weak, therefore the wide valleys developed mostly in the distribution area of clastic rocks such as shale and mudstone [56]. Because the middle and lower reaches of the upstream of the Dabanghe River flow through the middle Permian sand shale with limestone and the upper Triassic quartz sandstone and sandy clay rock (Figures 1, 9, 14 and 15), the VF value is higher in the upper reaches of the Dabanghe River. Using the MATLAB script, 250 m was selected as the sliding window, and 12.2 m was used as the elevation interval. The LogSA diagram, knickpoints, and longitudinal section of the main stream of the Dabanghe River were extracted (Figure 14a and b) [44]. The slope of the steady-state stream decreases with the increase in the catchment area. However, due to the influence of tectonic activities, the slope of some river sections increases significantly, and the SL value changes to varying degrees [57]. In addition to reflecting the degree of tectonic activity of the river section, the SL index can also indicate the lithology erosion resistance [58]. When the river section flows through the stratigraphic lithology boundary, the SL index changes [59]. The erosion resistance of clastic and soluble rocks is significantly different [60]. Through the distribution map of soluble and clastic rocks in the superimposed area, it can be found that the river section of the eighth valley flows between the soluble rock and the clastic rock, from soluble limestone to sandy shale, and the longitudinal section of the river changes (Figures 14b, 15a and b).

(a) Logarithmic diagram of slope and area of Dabang River main stream (Log SA), The black line in the figure represents the linear fitting of the logarithm of area and slope, and the black point represents the knickpoint; (b) River longitudinal profile and knickpoints, and spatial distribution including lithology using MATLAB script extraction of the main stream.

(a) Distribution of soluble and non-soluble rocks in the study area; (b) River longitudinal section of the upstream, midstream, and downstream of the study area, and the distribution of knickpoints and waterfalls.
In the Dabanheg River midstream, the HI, AF, and BS values were high, SL value was larger, and the VF value was lower. This river section contains the world famous Huangguoshu Waterfall and its core waterfall groups. This section is located near the Shuicheng-Wangmo Fault. The Hongyan area is intersected by the fault, and the geological tectonic activity is strong. This region has the highest SL values in the entire Dabanghe River Basin. The longitudinal section of the river is steep, and a series of large waterfalls and small knickpoints appear (Figures 6, 8–12). The upper section of the Dabanghe River midstream flows through a soluble rock distribution area with uniform lithology (Figure 15a and b). In the section with uniform lithology, the SL values change to varying degrees, and the values are generally high, indicating that the tectonic is the controlling factor affecting the longitudinal section of this reaches. The development of the valley landform of the Dabanghe River is affected by the local erosion base level, and the wide valleys and canyons from the upstream to the downstream are distributed alternately (Figure 16) [36]. This feature records the tectonic uplift movement of the crust. The rise of the crust causes the erosion base level to decline, bringing strong stream headward erosion and forming a series of headward erosion-type knickpoints. The formation of the Huangguoshu Waterfall is related to headward erosion. When the headward erosion reaches the lower regions, it first forms a karst-erosion sinkhole waterfall, and then collapses due to karst dissolution and erosion, forming the current Huangguoshu Waterfall. This indicates that a series of waterfalls and knickpoints which formed in the Dabanghe River midstream are related to the headward erosion caused by tectonic uplift. Therefore, a series of high SL values appeared in this section. In the lower region of the middle reaches, the longitudinal section of the river is gentle. Overall, the tectonic activity in the Dabanghe River midstream is relatively strong. The landform development is generally in the young stage, and the degree of structural inclination is strong. The deep box-canyons are generally developed in the river valleys, the channels are steep, and a series of large-scale waterfalls and knickpoints. The SL value of the Dabanghe River downstream is generally low, and only the SL value of the river section, approximately 65–67 km (Guanjiao Knickpoint) in the upper section of the downstream, becomes larger, which is mainly related to the change of lithology, the transition from soluble to non-soluble rock changes the SL index (Figure 15a and b). The lower segment of the downstream is bounded by the Zhenfeng thrust fault, and the VF values are larger on the south side of the fault and smaller on the north side. This is mainly because the northern side is the relative uplift area of the hanging wall of the fault. Under the influence of the uplift of the fault block, the downcutting erosion of the river dominates and forms a deeper valley. On the southern side, due to the relative decline of the fault block, the erosion is opposite to that of the Dabanghe River. Therefore, the horizontal and vertical erosions occur alternately, resulting in the characteristics of wide and deep valley bottom development on the relative decline side of the Zhenfeng Fault (Figure 16a and b). The knickpoint is affected by the tectonic uplift rate, uplift time limit of the upper and lower reaches of the river, and it will gradually move upstream [57,61]. The knickpoint often retreats upstream during the tectonic stationary period, and the subsequent tectonic uplift period causes the riverbed surface to erode and disintegrate during the stationary period, forming a rapid and knickpoint. Therefore, the sudden change of the high SL values and the alternating distribution of the high or low VF values in the Dabanghe River midstream are not only affected by the lithology difference, but reflect the intermittent uplift characteristics of the neotectonic movement in this river section.

Distribution of normalized VF index data: (a) local zoomed-in view of VF sampled valley points, corresponding to the orange circles in the normalized figure, the orange points in the figure represent the VF sampling points in the valley, and the red line indicates the location of the fault; (b) VF values corresponding to the orange sampled valley in (a).
The knickpoints on the Dabang River mainstream were classified by superimposing regional geological and lithologic maps on the stream longitudinal. The knickpoint types were divided into vertical-step and slope-break knickpoints. If the stream longitudinal abruptly becomes steep only in a local area near knickpoints, these were referred to as slope-break knickpoints. In general, abrupt changes in the lithology of river channels tend to form vertical-step knickpoints [61,62]. Because the spatial location of lithology is fixed, the location of vertical-step knickpoints are usually fixed. Compared to vertical-step knickpoints, slope-break knickpoints move upstream over time [63]. Based on the above theory, the first, sixth, and seventh knickpoints were found to be vertical-step knickpoints. The knickpoints in the midstream were mostly slope-break knickpoints, which is consistent with our analysis above (Figure 14a and b). Through the analysis of the spatial difference of tectonic geomorphology in the up, mid, and downstream of the Dabanghe River, it was concluded that the tectonic activity in the midstream of the basin was the strongest. The geomorphic evolution of the local reaches of the upstream and downstream is affected by lithology, topography, and hydrodynamic conditions.
4 Discussion
4.1 The controlling effect of faults on the Dabanghe River Basin landform
The Yadu–Ziyun Fault zone is approximately 350 km long in the Guizhou Province [40]. Zhang et al. noted that strong tectonic activity occurred in the Wei-Zi-Luo Fault zone in western Guizhou during the Early Yanshan period, and in the late Middle Triassic, the Youjiang Basin was closed. In addition, under the action of the extrusion stress field of the South China Massif, the fault zone underwent recoil and left-slip movement with obvious slip nature. Extrusion deformation and slip activity then occurred in the western, the Weining–Shuicheng, middle, and the Shuicheng–Xiaohebian sections in the western region of the fault zone, and the middle section of the fault zone [41]. Wang and Yin discussed the tectonic association between the Ziyun–Luodian Fault and the Niulanshan Anticline, and noted that the Ziyun–Luodian Fault was formed in the Upper Paleozoic and Triassic strata, and the strata had a strong strike-slip deformation along the fault [64]. As a result, an approximately equilateral acute triangle area surrounded by three framed anticline belts was formed on the west side of the Yadu–Ziyun Fault in the Liupanshui area, which was called the Langdai Triangle Structure [65]. The Langdai Triangle Structure zone is located west of Dabanghe River Basin, with a complex structure and developed fold system. Therefore, the tectonic activity in the west of the study area is strong, and the IAT levels are high. The Yongningzhen Fault is located southwest of the study area, with the characteristics of a thrust fault. The fault throw of the strata is approximately 600 m, the compression fracture width is 8 m, the deformation is strong in the sub-catchments of the southwest and west of Dabanghe River Basin, and the tectonic activity is strong under the influence of this fault and the Puli Fault (F7) [38]. The Shangtianba Fault, which is located in the northeastern region of the basin, strikes approximately 55−60°NE and inclines to the southeast. It cuts through the Permian and Triassic strata in the basin and develops a fault fracture zone greater than 20 m [38]. Some affected sub-catchments in the northeastern region of the basin have prominent active tectonic, high HI values, and convex HI cure (Figures 6 and 7). The Shangmuzan Fault has thrust property, and it mainly cuts the Lower Triassic Yongningzhen Formation, Middle Triassic, and Upper Triassic Laishike Formation [38]. Affected by the fault, the west of Dabang River shows strong active tectonic.
However, there are many factors that affect the evolution of landforms. In addition to tectoniclly factors, lithology, climate, and glaciers also affect the development and evolution of landforms. The geomorphic parameter values can reflect the characteristics of regional geomorphic evolution well. This study found that the lithology distribution in the study area is generally uniform, with mostly carbonate rocks, and the exposed strata are mostly Permian and Triassic strata. In areas where there is no significant difference in erosion resistance, the geomorphic parameter values changed to varying degrees, which means that lithology is not the main driver affecting the evolutionary characteristics of regional landforms. Precipitation directly affects the size of the erosion coefficient. When the precipitation is large, the erosion coefficient becomes larger. The time for the development of the landform to reach equilibrium is shortened, and the corresponding landform index level decreases [66]. The climate of the study area is a subtropical monsoon humid climate with little difference in precipitation (Figure 17a); therefore, climate is not the main factor affecting geomorphological development. The study area has not been affected by glaciers since the Cenozoic (Figure 17b); therefore, the effect of glaciers on geomorphic evolution can be excluded. Therefore, the geomorphological evolution of the study area is considered to be significantly affected by geological tectonic. The level of regional geomorphic parameter values of fault development is generally high (Figure 12). However, it should be noted that this is only applicable to the larger scale, where some specific reaches or regions' geomorphological evolution is only affected by the lithology, had been discussed in the last chapter. This study confirms that faults have a significant impact on the geomorphic evolution of the area. The areas with dense faults have higher IAT levels and stronger tectonic activities. In summary, the tectonic geomorphology of the Dabanghe River Basin is affected by the fault system. Among them, the regional large-scale Yadu–Ziyun Fault plays a controlling role in the tectonic geomorphology of the basin.

(a) Average annual rainfall (mm a−1) in the study area, And these data can be found in Data availability statement part; (b) Distribution of present glaciers in the Qinghai–Tibet Plateau and its surrounding areas and the glacier data we collected were obtained from the National Cryosphere Desert Data Center-the first and second glacier inventory data (Data availability statement part). Q F. (Qianzhong Falut); Y-Z F. (Yadu–Ziyun Fault); M-S F. (Mile-Shizong Fault).
4.2 Quantitative analysis of tectonic activity intensity in the Dabanghe River Basin
Based on the Ms2.0–4.7 earthquakes in the Dabang River Basin and its surrounding areas from 2002 to 2022, we found that the earthquakes with a focal depth of 5–20 km and Ms2.0–4.7 have mainly occurred in the Langdai triangle tectonic area and the central canyon area of the Beipan River since 2002 (Figure 18a and b). In the Dabang River Basin, earthquakes mostly occur in the west and southwest of the basin, and its surrounding areas. An Ms4.1 earthquake also occurred in the southern part of Zhenning in the midstream of the basin. This indicates that the tectonic activity in the midstream of the Dabanghe River Basin is relatively strong, and the number of earthquakes with Ms2.0 or above in the western Liuzhi area are relatively large. This indicates that the intensity of tectonic activity in the basin gradually weakens from west to east. By calculating the IAT value of the sub-catchments (Figure 12e), it was found that our results were consistent with the earthquake distribution. In the western and central regions, the seismic intensity is larger and more frequent (the IAT levels are also larger). The results of the earthquake distribution and the IAT level all show that the tectonic activity in the western and central regions of the basin is strong, whereas that in the eastern and northeastern regions is weak. This indicates that the geomorphic parameter method is one of the important methods to evaluate the Dabanghe River Basin tectonic activity level. Studies confirm that earthquakes in western Guizhou are mostly related to a series of NE and NW-trending active faults [67]. However, these studies focused on the regional crustal stability on the regional scale, and few related studies were at the basin scale. In recent years, some scholars have used the method of tectonic geomorphic parameters to quantify the intensity of regional tectonic activity, which presents an idea to research the intensity of regional tectonic activity by using the method of geomorphic parameters [19,21,25,26,68,69]. However, in Guizhou, there are few studies using this method to quantify regional tectonic activity. Therefore, this paper quantitatively studies the tectonic activity level by extracting various geomorphological parameters. Comprehensive extraction of multiple parameters will make the results more robust.

Geological and tectonic sketch of the Dabanghe River Basin and its vicinity; Seismic data cited from the China Seismological Network. (a) Location of the study area (located at the southeast edge of the Qinghai–Tibet Plateau); (b) Langdai triangle structural area.
Our research is only a quantitative study of regional geomorphic evolution through mathematical methods, lacking geochronology. The research results related to geochronology are extremely rich [70–75]. How to combine geological dating with geomorphologic parameters in the future is the key to solve the spatial difference between tectonic activity and the time series succession of tectonic activity zone.
5 Conclusions
In this article, ArcGIS 10.2 is used to interpret the DEM of the Dabanghe River Basin. Combined with the digital landform research method, the six geomorphic parameters of HI, AF, BS, SL, and VF in the basin are extracted and analyzed. The spatial variability in the basin’s tectonic landform characteristics is studied, and the IAT of the basin is quantified by the tectonic activity classification method. The following conclusions are drawn:
The geomorphic parameters of the Dabanghe River Basin indicate the geomorphic features of the region well. Owing to the complex geomorphic drivers of the basin, the comprehensive analysis of geomorphic features combined with various geomorphic parameters makes the analysis results more rigorous. The tectonic geomorphology of the Dabanghe River Basin is significantly affected by the fault system, among which the Yadu–Ziyun Fault plays a controlling role in the geomorphology and evolution of the basin.
Controlled by the Yadu–Ziyun Fault, the tectonic activity of the basin gradually weakens from west to east. The tectonic activity is most active in the midstream of the basin, and the geomorphic evolution of the upstream and downstream of the basin is affected by lithology, topography, and hydrodynamic conditions. By calculating the IAT value of the sub-catchments, the results were found to be consistent with the earthquake distribution. In the western and central regions, the seismic intensity is larger and more frequent, and the IAT level is also larger. The results of the earthquake distribution and the IAT value show that the tectonic activity in the western and central parts of the Dabanghe River Basin is strong, while the tectonic activity in the eastern and northeastern regions is weak. This indicates that the geomorphic parameter method is an important method to evaluate the level of regional tectonic activity.
The quantitative study of regional tectonic activity intensity using geomorphic parameters enriches the methods and means of regional crustal stability evaluation and further extends the application of geomorphic parameters in tectonics.
Acknowledgments
This study was financially supported by the Philosophy and Social Science Planning Key Project of Guizhou Province (21GZZB43), the China-UNESCO Program of WH Nomination and Conservation (Tianhe 20200728), and the China Overseas Expertise Introduction Program for Discipline Innovation (D17016), the National Natural Science Foundation of China (Grant: 42061001) and Natural science research funding project of Guizhou Provincial Department of Education (Grant: Qian Jiao KY[2021]036).
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Author contributions: YW wrote the manuscript. XKN provided ideas and supervised. FYL provided method support. LXX provided help in data acquisition. We thank all the authors for their help in field geological work and computer.
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Conflict of interest: The authors declare no conflict of interest.
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Data availability statement: The DEM data used in our manuscript are from https://www.gscloud.cn/search. We used ArcGIS 10.2 software to extract the data and create the associated drawings, and version 10.2 is available for download at https://www.arcgis.com/home/index. The seismic data are from the China Seismological Network (https://www.ceic.ac.cn/); precipitation data is from https://www.esrl.noaa.gov/psd/data/.; the present glaciers data are from http://www.ncdc.ac.cn/portal/; the MATLAB 2016a download link we used is https://www.mathworks.com/.products/matlab.html.; CalHypso tool from literature: https://doi.org/10.1016/.j.cageo.2008.06.006. All data, including statistical data, open source code, free public data, and experimental data, are available by contacting the corresponding author.
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Articles in the same Issue
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- Petrography and mineralogy of the Oligocene flysch in Ionian Zone, Albania: Implications for the evolution of sediment provenance and paleoenvironment
- Biostratigraphy of the Late Campanian–Maastrichtian of the Duwi Basin, Red Sea, Egypt
- Structural deformation and its implication for hydrocarbon accumulation in the Wuxia fault belt, northwestern Junggar basin, China
- Carbonate texture identification using multi-layer perceptron neural network
- Metallogenic model of the Hongqiling Cu–Ni sulfide intrusions, Central Asian Orogenic Belt: Insight from long-period magnetotellurics
- Assessments of recent Global Geopotential Models based on GPS/levelling and gravity data along coastal zones of Egypt
- Accuracy assessment and improvement of SRTM, ASTER, FABDEM, and MERIT DEMs by polynomial and optimization algorithm: A case study (Khuzestan Province, Iran)
- Uncertainty assessment of 3D geological models based on spatial diffusion and merging model
- Evaluation of dynamic behavior of varved clays from the Warsaw ice-dammed lake, Poland
- Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
- Contribution to the building of a weather information service for solar panel cleaning operations at Diass plant (Senegal, Western Sahel)
- Measuring spatiotemporal accessibility to healthcare with multimodal transport modes in the dynamic traffic environment
- Mathematical model for conversion of groundwater flow from confined to unconfined aquifers with power law processes
- NSP variation on SWAT with high-resolution data: A case study
- Reconstruction of paleoglacial equilibrium-line altitudes during the Last Glacial Maximum in the Diancang Massif, Northwest Yunnan Province, China
- A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
- Determining the long-term impact area of coastal thermal discharge based on a harmonic model of sea surface temperature
- Origin of block accumulations based on the near-surface geophysics
- Investigating the limestone quarries as geoheritage sites: Case of Mardin ancient quarry
- Population genetics and pedigree geography of Trionychia japonica in the four mountains of Henan Province and the Taihang Mountains
- Performance audit evaluation of marine development projects based on SPA and BP neural network model
- Study on the Early Cretaceous fluvial-desert sedimentary paleogeography in the Northwest of Ordos Basin
- Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
- Automated identification and mapping of geological folds in cross sections
- Silicate and carbonate mixed shelf formation and its controlling factors, a case study from the Cambrian Canglangpu formation in Sichuan basin, China
- Ground penetrating radar and magnetic gradient distribution approach for subsurface investigation of solution pipes in post-glacial settings
- Research on pore structures of fine-grained carbonate reservoirs and their influence on waterflood development
- Risk assessment of rain-induced debris flow in the lower reaches of Yajiang River based on GIS and CF coupling models
- Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt
- Surface deformation and damage of 2022 (M 6.8) Luding earthquake in China and its tectonic implications
- Differential analysis of landscape patterns of land cover products in tropical marine climate zones – A case study in Malaysia
- DEM-based analysis of tectonic geomorphologic characteristics and tectonic activity intensity of the Dabanghe River Basin in South China Karst
- Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China
- Study on soil quality effect of reconstructing by Pisha sandstone and sand soil
- Understanding the characteristics of loess strata and quaternary climate changes in Luochuan, Shaanxi Province, China, through core analysis
- Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
- Creating digital maps for geotechnical characteristics of soil based on GIS technology and remote sensing
- Changes in the course of constant loading consolidation in soil with modeled granulometric composition contaminated with petroleum substances
- Correlation between the deformation of mineral crystal structures and fault activity: A case study of the Yingxiu-Beichuan fault and the Milin fault
- Cognitive characteristics of the Qiang religious culture and its influencing factors in Southwest China
- Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data
- Interpretation of aeromagnetic and remote sensing data of Auchi and Idah sheets of the Benin-arm Anambra basin: Implication of mineral resources
- Building element recognition with MTL-AINet considering view perspectives
- Characteristics of the present crustal deformation in the Tibetan Plateau and its relationship with strong earthquakes
- Influence of fractures in tight sandstone oil reservoir on hydrocarbon accumulation: A case study of Yanchang Formation in southeastern Ordos Basin
- Nutrient assessment and land reclamation in the Loess hills and Gulch region in the context of gully control
- Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
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- Adopting a new approach for finding missing people using GIS techniques: A case study in Saudi Arabia’s desert area
- Geological earthquake simulations generated by kinematic heterogeneous energy-based method: Self-arrested ruptures and asperity criterion
- Semi-automated classification of layered rock slopes using digital elevation model and geological map
- Geochemical characteristics of arc fractionated I-type granitoids of eastern Tak Batholith, Thailand
- Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
- Analysis of artificial intelligence approaches to predict the wall deflection induced by deep excavation
- Evaluation of the current in situ stress in the middle Permian Maokou Formation in the Longnüsi area of the central Sichuan Basin, China
- Utilizing microresistivity image logs to recognize conglomeratic channel architectural elements of Baikouquan Formation in slope of Mahu Sag
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- Ecological protection on the West Coast of Taiwan Strait under economic zone construction: A case study of land use in Yueqing
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Articles in the same Issue
- Regular Articles
- Diagenesis and evolution of deep tight reservoirs: A case study of the fourth member of Shahejie Formation (cg: 50.4-42 Ma) in Bozhong Sag
- Petrography and mineralogy of the Oligocene flysch in Ionian Zone, Albania: Implications for the evolution of sediment provenance and paleoenvironment
- Biostratigraphy of the Late Campanian–Maastrichtian of the Duwi Basin, Red Sea, Egypt
- Structural deformation and its implication for hydrocarbon accumulation in the Wuxia fault belt, northwestern Junggar basin, China
- Carbonate texture identification using multi-layer perceptron neural network
- Metallogenic model of the Hongqiling Cu–Ni sulfide intrusions, Central Asian Orogenic Belt: Insight from long-period magnetotellurics
- Assessments of recent Global Geopotential Models based on GPS/levelling and gravity data along coastal zones of Egypt
- Accuracy assessment and improvement of SRTM, ASTER, FABDEM, and MERIT DEMs by polynomial and optimization algorithm: A case study (Khuzestan Province, Iran)
- Uncertainty assessment of 3D geological models based on spatial diffusion and merging model
- Evaluation of dynamic behavior of varved clays from the Warsaw ice-dammed lake, Poland
- Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
- Contribution to the building of a weather information service for solar panel cleaning operations at Diass plant (Senegal, Western Sahel)
- Measuring spatiotemporal accessibility to healthcare with multimodal transport modes in the dynamic traffic environment
- Mathematical model for conversion of groundwater flow from confined to unconfined aquifers with power law processes
- NSP variation on SWAT with high-resolution data: A case study
- Reconstruction of paleoglacial equilibrium-line altitudes during the Last Glacial Maximum in the Diancang Massif, Northwest Yunnan Province, China
- A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
- Determining the long-term impact area of coastal thermal discharge based on a harmonic model of sea surface temperature
- Origin of block accumulations based on the near-surface geophysics
- Investigating the limestone quarries as geoheritage sites: Case of Mardin ancient quarry
- Population genetics and pedigree geography of Trionychia japonica in the four mountains of Henan Province and the Taihang Mountains
- Performance audit evaluation of marine development projects based on SPA and BP neural network model
- Study on the Early Cretaceous fluvial-desert sedimentary paleogeography in the Northwest of Ordos Basin
- Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
- Automated identification and mapping of geological folds in cross sections
- Silicate and carbonate mixed shelf formation and its controlling factors, a case study from the Cambrian Canglangpu formation in Sichuan basin, China
- Ground penetrating radar and magnetic gradient distribution approach for subsurface investigation of solution pipes in post-glacial settings
- Research on pore structures of fine-grained carbonate reservoirs and their influence on waterflood development
- Risk assessment of rain-induced debris flow in the lower reaches of Yajiang River based on GIS and CF coupling models
- Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt
- Surface deformation and damage of 2022 (M 6.8) Luding earthquake in China and its tectonic implications
- Differential analysis of landscape patterns of land cover products in tropical marine climate zones – A case study in Malaysia
- DEM-based analysis of tectonic geomorphologic characteristics and tectonic activity intensity of the Dabanghe River Basin in South China Karst
- Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China
- Study on soil quality effect of reconstructing by Pisha sandstone and sand soil
- Understanding the characteristics of loess strata and quaternary climate changes in Luochuan, Shaanxi Province, China, through core analysis
- Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
- Creating digital maps for geotechnical characteristics of soil based on GIS technology and remote sensing
- Changes in the course of constant loading consolidation in soil with modeled granulometric composition contaminated with petroleum substances
- Correlation between the deformation of mineral crystal structures and fault activity: A case study of the Yingxiu-Beichuan fault and the Milin fault
- Cognitive characteristics of the Qiang religious culture and its influencing factors in Southwest China
- Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data
- Interpretation of aeromagnetic and remote sensing data of Auchi and Idah sheets of the Benin-arm Anambra basin: Implication of mineral resources
- Building element recognition with MTL-AINet considering view perspectives
- Characteristics of the present crustal deformation in the Tibetan Plateau and its relationship with strong earthquakes
- Influence of fractures in tight sandstone oil reservoir on hydrocarbon accumulation: A case study of Yanchang Formation in southeastern Ordos Basin
- Nutrient assessment and land reclamation in the Loess hills and Gulch region in the context of gully control
- Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
- Spatial variation of soil nutrients and evaluation of cultivated land quality based on field scale
- Lignin analysis of sediments from around 2,000 to 1,000 years ago (Jiulong River estuary, southeast China)
- Assessing OpenStreetMap roads fitness-for-use for disaster risk assessment in developing countries: The case of Burundi
- Transforming text into knowledge graph: Extracting and structuring information from spatial development plans
- A symmetrical exponential model of soil temperature in temperate steppe regions of China
- A landslide susceptibility assessment method based on auto-encoder improved deep belief network
- Numerical simulation analysis of ecological monitoring of small reservoir dam based on maximum entropy algorithm
- Morphometry of the cold-climate Bory Stobrawskie Dune Field (SW Poland): Evidence for multi-phase Lateglacial aeolian activity within the European Sand Belt
- Adopting a new approach for finding missing people using GIS techniques: A case study in Saudi Arabia’s desert area
- Geological earthquake simulations generated by kinematic heterogeneous energy-based method: Self-arrested ruptures and asperity criterion
- Semi-automated classification of layered rock slopes using digital elevation model and geological map
- Geochemical characteristics of arc fractionated I-type granitoids of eastern Tak Batholith, Thailand
- Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
- Analysis of artificial intelligence approaches to predict the wall deflection induced by deep excavation
- Evaluation of the current in situ stress in the middle Permian Maokou Formation in the Longnüsi area of the central Sichuan Basin, China
- Utilizing microresistivity image logs to recognize conglomeratic channel architectural elements of Baikouquan Formation in slope of Mahu Sag
- Resistivity cutoff of low-resistivity and low-contrast pays in sandstone reservoirs from conventional well logs: A case of Paleogene Enping Formation in A-Oilfield, Pearl River Mouth Basin, South China Sea
- Examining the evacuation routes of the sister village program by using the ant colony optimization algorithm
- Spatial objects classification using machine learning and spatial walk algorithm
- Study on the stabilization mechanism of aeolian sandy soil formation by adding a natural soft rock
- Bump feature detection of the road surface based on the Bi-LSTM
- The origin and evolution of the ore-forming fluids at the Manondo-Choma gold prospect, Kirk range, southern Malawi
- A retrieval model of surface geochemistry composition based on remotely sensed data
- Exploring the spatial dynamics of cultural facilities based on multi-source data: A case study of Nanjing’s art institutions
- Study of pore-throat structure characteristics and fluid mobility of Chang 7 tight sandstone reservoir in Jiyuan area, Ordos Basin
- Study of fracturing fluid re-discharge based on percolation experiments and sampling tests – An example of Fuling shale gas Jiangdong block, China
- Impacts of marine cloud brightening scheme on climatic extremes in the Tibetan Plateau
- Ecological protection on the West Coast of Taiwan Strait under economic zone construction: A case study of land use in Yueqing
- The time-dependent deformation and damage constitutive model of rock based on dynamic disturbance tests
- Evaluation of spatial form of rural ecological landscape and vulnerability of water ecological environment based on analytic hierarchy process
- Fingerprint of magma mixture in the leucogranites: Spectroscopic and petrochemical approach, Kalebalta-Central Anatolia, Türkiye
- Principles of self-calibration and visual effects for digital camera distortion
- UAV-based doline mapping in Brazilian karst: A cave heritage protection reconnaissance
- Evaluation and low carbon ecological urban–rural planning and construction based on energy planning mechanism
- Modified non-local means: A novel denoising approach to process gravity field data
- A novel travel route planning method based on an ant colony optimization algorithm
- Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
- Regional tectonic uplift indicated by geomorphological parameters in the Bahe River Basin, central China
- Computer information technology-based green excavation of tunnels in complex strata and technical decision of deformation control
- Spatial evolution of coastal environmental enterprises: An exploration of driving factors in Jiangsu Province
- A comparative assessment and geospatial simulation of three hydrological models in urban basins
- Aquaculture industry under the blue transformation in Jiangsu, China: Structure evolution and spatial agglomeration
- Quantitative and qualitative interpretation of community partitions by map overlaying and calculating the distribution of related geographical features
- Numerical investigation of gravity-grouted soil-nail pullout capacity in sand
- Analysis of heavy pollution weather in Shenyang City and numerical simulation of main pollutants
- Road cut slope stability analysis for static and dynamic (pseudo-static analysis) loading conditions
- Forest biomass assessment combining field inventorying and remote sensing data
- Late Jurassic Haobugao granites from the southern Great Xing’an Range, NE China: Implications for postcollision extension of the Mongol–Okhotsk Ocean
- Petrogenesis of the Sukadana Basalt based on petrology and whole rock geochemistry, Lampung, Indonesia: Geodynamic significances
- Numerical study on the group wall effect of nodular diaphragm wall foundation in high-rise buildings
- Water resources utilization and tourism environment assessment based on water footprint
- Geochemical evaluation of the carbonaceous shale associated with the Permian Mikambeni Formation of the Tuli Basin for potential gas generation, South Africa
- Detection and characterization of lineaments using gravity data in the south-west Cameroon zone: Hydrogeological implications
- Study on spatial pattern of tourism landscape resources in county cities of Yangtze River Economic Belt
- The effect of weathering on drillability of dolomites
- Noise masking of near-surface scattering (heterogeneities) on subsurface seismic reflectivity
- Query optimization-oriented lateral expansion method of distributed geological borehole database
- Petrogenesis of the Morobe Granodiorite and their shoshonitic mafic microgranular enclaves in Maramuni arc, Papua New Guinea
- Environmental health risk assessment of urban water sources based on fuzzy set theory
- Spatial distribution of urban basic education resources in Shanghai: Accessibility and supply-demand matching evaluation
- Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area
- Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
- Study on the evaluation system and risk factor traceability of receiving water body
- Predicting copper-polymetallic deposits in Kalatag using the weight of evidence model and novel data sources
- Temporal dynamics of green urban areas in Romania. A comparison between spatial and statistical data
- Passenger flow forecast of tourist attraction based on MACBL in LBS big data environment
- Varying particle size selectivity of soil erosion along a cultivated catena
- Relationship between annual soil erosion and surface runoff in Wadi Hanifa sub-basins
- Influence of nappe structure on the Carboniferous volcanic reservoir in the middle of the Hongche Fault Zone, Junggar Basin, China
- Dynamic analysis of MSE wall subjected to surface vibration loading
- Pre-collisional architecture of the European distal margin: Inferences from the high-pressure continental units of central Corsica (France)
- The interrelation of natural diversity with tourism in Kosovo
- Assessment of geosites as a basis for geotourism development: A case study of the Toplica District, Serbia
- IG-YOLOv5-based underwater biological recognition and detection for marine protection
- Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye
- Review Articles
- The actual state of the geodetic and cartographic resources and legislation in Poland
- Evaluation studies of the new mining projects
- Comparison and significance of grain size parameters of the Menyuan loess calculated using different methods
- Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods
- Rainfall-induced transportation embankment failure: A review
- Rapid Communication
- Branch fault discovered in Tangshan fault zone on the Kaiping-Guye boundary, North China
- Technical Note
- Introducing an intelligent multi-level retrieval method for mineral resource potential evaluation result data
- Erratum
- Erratum to “Forest cover assessment using remote-sensing techniques in Crete Island, Greece”
- Addendum
- The relationship between heat flow and seismicity in global tectonically active zones
- Commentary
- Improved entropy weight methods and their comparisons in evaluating the high-quality development of Qinghai, China
- Special Issue: Geoethics 2022 - Part II
- Loess and geotourism potential of the Braničevo District (NE Serbia): From overexploitation to paleoclimate interpretation