Abstract
The elemental geochemical characteristics of mudstones/shales are good tracers for indicating the evolution of tectonics, paleoenvironment, and paleoclimate. Based on the continuous sampling of drilling cores from the Middle Jurassic Dameigou and Shimengou Formations in the northern Qaidam Basin, the major, trace, and rare earth elements of the 31 mudstones and shales were analyzed. The information on the evolution of tectonics, provenance, and paleoclimate during Middle Jurassic was also recovered. The results show that: (1) A couple of elements consisting of Sc, Y, V, Cr, Co, Ni, Cu, Zn, Th, and U are relatively enriched, indicating that the contents of siderophile and chalcophile elements are significantly high in the Middle Jurassic samples; (2) Changes in the chemical index of alteration, Ga/Rb, and K2O/Al2O3 ratios in the mudstone/shale samples suggest that the paleoclimate was changed from warm and humid in the early stage to cold and dry in the middle stage and to hot and arid in the late stage; (3) The Middle Jurassic provenance of the northern Qaidam Basin was predicted from upper crust and felsic rocks to the mixed felsic rocks and basic rocks; (4) The Middle Jurassic tectonic background was changed from passive continental margin to active continental margin and oceanic island arc. The paleoclimatic and paleogeographic evolution of northern Qaidam Basin were closely related to the surrounding paleo-oceanic and ancient plate activities. In the early stage of the Middle Jurassic, the extensional activity in the passive continental margin and the water vapor input was caused by the Tethys Ocean, resulting in a warm and humid paleoclimate. In the late stage of the Middle Jurassic, the tectonic background of the study area tended to be an oceanic island arc caused by compressive tectonic, which blocked the monsoon input and led to a hot and arid paleoclimate. The establishment of multiple geochemical profiles can provide a scientific basis for the climate changes in greenhouse–icehouses and source–sink systems of the Middle Jurassic in northwestern China.
1 Introduction
The Middle Jurassic shale in the northern Qaidam Basin is characterized by wide distribution, large thickness, and good preservation, which is not only an important marker for strata correlation but also an important exploration object for shale gas and oil shale [1]. In response to the current situation of shale gas exploration and development in this region, the Oil and Gas Resources Investigation Center of China Geological Survey has implemented the “Investigation of Geological Conditions for Shale Gas Formation in the Qaidam Basin” and the Chaiye-1 (CY-1) well was drilled in the Yuqia coalfield, which is the first shale gas parameter well in the northern Qaidam Basin for the Jurassic terrestrial basin. The exploration results show that three sets of gas-bearing mudstones and shales with a cumulative thickness of 141 m are found in the CY-1 well, and the thickest section is 58.12 m. In addition, the Middle Jurassic shales in the Qaidam Basin are characterized by relatively high gas content, strong compressibility, good pore connectivity, and abundant organic matter types [2,3]. Therefore, it is believed that the northern Qaidam Basin has a good prospect for the shale gas and oil shale development.
The elemental geochemical information of mudstones/shales have been mostly used to analyze the weathering denudation, provenance properties, and tectonic background of source areas as well as the paleoclimatic, paleogeographic, and tectonic features [4,5,6]. During sedimentary processes, clastic rocks primarily have undergone weathering, transportation, deposition, and diagenesis. Therefore, unstable geochemical elements are relatively deficient, whereas stable elements are considerably enriched in sedimentary rocks [7]. The elements in mudstones and shales can be classified as major elements, trace elements, and rare earth elements according to their content ratios, which are generally determined by X-ray fluorescence (XRF) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The major elements and their combinations can be divided into several quantitative parameters including chemical index of alteration (CIA), chemical index of weathering, and plagioclase alteration index. Based on the comprehensive analysis of these three parameters, previous investigations conclude that CIA is frequently used because it is less influenced by other factors to distinguish weathering index and paleoclimate in the source areas [8,9]. The variation in CIA values is usually used to analyze the degree of weathering and tectonic processes in the source areas during the sedimentary period, which can further reveal the intrinsic factors of the sedimentary process controlled by climatic and tectonic evolution [4,5]. The distribution characteristics of trace elements and rare earth elements can not only be used to study the depositional environment, provenance, and tectonic background but can also be used to recover the paleoenvironmental and tectonic evolution processes and determine the provenance properties during the depositional period [6,10,11]. Because CIA values are primarily influenced by different ranges of latitude and surface temperatures, the variation pattern in CIA values can be analyzed for the sedimentary weathering conditions and their paleoclimatic environments. The triangle diagrams and elemental distribution diagrams of CIA values are generally calculated from the various rock-source areas, which can infer the relationships between paleoclimate and sedimentary conditions [9]. Trace elements in mudstones/shales are not easily affected by water bodies and metamorphism in a series of processes including weathering, deposition, transportation, and post-diagenesis, and hence the combination of trace elements and their ratios can be used as good indicators of provenance properties and tectonic background [6,12].
Although a great resource potential is found within the Middle Jurassic strata, there is no substantial breakthrough in the exploration and development of shale gas in the northern Qaidam Basin, which would be attributed to a lack of full research on the tectonic background and paleogeographic pattern based on mudstones’ and shales’ elemental geochemistry. This study investigates the elemental geochemical characteristics of the Middle Jurassic mudstones/shales in the northern Qaidam Basin based on a series of XRF and ICP-MS experiments. According to the distribution of major, trace, and rare earth elements, the paleoclimatic characteristics, tectonic background, and provenance properties in the northern Qaidam Basin were analyzed. This study not only provides a theoretical basis for tectonic evolution and gas exploration of the Jurassic basins but also furnishes a scientific basis for analyzing the climate change in greenhouse–icehouses and the source–sink systems in the northern Qaidam Basin.
2 Geological settings
The Qaidam Basin is situated in the northeastern Tibetan Plateau and is one of the three major inland basins in China. This basin is rich in coal, oil, gas, potassium, and graphite resources, and has a great exploration potential in those resources. The northern Qaidam Basin is rich in unconventional natural gas resources of the Jurassic coal measures, and is a strategic replacement area for coalbed methane and shale gas exploration and development [13]. The northern Qaidam Basin is surrounded by the Altun Mountains to the west and the Qilian Mountains to the north, accompanied with the Saishiteng Mountain, Lyuliang Mountain, Xitie Mountain, Olongbuluke Mountain, Aimunke Mountain, and Maoniu Mountain from west to east (Figure 1).

Tectonic outline and distribution of sampling sites in the northern Qaidam Basin.
The samples of this study came from the YQ-1 drilling cores, and this well was drilled in the Yuqia coalfield of the northern Qaidam Basin for the Jurassic shale gas exploration (Figure 2). The depositional systems including alluvial fan delta–lacustrine facies are primarily developed during the Middle Jurassic period in the northern Qaidam Basin [2,14]. Specifically, the Dameigou Formation, lower Shimengou Formation, and upper Shimengou Formation are dominated by the deltaic plain, shore-shallow lake, and deep-semideep lake, respectively (Figure 2). In terms of lithology distribution, the Dameigou Formation is dominated by non-marine coarse-grained to fine-grained silicious clastic rocks, with thick coal seams interbedded in the lowest section, whereas the Shimengou Formation consists of gray-white medium and coarse sandstones in the lower section and brown thick lacustrine shales in the upper section (Figure 2). It should be noted that a section of brown oil shale is stably distributed at the top of the upper Shimengou Formation, which can be used as a marker for the regional strata correlation in the northern Qaidam Basin [1]. A large-scale migration of the Middle Jurassic sedimentary centers from west to east and from south to north is found in the northern Qaidam Basin, forming the Yuqia and Dameigou sedimentary centers [15], with overlying thinning to the Lyucao Mountain, Lyuliang Mountain, and Aimunike Mountain. The rock sources come from the basement uplift on the north and south sides and the Altun Mountains on the northwest side [2,14].

Comprehensive histogram of YQ-1 well showing lithology, sampling, and sedimentary environment in the Yuqia coalfield, northern Qaidam Basin (14 samples from upper Shimengou Formation: YQ-1-1 to YQ-1-27; 10 samples from lower Shimengou Formation: YQ-1-30 to YQ-1-47; 7 samples from Dameigou Formation: YQ-1-48 to YQ-1-54).
3 Samples and methodology
3.1 Sample collection
As the elemental geochemical distribution in the mudstones and shales are more stable and advantageous for analyzing sources identification and paleoclimatical recovery [16,17], a total of 31 mudstone/shale samples have been taken from the YQ-1 well in the northern Qaidam Basin in this study. Specifically, 14 samples were collected from the upper Shimengou Formation, 10 samples from the lower Shimengou Formation, and 7 samples from the Dameigou Formation (Figure 2). After the macroscopic description in field, the collected samples were wrapped with preservative film prior to laboratory tests and analyses.
3.2 Experimental methods
3.2.1 Element geochemistry tests
The major elements including SiO2, Al2O3, Fe2O3, MgO, CaO, Na2O, K2O, MnO, TiO2, and P2O5 were tested by an XRF spectrometer at Beijing Research Institute of Uranium Geology. The shale powders and lithium metaborate flux were mixed in a ratio of 1:10 and fused at 1,050°C in a Pt–Au crucible. Then, the cooled mixed melt was put on a glass disk for XRF analysis. According to the Chinese National Standard GB/T 14506.30-2010, the alkaline fusion glass sheet method was used for testing the trace and rare earth elements of the mudstones and shales. Each sample was placed in a high temperature furnace, and relevant organic matters were removed with analysis errors lower than 1% after adding a series of chemical reagents. The ICP-MS was used to determine the trace and rare earth elements of the samples, and the particle size of each sample should be crushed to lower than 74 μm. The 25 mg sample was weighed and sealed in the container with the weight accuracy of 0.01 mg. Then, 1 mL of HF and 0.5 mL of HNO3 were added, of which 50 mg liquids were heated to 185 ± 5°C within 24 h. After cooling and evaporating until nearly dry with adding 0.5 mL of HNO3, it was then heated at 130°C for 3 h for ICP-MS testing. The testing process mainly included the standard mixed solution adjustment, calibration data collection, blank solution analysis, and interference coefficient measurement.
3.2.2 CIA
The chemical weathering corresponds to the decrease in feldspars in rocks (kalium, sodium, and calcium elements) and the increase in clay minerals (iron and aluminum elements). The greater the CIA value, the stronger the chemical weathering of the sediments [18,19,20,21,22]. The CIA value can be calculated as follows: CIA = molar (Al2O3/[Al2O3 + Na2O + CaO* + K2O]) × 100, where mole number in each oxide is necessary, and CaO* refers to CaO in silicate minerals. As carbonate and phosphate minerals also contain CaO, an indirect method to calculate CaO* was proposed by Mclennan [23]. CaO* = molar (CaO–P2O5 × 10/3) when Na2O content is higher than that of CaO*; otherwise, CaO* = molar Na2O. The sample with higher CIA value likely means that the weathering process is losing a large amount of Ca, Na, and K compared to the stable Al and Ti, revealing a warm and humid paleoclimate. In addition, the lower CIA value reflects a cold and dry climatic condition in the regions [24]. Generally, the weathering degree can be divided into weak, moderate, and strong stages, corresponding to CIA values with 50–60%, 60–80%, and 80–100%, respectively [24].
4 Results
4.1 Major element characteristics
The major element results of the Middle Jurassic mudstones and shales in the northern Qaidam Basin are shown in Table 1. Generally, the SiO2 content of all the samples is the highest, followed by Al2O3 and Fe2O3, whereas the K2O, MgO, CaO, TiO2, Na2O, P2O5, and MnO contents are relatively low (Table 1 and Figure 3). Specifically, the SiO2, Al2O3, and Fe2O3 contents in the upper Shimengou shales range from 19.27 to 53.64% (average 42.67%), 6.14 to 23.03% (average 17.22%), and 2.79 to 18.36% (average 8.76%), respectively. In terms of the lower Shimengou shales, the SiO2, Al2O3, and Fe2O3 contents range from 47.92 to 68.19% (average 59.74%), 16.97 to 26.13% (average 23.10%), and 1.38 to 5.45% (average 2.07%), respectively. The SiO2, Al2O3, and Fe2O3 contents of the Dameigou shales range from 46.46 to 60.34% (average 56.29%), 20.87 to 26.92% (average 24.09%), and 1.01 to 4.32% (average 2.08%), respectively. Thus, the upper Shimengou shales have the lowest SiO2 and Al2O3 contents, with the highest Fe2O3 content (Table 1; Figure 3). In addition, the SiO2 and Al2O3 contents and CIA values first decrease and then increase from the Dameigou Formation to the upper Shimengou Formation, with the minimum value appearing at the top of the upper Shimengou Formation (Figure 3). The Na2O content first increases and then decreases from the bottom to the top with the maximum value appearing in the middle of the upper Shimengou Formation. The Fe2O3, MgO, CaO, MnO, and P2O5 contents are relatively low in the Dameigou Formation and the lower Shimengou Formation, whereas a relatively high value appears in the upper Shimengou Formation. The contents of K2O and TiO2 are higher in the Dameigou Formation and lower Shimengou Formation than those in the upper Shimengou Formation (Figure 3). Therefore, there are great variations in the major elements in the Middle Jurassic shales, which indicate that the paleoclimate and paleoenvironment also should be significantly changed in these strata in the northern Qaidam Basin.
Major element compositions and CIA values of the Middle Jurassic mudstones/shales in the Yuqia coalfield, northern Qaidam Basin
Unit | Sample number | Lithology | SiO2 (wt%) | Al2O3 (wt%) | Fe2O3 (wt%) | MgO (wt%) | CaO (wt%) | Na2O (wt%) | K2O (wt%) | MnO (wt%) | TiO2 (wt%) | P2O5 (wt%) | LOI (wt%) | CIA (%) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Upper Shimengou Formation | YQ-1-1 | Gray-black mudstone | 31.20 | 14.17 | 7.68 | 2.96 | 14.52 | 0.26 | 1.42 | 0.159 | 0.484 | 0.169 | 26.44 | 85.50 |
YQ-1-3 | Brown oil shale | 42.83 | 17.82 | 7.88 | 3.11 | 4.76 | 0.37 | 1.83 | 0.140 | 0.568 | 0.150 | 20.06 | 84.79 | |
YQ-1-5 | Brown oil shale | 19.27 | 6.14 | 2.91 | 4.82 | 25.27 | 0.30 | 0.82 | 0.153 | 0.250 | 0.377 | 39.67 | 76.61 | |
YQ-1-7 | Brown oil shale | 30.61 | 6.42 | 2.79 | 1.85 | 26.63 | 0.36 | 0.91 | 0.162 | 0.255 | 0.263 | 29.74 | 74.67 | |
YQ-1-9 | Gray-black mudstone | 49.00 | 17.09 | 10.77 | 1.71 | 0.73 | 0.51 | 2.22 | 0.630 | 0.635 | 0.176 | 16.46 | 80.76 | |
YQ-1-11 | Gray-black mudstone | 51.77 | 17.39 | 6.87 | 1.81 | 0.75 | 0.58 | 2.24 | 0.404 | 0.636 | 0.208 | 17.35 | 80.37 | |
YQ-1-13 | Gray-black mudstone | 53.49 | 18.74 | 5.22 | 1.88 | 0.48 | 0.58 | 2.43 | 0.131 | 0.672 | 0.092 | 16.25 | 81.55 | |
YQ-1-15 | Gray-black mudstone | 53.64 | 20.33 | 5.49 | 1.91 | 0.40 | 0.49 | 2.71 | 0.122 | 0.749 | 0.122 | 13.98 | 82.94 | |
YQ-1-17 | Gray-black mudstone | 47.50 | 19.96 | 10.22 | 1.55 | 0.69 | 0.37 | 2.12 | 0.524 | 0.711 | 0.406 | 15.89 | 86.20 | |
YQ-1-18 | Gray-black mudstone | 36.77 | 15.79 | 18.36 | 1.83 | 2.73 | 0.30 | 1.77 | 0.940 | 0.569 | 1.630 | 19.29 | 84.52 | |
YQ-1-20 | Gray-black mudstone | 49.65 | 22.36 | 7.34 | 1.66 | 0.44 | 0.33 | 2.24 | 0.286 | 0.761 | 0.175 | 14.72 | 86.98 | |
YQ-1-22 | Gray-black mudstone | 45.65 | 21.11 | 11.67 | 1.39 | 0.65 | 0.23 | 2.29 | 0.363 | 0.725 | 0.194 | 15.65 | 86.71 | |
YQ-1-24 | Gray-black mudstone | 46.32 | 23.03 | 9.48 | 1.22 | 0.88 | 0.23 | 2.22 | 0.271 | 0.797 | 0.486 | 14.97 | 87.92 | |
YQ-1-27 | Gray-black mudstone | 39.63 | 20.67 | 15.93 | 1.03 | 1.00 | 0.19 | 1.94 | 0.269 | 0.660 | 0.215 | 18.42 | 88.34 | |
Lower Shimengou Formation | YQ-1-30 | Gray-black mudstone | 58.53 | 25.19 | 2.14 | 0.75 | 0.19 | 0.16 | 2.50 | 0.014 | 1.040 | 0.045 | 9.36 | 88.71 |
YQ-1-32 | Gray-black mudstone | 47.92 | 26.13 | 1.71 | 0.80 | 0.23 | 0.20 | 2.45 | 0.008 | 0.786 | 0.086 | 19.67 | 89.05 | |
YQ-1-33 | Carbonaceous mudstone | 58.64 | 25.16 | 1.91 | 0.85 | 0.17 | 0.19 | 2.82 | 0.010 | 0.950 | 0.051 | 9.12 | 87.62 | |
YQ-1-34 | Carbonaceous mudstone | 68.19 | 16.97 | 1.92 | 0.44 | 0.15 | 0.16 | 2.34 | 0.005 | 0.946 | 0.036 | 8.72 | 85.04 | |
YQ-1-35 | Gray-black mudstone | 57.69 | 23.67 | 1.57 | 0.73 | 0.20 | 0.19 | 2.96 | 0.007 | 0.836 | 0.064 | 11.98 | 86.35 | |
YQ-1-36 | Carbonaceous mudstone | 62.33 | 23.22 | 1.40 | 0.61 | 0.15 | 0.19 | 2.75 | 0.007 | 0.947 | 0.056 | 8.21 | 87.13 | |
YQ-1-39 | Gray-black mudstone | 61.55 | 23.46 | 1.39 | 0.70 | 0.15 | 0.18 | 2.84 | 0.006 | 1.010 | 0.056 | 8.5 | 86.96 | |
YQ-1-41 | Gray-black mudstone | 60.14 | 23.82 | 1.79 | 0.57 | 0.16 | 0.15 | 2.63 | 0.016 | 0.961 | 0.070 | 9.54 | 88.07 | |
YQ-1-44 | Gray-black mudstone | 61.52 | 18.96 | 5.45 | 1.25 | 0.43 | 0.16 | 2.58 | 0.039 | 0.896 | 0.070 | 8.51 | 85.06 | |
YQ-1-47 | Gray-black mudstone | 60.87 | 24.45 | 1.38 | 0.64 | 0.13 | 0.18 | 2.80 | 0.008 | 0.931 | 0.040 | 8.48 | 87.55 | |
Dameigou Formation | YQ-1-48 | Carbonaceous mudstone | 46.46 | 26.90 | 1.57 | 0.64 | 0.19 | 0.20 | 2.52 | 0.007 | 0.799 | 0.072 | 20.62 | 89.26 |
YQ-1-49 | Carbonaceous mudstone | 58.64 | 22.27 | 4.32 | 0.60 | 0.24 | 0.14 | 2.55 | 0.093 | 0.936 | 0.115 | 10.07 | 87.55 | |
YQ-1-50 | Dark grey mudstone | 53.81 | 20.87 | 4.21 | 0.48 | 0.15 | 0.14 | 2.19 | 0.033 | 0.832 | 0.073 | 17.15 | 88.53 | |
YQ-1-51 | Carbonaceous mudstone | 56.99 | 26.92 | 1.24 | 0.59 | 0.16 | 0.15 | 2.28 | 0.006 | 0.894 | 0.066 | 10.66 | 90.44 | |
YQ-1-52 | Carbonaceous mudstone | 57.92 | 26.19 | 1.17 | 0.56 | 0.14 | 0.14 | 2.22 | 0.006 | 0.886 | 0.041 | 10.62 | 90.33 | |
YQ-1-53 | Dark grey mudstone | 59.90 | 22.54 | 1.01 | 0.57 | 0.12 | 0.14 | 2.63 | 0.004 | 0.952 | 0.103 | 12 | 88.05 | |
YQ-1-54 | Dark grey mudstone | 60.34 | 22.97 | 1.06 | 0.55 | 0.11 | 0.13 | 2.58 | 0.005 | 0.934 | 0.100 | 11.14 | 88.51 |

The vertical distribution of major elements of the Middle Jurassic shales in the drilling YQ-1 well, Yuqia coalfield, northern Qaidam Basin (SMG-U: upper Shimengou Formation; SMG-L: lower Shimengou Formation; DMG: Dameigou Formation. (a) SiO2; (b) Al2O3; (c) Fe2O3; (d) MgO; (e) CaO; (f) Na2O; (g) K2O; (h) MnO; (i) TiO2; (j) P2O5; (k) CIA).
4.2 Trace element characteristics
Each trace element and their combinations can be good indicators for determining provenance properties [12,25]. In order to analyze the enrichment characteristics of trace elements of the Middle Jurassic mudstones and shales in the northern Qaidam Basin, the distributions of most trace elements and their implications are shown aided by the standard cobweb drawings (Figure 4). The variations in the trace elements in the northern Qaidam Basin are basically similar between the Damengou and Shimengou shales. However, it should be noted that the elements consisting of Sc, Y, V, Cr, Co, Ni, Cu, Zn, and Ba are relatively enriched in the Dameigou Formation, whereas other elements including Th, U, Nb, Ta, Zr, and Hf are relatively deficient in the Dameigou Formation (Table 2). Compared with the average trace element contents in the upper crust, several elements including Sc, Y, V, Cr, Co, Ni, Cu, Zn, Th, and U are relatively enriched, while Zn, Nb, Ta, Zr, and Hf elements are relatively deficient in the Middle Jurassic strata. These indicate that siderophile and chalcophile elements were significantly enriched in the study area during the Middle Jurassic period, while lithophile elements were relatively deficient.

Standardized cobweb diagram of trace elements in the Dameigou and Shimengou shales (UC, upper crust-normalized value of each trace element).
Trace element compositions of the Middle Jurassic mudstones and shales from the Yuqia coalfield, northern Qaidam Basin
Unit | Sample number | Sc | Y | Li | Be | V | Cr | Co | Ni | Cu | Zn | Ga | Rb | Sr | Cs | Ba | Th | U | Nb | Ta | Zr | Hf |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Upper Shimengou Formation | Y-1 | 11.9 | 27.1 | 30.2 | 1.75 | 76 | 58.3 | 16.6 | 56.6 | 55.2 | 58.4 | 16.5 | 79.1 | 454 | 5.29 | 492 | 12.9 | 4.12 | 8.3 | 0.659 | 78.8 | 2.44 |
Y-3 | 17.1 | 26.3 | 34.7 | 2.87 | 119 | 83.7 | 17.6 | 46.6 | 41.3 | 104 | 23.1 | 112 | 222 | 8.78 | 362 | 15.2 | 5.03 | 11.7 | 0.846 | 106 | 3.41 | |
Y-5 | 7.2 | 17.2 | 13 | 0.822 | 80.5 | 57.1 | 11.3 | 28.7 | 65 | 66.6 | 8.94 | 50.4 | 688 | 3.64 | 519 | 8.03 | 5.74 | 4.55 | 0.322 | 42.1 | 1.27 | |
Y-7 | 9.32 | 21.1 | 12.6 | 1.19 | 72 | 58 | 11.9 | 37.3 | 29.6 | 51.2 | 8.91 | 57.4 | 454 | 3.62 | 509 | 6.76 | 1.85 | 4.96 | 0.369 | 42.7 | 1.32 | |
Y-9 | 19.6 | 38.9 | 45.9 | 3.94 | 129 | 126 | 32.7 | 98.5 | 57.4 | 113 | 24.3 | 148 | 115 | 11.9 | 516 | 18.7 | 4.3 | 13.7 | 1.01 | 116 | 3.5 | |
Y-11 | 19.6 | 39.2 | 45.6 | 3.34 | 147 | 109 | 20.2 | 63.4 | 61.2 | 113 | 24.2 | 141 | 116 | 12.1 | 505 | 18.4 | 4.41 | 13.5 | 0.941 | 109 | 3.42 | |
Y-13 | 21.7 | 40.7 | 51.1 | 3.1 | 134 | 119 | 28.1 | 75.5 | 68 | 137 | 25.6 | 149 | 118 | 13.9 | 522 | 21.4 | 5.74 | 14.5 | 1.03 | 124 | 3.66 | |
Y-15 | 22.1 | 43.7 | 49.5 | 3.68 | 165 | 128 | 26.7 | 84.4 | 79 | 141 | 26.4 | 139 | 120 | 12.8 | 495 | 21.1 | 5.92 | 14.4 | 1.01 | 129 | 4.01 | |
Y-17 | 23.2 | 39.5 | 49.3 | 3.63 | 168 | 140 | 29.3 | 70.2 | 67.9 | 132 | 26.7 | 132 | 240 | 11.7 | 882 | 22.5 | 5.48 | 13.8 | 0.983 | 118 | 3.63 | |
Y-18 | 17.7 | 37.8 | 41.6 | 3.1 | 163 | 104 | 21.5 | 48.2 | 44.1 | 115 | 21.7 | 118 | 108 | 10.8 | 496 | 18 | 4.17 | 12.1 | 0.849 | 99.2 | 3.06 | |
Y-20 | 25 | 42.7 | 56.7 | 3.33 | 178 | 147 | 33.5 | 79.9 | 73 | 142 | 28.7 | 140 | 132 | 12.8 | 536 | 25.6 | 7.11 | 15.1 | 1.04 | 132 | 4.2 | |
Y-22 | 24.2 | 44 | 55.2 | 3.98 | 135 | 131 | 30.2 | 59.5 | 53.7 | 140 | 31.9 | 158 | 105 | 15.1 | 537 | 26 | 5.41 | 15.8 | 1.18 | 154 | 4.69 | |
Y-24 | 24.1 | 44.7 | 60.1 | 3.48 | 145 | 108 | 27.1 | 53.7 | 45.3 | 137 | 29.2 | 141 | 254 | 14.9 | 610 | 27.4 | 5.21 | 16.4 | 1.22 | 153 | 4.69 | |
Y-27 | 24.3 | 38.5 | 52.5 | 3.57 | 161 | 113 | 23.7 | 45.9 | 53.1 | 118 | 29.1 | 133 | 78.3 | 14.5 | 442 | 23.5 | 4.84 | 13.5 | 1.01 | 133 | 4.11 | |
Lower Shimengou Formation | Y-30 | 18.2 | 33.2 | 57.4 | 3.28 | 79.4 | 98.2 | 21.4 | 47.6 | 33.6 | 115 | 34.1 | 168 | 63.6 | 18.5 | 428 | 27.2 | 5.97 | 25.3 | 1.89 | 196 | 5.95 |
Y-32 | 27.6 | 59.6 | 71.4 | 4.47 | 183 | 145 | 8.39 | 31.4 | 75.3 | 87.3 | 39 | 181 | 133 | 26.3 | 394 | 30.9 | 9.33 | 18.3 | 1.43 | 200 | 5.93 | |
Y-33 | 21.1 | 40.5 | 68.8 | 2.89 | 118 | 95.7 | 17.3 | 50 | 35.6 | 115 | 33.4 | 207 | 84.3 | 23.5 | 466 | 24.9 | 5.27 | 22.4 | 1.61 | 195 | 6.09 | |
Y-34 | 17.5 | 28.6 | 37.7 | 2.37 | 77.9 | 76.6 | 32.3 | 36.4 | 26.7 | 80.5 | 22 | 175 | 71.9 | 19.6 | 707 | 19.5 | 4.84 | 25.2 | 1.81 | 345 | 10.1 | |
Y-35 | 15.9 | 46.8 | 55.4 | 3.85 | 97.8 | 102 | 18.8 | 37.7 | 45.6 | 173 | 31.8 | 184 | 90.3 | 20 | 433 | 26.6 | 7.11 | 18.6 | 1.52 | 218 | 6.81 | |
Y-36 | 19.4 | 40 | 58.3 | 2.85 | 93.9 | 103 | 30.2 | 55.8 | 46.5 | 123 | 33.5 | 187 | 100 | 21.8 | 491 | 26.8 | 8.14 | 24.4 | 1.81 | 238 | 7.26 | |
Y-39 | 21.8 | 41.8 | 57.8 | 3.65 | 88.1 | 97.2 | 9.49 | 27.7 | 37.8 | 127 | 32.4 | 178 | 80.4 | 19.4 | 488 | 26.3 | 5.85 | 25.7 | 1.83 | 247 | 7.31 | |
Y-41 | 16.2 | 44.2 | 48.7 | 3.69 | 93 | 74.1 | 32 | 48.3 | 40.5 | 161 | 32.4 | 167 | 77 | 14.8 | 453 | 29.1 | 7.79 | 25.3 | 2 | 243 | 7.12 | |
Y-44 | 15.5 | 28.4 | 36.6 | 2.7 | 72 | 66.9 | 18.9 | 34.9 | 28.1 | 94.2 | 21.4 | 132 | 57.4 | 10.8 | 394 | 17.3 | 4.63 | 18.2 | 1.44 | 177 | 5.32 | |
Y-47 | 17.7 | 27.9 | 52 | 2.69 | 107 | 75.8 | 5.7 | 25.3 | 29.5 | 86.3 | 30 | 184 | 66 | 24.9 | 438 | 23.6 | 4.89 | 21.9 | 1.68 | 183 | 5.75 | |
Dameigou Formation | Y-48 | 17.7 | 34.8 | 55.8 | 5.53 | 75.1 | 82 | 13.3 | 39.3 | 38.7 | 78.8 | 35.5 | 147 | 78.5 | 28.3 | 287 | 21.3 | 5.23 | 17.9 | 1.3 | 173 | 5.42 |
Y-49 | 15 | 38.1 | 45.2 | 2.73 | 88.5 | 81.3 | 11 | 21.1 | 36.2 | 129 | 27.5 | 147 | 137 | 12.6 | 464 | 23.3 | 5.18 | 22.8 | 1.65 | 229 | 6.67 | |
Y-50 | 13.6 | 33.5 | 38.8 | 2.45 | 92.2 | 72.8 | 14.8 | 43.5 | 27.1 | 113 | 25.7 | 121 | 91.1 | 13.1 | 369 | 21.5 | 5.42 | 18.8 | 1.48 | 217 | 6.06 | |
Y-51 | 15.5 | 25.1 | 94.7 | 2.89 | 105 | 71.8 | 12 | 35.7 | 48 | 136 | 35.5 | 168 | 126 | 28.5 | 404 | 18.5 | 4.19 | 24.7 | 2.05 | 186 | 5.68 | |
Y-52 | 14.6 | 22.8 | 65.3 | 1.92 | 78.2 | 56.8 | 5.4 | 20.4 | 31.1 | 50 | 31.7 | 164 | 77.8 | 29.5 | 332 | 15.7 | 3.76 | 18.9 | 1.52 | 155 | 4.79 | |
Y-53 | 20.3 | 37.3 | 45.9 | 4.1 | 124 | 104 | 19.2 | 48.5 | 42.6 | 192 | 30.9 | 161 | 180 | 18.9 | 498 | 24.4 | 6.11 | 23.4 | 1.79 | 223 | 6.56 | |
Y-54 | 17.9 | 32.8 | 45.6 | 3.45 | 113 | 99.7 | 5.7 | 23.5 | 57.6 | 128 | 28.7 | 152 | 160 | 18.9 | 476 | 21.8 | 5.38 | 21.4 | 1.69 | 194 | 6.04 |
Sample number YQ-1-1 is abbreviated as Y-1; The units of these trace elements are µg/g.
4.3 Rare earth element characteristics
Rare earth elements mainly existed in detrital grains, which are more stable during the sedimentary process of mudstones/shales. They are not easily influenced by external factors, and can effectively reflect the provenance characteristics in the study area [26,27]. Therefore, it is possible to use rare earth elements to quantitatively analyze the physical properties of the sediments [28] and the changes in paleoclimate during the sedimentary period [29]. The rare earth elements of the Middle Jurassic shales in the northern Qaidam Basin are shown in Table 3. The average values of ∑REE, ∑LREE, ∑HREE, and ∑LREE/∑HREE in the Dameigou, lower Shimengou, and upper Shimengou shales are 236.12, 214.06, 22.07 µg/g, and 9.69; 276.60, 250.30, 26.29 µg/g, and 9.42; and 236.81, 212.35, 24.47 µg/g, and 8.55, respectively, indicating that the light rare earth elements are enriched and the heavy rare earth elements are deficient in the Middle Jurassic shales in the northern Qaidam Basin. The average values of La/Yb in the upper Shimengou, lower Shimengou, and Dameigou shales are 13.82, 15.07, and 15.73, respectively, suggesting that the accumulation ability of light rare earth elements in the upper Shimengou shales are lower than the lower Shimengou and Dameigou shales (Table 3). This enrichment of light rare earth and the deficiency of heavy rare earth are also found compared to the average rare earth element in the upper crust [30] (Figure 5). The La element is the most enriched among the light rare earth elements, while the Gd element is the most enriched among the heavy rare earth elements.
Rare earth compositions of the Middle Jurassic mudstones and shales from the Yuqia coalfield, northern Qaidam Basin
Unit | Sample number | La | Ce | Pr | Nd | Sm | Eu | Gd | Tb | Dy | Ho | Er | Tm | Yb | Lu | ∑REE | ∑LREE | ∑HREE | ∑LREE/∑HREE | La/Yb |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Upper Shimengou Formation | Y-1 | 37.1 | 59 | 8.04 | 30.1 | 6.05 | 1.19 | 5.01 | 0.88 | 4.95 | 0.95 | 2.73 | 0.44 | 2.83 | 0.39 | 159.66 | 141.48 | 18.18 | 7.78 | 13.11 |
Y-3 | 40.2 | 62.4 | 8.93 | 34.3 | 6.34 | 1.31 | 5.51 | 0.93 | 5.11 | 0.96 | 2.71 | 0.44 | 2.8 | 0.4 | 172.34 | 153.48 | 18.86 | 8.14 | 14.36 | |
Y-5 | 19.9 | 41.1 | 4.69 | 18.1 | 3.65 | 0.75 | 3.21 | 0.54 | 2.97 | 0.59 | 1.66 | 0.25 | 1.67 | 0.22 | 99.3 | 88.19 | 11.11 | 7.94 | 11.92 | |
Y-7 | 24.7 | 46.5 | 5.44 | 20.8 | 4.01 | 0.86 | 3.77 | 0.63 | 3.46 | 0.69 | 1.95 | 0.31 | 2.06 | 0.29 | 115.47 | 102.31 | 13.16 | 7.77 | 11.99 | |
Y-9 | 55.4 | 92.7 | 11.6 | 44.1 | 8.33 | 1.74 | 7.41 | 1.24 | 6.75 | 1.31 | 3.82 | 0.61 | 4.02 | 0.57 | 239.6 | 213.87 | 25.73 | 8.31 | 13.78 | |
Y-11 | 50.3 | 87.6 | 11 | 43.8 | 8.44 | 1.7 | 7.25 | 1.26 | 6.44 | 1.28 | 3.6 | 0.6 | 3.88 | 0.57 | 227.72 | 202.84 | 24.88 | 8.15 | 12.96 | |
Y-13 | 62.9 | 110 | 13.4 | 53.5 | 9.97 | 1.95 | 8.43 | 1.41 | 7.57 | 1.39 | 3.91 | 0.62 | 4.39 | 0.61 | 280.06 | 251.72 | 28.33 | 8.89 | 14.33 | |
Y-15 | 63.1 | 119 | 14.1 | 53.1 | 9.93 | 1.92 | 8.78 | 1.47 | 7.8 | 1.48 | 4.11 | 0.71 | 4.47 | 0.66 | 290.63 | 261.15 | 29.48 | 8.86 | 14.12 | |
Y-17 | 61.1 | 119 | 14.5 | 54.9 | 10.4 | 2.12 | 8.78 | 1.41 | 7.53 | 1.44 | 4.09 | 0.65 | 4.16 | 0.6 | 290.68 | 262.02 | 28.66 | 9.14 | 14.69 | |
Y-18 | 47.1 | 84.6 | 10.7 | 41.2 | 7.96 | 1.53 | 6.9 | 1.19 | 6.2 | 1.23 | 3.44 | 0.58 | 3.65 | 0.54 | 216.82 | 193.09 | 23.73 | 8.14 | 12.90 | |
Y-20 | 74.6 | 136 | 17 | 65.8 | 11.9 | 2.45 | 10.1 | 1.56 | 8.42 | 1.45 | 4.24 | 0.69 | 4.51 | 0.62 | 339.34 | 307.75 | 31.59 | 9.74 | 16.54 | |
Y-22 | 64.4 | 120 | 14.8 | 57.3 | 10.4 | 1.96 | 8.71 | 1.48 | 7.94 | 1.52 | 4.33 | 0.71 | 4.49 | 0.67 | 298.71 | 268.86 | 29.85 | 9.01 | 14.34 | |
Y-24 | 66.5 | 130 | 15.4 | 58.8 | 11.3 | 2.17 | 9.8 | 1.58 | 8.46 | 1.54 | 4.39 | 0.71 | 4.53 | 0.64 | 315.82 | 284.17 | 31.65 | 8.98 | 14.68 | |
Y-27 | 59 | 107 | 13 | 51.7 | 9.35 | 1.85 | 8.01 | 1.32 | 7.06 | 1.35 | 4.02 | 0.64 | 4.29 | 0.63 | 269.22 | 241.9 | 27.32 | 8.85 | 13.75 | |
Lower Shimengou Formation | Y-30 | 57.9 | 101 | 12.4 | 46.8 | 8.37 | 1.38 | 7.34 | 1.2 | 6.38 | 1.16 | 3.37 | 0.54 | 3.62 | 0.52 | 251.98 | 227.85 | 24.13 | 9.44 | 15.99 |
Y-32 | 99.4 | 184 | 21.5 | 83.8 | 14.2 | 2.65 | 12.1 | 2.07 | 10.3 | 1.96 | 5.75 | 0.91 | 5.83 | 0.89 | 445.36 | 405.55 | 39.81 | 10.19 | 17.05 | |
Y-33 | 57.7 | 102 | 11.9 | 45.8 | 8.12 | 1.5 | 6.94 | 1.23 | 6.75 | 1.3 | 3.72 | 0.62 | 4 | 0.57 | 252.15 | 227.02 | 25.13 | 9.03 | 14.43 | |
Y-34 | 39.4 | 71.1 | 8.44 | 31.7 | 5.81 | 0.86 | 4.75 | 0.86 | 4.69 | 0.96 | 2.94 | 0.49 | 3.44 | 0.53 | 175.98 | 157.31 | 18.66 | 8.43 | 11.45 | |
Y-35 | 79.8 | 163 | 19 | 75.4 | 14 | 2.39 | 11.2 | 1.85 | 9 | 1.58 | 4.45 | 0.66 | 4.27 | 0.65 | 387.25 | 353.59 | 33.66 | 10.50 | 18.69 | |
Y-36 | 60.6 | 121 | 14.3 | 54.1 | 9.68 | 1.69 | 8 | 1.45 | 7.54 | 1.36 | 3.88 | 0.61 | 4.06 | 0.56 | 288.83 | 261.37 | 27.46 | 9.52 | 14.93 | |
Y-39 | 58.4 | 106 | 12.9 | 49.7 | 8.77 | 1.68 | 8.06 | 1.34 | 7.39 | 1.39 | 3.98 | 0.66 | 4.5 | 0.68 | 265.45 | 237.45 | 28 | 8.48 | 12.98 | |
Y-41 | 66.5 | 126 | 15.5 | 59.5 | 10.6 | 1.88 | 8.5 | 1.45 | 7.53 | 1.47 | 4.18 | 0.66 | 4.21 | 0.63 | 308.6 | 279.98 | 28.63 | 9.78 | 15.80 | |
Y-44 | 42.7 | 78 | 9.21 | 34.7 | 6.15 | 1.14 | 5.11 | 0.92 | 4.89 | 0.95 | 2.85 | 0.48 | 3.1 | 0.43 | 190.63 | 171.9 | 18.73 | 9.18 | 13.77 | |
Y-47 | 47.1 | 79.5 | 9.93 | 37 | 6.31 | 1.14 | 5.29 | 0.95 | 4.82 | 0.98 | 2.8 | 0.45 | 3.01 | 0.43 | 199.72 | 180.98 | 18.73 | 9.66 | 15.65 | |
Dameigou Formation | Y-48 | 61.8 | 111 | 14.4 | 55.5 | 9.82 | 1.78 | 8 | 1.38 | 6.95 | 1.28 | 3.62 | 0.58 | 3.71 | 0.55 | 280.37 | 254.3 | 26.07 | 9.75 | 16.66 |
Y-49 | 57.1 | 109 | 11.8 | 45.7 | 8.37 | 1.41 | 6.45 | 1.19 | 6.32 | 1.25 | 3.58 | 0.61 | 3.84 | 0.55 | 257.17 | 233.38 | 23.79 | 9.81 | 14.87 | |
Y-50 | 51 | 104 | 11.6 | 44.9 | 7.91 | 1.39 | 6.32 | 1.15 | 5.88 | 1.13 | 3.31 | 0.54 | 3.39 | 0.48 | 243 | 220.8 | 22.2 | 9.95 | 15.04 | |
Y-51 | 49.8 | 77.3 | 10 | 36.5 | 5.84 | 0.96 | 4.82 | 0.87 | 4.7 | 0.9 | 2.67 | 0.44 | 2.73 | 0.42 | 197.95 | 180.4 | 17.55 | 10.28 | 18.24 | |
Y-52 | 37.5 | 57.5 | 7.33 | 26 | 4.35 | 0.76 | 3.88 | 0.73 | 3.8 | 0.79 | 2.2 | 0.38 | 2.45 | 0.35 | 148.01 | 133.44 | 14.58 | 9.15 | 15.31 | |
Y-53 | 59.2 | 118 | 13.6 | 54.6 | 10.1 | 1.79 | 8.22 | 1.43 | 7.01 | 1.34 | 3.75 | 0.64 | 3.95 | 0.55 | 284.18 | 257.29 | 26.89 | 9.57 | 14.99 | |
Y-54 | 51.9 | 100 | 11.9 | 45.2 | 8.29 | 1.51 | 6.97 | 1.22 | 6.25 | 1.13 | 3.32 | 0.54 | 3.46 | 0.5 | 242.19 | 218.8 | 23.39 | 9.35 | 15.00 |
Sample number YQ-1-1 is abbreviated as Y-1; The units of these rare earth elements are µg/g.

Standardized cobweb diagram of rare earth elements in the Middle Jurassic shales (Chondrite, chondrite-normalized value of each rare earth element).
5 Discussion
5.1 Chemical weathering and its implication for paleoclimate
The average CIA value of the Middle Jurassic shales in northern Qaidam Basin is 89.26% with 88.95% in the Dameigou Formation, 87.15% in the lower Shimengou Formation, and 85.65% in the upper Shimengou Formation. The maximum value of CIA occurs in the Dameigou Formation with a value of 90.44%, and the minimum value of CIA is found in the upper Shimengou Formation with a value of 74.67% (Table 1 and Figure 6). These indicate that the weathering degree of the Middle Jurassic shales in the northern Qaidam Basin is relatively high and the chemical weathering degree from the Dameigou Formation to the upper part of the Shimengou Formation has a decreasing trend during the deposition process (Figure 6). The different combinations of Al, K, Rb, and Ga elements in the shales can also be used to analyze the chemical weathering intensity and the characteristics of paleoclimatical changes in the sedimentary period [31]. The Al and Ga elements are mainly associated with the composition of fine-grained aluminosilicate and are enriched in kaolinite minerals representing warm and humid climate [32]. The K and Rb elements are closely related to illite, with higher values representing a weaker chemical weathering intensity under an arid, wet, and cold climate [32]. Therefore, illite-rich sediments should have low Ga/Rb and high K2O/Al2O3 ratios, while kaolinite-rich sediments have high Ga/Rb and low K2O/Al2O3 ratios [31]. In this study, the Ga/Rb ratios in the mudstones/shales generally decrease from the Dameigou Formation to the upper part of the Shimengou Formation, whereas the K2O/Al2O3 ratios show an opposite trend (Figure 7), revealing a gradual shift from a warm and humid to a cold and dry paleoclimatic condition during the Middle Jurassic. It is worth noting that the Ga/Rb and K2O/Al2O3 ratios in the lower and upper Shimengou Formation shales belong to a mostly fluctuating trend, not an abrupt change (Figure 7). Combined with previous studies [4,33], the paleoclimate was changed from warm and humid to cold and dry in the early Middle Jurassic and then it changed into hot and arid in the late Middle Jurassic. In this study, there is a coal seam with thickness higher than 8 m in the Dameigou Formation, but it changes into a thin layer and directly disappears in the upper Shimengou Formation (Figure 2). Meanwhile, the lithology of the Upper Jurassic is mostly covered with red sand conglomerates [33,34,35], which also confirms that the depositional period was shifted from a warm and humid in the early stage to a cold and dry in the middle stage and then to a hot and arid paleoclimate in the late stage.

Al2O3–CaO* + Na2O–K2O(A–CN–K)ternary diagram showing the changes in chemical compositions and weathering degree in the Dameigou and Shimengou shales.

Chemical weathering intensity and paleoclimate evolution of the Middle Jurassic shales in the Yuqia coalfield, northern Qaidam Basin (Ga/Rb vs. K2O/Al2O3). The samples from Dameigou Formation are restricted in the range of Ga/Rb higher than 0.187 and K2O/Al2O3 lower than 0.1167.
5.2 Provenance analyses
The sedimentary provenance is generally analyzed using several indicators consisting of framework petrography, heavy minerals, and element geochemistry [36,37,38]. The source rock types of sedimentary rocks can be largely determined using the La/Yb-∑REE diagram in shales [39]. Most samples in the study area are distributed in the mixed area between granite and alkaline basalt, with a few samples falling in the intersection area of sedimentary rock and alkaline basalt (Figure 8a). Therefore, it is considered that the provenance of the Middle Jurassic strata in the study area was mainly from alkaline basalts and granites, with a few from sedimentary rocks. Based on the relationship between La/Th and Hf [40], the distributions of the shale samples in the study area are relatively concentrated, indicating that the parent rock types tended to be consistent. The provenances were mainly from felsic rocks and mixed sources of felsic rocks and basic rocks, with a few from the upper crust (Figure 8b). Specifically, a vertical change rule of the source rocks from bottom to top can also be found, with the upper crust and felsic sources in the Dameigou Formation, felsic sources in the lower Shimengou Formation, and with the mixed sources of felsic rocks and basic rocks in the upper Shimengou Formation (Figure 8b). This indicates that a great change would be effected for the tectonic background in the northern Qaidam Basin.
5.3 Tectonic background discrimination
Based on the discriminant diagram of SiO2–K2O/Na2O proposed by Roser and Korsch [41], most of the samples fall in the region of passive continental margin except for a few samples which belong to the active continental margin and the oceanic/continental island arc peripheral regions in the upper Shimengou Formation (Figure 9a). This indicates that the tectonic background of the source rocks in the Middle Jurassic Dameigou and Shimengou formations is mostly characterized by passive continental margin. A few samples fall in the active continental margin and oceanic/continental island arc area, which are mainly attributed to low SiO2 contents, probably caused by weathering [20]. In addition, based on the distribution characteristics of each sample point, the tectonic background generally changed from the passive continental margin of the Dameigou Formation to the active continental margin and the oceanic island arc of the Upper Shimengou Formation (Figure 9a). According to the La–Th–Sc trace element discriminative tectonic background illustration proposed by Bhatia [42], the samples from the Middle Jurassic strata of YQ-1 well in the Yuqia coalfield are shown in the La–Th–Sc triangle map. The results show that the samples from the upper Shimengou Formation fall in the continental island arc region, and the Dameigou shales fall in the active and the passive continental margin regions (Figure 9b). It should be noted that the lower Shimengou shales are found in both these regions. Therefore, the tectonic settings of the Middle Jurassic Dameigou Formation in the study area were mostly characterized by passive or active continental margin, but the Shimengou period showed a tendency shifting to the continental island arc region.
![Figure 9
Discrimination diagrams for tectonic setting of the Middle Jurassic shales in the Yuqia coalfield, northern Qaidam Basin (a) with the base map after Roser et al. [41], (b) with the base map after Bhatia [42]; A–SiO2–K2O/Na2O; B–La–Th–Sc; CTIA: continental island arc; OIA: oceanic island arc; ACM: active continental margin; PM: passive continental margin.](/document/doi/10.1515/geo-2020-0318/asset/graphic/j_geo-2020-0318_fig_009.jpg)
Discrimination diagrams for tectonic setting of the Middle Jurassic shales in the Yuqia coalfield, northern Qaidam Basin (a) with the base map after Roser et al. [41], (b) with the base map after Bhatia [42]; A–SiO2–K2O/Na2O; B–La–Th–Sc; CTIA: continental island arc; OIA: oceanic island arc; ACM: active continental margin; PM: passive continental margin.
5.4 Indication for the tectonic, climatic, and depositional system
There are several various rules for the tectonics, paleoenvironmental, and paleoclimatic evolution from the Middle Jurassic Dameigou Formation to Shimengou Formation in the northern Qaidam Basin. These changes were generally characterized by a shift in the tectonic setting from the passive continental margin to the active continental margin and oceanic island arc; a shift in rock sources from the upper crust and felsic rocks to the mixed felsic rocks and basic rocks; and a shift in paleoclimate from warm and humid to cold and dry and then to hot and arid. The relevant sedimentary facies were shifted from peatlands in the deltaic floodplain to mudstones in shallow lakes and oil shales in semi-deep lakes [1,2]. During the Jurassic, the Qaidam Basin was surrounded by the Tethys Ocean, Qiangtang Massif, Tarim Block, North China Craton, and Yangzi Block (Figure 10). Thus, the paleoclimatic and paleogeographic evolution of the Qaidam Basin were closely related to these paleo-oceanic and ancient plate activities [43,44]. In the early Middle Jurassic, the different movements of the Qiangtang Massif and the North China Craton resulted in a tectonic extensional environment in the northern Qaidam Basin [43]. This tectonic background corresponded to a passive continental margin, and the provenance directions mainly came from the northern and western parts of northern Qaidam Basin [2], which mainly provided upper crust and felsic rocks as the source rock types (Figures 8 and 10). At the same time, the overall topography of the Qaidam Basin was low, and the water vapor from the Tethys Ocean led the study region to be wet and rainy [33], which provided favorable conditions for the formation of thick coal seams under these warm and humid climates. Therefore, the abundant coal and coalbed methane resources were found in the Middle Jurassic Dameigou Formation [45,46]. In the late Middle Jurassic, a remarkable lift caused by the extrusion and collision of the Tarim Block in the west and the Qiangtang Massif in the south, blocked the transport of the Tethys Ocean monsoon [33] and the temperature of the region greatly increased under the influence of the dry climate zone and the strengthening global greenhouse effect [47], which resulted in a hot and arid climate stage. The Shimengou shales and oil shales were well deposited in the prevailed lacustrine paleoenvironments under these paleoclimates [48]. Plate extrusion and collision simultaneously causing the development of island arc and the upwelling of basic and ultrabasic iron with magnesium-rich magma, finally resulted in the oceanic island arc in tectonic background as well as the mixed felsic rocks and basic rocks in rock sources during the late Middle Jurassic (Figures 8 and 10).

Model showing the evolution for tectonic, climatic, and depositional system from early to late Middle Jurassic in the northern Qaidam Basin. (a) Early Middle Jurassic and (b) Late Middle Jurassic.
6 Conclusion
Based on the analyses of elemental geochemistry and the lithological changes, the paleoclimate of the Middle Jurassic in the northern Qaidam Basin was shifted from warm and humid in the early stage to cold and dry in the middle stage and then to hot and arid in the late stage.
The vertical changes in trace and rare earth elements in the samples suggest that the Middle Jurassic tectonic background of the northern Qaidam Basin was changed from passive continental margin to active continental margin and oceanic island arc, and the corresponding rock sources were changed from the upper crust and felsic rocks to the mixed felsic rocks and basic rocks.
Due to the passive continental margin of tectonic background during the early Middle Jurassic, there was a warm and humid paleoclimate caused by the extensional tectonics and the water vapor input from the Tethys Ocean. The late Middle Jurassic extrusion resulted in the development of island arc and blocked the monsoon input, making the tectonic background of this period tending to be oceanic island arc with a hot and arid paleoclimate.
Since elemental geochemistry can only provide qualitative study results, it is difficult to vertically determine the degree of paleoclimatical dryness, wetness, and cooling. Therefore, it is suggested that more quantitative geochemical parameters such as carbon, oxygen isotopes, and organic carbon isotopes can be used in later studies to deeply investigate the tectonic-climatic responses to the sediment changes.
Acknowledgments
We are grateful to Professor Huan Li and other anonymous reviewers for their careful comments to improve our article.
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Funding information: This research work was supported by the China Postdoctoral Science Foundation (2021M693844), the Discipline Innovation Team of Liaoning Technical University (LNTU20TD-05; LNTU20TD-14; LNTU20TD-30), the Guiding Program of Liaoning Natural Science Funds (2019-ZD-0046), and the Scientific Research Funding Project of Liaoning Education Department (LJ2019JL004).
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Conflict of interest: Authors state no conflict of interest.
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© 2021 Haihai Hou et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Regular Articles
- Lithopetrographic and geochemical features of the Saalian tills in the Szczerców outcrop (Poland) in various deformation settings
- Spatiotemporal change of land use for deceased in Beijing since the mid-twentieth century
- Geomorphological immaturity as a factor conditioning the dynamics of channel processes in Rządza River
- Modeling of dense well block point bar architecture based on geological vector information: A case study of the third member of Quantou Formation in Songliao Basin
- Predicting the gas resource potential in reservoir C-sand interval of Lower Goru Formation, Middle Indus Basin, Pakistan
- Study on the viscoelastic–viscoplastic model of layered siltstone using creep test and RBF neural network
- Assessment of Chlorophyll-a concentration from Sentinel-3 satellite images at the Mediterranean Sea using CMEMS open source in situ data
- Spatiotemporal evolution of single sandbodies controlled by allocyclicity and autocyclicity in the shallow-water braided river delta front of an open lacustrine basin
- Research and application of seismic porosity inversion method for carbonate reservoir based on Gassmann’s equation
- Impulse noise treatment in magnetotelluric inversion
- Application of multivariate regression on magnetic data to determine further drilling site for iron exploration
- Comparative application of photogrammetry, handmapping and android smartphone for geotechnical mapping and slope stability analysis
- Geochemistry of the black rock series of lower Cambrian Qiongzhusi Formation, SW Yangtze Block, China: Reconstruction of sedimentary and tectonic environments
- The timing of Barleik Formation and its implication for the Devonian tectonic evolution of Western Junggar, NW China
- Risk assessment of geological disasters in Nyingchi, Tibet
- Effect of microbial combination with organic fertilizer on Elymus dahuricus
- An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
- Subsurface structure investigation of the United Arab Emirates using gravity data
- Shallow geophysical and hydrological investigations to identify groundwater contamination in Wadi Bani Malik dam area Jeddah, Saudi Arabia
- Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora (Sw.) DC, Saudi Arabia
- Characteristics and evaluation of the Upper Paleozoic source rocks in the Southern North China Basin
- Geospatial assessment of wetland soils for rice production in Ajibode using geospatial techniques
- Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
- Geotechnical profiling of a surface mine waste dump using 2D Wenner–Schlumberger configuration
- Forest cover assessment using remote-sensing techniques in Crete Island, Greece
- Stability of an abandoned siderite mine: A case study in northern Spain
- Assessment of the SWAT model in simulating watersheds in arid regions: Case study of the Yarmouk River Basin (Jordan)
- The spatial distribution characteristics of Nb–Ta of mafic rocks in subduction zones
- Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods
- Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite
- Detection and modeling of soil salinity variations in arid lands using remote sensing data
- Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images
- Is there an equality in the spatial distribution of urban vitality: A case study of Wuhan in China
- Considering the geological significance in data preprocessing and improving the prediction accuracy of hot springs by deep learning
- Comparing LiDAR and SfM digital surface models for three land cover types
- East Asian monsoon during the past 10,000 years recorded by grain size of Yangtze River delta
- Influence of diagenetic features on petrophysical properties of fine-grained rocks of Oligocene strata in the Lower Indus Basin, Pakistan
- Impact of wall movements on the location of passive Earth thrust
- Ecological risk assessment of toxic metal pollution in the industrial zone on the northern slope of the East Tianshan Mountains in Xinjiang, NW China
- Seasonal color matching method of ornamental plants in urban landscape construction
- Influence of interbedded rock association and fracture characteristics on gas accumulation in the lower Silurian Shiniulan formation, Northern Guizhou Province
- Spatiotemporal variation in groundwater level within the Manas River Basin, Northwest China: Relative impacts of natural and human factors
- GIS and geographical analysis of the main harbors in the world
- Laboratory test and numerical simulation of composite geomembrane leakage in plain reservoir
- Structural deformation characteristics of the Lower Yangtze area in South China and its structural physical simulation experiments
- Analysis on vegetation cover changes and the driving factors in the mid-lower reaches of Hanjiang River Basin between 2001 and 2015
- Extraction of road boundary from MLS data using laser scanner ground trajectory
- Research on the improvement of single tree segmentation algorithm based on airborne LiDAR point cloud
- Research on the conservation and sustainable development strategies of modern historical heritage in the Dabie Mountains based on GIS
- Cenozoic paleostress field of tectonic evolution in Qaidam Basin, northern Tibet
- Sedimentary facies, stratigraphy, and depositional environments of the Ecca Group, Karoo Supergroup in the Eastern Cape Province of South Africa
- Water deep mapping from HJ-1B satellite data by a deep network model in the sea area of Pearl River Estuary, China
- Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics
- A machine learning-driven stochastic simulation of underground sulfide distribution with multiple constraints
- Origin of the low-medium temperature hot springs around Nanjing, China
- LCBRG: A lane-level road cluster mining algorithm with bidirectional region growing
- Constructing 3D geological models based on large-scale geological maps
- Crops planting structure and karst rocky desertification analysis by Sentinel-1 data
- Physical, geochemical, and clay mineralogical properties of unstable soil slopes in the Cameron Highlands
- Estimation of total groundwater reserves and delineation of weathered/fault zones for aquifer potential: A case study from the Federal District of Brazil
- Characteristic and paleoenvironment significance of microbially induced sedimentary structures (MISS) in terrestrial facies across P-T boundary in Western Henan Province, North China
- Experimental study on the behavior of MSE wall having full-height rigid facing and segmental panel-type wall facing
- Prediction of total landslide volume in watershed scale under rainfall events using a probability model
- Toward rainfall prediction by machine learning in Perfume River Basin, Thua Thien Hue Province, Vietnam
- A PLSR model to predict soil salinity using Sentinel-2 MSI data
- Compressive strength and thermal properties of sand–bentonite mixture
- Age of the lower Cambrian Vanadium deposit, East Guizhou, South China: Evidences from age of tuff and carbon isotope analysis along the Bagong section
- Identification and logging evaluation of poor reservoirs in X Oilfield
- Geothermal resource potential assessment of Erdaobaihe, Changbaishan volcanic field: Constraints from geophysics
- Geochemical and petrographic characteristics of sediments along the transboundary (Kenya–Tanzania) Umba River as indicators of provenance and weathering
- Production of a homogeneous seismic catalog based on machine learning for northeast Egypt
- Analysis of transport path and source distribution of winter air pollution in Shenyang
- Triaxial creep tests of glacitectonically disturbed stiff clay – structural, strength, and slope stability aspects
- Effect of groundwater fluctuation, construction, and retaining system on slope stability of Avas Hill in Hungary
- Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia
- Pore throat characteristics of tight reservoirs by a combined mercury method: A case study of the member 2 of Xujiahe Formation in Yingshan gasfield, North Sichuan Basin
- Geochemistry of the mudrocks and sandstones from the Bredasdorp Basin, offshore South Africa: Implications for tectonic provenance and paleoweathering
- Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
- Lithology classification of volcanic rocks based on conventional logging data of machine learning: A case study of the eastern depression of Liaohe oil field
- Sequence stratigraphy and coal accumulation model of the Taiyuan Formation in the Tashan Mine, Datong Basin, China
- Influence of thick soft superficial layers of seabed on ground motion and its treatment suggestions for site response analysis
- Monitoring the spatiotemporal dynamics of surface water body of the Xiaolangdi Reservoir using Landsat-5/7/8 imagery and Google Earth Engine
- Research on the traditional zoning, evolution, and integrated conservation of village cultural landscapes based on “production-living-ecology spaces” – A case study of villages in Meicheng, Guangdong, China
- A prediction method for water enrichment in aquifer based on GIS and coupled AHP–entropy model
- Earthflow reactivation assessment by multichannel analysis of surface waves and electrical resistivity tomography: A case study
- Geologic structures associated with gold mineralization in the Kirk Range area in Southern Malawi
- Research on the impact of expressway on its peripheral land use in Hunan Province, China
- Concentrations of heavy metals in PM2.5 and health risk assessment around Chinese New Year in Dalian, China
- Origin of carbonate cements in deep sandstone reservoirs and its significance for hydrocarbon indication: A case of Shahejie Formation in Dongying Sag
- Coupling the K-nearest neighbors and locally weighted linear regression with ensemble Kalman filter for data-driven data assimilation
- Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia)
- A full-view scenario model for urban waterlogging response in a big data environment
- Elemental geochemistry of the Middle Jurassic shales in the northern Qaidam Basin, northwestern China: Constraints for tectonics and paleoclimate
- Geometric similarity of the twin collapsed glaciers in the west Tibet
- Improved gas sand facies classification and enhanced reservoir description based on calibrated rock physics modelling: A case study
- Utilization of dolerite waste powder for improving geotechnical parameters of compacted clay soil
- Geochemical characterization of the source rock intervals, Beni-Suef Basin, West Nile Valley, Egypt
- Satellite-based evaluation of temporal change in cultivated land in Southern Punjab (Multan region) through dynamics of vegetation and land surface temperature
- Ground motion of the Ms7.0 Jiuzhaigou earthquake
- Shale types and sedimentary environments of the Upper Ordovician Wufeng Formation-Member 1 of the Lower Silurian Longmaxi Formation in western Hubei Province, China
- An era of Sentinels in flood management: Potential of Sentinel-1, -2, and -3 satellites for effective flood management
- Water quality assessment and spatial–temporal variation analysis in Erhai lake, southwest China
- Dynamic analysis of particulate pollution in haze in Harbin city, Northeast China
- Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: In a case study of the Lake Tana sub-basin in northwestern Ethiopia
- Performance comparison of the wavenumber and spatial domain techniques for mapping basement reliefs from gravity data
- Spatiotemporal evolution of ecological environment quality in arid areas based on the remote sensing ecological distance index: A case study of Yuyang district in Yulin city, China
- Petrogenesis and tectonic significance of the Mengjiaping beschtauite in the southern Taihang mountains
- Review Articles
- The significance of scanning electron microscopy (SEM) analysis on the microstructure of improved clay: An overview
- A review of some nonexplosive alternative methods to conventional rock blasting
- Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations
- A review of genetic classification and characteristics of soil cracks
- Potential CO2 forcing and Asian summer monsoon precipitation trends during the last 2,000 years
- Erratum
- Erratum to “Calibration of the depth invariant algorithm to monitor the tidal action of Rabigh City at the Red Sea Coast, Saudi Arabia”
- Rapid Communication
- Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners
- Technical Note
- Construction and application of the 3D geo-hazard monitoring and early warning platform
- Enhancing the success of new dams implantation under semi-arid climate, based on a multicriteria analysis approach: Case of Marrakech region (Central Morocco)
- TRANSFORMATION OF TRADITIONAL CULTURAL LANDSCAPES - Koper 2019
- The “changing actor” and the transformation of landscapes