Abstract
One of the major challenges facing geochemistry, petrology, and volcanology researchers is the difficulty in determining the origin and paleo-flow directions of igneous and volcanic rocks. It is not possible to clearly determine origins and paleo-flow directions in areas with numerous volcanic centers. Anisotropy of magnetic susceptibility (AMS) is a valuable method that provides insights into the origins and paleo-flow directions of lavas that are complex to study. The presence of volcanic materials with thicknesses up to 1 km, coming from different sources at varied time intervals in the north of Lake Van, makes this area an ideal setting for implementing AMS in establishing paleo-flow directions. This study presents the magnetic mineralogy and AMS analysis of volcanic rocks from the Miocene to the Quaternary in the Lake Van region. We conducted isothermal remanent magnetization (IRM) and high-temperature susceptibility (HTS) studies to determine the magnetic mineralogy. IRM studies revealed that (titano)magnetite is responsible for the magnetization in most samples, while both (titano)magnetite and hematite are responsible for the rest. Alteration degrees and Curie temperatures of the rock samples were also determined through HTS measurements. There is good agreement between the anticipated directions of lava flow and our findings for nearly all volcanic rocks.
1 Introduction
The Eastern Anatolian Plateau was formed by the collision between the Arabian and Eurasian plates from the Late Oligocene to Early Miocene [1] and is a plateau with an average elevation of 1.5 km [2,3,4,5]. Furthermore, the convergence and collision within the Eastern Anatolian Plateau led to the development of two strike-slip fault systems that converge to the east of Karlıova. These are the North Anatolian Fault Zone (NAFZ), which has a right-lateral NW-SE direction near Karlıova, and the left-lateral East Anatolian Fault Zone, which has an NE–SW direction [5,6,7] (Figure 1). Due to the collision, extensive volcanic activity was present in Eastern Anatolia, which began in the Middle Miocene and covered vast areas, extending from the Erzurum-Kars plateau in the north to the Bitlis Zagros suture belt in the south [7].

Simplified tectonic map of the Aegean and Eastern Mediterranean region showing main plate boundaries, major suture zones, fault systems, and tectonic units. The red square represents the study area. EAFZ: East Anatolian Fault Zone; NAFZ: North Anatolian Fault Zone; DSFZ: Death Sea Fault Zone; BZSZ: Bitlis Zagros Suture Zone.
In the northeastern region of Lake Van, there are numerous volcanic centers with their volcanic products interweaved. Some of these units comprise the Miocene Aladağ volcanic rocks, the Pliocene volcanic products of the Etrüsk volcano, the Quaternary Girekol volcano, and several extensional fractures, including Yüksektepe, Karnıyarık, and Omruktepe (Figure 2) [8]. Oyan et al. stated that the volcanic rocks produced from these volcanic sources are composed of basaltic, hawaiitic, and mugearitic in composition [8].
![Figure 2
Geological map of the study area (modified after General Directorate of Mineral Research and Exploration [MTA], 1/500,000 scale geological map [2002]) and distribution of the AMS sampling sites (Red, white, green, and blue dots represent Quaternary aged Girekol, Quaternary aged Karnıyarık – Yüksektepe, Pliocene, and Miocene-aged sample locations, respectively).](/document/doi/10.1515/geo-2022-0605/asset/graphic/j_geo-2022-0605_fig_002.jpg)
Geological map of the study area (modified after General Directorate of Mineral Research and Exploration [MTA], 1/500,000 scale geological map [2002]) and distribution of the AMS sampling sites (Red, white, green, and blue dots represent Quaternary aged Girekol, Quaternary aged Karnıyarık – Yüksektepe, Pliocene, and Miocene-aged sample locations, respectively).
The anisotropy of magnetic susceptibility (AMS) technique is a widely used method in petrofabrics research. This technique relies on gauging the low-field magnetic susceptibility of the sample in various directions. As a result of the measurements, certain properties are calculated to define the magnetic lineation and foliation. These include the size and shape of the AMS ellipsoid and the magnetic fabric. It serves as a marker for determining the direction of magma flow by utilizing these characteristics [9]. The effectiveness of AMS in determining the internal texture, flow direction, and/or flow plane of volcanic rock is well documented in the literature [9,10,11,12,13,14].
The temporal and spatial differences in the volume and composition of volcanic products due to the collision between the Arabian and Anatolian plates and the intermingling of volcanic products from different sources from Neogene to Quaternary in the north of Lake Van have made the study area important in terms of determining paleo-flow directions.
Due to the collisional tectonics, there are thick and widespread volcanic rocks present in Eastern Anatolia. These volcanic rocks have been studied by different researchers in order to uncover the geochemical source and center of volcanism, yet there is no consensus achieved to date. Paleomagnetic and rock magnetic studies are commonly used to contribute to the solution of these problems; however, there are not many paleomagnetic studies that have been carried out in Eastern Anatolia, specifically focusing on paleo-flows of the region.
This study aims to identify the minerals responsible for magnetization and gain a clearer understanding of the paleo-flow directions and emplacement of the different volcanic materials in the north of Lake Van. Therefore, this study is crucial for a better understanding of the area and offers new scientific findings.
2 Geological setting
Due to the convergence between the Arabian and Eurasian plates, a continent–continent collision occurred in the region after the northern and southern branches of the Neotethys Ocean were closed [15,16]. The collision formed the Bitlis–Zagros suture belt along the plate boundaries, the average height of which currently rises to 1.5 km [1,2,3,4,5,17,18,19].
Volcanic activities in the Eastern Anatolia region started in the Middle Miocene (∼15 Ma) [2,20,21,22] and continued more intensely in the Pliocene and Quaternary [8]. This volcanism took place occupying large areas, and the thickness of accumulated volcanic products reached up to 1 km in thickness [23]. The volcanic deposits were formed from volcanic centers such as Ağrı, Nemrut, Süphan, Tendürek, Ağırkaya, and Etrüsk, which also erupted along the extensional fractures. Therefore, the Eastern Anatolia Region is a natural laboratory in terms of the diversity of volcanic rocks due to the existence of different periods and centers of volcanism along with collision tectonism.
Keskin claimed that volcanic activity started earlier in the north and then migrated southwards, with significant variations in lava chemistry over time [24]. While the volcanic products around the Muş–Nemrut–Tendürek volcanoes are alkaline, the ones around the Erzurum Kars Plateau are calc-alkaline [23].
One of the largest areas of young volcanism in Eastern Anatolia is the north of Lake Van [22]. Lebedev et al. determined that using isotopic data, the starting time of volcanic activity in the region is the Serravallian period (∼15 Ma, Middle Miocene). In the region, the second stage of volcanism originated at the beginning of the Late Miocene (∼10 Ma). The Pliocene volcanism started at 5.8 Ma and continued for about 2 Ma, while the Quaternary volcanism in the north of Lake Van started at ∼1 Ma [22].
3 AMS method and sampling
The AMS method has been used by many researchers to study the magnetic fabric in igneous, sedimentary, and metamorphic rocks [9,10,11,25]. AMS refers to the change of magnetic susceptibility in the rock depending on its direction [9]. This change is expressed mathematically with a second-order tensor and is defined as a three-axis ellipsoid [26]. While defining this three-axis ellipsoid in AMS studies, the terms k 1 (k max), k 2 (k int), and k 3 (k min) are referred to as maximum, intermediate, and minimum magnetic susceptibility components, respectively. The long axis (k max) of the magnetic susceptibility ellipsoid defines the magnetic lineation. The short axis (k min) defines the normal plane of the magnetic foliation. In the case of normal fabric, the magnetic lineation coincides with the flow direction, and k min is perpendicular to the flow surface.
Several parameters can be calculated using the magnetic susceptibility components of this ellipsoid to numerically define the degree and shape of anisotropy. These parameters are magnetic lineation (L), magnetic foliation (F), anisotropy degree (P) (equation (1)), mean susceptibility (k m) (equation (2)), corrected anisotropy degree (P j) (equation (3)), and shape parameter (T) (equation 4) (Table 1).
AMS parameters of the Miocene–Quaternary volcanic rocks
Site | Geog. coord (°) | N | Age | k 1 | k 2 | k 3 | k m | L | F | P | P j | T | k 1 (k max) | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lat (N) | Long (E) | D (°) | I(°) | ||||||||||||
aci1 | 38.997 | 43.504 | 6 | Q | 1798.3 | 1780.9 | 1737.2 | 1772.13 | 1.0098 | 1.0252 | 1.0352 | 1.0363 | 0.4374 | 251.4 | 63.4 |
aci2 | 38.997 | 43.504 | 8 | Q | 2845.5 | 2809.5 | 2746.8 | 2800.60 | 1.0128 | 1.0228 | 1.0359 | 1.0364 | 0.2787 | 209 | 2.3 |
aci3 | 39.003 | 43.494 | 5 | Q | 2329.2 | 2321.1 | 2264.6 | 2304.97 | 1.0035 | 1.0249 | 1.0285 | 1.0311 | 0.7523 | 144.6 | 17.5 |
cay1 | 39.112 | 43.341 | 4 | Q | 1458.3 | 1448.1 | 1427.6 | 1444.67 | 1.0070 | 1.0144 | 1.0215 | 1.0219 | 0.3402 | 309.3 | 15.3 |
ckk | 39.119 | 43.454 | 5 | Q | 1,798 | 1785.7 | 1757.3 | 1780.33 | 1.0069 | 1.0162 | 1.0232 | 1.0238 | 0.4004 | 74.2 | 28.2 |
ckk2 | 39.127 | 43.438 | 5 | Q | 1442.3 | 1438.1 | 1398.6 | 1426.33 | 1.0029 | 1.0282 | 1.0312 | 1.0346 | 0.8104 | 317.4 | 5.4 |
dlcy | 39.102 | 43.485 | 5 | Q | 1627.5 | 1,618 | 1,573 | 1606.17 | 1.0059 | 1.0286 | 1.0346 | 1.0371 | 0.6562 | 206.5 | 18.3 |
hac1 | 39.121 | 43.428 | 5 | Q | 2,325 | 2,321 | 2268.5 | 2304.83 | 1.0017 | 1.0231 | 1.0249 | 1.0278 | 0.8600 | 317.6 | 19.1 |
hac3 | 39.119 | 43.418 | 5 | Q | 1915.3 | 1915.2 | 1868.4 | 1899.63 | 1.0001 | 1.0250 | 1.0251 | 1.0290 | 0.9958 | 288.9 | 7.6 |
kek | 39.078 | 43.462 | 5 | Q | 1336.8 | 1,335 | 1290.1 | 1320.63 | 1.0013 | 1.0348 | 1.0362 | 1.0411 | 0.9242 | 243.2 | 14.3 |
kek2 | 39.073 | 43.410 | 9 | Q | 622.8 | 621.1 | 603.4 | 615.77 | 1.0027 | 1.0293 | 1.0322 | 1.0357 | 0.8273 | 199.6 | 24 |
koz4 | 39.032 | 43.549 | 5 | Q | 2378.3 | 2352.9 | 2288.5 | 2339.90 | 1.0108 | 1.0281 | 1.0392 | 1.0405 | 0.4421 | 86.5 | 41.7 |
koz5 | 39.015 | 43.528 | 5 | Q | 1,488 | 1479.3 | 1449.1 | 1472.13 | 1.0059 | 1.0208 | 1.0268 | 1.0282 | 0.5573 | 341.4 | 65.7 |
tprk6 | 39.024 | 43.509 | 9 | Q | 2226.7 | 2226.2 | 2,187 | 2213.30 | 1.0002 | 1.0179 | 1.0182 | 1.0209 | 0.9750 | 181.3 | 8.3 |
tprk7 | 39.025 | 43.530 | 3 | Q | 1337.8 | 1329.5 | 1287.7 | 1318.33 | 1.0062 | 1.0325 | 1.0389 | 1.0418 | 0.6739 | 168.7 | 46 |
inc1 | 39.01 | 43.488 | 4 | Q | 2242.2 | 2241.2 | 2114.8 | 2199.40 | 1.0004 | 1.0598 | 1.0602 | 1.0696 | 0.9847 | 332.4 | 6.6 |
ant | 38.984 | 43.549 | 8 | Pl | 1011.2 | 1001.4 | 948.3 | 986.97 | 1.0098 | 1.0560 | 1.0663 | 1.0717 | 0.6967 | 274.9 | 5.9 |
atok | 38.999 | 43.406 | 6 | Pl | 959.9 | 959.4 | 935.4 | 951.57 | 1.0005 | 1.0257 | 1.0262 | 1.0300 | 0.9597 | 208.6 | 16.2 |
bbc2 | 39.085 | 43.758 | 5 | Pl | 1116.2 | 1110.3 | 1084.6 | 1103.70 | 1.0053 | 1.0237 | 1.0291 | 1.0310 | 0.6309 | 135.5 | 11 |
drk1 | 38.964 | 43.689 | 8 | Pl | 714.6 | 708.6 | 687.7 | 703.63 | 1.0085 | 1.0304 | 1.0391 | 1.0412 | 0.5605 | 181.3 | 47.8 |
blk | 38.979 | 43.729 | 7 | Pl | 1062.4 | 1050.6 | 1007.9 | 1040.30 | 1.0112 | 1.0424 | 1.0541 | 1.0571 | 0.5758 | 37.6 | 15.2 |
brj | 39.023 | 43.741 | 8 | Pl | 993.5 | 978.2 | 958.9 | 976.87 | 1.0156 | 1.0201 | 1.0361 | 1.0362 | 0.1243 | 202.3 | 64.4 |
dere | 39.079 | 43.760 | 7 | Pl | 2834.7 | 2832.5 | 2757.7 | 2808.30 | 1.0008 | 1.0271 | 1.0279 | 1.0319 | 0.9436 | 135.3 | 26.6 |
drk2 | 38.967 | 43.693 | 7 | Pl | 621.6 | 613.4 | 597.1 | 610.70 | 1.0134 | 1.0273 | 1.0410 | 1.0418 | 0.3395 | 210.8 | 24.6 |
goz1 | 39.092 | 43.555 | 9 | Pl | 904.2 | 901.1 | 877.2 | 894.17 | 1.0034 | 1.0272 | 1.0308 | 1.0338 | 0.7734 | 149.3 | 6.8 |
goz2 | 39.099 | 43.581 | 5 | Pl | 1339.6 | 1326.1 | 1295.2 | 1320.30 | 1.0102 | 1.0239 | 1.0343 | 1.0352 | 0.3990 | 224.8 | 10.5 |
goz3 | 39.066 | 43.505 | 4 | Pl | 870.3 | 865.6 | 823.6 | 853.17 | 1.0054 | 1.0510 | 1.0567 | 1.0627 | 0.8036 | 210 | 27.5 |
goz4 | 39.051 | 43.505 | 7 | Pl | 1158.8 | 1143.3 | 1118.5 | 1140.20 | 1.0136 | 1.0222 | 1.0360 | 1.0364 | 0.2391 | 310.7 | 46.3 |
kmr | 39.027 | 43.738 | 5 | Pl | 1497.2 | 1495.1 | 1452.9 | 1481.73 | 1.0014 | 1.0290 | 1.0305 | 1.0345 | 0.9065 | 47.7 | 7 |
kmr2 | 39.033 | 43.734 | 9 | Pl | 719.3 | 714.9 | 686.5 | 706.90 | 1.0062 | 1.0414 | 1.0478 | 1.0520 | 0.7371 | 270.7 | 17.6 |
bbc | 39.092 | 43.784 | 6 | Pl | 1303.6 | 1292.8 | 1264.9 | 1287.10 | 1.0084 | 1.0221 | 1.0306 | 1.0316 | 0.4479 | 168.5 | 57.8 |
isik | 39.006 | 43.429 | 8 | Pl | 841.4 | 841.2 | 816 | 832.87 | 1.0002 | 1.0309 | 1.0311 | 1.0359 | 0.9845 | 126.8 | 20.8 |
hydr | 39.014 | 43.436 | 6 | Pl | 1706.2 | 1,704 | 1641.1 | 1683.77 | 1.0013 | 1.0383 | 1.0397 | 1.0452 | 0.9337 | 19.8 | 55.9 |
hydr3 | 39.011 | 43.431 | 4 | Pl | 939.7 | 922.7 | 913.8 | 925.40 | 1.0184 | 1.0097 | 1.0283 | 1.0288 | −0.3064 | 187 | 28.3 |
hydr2 | 39.006 | 43.421 | 7 | Pl | 768.9 | 765.8 | 740.7 | 758.47 | 1.0040 | 1.0339 | 1.0381 | 1.0419 | 0.7838 | 194.9 | 5.3 |
kmr3 | 39.039 | 43.738 | 8 | Pl | 387.1 | 378.6 | 367.9 | 377.87 | 1.0225 | 1.0291 | 1.0522 | 1.0523 | 0.1271 | 131 | 63.6 |
koz6 | 39.013 | 43.564 | 4 | Pl | 1,463 | 1442.9 | 1409.3 | 1438.40 | 1.0139 | 1.0238 | 1.0381 | 1.0385 | 0.2601 | 243.9 | 24.9 |
krh | 38.962 | 43.668 | 6 | Pl | 778.4 | 769.4 | 753.2 | 767.00 | 1.0117 | 1.0215 | 1.0335 | 1.0339 | 0.2932 | 328.6 | 28.1 |
kzc2 | 38.966 | 43.615 | 7 | Pl | 822.8 | 815 | 790.7 | 809.50 | 1.0096 | 1.0307 | 1.0406 | 1.0424 | 0.5213 | 294.9 | 10.8 |
tas | 39.028 | 43.469 | 5 | Pl | 1174.3 | 1163.1 | 1143.2 | 1160.20 | 1.0096 | 1.0174 | 1.0272 | 1.0276 | 0.2859 | 184.8 | 17.3 |
san | 39.005 | 43.408 | 7 | Pl | 850.8 | 850.8 | 819.4 | 840.33 | 1.0010 | 1.0383 | 1.0383 | 1.0443 | 0.999 | 240.4 | 12.4 |
mur | 39.064 | 43.744 | 11 | Pl | 587.8 | 576.4 | 564.3 | 576.17 | 1.0198 | 1.0214 | 1.0416 | 1.0417 | 0.0400 | 102.3 | 6.7 |
shl | 38.998 | 43.416 | 8 | Pl | 527.3 | 526.5 | 514.4 | 522.73 | 1.0015 | 1.0235 | 1.0251 | 1.0282 | 0.8774 | 287.5 | 8.4 |
snty | 38.955 | 43.646 | 7 | Pl | 563.5 | 558.4 | 543.8 | 555.23 | 1.0091 | 1.0268 | 1.0362 | 1.0377 | 0.4890 | 167.9 | 16.2 |
snty2 | 38.958 | 43.655 | 7 | Pl | 1044.3 | 1024.5 | 987.9 | 1018.90 | 1.0193 | 1.0370 | 1.0571 | 1.0580 | 0.3105 | 216.8 | 0.8 |
tprk2 | 39.074 | 43.557 | 7 | Pl | 1027.3 | 1025.6 | 977.3 | 1010.07 | 1.0017 | 1.0494 | 1.0512 | 1.0583 | 0.9336 | 157.4 | 5.6 |
tprk3 | 39.070 | 43.557 | 5 | Pl | 547.4 | 539.7 | 530.2 | 539.10 | 1.0143 | 1.0179 | 1.0324 | 1.0325 | 0.1125 | 317.6 | 20.5 |
tprk4 | 39.056 | 43.541 | 4 | Pl | 767.1 | 764.4 | 739.6 | 757.03 | 1.0035 | 1.0335 | 1.0372 | 1.0411 | 0.8068 | 353.1 | 8 |
trt | 38.989 | 43.569 | 5 | Pl | 565.7 | 554.9 | 547.9 | 556.17 | 1.0195 | 1.0128 | 1.0325 | 1.0327 | −0.2058 | 75.5 | 31.7 |
ukg | 38.984 | 43.589 | 6 | Pl | 1349.5 | 1336.3 | 1293.5 | 1326.43 | 1.0099 | 1.0331 | 1.0433 | 1.0454 | 0.5361 | 292.1 | 21.1 |
uns | 38.969 | 43.601 | 7 | Pl | 1335.7 | 1320.2 | 1296.8 | 1317.57 | 1.0117 | 1.0180 | 1.0300 | 1.0302 | 0.2102 | 185.6 | 3.5 |
yeni | 39.071 | 43.756 | 8 | Pl | 1352.8 | 1346.7 | 1321.3 | 1340.27 | 1.0045 | 1.0192 | 1.0238 | 1.0253 | 0.6164 | 309.1 | 44.3 |
haci | 39.130 | 43.411 | 8 | M | 1054.4 | 1050.9 | 1012.5 | 1039.27 | 1.0033 | 1.0379 | 1.0414 | 1.0461 | 0.8360 | 188.5 | 3 |
ack | 39.128 | 43.468 | 4 | M | 1023.1 | 1011.7 | 984.4 | 1006.40 | 1.0113 | 1.0277 | 1.0393 | 1.0405 | 0.4188 | 270 | 58.8 |
hcl | 39.117 | 43.495 | 7 | M | 1676.2 | 1662.3 | 1651.3 | 1663.27 | 1.0084 | 1.0067 | 1.0151 | 1.0151 | −0.1128 | 237.3 | 6.4 |
orn1 | 39.149 | 43.577 | 3 | M | 2432.9 | 2418.2 | 2,353 | 2401.37 | 1.0061 | 1.0277 | 1.0340 | 1.0362 | 0.6370 | 188.3 | 51.6 |
pay | 39.110 | 43.525 | 4 | M | 420.3 | 413.6 | 386.7 | 406.87 | 1.0162 | 1.0696 | 1.0869 | 1.0924 | 0.6143 | 206.2 | 10.6 |
yln2 | 39.120 | 43.462 | 5 | M | 893.7 | 878.4 | 867.9 | 880.00 | 1.0174 | 1.0121 | 1.0297 | 1.0299 | −0.1790 | 31.5 | 21.6 |
N: number of specimens, k 1, k 2, and k 3, maximum, intermediate, and minimum magnetic susceptibility, respectively, k m: mean susceptibility, L: magnetic lineation, F: magnetic foliation, P: anisotropy degree, P j: corrected anisotropy degree, T: shape parameter, D and I, Declination and inclination angles of k 1 axis, respectively (Q: Quaternary, Pl: Pliocene, M: Miocene).
The magnetic susceptibility (k) of an AMS sample is calculated using the equation “J = k × H,” where H is the applied field and J is the induced magnetization. The mean susceptibility (k m) is calculated by taking the average of the k 1, k 2, and k 3 axes (equation 2). Magnetic lineation (L) is developed when the k 1 axes of the particles are aligned parallel to the lava flow direction. One of the most known and used shape parameters for magnetic susceptibility ellipsoid is T, which takes values between −1 and 1. When T > 0, the shape of the ellipsoid is oblate, and if T < 0, the ellipsoid is prolate. To determine the shape of the AMS ellipsoid, magnetic foliation (F) versus magnetic lineation (L) is plotted. This chart is called the Flinn diagram
These parameters calculated as a result of the AMS method are used to define the flow direction of lava, whether it is volcanic or plutonic [9].
In this article, to determine the paleo-flow direction of Miocene-Quaternary aged lavas, AMS measurements were carried out on 58 different sites (a total of 357 volcanic samples) at the north of Lake Van. Volcanic samples were collected from 16 sites from Quaternary Girekol, Yüksektepe, and Karnıyarık lavas, 36 sites from Pliocene Etrüsk Volcano, and 6 sites from Miocene Aladağlar volcanic rocks (Figure 2).
Cylindrical core samples were drilled using a portable petrol-powered motorized drill with water cooling and guided in the field with a magnetic and solar compass. The geographic locations of each site were determined with a hand global positioning system instrument. Before conducting AMS measurements in the laboratory, volcanic core samples were cut into standard cylindrical samples (diameter 2.5 cm, height 2.2 cm) in the KANTEK Paleomagnetism Laboratory.
Miocene to Quaternary volcanic rocks’ magnetic susceptibilities were measured by using Bartington MS2B dual-frequency sensor located in Yılmaz İspir Paleomagnetism Laboratory, Geophysical Engineering Department, at Istanbul University-Cerrahpaşa. The analysis of the AMS data was performed using AMS-Bar software, which calculates the parameters related to AMS from the raw data measured by the Bartington Susceptibility Meter (MS2B). The samples were subjected to AMS measurements in 18 different orientations following standardized processes described by Jelínek [27].
Rock magnetic experiments such as isothermal remanent magnetization (IRM) and high-temperature susceptibility (HTS) measurements were performed on samples from at least one location representing each age group to identify the magnetic mineralogy. HTS measurements were acquired to determine the magnetic phase of the minerals using the Bartington MS2 susceptibility/temperature system with the Bartington MS2 susceptibility meter. The heating and cooling phases of the ground sample between room temperature (24°C) and 650°C were done. Also, stepwise acquisition curves of IRM were created using an ASC Pulse Magnetizer in the Yılmaz İspir Paleomagnetism Laboratory in Istanbul University-Cerrahpaşa up to 1T along the sample Z-axis.
4 Results and discussions
4.1 Magnetic mineralogy
IRM acquisition curves reflect different types of behaviors for the analyzed samples. The IRM curves of “pay,” “kek2,” and “tprk6” sites exhibit saturation in low-to-moderate coercivity phases below 0.3T (Figure 3a, c, and k). This corresponds to titanomagnetite, which has a low coercivity magnetic mineral. At the “hac1” site, the IRM curve requires a stronger field to reach saturation, which saturates at 0.5T (Figure 3e). A field stronger than 1T is required to saturate the IRM curves of “snty2” and “mur” sites (Figure 3g and i). This indicates that there may be a hematite component next to magnetite or titanomagnetite.


Representative IRM acquisition curves (a, c, e, g, i, and k) and HTS curves (b, d, f, h, j, and l).
HTS curves show that the most common magnetic mineral is titanomagnetite. In these curves, the Curie temperature is around 500–580°C (Figure 3b, d, and f). In Figure 3b, the heating and cooling curves are almost reversible. This result indicates that there is almost no alteration in the rock during the heating and cooling phase. At the same time, a decrease in susceptibility up to 200°C during the heating phase indicates that it is Ti-rich titanomagnetite (Figure 3b and d). Irreversible heating and cooling curves are observed in many of the samples (Figure 3d, f, h, j, and k). This shows that a significant degree of alteration occurred during the heating and cooling phases. The increase in susceptibility during the cooling phase can be explained by the growth of maghemite at high temperatures (Figure 3d).
The decrease in susceptibility during the cooling phase is due to the decomposition of titanomagnetite and its transformation into maghemite or hematite [10]. A small decrease is observed in the heating curves of some samples at around 400–450°C (Figure 3f, h, and j). This decrease in susceptibility indicates that Ti-rich titanomagnetite or maghemite may have transformed into hematite. Figure 3h, j, and l shows that the Curie temperature exceeds 580°C. This indicates further oxidation of the maghemite–hematite phases. The plot of sample “tprk6” in Figure 3l shows the heating curve significantly higher than the cooling curve, without any mineral phase change or alteration. In addition, rock magnetic properties of some of the samples used for AMS in this study were presented and interpreted in detail as IRM and HTS in the rock magnetism studies section of Kayın and İşseven [28].
4.2 AMS scalar results and discussions
The mean susceptibility values (k m) were between 377 × 10−6 SI and 2,808 × 10−6 SI, with most of the sites in the range of 500–1,500 (×10−6 SI) (Figure 4a). Considering these results, many of the volcanic rocks used in this study have relatively low k m values. This indicates that paramagnetic minerals predominate in the magnetic susceptibility of the mentioned samples. The shape parameter (T) values range from 0 to 1; only four sites have negative shape parameter (T) values (Figure 4b). These results point out that the magnetic ellipsoids are predominantly oblate. The graph of P j values shows that it is generally lower than 1.06, and there is an accumulation between 1.02 and 1.05 values (Figure 4c).

(a) Statistical distribution of the mean susceptibility (k m), (b) shape parameter (T), and (c) corrected anisotropy degree (P j) values of Miocene–Quaternary volcanic rocks.
Mean susceptibility (k m) − corrected anisotropy degree (P j) diagrams of all groups (Figure 5a) show no relationship between P j values and k m values, indicating that P j is independent of the magnetic carriers in the volcanic rocks used in this study. On the other hand, when the corrected anisotropy degree (P j) and foliation (F) parameters’ diagram is analyzed, it is seen that there is a positive correlation between these parameters (Figure 5b).

(a) Mean susceptibility (k m) – corrected anisotropy degree (P j) diagram and (b) corrected anisotropy degree (P j) – foliation (F) parameters diagram of all groups (red, white, green, and, blue dots represent Quaternary-aged Girekol, Quaternary aged Karnıyarık – Yüksektepe, Pliocene, and Miocene, respectively).
Flinn diagrams display the foliation (F = k 2/k 3) against lineation (L = k 1/k 2) showing that the AMS ellipsoids in the Pliocene and Quaternary volcanic rocks generally have oblate-triaxial shape. AMS ellipsoids of Miocene volcanic rocks are both oblate and prolate in shape (Figure 6a, d, g, and j). Moreover, when the graph of shape parameter (T) versus the corrected degree of anisotropy (P j) is analyzed, mostly positive values are seen, indicating an oblate shape (Figure 6b, e, h, and k). Figure 6c, f, i, and l show equal-area projections of AMS for k 1, k 2, and k 3 axis of the Miocene to Quaternary volcanic rocks of the north of Lake Van.

(a, d, g, and j) Flinn diagram of foliation (F = k 2/k 3) and lineation (L = k 1/k 2), (b, e, h, and k) plot of shape parameter (T) versus corrected anisotropy degree (P j), and (c, f, i and l) equal area projection of k 1, k 2 and k 3 axis of the Miocene-Quaternary volcanic rocks of the north of the Lake Van.
Figure 7 shows the rose diagram drawn from declination (D°) and inclination (I°) of the maximum susceptibility axis (k 1) as an indication of paleo-flow direction. As can be seen in Figure 7a, the paleo-flow in the Girekol volcanic rocks is distributed in all directions, predominantly NW–SE. Although there are few examples in the Karnıyarık and Yüksektepe volcanic rocks of the same age as the Girekol volcanic rocks in Figure 7b, it can be said that there is a complex paleo-flow in almost all directions. The reason for this is related to the fact that there is more than one volcanic center here. Also, the paleo-current direction of the Pliocene volcanic rocks seen in Figure 7c is almost radial in all directions originating from the Etrüsk volcano. The k 1 axis of the samples obtained from the Miocene-aged Aladağ volcanic rocks is roughly NNE-SSW oriented, indicating that the paleo-current direction of the Miocene volcanic rocks is roughly north-south (Figure 7d).

Rose diagrams drawn from the declination of k 1 axis show the paleo-flow directions for (a) Quaternary Girekol and (b) Quaternary Yüksektepe and Karnıyarık, (c) Pliocene and (d) Miocene aged volcanic rocks, respectively. N: sample number.
Mean values of AMS parameters of the Miocene–Quaternary aged volcanic rocks are analyzed, which shows that the mean lineation (L = k 1/k 2), foliation (F = k 2/k 3), anisotropy degree “P,” and corrected anisotropy degree “P j” parameters of the Miocene-aged rocks are larger than the Pliocene- and Quaternary-aged rocks (Table 2). Also, Pliocene-aged rocks are larger than the Quaternary-aged rocks. Besides, Quaternary-aged rock’s mean k m and T values are larger than the Miocene- and Pliocene-aged volcanic rocks. Mean k m values of Miocene-aged volcanic rocks are larger than k m value’s of Pliocene-aged volcanic rocks. While the average k m value of Miocene-aged rocks is larger than the average k m value of Pliocene aged rocks, the T parameter is small.
Ranges and mean values of AMS parameters of the Miocene to Quaternary volcanic rocks
Range | Mean | Range | Mean | Range | Mean | |
---|---|---|---|---|---|---|
L | F | k m | ||||
Quaternary | 1.0001–1.0128 | 1.0054 | 1.0144–1.0348 | 1.0251 | 615.77–2800.60 | 1717.94 |
Pliocene | 1.0000–1.0225 | 1.0094 | 1.0097–1.0560 | 1.0286 | 377.87–2808.30 | 975.01 |
Miocene | 1.0033–1.0174 | 1.0103 | 1.0067–1.0696 | 1.0308 | 406.87–2401.37 | 1278.15 |
P | Pj | T | ||||
Quaternary | 1.0182–1.0392 | 1.0329 | 1.0209–1.0418 | 1.0329 | 0.2787–0.9958 | 0.6554 |
Pliocene | 1.0238–1.0663 | 1.0383 | 1.0253–1.0717 | 1.0405 | −0.3064–0.9994 | 0.4964 |
Miocene | 1.0151–1.0869 | 1.0414 | 1.0151–1.0924 | 1.0439 | −0.1790–0.8360 | 0.3591 |
L: magnetic lineation, F: magnetic foliation, k m: mean susceptibility, P: anisotropy degree, P j: corrected anisotropy degree, T: shape parameter.
4.3 AMS vector results and discussions
Determining the dip angle of a volcanic rock and knowing whether it has occurred before or after the formation of the rock is very important for the interpretation of its paleomagnetic and rock magnetic properties, just as in AMS studies. It is very difficult to determine the dip angle in regions such as Eastern Anatolia, where 3/4 of its area is covered with volcanic rocks derived from different ages and sources. The fact that the inclination obtained from the data is slightly different from the expected and cannot be explained by topography may indicate that the volcanic rock was exposed to a tectonic event after its formation. In addition, irregularity of topography on the underlying surface, where lava flow occurs, can also cause unexpected differences in the measured principal ellipsoid axes in the AMS.
The scattering of information, such as the anisotropy axes obtained for a determined flow in the volcanic sequence, is not related to the quality of the data. This result points to significant local disturbances that occur during or after the cooling of the lava. Therefore, a large number of samples must be measured and evaluated to define a dominant flow direction within the studied volcanic sequence.
In this article, we present AMS results of the Miocene to Quaternary volcanic rocks from the north of Lake Van, Eastern Turkey. The AMS results of the Miocene volcanic rocks, lava flows from north to south, roughly (Figure 8).
![Figure 8
Paleo-flow directions of the Miocene-aged AMS sites. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].](/document/doi/10.1515/geo-2022-0605/asset/graphic/j_geo-2022-0605_fig_008.jpg)
Paleo-flow directions of the Miocene-aged AMS sites. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].
Also, Pliocene volcanic rocks located around the Etrüsk Volcano indicate the Etrüsk volcanic center as predicted in previous geochemical studies (Figure 9).
![Figure 9
Paleo-flow directions of the Pliocene-aged AMS sites. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].](/document/doi/10.1515/geo-2022-0605/asset/graphic/j_geo-2022-0605_fig_009.jpg)
Paleo-flow directions of the Pliocene-aged AMS sites. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].
There are multiple Quaternary volcanic centers (Figure 10) in the study area. These are the Girekol, Yüksektepe, and Karnıyarık volcanic centers. While the Girekol volcanic rocks are located in the northwest part of the area given in Figure 10, the Yüksektepe and Karnıyarık volcanic rocks are located roughly in the middle of the study area.
![Figure 10
Paleo-flow directions of the Quaternary-aged AMS sites. Red and white arrows represent Girekol and Yüksektepe & Karnıyarık volcanic rocks, respectively. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].](/document/doi/10.1515/geo-2022-0605/asset/graphic/j_geo-2022-0605_fig_010.jpg)
Paleo-flow directions of the Quaternary-aged AMS sites. Red and white arrows represent Girekol and Yüksektepe & Karnıyarık volcanic rocks, respectively. The map was created by using the Generic Mapping Tools software, version 5.1.1. [29].
5 Conclusions
The magnetic mineralogies of volcanic rocks of various ages and provenance in the study area were defined using rock magnetism studies such as IRM and HTS. As a result, the mineral responsible for magnetization is generally (titano) magnetite, which has a low to medium coercivity and a Curie temperature of 550–580°C. Furthermore, in addition to (titano) magnetite, the presence of hematite, which is not saturated even at 1T and has a Curie temperature of more than 600°C, is seen in some rocks.
The boundaries of the volcanic sequences derived from different ages and sources in the region have been determined by using geochemistry and petrology methods in previous studies [8,22,30,31]. In this study, we identified the paleo-flow directions of the related volcanic materials using the distribution of the k 1 axis of AMS ellipsoid to determine the paleo-flow directions of these volcanic products. Besides, we calculated different AMS parameters such as lineation (L), foliation (F), shape parameter (T), anisotropy degree (P), and corrected anisotropy degree (P j) and evaluated the relationships between them.
As a result, it has been determined that the paleo-flow direction of the Miocene-aged Aladağ volcanic rocks is roughly from north to south. In addition, the paleo-flow direction of Pliocene volcanic rocks, which are different aged products of the Etrüsk Volcano, spreads radially from the Etrüsk Volcano to almost every direction. Moreover, Pleistocene lavas were produced and distributed from at least three different volcanic centers (Girekol, Yüksektepe, and Karnıyarık) spread over large areas in the study area.
Although different ages and types of volcanic products derived from numerous centers are intertwined with each other, as the result of our AMS study, we identified different volcanic rocks and determined their paleo-flow directions. It can be seen from our results that magnetic lineations reflect the lava flow direction.
Acknowledgments
This research was funded by The Scientific and Technological Research Council of Turkey (TUBITAK) (grant number 115Y208) and Scientific Research Projects of Istanbul Technical University (grant number BAP-38661). The authors thank the administration of Istanbul University-Cerrahpaşa, Geophysical Engineering Department, Yılmaz İspir Paleomagnetism Laboratory for the use of the equipment in the laboratory.
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Author contributions: For research articles with several authors, a short paragraph specifying their individual contributions must be provided. The following statements should be used “Conceptualization, S.K. and T.İ.; methodology, S.K.; validation, S.K. and T.İ.; investigation, S. K. and T.İ.; data curation, S. K.; writing – original draft preparation, S.K. and T.İ.; writing – review and editing, S. K. and T.İ.; visualization, S. K.; supervision, T.İ.; project administration, T.İ.; funding acquisition, T.İ. All authors have read and agreed to the published version of the manuscript.”
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Conflict of interest: Authors state no conflict of interest.
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- Magnetic data interpretation: Implication for structure and hydrocarbon potentiality at Delta Wadi Diit, Southeastern Egypt
- Deeply buried clastic rock diagenesis evolution mechanism of Dongdaohaizi sag in the center of Junggar fault basin, Northwest China
- Application of LS-RAPID to simulate the motion of two contrasting landslides triggered by earthquakes
- The new insight of tectonic setting in Sunda–Banda transition zone using tomography seismic. Case study: 7.1 M deep earthquake 29 August 2023
- The critical role of c and φ in ensuring stability: A study on rockfill dams
- Evidence of late quaternary activity of the Weining-Shuicheng Fault in Guizhou, China
- Extreme hydroclimatic events and response of vegetation in the eastern QTP since 10 ka
- Spatial–temporal effect of sea–land gradient on landscape pattern and ecological risk in the coastal zone: A case study of Dalian City
- Study on the influence mechanism of land use on carbon storage under multiple scenarios: A case study of Wenzhou
- A new method for identifying reservoir fluid properties based on well logging data: A case study from PL block of Bohai Bay Basin, North China
- Comparison between thermal models across the Middle Magdalena Valley, Eastern Cordillera, and Eastern Llanos basins in Colombia
- Mineralogical and elemental analysis of Kazakh coals from three mines: Preliminary insights from mode of occurrence to environmental impacts
- Chlorite-induced porosity evolution in multi-source tight sandstone reservoirs: A case study of the Shaximiao Formation in western Sichuan Basin
- Predicting stability factors for rotational failures in earth slopes and embankments using artificial intelligence techniques
- Origin of Late Cretaceous A-type granitoids in South China: Response to the rollback and retreat of the Paleo-Pacific plate
- Modification of dolomitization on reservoir spaces in reef–shoal complex: A case study of Permian Changxing Formation, Sichuan Basin, SW China
- Geological characteristics of the Daduhe gold belt, western Sichuan, China: Implications for exploration
- Rock physics model for deep coal-bed methane reservoir based on equivalent medium theory: A case study of Carboniferous-Permian in Eastern Ordos Basin
- Enhancing the total-field magnetic anomaly using the normalized source strength
- Shear wave velocity profiling of Riyadh City, Saudi Arabia, utilizing the multi-channel analysis of surface waves method
- Effect of coal facies on pore structure heterogeneity of coal measures: Quantitative characterization and comparative study
- Inversion method of organic matter content of different types of soils in black soil area based on hyperspectral indices
- Detection of seepage zones in artificial levees: A case study at the Körös River, Hungary
- Tight sandstone fluid detection technology based on multi-wave seismic data
- Characteristics and control techniques of soft rock tunnel lining cracks in high geo-stress environments: Case study of Wushaoling tunnel group
- Influence of pore structure characteristics on the Permian Shan-1 reservoir in Longdong, Southwest Ordos Basin, China
- Study on sedimentary model of Shanxi Formation – Lower Shihezi Formation in Da 17 well area of Daniudi gas field, Ordos Basin
- Multi-scenario territorial spatial simulation and dynamic changes: A case study of Jilin Province in China from 1985 to 2030
- Review Articles
- Major ascidian species with negative impacts on bivalve aquaculture: Current knowledge and future research aims
- Prediction and assessment of meteorological drought in southwest China using long short-term memory model
- Communication
- Essential questions in earth and geosciences according to large language models
- Erratum
- Erratum to “Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan”
- Special Issue: Natural Resources and Environmental Risks: Towards a Sustainable Future - Part I
- Spatial-temporal and trend analysis of traffic accidents in AP Vojvodina (North Serbia)
- Exploring environmental awareness, knowledge, and safety: A comparative study among students in Montenegro and North Macedonia
- Determinants influencing tourists’ willingness to visit Türkiye – Impact of earthquake hazards on Serbian visitors’ preferences
- Application of remote sensing in monitoring land degradation: A case study of Stanari municipality (Bosnia and Herzegovina)
- Optimizing agricultural land use: A GIS-based assessment of suitability in the Sana River Basin, Bosnia and Herzegovina
- Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index
- Analysis of the intensity of erosive processes and state of vegetation cover in the zone of influence of the Kolubara Mining Basin
- GIS-based spatial modeling of landslide susceptibility using BWM-LSI: A case study – city of Smederevo (Serbia)
- Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologies
- Geosite assessment as the first step for the development of canyoning activities in North Montenegro
- Urban geoheritage and degradation risk assessment of the Sokograd fortress (Sokobanja, Eastern Serbia)
- Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia
- Understanding seismic hazard resilience in Montenegro: A qualitative analysis of community preparedness and response capabilities
- Forest soil CO2 emission in Quercus robur level II monitoring site
- Characterization of glomalin proteins in soil: A potential indicator of erosion intensity
- Power of Terroir: Case study of Grašac at the Fruška Gora wine region (North Serbia)
- Special Issue: Geospatial and Environmental Dynamics - Part I
- Qualitative insights into cultural heritage protection in Serbia: Addressing legal and institutional gaps for disaster risk resilience
Articles in the same Issue
- Regular Articles
- Theoretical magnetotelluric response of stratiform earth consisting of alternative homogeneous and transitional layers
- The research of common drought indexes for the application to the drought monitoring in the region of Jin Sha river
- Evolutionary game analysis of government, businesses, and consumers in high-standard farmland low-carbon construction
- On the use of low-frequency passive seismic as a direct hydrocarbon indicator: A case study at Banyubang oil field, Indonesia
- Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia
- Zircon U–Pb ages of the Paleozoic volcaniclastic strata in the Junggar Basin, NW China
- Monitoring of mangrove forests vegetation based on optical versus microwave data: A case study western coast of Saudi Arabia
- Microfacies analysis of marine shale: A case study of the shales of the Wufeng–Longmaxi formation in the western Chongqing, Sichuan Basin, China
- Multisource remote sensing image fusion processing in plateau seismic region feature information extraction and application analysis – An example of the Menyuan Ms6.9 earthquake on January 8, 2022
- Identification of magnetic mineralogy and paleo-flow direction of the Miocene-quaternary volcanic products in the north of Lake Van, Eastern Turkey
- Impact of fully rotating steel casing bored pile on adjacent tunnels
- Adolescents’ consumption intentions toward leisure tourism in high-risk leisure environments in riverine areas
- Petrogenesis of Jurassic granitic rocks in South China Block: Implications for events related to subduction of Paleo-Pacific plate
- Differences in urban daytime and night block vitality based on mobile phone signaling data: A case study of Kunming’s urban district
- Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan
- Integrated geophysical approach for detection and size-geometry characterization of a multiscale karst system in carbonate units, semiarid Brazil
- Spatial and temporal changes in ecosystem services value and analysis of driving factors in the Yangtze River Delta Region
- Deep fault sliding rates for Ka-Ping block of Xinjiang based on repeating earthquakes
- Improved deep learning segmentation of outdoor point clouds with different sampling strategies and using intensities
- Platform margin belt structure and sedimentation characteristics of Changxing Formation reefs on both sides of the Kaijiang-Liangping trough, eastern Sichuan Basin, China
- Enhancing attapulgite and cement-modified loess for effective landfill lining: A study on seepage prevention and Cu/Pb ion adsorption
- Flood risk assessment, a case study in an arid environment of Southeast Morocco
- Lower limits of physical properties and classification evaluation criteria of the tight reservoir in the Ahe Formation in the Dibei Area of the Kuqa depression
- Evaluation of Viaducts’ contribution to road network accessibility in the Yunnan–Guizhou area based on the node deletion method
- Permian tectonic switch of the southern Central Asian Orogenic Belt: Constraints from magmatism in the southern Alxa region, NW China
- Element geochemical differences in lower Cambrian black shales with hydrothermal sedimentation in the Yangtze block, South China
- Three-dimensional finite-memory quasi-Newton inversion of the magnetotelluric based on unstructured grids
- Obliquity-paced summer monsoon from the Shilou red clay section on the eastern Chinese Loess Plateau
- Classification and logging identification of reservoir space near the upper Ordovician pinch-out line in Tahe Oilfield
- Ultra-deep channel sand body target recognition method based on improved deep learning under UAV cluster
- New formula to determine flyrock distance on sedimentary rocks with low strength
- Assessing the ecological security of tourism in Northeast China
- Effective reservoir identification and sweet spot prediction in Chang 8 Member tight oil reservoirs in Huanjiang area, Ordos Basin
- Detecting heterogeneity of spatial accessibility to sports facilities for adolescents at fine scale: A case study in Changsha, China
- Effects of freeze–thaw cycles on soil nutrients by soft rock and sand remodeling
- Vibration prediction with a method based on the absorption property of blast-induced seismic waves: A case study
- A new look at the geodynamic development of the Ediacaran–early Cambrian forearc basalts of the Tannuola-Khamsara Island Arc (Central Asia, Russia): Conclusions from geological, geochemical, and Nd-isotope data
- Spatio-temporal analysis of the driving factors of urban land use expansion in China: A study of the Yangtze River Delta region
- Selection of Euler deconvolution solutions using the enhanced horizontal gradient and stable vertical differentiation
- Phase change of the Ordovician hydrocarbon in the Tarim Basin: A case study from the Halahatang–Shunbei area
- Using interpretative structure model and analytical network process for optimum site selection of airport locations in Delta Egypt
- Geochemistry of magnetite from Fe-skarn deposits along the central Loei Fold Belt, Thailand
- Functional typology of settlements in the Srem region, Serbia
- Hunger Games Search for the elucidation of gravity anomalies with application to geothermal energy investigations and volcanic activity studies
- Addressing incomplete tile phenomena in image tiling: Introducing the grid six-intersection model
- Evaluation and control model for resilience of water resource building system based on fuzzy comprehensive evaluation method and its application
- MIF and AHP methods for delineation of groundwater potential zones using remote sensing and GIS techniques in Tirunelveli, Tenkasi District, India
- New database for the estimation of dynamic coefficient of friction of snow
- Measuring urban growth dynamics: A study in Hue city, Vietnam
- Comparative models of support-vector machine, multilayer perceptron, and decision tree predication approaches for landslide susceptibility analysis
- Experimental study on the influence of clay content on the shear strength of silty soil and mechanism analysis
- Geosite assessment as a contribution to the sustainable development of Babušnica, Serbia
- Using fuzzy analytical hierarchy process for road transportation services management based on remote sensing and GIS technology
- Accumulation mechanism of multi-type unconventional oil and gas reservoirs in Northern China: Taking Hari Sag of the Yin’e Basin as an example
- TOC prediction of source rocks based on the convolutional neural network and logging curves – A case study of Pinghu Formation in Xihu Sag
- A method for fast detection of wind farms from remote sensing images using deep learning and geospatial analysis
- Spatial distribution and driving factors of karst rocky desertification in Southwest China based on GIS and geodetector
- Physicochemical and mineralogical composition studies of clays from Share and Tshonga areas, Northern Bida Basin, Nigeria: Implications for Geophagia
- Geochemical sedimentary records of eutrophication and environmental change in Chaohu Lake, East China
- Research progress of freeze–thaw rock using bibliometric analysis
- Mixed irrigation affects the composition and diversity of the soil bacterial community
- Examining the swelling potential of cohesive soils with high plasticity according to their index properties using GIS
- Geological genesis and identification of high-porosity and low-permeability sandstones in the Cretaceous Bashkirchik Formation, northern Tarim Basin
- Usability of PPGIS tools exemplified by geodiscussion – a tool for public participation in shaping public space
- Efficient development technology of Upper Paleozoic Lower Shihezi tight sandstone gas reservoir in northeastern Ordos Basin
- Assessment of soil resources of agricultural landscapes in Turkestan region of the Republic of Kazakhstan based on agrochemical indexes
- Evaluating the impact of DEM interpolation algorithms on relief index for soil resource management
- Petrogenetic relationship between plutonic and subvolcanic rocks in the Jurassic Shuikoushan complex, South China
- A novel workflow for shale lithology identification – A case study in the Gulong Depression, Songliao Basin, China
- Characteristics and main controlling factors of dolomite reservoirs in Fei-3 Member of Feixianguan Formation of Lower Triassic, Puguang area
- Impact of high-speed railway network on county-level accessibility and economic linkage in Jiangxi Province, China: A spatio-temporal data analysis
- Estimation model of wild fractional vegetation cover based on RGB vegetation index and its application
- Lithofacies, petrography, and geochemistry of the Lamphun oceanic plate stratigraphy: As a record of the subduction history of Paleo-Tethys in Chiang Mai-Chiang Rai Suture Zone of Thailand
- Structural features and tectonic activity of the Weihe Fault, central China
- Application of the wavelet transform and Hilbert–Huang transform in stratigraphic sequence division of Jurassic Shaximiao Formation in Southwest Sichuan Basin
- Structural detachment influences the shale gas preservation in the Wufeng-Longmaxi Formation, Northern Guizhou Province
- Distribution law of Chang 7 Member tight oil in the western Ordos Basin based on geological, logging and numerical simulation techniques
- Evaluation of alteration in the geothermal province west of Cappadocia, Türkiye: Mineralogical, petrographical, geochemical, and remote sensing data
- Numerical modeling of site response at large strains with simplified nonlinear models: Application to Lotung seismic array
- Quantitative characterization of granite failure intensity under dynamic disturbance from energy standpoint
- Characteristics of debris flow dynamics and prediction of the hazardous area in Bangou Village, Yanqing District, Beijing, China
- Rockfall mapping and susceptibility evaluation based on UAV high-resolution imagery and support vector machine method
- Statistical comparison analysis of different real-time kinematic methods for the development of photogrammetric products: CORS-RTK, CORS-RTK + PPK, RTK-DRTK2, and RTK + DRTK2 + GCP
- Hydrogeological mapping of fracture networks using earth observation data to improve rainfall–runoff modeling in arid mountains, Saudi Arabia
- Petrography and geochemistry of pegmatite and leucogranite of Ntega-Marangara area, Burundi, in relation to rare metal mineralisation
- Prediction of formation fracture pressure based on reinforcement learning and XGBoost
- Hazard zonation for potential earthquake-induced landslide in the eastern East Kunlun fault zone
- Monitoring water infiltration in multiple layers of sandstone coal mining model with cracks using ERT
- Study of the patterns of ice lake variation and the factors influencing these changes in the western Nyingchi area
- Productive conservation at the landslide prone area under the threat of rapid land cover changes
- Sedimentary processes and patterns in deposits corresponding to freshwater lake-facies of hyperpycnal flow – An experimental study based on flume depositional simulations
- Study on time-dependent injectability evaluation of mudstone considering the self-healing effect
- Detection of objects with diverse geometric shapes in GPR images using deep-learning methods
- Behavior of trace metals in sedimentary cores from marine and lacustrine environments in Algeria
- Spatiotemporal variation pattern and spatial coupling relationship between NDVI and LST in Mu Us Sandy Land
- Formation mechanism and oil-bearing properties of gravity flow sand body of Chang 63 sub-member of Yanchang Formation in Huaqing area, Ordos Basin
- Diagenesis of marine-continental transitional shale from the Upper Permian Longtan Formation in southern Sichuan Basin, China
- Vertical high-velocity structures and seismic activity in western Shandong Rise, China: Case study inspired by double-difference seismic tomography
- Spatial coupling relationship between metamorphic core complex and gold deposits: Constraints from geophysical electromagnetics
- Disparities in the geospatial allocation of public facilities from the perspective of living circles
- Research on spatial correlation structure of war heritage based on field theory. A case study of Jinzhai County, China
- Formation mechanisms of Qiaoba-Zhongdu Danxia landforms in southwestern Sichuan Province, China
- Magnetic data interpretation: Implication for structure and hydrocarbon potentiality at Delta Wadi Diit, Southeastern Egypt
- Deeply buried clastic rock diagenesis evolution mechanism of Dongdaohaizi sag in the center of Junggar fault basin, Northwest China
- Application of LS-RAPID to simulate the motion of two contrasting landslides triggered by earthquakes
- The new insight of tectonic setting in Sunda–Banda transition zone using tomography seismic. Case study: 7.1 M deep earthquake 29 August 2023
- The critical role of c and φ in ensuring stability: A study on rockfill dams
- Evidence of late quaternary activity of the Weining-Shuicheng Fault in Guizhou, China
- Extreme hydroclimatic events and response of vegetation in the eastern QTP since 10 ka
- Spatial–temporal effect of sea–land gradient on landscape pattern and ecological risk in the coastal zone: A case study of Dalian City
- Study on the influence mechanism of land use on carbon storage under multiple scenarios: A case study of Wenzhou
- A new method for identifying reservoir fluid properties based on well logging data: A case study from PL block of Bohai Bay Basin, North China
- Comparison between thermal models across the Middle Magdalena Valley, Eastern Cordillera, and Eastern Llanos basins in Colombia
- Mineralogical and elemental analysis of Kazakh coals from three mines: Preliminary insights from mode of occurrence to environmental impacts
- Chlorite-induced porosity evolution in multi-source tight sandstone reservoirs: A case study of the Shaximiao Formation in western Sichuan Basin
- Predicting stability factors for rotational failures in earth slopes and embankments using artificial intelligence techniques
- Origin of Late Cretaceous A-type granitoids in South China: Response to the rollback and retreat of the Paleo-Pacific plate
- Modification of dolomitization on reservoir spaces in reef–shoal complex: A case study of Permian Changxing Formation, Sichuan Basin, SW China
- Geological characteristics of the Daduhe gold belt, western Sichuan, China: Implications for exploration
- Rock physics model for deep coal-bed methane reservoir based on equivalent medium theory: A case study of Carboniferous-Permian in Eastern Ordos Basin
- Enhancing the total-field magnetic anomaly using the normalized source strength
- Shear wave velocity profiling of Riyadh City, Saudi Arabia, utilizing the multi-channel analysis of surface waves method
- Effect of coal facies on pore structure heterogeneity of coal measures: Quantitative characterization and comparative study
- Inversion method of organic matter content of different types of soils in black soil area based on hyperspectral indices
- Detection of seepage zones in artificial levees: A case study at the Körös River, Hungary
- Tight sandstone fluid detection technology based on multi-wave seismic data
- Characteristics and control techniques of soft rock tunnel lining cracks in high geo-stress environments: Case study of Wushaoling tunnel group
- Influence of pore structure characteristics on the Permian Shan-1 reservoir in Longdong, Southwest Ordos Basin, China
- Study on sedimentary model of Shanxi Formation – Lower Shihezi Formation in Da 17 well area of Daniudi gas field, Ordos Basin
- Multi-scenario territorial spatial simulation and dynamic changes: A case study of Jilin Province in China from 1985 to 2030
- Review Articles
- Major ascidian species with negative impacts on bivalve aquaculture: Current knowledge and future research aims
- Prediction and assessment of meteorological drought in southwest China using long short-term memory model
- Communication
- Essential questions in earth and geosciences according to large language models
- Erratum
- Erratum to “Random forest and artificial neural network-based tsunami forests classification using data fusion of Sentinel-2 and Airbus Vision-1 satellites: A case study of Garhi Chandan, Pakistan”
- Special Issue: Natural Resources and Environmental Risks: Towards a Sustainable Future - Part I
- Spatial-temporal and trend analysis of traffic accidents in AP Vojvodina (North Serbia)
- Exploring environmental awareness, knowledge, and safety: A comparative study among students in Montenegro and North Macedonia
- Determinants influencing tourists’ willingness to visit Türkiye – Impact of earthquake hazards on Serbian visitors’ preferences
- Application of remote sensing in monitoring land degradation: A case study of Stanari municipality (Bosnia and Herzegovina)
- Optimizing agricultural land use: A GIS-based assessment of suitability in the Sana River Basin, Bosnia and Herzegovina
- Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index
- Analysis of the intensity of erosive processes and state of vegetation cover in the zone of influence of the Kolubara Mining Basin
- GIS-based spatial modeling of landslide susceptibility using BWM-LSI: A case study – city of Smederevo (Serbia)
- Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologies
- Geosite assessment as the first step for the development of canyoning activities in North Montenegro
- Urban geoheritage and degradation risk assessment of the Sokograd fortress (Sokobanja, Eastern Serbia)
- Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia
- Understanding seismic hazard resilience in Montenegro: A qualitative analysis of community preparedness and response capabilities
- Forest soil CO2 emission in Quercus robur level II monitoring site
- Characterization of glomalin proteins in soil: A potential indicator of erosion intensity
- Power of Terroir: Case study of Grašac at the Fruška Gora wine region (North Serbia)
- Special Issue: Geospatial and Environmental Dynamics - Part I
- Qualitative insights into cultural heritage protection in Serbia: Addressing legal and institutional gaps for disaster risk resilience