Acta Geophysica最新文献

{"title":"Probabilistic seismic hazard assessment associated with induced seismicity at geothermal sites in the Upper Rhine Graben (Southern Germany)","authors":"Aida Azari Sisi,&nbsp;Manuel Hobiger,&nbsp;Thomas Spies,&nbsp;Andreas Steinberg","doi":"10.1007/s11600-024-01499-w","DOIUrl":"10.1007/s11600-024-01499-w","url":null,"abstract":"<div><p>The extraction of geothermal energy is associated with induced seismicity. Depending on the extraction parameters, such as injection pressure and volume, the induced seismicity is time-dependent. We investigate the case of the two geothermal power plants of Insheim and Landau, which are located in the Upper Rhine Graben in Southwest Germany. The induced seismicity was observed by a local seismic network consisting of a total of 19 stations, resulting in an earthquake catalog comprising 930 events for the Landau reservoir and 1985 events for the Insheim reservoir, both between 2012 and 2022. Based on this earthquake catalog, seismic source areas are defined for both reservoirs, and a probabilistic seismic hazard assessment (PSHA) is performed. Using temporal subsets of the earthquake catalog, PSHA can also be performed for shorter time ranges, resulting in larger expected PGV values in times of higher induced seismicity. The seismic velocity profiles obtained by site effect studies based on ambient seismic noise measurements highlight relatively large variations of the site effects on short scales in the area. The consequences of these lateral variations on the seismic hazard assessment are also discussed.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 1","pages":"577 - 592"},"PeriodicalIF":2.3,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11600-024-01499-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic hazard assessment of Agartala agglomeration based on 1D nonlinear ground response analysis and empirically derived liquefaction susceptibility","authors":"Rajat Debnatha,&nbsp;Rima Das,&nbsp;Rahul Kumar,&nbsp;Rajib Saha","doi":"10.1007/s11600-024-01502-4","DOIUrl":"10.1007/s11600-024-01502-4","url":null,"abstract":"<div><p>Local site conditions recognized as a determining factor in assessing the extent of seismic hazard and damage distribution during earthquakes. Present study emphasizes seismic hazard of international business corridor of Agartala town capital of Tripura, one of the northeastern state of India categorized as highest seismic zone (zone V) attributing seismic response of local subsoil deposits under site-specific scenario earthquake motions including liquefaction susceptibility prediction. One-dimensional nonlinear ground response analysis with input of geotechnical parameters was carried using DEEPSOIL (2018) program across central zone of Agartala city and liquefaction susceptibility analysis are performed based on standard penetration test (SPT) utilizing well-established empirical relationship. The novelty of results lies in use of site-specific dynamic parameters of subsoil and synthetic ground motions based on scenario earthquake. Besides, numerical model was validated with a recent past liquefaction case study in Tripura which also attributes key highlight of this study. Key seismic hazard parameters in the form of peak ground acceleration (PGA), amplification factor (<i>A</i>_<i>f</i>), and predominant frequencies (<i>f</i>_<i>n</i>) are presented through geographical information based spatial maps. These maps provide crucial inputs for planners and designers for future urban planning along with seismic strengthening of existing infrastructures. This comprehensive approach offers new perspectives on seismic hazard assessment and future management plan in this region.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2181 - 2215"},"PeriodicalIF":2.3,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint application of seismic multi-attribute in multi-scale fracture prediction of LZ shale gas block, Sichuan Basin, China","authors":"Qinghui Xie,&nbsp;Chuanjin Li,&nbsp;Guozhou Chen,&nbsp;Shoujun Guan,&nbsp;Zhifeng Rui,&nbsp;Junqin Wang","doi":"10.1007/s11600-024-01516-y","DOIUrl":"10.1007/s11600-024-01516-y","url":null,"abstract":"<div><p>The fractures that develop in the Sichuan Basin exhibit multiple characteristics, including various stages, scales, types, and strike directions. Due to the varying impacts of fractures on shale gas storage, migration, development, fracturing, and construction, it is crucial to provide a detailed characterization of the multi-scale fractures. A combination of three post-stack seismic attributes was initially used to predict fractures: the variance, the maximum curvature, and the ant tracking based on generalized S-transform spectrum analysis. Subsequently, the detected fractures were divided into distinct scales by establishing appropriate sub-scale thresholds for the ant tracking value. The study reached two conclusions. Firstly, ant tracking based on generalized S-transform spectrum analysis can identify smaller-scale fractures more effectively than the traditional ant tracking methods. Secondly, combining these attributes establishes a fracture prediction method that progressively enhances accuracy, transitioning from large to small scales. For the combined seismic attributes, the study conducted sub-scale fracture predictions for the Longmaxi–Wufeng Formation in the LZ shale gas block, obtaining three scales of fracture prediction results that provide a robust data foundation for subsequent stages of fracture modeling and shale gas development.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2423 - 2442"},"PeriodicalIF":2.3,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of climate change in Upper Jhelum Sub-catchment, India, using nonparametric methods and random forest model","authors":"Rayees Ali,&nbsp;Haroon Sajjad,&nbsp;Tamal Kanti Saha,&nbsp;Md Hibjur Rahaman,&nbsp;Md Masroor,&nbsp; Roshani,&nbsp;Aastha Sharma","doi":"10.1007/s11600-024-01505-1","DOIUrl":"10.1007/s11600-024-01505-1","url":null,"abstract":"<div><p>This study examines the present and the future trend in rainfall and temperature in the Upper Jhelum Sub-catchment located in the northwestern Himalayas in India. We used gridded rainfall and temperature data obtained from the India Meteorological Department from 1972 to 2022. Mann–Kendall test and Sen’s slope estimator were utilized to evaluate the trend and quantify changes in the pattern of rainfall and temperature variables. The random forest model was utilized to forecast rainfall and temperature (2023–2047). The accuracy of the model was assessed using performance assessors. The results revealed an annual increasing trend in temperature at the rate of 0.0096 (°C/year) and decreasing trend in rainfall at the rate of − 2.2061 (mm/year) during the pre-monsoon and − 0.8676 (mm/year) during the post-monsoon seasons. A decreasing trend in maximum temperature was recorded during the monsoon and post-monsoon seasons at the rate of − 0.0056 and − 0.0134 (°C/year), respectively. The forecast analysis revealed decreasing trend in the rainfall at the rate of − 0.9256 and − 0.03961 (mm/year) during pre-monsoon and post-monsoon seasons, respectively, while increase in minimum temperature at the rate of 0.0714 , 0.0134 and 0.006 (°C/year) during the pre-monsoon, winter and monsoon seasons, respectively. The random forest model was found effective for forecast analysis of rainfall and temperature variables. The methodological framework utilized in this study may be replicated in other geographical regions for examining climate change.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2987 - 3006"},"PeriodicalIF":2.3,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the recent regional stress field of Erzincan Basin (Türkiye) and its surroundings using small to moderate earthquakes","authors":"Fahriye Akar,&nbsp;Nihan Hoskan","doi":"10.1007/s11600-024-01509-x","DOIUrl":"10.1007/s11600-024-01509-x","url":null,"abstract":"<div><p>The Erzincan Basin is one of the most actively deforming geologic features in Eastern Anatolia owing to the high seismic activity taking place in the surrounding area. In the last century, the 1939 Mw = 7.9 and the 1992 Mw = 6.8 earthquakes are the two largest events that devastated the city of Erzincan caused the loss of more than 33,000 and 600 lives, respectively. This study analyzes the seismicity in the vicinity of the Basin. The main trace of the North Anatolian Fault Zone (NAFZ) crossing the Erzincan Basin reveals relatively lower seismicity pattern in terms of small earthquakes. On the contrary, remarkable off-fault seismic activity occurs along the secondary segments. The segments located to the south of NAFZ are striking at high angles to the main trace. The potential of the secondary faults to generate Mw = 6.0 earthquakes was revealed by the 2003 Pülümür earthquakes, pointing out their significant contribution in shaping the Erzincan Basin. The fault segment ruptured by the Pülümür event is located to the east of the subparallel Ovacık fault showing left-lateral strike-slip sense of motion. Similar seismic lineaments exist to the west of the Ovacık fault. All these secondary segments are laying to the south of the NAFZ main trace. In this study, the stress tensor analysis of the Erzincan Basin was conducted using the azimuths and plunges of the P- and T-axes obtained from the focal mechanism solutions of the earthquakes that occurred in the region. The focal mechanisms of the events around those segments have <i>P</i>- and <i>T</i>-axes oriented close to N–S and E–W, respectively. On the contrary, to the north of NAFZ prominent seismic activity takes place only along a segment striking almost E–W accommodating events mostly showing right-lateral strike-slip faulting. These facts indicate a complex stress field acting around the Erzincan Basin.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2217 - 2227"},"PeriodicalIF":2.3,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling of Moho depths and crustal composition in the Aravalli (Rajasthan) Craton, north-west India","authors":"Raju Prathigadapa,&nbsp;Prantik Mandal,&nbsp;Satish Saha,&nbsp;Rahul Biswas","doi":"10.1007/s11600-024-01508-y","DOIUrl":"10.1007/s11600-024-01508-y","url":null,"abstract":"<div><p>Between 2022 and 2024, a 330-km-long NE-SW trending profile of ten three-component broadband seismographs has been deployed by the CSIR-NGRI, Hyderabad, in Rajasthan (India), to estimate Moho depths and crustal Vp/Vs ratios using H–K stacking of radial P-receiver functions. The modelled Moho depths range from (34.3 ± 2.50) km at SPRA [24.87°N, 74.21°E] to (43.1 ± 2.54) km at DBKR [25.60°N, 74.96°E]. Additionally, the typical values of crustal Vp/Vs range from (1.61 ± 0.04) at DNGT [26.37°N, 75.78°E] to (1.81 ± 0.05) at SPRA. The region’s average crustal thickness is (39.8 ± 2.5) km, similar to the global average for the early and middle Archean crust. Additionally, the region’s average crustal Vp/Vs ratio is 1.73 ± 0.07, indicating a felsic to intermediate composition. The Moho depths obtained from the analysis, depth migration, H–K, and Common Conversion Point (CCP) stacking of radial PRFs show a high level of agreement. Based on the results of our modelling, we can conclude that the crust beneath the northern Alluvium part of our broadband seismic network is mostly felsic, as evidenced by modelled crustal Vp/Vs ratios ranging from 1.61 to 1.77 with a mean of (1.67 ± 0.07). This contrasts with the southern portion of the profile, which has modelled crustal Vp/Vs ratios ranging from 1.74 to 1.81 with a mean of (1.78 ± 0.03). Our modelling shows a major crustal up-warping in the NE-SW direction, with a depth of 4–9 km below the region over a length of about 200–300 km. The observed crustal undulation could be linked to the Indian plate’s buckling or folding at the crustal level, which most likely occurred as a result of the Indian-Eurasian plate collision roughly 50 million years ago.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2171 - 2180"},"PeriodicalIF":2.3,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the movable fluid saturation and its influencing factors in the tight sandstones of the Sangonghe Formation, Junggar Basin","authors":"Na Zhang,&nbsp;Huayao Wang,&nbsp;Shuaidong Wang,&nbsp;Xiaoming Sun,&nbsp;Manchao He","doi":"10.1007/s11600-024-01513-1","DOIUrl":"10.1007/s11600-024-01513-1","url":null,"abstract":"<div><p>Movable fluid saturation is a key parameter for describing the reservoir capacity of tight sandstones, and clarifying its influencing factors is essential for understanding the occurrence of movable fluid in such formations. This study focuses on the reservoir of the Sangonghe Formation in the Junggar Basin, China. Using nuclear magnetic resonance (NMR) test, the movable fluid saturation of tight sandstone samples in the study area was quantitatively characterized. Additionally, qualitative and quantitative analyses of mineral composition, pore types and morphology, and pore throat distribution were conducted through X-ray diffraction (X-RD) test, scanning electron microscopy (SEM) test, and high-pressure mercury intrusion (MICP) test. Based on these analyses, the relationships between various parameters and movable fluid saturation were investigated, and the influencing factors were discussed from the perspective of microscopic pore structure. The results indicate that the tight sandstones in the study area can be classified into four categories based on displacement pressure and pore throat size. Each type exhibits significant differences in movable fluid saturation, which can be attributed to factors such as diagenesis, clay minerals, pore shape, pore throat distribution and connectivity, and pore throat sorting. Specifically, the degree of mineral dissolution, the content of ellipsoidal (oblate) pores, pore throat connectivity, pore throat sorting coefficients, and permeability show positive correlations with movable fluid saturation. In contrast, mechanical compaction, cementation, and the content of illite, illite–smectite mixed layers, and chlorite are negatively correlated with movable fluid saturation. The content of kaolinite, porosity, and pore volume show no significant correlation with movable fluid saturation.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2407 - 2421"},"PeriodicalIF":2.3,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tight sandstone reservoir classification based on 1DCNN-BLSTM with conventional logging data","authors":"Yuexiang Wang,&nbsp;Mingzhi Cui,&nbsp;Bing Xie,&nbsp;Quan Li,&nbsp;Xu Li,&nbsp;Youbin Wu,&nbsp;Ranhong Xie,&nbsp;Jiangfeng Guo","doi":"10.1007/s11600-024-01506-0","DOIUrl":"10.1007/s11600-024-01506-0","url":null,"abstract":"<div><p>Machine learning-based reservoir classification method is the development trend of intelligent exploration. In this study, a classification model, one-dimensional convolutional neural network-bidirectional long short-term memory (1DCNN-BLSTM), was developed based on conventional logging data to classify tight sandstone reservoirs. The model utilizes 1DCNN to extract spatial features from conventional logging curves, and it can effectively capture the pattern and regularity of the logging data. In additional, BLSTM neural network was employed to learn the temporal features of logging curves from the upper and lower layers. This network is capable of capturing dependencies within sequences and considers the trends of the logging curves in the lower and upper layers for reservoir type prediction. The efficacy of the proposed method was verified by comparing the classification outcomes of the BLSTM method, in tight sandstone reservoirs in the Shaximiao Formation, Sichuan Basin, as an example. Firstly, a fuzzy C-means clustering algorithm was applied to establish reservoir classification criteria based on high-pressure mercury intrusion data. Reservoir classification labels for sampling points of conventional logging data were generated, and the initial dataset was formed. To avoid the imbalanced classification in the initial dataset, a comprehensive sampling method, named as SMOTE-Tomek, was employed to preprocess the dataset and to ensure a relatively balanced quantity of samples in each class. A training set was randomly generated from 90% preprocessed dataset, and the rest was a test set. The model was trained several times, and the accuracy of the test set classification results was averaged to evaluate its performance. Finally, the field logging data were processed with the BLSTM model and the 1DCNN-BLSTM model to classify reservoirs. The results indicate that the reservoir classification results are more accurate with the 1DCNN-BLSTM model than with the BLSTM model.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2373 - 2389"},"PeriodicalIF":2.3,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seismic-based workflow for multi-scale and multi-stage fracture characterization in the Longmaxi Formation, Weiyuan Gas Field, Sichuan Basin","authors":"Guanyu Zhang,&nbsp;Xuri Huang,&nbsp;Lei Wu,&nbsp;Xiaohui Huang,&nbsp;Yungui Xu,&nbsp;Haotian Wu,&nbsp;Shuhang Tang","doi":"10.1007/s11600-024-01503-3","DOIUrl":"10.1007/s11600-024-01503-3","url":null,"abstract":"<div><p>The Longmaxi Formation shale in the Weiyuan Gas Field of the Sichuan Basin has undergone multiple tectonic movements, resulting in fractures of various scales and stages. Characterizing fractures in shale reservoirs is critical for shale gas development and presents a challenge. We propose a workflow based on seismic data that incorporates multi-scale and multi-stage fracture characterization. First, a multi-scale fracture classification is established based on seismic forward modeling. Then, steerable pyramid processing is deployed for multi-scale decomposition of seismic data. Multi-scale fracture characterization is achieved by extracting various seismic attributes from the processed data on different scales. Finally, the fractures of each tectonic stage are characterized using a strike-constrained method and validated using drilling data. The results of field study indicate that fractures can be quantitatively classified into large-, medium-, and small-scale fractures based on their seismic response characteristics. These multi-scale fractures can be identified at different scales using various seismic attributes. The Weiyuan region has experienced four main episodes of tectonic movements, with four corresponding stages of fracturing. The fractures of the Himalayan period have had the most pronounced impact on gas production. The proposed workflow provides technical support for efficient development of shale reservoirs.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2391 - 2406"},"PeriodicalIF":2.3,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative multi-model analysis of river pollutant transport: advancing predictive capabilities through transient storage dynamics and fractional calculus approaches","authors":"Jafar Chabokpour","doi":"10.1007/s11600-024-01496-z","DOIUrl":"10.1007/s11600-024-01496-z","url":null,"abstract":"<div><p>This paper discusses the detailed analysis of pollutant transport in river systems by considering multiple modeling approaches in an attempt to explain the complex dynamics governing contaminant fate and movement. Comparisons were made for the performance of the advection–dispersion equation, the transient storage model, the aggregated dead zone model, continuously stirred tank reactors in series, and the fractional advection–dispersion equation based on data from a conducted tracer experiment on Conococheague Creek. The best performance among models yielded a root mean square error of 1.56 ppm at the lowest and an <i>R</i>² of 0.982, based on six monitoring stations spanning a length of 33.86 km, from the transient storage model (TSM). The reach-specific analysis gave an exchange coefficient from 0.28 to 0.18 h⁻¹ along the river course, while the relative storage zone size increased from initially a value of 0.15 to an increase of 0.22 before dropping again to 0.17 in the last reach. It was found that the advective velocity was the most influential parameter, having a Sobol first-order index of 0.512, followed by the dispersion coefficient at 0.283. Moment analysis returned an average velocity of 0.69 km/h and a dispersion coefficient of 0.41 km²/h for the entire reach. Dimensional analysis involved developing empirical equations, in which the <i>R</i>² value ranged from 0.79 to 0.93 for the estimation of the parameters. These findings underline the role of transient storage processes and non-Fickian dispersion that is necessary for making an accurate prediction of pollutant transport.</p></div>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"73 3","pages":"2835 - 2849"},"PeriodicalIF":2.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}