{"title":"Optimization of wave breaking criterion for Boussinesq-type model on coral reef terrain based ON BP neural network","authors":"Shanju Zhang , Xu Yao , Jian Chen","doi":"10.1016/j.pce.2025.104108","DOIUrl":"10.1016/j.pce.2025.104108","url":null,"abstract":"<div><div>Wave breaking on coral reefs, characterized by steep fore-reef slopes, poses a significant challenge for Boussinesq-type models, as conventional breaking criteria often fail. While machine learning is increasingly applied to predict specific outputs like wave height, this study introduces a more fundamental methodology by optimizing the model's internal breaking criterion (<span><math><mrow><msub><mi>γ</mi><mi>b</mi></msub></mrow></math></span>). This approach enhances the model's core physics, enabling a more robust and physically realistic simulation of the entire wave transformation process. This study introduces a novel approach to dynamically predict the breaking criterion for the FUNWAVE-TVD model by employing a back-propagation (BP) neural network. The network was trained on a dataset generated from 66 high-resolution numerical simulations using the FUNWAVE-TVD model. Five key parameters—offshore water depth (<em>h</em>), incident wave height (<em>H</em><sub><em>0</em></sub>), wave period (<em>T</em>), reef flat water depth (<em>h</em><sub><em>r</em></sub>), and fore-reef slope (<span><math><mrow><mi>tan</mi><mspace></mspace><mi>α</mi></mrow></math></span>)—were used as inputs to predict the optimal <span><math><mrow><msub><mi>γ</mi><mi>b</mi></msub></mrow></math></span> value.Validation across four distinct experimental scenarios demonstrates that this method significantly improves simulation accuracy, with the goodness-of-fit (<em>R</em><sup>2</sup>) increasing from an average of 0.63–0.87. This refined approach not only enhances the simulation of wave breaking over complex topographies but also provides a novel technical pathway to support safety assessments in island reef engineering.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104108"},"PeriodicalIF":4.1,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nirandoal Cheng , Mohd Ashraf Mohamad Ismail , Nordiana Mohd Muztaza , Fatin Nadhirah Ahmad Pauzi , Muhammad Taqiuddin Zakaria , Yasuhiro Yokota
{"title":"From 2-D seismic refraction to 3-D subsurface characterization: Unpacking the role of univariate spatial interpolation techniques with borehole validation","authors":"Nirandoal Cheng , Mohd Ashraf Mohamad Ismail , Nordiana Mohd Muztaza , Fatin Nadhirah Ahmad Pauzi , Muhammad Taqiuddin Zakaria , Yasuhiro Yokota","doi":"10.1016/j.pce.2025.104113","DOIUrl":"10.1016/j.pce.2025.104113","url":null,"abstract":"<div><div>This study evaluates the accuracy of three spatial interpolation methods IDW-Anisotropic, IDW-Isotropic, and Closest Point in generating 3-D geological models from 2-D seismic refraction data, validated against borehole lithology and SPT N-values. Conducted at a site underlain by granitic formations and residual soils, the analysis aimed to determine the most reliable method for representing subsurface heterogeneity. Statistical assessment revealed that IDW-Anisotropic provided the best performance, with a mean velocity of 1649.45 m/s and standard deviation of 1429.76 m/s. Its model exhibited a right-skewed distribution (skewness = 1.23653) and leptokurtic nature (kurtosis = 1.02792), effectively capturing sharp velocity transitions associated with stratigraphic boundaries. In comparison, IDW-Isotropic showed lower variability (SD = 471.72 m/s), negative skewness (−0.58528), and high kurtosis (2.80095), resulting in over-smoothed subsurface representations. The Closest Point method yielded the highest mean velocity (3041.85 m/s) but exaggerated high-velocity zones, leading to inconsistent layer delineation. Validation with borehole data confirmed that IDW-Anisotropic most accurately aligned with lithological changes, particularly at depths where seismic velocities exceeded 2400 m/s, indicating the transition to unweathered granite. The findings show that directional interpolation significantly enhances the reliability of geophysical modelling in complex tropical weathering environments, providing critical support for geotechnical and subsurface decision-making.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104113"},"PeriodicalIF":4.1,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drought risk and hydrological changes in the Ganga River Basin, India","authors":"Chetan Sharma , Deen Dayal , Anoop Kumar Shukla","doi":"10.1016/j.pce.2025.104107","DOIUrl":"10.1016/j.pce.2025.104107","url":null,"abstract":"<div><div>Droughts pose significant threats to water resources, agriculture, and livelihoods in the Ganga River Basin, a region highly dependent on monsoon rainfall and home to over 500 million people. Despite increasing climate variability, comprehensive assessments integrating multiple drought indicators remain limited. This study aims to address this gap by analyzing long-term trends in precipitation, temperature, and evapotranspiration (ET) from 1980 to 2020, and evaluating drought conditions using the Standardized Precipitation Index (SPI), Streamflow Drought Index (SDI) at 3, 6, and 12-month time scales, and Evaporative Stress Index (ESI) at multiple time scales. Results reveal significant declining trends in seasonal precipitation and rainy days, coupled with rising ET, particularly during the monsoon and pre-monsoon periods. Minimum temperatures show consistent increases across seasons, while maximum temperatures exhibit moderate changes. Drought indicators demonstrate increasing frequency and severity of hydrological and meteorological droughts in central and southern regions of the basin. The findings highlight the urgent need for region-specific adaptive water management strategies to mitigate the increasing drought risks and ensure sustainable water availability in the Ganga River Basin.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104107"},"PeriodicalIF":4.1,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geochemistry and detrital Zircon U–Pb geochronology of beach sediments from the southern Red Sea, Sudan: Implications for paleoweathering and provenance","authors":"Mustafa Salieh , Xinong Xie , Yong Li","doi":"10.1016/j.pce.2025.104110","DOIUrl":"10.1016/j.pce.2025.104110","url":null,"abstract":"<div><div>Active rift basins, such as the Red Sea, provide natural laboratories for studying sediment dynamics, with implications for global provenance and resource exploration. This study integrates geochemistry and detrital zircon U–Pb geochronology to investigate beach sediments along Sudan's Red Sea coast, a rift margin within the Neoproterozoic Arabian–Nubian Shield (ANS). Three kinds of sand deposits have been observed: white, black, and island sands. The Al<sub>2</sub>O<sub>3</sub>/TiO<sub>2</sub> ratio is sensitive to the composition of the source rock, suggesting a predominantly intermediate source for the islands' sediments and a mafic source for Trinkitat beach, with low-to-moderate weathering (CIW' = 32–76.6), consistent with semiarid rift margins. Zircon ages reveal two populations from the ANS (595–945 Ma) and Cenozoic volcanic rocks (22–42 Ma). These ages are interpreted to originate primarily from the Pan-African orogeny and specific terranes within the ANS for the older population and from syn-rift volcanism in the Red Sea Hills Alkaline Province for the younger population. Coast sands are derived from the ANS, but the black sands are mixed with syn-rift volcanic input from the Red Sea Hills Alkaline Province. Heavy mineral enrichment (ilmenite, rutile, zircon) at Trinkitat, driven by longshore currents, suggests placer deposit potential, analogous to Australia's Murray Basin. These findings highlight tectonic controls on provenance, with aridity limiting chemical alteration, contributing to global debates on sediment dispersal in rift basins. By comparing Sudan's Red Sea coast to global rift systems, this study advances models of sediment transport and supports critical mineral exploration (e.g., Ti, Zr).</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104110"},"PeriodicalIF":4.1,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Water-rock interaction processes in karst geothermal reservoirs in the Guanzhong basin, China: Perspectives from laboratory experiments","authors":"Lei Zheng , Jianhua Wu , Tengda Zhou , Yage Zhang","doi":"10.1016/j.pce.2025.104104","DOIUrl":"10.1016/j.pce.2025.104104","url":null,"abstract":"<div><div>Geothermal resource development is pivotal to global renewable energy strategies, demanding advanced understanding of hydrogeochemical processes. This study focused at the Guanzhong Basin's karst geothermal reservoirs, and water-rock interaction experiments were carried out to examine the mechanisms underlying fluid-reservoir rock interaction during geothermal runoff. Through controlled laboratory experiments, this study demonstrates that at 25 °C, geothermal water-rock interactions cause significant ion depletion (Ca<sup>2+</sup>: 94.48 → 59.40 mg/L; Mg<sup>2+</sup>: 41.36 → 40.96 mg/L; HCO<sub>3</sub><sup>−</sup>: 156.65 → 100.81 mg/L), with ionic ratio coefficients and saturation indices confirming precipitation of dolomite/calcite. Chloro-alkaline indices (CAI<0) validate reverse cation exchange dominance. Temperature modulates reaction intensity by altering mineral solubility (HCO<sub>3</sub><sup>−</sup> decreases 71 % at 80 °C vs 25 °C to 28.85 mg/L). Initial ionic concentration dictates reaction pathways (precipitation at supersaturation vs dissolution at undersaturation). The type of aqueous solution influences the ion concentration in the initial solution, which in turn influences the hydrogeochemical processes when the water rock interaction continues. This work establishes a temperature-ion abundance co-control model, enabling quantitative geothermal exploitation prediction.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104104"},"PeriodicalIF":4.1,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The 2024 grave water crisis in Delhi: Challenges, causes, and sustainable solutions","authors":"Navjot Hothi","doi":"10.1016/j.pce.2025.104111","DOIUrl":"10.1016/j.pce.2025.104111","url":null,"abstract":"<div><div>The water shortage in Delhi became a major challenge in 2024, aggravated by inefficient water management, rapid urbanization, population growth, and climate change. This manuscript aims at studying this crisis with focus on challenges, causes and sustainable solutions. The effect of the crisis on public health, agriculture, industry and the environment are also being discussed. Delhi presents the most data-rich and complex case. Groundwater resources in Delhi are facing severe stress, with several districts operating at or beyond critical extraction levels. Many regions have reached or exceeded the sustainable threshold, reflecting an alarming over-dependence on this resource. Seasonal rainfall patterns reveal that the majority of annual precipitation is concentrated in the monsoon months, while recent years have witnessed erratic distribution, with sharp deficits during winter, spring, and parts of the monsoon season. Such climatic irregularities have significantly contributed to the water crisis witnessed in the summer of 2024. Although certain areas have shown signs of improvement in groundwater levels due to recharge initiatives and moderated withdrawal in recent years, long-term observations indicate a persistent decline in several zones since the 1990s. This underscores the urgent need for integrated water resource management, climate-adaptive strategies, and strict regulation of extraction to safeguard Delhi's water security. Urban sprawl land sealing reduce recharge despite declining extraction. Comparative analysis with other cities such as Cape Town, Chennai and Shimla provide insight into the best practices that Delhi can take over.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104111"},"PeriodicalIF":4.1,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunlin Tu , Yunhui Zhang , Xingcheng Yuan , Qingsong Chen , Shiming Yang , Jinhai Yu , Linhu Yin , Denghui Wei , Yiqi Ma , Lanchu Tao
{"title":"Hydrochemical fingerprints of water resources in a karst watershed affected by mining activity in southwestern China","authors":"Chunlin Tu , Yunhui Zhang , Xingcheng Yuan , Qingsong Chen , Shiming Yang , Jinhai Yu , Linhu Yin , Denghui Wei , Yiqi Ma , Lanchu Tao","doi":"10.1016/j.pce.2025.104103","DOIUrl":"10.1016/j.pce.2025.104103","url":null,"abstract":"<div><div>Investigating the hydrogeochemical processes is a significant basis for achieving sustainable water resource management in karst watersheds. A total of 42 water samples were collected from the Wudu River karst watershed in southwestern China during May 2022, comprising surface water (SFW) (<em>N</em> = 42), groundwater (GDW) (<em>N</em> = 5), and mine water (MEW) (<em>N</em> = 3). Field sampling and hydrogeochemical analysis were conducted to identify water quality features, recharge sources, and dominant geochemical mechanisms. The results show that water samples are generally weakly alkaline (mean pH = 7.45), with total hardness indicating moderately hard water. The hydrochemical facies are primarily of the HCO<sub>3</sub>–Ca type (88.10 %). Hydrochemical types transition from GDW (HCO<sub>3</sub>–Ca) to SFW (HCO<sub>3</sub>–Ca and mixed) and further to MEW (HCO<sub>3</sub>–Na). Stable δ<sup>18</sup>O and δD isotopic characteristics indicate that both surface and groundwater receive recharge primarily through atmospheric precipitation and are influenced by evapotranspiration. Atmospheric precipitation is the primary recharge source of mine water, accounting for 95.50 %. Carbonate dissolution and silicate weathering dominate ion chemistry, supplemented by cation exchange and CO<sub>2</sub> dissolution. Anthropogenic influences are evident, as agricultural activities elevate nitrate (NO<sub>3</sub><sup>−</sup>) concentrations in GDW and SFW, while acid mine drainage (AMD) increases sulfate (SO<sub>4</sub><sup>2−</sup>) and chloride (Cl<sup>−</sup>) in MEW. Despite limited temporal resolution, the study results provide new insights into water-rock interactions and recharge mechanisms of water resources in karst regions.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104103"},"PeriodicalIF":4.1,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen Zhou , Amizatulhani Abdullah , Shu Ing Doh , Jing Chen
{"title":"Comparative review on vertical deformation in deep excavations: Insights from BU and TD methods","authors":"Wen Zhou , Amizatulhani Abdullah , Shu Ing Doh , Jing Chen","doi":"10.1016/j.pce.2025.104105","DOIUrl":"10.1016/j.pce.2025.104105","url":null,"abstract":"<div><div>With the rapid pace of urbanization, controlling vertical deformation in deep excavations has become increasingly important. This study reviews over one hundred recent publications and systematically compares the Bottom-up (BU) and Top-down (TD) methods using four key indicators: surface settlement, vertical displacement of retaining walls, column settlement, and basal heave. BU features a simple construction sequence and stable column behavior but is prone to greater settlement and heave when support stiffness or dewatering is insufficient. TD, by casting floor slabs in advance, reduces surface settlement by approximately 21 %–26 % and basal heave by 14.1 %–38.6 %, yet increases column settlement by 16.7 %, showing a two-stage “initial uplift–subsequent settlement” response. When surface settlement is normalized as the settlement-to-depth ratio, BU curves can be unified into a single design envelope, while vertical displacement of retaining walls, column settlement, and basal heave exhibit distinct evolution patterns. This review establishes a unified settlement envelope and a concise multi-indicator comparative dataset, providing practical reference for excavation scheme selection and optimization.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104105"},"PeriodicalIF":4.1,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Rhishi Hari Raj , D. Karunanidhi , Priyadarsi D. Roy , T. Subramani
{"title":"Predicting groundwater quality for irrigation suitability on agricultural practices using machine learning, fuzzy logic and GIS techniques","authors":"M. Rhishi Hari Raj , D. Karunanidhi , Priyadarsi D. Roy , T. Subramani","doi":"10.1016/j.pce.2025.104106","DOIUrl":"10.1016/j.pce.2025.104106","url":null,"abstract":"<div><div>The study focuses on assessing the irrigation water quality index using modern techniques applied to 188 groundwater samples of Arjunanadi River basin (ARB) in southern India. Based on World Health Organization standards, 38 % of pre-monsoon samples exhibit higher electrical conductivity values exceeding 1500 μS/cm. Among the machine learning (ML) algorithms used for predicting irrigation water quality variables, the artificial neural network model demonstrated superior performance with 97 % accuracy. For both monsoon seasons, fuzzy logic models were employed to evaluate irrigation water quality parameters, revealing that all samples were suitable based on sodium absorption ratio. The United States Salinity Laboratory (USSL) diagram indicates that 76 % of pre-monsoon and 72 % of post-monsoon samples fall within the C3S1 zone, suggesting suitability for irrigation across diverse soil varieties with a reduced risk of convertible sodium. The Wilcox diagram classifies 62 % of pre-monsoon and 76 % of post-monsoon samples having good water quality for irrigation. Additionally, Doneen's diagram shows that 72 % of pre-monsoon and 44 % of post-monsoon samples are appropriate for agricultural practices. The overall fuzzy analysis indicates that 89 % of region in the study area is appropriate for agricultural practices. The findings of this study will enable government representatives and legislators raise public awareness on application of groundwater irrigation, which will help achieve Sustainable Development Goals (SDGs) 2 and 6.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104106"},"PeriodicalIF":4.1,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Weimin Wang , Xiangyun Xiong , Kai Liu , Furong Zhang , Lihua Tian , Xiaokang Dai , Hua Liu , Weixi Wang
{"title":"Unveiling the evolution and driver of urban heat island in Shenzhen using multiple remote sensing techniques","authors":"Weimin Wang , Xiangyun Xiong , Kai Liu , Furong Zhang , Lihua Tian , Xiaokang Dai , Hua Liu , Weixi Wang","doi":"10.1016/j.pce.2025.104102","DOIUrl":"10.1016/j.pce.2025.104102","url":null,"abstract":"<div><div>The surface urban heat island (SUHI) effect is closely linked to urbanization and land-use patterns, yet its variation and evolution remains poorly understood in rapidly developing cities. This study analyzed the spatiotemporal evolution and driving factors of SUHI in Shenzhen, China, using nearly three decades of MODIS and LANDSAT remote sensing imagery. Our results revealed pronounced spatial variations in land surface temperature (LST), with urban impervious surfaces consistently warmer than vegetated areas. The SUHI effect was observed both in the day and night, showing an increasing trend over the past two decades but stabilizing in recent years. We observed that the SUHI effect was more pronounced in summer than in winter, with areas of high economic development and population density showing greater intensity. In contrast, districts with greater ecological preservation exhibited lower SUHI intensity. The SUHI effect stabilized in recent years following rapid growth during earlier urban expansion phases. Thermal patterns and energy balance in Shenzhen were influenced by urban vegetation and impervious surfaces. Correlation analysis indicated that SUHI intensity was negatively associated with leaf area index and surface evapotranspiration, and positively associated with surface albedo. By integrating multi-source and multi-temporal remote sensing data, this study enhances understanding of urban thermal dynamics and supports data-driven strategies for sustainable urban planning and climate adaptation.</div></div>","PeriodicalId":54616,"journal":{"name":"Physics and Chemistry of the Earth","volume":"141 ","pages":"Article 104102"},"PeriodicalIF":4.1,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}