Journal of Hydrology最新文献

{"title":"Estimating hydraulic properties and residence times of unconfined aquifers","authors":"Thomas A. McMahon,&nbsp;Rory J. Nathan","doi":"10.1016/j.jhydrol.2025.132861","DOIUrl":"10.1016/j.jhydrol.2025.132861","url":null,"abstract":"<div><div>When detailed groundwater data are unavailable to determine unconfined aquifer characteristics, lumped parameter methods are used to estimate hydraulic properties (initial water table depth, <em>D</em>, saturated hydraulic conductivity, <em>k₀</em>, for a given value of drainable porosity, <em>f</em>) and residence time (drainage time scale), <em>τ</em>. Current procedures require the construction of recession-slope plots (first derivative of recessional flows versus flow) and their interpretation to estimate the parameters in two of the three expressions of the Boussinesq formulation. A novel procedure is proposed to estimate <em>D</em> and <em>k₀</em> and, separately, <em>τ</em> based on the maximum recession constant, a parameter which is estimated using an objective approach that is easily automated. Another novel aspect of the proposed approach is the recognition that the variability in <em>D</em> and <em>τ</em> is a measure of aleatory uncertainty and, therefore, the results can be specified in terms of non-exceedance cumulative frequencies to represent catchment behaviour under different climatic conditions. The methods are applied to five very different catchments, and estimated values of <em>D</em>, <em>k₀</em> and <em>τ</em> are compared with field or modelled estimates using current methods.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132861"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Multi-resolution reconstruction of longitudinal streambed footprints using embedded sparse convolutional autoencoders","authors":"Yifan Yang ,&nbsp;Zihao Tang ,&nbsp;Dong Shao ,&nbsp;Zhonghou Xu","doi":"10.1016/j.jhydrol.2025.132852","DOIUrl":"10.1016/j.jhydrol.2025.132852","url":null,"abstract":"<div><div>This study introduces an embedded convolutional autoencoder (CAE) architecture designed for the multi-resolution reconstruction of longitudinal streambed footprints as sparse heatmaps. Three standalone but interrelated CAEs are trained to achieve double-upsampling, enhancing the heatmaps’ spatial resolution and data measurement resolution simultaneously. Transfer learning improves model training efficiency by incorporating a trained model into a larger model at the next level. Cascading the CAEs facilitates a direct pathway for enhancing data quality from the coarsest inputs and recovering fine-grained patterns. Systematic evaluations prove the CAEs’ reliability in working individually and collectively. Robustness analyses demonstrate the model’s ability to retain field reconstructive quality when subjected to various corrupted inputs, including bulk data loss and spiky noise interference with local measurements at different streambed sections. The model’s capacity benefitted from including attention mechanisms (convolutional block attention modules, CBAM) and the adaptive training strategy using crafted loss functions, ensuring efficient extraction and learning of sparse dense patterns and fast reconstruction of physically sound fields. The model architecture’s flexibility and scalability are highlighted, proving it suitable for more complex geophysical systems with higher dimensions. The proposed embedded CAE architecture provides a foundational tool for creating digital surrogates of river courses and similar entities, which often involve inherently sparsely distributive data in both spatial and temporal domains.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132852"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"A reassessment of the history of the temporal resolution of rainfall data at the global scale","authors":"Renato Morbidelli ,&nbsp;Alessia Flammini ,&nbsp;Odinakachukwu Echeta ,&nbsp;Raffaele Albano ,&nbsp;Gabriel Anzolin ,&nbsp;David Zumr ,&nbsp;Wafae Badi ,&nbsp;Nicola Berni ,&nbsp;Miriam Bertola ,&nbsp;José María Bodoque ,&nbsp;Theo Brandsma ,&nbsp;Arianna Cauteruccio ,&nbsp;Andrés Cesanelli ,&nbsp;Luigi Cimorelli ,&nbsp;Pedro L.B. Chaffe ,&nbsp;Vinicius B.P. Chagas ,&nbsp;Jacopo Dari ,&nbsp;Cristiano das Neves Ameida ,&nbsp;Andrés Díez-Herrrero ,&nbsp;Nolan Doesken ,&nbsp;Carla Saltalippi","doi":"10.1016/j.jhydrol.2025.132841","DOIUrl":"10.1016/j.jhydrol.2025.132841","url":null,"abstract":"<div><div>The availability of rainfall data is of paramount importance in most hydrological studies and is directly dependent on the type of sensors used as well as the recording systems adopted. In fact, these elements have a crucial influence on the temporal resolution (t_a) of stored rainfall data, which in turn affects the types of analysis that can be conducted, making knowledge of t_a on a global scale of particular interest to the entire scientific community and also for engineers. For rain gauges installed more than 70–80 years ago the earliest recordings were manual with coarse temporal resolution. Instead, mechanical recordings on paper rolls began in the early decades of the last century, while digital recordings began only in the last four decades, making analyses requiring long time series of sub-hourly rainfall data impossible. This paper presents a significant update of a previous historical analysis of the time-resolution of t_a (<span><span>Morbidelli et al., 2020</span></span>) by which 126,438 stations, located in 77 different geographical areas, were collected into a database, quintupling the number of stations of the previous database and including areas not considered before. It was found that a high percentage of rain gauge stations currently provides useful data at any time-resolution, but there is an increasing development of rainfall networks characterized by very inexpensive, volunteer-operated stations that acquire one data per day (t_a = 1440 min), allowing only limited rainfall-related analyses. The invitation for all rain gauge network operators to contribute additional data to the database remains open.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132841"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Increased frequency and severity of global compound dry and heat wave events in a daily scale","authors":"Lijun Jiang ,&nbsp;Jiahua Zhang ,&nbsp;Linyan Bai ,&nbsp;Jiaqi Han ,&nbsp;Xianglei Meng ,&nbsp;Dan Cao ,&nbsp;Ali Salem Al-Sakkaf","doi":"10.1016/j.jhydrol.2025.132857","DOIUrl":"10.1016/j.jhydrol.2025.132857","url":null,"abstract":"<div><div>Compound dry and hot events have severe impacts on human health, ecosystems, and social economy. However, daily-scale compound dry and heat wave events (CDHWs), which enable a more detailed analysis of CDHWs changes and their contributing factors, have not been fully investigated across global land regions. Here, we examine the spatiotemporal variations in the frequency, duration, dry conditions, and excessive heat of CDHWs from 1961 to 2020, as well as the occurrence probability of extreme CDHWs and the effect of individual heat wave and dry events on their probability changes. Results show widespread intensification of CDHWs in different aspects, particularly in western North America, eastern South America, Europe, northern Africa, and parts of Asia. Notably, extreme CDHWs generally exhibit more severe changes during 1991–2020 compared to 1961–1990. Furthermore, nearly all global land regions have experienced significant reductions in the return period of extreme CDHWs between these two periods, with decreases exceeding 60 %. Variations in heat wave events play a dominant role in contributing the frequent occurrence of extreme CDHWs, while changes in dry events contribute as well, with an obviously weaker impact. This study enhances the understanding of compound dry and heat wave events on a finer temporal scale and emphasizes more attention should be paid to extreme compound events.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132857"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pre-whitened wavelet analysis to evaluate the relationship between environmental factors and groundwater responses at a delta plain in the downstream region of Nackdong river Basin, South Korea","authors":"Eunhyung Lee ,&nbsp;Sanghyun Kim","doi":"10.1016/j.jhydrol.2025.132856","DOIUrl":"10.1016/j.jhydrol.2025.132856","url":null,"abstract":"<div><div>Groundwater variation in a delta plain at estuarine rivers is important for agricultural productivity and the development of a suburban area. A time–frequency analysis is necessary for better understanding the causal relationship between groundwater level and salinity and hydrological and meteorological conditions. The conventional wave analysis requires further development to properly handle the common driver if two time series share identical stochastic structures. As part of this study, we developed an improved wavelet coherence analysis to delineate causality configurations using a pre-whitening scheme. Residual series of river water and groundwater level were obtained by using the structure of a time series model for air pressure. Pre-whitening wavelet analysis removed the majority of common coherences between river water level and groundwater responses within 6 h. Additionally, substantial air pressure wavelet coherences (between 10–100%) were eliminated by the proposed method for time intervals exceeding 6 h. As a result of applying the proposed method to groundwater level and salinity responses, it has been demonstrated that eliminating the stochastic structure can help identify time-dependent impacts of extreme events, as well as improve our understanding of coherence relationships across a wide range of time and frequency scales.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132856"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Enhancing hydrological model performance through multi-source open-data utilization in the highly managed, data-scarce basin","authors":"Jiayan Zhang ,&nbsp;Zhihong Liu ,&nbsp;Yu Li ,&nbsp;Yanhong Dou ,&nbsp;Mingjun Wang ,&nbsp;Huicheng Zhou ,&nbsp;Bo Xu","doi":"10.1016/j.jhydrol.2025.132860","DOIUrl":"10.1016/j.jhydrol.2025.132860","url":null,"abstract":"<div><div>Developing reliable hydrological models in highly managed basins is challenging due to multiple sources of uncertainty. The advent of open-source platforms providing publicly available datasets has the potential to mitigate these uncertainties. However, a comprehensive understanding of how these datasets impact model performance is lacking. This study takes the lower part of the YongDing River Basin (LYDRB) in northern China as a case to develop a hydrological model leveraging various open-source datasets, including water withdrawal activities, satellite-based streamflow, and remotely sensed evaporation. We design four comparative experiments to assess the impact of utilizing different data combinations on model performance. We find that the satellite-based streamflow data has the most significant impact, greatly enhancing streamflow simulation performance, with the NSE improving from the range of −1.5 to −0.39 to the range of 0.48 to 0.54 and the PBIAS improving from the range of −28 % to −63 % to the range of −3 % to −10 %. Water withdrawal data and remotely sensed evaporation data contribute to smaller performance improvements. The use of these two datasets may lead to poorer performance during the calibration period but better performance during the validation period. Specifically, remotely sensed evaporation data enhances model performance in streamflow simulation during the validation period, with NSE increasing by up to 0.1, although it results in a decrease of up to 0.04 in NSE during the calibration period. Overall, this study provides valuable insights for developing reliable and low-uncertainty hydrological models in highly managed and data-scarce basins by effectively utilizing various information sources.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132860"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Micro-macro–scale flood modeling in ungauged channels: Rain-on-grid approach for improving prediction accuracy with varied resolution datasets","authors":"Akshay Kumar ,&nbsp;Sripali Biswas ,&nbsp;Srinivas Rallapalli ,&nbsp;Pratik Shashwat ,&nbsp;Selva Balaji ,&nbsp;Rajiv Gupta","doi":"10.1016/j.jhydrol.2025.132862","DOIUrl":"10.1016/j.jhydrol.2025.132862","url":null,"abstract":"<div><div>Flood risk arises from the interplay of climatic variability, urbanization, and mitigation measures. While climatic patterns exhibit variability that may either exacerbate or mitigate flood risk across regions, urban development continues to decrease the distance between human settlements and flood-prone areas, intensifying vulnerability. This also necessitates the utilization of datasets with diverse resolutions. Although several studies have performed flood forecasting using advanced models, challenges remain in addressing specific limitations such as (a) improving the accuracy of micro–macro-scale model transitions when employing varied resolution datasets, and (b) enhancing predictive capabilities for ungauged channels. This study aims to address these challenges within the context of a case study, applying a rain-on-grid approach to link micro- and macro-scale flood predictions in a data-scarce environment. The study investigated the impact of grid size and simulation time steps for daily rainfall data on computation time and model accuracy through Geo-HECRAS. The results highlighted significant impacts on the accuracy of hydrological simulations due to variations in spatial resolution and simulation time steps. Volume accumulation error decreased from 1.49 % to 0.25 % in micro-scale scenarios and from 0.85 % to 0.006 % in macro-scale scenarios when transitioning from higher-resolution grids (5 m and 30 m) to coarser grids (10 m and 50 m) with a finer simulation time step of 15 min. While finer grids improve spatial detail, the findings suggest that coarser grid resolutions, when combined with finer temporal scales, can achieve reduced errors and optimized computational efficiency for both micro and macro-scale modeling. This approach enhances the accurate representation of flood dynamics over broader spatial scales, ensuring the reliability of predictive models. It supports the development of flood mitigation strategies and resilient infrastructure tailored to both regional patterns and site-specific hydrological conditions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132862"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Droplet flow behavior and splitting dynamics at three-dimensional fracture intersections: A theoretical and experimental study","authors":"Cao Luo ,&nbsp;Chi Yao ,&nbsp;Yun-Zhe Jin ,&nbsp;Jie Yu ,&nbsp;Chuang-Bing Zhou","doi":"10.1016/j.jhydrol.2025.132859","DOIUrl":"10.1016/j.jhydrol.2025.132859","url":null,"abstract":"<div><div>Studying droplet behavior at intersections within three-dimensional fractured media is crucial for predicting fluid flow and solute transport. However, the relationship between droplet splitting at these intersections and macroscopic quantities like flow rate is still unclear. In this study, we developed and validated a theoretical model to describe droplet splitting in three-dimensional fractures using laboratory visualization experiments. Our findings show a strong alignment between the model’s predictions and the experimental data, indicating the model’s effectiveness in simulating real-world droplet behavior. We observed droplet behavior and transformation within a single three-dimensional fracture, noting that size is influenced by flow rate, aperture, contact angle, and inclination. Using these variables, we determined the capillary barrier size at intersections. We used our model to predict droplet splitting at intersections, defining three modes: Type I, full invasion of the horizontal fracture; Type II, partial invasion; and Type III, complete crossing of the fracture. Sensitivity analysis showed that droplet splitting shifts from Type I to Type II and stabilizes at Type III as the forward contact angle, flow rate, and inclination angle increase. Notably, there is a non-linear relationship between the splitting ratio and fracture aperture, especially during the Type I to Type II transition. Our findings improve understanding and contribute to more accurate predictions of unsaturated flow in fractured rock formations, impacting groundwater remediation, oil and gas production, and geothermal energy extraction.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132859"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the multidimensional impacts of riverbed sand mining on geomorphological change and water transfer rate: A comprehensive investigation of Central Vietnam’s Vu Gia Thu Bon River system","authors":"Binh Quang Nguyen ,&nbsp;Sameh A. Kantoush ,&nbsp;Tetsuya Sumi","doi":"10.1016/j.jhydrol.2025.132853","DOIUrl":"10.1016/j.jhydrol.2025.132853","url":null,"abstract":"<div><div>Increasing populations, urbanization, and infrastructure development worldwide have intensified riverbed sand mining activities, posing complex societal challenges across multiple spheres. Its wide-reaching impacts include alterations of river gradients that intensify erosion, disrupt the flow regime, and influence the stability of fluvial systems. This study aimed to uncover the intricate river dynamics and water transfer rate induced by sand mining in the Vu Gia Thu Bon (VGTB) River basin in central Vietnam. We investigated the effects of sand mining on riverbed elevation, changes in the river morphology, sediment balance, and flow characteristics, including the water transfer rate. The datasets were analyzed using various methods, including theoretical analysis, field investigation, and numerical simulations (TELEMAC-2D). Our findings show that local sand mining activities are unsustainable, affecting riverbed elevation alteration (reduced to 7.45 m), sediment budget (incision by 63.30 Mm³), and morphology over a wide area. We found that sand mining sites on the Vu Gia and Thu Bon Rivers are concentrated mainly upstream and downstream of the Quang Hue Channel, respectively. These factors, combined with the high riverbed elevation slope, led to low riverbed elevation and increased incisions in the Quang Hue Channel, and as a result, increased water transfer rate. We observed that the average annual water transfer rate from the Vu Gia to the Thu Bon via the Quang Hue Channel has increased from 45.7 % in 2018–2022 and is projected to increase further to 65 % by 2030. The result is a change in the rate of water transfer, causing an imbalance in water resources and sediment budgets between the Vu Gia and Thu Bon Rivers. These findings will allow for a more robust understanding of the environmental consequences of sand mining in the VGTB river basin, enhancing the relevance of these findings for policy and management decisions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132853"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of model physics, meteorological forcing, and soil property data on simulating soil moisture and temperature profiles on the Tibetan Plateau","authors":"Pei Zhang ,&nbsp;Donghai Zheng ,&nbsp;Rogier van der Velde ,&nbsp;Jun Wen ,&nbsp;Zhongbo Su","doi":"10.1016/j.jhydrol.2025.132809","DOIUrl":"10.1016/j.jhydrol.2025.132809","url":null,"abstract":"<div><div>Producing reliable profile soil moisture and temperature (SMST) simulations for the Tibetan Plateau (TP) is challenging with current model-based products. This study examines error sources in GLDAS-2.1 Noah through numerical experiments focusing on impact of soil properties, meteorological forcing, and model physics. Profile SMST observations from the Maqu network characterized by grassland with humid climate and Shiquanhe network dominated by bare ground with arid climate serve as ground truth. The control experiment running the default Noah model with GLDAS-2.1 meteorological data and FAO soil data mirrors the GLDAS-2.1 Noah product, both of which underestimate profile SM in Maqu and overestimate them in Shiquanhe, with profile ST underestimated in both areas. Using realistic soil types from in situ samples reduces RMSD by 27% and 57% on average in simulating profile SM for Maqu and Shiquanhe, respectively. Adoption of improved meteorological forcing further alleviates remaining overestimation in Shiquanhe during warm season with RMSD reduced by 45%. Implementation of augmented model physics largely addresses remaining deficiencies, which further reduces RMSD by more than 40% in both network via improving parameterizations of soil hydraulic properties and freezing characteristics. Implementation of improved soil type and meteorological forcing shows minor impact on profile ST simulations, while the augmented model physics improving the parameterization of surface heat exchange largely reduces the RMSD by 34% and 51% for Maqu and Shiquanhe, respectively. These findings provide valuable insights for understanding and addressing the uncertainties of profile SMST simulations on the TP.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132809"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}