Journal of Hydrology最新文献

{"title":"An integrated water quality-improving and quantity-saving mechanism under government interventions in water diversion supply chain","authors":"Xinyu Liu ,&nbsp;Junfei Chen ,&nbsp;Menghua Deng ,&nbsp;Tonghui Ding ,&nbsp;Wentong Yang ,&nbsp;Anqi Zhu","doi":"10.1016/j.jhydrol.2025.134263","DOIUrl":"10.1016/j.jhydrol.2025.134263","url":null,"abstract":"<div><div>Water quality-improving and quantity-saving are crucial for the water environmental protection and sustainable water resources utilization in water diversion projects. Water diversion projects, which possess both public benefit and profit-driven characteristics, are not only influenced by the market transaction mechanisms but also influenced by the government interventions. This study develops a water diversion supply chain framework involving the government, supplier, distributor, and consumers to enhance social welfare by integrating water quality-improving and quantity-saving. Considering consumers’ preferences for water quality, a Stackelberg game model is used to capture decision-making interactions among stakeholders under a benchmark and three government intervention scenarios. The effectiveness of three interventions is evaluated via theoretical derivation and real-case analysis. We further examine the impacts of consumer preferences, precipitation, and government criteria on social welfare. The results indicate that all three government interventions can enhance both supply chain’s profit and consumer surplus when the water quality-improving cost coefficient is below the threshold of 0.556. Further, under dynamic environmental conditions (i.e., precipitation variation) or changes in government concern criteria, hybrid intervention shows greater robustness compared to single quality subsidy or quantity regulation, consistently yielding the highest social welfare. Note that misjudging consumer preferences for water quality may lead to substantial social welfare losses, with the maximum deviation in social welfare under different preference scenarios reaching 59.63%. Our findings provide practical insights for government to improve quality and save quantity in the water diversion projects for social welfare improvement.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134263"},"PeriodicalIF":6.3,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096471","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":"Non-stationary streamflow responses to forest harvesting vary along topographic gradients in a sub-alpine watershed of Southwest China","authors":"Shiyu Deng ,&nbsp;Mingfang Zhang ,&nbsp;Yiping Hou ,&nbsp;Zhiwei Jiang ,&nbsp;Qiang Li ,&nbsp;Shirong Liu","doi":"10.1016/j.jhydrol.2025.134262","DOIUrl":"10.1016/j.jhydrol.2025.134262","url":null,"abstract":"<div><div>The relationship between forest and streamflow is becoming non-stationary under climate change and growing disturbances especially in high mountainous region. However, the non-stationary forest-streamflow relationship and its spatial variation remains unclear particularly due to the lack of ability to capture both non-stationarity and spatial variations in forest-water interactions by available hydrological models. In this study, we proposed a new methodology combining the modified double mass curve (MDMC) and Soil Water Assessment Tool (SWAT) models to investigate the non-stationary streamflow responses to forest harvesting and their variations along topographic gradients in the Upper Zagunao River watershed in Southwest China, a typical sub-alpine watershed. We firstly determined the non-stationarity of the forest-streamflow relationship by the MDMC and classified the study period into the stationary (1961–1969) and non-stationary (1970–1991 and 1992–2006) periods. We further ran SWAT models with dynamic parameter sets in stationary and non-stationary periods, and found that simulations with dynamic parameter sets effectively captured ecohydrological processes during non-stationary periods and outperformed simulations with fixed parameter sets. Based on the simulations, we quantified the responses of annual and seasonal (dry and wet season) mean flows, and high and low flows to various forest change scenarios that combined forest harvesting levels and topographic gradients. We found that the annual and seasonal mean flows, low and high flows increased after forest harvesting. Lower forest harvesting thresholds for detectable changes in the magnitudes of dry season mean flows (10 % of forest harvesting) and low flows (6 % of forest harvesting) were determined in comparison to the magnitudes of wet season mean flows (25 % of forest harvesting) and high flows (12 % of forest harvesting). Spatially, streamflow was more sensitive to forest harvesting at lower elevations (2800–3100 m) or on steeper slopes (30–45°), and less sensitive on south-facing slopes. This study provides an innovative assessment of non-stationary streamflow responses to forest harvesting across topographic gradients, and offers valuable insights for forest restoration and water resource management in sub-alpine watersheds under a changing environment.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134262"},"PeriodicalIF":6.3,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096477","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":"Hydrogeochemical modeling of geogenic and anthropogenic processes using VISHMOD and integration of geophysical-geological analysis in a Tectonostratigraphic Terrain","authors":"Berenice Gómez-Mena ,&nbsp;Janete Morán-Ramírez ,&nbsp;J.A. Ramos-Leal ,&nbsp;Briseida López-Álvarez ,&nbsp;Isaac Bonola-Alonso","doi":"10.1016/j.jhydrol.2025.134248","DOIUrl":"10.1016/j.jhydrol.2025.134248","url":null,"abstract":"<div><div>The evolution of groundwater flow in hard-rock crystalline aquifers, composed of metamorphic rocks overlain by a thin alluvial fill, is influenced by mixing processes, rock-water interactions, and anthropogenic contamination. This study proposes a comprehensive methodology that combines hydrogeochemical modelling, resistivity geophysical techniques, and detailed geological verification, with the objective of identifying the main processes occurring in these complex geological environments. The results show mixing of different origins associated with three types of groundwater flow and rock-water interactions. These processes include redox reactions, nitrification, and denitrification, the latter of which is linked to anthropogenic sources. These processes are identified in isoresistive hydrogeological units, with resistivity values ranging from 15 to 300 Ohm.m, associated with weathered fractured metamorphic rocks and saturated fractured andesitic rocks. Structural patterns of faults and fractures favour water flow, promoting the occurrence of the various processes identified. This research contributes to the understanding of hydrogeological behaviour in aquifers with metamorphic basements and complex tectonic conditions. It provides a replicable methodology for evaluating water quality at sites with similar geological characteristics.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134248"},"PeriodicalIF":6.3,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118376","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":"Machine learning uncovers a multi-year climate memory in permafrost degradation on the Qinghai–Tibet Plateau: the critical roles of precipitation and lagged temperature","authors":"Kunqi Ding ,&nbsp;Peng Jiang ,&nbsp;Jiaying Ni ,&nbsp;Tongqing Shen ,&nbsp;Bin Yang ,&nbsp;Rongrong Zhang ,&nbsp;Zhongbo Yu","doi":"10.1016/j.jhydrol.2025.134272","DOIUrl":"10.1016/j.jhydrol.2025.134272","url":null,"abstract":"<div><div>The Qinghai–Tibet Plateau (QTP), which hosts the world’s largest area of alpine permafrost, is experiencing accelerated degradation due to climate warming, posing significant threats to regional hydrological cycles and ecosystem stability. While existing research has primarily focused on direct temperature impacts, the influence of precipitation and the multi-year lagged responses of permafrost thermal regimes remain insufficiently quantified. To address these gaps, we employed a machine learning approach that integrates multi-year (0–5 years) lagged climatic features (temperature and precipitation) to model permafrost distribution and active layer thickness (ALT) across the QTP from 1960 to 2020. Our comparative analysis of three machine learning paradigms revealed that CatBoost delivered superior predictive performance (testing set F1-score = 0.979; R² = 0.791). Crucially, this high performance is directly attributable to the model’s capacity to leverage a multi-year “climate memory”, which highlights the importance of incorporating lagged climate features in permafrost change simulation. Interpretability analyses of the CatBoost model further reveal that winter snowfall acts as a key insulator, whereas spring and summer rainfall accelerate thawing by increasing soil thermal conductivity. Spatiotemporal analysis identified a net permafrost retreat of 2.51 × 10⁴ km² per decade. Notably, ALT dynamics exhibited a pronounced regime shift around 1980, transitioning from a thinning trend (−5.2 cm/decade, 1960–1980) to rapid thickening (+4.1 cm/decade, 1980–2000). These results establish that a robust understanding of QTP permafrost dynamics requires moving beyond simple temperature-driven models to incorporate the interacting roles of seasonal precipitation and cumulative climatic legacies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134272"},"PeriodicalIF":6.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096472","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":"Canopy box framework to represent the surface energy partitioning over vegetated areas","authors":"Kwanghun Choi,&nbsp;Kyungrock Paik","doi":"10.1016/j.jhydrol.2025.134169","DOIUrl":"10.1016/j.jhydrol.2025.134169","url":null,"abstract":"<div><div>The partitioning of radiative fluxes and their conversion into heat fluxes within vegetated areas are fundamental processes in surface energy dynamics. For a simple, while physically sound, representation of the radiative transfer, heat conversion, and the energy storage, we propose to conceptualize the vegetated area as a hypothetical continuum on the ground, namely the canopy box. Complex radiant exchanges within this semi-transparent medium are modeled with varying radiant exchange parameters depending on the botanical characteristics. To more explicitly capture the function of vegetation, radiation is classified by spectral domain (short- and long-wave) and direction (upward and downward). Accordingly, the framework employs parameters for short-wave reflection and absorption, and represents long-wave exchange as bidirectional net emission from the canopy box. With the proposed idea, the surface energy balance equation is rewritten in two governing equations, one for the canopy and the other for the ground surface. The framework was evaluated at AmeriFlux sites of different vegetation types and climate where radiative fluxes measured both above and below canopy are available. Parameters of the proposed framework, derived from measured radiation data, effectively reflect not only the botanic phenology but also the ground condition.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134169"},"PeriodicalIF":6.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118377","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":"Experimental study of rheological behavior of debris mixtures subjected to burning: implications to postfire debris flow mobility","authors":"Feihong Gao,&nbsp;Jiaqi Zhang,&nbsp;Sérgio D.N. Lourenço,&nbsp;Clarence Choi","doi":"10.1016/j.jhydrol.2025.134261","DOIUrl":"10.1016/j.jhydrol.2025.134261","url":null,"abstract":"<div><div>Wildfire-induced changes to soil and vegetation decrease infiltration and increase runoff, making slopes susceptible to the occurrence of postfire debris flows. These flows, which occur in burned watersheds, are typically characterized by an abundance of fire-burned debris, resulting in expected alterations in the flow rheology. Burning tests were conducted to investigate the effects of the burn temperature and combustion of organic matter on the rheologic properties of postfire debris flows. Representative organic matter was combusted at temperatures typically observed during wildfires from 100 to 400 °C. Rheologic testing was subsequently employed to measure the rheologies of fire-burned debris by mixing the burned debris with water. The findings reveal that burned debris produces more diluted slurries, resulting in a decrease of up to 100 % in yield stress and 80 % in viscosity. In addition, the underlying physics of the rheology are elucidated. These systematic investigations on burned debris suggest that wildfires have the potential to increase the mobility of debris flows in burned watersheds. This insight provides theoretical underpinnings for hazard assessment models that depend on rheological characteristics as crucial inputs.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134261"},"PeriodicalIF":6.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096111","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":"Global patterns and hierarchical controls of metabolism from headwaters to large rivers","authors":"Qiao Yang ,&nbsp;Fuzhong Wu ,&nbsp;Qiqian Wu ,&nbsp;Josep Peñuelas ,&nbsp;Jordi Sardans ,&nbsp;Yan Peng ,&nbsp;Zimin Li ,&nbsp;Petr Heděnec ,&nbsp;Zhijie Li ,&nbsp;Kai Yue","doi":"10.1016/j.jhydrol.2025.134268","DOIUrl":"10.1016/j.jhydrol.2025.134268","url":null,"abstract":"<div><div>Metabolic function is a fundamental property of river ecosystems. Identifying the key controlling factors of metabolic processes remains a central challenge in predicting the role that rivers play in global carbon cycle. Here, using 3334 observations [1732 for gross primary productivity (GPP) and 1602 for ecosystem respiration (ER)] collected from 224 published studies, we quantitatively evaluated the patterns and drivers of metabolism in rivers. Results showed that (1) global rivers were predominately heterotrophic across most river scales and biome regions, with GPP ranging from −0.301 to 29.1 g O₂ m⁻² d⁻¹ and ER ranging from −39.0 to 0 g O₂ m⁻² d⁻¹; (2) GPP increased significantly with river size, whereas ER showed a weak relationship with river size due to the scaling effects of biotic communities; (3) factors governing metabolic processes varied significantly among different river scales, but latitude was a cross-scale regulator in large rivers (Strahler stream order ≥7^th); (4) headwater stream (1^st-3^rd orders) metabolism was dominated controlled by light availability and temperature, while that in intermediate rivers (4^th-6^th orders) demonstrated high sensitivity to river morphology, nutrient availability, and anthropogenic pressures; and (5) over the past 30 years (1991–2021), river metabolism exhibited pronounced seasonal variation—peaking in summer—and asynchronous declines in GPP and ER. Our hierarchical regulation framework would optimize the ecological management of water resources and provide critical information for better prediction of global river ecosystem carbon fluxes.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134268"},"PeriodicalIF":6.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096126","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":"Revealing the spatial–temporal patterns of hydropeaking induced by the Three Gorges Dam, China","authors":"Xueqin Liu ,&nbsp;Taiji Tian","doi":"10.1016/j.jhydrol.2025.134269","DOIUrl":"10.1016/j.jhydrol.2025.134269","url":null,"abstract":"<div><div>Hydropeaking, a common consequence of hydropower dam operation, causes frequent, rapid and short term fluctuations in water flow and water levels. As the number of hydropower dams continues to increase, characterizing the highly variable hydropeaking regimes has become an important topic. However, features of hydropeaking are not well studied for many rivers with a hydropower dam, especially those large hydropower dams. Here, we explored the spatial–temporal patterns of hydropeaking induced by the Three Gorges Dam (TGD), the world’s largest hydropower dam to date, based on long term water level data of ∼450 km downstream reaches. To detect and quantify hydropeaking signals, we used an integrated methodology that combined wavelet analysis with the range of variability method. Results showed that the TGD induced hydropeaking occurred at 1-day and 0.5-day cycles, and the maximum amplitude was 3.43 m, 95 % quantile 1.91 m and 90 % quantile 1.52 m at Yichang gauging station. Amplitude of hydropeaking decreased with distance from the TGD but increased from initial to normal stage of dam operation. Hydropeaking varied seasonally as its amplitude and frequency were higher during the wet season (May–November) than those of the dry season. Operation of the TGD strongly reduced the annual cycle of water level in downstream reaches after removing the effects of precipitation. Our results provide new insights into understanding the effects of large hydropower dams as well as environmental flow management in hydropeaking affected rivers.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134269"},"PeriodicalIF":6.3,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096112","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":"Seasonal and inter-annual dynamics of water vapor flux based on five-year eddy covariance measurements over an alpine grassland in arid Central Asia","authors":"Baoxiang Fan ,&nbsp;Haijun Peng ,&nbsp;Hu Yao ,&nbsp;Kaihui Li ,&nbsp;Bing Hong","doi":"10.1016/j.jhydrol.2025.134259","DOIUrl":"10.1016/j.jhydrol.2025.134259","url":null,"abstract":"<div><div>Extensive arid and semi-arid ecosystems in Central Asia are threatened by aridification and desertification owing to intensified evaporation and extreme climates. To understand the mechanisms of water vapor (H₂O) transformations and assess the water balance under climate change in Central Asian grasslands, knowledge of H₂O ecosystem-scale flux and its seasonal and interannual dynamics is important. Based on the eddy covariance technique, this study measured the five-year H₂O flux over the Bayinbuluk Grassland in Central Asia and investigated its environmental controls. The results showed that the grassland was a net source of H₂O flux, emitting 1432 ± 93 mm y⁻¹ from 2017 to 2021, with a mean annual precipitation of 237 ± 69 mm. Seasonal changes in H₂O fluxes were higher during the growing season than that during the non-growing season, with annual maxima generally occurring from July to August. A clear unimodal diurnal pattern in the H₂O flux was observed during both seasons from 2018 to 2021, with peak values appearing at approximately 14:30. We further conducted a wavelet analysis on this long-term quasi-continuous H₂O flux time series and investigated its temporal variability and wavelet coherence with environmental variables. Daily periodicity in H₂O fluxes was detected during most of the growing season. The variations in H₂O fluxes were in phase with changes in air temperature and solar radiation on a daily timescale, with relative humidity showing a negative correlation with H₂O flux. Changes in precipitation, air temperature, soil temperature, and photosynthetically active radiation exhibited stronger positive correlations with H₂O fluxes at monthly and annual timescales than daily timescales. In addition, annual evapotranspiration increased at a rate of ∼100 mm y⁻¹ during the study period, despite precipitation and air temperature showing no apparent increasing trends. Grassland ecosystems in arid Central Asia are expected to emit more H₂O under a warming climate, leading to greater water scarcity and heightened aridity. Our study highlights the importance of conducting long-term continuous eddy covariance and time-series analyses to enhance our understanding of the temporal variability in grassland H₂O exchanges.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134259"},"PeriodicalIF":6.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096127","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":"A hybrid Capsule-Transformer Network for daily runoff forecasting","authors":"Zhaowang Wu,&nbsp;Hua Yan","doi":"10.1016/j.jhydrol.2025.134125","DOIUrl":"10.1016/j.jhydrol.2025.134125","url":null,"abstract":"<div><div>Accurate prediction of daily runoff is crucial for flood prevention and water resource management. However, there exists complex interaction between periodic patterns and sudden fluctuations in hydrological processes. This makes accurate prediction challenging, especially in forecasting extreme events. Current mainstream deep learning methods struggle to simultaneously capture both local temporal dependencies and global temporal correlations. To address this challenge, CTNet (<strong>C</strong>apsule-<strong>T</strong>ransformer <strong>N</strong>etwork) is proposed as a novel hybrid neural network architecture that combines the advantages of time capsule networks and transformers. Specifically, CTNet adopts dynamic routing policy to model different local capsule features, and self-attention mechanisms to learn long-term temporal dependencies, respectively. Furthermore, a cyclic embedding mechanism is proposed to assist in modeling temporal periodicity at different time scales. Extensive experiments was conducted on three datasets: the original Qingxi River basin dataset and two interpolation-enhanced datasets (DI-32 and DI-64). On the original dataset, the mean absolute error (MAE), root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), correlation coefficient (CC), and Willmott’s index (WI) values of CTNet reached 2.79, 10.65, 0.89, 0.945, and 0.971, respectively. It comprehensively outperforms current state-of-the-art models in both runtime and performance.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"663 ","pages":"Article 134125"},"PeriodicalIF":6.3,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057388","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}