Journal of Hydrology最新文献

{"title":"Links of water uptake strategies with physiological characteristics are constrained by climatic conditions for mature apple trees in the loess deposits","authors":"Zelin Wang,&nbsp;Furong Zhang,&nbsp;Jineng Sun,&nbsp;Jiaxin Wang,&nbsp;Zhi Li","doi":"10.1016/j.jhydrol.2025.133432","DOIUrl":"10.1016/j.jhydrol.2025.133432","url":null,"abstract":"<div><div>Exploring the interaction between plant growth and its water uptake patterns is important for the sustainable use of soil water resources in water-limited regions. However, little is known about how climate conditions affect water uptake patterns of apple trees and its link with physiological characteristics (stomatal conductance, leaf water potential, transpiration and assimilation rate). Here, two apple orchards with different tree ages-16 years (A16) and 22 years (A22)-were selected for sampling. We initially collected soil samples down to depths of 20 m, followed by monthly sampling down to 8 m during 2022 (dry year) and 2023 (wet year). Annual branches of apple trees were collected simultaneously with soil samples. We measured water stable isotopes in soil and xylem water monthly, along with physiological characteristics of apple trees, to investigate the relationship between water uptake strategies and physiological characteristics. We found that precipitation indirectly affected water use patterns by influencing shallow soil water. Apple trees exhibited anisohydric regulation, with leaf water potential decreasing as shallow soil water declined and air temperature increased. The stomatal conductance was sensitive to air temperature regardless of shallow soil water. This mechanism helped to maintain high stomatal conductance, thereby buffering the decline in assimilation rates by relying on deep soil water (∼67 %) when the shallow soil water became depleted in 2022, compared to ∼39 % in 2023. Notably, soil water below 6 m was crucial for apple trees to sustain the high assimilation rate (&gt;12 μmol m⁻² s⁻¹), and A22 consumed more soil water below 6 m to sustain high assimilation rates. The results elucidate that depending on deep soil water to sustain stomatal conductance in dry years led to a decrease in soil water deeper than 6 m with stand ages, indicating that apple trees may not be ideal choice for afforestation in the loess deposits.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133432"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923987","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":"Estimating dry bed periods in non-perennial rivers using Sentinel-2 satellite data","authors":"Carmela Cavallo ,&nbsp;Luca Sarno ,&nbsp;Maria Nicolina Papa ,&nbsp;Giovanni Negro ,&nbsp;Paolo Vezza ,&nbsp;Giuseppe Ruello ,&nbsp;Massimiliano Gargiulo","doi":"10.1016/j.jhydrol.2025.133416","DOIUrl":"10.1016/j.jhydrol.2025.133416","url":null,"abstract":"<div><div>Information on the number of dry bed reaches along non-perennial rivers is still lacking, as well as the duration of their non-flow periods. Measurements at conventional gauging stations are not exhaustive due to the high spatial variation of flow rate values and water presence along the non-perennial river network. The availability of moderate-resolution multispectral satellite data from the Sentinel-2 mission offers an unprecedented opportunity to monitor water presence on a broad scale. In this study, we developed a new, automatic approach to detect water, sediments and vegetation along non-perennial rivers by Sentinel-2 satellite imagery. Specifically, we implemented a classification method based on the minimum spectral distance between single pixel’s reflectance and reference spectral signatures, previously obtained from reference images. The classification results are, then, compared with very high-resolution images (resolution of 0.5 m or smaller) acquired by unmanned aerial vehicle and from Google Earth Pro. The performance (F1-score = 0.7) is significantly higher than the ones obtained with the classic algorithm based on the thresholding of Normalized Difference Water Index (F1-score = 0.5). Exploiting the proposed method, we estimated the duration of dry bed condition over two reaches of the Mingardo River (South Italy), from 2017 to 2022. The duration of the dry bed condition resulted to be significantly variable from year to year with the longest and the shortest dry periods respectively, in summer 2017 and in summer 2022. The study demonstrates the feasibility and robustness of using moderate-resolution multispectral images for large-scale monitoring of non-perennial rivers in a cost-effective way.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133416"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912516","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":"Climate variability conceals emerging hydrological trends across Great Britain","authors":"Wilson Chan ,&nbsp;Maliko Tanguy ,&nbsp;Amulya Chevuturi ,&nbsp;Jamie Hannaford","doi":"10.1016/j.jhydrol.2025.133414","DOIUrl":"10.1016/j.jhydrol.2025.133414","url":null,"abstract":"<div><div>Detecting a climate change signal from observed trends in river flows and hydrological extremes is challenging given the limited length of observations and the effects of internal climate variability. There has been an increasing call to better integrate historical observations with model projections, particularly given apparent inconsistencies between observed and projected hydroclimate trends. Here we use the UK as a case study of a region with apparent incongruity between past trends and future projections, such as observed summer wetting but broad agreement between climate models of reduced summer rainfall and river flows. Applying dynamical adjustment shows empirically that internal atmospheric circulation variability was a dominant factor in the observed positive summer rainfall trends over 1981–2010. Characterising the impacts of internal climate variability is crucial to fully appraising the range of possible hydrological extremes in current and future climate. Hence, we use a single model initial condition large ensemble (SMILE), with RCP8.5 forcing, to drive hydrological models at 190 catchments to explore the wide range of past and future river flow and hydrological drought trends that could arise due to internal variability. The results place the observed trends in context, showing that large ensembles are needed to fully capture the range of variability. This includes robust drying and wetting trends that could have occurred, thus in part reconciling the fact that observed trends may at first seem inconsistent with projections. Our results further show that the timing of a robust climate change signal above historical variability (i.e., a Time of Emergence) in river flows may remain obscured for decades due to the range of hydrological variability. There are however clear hotspots, such as decreasing low flows in southwest England, with an imminent ToE. However, a late ToE does not negate the potential for increased risk and adaptation measures should be formulated before a statistically significant climate signal emerges.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133414"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912522","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":"The role of precipitation deficit and potential evapotranspiration excess in triggering flash droughts over China","authors":"Linqi Zhang ,&nbsp;Yi Liu ,&nbsp;Yiping Li ,&nbsp;Liliang Ren ,&nbsp;Shanhu Jiang ,&nbsp;Menghao Wang ,&nbsp;Linyong Wei","doi":"10.1016/j.jhydrol.2025.133413","DOIUrl":"10.1016/j.jhydrol.2025.133413","url":null,"abstract":"<div><div>Flash droughts are characterized by a rapid decline in soil moisture, transitioning from normal to drought conditions within weeks. Driven by water-limited and energy-limited conditions, their swift onset and intensification can severely impact agriculture, ecosystems, and socioeconomic systems. This study analyzed the spatiotemporal patterns of negative precipitation (P) and positive potential evapotranspiration (PET) anomalies by introducing four indices including, time length, average, maximum, and total level during the onset-development of flash droughts across China from 1979 to 2019. Using random forest (RF), Gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost), we constructed the relationship between the rapid rate of intensification (RI) of soil moisture and anomaly features of P and PET. The models’ performance in simulating RI and capturing flash droughts was evaluated, and the contributions of P deficit and PET excess were further quantified. The results indicated that absolute negative P anomalies showed longer time lengths and larger total values than positive PET anomalies, while the opposite trend was for average and maximum values. The proportion of total positive PET anomalies gradually increased over the past 40 years across China. For the models’ performance, RF presented the best performance and showed stronger detection capabilities in most China sub-regions. P deficit was the primary driver of flash drought, especially in northeastern, northern, and southern China, contributing more than 60 %, while PET excess played an important role in the Tibetan Plateau and Xinjiang regions. This study is valuable to advance the understanding of flash drought mechanisms by highlighting the dual roles of P deficit and PET excess.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133413"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928870","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":"The Food-Energy-Water Nexus: Clarifying Misconceptions and Assessing impacts on the Yangtze economic Belt","authors":"Haiyan Jiang ,&nbsp;Slobodan P. Simonovic","doi":"10.1016/j.jhydrol.2025.133409","DOIUrl":"10.1016/j.jhydrol.2025.133409","url":null,"abstract":"<div><div>Food‐Energy‐Water (FEW) Nexus approach has gained increasing popularity in the last decade. However, the FEW nexus approach cuts the interconnectedness of the food, energy, and water sectors with other important sectors such as population, economy, land use, climate, and so on. Our research is to assess the consequence of isolating the FEW nexus from the other complex human-natural systems. To achieve this objective, this paper presents the comparison of the full model of the Yangtze Economic Belt (ANEMI_Yangtze) and its FEW version (ANEMI_Yangtze_FEW). The study concludes that the FEW nexus approach is inadequate for analyzing food, energy, and water interactions within broader human-natural systems. Isolating these sectors from eco-environmental, social, and economic systems may produce misleading or incorrect insights for regional decision-making.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133409"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923989","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":"Warm-wetting and/or warm-drying tendency over Xinjiang, China?","authors":"Gang Wang ,&nbsp;Qiang Zhang ,&nbsp;R. Iestyn Woolway ,&nbsp;Lei Xu ,&nbsp;Hushuang Ma ,&nbsp;Zhifeng Yang","doi":"10.1016/j.jhydrol.2025.133417","DOIUrl":"10.1016/j.jhydrol.2025.133417","url":null,"abstract":"<div><div>Drylands, characterized by fragile ecosystems and severe water shortages, are highly responsive to climatic changes. Recent studies have observed a general wetting trend in Xinjiang, a region covering over one-sixth of China territory and known for its arid climate. However, the spatiotemporal variability of wetting and drying tendencies and their underlying drivers remain poorly understood. Here we utilize the Eulerian moisture tracking model in conjunction with emergent constraining projections to assess trends in moisture dynamics across Xinjiang. Our analysis reveals a prevailing warm-wetting tendency over the past 40 years. We find that moisture influx into Xinjiang predominantly originated from the North Atlantic, traveling through Europe and West Asia, with external sources contributing approximately 89.1 % of the region’s total water vapor. The increased moisture input has driven the observed wetting trend. Constraining projections indicate future increases in precipitation, evaporation, and temperature in Xinjiang, with the rate of change being more pronounced under the SSP585 scenario. Spatially, northern Xinjiang and its mountainous regions exhibit a significant warm-wetting trend, while southern Xinjiang shows a tendency towards warm-drying. Restricting global temperature rises to 1.5 °C above pre-industrial levels, as opposed to 2 °C, could mitigate extreme drying and wetting conditions in the region. These findings underscore the partially wetting trend in drylands and highlight the critical need for stringent climate action to limit global warming to 1.5 °C for effective climate change mitigation.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133417"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903933","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":"The evaluation of the suitability of potential evapotranspiration models for drought monitoring based on observed pan evaporation and potential evapotranspiration from eddy covariance","authors":"Weiqi Liu ,&nbsp;Shaoxiu Ma ,&nbsp;Haiyang Xi ,&nbsp;Linhao Liang ,&nbsp;Kun Feng ,&nbsp;Atsushi Tsunekawa","doi":"10.1016/j.jhydrol.2025.133434","DOIUrl":"10.1016/j.jhydrol.2025.133434","url":null,"abstract":"<div><div>Potential evapotranspiration (PET), representing atmospheric evaporative demand, is a critical variable in drought monitoring and prediction. Currently, more than 100 PET models are available, and the choice of models can lead to large uncertainty in drought monitoring. Here, we are aiming to evaluate the suitability of widely used 33 PET models for drought monitoring against the pan evaporation measurements (Epan) and water-free stress evapotranspiration from eddy covariance observations (EC ET_unstr), for different climate zones of China. We found that the optimal PET models are different for different climate zones as well as drought types. The temperature-based models such as Romanenko and Schendel, along with the mass-transfer-based Brockamp-Wenner model, were most effective for meteorological drought monitoring (monthly Taylor Skill Score, TSS &gt; 0.72) in arid and semi-arid zones, while the radiation-based Irmak model demonstrated high accuracy for agricultural drought monitoring (TSS &gt; 0.67). The radiation-based Jensen-Haise model (monthly TSS &gt; 0.83) and the McGuinness-Bordne model (TSS &gt; 0.47) were suitable for meteorological and agricultural drought monitoring in the humid and semi-humid zones, respectively. The combination and radiation-based models proved more effective for agricultural drought monitoring than the temperature- and mass-transfer-based models because they consider more vegetation effects on PET. The validation through historical drought events further confirmed that the optimal PET models can capture drought events and dynamics. We also found that weaker meteorological droughts in China may also lead to higher agricultural drought risk. This study offers critical guidance on selecting PET models for drought monitoring, and emphasizes the need for further optimization of PET model.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133434"},"PeriodicalIF":5.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924006","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 changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis","authors":"Zaoying Bi ,&nbsp;Shanlei Sun ,&nbsp;Yi Liu ,&nbsp;Ge Sun ,&nbsp;Mengyuan Mu ,&nbsp;Xiaoyuan Li ,&nbsp;Jinjian Li ,&nbsp;Yibo Liu ,&nbsp;Yang Zhou ,&nbsp;Botao Zhou ,&nbsp;Haishan Chen","doi":"10.1016/j.jhydrol.2025.133435","DOIUrl":"10.1016/j.jhydrol.2025.133435","url":null,"abstract":"<div><div>Based on the Shuttleworth–Wallace model, which has considerations of sophisticated physical processes and involves impacts of vegetation dynamics, changes in land use/cover (LUCC) and CO₂ physiological effects, here we investigated the spatial–temporal characteristics of annual potential evapotranspiration (PET) and its two components (potential transpiration (PT) and soil evaporation (PE)) during 1992–2020 and identified their underlying drivers. Globally, the annual PET was 1276.91 mm, with the annual ratios of PT and PE to PET of 44 % and 56 %, respectively. The global mean annual PET, PT, and PE significantly increased by 1.12 mm/yr, 0.44 mm/yr, and 0.67 mm/yr, respectively. Over 48 % of global land, the annual PET changes were controlled by PT, but the rest by PE. Attribution analyses indicated that air temperature was the major contributor of the global mean annual PET, PT, and PE increases, but the determinant factors differed spatially. Although the climate factors as the main contributors of the changes in the three variables had the largest area percentage, more than 16 % of global land showed the dominant factors of Leaf Area Index, CO₂, and LUCC, especially for annual PT and PE changes with an area percentage exceeding 30 %. This study underlines the necessity of separating PET into PT and PE components and examining them individually to better understand PET changes. Also, it provides new and significant insights for an in-depth understanding of PET’s changes from perspectives of changes in climate and vegetation (e.g., vegetation greening and CO₂ physiological effects), as well as LUCC.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133435"},"PeriodicalIF":5.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902016","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":"Sensitivity of permissible aquifer recharge rate to hydrogeological and well design parameters","authors":"Ranveer Kumar,&nbsp;Anurag Ohri,&nbsp;Shishir Gaur","doi":"10.1016/j.jhydrol.2025.133438","DOIUrl":"10.1016/j.jhydrol.2025.133438","url":null,"abstract":"<div><div>The maximum injection rate to an aquifer for a given operational time, hydrogeological and well characteristics, and under the constraints of a permissible head is defined as the Permissible Aquifer Recharge Rate (PARR). A local and global sensitivity analysis (Sobol’s Indices) has been presented to address the important hydrogeological and well parameters in determining PARR for confined and unconfined aquifers. A novel methodology to determine PARR for 3D numerical groundwater models has been discussed, and its implementation in Lower Ain Valley has been presented. PARR’s sensitivity varies with specific parameter interactions, particularly between hydraulic conductivity and vertical anisotropy in unconfined aquifers, whereas confined aquifers show a broader range of influential factors mainly due to interaction between location of the well-screen and the aquifer parameters. The methodology for determining PARR with an adaptive iteration algorithm based on the analytical solution to the well is more efficient and requires fewer iterations. The Lower Ain Valley reveals significant spatial variability in PARR (22–7.48 × 10⁵ m³/day) with aquifer characteristics, highlighting the basin’s strong aquifer storage potential for addressing severe groundwater deficiencies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133438"},"PeriodicalIF":5.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084686","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 multi-attribute decision-making method of cascade reservoir joint scheduling schemes considering water–sediment, eco-environment, and socio-economy in the Yellow River Basin","authors":"Donglin Li ,&nbsp;Jieyu Li ,&nbsp;Yuanjian Wang ,&nbsp;Enhui Jiang ,&nbsp;Wanjie Zhao ,&nbsp;Gang Liu ,&nbsp;Zhifeng Yang","doi":"10.1016/j.jhydrol.2025.133393","DOIUrl":"10.1016/j.jhydrol.2025.133393","url":null,"abstract":"<div><div>Multi-attribute decision making for reservoir scheduling plays a crucial role in promoting the sustainable development of basins, requiring a well-structured evaluation index system and an efficient decision-making method to facilitate scientific scheduling. After obtaining Pareto solutions for the multi-objective scheduling model of cascade reservoirs, a multidimensional evaluation index system encompassing the water–sediment, eco-environment, and socio-economy from a basin system perspective was constructed. A multi-attribute decision-making method based on the modified cumulative prospect theory (MCPT) was then proposed, enabling the evaluation of both single and multiple reservoirs while also supporting scheduling program decisions for various scenarios. The MCPT was applied to the joint scheduling decision making of the Sanmenxia-Xiaolangdi cascade reservoir for multiple typical years in the Yellow River Basin. The results indicated a strong competition between sediment discharge and power generation targets, whereas ecological and power generation targets exhibited a weaker competition. Furthermore, the range and distribution characteristics of the modified whole prospect value (MWPV) varied among the three typical years with sediment discharge, power generation, and ecological water scarcity rate contributing the most significantly to MWPV. The optimal scheduling schemes for abundant, normal, and dry water years were identified as S136, S98, and S345, respectively, all aligned with actual scheduling practices. Compared with conventional decision-making methods, MCPT demonstrated superior sensitivity and suitability for scenarios that require the selection of numerous schemes. These findings offer valuable insights into the coordinated development of water–sediment, eco-environment, and socio-economy within the watershed.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"660 ","pages":"Article 133393"},"PeriodicalIF":5.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901894","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}