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浏览/检索结果: 共1069条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 How does gross primary production uncertainty impact evapotranspiration prediction within the carbon-water coupled model? 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2026, 卷号: 670, 页码: 135131 作者:  Huang, Lingxiao;  Wang, Yizhe;  Liu, Meng;  Sun, Yifei;  Fan, Rong   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/04/16 Evapotranspiration  Gross primary production  Carbon-water coupled model  Remote sensing   Advances and challenges in multi-scale water environment system modeling: from process simulation to a novel simulator architecture 期刊论文  OAI收割 ECOLOGICAL MODELLING, 2026, 卷号: 514, 页码: 111498 作者:  Xia, Rui;  Chen, Sheng;  Ding, Yan;  Sun, Mingdong;  Wu, Yali   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Water ecological environment model  Multi-model coupling  Complex system simulators  Source-stream-network-sink  Artificial intelligence   Addressing spatial imbalance and alleviation strategies in the water-land-food nexus across China 期刊论文  OAI收割 APPLIED GEOGRAPHY, 2026, 卷号: 189, 页码: 103940 作者:  Guo, Naliang;  Shi, Chenchen;  Wu, Feng   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Water-land-food nexus  Spatial imbalance  Water-land resources  Food production  Panel regression model   Observation-Constrained Physical Snow Water Equivalent Simulations Using a Physics-Guided Machine Learning Approach 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2026, 卷号: 62, 期号: 3, 页码: e2025WR041406 作者:  Zhao, Wenli;  Fang, Jianing;  Yang, Tao;  Lian, Xu;  Winkler, Alexander J.   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 snow water equivalent  land surface model  bias corrections  machine learning  hybrid model  physics guided   Comprehensive evaluation and obstacle factor analysis of water security in Heilongjiang Province based on water footprint 期刊论文  OAI收割 WATER RESEARCH, 2026, 卷号: 292, 页码: 125314 作者:  Jiang, Lili;  Du, Chong;  Tan, Siyuan;  Zhang, Zhongxue;  Nie, Tangzhe   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Water security  Water footprint theory  DPSIR model  Coupling coordination degree  Heilongjiang Province   Seasonal Variations in Water Use Strategies in a Karst Region 期刊论文  OAI收割 HYDROLOGICAL PROCESSES, 2026, 卷号: 40, 期号: 1, 页码: e70371 作者:  Mu, Yating;  Xiong, Kangning;  Liu, Ziqi;  Liu, Guohua;  Cai, Lulu   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 groundwater dependent ecosystems  MixSIAR model  stable isotopes  water resources management  water uptake pattern  water use efficiency   Substantial Contribution of Woody Components to Rainfall Interception in Chinese Forests: Insights From a Refined Analytical Model 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2025, 卷号: 61, 期号: 12, 页码: e2025WR041189 作者:  Jiang, Zhi-Yun;  He, Wei;  Chen, Zhi-Ang;  Van Stan, John T.;  Guo, Li   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 rainfall interception  woody interception  leaf interception  water storage capacity  Gash model  forests   Evaluating water conservation capacity in the Yellow River water conservation area integrating ecological model and machine learning 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 663, 页码: 134202 作者:  Zhang, Jianglei;  Chen, Shaohui   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 Water conservation capacity  Water conservation quantity  the Yellow River Basin  Ecological model  Variability attribution   Simulating and predicting lake dynamics by fusing HBV modeling, machine learning approach and remote sensing data 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 663, 页码: 134303 作者:  Naeem, Muhammad;  Zhang, Yongqiang;  Ma, Ning;  Tang, Zixuan;  Miao, Ping   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 Hydrological dynamics  HBV model  Machine learning  Random Forest  CA-Markov model  Climate change  Lake area prediction  Water resource management   Shapelet-based decomposition stack machine learning model explains more middle river reaches water level hydrological process with high accuracy early warning 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 662, 页码: 133927 作者:  Huan, Songhua   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/20 Data decomposition  Hydrological process interpretation  River water level  Shapelet  Stack machine learning model