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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究... [36]
高能物理研究所 [9]
自动化研究所 [1]
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OAI收割 [49]
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期刊论文 [46]
CNKI期刊论文 [2]
专利 [1]
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2025 [1]
2024 [6]
2023 [3]
2022 [7]
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Physics [5]
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Unravelling spatiotemporal propagation processes among meteorological, soil, and evaporative flash droughts from a three-dimensional perspective
期刊论文
OAI收割
AGRICULTURAL WATER MANAGEMENT, 2025, 卷号: 308, 页码: 16
作者:
Hu, Chen
;
She, Dunxian
;
Wang, Gangsheng
;
Zhang, Liping
;
Jing, Zhaoxia
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/03/31
Flash drought types
Flash drought transition
Spatiotemporal dynamics
Drought events matching
Yangtze River Basin
Soil moisture and precipitation dominate the response and recovery times of ecosystems from different types of flash drought in the Yangtze River Basin
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 卷号: 358, 页码: 16
作者:
Hu, Chen
;
She, Dunxian
;
Wang, Gangsheng
;
Zhang, Liping
;
Jing, Zhaoxia
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/28
Flash droughts
Response time
Recovery time
Flash drought types
Diverge vegetations
Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning
期刊论文
OAI收割
WATER RESEARCH, 2024, 卷号: 263, 页码: 13
作者:
Huang, Sheng
;
Xia, Jun
;
Wang, Yueling
;
Wang, Gangsheng
;
She, Dunxian
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/11/28
Water quality model
Machine learning
Pollution loads
The Yangtze River
Anthropogenic activities
Gated recurrent unit
Water quality prediction based on sparse dataset using enhanced machine learning
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY, 2024, 卷号: 20, 页码: 100402
作者:
Huang, Sheng
;
Xia, Jun
;
Wang, Yueling
;
Lei, Jiarui
;
Wang, Gangsheng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/06/17
Water quality modeling
Sparse measurement
River -lake confluence
Long short-term memory
Load estimator
Machine learning
Parameter Regionalization With Donor Catchment Clustering Improves Urban Flood Modeling in Ungauged Urban Catchments
期刊论文
OAI收割
WATER RESOURCES RESEARCH, 2024, 卷号: 60, 期号: 7, 页码: e2023WR035071
作者:
Hu, Chen
;
Xia, Jun
;
She, Dunxian
;
Jing, Zhaoxia
;
Hong, Si
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/08/22
ungauged urban catchments
parameter regionalization
urban flood simulation
urban hydrological model
clustering method
A warming-induced glacier reduction causes lower streamflow in the upper Tarim River Basin
期刊论文
OAI收割
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 卷号: 53, 页码: 101802
作者:
Liu, Lina
;
Zhang, Liping
;
Zhang, Qin
;
Zou, Lei
;
Wang, Gangsheng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/07/12
Climate change
Streamflow
Glaciers
SPHY model
Upper Tarim River Basin
Precipitation exacerbates spatial heterogeneity in the propagation time of meteorological drought to soil drought with increasing soil depth
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 6, 页码: 10
作者:
Hu, Chen
;
Xia, Jun
;
She, Dunxian
;
Wang, Gangsheng
;
Zhang, Liping
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/07/24
drought propagation
meteorological drought
soil drought
soil depths
China
A Multiplicative-Exponential function to correct precipitation for distributed hydrological modeling in Poorly-gauged basins
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2023, 卷号: 620, 页码: 129393
作者:
Qi, Shanshan
;
Lv, Aifeng
;
Wang, Gangsheng
;
Zhang, Chuanhui
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/05/06
Precipitation correction
Distributed hydrological modeling
Precipitation products
Hydrology backward
Poorly -gauged basins
Climate change rather than vegetation greening dominates runoff change in China
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2023, 卷号: 620, 页码: 9
作者:
Song, Zhihong
;
Xia, Jun
;
Wang, Gangsheng
;
She, Dunxian
;
Hu, Chen
  |  
收藏
  |  
浏览/下载:122/0
  |  
提交时间:2023/10/09
Vegetation greening
Climate change
China
Hydrologic cycle
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
作者:
Wentao Mao
;
Gangsheng Wang
;
Linlin Kou
;
Xihui Liang
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2023/01/16
Anomaly detection
domain adaptation
domain-adversarial training
one-class classification
transfer learning