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    Comparison of Three GIS-Based Hydrological Models 

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 005
    Author(s): Zhi-Jia Li; Ke Zhang
    Publisher: American Society of Civil Engineers
    Abstract: Three geographic information system (GIS)-based distributed hydrological models were developed for flood simulation and forecasting in a subbasin of the Yellow River. A grid-and-topography-based distributed hydrological ...
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    Application of a Developed Grid-Xinanjiang Model to Chinese Watersheds for Flood Forecasting Purpose 

    Source: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 009
    Author(s): Cheng Yao; Zhi-jia Li; Hong-jun Bao; Zhong-bo Yu
    Publisher: American Society of Civil Engineers
    Abstract: A distributed rainfall-runoff model, Grid-Xinanjiang model based on the topographical information of each grid cell extracted from the digital elevation model (DEM), was developed to simulate the hydrologic processes within ...
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    Rainfall Estimation Method Based on Multiple-Doppler Radar over the Huaihe River Basin 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 011
    Author(s): Jin-yin Ye; Yong Huang; Zhi-jia Li; Zhong-bo Yu
    Publisher: American Society of Civil Engineers
    Abstract: A prompt availability of precipitation intensity is crucial for accurate and effective flood forecast. When radars are coordinated, the mosaic of weather radar can perform rainfall estimation over large areas. This study ...
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    Improved Neural Network Model and Its Application in Hydrological Simulation 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 010
    Author(s): Zhi-jia Li; Guang-yuan Kan; Cheng Yao; Zhi-yu Liu; Qiao-ling Li; Shuang Yu
    Publisher: American Society of Civil Engineers
    Abstract: When applying a back-propagation neural network (BPNN) model in hydrological simulation, researchers generally face three problems. The first one is that real-time correction mode must be adopted when forecasting basin ...
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