Suspended Sediment Transport Modeling of Poyang Lake in the Wet Season Based on Remote Sensing Data

被引：0
|
作者：
Zhang P. [1 ]
Chen X. [2 ]
Lu J. [2 ]
Zhang W. [3 ]
Xiao X. [2 ]
机构：
[1] Key Laboratory of Ecological Impacts of Hydraulic-Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resource, Institute of Hydroecology, Ministry of Water Resource and Chinese Academy of Science, Wuhan
[2] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
[3] Sichuan Engineering Research Center for Emergency Mapping & Disaster Reduction, Chengdu
来源：
Chen, Xiaoling (cecxl@yahoo.com) | 1600年 / Editorial Board of Medical Journal of Wuhan University卷 / 42期
基金：
中国国家自然科学基金;
关键词：
Delft3D; Numerical simulation; Poyang Lake; Remote sensing; Substrate; Suspended sediment;
D O I：
10.13203/j.whugis20140880
中图分类号：
学科分类号：
摘要：
Suspended sediment is one of the important factors of water quality and aquatic ecosystem for lakes. A two-dimensional sediment transport model of Poyang Lake was established in the wet season. The lake substrate data obtained from remote sensing image was used to perform parameter sensitivity analysis of the sediment transport model, and then the model parameters were calibrated based on the insitu measured sediment concentration in the area with different lake substrate type. The model was used to forecast the sediment transport of Poyang Lake during its high water period in 2013. Model validation showed the square root mean error is 19.8 mg/L and the R2 is 0.78 for the simulated sediment concentration, revealing a good performance of the model. Spatial distribution of sediment concentration from the model results and remote sensing images showed a satisfactory spatial consistence, further indicating the ability of the model to simulate the sediment transport of Poyang Lake. This study provides a reliable method to monitor the water environment dynamic of lakes and makes a foundation for further studying the water environment dynamic of Poyang Lake. © 2017, Research and Development Office of Wuhan University. All right reserved.
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页码：369 / 376
页数：7
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