Hydrodynamic and Inundation Modeling of China’s Largest Freshwater Lake Aided by Remote Sensing Data

Remote Sensing

Peng Zhang³  Jianzhong Lu⁴  Lian Feng⁴  Xiaoling Chen⁴  Li Zhang²  Xiongwu Xiao⁴  Honggao Liu³  Guy J-P. Schumann¹  George Petropoulos¹  Richard Gloaguen¹ 

[1] Key Laboratory of Ecological Impacts of Hydraulic-Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resources, The Institute of Hydroecology, Ministry of Water Resource and Chinese Academy of Sciences, Wuhan 430079, China;;Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China; E-Mail:;Key Laboratory of Ecological Impacts of Hydraulic-Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resources, The Institute of Hydroecology, Ministry of Water Resource and Chinese Academy of Sciences, Wuhan 430079, China; E-Mails:;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; E-Mails:

关键词: inundation area;    remote sensing;    hydrodynamic model;    Poyang Lake;    current velocity;   

DOI  :  10.3390/rs70404858

来源: mdpi

【 摘 要 】

China’s largest freshwater lake, Poyang Lake, is characterized by rapid changes in its inundation area and hydrodynamics, so in this study, a hydrodynamic model of Poyang Lake was established to simulate these long-term changes. Inundation information was extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data and used to calibrate the wetting and drying parameter by assessing the accuracy of the simulated inundation area and its boundary. The bottom friction parameter was calibrated using current velocity measurements from Acoustic Doppler Current Profilers (ADCP). The results show the model is capable of predicting the inundation area dynamic through cross-validation with remotely sensed inundation data, and can reproduce the seasonal dynamics of the water level, and water discharge through a comparison with hydrological data. Based on the model results, the characteristics of the current velocities of the lake in the wet season and the dry season of the lake were explored, and the potential effect of the current dynamic on water quality patterns was discussed. The model is a promising basic tool for prediction and management of the water resource and water quality of Poyang Lake.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.