Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data
Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data
复制标题
利用多卫星遥感观测、水文模型和现场数据识别鄱阳湖流域洪水事件
DOI：
10.3390/rs10050713
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发表时间：
2018
期刊：
影响因子：
5
通讯作者：
Wu Yunlong
中科院分区：
文献类型：
--
作者：
Zhou Hao;Luo Zhicai;Tangdamrongsub Natthachet;Zhou Zebing;He Lijie;Xu Chuang;Li Qiong;Wu Yunlong
鄱阳湖是中国最大的淡水湖，以其生态和经济重要性以及频繁的洪水特征而闻名。本研究利用多颗卫星遥感观测数据（例如GRACE、MODIS、Altimetry和TRMM）、水文模型和现场数据来表征2003年至2016年鄱阳湖流域的洪水现象。为了提高鄱阳湖流域陆地水储量（TWS）估计的准确性，在GRACE处理中引入了改进的正演模拟方法。首次使用船上观测的污染噪声对该方法进行了评估。谱域和空间域的结果表明该方法在抑制高频噪声同时减少信号损失方面具有良好的性能。应用正演建模方法后，由 GRACE 球谐系数得出的 TWS 表现出与鄱阳湖流域新发布的 CSR Release05 mascon 产品所得出的解决方案相当的性能。 2010年和2016年的洪水事件是根据GRACE和水文模型得出的非季节性TWS的正异常来识别的。洪水特征也与 MODIS 数据估计的最大淹没面积相吻合，2010 年和 2016 年观测面积分别为 3370.3 平方公里（比长期平均值高 30%）和 3445.0 平方公里（比长期平均值高 33%）。 2010年湖口站水位超过警戒水位的时间为25天，2016年为28天。这些连续超警水位也意味着严重的洪水事件，这主要是由当地雨季降雨量充沛（2010年1528毫米，2016年1522毫米）驱动的。
The Poyang Lake, the largest freshwater lake in China, is famous for its ecological and economic importance as well as frequent flood characteristics. In this study, multiple satellite remote sensing observations (e.g., GRACE, MODIS, Altimetry, and TRMM), hydrological models, and in situ data are used to characterize the flood phenomena over the Poyang Lake basin between 2003 and 2016. To improve the accuracy of the terrestrial water storage (TWS) estimates over the Poyang Lake basin, a modified forward-modeling method is introduced in the GRACE processing. The method is evaluated using the contaminated noise onboard observations for the first time. The results in both spectral and spatial domains infer a good performance of the method on the suppression of high-frequency noise while reducing the signal loss. After applying forward-modeling method, the TWS derived from the GRACE spherical harmonic coefficients presents a comparable performance with the solution derived from the newly released CSR Release05 mascon product over the Poyang Lake basin. The flood events in 2010 and 2016 are identified from the positive anomalies in non-seasonal TWSs derived by GRACE and hydrological models. The flood signatures also coincide with the largest inundated areas estimated from MODIS data, and the observed areas in 2010 and 2016 are 3370.3 km2 (30% higher than the long-term mean) and 3445.0 km2 (33% higher), respectively. The water levels in the Hukou station exceed the warning water level for 25 days in 2010 and 28 days in 2016. These continuous warning-exceeded water levels also imply the severe flood events, which are primarily driven by the local plenteous precipitation in the rainy season (1528 mm in 2010, 1522 mm in 2016).