Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data

被引:52
作者
Chen, Xuhui [1 ]
Jiang, Jinbao [1 ]
Li, Hui [1 ]
机构
[1] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
droughts and floods; TSDI; GRACE; TWSA; GRNN; previous researches; records; WATER STORAGE CHANGES; SOIL-MOISTURE; SATELLITE GRAVITY; GROUNDWATER DEPLETION; NORTHWEST INDIA; VARIABILITY; RECOVERY; MODEL; LAND; BIAS;
D O I
10.3390/rs10081168
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, alternating periods of floods and droughts, possibly related to climate change and/or human activity, have occurred in the Liao River Basin of China. To monitor and gain a deep understanding of the frequency and severity of the hydro-meteorological extreme events in the Liao River Basin in the past 30 years, the total storage deficit index (TSDI) is established by the Gravity Recovery and Climate Experiment (GRACE)-based terrestrial water storage anomalies (TWSAs) and the general regression neural network (GRNN)-predicted TWSA. Results indicate that the GRNN model trained with GRACE-based TWSA, model-simulated soil moisture, and precipitation observations was optimal, and the correlation coefficient and the root mean square error (RMSE) of the predicted TWSA and GRACE TWSA for the testing period equal 0.90 and 18 mm, respectively. The drought and flood conditions monitored by the TSDI were consistent with those of previous studies and records. The extreme climate events could indirectly reflect the status of the regional hydrological cycle. By monitoring the extreme climate events in the study area with TSDI, which was based on the TWSA of GRACE and GRNN, the decision of water resource management in the Liao River Basin could be made reasonably.
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页数:21
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