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

College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
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Remote Sens. 2018, 10(8), 1168; https://doi.org/10.3390/rs10081168
Received: 20 May 2018 / Revised: 14 July 2018 / Accepted: 20 July 2018 / Published: 24 July 2018
(This article belongs to the Special Issue GRACE Facing the Challenge of Extreme Spatial and Temporal Scales)
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. View Full-Text
Keywords: droughts and floods; TSDI; GRACE; TWSA; GRNN; previous researches; records droughts and floods; TSDI; GRACE; TWSA; GRNN; previous researches; records
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MDPI and ACS Style

Chen, X.; Jiang, J.; Li, H. Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data. Remote Sens. 2018, 10, 1168.

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