Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data
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 B...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/10/8/1168 |
| _version_ | 1818958934242754560 |
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| author | Xuhui Chen Jinbao Jiang Hui Li |
| author_facet | Xuhui Chen Jinbao Jiang Hui Li |
| author_sort | Xuhui Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T11:33:38Z |
| format | Article |
| id | doaj.art-3476bc66964447e6ad0997042e85c5cb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T11:33:38Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3476bc66964447e6ad0997042e85c5cb2022-12-21T19:42:10ZengMDPI AGRemote Sensing2072-42922018-07-01108116810.3390/rs10081168rs10081168Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE DataXuhui Chen0Jinbao Jiang1Hui Li2College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, ChinaIn 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.http://www.mdpi.com/2072-4292/10/8/1168droughts and floodsTSDIGRACETWSAGRNNprevious researchesrecords |
| spellingShingle | Xuhui Chen Jinbao Jiang Hui Li Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data Remote Sensing droughts and floods TSDI GRACE TWSA GRNN previous researches records |
| title | Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data |
| title_full | Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data |
| title_fullStr | Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data |
| title_full_unstemmed | Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data |
| title_short | Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data |
| title_sort | drought and flood monitoring of the liao river basin in northeast china using extended grace data |
| topic | droughts and floods TSDI GRACE TWSA GRNN previous researches records |
| url | http://www.mdpi.com/2072-4292/10/8/1168 |
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