| Spatiotemporal characteristics of drought in the Hetao irrigation district based on remote sensing data from multi\|sources |
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| DOI：10.7606/j.issn.1000-7601.2020.04.34 |
| Key Words: agricultural drought SWDI remote sensing spatiotemporal distribution of drought Hetao Irrigation District |
| Author Name | Affiliation | | NIU Qiankun | College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China | | LIU Liu | College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China | | CHENG Qiuya | College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China | | LI Hao | College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China |
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| Abstract: |
| The China Meteorological Administration land data assimilation system (CLDAS) was used to evaluate the applicability of the Soil Moisture Active Passive (SMAP) dataset. The soil water deficit index (SWDI) and percentage of drought week (PDW) were calculated to investigate the spatiotemporal evolution of agricultural drought in the Hetao Irrigation District (HTID). The accuracy of SWDI was examined by comparing with the atmospheric water deficit (AWD) that calculated based on the China Meteorological Assimilation Datasets for SWAT model (CMADS) dataset. The main results were as following: (1) A good applicability of soil moisture produced by SMAP was demonstrated in the HTID. At the regional scale, temporal variation trends of soil moisture between SMAP and CLDAS was consistent and the mean correlation coefficient of the whole irrigation area was 0.65. At the grid scale, approximately 69% of grids showed a high correlation (R>0.5), which was mainly located in the Southwest and Northeast of the HTID. (2) Severe drought mainly occurred in three periods (from the end of April to the mid\|May, from the end of July to the end of August, and from the mid\|September to mid\|October, respectively) and concentrated in the Southwest, Middle and East of the HTID. The values of PDW during 2015-2016 increased slightly, implying a prolonged duration of drought events. (3) Except for topographical factors, the correlation between SWDI and AWD was very significant with half of the grids passing the significance test of 0.01, indicating that investigation of drought conditions in the HTID based on SWDI derived from SMAP is credible. |
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