| Analysis of drought in the oasis of Southern Xinjiang based on the hybrid linear dual source remote sensing evapotranspiration model |
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| DOI：10.7606/j.issn.1000-7601.2019.06.33 |
| Key Words: drought hybrid linear dual source remote sensing evapotranspiration model evapotranspiration drought index (EDI) oasis area in Southern Xinjiang |
| Author Name | Affiliation | | GAO Yulian | Chengdu University of Information Technology, Chengdu, Sichuan 610225, China | | LIU Jinbao | Chengdu University of Information Technology, Chengdu, Sichuan 610225, China | | LIU Weiyang | Institute of Plant Science and Technology, Tarim University, Alar, Xinjiang 843300, China | | YU Jing | Chengdu University of Information Technology, Chengdu, Sichuan 610225, China； Inner Mongolia Tongliao Meteorological Bureau, Tongliao, Inner Mongolia 028000, China | | LIU Zhihong | Chengdu University of Information Technology, Chengdu, Sichuan 610225, China |
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| Abstract: |
| Evapotranspiration was estimated based on mixed linear dual source remote sensing model by using MODIS16 evapotranspiration product data and data of Xinjiang meteorological station from 2001-2014. This article compared the relationship between the MODIS16 evapotranspiration product data, the inversion evapotranspiration and the measured evaporation of the evaporating dish at the meteorological station in the study area. According to evapotranspiration, the evapotranspiration drought index (EDI) was defined, and the EDI anomaly was calculated to analyze the characteristics of drought distribution in the Oasis area. At the same time, the accuracy of drought monitoring was tested by comparing precipitation anomaly. The results showed that the evapotranspiration of MODIS16 products data and the evapotranspiration calculated by the model were highly correlated with measured evapotranspiration data, which indicated that it was feasible to estimate evapotranspiration by using MODIS16 evapotranspiration products data, and also revealed that the estimated evapotranspiration had high reliability. Moreover, as the water supply in the northern part of the Oasis was more abundant, the EDI value tended to decrease spatially from the south to north, and the inter-annual variation of EDI value was obvious and both were greater than 0.6. EDI anomalies changed in phase with EDI, and inversely changed with precipitation anomalies. In the Nanjiang Oasis area of Xinjiang, the EDI value of the five years in 2001, 2007, 2008, 2009 and 2014 was greater than 0.66. Therefore, the EDI anomaly defined the dryness and severity limit EDI value of 0.66. Finally, the larger the EDI value was, the larger the EDI anomaly was, the EDI smaller the precipitation anomaly was and the more severe the drought was. |
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