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Abstract The evapotranspiration in the Jiangsu-Zhejiang-Shanghai Area during the 2004 and 2013 growing seasons was estimated by integrating the MODIS remote sensing data and using the Surface Energy Balance Algorithm for Land (SEBAL) model, and the model was validated using the surface observation data of the lysimeter. On the basis of summarizing the evapotranspiration time-space expansion method, the crop volatility method was used to expand the regional evapotranspiration on the monthly and seasonal scales, and the evapotranspiration of the regional monthly and seasonal scales was calculated. The results show that the SEBAL model is more suitable for evapotranspiration estimation in this region. The evapotranspiration range of the annual growing season in the Jiangsu-Zhejiang-Shanghai Area is wider, and the southern evapotranspiration is higher in the region. The average evapotranspiration in the regional growing season in 2013 was 758 mm. It was lower than the average evapotranspiration of about 930 mm in the growing season in 2004 . According to the statistics of the average daily evapotranspiration of the growing seasons, the authors have found that the natural land use evapotranspiration of the Jiangsu-Zhejiang-Shanghai Area is higher than that of the artificial land use, while in natural land use, the evapotranspiration is in order of water>forest>beach land>grassland>unused land. For artificial land use, the evapotranspiration of urban area is significantly low, while the evapotranspiration values of paddy fields, dry land and rural area are relatively high, and the difference is insignificant.
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| Keywords
MODIS remote sensing data
Jiangsu-Zhejiang-Shanghai Area
SEBAL algorithm
evapotranspiration
spatial evapotranspiration pattern
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Corresponding Authors:
Lu HAO
E-mail: hl_haolu@163.com
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Issue Date: 18 June 2020
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2020,
Vol. 32
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