[1]BAI Juan,YANG Sheng-tian,DONG Guo-tao,et al.Estimation of Daily Evapotranspiration Based on the Multi-Source Remote Sensing Data in the Sanjiang Plain[J].Research of Soil and Water Conservation,2013,20(03):190-195.
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Estimation of Daily Evapotranspiration Based on the Multi-Source Remote Sensing Data in the Sanjiang Plain
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
20
Number of periods:
2013 03
Page number:
190-195
Column:
Public date:
2013-06-28
- Title:
- Estimation of Daily Evapotranspiration Based on the Multi-Source Remote Sensing Data in the Sanjiang Plain
- CLC:
- P426.2
- DOI:
- -
- Abstract:
- FAO Penman-Monteith model is employed to estimate daily evapotranspiration in growing season (May to September) in the Sanjiang Plain using the multi-source remote sensing data. The estimation is validated with Bowen ratio data. Results show that (1) The model simulations meet the observed data well, with a correlation coefficient of 0.824 and RMSE of 0.493, respectively. (2) In growing season, monthly evapotranspiration in the Sanjiang Plain has a unimodal distribution in temporal and reached a peak in July. The spatial distribution of the actual evapotranspiration is affected by vegetation cover and rainfall amounts. (3) Net radiation and air temperature are the two main factors affecting the variation of daily evapotranspiration rate in the Sanjiang Plain, then are specific humidity and wind speed. Rainfall is the key factor affecting regional evaporation and it can significantly increase the amount of actual evapotranspiration.
- References:
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