Use of evapotranspiration model based on energy balance in the Ebinur Lake Wetland Nature Reserve

Qingsan Shi; Qingdong Shi; Zhi Wang; Wei Gao; Shunli Chang

doi:10.1117/12.836295

9 October 2009 Use of evapotranspiration model based on energy balance in the Ebinur Lake Wetland Nature Reserve

Qingsan Shi, Qingdong Shi, Zhi Wang, Wei Gao, Shunli Chang

Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 74710S (2009) https://doi.org/10.1117/12.836295
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China

Abstract

An evapotranspiration model based on the energy balance for different vegetation types in arid area was built in the study, and applied to the natural ecological system of Lake Ebinur wetland nature reserve in Xinjiang. The spatial-temporal dynamic change of the vegetation evapotranspiration in the study area was computed, and the evapotranspiration of three typical vegetations was analyzed and compared. The ground meteorological data were used to test the model. The results show that the evapotranspiration of all the natural system is about 10mm/d, and the maximum is over 20mm/d and occurs between May and August. The evapotranspiration of three typical arid vegetations was estimated in sequence of Populus euphratica Oliv. Tamarix chinensis Lour. Haloxylon ammodendron (Meye)Bge. Finally, it is suggested that the ground surface vegetation types and arid characteristics are most important in the establishment of the evapotranspiration model of natural ecological system based on energy balance in arid areas.

Citation Download Citation

Qingsan Shi, Qingdong Shi, Zhi Wang, Wei Gao, and Shunli Chang "Use of evapotranspiration model based on energy balance in the Ebinur Lake Wetland Nature Reserve", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710S (9 October 2009); https://doi.org/10.1117/12.836295

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KEYWORDS

Vegetation

Data modeling

Atmospheric modeling

Solar radiation models

Meteorology

Error analysis

Environmental sensing

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