DocumentCode :
3062901
Title :
Based on remote sensing processing technology estimating the evaporation from irrigation canals in arid regions
Author :
Suhua Liu ; Shuai Cheng ; Jinxin Zhuang ; Weizhen Wang ; Kobayashi, Takehiko
Author_Institution :
Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2641
Lastpage :
2644
Abstract :
The irrigation of oasis farmland in arid regions mainly depend on water introduced by canals, so evaporation loss from canals is important to water resource, because long canals have been constructed for farmland irrigation and a large deal of water is evaporated from canal surface. In this study, canals in Zhangye (the middle reaches of Heihe River), Gansu, China were taken as the main research object, using data from automatic meteorological station (AWS) and remote sensing image, the evaporation from canal surface was estimated using a model which was under the rule of energy balance and proposed by Y. Mihara, results showed that: (1) when it was sunny, evaporation rate in the daytime was larger than that in the nighttime, but it didn´t change a lot between daytime and nighttime when it was cloudy. Relative humidity was the key factor to the evaporation rate. (2) When it was sunny, cumulative evaporation in the daytime was about twice as much as that in the nighttime, but almost the same in daylight and at night when it was cloudy, humidity also had the greatest impact on this phenomenon.
Keywords :
evaporation; hydrological techniques; irrigation; remote sensing; water resources; AWS; China; Gansu; Heihe River; Zhangye; arid regions; automatic meteorological station; canal evaporation loss; energy balance; evaporation estimation; irrigation canals; oasis farmland irrigation; relative humidity; remote sensing image; remote sensing processing technology; water resource; Abstracts; Cities and towns; Heating; Irrigation; Remote sensing; Heihe River Basin; canals; evaporation; extract; heat balance; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723365
Filename :
6723365
Link To Document :
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