文章基本信息

标题：A Spatial Evapotranspiration Tool at Grid Scale
本地全文：下载
作者：Sivarajah Mylevaganam ; Chittaranjan Ray
期刊名称：Open Journal of Applied Sciences
印刷版ISSN：2165-3917
电子版ISSN：2165-3925
出版年度：2016
卷号：06
期号：01
页码：64-77
DOI：10.4236/ojapps.2016.61007
语种：English
出版社：Scientific Research Publishing
摘要：The drastic decline in groundwater table and many other detrimental effects in meeting irrigation demand, and the projected population growth have force to evaluate consumptive use or evapo-transpiration (ET), the rate of liquid water transformation to vapor from open water, bare soil, and vegetation, which determines the irrigation demand. As underscored in the literature, Pen-man-Monteith method which is based on aerodynamic and energy balance method is widely used and accepted as the method of estimation of ET. However, the estimation of ET is oftentimes carried out using meteorological data from climate stations. Therefore, such estimation of ET may vary spatially and thus there exists a need to estimate ET spatially at different spatial or grid scales/resolutions. Thus, in this paper, a spatial tool that can geographically encompass all the best available climate datasets to produce ET at different spatial scales is developed. The spatial tool is developed as a Python toolbox in ArcGIS using Python, an open source programming language, and the ArcPy site-package of ArcGIS. The developed spatial tool is demonstrated using the meteorological data from Automated Weather Data Network in Nebraska in 2010.
关键词：Evapotranspiration;Penman-Monteith Method;Aerodynamic Method;Energy Balance Method;Python;ArcPy;ArcGIS;Spatial Scale;Geoprocessing;Python Toolbox