Using multivariate regression model & GIS to Site selection of Rain Water Harvesting (RWH)
Journal Title: International Journal of Farming and Allied Sciences - Year 2016, Vol 5, Issue 3
Abstract
Site selection for Rain Water Harvesting (RWH) technique is one of the most important challenges to obtain more water to increasing production of cultivation in semi humid and semi arid areas. GIS methods and statistical analysis can combine to product applied maps and models to determine the best site selection for (RWH) technique. in this research used multi variate regression model and GIS to site selection for RWH technique, vegetation, land use, precipitation, slope and drainage(density of streams) used as independent variable and rank for RWH technique used as dependent variable. Results show that there is meaningful relation between dependant and independent variable in one percent platform. Combination of GIS and multi variate regression model is beneficial for aim of this research.
Authors and Affiliations
Siamak Dokhani
Keywords
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