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
Related Articles
- EP ID EP32845
- DOI -
- Views 338
- Downloads 0
Assessment of protein yield criteria through correlation, regression and path analysis in bread wheat (Triticum aestivum L.) cultivars
Study on relationship among some morphological and agronomic attributes with protein yield of bread wheat cultivars was done in randomized complete block design. Relationship among measured traits were assessed by phen...
The impact of harvest date and coating type on storage of the Valencia Orange varieties, Bazman, Iran
This study, carried out to investigation of the effect of harvest date and coating type on the storage of the Valencia orange varieties using factional experiment based on a randomized complete block design with three...
Mechanical Analysis Kiwi’s texture and skin using Texture Analyzer set
Crop quality in agricultural production is one of the most important indexes. Therefore, during production, measuring and investigating properties affecting on quality are necessary. One of the qualify characteristic i...
Regression modeling of growth indices of Lentil affected by Bio-fertilizers with Superabsorbent polymer
Analyzing growth is a precious method to analyze the quantity of growth, development and production of crops. To study the physiological growth indices of Lentil under rain fed conditions, a factorial test in the rando...
Evaluation of the effect of In vitro potato plantlet density effect on their agronomic attributes and their efficiency on mini-tuber production
Invitro Plantlet characteristics same as leaf area, shoot growth, balanced growth of root and shoot are the main attributes which guarantee subsequent successful growth of plantlet in greenhouse condition. These charac...