Investigating effective parameters of surface flow and water resources spatial zoning in central Zagross, Iran

Subject Areas : Farm water management with the aim of improving irrigation management indicators

Nasser  Shamskia ¹ (عضو هیات علمی - دانشگاه آزاد اسلامی)
Hossein  Sedghi ² (استاد/دانشگاه آزاد اسلامی)
Mehrdad  Esfandyari ³ (استادیار)

Received: 2016-01-26 Accepted : 2016-04-04 Published : 2017-01-20

Keywords: water resources zoning, multi-variable regression, rainfall-runoff, hydrological parameters,

Abstract :

Various parameters, such as rainfall, region height, evaporation rate, temperature, climate factors, drainage, topography and geology of the basin effect runoff in watersheds. Due to the interrelation of some of the mentioned parameters, their quality and effect on runoff may be different for each region. This paper presents a statistic assessment of the parameters that are effective on runoff and spatial zoning of surface water resources in central Zagross, west of Iran. The results showed a relationship between logarithmic distribution of surface runoff, and temperature and height variables with a 0.795 - 0.851 R2 coefficient of determination, applying statistical analysis and multi-variable regression method for the parameters. Considering 80 selected stations of the studying area with a correlation of 0.923, the runoff distribution in the form of discharge logarithm related to rain logarithm and height variable with confidence level of 95% showed meaningful and acceptable relation .The zoning plan was prepared through ArcGIS software on the basis of weighting effect index of each variable. The analysis of factors which affect runoff formation, and also analysis of the effect of the mentioned variables on preparing zoning plan showed tremendous movement of potentially appropriate water resources regions from south towards north and east of the studying area. Furthermore, there was approximate correspondence between hydrological parameters and determination of suitable water resources location, and statistic multi-variable regression analysis, logistic and weighting index determination of variables methods.

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