GIS BASED SURFACE IRRIGATION POTENTIAL ANALYSIS: (THE CASESTUDY OF UPPER BIRBIR SUB BASIN)

Ayana FikaduTefara
2015
Thisstudy First, identify potential irrigable land and characterize its nature of utility for surface irrigation. In the second stage estimate potential surface water resource for irrigation and determine crop water requirement for very common crops of the study area. Finally, recommend the storage volume demands unless the available water resource would meet the demand of the potential area and crops. The hydrological, meteorological, digital elevation model, soil, Land use, land cover map and
more » ... etc data were gathered from different organization of government and otherconcerned sectors.Once elevation data of the study area were delineated as 90m by 90m resolution, then, characteristics of flow direction, contours and radius of elevation identified. The potential irrigable land was analyzed by using slope, land use/cover and soil in arcGIS, spatial analysis tool to test their suitability individually. The application of the weighted overlay tool was provided to condense overall suitability factors as specific outcome, and suitability was conducted implementing FAO criteria for surface irrigation. Analysis of the water resource potential of the study area was carried out by using hydrological data after filling different gaps observed using techniques like the average mean method and distance power method to screen them for further application. Here, there was, flow duration curve developed, flood frequency tested, low flow analyzed to differentiate between variability existed between time series of the records. The reservoir requirements of the catchment were dealt with dependable flow by mass curve technique. Also crop water requirement of most widely growing crops of the study area viz. Potato and Maize were computed from climatic data as an input depending on the preference of agro climatic condition of the study area using CROPWAT model, version 8. Potentia [...]
doi:10.20372/nadre:1554185295.87 fatcat:kq3d26vxi5anjarlhfaax7k34y