Abstract:
The objective of this research was to develop a GIS-based model of salinity hazard for the Southeast of Esfahan in the centre of Iran and to determine the impacts of natural and manmade land attributes on salinity and waterlogging. GIS techniques were elaborated and the databank of the area was constructed using available spatial data like ground water depth, claypan depth, irrigation canals and drainage network. Probability conditional techniques were used and several regression models were developed, which explain the relationship between soil salinity or waterlogging and each criterion. The regression models explain the sensitivity of each part of a factor to soil salinity. For each attributed factor a hazard map was delineated and the final hazard model prepared by multiplication of all single hazard maps. Comparing the final hazard model and the indicator map of severe saline soils shows that 81% of severe saline soils are located in severe hazardous areas. The resulted hazard map indicates the efficiency of the method for inventory of the susceptible zones to salinity and could be a valuable document for decision makers and engineers.
Page(s):
213-216
DOI:
DOI not available
Published:
Journal: International Journal of Agriculture and Biology, Volume: 10, Issue: 2, Year: 2008