Faculty of Environment, University of Tehran, Tehran, Iran
Abstract
The population growth expands different types of urban, residential and industrial functions that are worrying for agricultural lands. So, understanding the capacity of land and land allocation to consistent applications with its features is essential. In order to determine the suitability of land for agricultural activities has conducted. So we can help the planners to achieve sustainable development. In this re-search, maps got fuzzy in Idrisi environment using Analytic Network Process (ANP) and finally the respective zones in GIS environment and the final map indicating areas with good potential for agricultural development was obtained. The results showed in this research the approach of Weighted Linear Combination (WLC), despite its simplicity, it has some disadvantages, like overestimation, while in the Ordered Weight Analysis (OWA) algorithm; the result of locating has finer resolution. In the area of study, in WLC, 57.58 percent of area is in suitable and relatively suitable zone and in OWA, 51.54 per-cent of the area is in suitable and relatively suitable area. Due to the final map the most suitable area of agricultural development is in the southeastern part of the city, from northeast to south. These zones, because of lower slope, good soil and less erosion are highly suitable for agricultural development.
Shadkam Birak Olia, S., Nasehi, S., & Karimi, S. (2016). Determining optimal location of agriculture based on multi criteria evaluation in GIS (case study: Dezful city). Journal of Environmentally Friendly Processes, 4(3), 60-70.
MLA
S Shadkam Birak Olia; S Nasehi; S Karimi. "Determining optimal location of agriculture based on multi criteria evaluation in GIS (case study: Dezful city)". Journal of Environmentally Friendly Processes, 4, 3, 2016, 60-70.
HARVARD
Shadkam Birak Olia, S., Nasehi, S., Karimi, S. (2016). 'Determining optimal location of agriculture based on multi criteria evaluation in GIS (case study: Dezful city)', Journal of Environmentally Friendly Processes, 4(3), pp. 60-70.
VANCOUVER
Shadkam Birak Olia, S., Nasehi, S., Karimi, S. Determining optimal location of agriculture based on multi criteria evaluation in GIS (case study: Dezful city). Journal of Environmentally Friendly Processes, 2016; 4(3): 60-70.