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Information Journal Paper

Title

ECOLOGICAL MAPPING MODELS FOR DESERT REVIVAL PRONE AREAS USING LOGIC FUZZY (CASE STUDY: SISTAN PLAIN)

Pages

  1-11

Abstract

 Finding an appropriate land to implement an activity in a particular geographical region became a significant phase of project implementation process especially in regional and national levels. One of the most useful tools in finding the susceptive locations of DESERT REVIVAL is utilization of computerized models. Finding the locations using FUZZY LOGIC and Geographical Information Systems has been utilized in various special fields. This research aimed to determine the appropriate locations of DESERT REVIVAL with the risk degree by using of this model. This research adopted a method based on inspecting and grouping of environmental parameters affecti on preventing desertification. The method is accomplished using available parameters in the region and mapping of these resources were done by using KRIGING and IDW methods; and ultimately specifying a simple model by valuation of FUZZY LOGIC. Results showed that the Fuzzy model Gamma 0.8 had the best compatibility for recognizing the deserts and the susceptive places for combating desertification with high success rate or DESERT REVIVAL risk.

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    APA: Copy

    AHMADIZADEH, S.S., MIR, A., & ZIAEI, M.. (2013). ECOLOGICAL MAPPING MODELS FOR DESERT REVIVAL PRONE AREAS USING LOGIC FUZZY (CASE STUDY: SISTAN PLAIN). ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, 3(1 ), 1-11. SID. https://sid.ir/paper/199763/en

    Vancouver: Copy

    AHMADIZADEH S.S., MIR A., ZIAEI M.. ECOLOGICAL MAPPING MODELS FOR DESERT REVIVAL PRONE AREAS USING LOGIC FUZZY (CASE STUDY: SISTAN PLAIN). ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL[Internet]. 2013;3(1 ):1-11. Available from: https://sid.ir/paper/199763/en

    IEEE: Copy

    S.S. AHMADIZADEH, A. MIR, and M. ZIAEI, “ECOLOGICAL MAPPING MODELS FOR DESERT REVIVAL PRONE AREAS USING LOGIC FUZZY (CASE STUDY: SISTAN PLAIN),” ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, vol. 3, no. 1 , pp. 1–11, 2013, [Online]. Available: https://sid.ir/paper/199763/en

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