Article ; Online: Fuzzy-based models' performance on qualitative and quantitative land suitability evaluation for cotton cultivation in Sarayan County, South Khorasan Province, Iran.
Environmental monitoring and assessment
2023 Volume 195, Issue 4, Page(s) 488
Abstract: Using appropriate models in the land use planning process will help increase the accuracy and precision of decisions made by designers. The aim of this study was to investigate and compare fuzzy-based models (fuzzy set theory, fuzzy-AHP, and fuzzy-ANP) ... ...
Abstract | Using appropriate models in the land use planning process will help increase the accuracy and precision of decisions made by designers. The aim of this study was to investigate and compare fuzzy-based models (fuzzy set theory, fuzzy-AHP, and fuzzy-ANP) to evaluate the suitability of cotton cultivation in Sarayan region (located in eastern Iran). Twenty-eight land units were selected. Weighted arithmetic means of characteristics were performed in representative soil profiles of each unit. Landform-related characteristics were directly entered into the land suitability evaluation modeling. The land index was calculated using three selective qualitative land suitability model guidelines. Qualitative and quantitative land suitability was estimated. The validity of models was determined by r |
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MeSH term(s) | Fuzzy Logic ; Models, Theoretical ; Iran ; Geographic Information Systems ; Environmental Monitoring/methods ; Soil |
Chemical Substances | Soil |
Language | English |
Publishing date | 2023-03-20 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 782621-7 |
ISSN | 1573-2959 ; 0167-6369 |
ISSN (online) | 1573-2959 |
ISSN | 0167-6369 |
DOI | 10.1007/s10661-023-11109-9 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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