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Advancing the mapping of optimal land use structure in industrialized areas: incorporating AERMOD modeling and MCE approach
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Advancing the mapping of optimal land use structure in industrialized areas: incorporating AERMOD modeling and MCE approach
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Journal Article
Advancing the mapping of optimal land use structure in industrialized areas: incorporating AERMOD modeling and MCE approach
2023
Overview
Land use planning has been mainly implemented based on land capabilities but rarely on land limitations such as air pollution. This study aims to simulate the optimal land use structure by incorporating the air quality into the land use planning process using MCE and MOLA in an industrialized area in Isfahan province, central Iran. To do so, we developed two scenarios as 'with-' and 'without-' considering the air pollution criterion. The optimal land use planning was applied for agricultural, urban, and industrial land uses. PM10 and NOX seasonal (winter) dispersion maps were used as the air pollution criterion which was simulated by AERMOD. We applied the Best Worst Method (BWM) to standardize and weight the physical, ecological, and socio-economic criteria. Accordingly, we used an Ordered Weighted Average (OWA) technique to combine the factors. Assuming 1% (1100 ha) of the land area available for future allocation to each land use, we compared the outcomes of both scenarios revealed a significant difference between the coverage of capable areas. The results of the “with” scenario indicated that approximately 11, 17, and 54% of the area that were, in fact, incapable for agricultural, industrial, and urban developments, respectively. These areas are detected as capable if we leave the air pollution criterion out. The findings demonstrated that to achieve sustainable development, it is necessary to consider dynamic physical land components including air pollution along with ecological, physical, and socio-economic factors.
