Peyman Ghalamkari; Mozhgan Ahmadi Nadoushan
Abstract
Background and purpose: Regarding the status of air pollution in Isfahan, this study aims to evaluate the air quality of Isfahan due to Particulate Matter and find the relationship between landscape patterns and suspended particles. Materials and methods: to measure the concentration of the suspended ...
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Background and purpose: Regarding the status of air pollution in Isfahan, this study aims to evaluate the air quality of Isfahan due to Particulate Matter and find the relationship between landscape patterns and suspended particles. Materials and methods: to measure the concentration of the suspended particles using a Met One dust meter in 52 points, the city was randomly sampled. The land use map of Isfahan city was prepared after downloading satellite images from the site of the United States Geological Survey. The land use map was generated in six classes with the maximum likelihood classification method in Terrset software. To create the distribution map of suspended particles, the information of 52 stations and inverse distance weighting method in ArcGIS 10.5 was used. Landscape metrics (Normalized Entropy, Edge Density, Patch Area, Relative Richness, and Patch Compactness) were used to quantify the pattern of landscape. The landscape metrics were quantified using FRAGSTATS software.Results: The results showed that vegetation has a reducing effect on air pollution. A positive and significant correlation was observed between the amount of suspended particles and relative richness. Moreover, a significant negative correlation was observed between PM2.5 and (NDVI), which means that the amount of suspended particles decreased with increasing vegetation density. Conclusion: In general, by calculating the concentration of suspended particles in Isfahan, it was found that the southwest, south, and southeast are exposed to more suspended particles. The high density of green space landscaping leads to a reduction of particulate matter pollution. From the analysis of changes in suspended particles in the region, it was inferred that the more we move to areas with weaker vegetation, the higher the concentration of suspended particles.
Majid Ghanbarian; Mozhgan Ahmadi Nadoushan
Abstract
Background and purpose: In this study, the vulnerability of Lordegan Plain Aquifer to pollution has been evaluated using DRASTIC, GODS, AVI and ArcGIS 10.5 software. Materials and methods: The Modified DRASTIC model containing eight parameters, is a model to study the hydrogeological properties affecting ...
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Background and purpose: In this study, the vulnerability of Lordegan Plain Aquifer to pollution has been evaluated using DRASTIC, GODS, AVI and ArcGIS 10.5 software. Materials and methods: The Modified DRASTIC model containing eight parameters, is a model to study the hydrogeological properties affecting groundwater pollution. By weighting and combining these parameters in the ArcGIS 10.5, vulnerable areas of the aquifer to pollution were identified. AVI method measured groundwater vulnerability using two physical parameters containing the thickness of each sedimentary rock above the uppermost saturated aquifer surface and estimated hydraulic conductivity. GODS model assessed aquifer vulnerability based on four layers of aquifer type, unsaturated area, surface depth and soil type. Sensitivity analysis was used to to show the effectiveness of the parameters used to evaluate the vulnerability index. Results: The results of this study showed that based on modified DRASTIC model, 14, 76 and 10% of the study area had a moderate, high and very high potential vulnerability to pollution, respectively. The results of AVI model showed that more than 95% of the aquifers had high sensitivity to pollution. The results of the GODS model indicated that 45.3 percent of the region was in low vulnerability class and the rest in the middle vulnerability class. Conclusion: Results indicated that vulnerability assessment models provides valuable tools for authorities and decision makers to manage the Lordegan aquifer.