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.
Reza Mazaheri Jajaie
Abstract
Population growth and the increase in urban migration in the past decades have led to an increase in population density and size of major cities. Unfortunately, this kind of pollution has mostly gone under-noticed. The purpose of this research was to model the correlation between noise pollution level ...
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Population growth and the increase in urban migration in the past decades have led to an increase in population density and size of major cities. Unfortunately, this kind of pollution has mostly gone under-noticed. The purpose of this research was to model the correlation between noise pollution level and landscape metrics of urban structures and vegetation. To do so, 67 stations were selected in different parts of Isfahan and noise parameters were measured at peak traffic hours (16 to 19) during the fall season. Sampling stations were located through a systematic-random method based on the amount of construction, green spaces and structural diversity. There were 27 types of landscapes and three stations were randomly selected in each. In most stations, the noise level was above the permitted level(Residential 45-55, Residential-Commercial 50-60). The advanced regression method of random forest was used for the analysis. Through this method, the most effective metrics identified in different buffers were IJI index, FRAC_MN index, CLUMPY index, CONTIG_MN index, SHAPE_MN index, ENN_MN index. Also, checking of the first six metrics in each of the buffers and land uses showed the importance of the metrics is different. Identification of important metrics in each buffer and land use helps better design urban blocks and their arrangement.