Abstract

The deterioration of air quality in urban areas is often closely related to urbanization, as this has led to a significant increase in energy consumption and the massive emission of air pollutants, thereby exacerbating the current state of air pollution. However, the relationship between urban development and air quality is complex, thus making it difficult to be analyzed using traditional methods. In this paper, a framework integrating spatial analysis and statistical methods (based on 170 regression models) is developed to explore the spatial and temporal relationship between urban land use patterns and air quality, aiming to provide solid information for mitigation planning. The thresholds for the influence of urban patterns are examined using different buffer zones. In addition, the differences in the effects of various types of land use pattern on air quality were also explored. The results show that there were significant differences between 1999 and 2013 with regards to the correlations between land use patterns and air pollutant concentrations. Among all land uses, forest, water and built-up areas were proved to influence concentrations the most. It is suggested that the developed framework should be applied further in the real-world mitigation planning decision-making process

Highlights

  • The intensification of global urbanization has exacerbated the negative impact of various environmental factors in urban areas, threatening the sustainability of future urban development on multiple fronts

  • The largest patch index (LPI) indicated that the LPI of transportation, which increased by 1.00% and showed greater patch aggregation, was the highest for both years (Figure 6d) and that of agriculture and forest decreased by 5.92% and 1.79%, respectively, and showed decreased aggregation

  • After considering whether the regression models reached the significance level (p < 0.05), we found that the regression models between carbon monoxide (CO) and the percentage of land (PLAND), TE, edge density (ED), AREA_MN, GYRATE_AM, and aggregation index (AI) of each land use type all reached the significance level

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Summary

Introduction

The intensification of global urbanization has exacerbated the negative impact of various environmental factors in urban areas, threatening the sustainability of future urban development on multiple fronts. Based on the aforementioned studies, we can see that research on urban land use and air quality is becoming increasingly important It is the types of land use, and the patterns and structures of land use that can have an impact on urban functions and air pollution [2,6,13,16]. The impact of urban land use patterns on pollutant emissions can be explored through population density, emissions from motorized vehicles, and street layout among other factors [2,14,15]. Gaining a better understanding of the relationship between urban spatial patterns and air quality will help us to determine the most effective use of urban land that will enable the healthier development of cities [6,17]. HHeennccee,, tthhee NNoorrtthheerrnn TTaaiiwwaann AAiirr QQuuaalliittyy RReeggiioonn

Research Framework
Land Use Data and Landscape Analysis
RReessuullttss
Change in Urban Land Use Patterns
Relationship between Land Use Patterns and Air Quality
Relationship between land use patterns and air quality
Spatial Relationship between Land Use Types and Air Quality in 1999
Spatial Relationship between Land Use Types and Air Quality in 2013
Summary
Discussions
Findings
Conclusions
Full Text
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