Impacts of urban land morphology on PM2.5 concentration in the urban agglomerations of China

Ouyang, Xiao; Wei, Xiao; Li, Yonghui; Wang, Xuechao; Klemeš, Jiří Jaromír

doi:10.1016/j.jenvman.2021.112000

Cited by 58 publications

(15 citation statements)

References 35 publications

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“…According to Cheng et al (2020), population urbanization, land urbanization and economic urbanization have a significant impact on PM 2.5 , and PM 2.5 in the Yangtze River Delta has a significant positive spatial autocorrelation and spillover effect. The study of Ouyang et al (2021) confirmed that different development levels of cities have a significant impact on PM 2.5 concentration, but for different urban agglomerations, the impact of land form parameters on PM 2.5 is different.…”

Section: Literature Reviewmentioning

confidence: 68%

Spatio-Temporal Evolution and Correlation Analysis of Urban Land Use Patterns and Air Quality in Pearl River Delta, China

Hong

Qiu

Yang

et al. 2021

Front. Environ. Sci.

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Urban air quality, which is related to the health of local residents of the Pearl River Delta Region, China, (PRD) has been a hot topic among the masses and academic circles. In addition to economic growth, China’s rapidly increasing urbanization rate has also brought great pressure on urban air quality, in the Region, where due to its huge economic size and population, urban air quality has become the focus of local residents. This study first analyzed the spatio-temporal trends and correlation of land use and PM2.5 average annual concentration, which represents air quality in the PRD from 2000 to 2018, and according to Moran index, PM2.5 concentration in this area has spatial correlation in the study time. Secondly, the spatial error model of the PRD was constructed by using spatial effect, spatial modeling theory and spatial model estimation. The spatial-temporal evolution and influencing factors of PM2.5 concentration were discussed in fixed overall effect. The results showed that the area of cultivated land in the PRD decreased and the area of artificial surface increased year by year, while the PM2.5 concentration increased first and then decreased. In addition, the area of cultivated land and forestland were negatively correlated, while the area of grassland and water body were positively correlated with PM2.5 concentration. The conclusion of this study has a certain theoretical reference for urban land use planning and air quality assurance.

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Section: Literature Reviewmentioning

confidence: 68%

Spatio-Temporal Evolution and Correlation Analysis of Urban Land Use Patterns and Air Quality in Pearl River Delta, China

Hong

Qiu

Yang

et al. 2021

Front. Environ. Sci.

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“…For example, the results suggest that an emphasis on conserving (or even enlarging) the area of natural vegetation cover is a means of reducing PM 2.5 pollution [76]. Moreover, adjusting land-use configuration [77], especially in urban areas such as Hangzhou, Shaoxing, and Ningbo, and increasing the proportion of urban green space [78] are known to have moderating effects on atmospheric pollution. Specific measures such as vertical planting, urban wind tunnel design [61], and rational spatial planning of green belts [79] should be encouraged.…”

Section: Discussionmentioning

confidence: 99%

Factors Underlying Spatiotemporal Variations in Atmospheric PM2.5 Concentrations in Zhejiang Province, China

Meadows

et al. 2021

Remote Sensing

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Fine particulate matter in the lower atmosphere (PM2.5) continues to be a major public health problem globally. Identifying the key contributors to PM2.5 pollution is important in monitoring and managing atmospheric quality, for example, in controlling haze. Previous research has been aimed at quantifying the relationship between PM2.5 values and their underlying factors, but the spatial and temporal dynamics of these factors are not well understood. Based on random forest and Shapley additive explanation (SHAP) algorithms, this study analyses the spatiotemporal variations in selected key factors influencing PM2.5 in Zhejiang Province, China, for the period 2000–2019. The results indicate that, while factors influencing PM2.5 varied significantly during the period studied, SHAP values suggest that there is consistency in their relative importance as follows: meteorological factors (e.g., atmospheric pressure) > socioeconomic factors (e.g., gross domestic product, GDP) > topography and land cover factors (e.g., elevation). The contribution of GDP and transportation factors initially increased but has declined in the recent past, indicating that economic and infrastructural development does not necessarily result in increased PM2.5 concentrations. Vegetation productivity, as indicated by changes in NDVI, is demonstrated to have become more important in improving air quality, and the area of the province over which it constrains PM2.5 concentrations has increased between 2000 and 2019. Mapping of SHAP values suggests that, although the relative importance of industrial emissions has declined during the period studied, the actual area positively impacted by such emissions has actually increased. Despite developments in government policy, greater efforts to conserve energy and reduce emissions are still needed. The study further demonstrates that the combination of random forest and SHAP methods provides a valuable means to identify regional differences in key factors affecting atmospheric PM2.5 values and offers a reliable reference for pollution control strategies.

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“…In addition, urban expansion causes changes in the urban form characteristics and affects the interaction relationship between urban expansion and ESs. Ouyang et al [35] analyzed the impacts of urban land morphology on Particulate Matter 2.5 concentrations during 2000-2017 by using the geographically weighted regression model, which showed that a compact urban form was good for promoting air quality, reducing CO 2 emissions, and reliving the urban heat effect; and Peng et al [36] applied linear regression and polynomial regression analysis to explore net primary productivity responses to stages of urban expansion and found that a scattered urban form had a significant negative impact on net primary productivity.…”

Section: Introductionmentioning

confidence: 99%

“…In summary, many studies and practices have focused on the impacts of urban expansion on ESs and found causal relationships between urban growth and ES degradation [32][33][34][35][36]. They provide practice foundations and references for healthy urban development and regional ecological maintenance.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Urban Expansion Forms on Ecosystem Services in Urban Agglomerations: A Case Study of Shanghai-Hangzhou Bay Urban Agglomeration

et al. 2021

Remote Sensing

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Exploring impacts of urban expansion on ecosystem services has become a hot topic for regional sustainable development, while analyzing the ecological effects of urban expansion forms under different expansion intensities and city sizes is relatively rare. Therefore, taking a typical urban agglomeration, Shanghai-Hangzhou Bay Urban Agglomeration, as a case study, this study first analyzed the dynamics of urban expansion forms (leapfrogging, edge-expansion, and infilling) and four critical ecosystem services (carbon sequestration, food supply, habitat quality, and soil retention) in three periods from 1990 to 2019. The multiple linear regression model and zonal statistics analysis model were used to quantitatively identify the impacts of urban expansion forms on ecosystem services, taking into account different expansion intensities and city sizes. The results showed that the urban expansion trend in the study area experienced a morphological change from integration to diffusion and then to integration in 1990–2019; edge-expansion was the dominant expansion form. Food supply decreased continuously while other ecosystem services had fluctuating changes, and they all had spatial heterogeneity. The leapfrogging, edge-expansion, and infilling all had negative impacts on ecosystem services, and among them, the edge-expansion intensity had the highest influence degree in the early expansion, and the leapfrogging intensity occupied the dominant position in all influences with the expansion of urban scales. For different city sizes, the impact of edge-expansion in large-scale cities was greater than in small-scale cities in the early expansion, and the impact of leapfrogging in large-scale cities exceeded the edge-expansion in the subsequent expansion. These findings will help further understand the influential mechanisms between urban expansion and ecosystem services and provide a scientific basis for formulating reasonable urban planning.

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Impacts of urban land morphology on PM2.5 concentration in the urban agglomerations of China

Cited by 58 publications

References 35 publications

Spatio-Temporal Evolution and Correlation Analysis of Urban Land Use Patterns and Air Quality in Pearl River Delta, China

Spatio-Temporal Evolution and Correlation Analysis of Urban Land Use Patterns and Air Quality in Pearl River Delta, China

Factors Underlying Spatiotemporal Variations in Atmospheric PM2.5 Concentrations in Zhejiang Province, China

Impacts of Urban Expansion Forms on Ecosystem Services in Urban Agglomerations: A Case Study of Shanghai-Hangzhou Bay Urban Agglomeration

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