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

Abstract

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.

Spatiotemporal characteristic analysis of PM2.5 in central China and modeling of driving factors based on MGWR: a case study of Henan Province

“…Unlike that, our results point out the spatial heterogeneity of the effects of most of the influencing factors on PM 2.5 concentrations and reveal the effects of the influencing factors at the optimal scale. It is noteworthy that the proportion of arable land presents a differential effect on PM 2.5 concentration in Henan Province, which is in line with the results of Hong K-r's study ( 62 ). Cultivated land, like common vegetation, can effectively reduce PM 2.5 , but the effect of cultivated land on PM 2.5 mainly depends on the intensity of agricultural activities, so the scientific utilization of cultivated land and the adjustment of its function have a positive effect on the management of PM 2.5 .…”

Understanding Responses of Atmospheric Pollution and its Variability to Contradicting Nexus of Urbanization–Industrial Emission Control in Haldia, an Industrial City of West Bengal

“…These findings are consistent with the findings of WBPCB and other published research (Central Pollution Control Board (CPCB, 2022 ). Unlike the majority of many research findings (Carslaw et al, 2016 ; Hong et al, 2021 ; Kim & Hong, 2022 ; Zhou et al, 2019 ), the improving atmospheric condition does not fit with the deteriorating temporal trends of environmental status, like increasing LST (0.15° C/year), or built-up surface including open land/bareland, etc., around all the industrial wards (ward no. 8, 9, 11 and 13).…”

“…Driven by extensive literature review, particular focus was on three LULC categories as their high potential to regulate atmospheric pollutant concentration; namely built-up areas (including a residential area, industrial area, and open/barren land), vegetation (including natural vegetation and multi-season cropped areas) and water bodies (Hong et al, 2021 ; Xu et al, 2016 ). However, post-harvest, bare soils in the poorly irrigated agricultural field coupled with dry spells after monsoon contribute a considerable amount of particulate matter into the atmosphere as in the case of single-season cultivated areas (Xu et al, 2016 ).…”