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2022 | OriginalPaper | Chapter

Study on the Relationship Between Built-Up Area and PM2.5 Concentration in Jiangsu Province

Authors : Yuyuan Fu, Sheng Zheng, Yuzhe Wu

Published in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

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Abstract

Due to the small area and large population, the per capita capacity of eco-environment in Jiangsu Province is relatively small. So, the rapid urbanization in Jiangsu will inevitably make negative effects on the ecological environment, which PM2.5 pollution is one of the important negative effects of them. Based on the impervious surface data and the average annual PM2.5 concentration from 2000 to 2017, the Environmental Kuznets Curve between the proportion of built-up areas and PM2.5 was established to analyze the impact of urbanization on PM2.5 concentration. The results show that there are differences in PM2.5 pollution patterns among different regions in Jiangsu, which are mainly manifested in the shape of the relationship curve, the location of inflection point and the differences in the pollution stage of each region. The relationship curve of Jiangsu Province, South of Jiangsu and Middle of Jiangsu showed N-type, and only North of Jiangsu showed the inverted-U. Most cities are in the middle section of the N-shaped curve and the right half of the inverted U-shaped curve. Only Huai’an, Yancheng and Suqian in North of Jiangsu are in the first half of the inverted U-shaped curve. In the future, we should pay more attention to the pollution of PM2.5 in urban expansion in these cities.

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Literature
1.
go back to reference Gong, P., Liang, S., Carlton, E.J., et al.: Urbanisation and health in China. Lancet 379(9818), 843–852 (2012)CrossRef Gong, P., Liang, S., Carlton, E.J., et al.: Urbanisation and health in China. Lancet 379(9818), 843–852 (2012)CrossRef
2.
go back to reference Dong, Q., Lin, Y., Huang, J., et al.: Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data. China Econ. Rev. 59, 101381 (2020)CrossRef Dong, Q., Lin, Y., Huang, J., et al.: Has urbanization accelerated PM2.5 emissions? An empirical analysis with cross-country data. China Econ. Rev. 59, 101381 (2020)CrossRef
3.
go back to reference Ali, A., Audi, M., Roussel, Y.: Natural resources depletion, renewable energy consumption and environmental degradation: a comparative analysis of developed and developing world (2021) Ali, A., Audi, M., Roussel, Y.: Natural resources depletion, renewable energy consumption and environmental degradation: a comparative analysis of developed and developing world (2021)
4.
go back to reference Ekawati, S.A., Ali, M., Trisutomo, S., et al.: The study of public open space effectiveness in Makassar waterfront city using Good Public Space Index (GPSI). In: IOP Conference Series: Materials Science and Engineering, vol. 875, no. 1, p. 012003. IOP Publishing, June 2020 Ekawati, S.A., Ali, M., Trisutomo, S., et al.: The study of public open space effectiveness in Makassar waterfront city using Good Public Space Index (GPSI). In: IOP Conference Series: Materials Science and Engineering, vol. 875, no. 1, p. 012003. IOP Publishing, June 2020
5.
go back to reference Liu, Y., Wang, Y., Peng, J., et al.: Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sens. 7(2), 2067–2088 (2015)CrossRef Liu, Y., Wang, Y., Peng, J., et al.: Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sens. 7(2), 2067–2088 (2015)CrossRef
6.
go back to reference Signoretta, P.E., Buffel, V., Bracke, P.: Mental wellbeing, air pollution and the ecological state. Health Place 57, 82–91 (2019)CrossRef Signoretta, P.E., Buffel, V., Bracke, P.: Mental wellbeing, air pollution and the ecological state. Health Place 57, 82–91 (2019)CrossRef
7.
go back to reference Juarez, P.D., Tabatabai, M., Burciaga Valdez, R., et al.: The effects of social, personal, and behavioral risk factors and PM2.5 on cardio-metabolic disparities in a cohort of community health center patients. Int. J. Environ. Res. Public Health 17(10), 3561 (2020)CrossRef Juarez, P.D., Tabatabai, M., Burciaga Valdez, R., et al.: The effects of social, personal, and behavioral risk factors and PM2.5 on cardio-metabolic disparities in a cohort of community health center patients. Int. J. Environ. Res. Public Health 17(10), 3561 (2020)CrossRef
8.
go back to reference Cao, Q., Liang, Y., Niu, X.: China’s air quality and respiratory disease mortality based on the spatial panel model. Int. J. Environ. Res. Public Health 14(9), 1081 (2017)CrossRef Cao, Q., Liang, Y., Niu, X.: China’s air quality and respiratory disease mortality based on the spatial panel model. Int. J. Environ. Res. Public Health 14(9), 1081 (2017)CrossRef
9.
go back to reference Cao, S., Lv, Y., Zheng, H., et al.: Challenges facing China’s unbalanced urbanization strategy. Land Use Policy 39, 412–415 (2014)CrossRef Cao, S., Lv, Y., Zheng, H., et al.: Challenges facing China’s unbalanced urbanization strategy. Land Use Policy 39, 412–415 (2014)CrossRef
10.
go back to reference Sueyoshi, T., Yuan, Y.: China’s regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution. Energy Econ. 49, 239–256 (2015)CrossRef Sueyoshi, T., Yuan, Y.: China’s regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution. Energy Econ. 49, 239–256 (2015)CrossRef
11.
go back to reference Gu, K., Zhou, Y., Sun, H., et al.: Spatial distribution and determinants of PM2.5 in China’s cities: fresh evidence from IDW and GWR. Environ. Monit. Assess. 193(1), 1–22 (2021)CrossRef Gu, K., Zhou, Y., Sun, H., et al.: Spatial distribution and determinants of PM2.5 in China’s cities: fresh evidence from IDW and GWR. Environ. Monit. Assess. 193(1), 1–22 (2021)CrossRef
12.
go back to reference Zhang, L., An, J., Liu, M., et al.: Spatiotemporal variations and influencing factors of PM2.5 concentrations in Beijing, China. Environ. Pollut. 262, 114276 (2020)CrossRef Zhang, L., An, J., Liu, M., et al.: Spatiotemporal variations and influencing factors of PM2.5 concentrations in Beijing, China. Environ. Pollut. 262, 114276 (2020)CrossRef
13.
go back to reference Zhang, Z.H., Hu, M.G., Ren, J., et al.: Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China. Atmos. Pollut. Res. 8(6), 1143–1150 (2017)CrossRef Zhang, Z.H., Hu, M.G., Ren, J., et al.: Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China. Atmos. Pollut. Res. 8(6), 1143–1150 (2017)CrossRef
14.
go back to reference Hao, Y., Liu, Y.M.: The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis. J. Clean. Prod. 112, 1443–1453 (2016)CrossRef Hao, Y., Liu, Y.M.: The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis. J. Clean. Prod. 112, 1443–1453 (2016)CrossRef
15.
go back to reference Gan, T., Liang, W., Yang, H., et al.: The effect of Economic Development on haze pollution (PM2.5) based on a spatial perspective: urbanization as a mediating variable. J. Clean. Prod. 266, 121880 (2020)CrossRef Gan, T., Liang, W., Yang, H., et al.: The effect of Economic Development on haze pollution (PM2.5) based on a spatial perspective: urbanization as a mediating variable. J. Clean. Prod. 266, 121880 (2020)CrossRef
16.
go back to reference Han, L., Zhou, W., Li, W., et al.: Impact of urbanization level on urban air quality: a case of fine particles (PM2.5) in Chinese cities. Environ. Pollut. 194, 163–170 (2014)CrossRef Han, L., Zhou, W., Li, W., et al.: Impact of urbanization level on urban air quality: a case of fine particles (PM2.5) in Chinese cities. Environ. Pollut. 194, 163–170 (2014)CrossRef
17.
go back to reference Lindmark, M.: An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870–1997. Ecol. Econ. 42(1–2), 333–347 (2002)CrossRef Lindmark, M.: An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870–1997. Ecol. Econ. 42(1–2), 333–347 (2002)CrossRef
18.
go back to reference Wang, X.: Urban scale, economic growth, and smog pollution: an empirical study based on panel data of provincial capitals. East China Econ. Manag. 30, 86–92 (2016) Wang, X.: Urban scale, economic growth, and smog pollution: an empirical study based on panel data of provincial capitals. East China Econ. Manag. 30, 86–92 (2016)
19.
go back to reference He, F., Ma, D., Zhu, L.: Study on Environmental Kuznets Curve of haze pollution in China—an empirical analysis based on panel data of the sample of Chinese 30 provinces during 2001–2012. Soft Sci. 30(4), 37–40 (2016) He, F., Ma, D., Zhu, L.: Study on Environmental Kuznets Curve of haze pollution in China—an empirical analysis based on panel data of the sample of Chinese 30 provinces during 2001–2012. Soft Sci. 30(4), 37–40 (2016)
20.
go back to reference Kang, Y.Q., Zhao, T., Yang, Y.Y.: Environmental Kuznets Curve for CO2 emissions in China: a spatial panel data approach. Ecol. Ind. 63, 231–239 (2016)CrossRef Kang, Y.Q., Zhao, T., Yang, Y.Y.: Environmental Kuznets Curve for CO2 emissions in China: a spatial panel data approach. Ecol. Ind. 63, 231–239 (2016)CrossRef
21.
go back to reference Giovanis, E.: Environmental Kuznets curve: evidence from the British household panel survey. Econ. Model. 30, 602–611 (2013)CrossRef Giovanis, E.: Environmental Kuznets curve: evidence from the British household panel survey. Econ. Model. 30, 602–611 (2013)CrossRef
22.
go back to reference Heald, C.L., Spracklen, D.V.: Land use change impacts on air quality and climate. Chem. Rev. 115(10), 4476–4496 (2015)CrossRef Heald, C.L., Spracklen, D.V.: Land use change impacts on air quality and climate. Chem. Rev. 115(10), 4476–4496 (2015)CrossRef
23.
go back to reference Li, X., Gong, P., Zhou, Y., et al.: Mapping global urban boundaries from the global artificial impervious area (GAIA) data. Environ. Res. Lett. 15(9), 094044 (2020)CrossRef Li, X., Gong, P., Zhou, Y., et al.: Mapping global urban boundaries from the global artificial impervious area (GAIA) data. Environ. Res. Lett. 15(9), 094044 (2020)CrossRef
24.
go back to reference Wang, J., Ogawa, S.: Effects of meteorological conditions on PM2.5 concentrations in Nagasaki, Japan. Int. J. Environ. Res. Public Health 12(8), 9089–9101 (2015)CrossRef Wang, J., Ogawa, S.: Effects of meteorological conditions on PM2.5 concentrations in Nagasaki, Japan. Int. J. Environ. Res. Public Health 12(8), 9089–9101 (2015)CrossRef
25.
go back to reference Zhang, Y., Gu, Z.: Air quality by urban design. Nat. Geosci. 6(7), 506 (2013)CrossRef Zhang, Y., Gu, Z.: Air quality by urban design. Nat. Geosci. 6(7), 506 (2013)CrossRef
26.
go back to reference Xia, C., Ye, Y., Zhang, S., et al.: Effects of urban construction land spatial form on PM2.5 dispersion. In: Wu, Y., Zheng, S., Luo, J., Wang, W., Mo, Z., Shan, L. (eds.) Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate, pp. 201–214. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-0855-9_18CrossRef Xia, C., Ye, Y., Zhang, S., et al.: Effects of urban construction land spatial form on PM2.5 dispersion. In: Wu, Y., Zheng, S., Luo, J., Wang, W., Mo, Z., Shan, L. (eds.) Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate, pp. 201–214. Springer, Singapore (2017). https://​doi.​org/​10.​1007/​978-981-10-0855-9_​18CrossRef
27.
go back to reference Zhao, J., Wang, X., Song, H., et al.: Spatiotemporal trend analysis of PM2.5 concentration in China, 1999–2016. Atmosphere 10(8), 461 (2019)CrossRef Zhao, J., Wang, X., Song, H., et al.: Spatiotemporal trend analysis of PM2.5 concentration in China, 1999–2016. Atmosphere 10(8), 461 (2019)CrossRef
28.
go back to reference Wang, Y., Yuan, G., Yan, Y., et al.: Evaluation of sustainable urban development under environmental constraints: a case study of Jiangsu Province, China. Sustainability 12(3), 1049 (2020)CrossRef Wang, Y., Yuan, G., Yan, Y., et al.: Evaluation of sustainable urban development under environmental constraints: a case study of Jiangsu Province, China. Sustainability 12(3), 1049 (2020)CrossRef
30.
go back to reference Wang, S., Xu, L., Ge, S., et al.: Driving force heterogeneity of urban PM2.5 pollution: evidence from the Yangtze River Delta, China. Ecol. Ind. 113, 106210 (2020)CrossRef Wang, S., Xu, L., Ge, S., et al.: Driving force heterogeneity of urban PM2.5 pollution: evidence from the Yangtze River Delta, China. Ecol. Ind. 113, 106210 (2020)CrossRef
31.
go back to reference Yu, Y., Wang, J., Yu, J., et al.: Spatial and temporal distribution characteristics of PM2.5 and PM10 in the urban agglomeration of China’s Yangtze River Delta, China. Pol. J. Environ. Stud. 28(1), 445–452 (2019)CrossRef Yu, Y., Wang, J., Yu, J., et al.: Spatial and temporal distribution characteristics of PM2.5 and PM10 in the urban agglomeration of China’s Yangtze River Delta, China. Pol. J. Environ. Stud. 28(1), 445–452 (2019)CrossRef
32.
go back to reference Hammer, M.S., van Donkelaar, A., Li, C., et al.: Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environ. Sci. Technol. 54(13), 7879–7890 (2020)CrossRef Hammer, M.S., van Donkelaar, A., Li, C., et al.: Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environ. Sci. Technol. 54(13), 7879–7890 (2020)CrossRef
33.
go back to reference Van Donkelaar, A., Martin, R.V., Li, C., et al.: Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environ. Sci. Technol. 53(5), 2595–2611 (2019)CrossRef Van Donkelaar, A., Martin, R.V., Li, C., et al.: Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environ. Sci. Technol. 53(5), 2595–2611 (2019)CrossRef
34.
go back to reference Luo, J., Du, P., Samat, A., Xia, J., et al.: Spatiotemporal pattern of PM2.5 concentrations in mainland China and analysis of its influencing factors using geographically weighted regression. Sci. Rep. 7(1), 1–14 (2017) Luo, J., Du, P., Samat, A., Xia, J., et al.: Spatiotemporal pattern of PM2.5 concentrations in mainland China and analysis of its influencing factors using geographically weighted regression. Sci. Rep. 7(1), 1–14 (2017)
35.
go back to reference Gong, P., Li, X., Zhang, W.: 40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing. Sci. Bull. 64(11), 756–763 (2019)CrossRef Gong, P., Li, X., Zhang, W.: 40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing. Sci. Bull. 64(11), 756–763 (2019)CrossRef
36.
go back to reference Wang, Q., Su, M., Li, R., et al.: The effects of energy prices, urbanization and economic growth on energy consumption per capita in 186 countries. J. Clean. Prod. 225, 1017–1032 (2019)CrossRef Wang, Q., Su, M., Li, R., et al.: The effects of energy prices, urbanization and economic growth on energy consumption per capita in 186 countries. J. Clean. Prod. 225, 1017–1032 (2019)CrossRef
37.
go back to reference Lu, L.: Monitoring urbanization dynamics in the Southeast US using DMSP/OLS nightlight time series. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7280–7282. IEEE, July 2016 Lu, L.: Monitoring urbanization dynamics in the Southeast US using DMSP/OLS nightlight time series. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7280–7282. IEEE, July 2016
38.
go back to reference Wang, X., Tian, G., Yang, D., et al.: Responses of PM2.5 pollution to urbanization in China. Energy Policy 123, 602–610 (2018)CrossRef Wang, X., Tian, G., Yang, D., et al.: Responses of PM2.5 pollution to urbanization in China. Energy Policy 123, 602–610 (2018)CrossRef
39.
go back to reference Al-Mulali, U., Weng-Wai, C., Sheau-Ting, L., et al.: Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecol. Ind. 48, 315–323 (2015)CrossRef Al-Mulali, U., Weng-Wai, C., Sheau-Ting, L., et al.: Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecol. Ind. 48, 315–323 (2015)CrossRef
Metadata
Title
Study on the Relationship Between Built-Up Area and PM2.5 Concentration in Jiangsu Province
Authors
Yuyuan Fu
Sheng Zheng
Yuzhe Wu
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-5256-2_15