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The effects of industrial pollution on ecosystem service value: a case study in a heavy industrial area, China

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Abstract

Industrialization has brought serious pollution problems to the eco-environment and severely weakened the ecosystem services in industry-concentrated areas. There are few studies choosing a heavy industrial city to evaluate the impacts of industrial pollution on ecosystem services and examine the relationships between industrial pollution and ecosystem services. This paper selected Taiyuan, an important energy resources and heavy chemical industry base in China, as a case study to quantitatively analyze the relationships between industrial pollution and ecosystem service value (ESV). The results showed that the pollution level of industrial solid waste decreased first and then increased, the pollution level of industrial wastewater presented a downward-upward-downward trend, whereas the pollution level of industrial waste gas continued to decrease during the study period. The total ESV increased from 8.56 billion Yuan in 2005 to 10.49 billion Yuan in 2017. Climate regulation and hydrology adjustment contributed the most value to the total ESV (more than 60%). The ESV of water supply was negative and decreased the most value (−177.52 million yuan). The fitting regression indicated that the ESV and the pollution levels of industrial wastewater, industrial waste gas and industrial solid waste exhibited significant negative correlations, which could be expressed as quadratic functions. These findings could provide valuable references for the coordination between industrial development and ecological conservation.

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Acknowledgements

The authors are very grateful to Luc Hens (Editor in Chief) and three anonymous referees for their insightful comments and suggestions that have significantly improved this paper. The authors also acknowledge the financial support from Natural Science Foundation of China (No. 72004093).

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Ji, S., Ma, S. The effects of industrial pollution on ecosystem service value: a case study in a heavy industrial area, China. Environ Dev Sustain 24, 6804–6833 (2022). https://doi.org/10.1007/s10668-021-01728-y

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