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作者:

Li, Xianying (Li, Xianying.) | Xu, Feng (Xu, Feng.) | Xiang, Nan (Xiang, Nan.) | Wang, Yating (Wang, Yating.) | Zhang, Yingkui (Zhang, Yingkui.)

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SSCI Scopus SCIE

摘要:

The leather industry has contributed significantly to economic development, but serious water environmental problems have arisen due to manufacturing processes in this industry. The leather industry must implement sustainable development by improving cleaner production capabilities under the Chinese ecological development background. The Xinji industrial park in China has the largest leather production base in which the leather industry is the leading industry that contributes nearly 50% of economic gains. This study investigated optimal cleaner production strategies for the leather industrial park by adopting an improved multi-objective simulation approach integrating the environmentally extended input-output and system dynamics models. Simulations were able to estimate the socio-economic and water environment development of the Xinji industrial park from 2015 to 2025. Adopting cleaner approaches, including production efficiency enhancing, sewage pre-treatment facility construction in leather companies, and reclaimed water recycling, simulation results indicated that, with steady economic growth (optimal 7.7% annual growth rate), it is possible to conserve 18% of the water resources, with an 80 % and 90% reduction for the chemical oxygen demand (COD), ammonia (NH3-N) water pollutant emission intensity, respectively. The cleaner development path and measures analyzed in this study are of great significance to promote the sustainable development of leather industrial parks.

关键词:

environmentally extended input-output model system dynamics leather industry multi-objective optimization

作者机构:

  • [ 1 ] [Li, Xianying]Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China
  • [ 2 ] [Xu, Feng]Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China
  • [ 3 ] [Wang, Yating]Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China
  • [ 4 ] [Zhang, Yingkui]Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China
  • [ 5 ] [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

通讯作者信息:

  • [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

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来源 :

SUSTAINABILITY

年份: 2019

期: 23

卷: 11

3 . 9 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:167

JCR分区:2

被引次数:

WoS核心集被引频次: 12

SCOPUS被引频次: 13

ESI高被引论文在榜: 0 展开所有

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