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Allowance and allocation of industrial volatile organic compounds emission in China for year 2020 and 2030.
Zhang, Jiani; Xiao, Jingfang; Chen, Xiaofang; Liang, Xiaoming; Fan, Liya; Ye, Daiqi.
Afiliación
  • Zhang J; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Xiao J; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Chen X; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Liang X; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
  • Fan L; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China; National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, South C
  • Ye D; School of Environment and Energy, South China University of Technology, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China; National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, South C
J Environ Sci (China) ; 69: 155-165, 2018 Jul.
Article en En | MEDLINE | ID: mdl-29941251
ABSTRACT
As an effective pollution control method, emission allowance and allocation just implemented in volatile organic compounds (VOCs) control strategy of China in 2016. This article presents a possible way to set the emission allowance targets and establishes an allowance allocation model for the object year, 2020 and 2030, using 2010 as the reference year. On the basis of regression and scenario analysis method, the emission allowance targets were designed, which were 17.902Tg and 18.224Tg for 2020 and 2030, with an increasing rate of 28.75% and 31.06% compared to 2010. From the perspective of industries, processes using VOCs-containing products, like machinery and equipment manufacturing, would continue to be the most significant industrial VOCs emission sources in the future of China. Four allocation indicators were selected, which are per capita GDP of each province, per capita industrial VOCs emission of each province, the economic contribution of industrial sector to regional economy of each province, and the emission intensity per land area of each province, respectively. Based on information entropy, the weights of the indicators were calculated and an emission allocation model was established, and the results showed that provinces like Shandong, Jiangsu, Guangdong, Zhejiang and Fujian were calculated to obtain more emission allowance while burden more reduction responsibility. Meanwhile, provinces like Guizhou, Ningxia, Hainan, Qinghai and Xizang were on the contrary. This paper suggests governments to enhance or ease to industrial VOCs reduction burden of each province in order to stimulate its economy or change its way of economy development.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Compuestos Orgánicos Volátiles País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Compuestos Orgánicos Volátiles País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2018 Tipo del documento: Article País de afiliación: China