Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 42 Issue 2
Feb.  2024
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Article Contents
DUAN Huabo, ZHOU Jijiao, ZHAO Nana, LAN Xiaofeng, ZHENG Ruiying, FU Xingrui, CHEN Ying, SUN Jianming. A DIGITAL MANAGEMENT PLATFORM FOR SUPPORTING MUNICIPAL SOLID WASTE CLASSIFICATION: AN APPLICATION CASE OF HUZHOU, ZHEJIANG[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(2): 230-238. doi: 10.13205/j.hjgc.202402027
Citation: DUAN Huabo, ZHOU Jijiao, ZHAO Nana, LAN Xiaofeng, ZHENG Ruiying, FU Xingrui, CHEN Ying, SUN Jianming. A DIGITAL MANAGEMENT PLATFORM FOR SUPPORTING MUNICIPAL SOLID WASTE CLASSIFICATION: AN APPLICATION CASE OF HUZHOU, ZHEJIANG[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(2): 230-238. doi: 10.13205/j.hjgc.202402027

A DIGITAL MANAGEMENT PLATFORM FOR SUPPORTING MUNICIPAL SOLID WASTE CLASSIFICATION: AN APPLICATION CASE OF HUZHOU, ZHEJIANG

doi: 10.13205/j.hjgc.202402027
  • Received Date: 2022-12-23
    Available Online: 2024-04-28
  • Continuous and stable socioeconomic development and improvement of the resident's living conditions in China have resulted in the great generation of municipal solid waste(MSW), which becomes a major barrier toward the sustainable development of cities. This study takes Huzhou in East China, the birthplace of President Jinping Xi's well-known remarks “Lucid Waters and Lush Mountains Are Invaluable Assets”, as well as a national pilot city for implementing “Zero-waste City” practice, as an example. This study systematically described the design and optimization of each functional unit of the intelligent platform, the operation and maintenance, particularly the management level of MSW by an intelligent platform supported by big data and information technology. Based on the inventory data of the generation, classification, collection, transportation, utilization, and disposal of MSW in Huzhou in recent 5 years and its evolution trend, the environmental benefits measured by carbon emission equivalence, from a waste reduction perspective since using the intelligent platform, has been evaluated by using life cycle assessment method. The promotion of smart or intelligent measures for the classification and management of MSW in Huzhou can provide a good reference for other cities.
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