数字化管理平台助力垃圾分类和"无废城市"建设——以浙江省湖州市为例
A DIGITAL MANAGEMENT PLATFORM FOR SUPPORTING MUNICIPAL SOLID WASTE CLASSIFICATION:AN APPLICATION CASE OF HUZHOU,ZHEJIANG
段华波 1周继姣 2赵娜娜 3兰孝峰 3郑睿颖 3付星瑞 4陈瑛 3孙建明5
作者信息
- 1. 华中科技大学环境科学与工程学院,武汉 430037
- 2. 湖州市市容环境卫生管理中心,浙江湖州 313000
- 3. 生态环境部固体废物与化学品管理技术中心,北京 100029
- 4. 伏泰信息科技股份有限公司,江苏苏州 215163
- 5. 伏泰信息科技股份有限公司,江苏苏州 215163;浙江大学工程师学院,杭州 310058
- 折叠
摘要
我国持续稳定的经济社会发展以及居民消费水平的不断提升,产生了大量的城市生活垃圾,是城市建设与可持续发展面临的突出难题.以习近平总书记"绿水青山就是金山银山"理念的诞生地暨"无废城市"建设试点城市——湖州市为例,系统介绍了城市生活垃圾数字化管理平台开发的技术方法和功能板块设计与优化,特别是大数据和信息化技术支撑下的智慧化运维与垃圾分类管理模式;并基于湖州市近5年的生活垃圾产生、分类收集、运输、利用和处置等清单数据及演变趋势,采用生命周期评价方法初步定量评估了平台支撑下的减废降碳协同效益.湖州市生活垃圾管理数字化措施的应用和推广,可为其他城市生活垃圾分类与智慧化管理提供参考.
Abstract
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.
关键词
"无废城市"/数字化/管理平台/碳排放/湖州市Key words
Zero-waste City/digitalization/management platform/carbon emissions/Huzhou引用本文复制引用
基金项目
国家重点研发计划重点专项(2019YFC1908500)
出版年
2024
NETL
NSTL
万方数据