A comparison study of bottom-up and top-down methods for analyzing the physical composition of municipal solid waste
文献类型：期刊论文
| 作者 | Zhou, Chuanbin; Ma, Shijun; Yu, Xiao; Chen, Zhuqi; Liu, Jingru; Yan, Li |
| 刊名 | JOURNAL OF INDUSTRIAL ECOLOGY
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| 页码 | - |
| 关键词 | artificial neural network composition data inversion algorithm material flow analysis (MFA) municipal solid waste |
| ISSN号 | 1088-1980 |
| 英文摘要 | Municipal solid waste (MSW) management is a crucial issue in socioeconomic metabolism and requires multicategory and high-resolution data, and data on the physical composition of municipal solid waste (PCMSW) are fundamental in MSW research. Extensive financial resources have been invested in the research on field investigations of PCMSW; however, it is time-consuming and sometimes not truly representative of the studied case. In this work, two bottom-up and two top-down approaches were applied for analyzing the PCMSW, namely, field investigation (FI), BP neural network (BPNN), material flow analysis (MFA), and inversion algorithm based on electricity generation of waste incinerator (IAEI). Wuhan City, China, was chosen as the studied case for analyzing and comparing the PCMSW results. The PCMSW values obtained by applying those four methods showed acceptable differences, and the standard deviations of organic fraction, ash and stone, paper, plastic and rubber, textile, wood, metal, glass, and others were 3.94%, 2.77%, 6.57%, 2.22%, 2.49%, 1.36%, 0.53%, 1.19%, and 0.28%, respectively. Use of the MFA, BPNN, and IAEI methods could reduce time and labor spent on manual sampling, sorting, and weighing of MSW, compared to the FI method. BPNN algorithm advances in providing PCMSW data in history and by trajectory throughout the year, whereas IAEI contributes PCMSW data with much higher temporal resolution. Data quality and applicability of different methods were discussed, considering the availability of time, labor, and reference data. |
| WOS研究方向 | Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45390]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Wuhan Inst Environm Sanitat Sci, Wuhan, Peoples R China 2.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China 3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China 4.Huazhong Univ Sci & Technol, Sch Chem & Chem Engn, Wuhan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Chuanbin,Ma, Shijun,Yu, Xiao,et al. A comparison study of bottom-up and top-down methods for analyzing the physical composition of municipal solid waste[J]. JOURNAL OF INDUSTRIAL ECOLOGY:-. |
| APA | Zhou, Chuanbin,Ma, Shijun,Yu, Xiao,Chen, Zhuqi,Liu, Jingru,&Yan, Li. |
| MLA | Zhou, Chuanbin,et al."A comparison study of bottom-up and top-down methods for analyzing the physical composition of municipal solid waste".JOURNAL OF INDUSTRIAL ECOLOGY |
入库方式： OAI收割
来源：生态环境研究中心
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