Details
| Original language | English |
|---|---|
| Pages (from-to) | 124-146 |
| Number of pages | 23 |
| Journal | International Journal of Environment and Waste Management |
| Volume | 22 |
| Issue number | 1-4 |
| Publication status | Published - 1 Jan 2018 |
Abstract
Urban municipal solid waste (MSW) management in Asia‘s newly industrialised countries remains inefficient with severe effects on human health. For developing sustainable MSW systems, detailed data on urban MSW characteristics are required. This article analyses the data quality and reliability of MSW characteristics by investigating existing datasets and the followed methodologies of data collection from urban areas. The applied methodologies are evaluated in the context of international standards for solid waste analysis. Focusing on MSW datasets from India, it is observed that MSW data vary stronger with decreasing city sizes. Most of the analysed studies did not follow the recommended statistical methods for solid waste analysis. In conclusion, the MSW datasets and the methodologies followed show great variations with limited informative value. For most cities, a MSW analysis in further detail and extend is required before developing a sustainable waste management system.
Keywords
- Data quality, MSW, Municipal solid waste, Newly industrialised countries, Solid waste characterisation, Waste analysis, Waste management
ASJC Scopus subject areas
- Environmental Science(all)
- Environmental Engineering
- Environmental Science(all)
- Waste Management and Disposal
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: International Journal of Environment and Waste Management, Vol. 22, No. 1-4, 01.01.2018, p. 124-146.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Data reliability of solid waste analysis in Asia’s newly industrialised countries
AU - Speier, Christopher J.
AU - Mondal, Moni M.
AU - Weichgrebe, Dirk
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Urban municipal solid waste (MSW) management in Asia‘s newly industrialised countries remains inefficient with severe effects on human health. For developing sustainable MSW systems, detailed data on urban MSW characteristics are required. This article analyses the data quality and reliability of MSW characteristics by investigating existing datasets and the followed methodologies of data collection from urban areas. The applied methodologies are evaluated in the context of international standards for solid waste analysis. Focusing on MSW datasets from India, it is observed that MSW data vary stronger with decreasing city sizes. Most of the analysed studies did not follow the recommended statistical methods for solid waste analysis. In conclusion, the MSW datasets and the methodologies followed show great variations with limited informative value. For most cities, a MSW analysis in further detail and extend is required before developing a sustainable waste management system.
AB - Urban municipal solid waste (MSW) management in Asia‘s newly industrialised countries remains inefficient with severe effects on human health. For developing sustainable MSW systems, detailed data on urban MSW characteristics are required. This article analyses the data quality and reliability of MSW characteristics by investigating existing datasets and the followed methodologies of data collection from urban areas. The applied methodologies are evaluated in the context of international standards for solid waste analysis. Focusing on MSW datasets from India, it is observed that MSW data vary stronger with decreasing city sizes. Most of the analysed studies did not follow the recommended statistical methods for solid waste analysis. In conclusion, the MSW datasets and the methodologies followed show great variations with limited informative value. For most cities, a MSW analysis in further detail and extend is required before developing a sustainable waste management system.
KW - Data quality
KW - MSW
KW - Municipal solid waste
KW - Newly industrialised countries
KW - Solid waste characterisation
KW - Waste analysis
KW - Waste management
UR - http://www.scopus.com/inward/record.url?scp=85052330737&partnerID=8YFLogxK
U2 - 10.1504/ijewm.2018.094101
DO - 10.1504/ijewm.2018.094101
M3 - Article
AN - SCOPUS:85052330737
VL - 22
SP - 124
EP - 146
JO - International Journal of Environment and Waste Management
JF - International Journal of Environment and Waste Management
SN - 1478-9876
IS - 1-4
ER -