Published in

Elsevier, Journal of Cleaner Production, (112), p. 3028-3039

DOI: 10.1016/j.jclepro.2015.10.125

Links

Tools

Export citation

Search in Google Scholar

Eco-efficiency Analysis of Sludge Treatment Scenarios in Urban Cities: the Case of Hong Kong

Journal article published in 2015 by Chor-Man Lam, Po-Heng Lee, Shi-Chien Hsu ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Red circle
Postprint: archiving forbidden
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Urbanization is unrelenting due to rapid world population growth, necessitating a sustainable assessment with consideration of environmental impact to minimize resources inputs and waste outputs. An eco-efficiency analysis (EEA) framework has been developed to evaluate urban sludge handling options. Assessment of economic cost and environmental impact has revealed the suitability of the framework in urban application, as demonstrated by a case-study assessment of five sewage sludge management scenarios in Hong Kong. Land cost considerations, which are trivial in rural areas, have been revealed to be crucial in urban cities by the recognition of consequential sensitivity to high urban land costs. Furthermore, separate and detailed assessment of sludge treatment facilities based on actual transportation data are also highly significant because the accumulated GHG emissions associated with transportation can vary up to 187,000 tons when using single transportation distance assumptions. By the inclusive evaluation of sludge scenarios instead of individual treatment technology, comprehensive and informative results were obtained for sustainable town planning and sludge management. The EEA framework for urban sludge management developed in this study, which considers the economic and environmental aspects of the scenarios, enables informed sustainable town planning based on the priorities of the decision makers.