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Waste Management & Research
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Technology selection for MSW treatment in Altiplano areas using FMDM

Jianguo Jiang

Department of Environmental Science and Engineering, Tsinghua University, Beijing, China, jianguoj{at}tsinghua.edu.cn

Zhiying Lou

Department of Environmental Science and Engineering, Tsinghua University, Beijing, China

Siio Hg

Department of Environmental Science and Engineering, Tsinghua University, Beijing, China

Ji Duo

Tibet Energy Resources Research & Demonstration Center, Lhasa, China

Zhong Li

Qinghai Institute of Environmental Research and Design, Xining, China

There are special requirements for municipal solid waste (MSW) treatment caused by lower oxygen content and atmospheric pressure on the Altiplano. The intention of this paper was to analyse the applicability of various technologies to MSW treatment in the Altiplano and select the best one based on the current MSW collection modes and technical levels, using the Fuzzy Mathematical Decision Method (FMDM). Technologies including landfill, incineration, composting, and anaerobic digestion (AD) were compared. The results of the studies showed that AD technology is a new technology which is attractive in economic terms and helpful for environmental harmony. AD can solve the difficulties caused by a high content of organic matter in the MSW, lower atmospheric pressure and oxygen content on the Altiplano. Moreover, it can achieve reduction and recycling of the waste, thereby saving space for treatment and disposal. Using this technology, renewable energy can be recovered to save conventional fuel consumption and the emission of greenhouse gases can be reduced to improve the conservation of the local ecosystem. Putting AD into practice in the Altiplano may be the preferred method of MSW treatment.

Key Words: Municipal waste management treatment • Altiplano • technology selecting • anaerobic digestion • Fuzzy Mathematical Decision

This version was published on October 1, 2009

Waste Management & Research, Vol. 27, No. 7, 634-640 (2009)
DOI: 10.1177/0734242X09103834
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