Probabilistic Analysis of Municipal Solid Waste Landfill Slope

Abstract:

Since 2001, the population at the second biggest city of Thailand, Nakhonratchasima has increased more than 10 %, this lead to generate a substantial volume of solid waste. In this situation creates two distinct problems: (i) a lack of cleanliness around the city; and (ii) solid waste disposal. Approximately 189 tonnes of solid waste are generated each day in the city municipality of Nakhonratchasima. Collected waste is currently disposed to an open landfill located on the citys outskirts. The landfill is located at the former waste water treatment oxidation ponds of a starch factory and has an area of 302,000 m². In addition to the 180 tones of domestic waste, another 20 tones of industrial waste are land-filled each day. It is known that the main problem of landslide in Municipal Solid Waste (MSW) come from unstable of slope that caused by height [1,2] and rainfall infiltration condition [3,.The MSW and related research of the slpoe stability of MSW are in the early stage in Thailand and has no standards to control its landfills and rereutlization. Thus, the objective of this study is to investigate the probability slope stability analysis of MSW landfill slope by consider with MSW height and rainfall infiltration condition. This study is conducted using laboratory data and Monte Carlo Simulations (MCS) are carried out to obtain reliability index (β) and probability of failure (P_f) for the stability of landfill slope. The result shown the 2 cases, the first case is investigated on slope 1 : 2 (10 m. Height) and the second case is slope 1:2 (15 m. Height). Two case studies will find out the effect on the rainfall infiltration condition increase40% 60% and 80% of unit weight.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 1490-1493
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.1490
• Online since: November 2013
• Authors: Sanguan Vongchavalitkul
• Keywords: Monte Carlo Simulations, Municipal Solid Waste (MSW), Probability of Failure, Reliability Index

References

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DOI: 10.1680/gein.2.0049

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