A hybrid spatial multicriteria decision analysis framework for sanitary landfill site suitability mapping: A case of Rizal, Philippines

Date of Publication

1-26-2024

Document Type

Master's Thesis

Degree Name

Master of Science in Civil Engineering

Subject Categories

Civil Engineering | Engineering

College

Gokongwei College of Engineering

Department/Unit

Civil Engineering

Thesis Advisor

Jonathan R. Dungca

Defense Panel Chair

Joenel G. Galupino

Defense Panel Member

Mary Ann Q. Adajar

Erica Elice S. Uy

Abstract/Summary

This research was driven by the persisting issue of solid waste management in developing countries. As is well known, proper solid waste management is inextricably linked to proactive sanitary landfill planning, as sanitary landfills are the ultimate disposal sites for municipal solid waste (MSW). Determination of prospective landfill sites, however, proves to be a formidable challenge given the number of environmental, social, and economic issues it concerns. This is not to mention the expansion of built-up areas and, consequently, burgeoning waste generation, which further complicate the site selection process. This calls for a systematic approach to evaluating the suitability of a site for sanitary landfilling. On that account, this study presents a hybrid spatial multicriteria decision analysis (MCDA) framework, which is based upon the combination of the Bayesian Best-Worst Method (BWM) and ordered weighted averaging (OWA) under a geographic information system (GIS) environment. The Bayesian BWM facilitates the solicitation and aggregation of the preferences of multiple expert respondents, while OWA incorporates levels of risk in suitability mapping. Through the case of Rizal, this study demonstrates the reliability of the framework when applied to sanitary landfill site suitability analysis.

Seventeen evaluation criteria were identified: groundwater depth, proximity to surface waters, proximity to water wells, geology, soil type, slope, proximity to protected areas, land use and land cover, elevation, proximity to roads, proximity to sensitive land users, and proximity to airports, proximity to active faults, liquefaction susceptibility, flood susceptibility, earthquake-induced landslide susceptibility, and rain-induced landslide susceptibility. A thematic layer was produced for each criterion, standardized using a fuzzy membership function. These layers were assigned weights by soliciting the preferences of expert respondents through the Bayesian BWM. Finally, the weighted criterion layers were superimposed using OWA, generating various suitability maps representing different decision strategies.

While only 7.57% of the case area is unrestricted, the risk-neutral map revealed a highly suitable location in the eastern portion of Rizal Province that is sufficiently large for landfilling. Moreover, as OWA permits the adjustment of risk levels, other maps with different spatial distributions of sanitary landfill site suitability were presented. It is then the prerogative of landfill proponents to choose the decision strategy and, in turn, the suitability map to be employed.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Refuse and refuse disposal; Refuse and refuse disposal—Location—Philippines

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Embargo Period

1-26-2024

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