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

Clicks: 8
ID: 285115
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #33 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
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.
Reference Key
persistent_1760654666_68f1754a96355 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Donguines, Cedric Jerome Carlos
Journal Malay Journal
Year 2024
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdm_civ/37
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.