GIS modelling for new landfill sites: critical review of employed criteria and methods of selection criteria

Policy makers and the public are increasingly concerned with the determination of landfill-siting input criteria (DLSIC) in landfill modelling procedures as an area of research. Thus, its procedures are complicated and decision makers are increasingly pressured. These procedures can be considerably...

Full description

Saved in:
Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 37; no. 1; pp. 12053 - 12069
Main Authors Abujayyab, Sohaib K. M., Ahamad, Mohd Sanusi S., Yahya, Ahmad Shukri, Bashir, Mohammed J.K., Aziz, Hamidi Abdul
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2016
Subjects
Criteria
Geographic information systems
Human error
Landfill
Landfills
Literature reviews
Modelling
Multivariate analysis
Remote sensing
Waste disposal sites
Online AccessGet full text

Cover

More Information
Summary:Policy makers and the public are increasingly concerned with the determination of landfill-siting input criteria (DLSIC) in landfill modelling procedures as an area of research. Thus, its procedures are complicated and decision makers are increasingly pressured. These procedures can be considerably develop in order to reduce the negative effect of landfill locations on the environment, economy, and society. In this review article, literature related to the developments of 64 models and their procedures in the past 18 years (from 1997 to 2014) were comprehensively survey. DLSIC are determined through a conventional method. The frequency of criterion usage reflects the limitation of Conventional method for DLSIC. Moreover, some of these studies utilize unrelated criteria that are time-consuming, costly, arduous, and fruitless. Potential improvement in Geographic information systems GIS modelling parameter for landfill sites via utilizing multivariate analysis (MVA) instead of Conventional method (CM) through for DLSIC (e.g., Input variables, Accuracy, objectivity, reliability of criteria, time consumption, cost and comprehensiveness) were emphasize. It can be conclude that expenses can be reduce by implementing MVA in DLSIC for landfill modelling using geographic information systems (GIS) based on the corresponding significant level. Moreover, the determined criteria can be accurate, satisfying, sufficient, and free of bias from experts and human error.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/37/1/012053