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

被引:16
|
作者
Abujayyab, Sohaib K. M. [1 ]
Ahamad, Mohd Sanusi S. [1 ]
Yahya, Ahmad Shukri [1 ]
Bashir, Mohammed J. K. [2 ]
Aziz, Hamidi Abdul [1 ,3 ]
机构
[1] Univ Sains Malaysia, Sch Civil Engn, Engn Campus, Nibong Tebal 14300, P Pinang, Malaysia
[2] Univ Tunku Abdul Rahman, FEGT, Kampar 31900, Perak, Malaysia
[3] Univ Sains Malaysia, Solid Waste Management Cluster, Sci & Engn Res Ctr, Engn Campus, Nibong Tebal 14300, Penang, Malaysia
关键词
MULTICRITERIA DECISION-ANALYSIS; GEOGRAPHIC INFORMATION-SYSTEMS; SITING MSW LANDFILLS; HIERARCHY PROCESS; AHP; SUITABILITY; COUNTRIES;
D O I
10.1088/1755-1315/37/1/012053
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:17
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