Enhanced Spatial Model for Landfill Siting Analysis
Publication: Journal of Environmental Engineering
Volume 125, Issue 9
Abstract
A landfill siting analysis typically requires evaluating various rules, factors, constraints, and numerous spatial data. A modern geographical information system, although capable of rapidly processing a massive amount of spatial data, lacks the ability to locate an optimal site when compactness and other factors are simultaneously evaluated. A previously developed grid-based model could not be applied to resolve this inability for irregularly shaped spatial data. Therefore, an enhanced spatial siting model is proposed herein for general spatial data. A compactness index is applied to ensure the integrity of selected sites. Two case studies are presented to demonstrate the applicability of the proposed model. The proposed model and two models developed previously are compared in the first case study based on the single factor of land cost. A single factor model is perhaps quite unacceptable with respect to other factors. The second case study is thus presented to demonstrate the flexibility of the model for considering additional factors, land slope, and road network accessibility. Moreover, results obtained from various models and siting factors are compared and discussed.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Benabdallah, S., and Wright, J. R. (1992). “Multiple subregion allocation model.”J. Urban Plng. and Devel., ASCE, 118(1), 24–40.
2.
Berkelaar, M. R. C. M. (1997). LP _SOLVE. 〈Ftp://ftp.es.ele.tue.nl/pub/lp _solve〉.
3.
Cohon, J. L. (1978). Multiobjective programming and planning. Academic, New York.
4.
Diamond, J. T., and Wright, J. R. (1989). “Efficient land allocation.”J. Urban Plng. and Devel., ASCE, 115(2), 81–96.
5.
Gilbert, K. C., Holmes, D. D., and Rosenthal, R. E. (1985). “A multiobjective discrete optimization model for land allocation.” Mgmt. Sci., 31(12), 1509–1522.
6.
GRASS4.1 user's reference manual. (1993). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Ill.
7.
Kao, J. J., Chen, W. Y., and H. Y. Lin (1996). “Network expert geographic information system for landfill siting.”J. Comp. in Civ. Engrg., ASCE, 10(4), 307–317.
8.
Kao, J. J., and Lin, H. Y. (1996). “Multifactor spatial analysis for landfill siting.”J. Envir. Engrg., ASCE, 122(10), 902–908.
9.
Lin, S. J. (1985). The analysis of criteria of waste processing facilities and landfill siting. The Economics and Construction Committee of Taiwan provincial government, Taiwan (in Chinese).
10.
Lin, H. Y., and Kao, J. J. (1998). “A vector-based spatial model for landfill siting.” J. Haz. Mat., Amsterdam, 58, 3–14.
11.
Lindquist, R. C. (1991). “Illinois cleans up: Using GIS for landfill siting.” Geo. Info. Sys., Feb., 30–35.
12.
Michaels, M. (1988). “GIS expected to make landfill siting easier.” World Wastes, 32–36.
13.
Minor, S. D., and Jacobs, T. L. (1994). “Optimal land allocation for solid- and hazardous-waste landfill siting.”J. Envir. Engrg., ASCE, 120(5), 1095–1108.
14.
Using the CPLEX callable library. (1997). ILOG Inc., Incline Village, Nev.
15.
Wright, J., Revelle, C., and Cohon, J. (1983). “A multiobjective integer programming model for the land acquisition problem.” Regional Sci. and Urban Economics, 13, 31–53.
16.
Zeleny, M. (1982). Multiple criteria decision making. McGraw-Hill, New York.
Information & Authors
Information
Published In
History
Received: Nov 3, 1998
Published online: Sep 1, 1999
Published in print: Sep 1999
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.