PubMed Health⌕ Search

PubMed · 16114635

GIS supported solid waste management in coastal areas.

Abstract

Planning of solid waste management (SWM) facilities in terrestrial as well as coastal areas addresses several situations, and requires considering numerous factors. This leads to large amounts of data and information that must be organized and analyzed. However, in many SWM systems, all of the relevant information cannot be managed properly due to insufficiencies in methods/tools and/or resources. To assist the solid waste decision making process, GIS-based decision support systems can be applied to deal with the multi-attribute and spatial nature of SWM systems. In this study, the application potential of GIS based decision support systems to functional elements of the SWM system are reviewed first. Then particular emphasis is given to landfill site selection. In this context, landfill siting process and key siting criteria were developed to incorporate the environmental, socio-political, engineering, and economic factors for an appropriate solution. To aid decision makers to determine landfill area requirements, an area estimation model, containing population projection and waste quantity forecasting modules, was developed in Visual Basic. Following the development of a graphical user interface, suitable areas for proposed landfill were determined in an IDRISI environment.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H Sarptas, N Alpaslan, D Dolgen. 2005. GIS supported solid waste management in coastal areas.. https://pubmed.ncbi.nlm.nih.gov/16114635/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Decision analysis.

Explore the source record for details and available documents.

Decision Support Techniques↗

Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS.

The paper describes a model, which estimates the risk levels of individual crude oil tankers. The intended use of the model, which is ready for trial implementation at The Norwegian Coastal Administrations new Vardø VTS (Vessel Traffic Service) centre, is to facilitate the comparison of ships and to support a risk based decision on which ships to focus attention on. For a VTS operator, tasked with monitoring hundreds of ships, this is a valuable decision support tool. The model answers the question, "Which ships are likely to produce an oil spill accident, and how much is it likely to spill?".

Decision Support Techniques↗