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Decision support systems for environmental management: a case study on wastewater from agriculture

Journal of environmental management, 2014

Decision Support Systems for environmental management: A case study on wastewater from agriculture

Dealing with spatial decision problems means combining and transforming geographical data (input) into a resultant decision (output), interfacing a Geographical Information System (GIS) with Multi-Criteria Decision Analysis (MCDA) methods. The conventional MCDA approach assumes the spatial ho-mogeneity of alternatives within the case study area, although it is often unrealistic. On the other side, GIS provides excellent data acquisition, storage, manipulation and analysis capabilities, but in the case of a value structure analysis this capability is lower. For these reasons, several studies in the last twenty years have given attention to MCDA-GIS integration and to the development of Spatial Decision Support Systems (SDSS). Hitherto, most of these applications are based only on a formal integration between the two approaches. In this paper, we propose a complete MCDA-GIS integration with a plurality of MCDA methodologies, grouped in a suite. More precisely, we considered an open-source GIS (GRASS GIS 6.4) and a modular package including five MCDA modules based on five different methodologies. The methods included are: ELECTRE I, Fuzzy set, REGIME analysis, Analytic Hierarchy Process and Dominance-based Rough Set Approach. Thanks to the modular nature of the package, it is possible to add new methods without modifying the existing structure. To present the suite, we applied each module to the same case study, making comparisons. The strong points of the MCDA-GIS integration we developed are its open-source setting and the user friendly interface, both thanks to GRASS GIS, and the use of raster data. Moreover, our suite is a genuine case of perfect integration, where the spatial nature of criteria is always present.

About Multi-Criteria Decision Support System DecernsMCDA

The computer system DecernsMCDA for Multi-Criteria Decision Analysis, including MCDA method implemented (MAVT, AHP, TOPSIS, PROMETHEE, MAUT, ProMAA, FMAA (Fuzzy-MAA), F-MAVT (Fuzzy-MAVT), FlowSort) and corresponding tools for sensitivity analysis and uncertainty treatment, are described in detail. deesoft.ru/lang/en; DecernsMCDA; User Guide

MULTICRITERIA DECISION AIDED SYSTEM FOR RANKING INDUSTRIAL ZONES (RPRO4SIGZI

Integration of Geographic Information Systems (GIS) and multi-criteria decision analysis (MCDA) is a privileged and indispensable way to evolve GIS into real decision support systems. RPRO4SIGZI, the system proposed in this paper allows, from a detailed study of geographical, environmental and socioeconomic criteria to cooperate GIS and multi-criteria decision analysis method for spatial choosing of the right site for installing industrial projects. The result obtained by RPRO (Ranking PROMETHEE) for ranking industrial zones in western Algeria is refined by a viewing SIGZI (Geographic Information System for Industrial Zones). The RPRO unit rank industrial zones using the outranking PROMETHEE II method issue from European school and SIGZI module to the visualization of these zones on the map. RPRO4SIGZI system was designed for the evaluation of a new methodology of multi-criteria analysis guided by data mining. The objective is to show how data mining is used to model the preferences of the decision maker tainted with subjectivity and hesitance to generate suitable performance tables. Only RPRO4SIGZI system is presented in this paper.

GIS‐based multicriteria decision analysis: a survey of the literature

International Journal of Geographical Information …, 2006

The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so. This paper surveys the GISbased multicriteria decision analysis (GIS-MCDA) approaches using a literature review and classification of articles from 1990 to 2004. An electronic search indicated that over 300 articles appeared in refereed journals. The paper provides taxonomy of those articles and identifies trends and developments in GIS-MCDA.

DESYRE: Decision Support System for the Rehabilitation of Contaminated Megasites

Integrated Environmental Assessment and Management, 2007

The rehabilitation of contaminated sites is a complex process encompassing technological, environmental, socio-economic aspects. These aspects show close spatial and temporal inter-relations. Moreover, mega-sites (hundreds of hectares wide) require properly designed Decision Support Systems (DSS). In this work, a DEcision Support sYstem for the REqualification of contaminated sites (DESYRE) is proposed for the identification of the most effective rehabilitation interventions. The DSS is based on a Geographic Information System (GIS) framework and integrates environmental and technological databases, risk assessment models, and multi criteria procedures. It is composed of five modules: (1) characterisation, (2) risk, (3) socio-economical and (4) technological analysis, and (5) decision. The characterisation module provides all the available information on the site (e.g. chemical and hydrogeological data). It can be explored by means of GIS tools and its database is available as input to statistical and geo-statistical software, as well as to hydrogeological and contaminant fate and transport models. Moreover, it provides the definition of efficient sampling strategies, definition of contaminant distribution, prediction of transport processes and input parameters for the risk assessment module. The risk assessment module includes exposure and risk assessment models and provides outputs such as risk maps. The socio-economical assessment module addresses socio-economical constraints and benefits. The technological assessment module allows feasibility, advantages, limits and costs of different techniques to be assessed. Information from the three assessment modules, mainly in the form of indicators, are integrated in the final decisional module by means of the multi-criteria analysis (MCDA), which can play a key-role to simplify effectively this process. In the proposed DESYRE framework, the MCDA tools appear twice. When a pool of suitable technologies is to be defined, a MCDA module assigns a score to each technologies on the basis of key-criteria. In a second level, each remediation scenario proposed by the Expert is evaluated by the Decision Makers in a Group Decision Making context. The project is in progress: framework and methodology aspects were already defined, and a preliminary application was undertaken for the megasite, industrial district of Porto Marghera (ca. 3,000 ha), located on the border of the Venice lagoon. The selection of the specific MCDA options is under way.

IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

International Journal of Information Technology & Decision Making, 2011

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS-MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS-MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, analytic hierarchy process, and ordered weighted average for decision analysis; ranking, rating, and pairwise comparison for weighting and linear scale transformation for standardization can be applied by using this tool. The maximum score and score range procedures can be used for linear scale transformation. In this article also an application of the GIS-MCDA to determine the flood vulnerability of the South Marmara Basin in Turkey is examined. To check the validity and reliability of the results, the flood vulnerability layer is compared with flood-affected areas.

GIS-BASED SEARCH THEORY APPLICATION FOR SEARCH AND RESCUE PLANNING

2007

iii I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last name: Emrah, Söylemez Signature: iv ABSTRACT GIS-BASED SEARCH THEORY APPLICATION FOR SEARCH AND RESCUE PLANNING SÖYLEMEZ, Emrah

Multicriteria Decision Analysis in Group Decision Processes

Advances in Group Decision and Negotiation, 2010

Important decisions are often taken by groups of decision makers who need to make choices among several alternatives, based on an appraisal of how the alternatives are likely to perform with regard to multiple objectives. Such decision processes can be supported by the methods of multi-criteria decision analysis (MCDA) which help generate decision recommendations and offer process benefits in terms of enhanced decision quality, improved communication, and enhanced commitment to decision implementation. In this Chapter, we outline widely used MCDA methods and consider their uses in group decision making. We also review selected case studies and offer guidelines for the design of MCDA-assisted group decision processes. We conclude with thoughts on promising application domains and future research topics.

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