A combined GIS-MCDA approach to prioritize stream water quality interventions, based on the contamination risk and intervention complexity

Fernandes, António Carlos Pinheiro; Terêncio, Daniela Patrícia Salgado; Pacheco, Fernando António Leal; Fernandes, Luís Filipe Sanches

doi:10.1016/j.scitotenv.2021.149322

Cited by 12 publications

(4 citation statements)

References 156 publications

(188 reference statements)

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“…The problem of understanding how multiple matrices (or levels) influence a certain activity has been analyzed in several studies using multi-criteria decision analysis (MCDA) techniques [22]. MCDA techniques are also used to evaluate spatially distributed data [23] and, especially in studies with a strong spatial component, in combination with GIS systems [24][25][26]. These approaches focus on a particular type of MCDA technique, the analytic hierarchy process (AHP) in a GIS environment.…”

Section: Introductionmentioning

confidence: 99%

Application of a Quality-Specific Environmental Risk Index for the Location of Hives in Areas with Different Pollution Impacts

et al. 2023

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Honeybees and hive products have long been recognized as excellent bio-indicators, as they provide valuable information on the state of the environments concerned. As yet, however, no tool is capable of contextually assessing the level of pollution of different environmental matrices in order to create maps of areas in which to place hives. In this paper, a possible method of creating a regional map to support the implementation of targeted monitoring plans on beekeeping is described. We obtained and identified related-activity pressure factors, which were subsequently combined by means of a multi-criteria approach through the analytic hierarchy process method (AHP). The different levels used were drawn up by first attributing qualitative values; these were converted into quantitative values through scoring elaborations and pair comparisons and then elaborated and standardized by means of different techniques in order to create an index with a spatial distribution of five risk classes throughout the region. To verify the correct execution of the procedure, a consistency ratio method was implemented on this index and validated the reliability of the application as the main source of information for sampling activities on beekeeping products. Creation of the specific environmental risk index enabled us to construct a map displaying the areas of greatest impact on beekeeping activities and a representation of the cumulative effects generated by the different pollutants in the air, water, soil and subsoil compartments. This index may, therefore, constitute an essential tool to support beekeepers in choosing sites for their apiaries.

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Section: Introductionmentioning

confidence: 99%

Application of a Quality-Specific Environmental Risk Index for the Location of Hives in Areas with Different Pollution Impacts

et al. 2023

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“…This approach allows different basins to be assess and prioritize based on multiple factors that are relevant to improve water quality, including point and diffuse pressures and landscape metrics. By applying this methodology, they can rank the basins that should be targeted for interventions to improve water quality and mitigate the risk of contamination (Fernandes et al, 2021). Likewise, the engagement of partners, even in the development of a sediment model, can be very important for decision-making, as those involved can have more transparency and understanding of the processes, thus generating more confidence in the results (Cho et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Web-GIS for decision making to achieve water quality standards of water bodies through collaborative watershed modeling

Acosta,

Kishi,

Souza

et al. 2023

RBRH

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Ensuring compliance with the minimum Water Quality Standards stipulated by law demands the implementation of strategic measures within the watershed. Water pollution modeling serves as a tool to guide the formulations of effective pollution control strategies. However, the inherent complexity of calibration, spatial-temporal variability, and uncertainty, in addition to effective communication of technical information to decision makers, makes it challenging to prioritize actions, implement them, and allocate resources efficiently. This paper presents the implementation of a Web-GIS for decision making support which combines collaborative hydrological and hydrodynamic modeling results with an interactive visualization of the Paranapanema river basin in the South of Brazil. The Web-GIS aimed to overcome the difficulty of presenting scientific results to decision-makers, gathering and harmonizing diverse datasets. Combining information from the watershed, the pollutant loads estimations for three substances (phosphorus, nitrogen, and BOD), the resulting concentrations in rivers and reservoirs, as well as the results for different future scenarios into a unified platform. It is expected that decision-making regarding water bodies framework will be facilitated by identifying the primary sources and pathways of pollution, prioritizing basins with the highest load production, an determining realistic possibilities of load reduction through effective measures.

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“…Ullah and Zhang [51] employed it in conjunction with GIS in the hazard zoning of the Panjkora River basin, Pakistan (2020). Fernandes et al [52] used it in Portugal to support decision makers in water quality prioritization (2021). Kourgialas and Karatzas [53] used MCDA and artificial neural network techniques in flood hazard assessment in a GIS environment in Greece (2017).…”

Section: Introductionmentioning

confidence: 99%

Flood Susceptibility in the Lower Course of the Coyuca River, Mexico: A Multi-Criteria Decision Analysis Model

et al. 2022

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Flooding due to climate change is recurrent and has intensified in the lower course of the Coyuca River. This paper implements a multivariate analysis, including conditioning and triggering factors to develop flood susceptibility mapping in an information-deprived region to help prevent/mitigate flooding. Flood-susceptible areas were identified using the multi-criteria decision analysis (MCDA) methodology, specifically, with the hierarchy analysis process (AHP). Four conditioning and one triggering influence factors were analyzed. The influence weights of each variable were determined using Saaty’s methodology (AHP). Thematic maps for each variable were created and multiplied by their influence value using the raster calculator and added to their variable group to obtain the flood susceptibility map. The findings showed that the susceptibility to flooding was very high in 41.82%, high in 35.95%, medium in 21.25% and low in 0.98% of the study areas. It was revealed that 44.44% of the localities occupy areas of very high susceptibility to flooding. Susceptibility increases in the localities closest to the river.

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A combined GIS-MCDA approach to prioritize stream water quality interventions, based on the contamination risk and intervention complexity

Cited by 12 publications

References 156 publications

Application of a Quality-Specific Environmental Risk Index for the Location of Hives in Areas with Different Pollution Impacts

Application of a Quality-Specific Environmental Risk Index for the Location of Hives in Areas with Different Pollution Impacts

A Web-GIS for decision making to achieve water quality standards of water bodies through collaborative watershed modeling

Flood Susceptibility in the Lower Course of the Coyuca River, Mexico: A Multi-Criteria Decision Analysis Model

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