A comparative analysis of three multi-criteria decision-making methods for land suitability assessment

Rashidi, Farahnaz; Sharifian, Shadi

doi:10.1007/s10661-022-10259-6

Cited by 9 publications

(2 citation statements)

References 37 publications

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“…On the other hand, experts have applied the techniques to decision-making for many years to determine surface water potential zones by weighting thematic layers [26]. Since last few years, by employing MCDM, to monitor water quality, it initiates to produce better results on account of its reduction in the subjectivity in criteria selection and vast application fields [27,28,29]. Another important technique in MCDM, addressed as "The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)".…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Das

2023

Integrated Water Resources Management for Quality Enhancement

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Surface water is necessary for the sustainable expansion of society, economy, and agriculture in and around Baitarani Basin, Odisha. 22 significant surface water regulating variables were collected from 13 locations during the 5-year (2018-2023) monsoon period and were, developed by combining entropy-based water quality index (EWQI) data and TOPSIS analysis was carried out to determine surface water prospect zones. The selected catchments and its spatial maps were designated and the anticipated surface water zone model's results were divided into four groups: excellent (15.38%), good (38.46%), medium (15.3%) and poor (30.77%). However, TOPSIS, a multi-objective judgement tool, was used to rank the sites based on their relative emissions of harmful pollutants. Findings suggest that St-8 obtained the highest performance score and was recognized, as perhaps, the most polluted location in comparison to other remaining sites. Urbanization, irrigation, landfills, and e-waste are the primary agents for water quality deterioration. Chemical indices such as SAR, RSC, MH, KI, PS, PI, CR, CAI-1, and CAI-2, were evaluated and the results demonstrated that the river is good for irrigation. USSL diagrams categorized the water samples as C1-S1 and C2-S1, respectively, which promotes irrigation suitability. From the Piper and Durov diagram plots, two different types of water were identified as Na+-Cl- and Ca (HCO3)2. On the other hand, Gibb’s plot implies that most samples fall under the evaporation-precipitation dominance.

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Section: Introductionmentioning

confidence: 99%

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Das

2023

Integrated Water Resources Management for Quality Enhancement

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“…Thus, this approach eliminates human bias and is highly objective when determining weights. Multi-Criteria Decision-Making (MCDM) methods can provide precise values with minimal effort in the creation of the WQI [7]. Complex Proportional Assessment (COPRAS) is one of the most popular MCDM approach that discusses the direct and proportional dependence on the significance and utility of the available options in the presence of criteria that are in conflict with one another [8].…”

Section: Introductionmentioning

confidence: 99%

Abundance, Characterization, Understanding Water Quality Degradation and Strategies for Pollutant Reduction in Mahanadi River Basin, Odisha

Das

2023

Advances in Transdisciplinary Engineering

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The open dumpsite is frequently chosen as the trash disposal option in most emerging economies, yet it poses serious environmental risks. Mahanadi River Basin (MRB) is one of Odisha’s most heavily populated by agriculture and drinking, particularly for human consumption and farming. It faces severe surface water quality and quantity constraints. Water assessment indices such as Criteria Importance through Inter-criteria Correlation (CRITIC) and MCDM techniques like Complex Proportional Assessment (COPRAS) have been employed in the evaluation of water quality for human use, using integrated techniques. The study focuses on 20 water quality parameters taken from 19 stations over a period of 2021–2023 and compared them with the World Health Organizations (WHO). To investigate the spatial distribution maps of all approaches, the geo-spatial tools (IDW method) were considered. Coliform and TKN concentration mostly responsible for the high index scores in all locations. From the findings of CWQI, it has been determined that higher water quality is found to be 84.21% and a value of 15.79% belonging to poor/extremely poor category. MCDMs like COPRAS has been utilized for ranking evaluation, which shows that the highest rating provided for each period, that would cite the sampling location with the highest pollution. For instance, S-9 was found to as most polluted site because of elevated degree of certain parameters containing SO42-, SAR, EC, Cl-, TKN, TDS, TH and TC. Based on the results, it is evident that deterioration in water quality is mostly correlated with population growth, urbanization, industry, agricultural output, and the growth of ecotourism and hospitality in high areas close to the source areas. This study’s uniqueness showed how to use water quality index methods to gauge or comprehend the quality of river water, and it seemed to hold promise for the future of water quality management.

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Delineation of Surface Water Potential Zones and Identification of Sites in Mahanadi River Basin, Odisha, India, Using GIS

Das

2024

Lecture Notes in Civil Engineering

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A comparative analysis of three multi-criteria decision-making methods for land suitability assessment

Cited by 9 publications

References 37 publications

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Anthropogenic Effects on Surface Water Quality Assessment in Baitarani River Basin, Odisha Using GIS and MCDM Techniques

Abundance, Characterization, Understanding Water Quality Degradation and Strategies for Pollutant Reduction in Mahanadi River Basin, Odisha

Delineation of Surface Water Potential Zones and Identification of Sites in Mahanadi River Basin, Odisha, India, Using GIS

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