Application of SAW and TOPSIS in Prioritizing Watersheds

Meshram, Sarita Gajbhiye; Alvandi, Ehsan; Meshram, Chandrashekhar; Kahya, Ercan; Al-Quraishi, Ayad M. Fadhil

doi:10.1007/s11269-019-02470-x

Cited by 83 publications

(30 citation statements)

References 24 publications

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“…The simulation results and the previous sections for equal weight settings highlight the fact that the only difference between TOPSIS and modified TOPSIS is in how the attribute weight is incorporated during calculations. A closer inspection of expanded TOPSIS Equation (20) and expanded modified TOPSIS Equation (23) shows that the only difference between the two methods is that in TOPSIS, Wj 2 is used but in modified TOPSIS Wj is used while calculating the distances from the positive and the negative ideal solutions. Thus, further mathematical analysis under non-equal weight settings is required to establish the differences of these methods.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…With close to 1000 citations [21] Modified TOPSIS has been used for comparative studies in attribute weight estimations [22]. The study is also applied in resource management [23], software selection [24], environmental assessment [25], sustainability assessment [26], material selection [27], other method development [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

“…Both these methods use the same Euclidean distance measure except for when the attribute weight is to be incorporated with the solution. It is very challenging for the decision makers to choose between these two methods due to their extreme similarity between them in their mathematical structures and their applicability to solve the same kind of MADM problems such as water management application [23,32], airline assessment [33,34], supplier selection [35]. Thus, there is a need to evaluate and compare these two methods to justify their suitability and applications.…”

Section: Introductionmentioning

confidence: 99%

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TOPSIS and Modified TOPSIS: A Comparative Analysis

Chakraborty¹

2021

Preprint

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Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of suitability. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and its dominant variant the Modified TOPSIS methods are two very similar methods applicable to the same type of MADM problems. This study provides extensive simulation-based comparisons and mathematical analysis of these two popular methods in order to clarify the confusion regarding their selection for solving MADM problems.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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TOPSIS and Modified TOPSIS: A Comparative Analysis

Chakraborty¹

2021

Preprint

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“…In the present study, we tried to discuss most of the geomorphic aspect of Dhanari watershed. For future studies, the authors suggest following research work can be carried out complementary to the current investigation: (i) Land suitability modeling study (e.g., Danesh et al 2020); (ii) Prioritization of watersheds for conservation measures (e.g., Meshram et al 2020); (iii) Determination of flood risk (e.g., Şen and Kahya 2017) and (iv) Mapping of Groundwater Recharge Potential Zones (e.g., Ganapuram et al 2009;Achu et al 2020).…”

Section: Flood Vulnerabilitymentioning

confidence: 99%

Assessment of soil erosion, flood risk and groundwater potential of Dhanari watershed using remote sensing and geographic information system, district Uttarkashi, Uttarakhand, India

et al. 2021

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Quantitative morphometric analysis of Dhanari watershed has been done using remote sensing and Geographical Information System (GIS). The impact of climate, lithology, tectonics, structural antecedents, vegetation cover and land use on hydrological processes is assessed by quantifying geomorphic parameters. The Dhanari River (a tributary of the Bhagirathi River) and its tributaries Dhanpati Gad and Kali Gad forms Dhanari watershed covering 91.8 Km2 area. Several geomorphic aspects viz. linear, areal, relief were computed to comprehend potentials of soil erosion, groundwater, flood vulnerability and the geomorphic response of watershed. LISS-III image is used to generate the Land Use and Land Cover (LULC) map and assess the watershed dynamics. Values of computed hypsometric integral and morphometric parameters viz. drainage density ($$D_{{\text{d}}}$$ D d ), stream frequency ($$F_{{\text{s}}}$$ F s ), stream length ratio ($$L_{{{\text{ur}}}}$$ L ur ), bifurcation ratio ($$R_{{\text{b}}}$$ R b ), rho coefficient (ρ), drainage texture ($$D_{{\text{t}}}$$ D t ), circularity ratio ($$R_{{\text{c}}}$$ R c ), relief ratio ($$R_{{{\text{hl}}}}$$ R hl ), elongation ratio ($$R_{{\text{e}}}$$ R e ), form factor ($$F_{{\text{f}}}$$ F f ), basin shape ($$B_{{\text{s}}}$$ B s ), drainage intensity ($$D_{{\text{i}}}$$ D i ), compactness coefficient ($$C_{{\text{c}}}$$ C c ) and infiltration number ($$I_{{\text{f}}}$$ I f ) have shown a moderate and steady erosion rate, with low groundwater potential and low to moderate flood vulnerability in the watershed. Hypsometry presents a dependable geomorphic parameter to understand the erosion and geomorphic response of a watershed to hydrological processes. Hypsometric integral value (0.51) of Dhanari watershed suggests a mature topography with steady erosion in the watershed.

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“…In TOPSIS, the cosine method and normalized initial data matrix are used to identify the best and worst choices from a limited number of solutions, which are represented, respectively, by the best and worst vectors [30,31]. Then, calculation of the distance between each alternative and the best and the worst solutions is performed in order to identify the relative closeness of each alternative scheme to the optimal solution, which is used to determine the adequacy of the evaluation [32,33]. In recent years, to effectively solve multi-criteria decision analysis problems from different angles, there has been an increasing number of studies concerning the modified TOPSIS method.…”

Section: Introductionmentioning

confidence: 99%

Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method

Zhang

Chen

Guo

et al. 2021

Land

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Regional ecological security assessment is a significant methodology for environmental protection, land utilisation, and human development. This study aims to reveal the regional constraints of ecological resources to overcome the difficulties and complexities in quantification of current models used in land ecosystems. For this purpose, the technique for order preference by similarity to an ideal solution (TOPSIS) was linked to a grey relational analysis and integrated with a geographic information system. The obtained method was used to construct a land eco-security evaluation on a regional scale for application in a traditional mining city, Daye, in central China. Parameter analysis was introduced to the method to produce a more realistic spatial distribution of eco-security. Subsequently, based on the pressure–state–response framework, the eco-security index was calculated, and the carrying capacity of land resources and population for each sub-region were analysed. The results showed that: (i) very insecure and insecure classes comprised 5.65% and 18.2% of the total area, respectively, highlighting the vulnerable eco-environmental situation; (ii) moderate secure classes areas comprised a large amount of arable land, spanning an area of 494.5 km2; (iii) secure areas were distributed in the northwest, containing mostly water and wetland areas and accounting for 426.3 km2; and (iv) very secure areas were located on the southeastern region, involving traditional woodland with a better vegetation cover and an overall higher eco-environmental quality. In addition, for each sub-region, the extremely low and low ecological security areas were mainly arable and urban lands, which amounted to 305 and 190 km2, respectively. Under the current ecological constraints, sub-region 1 cannot continue supporting the population size in Daye City. The present results demonstrate the accuracy of our methodology, and our method may be used by local managers to make effective decisions for regional environment protection and sustainable use of land resources.

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Application of SAW and TOPSIS in Prioritizing Watersheds

Cited by 83 publications

References 24 publications

TOPSIS and Modified TOPSIS: A Comparative Analysis

TOPSIS and Modified TOPSIS: A Comparative Analysis

Assessment of soil erosion, flood risk and groundwater potential of Dhanari watershed using remote sensing and geographic information system, district Uttarkashi, Uttarakhand, India

Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method

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