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Using Improved TOPSIS and Best Worst Method in prioritizing management scenarios for the watershed management in arid and semi-arid environments

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Abstract

Watershed as a complex and dynamic system is considered to be a functional unit for planning and management strategies. It is important to take all technical, social, economic, physical, ecological and administrative aspects in the process of watersheds planning and management into account. Deciding in the watershed management is quite intricate due to existence of diverse agents and indices there. Therefore, this study focused on the socioeconomic, ecological and physical impacts of management scenarios targeting on water and soil resources management issues in the Hable-Rud River Basin, Tehran Province, Iran. Also provide the best scenario for watershed management to achieve integrated management of resources in the catchment using Improved Technique for Order of Preference by Similarity to Ideal Solution (Improved TOPSIS) approach and Best Worst Method (BWM). The study area covers an area of 3269 Km2. In this study, according to managerial problems of the region, four management actions (rangeland exclusion, pitting, contour furrow and pile seeding) and 16 management scenarios were taken into consideration. Also, four standards of social (social acceptance), economic (benefit/cost), ecological (Weighted Average of Patch Size Index (WMPSI) and Weighted Land Cover Area Index (WLCAI)), and physical (runoff and soil erosion) indices are applied. Then, using the Best Worst Method, the weight of each index is met. Following the formation of decision matrix with 16 options (management scenarios) and 6 criteria (evaluation index), the Improved TOPSIS method was used to prioritize management scenarios. The research results showed that the social acceptance index (0.304) has the highest weight and the WLCAI index (0.072) has the lowest weight. The results of the prioritization of the scenarios using the weights estimated by the BWM method showed that the scenario 13 (rangeland exclusion, pitting and pile seeding) and scenario 5 (pile seeding) and scenario 16 (rangeland exclusion, pitting, contour furrow and pile seeding) perform best, respectively. In this research, a novel and logical approach of multi-criteria decision-making processes, i.e., Improved TOPSIS and Best Worst Method, was adopted to prioritize management scenarios for planning and watershed management. Given the results, the Improved TOPSIS method can be used as a suitable technique in prioritizing management scenarios, especially when the decision maker faces contradictory or even conflicting objectives and cannot decide on the best alternative(s).

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Authors and Affiliations

  1. Department of Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

    Ehsan Alvandi

  2. Department of Environmental Sciences and Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft, Iran

    Mojtaba Soleimani-Sardo

  3. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Sarita Gajbhiye Meshram

  4. Department of Watershed Management Sciences and Engineering, Faculty of Natural and Environmental Sciences, University of Kashan, Kashan, Iran

    Behnam Farid Giglou

  5. Department of Range and Watershed Management, Faculty of Water and Soil, University of Zabol, Zabol, Iran

    Mohammad Reza Dahmardeh Ghaleno

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  1. Ehsan Alvandi
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  2. Mojtaba Soleimani-Sardo
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  5. Mohammad Reza Dahmardeh Ghaleno
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Correspondence to Sarita Gajbhiye Meshram.

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Alvandi, E., Soleimani-Sardo, M., Meshram, S.G. et al. Using Improved TOPSIS and Best Worst Method in prioritizing management scenarios for the watershed management in arid and semi-arid environments. Soft Comput 25, 11363–11375 (2021). https://doi.org/10.1007/s00500-021-05933-9

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