IWRM Incorporating Water Use and Productivity Indicators of Economic Clusters Using a Hydro-Economic SDSS

Author:

Souza da Silva Gerald Norbert1,Alcoforado de Moraes Márcia M. G.2ORCID,Candido Laíse Alves3,de Amorim Filho Carlos Alberto G.4,Dias Nilena B. M.5,Pereira da Cunha Marcelo6,Florêncio Lourdinha3

Affiliation:

1. Civil Engineering Department, Federal University of Paraiba, João Pessoa 58033-455, Brazil

2. Economic-Integrated Management Research Group, Department of Economics, Federal University of Pernambuco, Recife 50740-600, Brazil

3. Civil Engineering Department, Federal University of Pernambuco, Recife 50740-530, Brazil

4. Department of Economics, Federal University of Pernambuco, Recife 50740-600, Brazil

5. Department of Energy, School of Mechanical Engineering, University of Campinas, São Paulo 13083-860, Brazil

6. Institute of Economics, University of Campinas, Campinas, São Paulo 13083-857, Brazil

Abstract

IWRM should include the integration of management instruments towards intersectoral efficient water allocation. A platform linking economywide and network-based models, available from a Spatial Decision Support System (SDSS), was used to analyze allocation decisions in 4-interlinked basins in Northeastern Brazil during a period of water scarcity. The SDSS can integrate water allocation issues considering hydrologic and socioeconomic aspects. In this study, we applied a normalized concentration index and exploratory spatial data analysis to socioeconomic data to identify job hotspots in economic sectors. Hydro-economic indicators were determined and used as economic weights of those hotspots and individual users for water allocation. This innovative method of allocation simulates the use of economic instruments. Removing the weights, the use of non-economic instruments is also simulated. The economic allocation transfers water from agriculture and industry to the services sector compared to the non-economic. This is justified given the low indicators of the main sectors of agriculture and industry in the region: sugarcane cultivation and the sugar–alcohol industry. Moreover, regional transfer results show that without using economic criteria and maintaining the current distribution network, there is a transfer of water stored in drier to humid regions. These results can support the decision-making process by defining effective management instruments.

Funder

ANA/CAPES

CT-HIDRO/CNPq

Publisher

MDPI AG

Subject

Earth-Surface Processes,Waste Management and Disposal,Water Science and Technology,Oceanography

Reference33 articles.

1. World Bank (2016). High and Dry: Climate Change, Water, and the Economy, The World Bank.

2. Allan, T. (2003). IWRM/IWRAM: A New Sanctioned Discourse? Occasional Paper 50, School of Oriental and African Studies/King’s College.

3. Integrated Water Resources Optimization Models: An Assessment of a Multidisciplinary Tool for Sustainable Water Resources Management Strategies;Mayer;Geogr Compass,2009

4. Hydro-Economic Models: Concepts, Design, Applications, and Future Prospects;Harou;J. Hydrol.,2009

5. Review of Decision Support Systems and Allocation Models for Integrated Water Resources Management Focusing on Joint Water Quantity-Quality;Candido;J. Water Resour. Plan. Manag.,2022

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