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

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 Northe...

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Bibliographic Details
Published in:Hydrology 2023-03, Vol.10 (3), p.72
Main Authors: Souza da Silva, Gerald Norbert, Alcoforado de Moraes, Márcia M. G., Candido, Laíse Alves, de Amorim Filho, Carlos Alberto G., Dias, Nilena B. M., Pereira da Cunha, Marcelo, Florêncio, Lourdinha
Format: Article
Language:English
Subjects:
Agriculture
Alcohols
Analysis
Area planning & development
Basins
Current distribution
Data analysis
Decision analysis
Decision making
Decision support systems
Drought
Economic analysis
Economic indicators
Economic models
Economic sectors
Economics
Efficiency
Geospatial data
Hot spots
hotspot analysis
hydro-economic allocation
hydro-economic indicators
Hydrology
Indicators
Instruments
integrated economic modeling
IWRM
Management
Political power
Productivity
Rain
Regional development
Regions
Saccharides
Social factors
Socioeconomic aspects
Socioeconomic factors
Socioeconomics
Spatial analysis
Spatial data
spatial decision support system
Sugarcane
Water
Water allocation
Water scarcity
Water use
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Summary: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.
ISSN:2306-5338
2306-5338
DOI:10.3390/hydrology10030072