An approach for water allocation with a couple surface and groundwater model

Abstract

The integrative analysis considering the spatial and temporal representation of the hydrological and hydrogeological process is a challenge for the water resources management process and the water allocation policy. The join of distributed hydrological, hydrogeological and optimization models is an alternative to achieve the effective water integrated management. We present a framework for the conjunctive use of the RUBEM, MODFLOW and an extended version of PYWR models that return monthly results of the surface-groundwater processes and the optimization of the runoff. An irrigation node was created with maximum flow restriction to save storage in the basin. The framework was applied in a basin of Sao Paulo state, that suffers with water scarcity, showing good adherence with the water balance patterns and the differences in demand attendance when irrigation nodes are active.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico [Grant number 169363/2017-1].

Notes on contributors

Lina Maria Osorio Olivos

Lina Maria Osorio Olivos, M.sc in sciences by Universidade de São Paulo. Department and Rank: PhD student Department of Hydraulic and Sanitary Engineering, Escola Politécnica, Universidade de São Paulo. Areas of Interest: Hydrology, basin management, modelling. Contributions to the paper: Data collection, model simulation and calibration, analysis of the results, paper writing.

Arisvaldo Vieira Méllo Junior

Arisvaldo Vieira Méllo Jr., PhD in science by Universidade de São Paulo. Associate Professor, Department of Hydraulic and Sanitary Engineering, Escola Politécnica, Universidade de São Paulo. Areas of Interest: Hydrology, soil, basin management, water allocation. Contributions to the paper: Conceptualization, analysis of the results, paper review.

Gabriel Anísio dos Santos Soraes

Gabriel Anísio dos Santos Soares, Computer Engineering. Researcher at LABSID, Department of Hydraulic and Sanitary Engineering, Escola Politécnica, Universidade de São Paulo. Areas of Interest: Hydrology, Machine Learning, SSD. Contributions to the paper: Code implementation, analysis of the results, paper review.