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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2023 Volume 15, Issue 5, Pages 1395–1410 (Mi crm1124)

MODELS OF ECONOMIC AND SOCIAL SYSTEMS

Water consumption control model for regions with low water availability

M. A. Reshitko, A. B. Usov, G. A. Ougolnitsky

Southern Federal University, 105/42 B. Sadovaya st., Rostov-on-Don, Russia, 344002

Abstract: This paper considers the problem of water consumption in the regions of Russia with low water availability. We provide a review of the existing methods to control quality and quantity of water resources at different scales — from households to worldwide. The paper itself considers regions with low “water availability” parameter which is amount of water per person per year. Special attention is paid to the regions, where this parameter is low because of natural features of the region, not because of high population. In such regions many resources are spend on water processing infrastructure to store water and transport water from other regions. In such regions the main water consumers are industry and agriculture.
We propose dynamic two-level hierarchical model which matches water consumption of a region with its gross regional product. On the top level there is a regional administration (supervisor) and on the lower level there are region enterprises (agents). The supervisor sets fees for water consumption. We study the model with Pontryagin’s maximum principle and provide agents’s optimal control in analytical form. For the supervisor’s control we provide numerical algorithm. The model has six free coefficients, which can be chosen so the model represents a particular region. We use data from Russia Federal State Statistics Service for identification process of a model. For numerical analysis we use trust region reflective algorithms. We provide calculations for a few regions with low water availability. It is shown that it is possible to reduce water consumption of a region more than by 20% while gross regional product drop is less than 10%.

Keywords: optimal control, simulation modeling, water resource allocation

UDC: 519.8

Received: 27.02.2023
Accepted: 03.05.2023

DOI: 10.20537/2076-7633-2023-15-5-1395-1410



© Steklov Math. Inst. of RAS, 2024