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Development of a Prototype of an Expert System for Decision Making Support in Optimizing Measures Aimed to Protect Water Objects from Diffuse Pollution: Case Study of the Volga Basin

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Abstract

A prototype of an expert system for decision-making support in optimizing measures aimed to protect pilot water objects from diffuse pollution in the Volga basin was developed based on special expedition studies carried out in 2018–2019, generalized results of earlier long-term studies, improved methodological approaches, and specially developed GIS. The prototype consists of fine interrelated blocks, which can be used to evaluate the anthropogenic load from different types of pollution sources (point and diffuse) and the parameters that characterize this pollution, and describe the methods and results of diffuse runoff calculation as well as possible water protection measures, and their efficiency. The prototype of the expert system allows the users (decision makers) to evaluate the extent of diffuse pollution and to choose the priority measures to reduce its effect on pilot water objects.

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REFERENCES

  1. Temporal Procedure for Determining Prevented Ecological Damage (approved by Goskomekologiya RF, March 9, 1999 [Electronic Resource]. http://www.consultant.ru/cons/cgi/online.cgi?req= doc&base=EXP&n=278825#02615874783966772

  2. Gordin, I.V. and Kirpichnikova, N.V., Comparative assessment of the environmental hazard of surface runoff from industrial sites and urban territories, Prom. Energ., 1993, no. 1, pp. 32–37.

  3. Jackson, P., Vvedenie v ekspertnye sistemy (Introduction to Expert Systems), Moscow: Vil’yams, 2001.

  4. Kirpichnikova, N.V., Studying uncontrolled pollution sources for water objects: case study of the Ivankovo Reservoir, Extended Abstract of Cand. Sci. (Techn.) Dissertation, Moscow: Water Problems Institute, Russian Academy of Sciences, 1992.

  5. Kirpichnikova, N.V., Uncontrolled pollution sources, in Ivan’kovskoe vodokhranilishche. Sovremennoe sostoyanie i problemy okhrany (The Ivankovo Reservoir. Current State and Protection Problems), Moscow: Nauka, 2000, pp. 36–62.

  6. Kravchenko, T.K., Expert system for decision making support, Otkryt. Obraz., 2010, no. 6, pp. 147–156.

  7. Rekomendatsii po raschetu sistem sbora, otvedeniya i ochistki poverkhnostnogo stoka s selitebnykh territorii, ploshchadok predpriyatii i opredeleniyu uslovii vypuska ego v vodnye ob’’ekty (Recommendations for calculation of systems for collection, disposal, and treatment of surface runoff from residential territories and industrial sites and determining the conditions for its discharge into water objects), Moscow: NII VODGEO, 2014.

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Funding

This study was carried out under Governmental Order to Water Problems Institute, Russian Academy of Sciences (subject no. 0126-2019-0038, state registration no. АААА-А18-118061800142-8).

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Correspondence to M. A. Kozlova.

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Translated by G. Krichevets

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Kozlova, M.A., Kirpichnikova, N.V., Faschevskaya, T.B. et al. Development of a Prototype of an Expert System for Decision Making Support in Optimizing Measures Aimed to Protect Water Objects from Diffuse Pollution: Case Study of the Volga Basin. Water Resour 47, 731–743 (2020). https://doi.org/10.1134/S0097807820050115

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  • DOI: https://doi.org/10.1134/S0097807820050115

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