About the project
Project Manager
Kanatuly Adilet
PhD
Scopus Author ID: 57297585400
Researcher ID: ABR-6937-2022
ORCID: 0000-0002-7353-9125
Project Manager
The relevance of the project is determined by the need to improve the efficiency of water resources management under climate change and increasing anthropogenic pressure. The Yesil River basin is one of the socially and economically significant water management basins in the Republic of Kazakhstan, providing water supply for the population, agricultural production, industry, and ecosystems. In recent decades, the basin has experienced increased hydrological variability, disruption of seasonal flow patterns, and a rise in the frequency of floods and droughts, significantly increasing the risks of water shortages and economic losses.
Existing water management systems largely rely on stationary hydrological assumptions and do not fully account for current climate trends or the combined effects of water management infrastructure. Under non-stationary climatic conditions, this reduces the effectiveness of water balance management and limits the ability to forecast extreme hydrological events and make well-grounded management decisions.
In this context, the development of a scientifically based adaptive water resources management system for the Yesil River basin, using hydrological modeling, climate analysis, and geographic information systems (GIS), is highly relevant. The project aims to create applied tools for forecasting the hydrological regime, assessing climate risks, and optimizing the operation of water management infrastructure, which will enhance the reliability of water supply and reduce damage from floods and droughts.
The practical and socio-economic significance of the project lies in the potential use of its results by governmental authorities, water management organizations, and the agricultural sector to improve water security, strengthen the resilience of agricultural production, and preserve aquatic ecosystems. The implementation of the project aligns with the priorities of the state scientific and technological policy of the Republic of Kazakhstan, addresses climate adaptation goals, and has potential for scaling and commercialization of the developed solutions.
Relevance
The aim of the project is to develop scientifically grounded recommendations and an adaptive water resources management system for the Yesil River basin, which will enable effective regulation of river flow under changing climate and anthropogenic impacts, minimize the risks of floods and droughts, and ensure sustainable water use.
Purpose
The project aims to develop an integrated water resources management system using hydrological modeling and Geographic Information Systems (GIS) to analyze and forecast water flows and climate changes. The system will enable automation of data collection and analysis, ensure high accuracy of forecasts, and enhance the resilience of water management, agriculture, and ecosystems to climate-related risks.
At least two articles are planned to be published in journals ranked in the top three quartiles of Web of Science or with a CiteScore ≥ 50 in Scopus, and patent applications will be submitted both in Kazakhstan and abroad. Documentation for implementing the system across various economic sectors, including governmental authorities, scientific institutions, and water management enterprises, will be prepared. The project results will be disseminated among the scientific community and end-users. Commercialization through software and service development is also envisaged.
Implementation of the project will improve the efficiency of water resources management, increase the resilience of agricultural production and ecosystems, and strengthen Kazakhstan’s scientific and technical potential as well as its international competitiveness.
Expected and achieved results
The project aims to develop an integrated water resources management system using hydrological modeling and Geographic Information Systems (GIS) to analyze and forecast water flows and climate changes. The system will enable automation of data collection and analysis, ensure high accuracy of forecasts, and enhance the resilience of water management, agriculture, and ecosystems to climate-related risks.
At least two articles are planned to be published in journals ranked in the top three quartiles of Web of Science or with a CiteScore ≥ 50 in Scopus, and patent applications will be submitted both in Kazakhstan and abroad. Documentation for implementing the system across various economic sectors, including governmental authorities, scientific institutions, and water management enterprises, will be prepared. The project results will be disseminated among the scientific community and end-users. Commercialization through software and service development is also envisaged.
Implementation of the project will improve the efficiency of water resources management, increase the resilience of agricultural production and ecosystems, and strengthen Kazakhstan’s scientific and technical potential as well as its international competitiveness.
Information for potential users
Potential users of the project results include governmental authorities responsible for water resources management, water management and hydraulic engineering organizations, as well as scientific and design institutions of the Republic of Kazakhstan. First and foremost, the project outcomes may be utilized by the Committee for Water Resources, basin inspectorates, regional akimats, organizations operating reservoirs and hydraulic structures, and enterprises engaged in water supply and wastewater management.
The developed adaptive water resources management system for the Yesil River basin will enable potential users to forecast the hydrological regime, assess flood and drought risks, and make scientifically substantiated management decisions regarding flow regulation and the operation of water management infrastructure under changing climate conditions. The use of hydrological modeling and geographic information systems (GIS) will ensure enhanced visualization, operational efficiency, and improved analytical accuracy, which is particularly important for planning water management measures and responding to extreme hydrological events.
The project results are also intended for application in the agricultural sector to support planning of irrigation water supply, increase the resilience of agricultural production, and reduce losses associated with climate-related risks. Scientific organizations and higher education institutions will be able to use the developed models, databases, and methodological materials in research activities and educational processes.
Implementation of the developed software solutions and recommendations is possible both at the regional level (the Yesil River basin) and through subsequent adaptation and scaling to other water management basins across Kazakhstan. The project has strong potential for practical implementation and commercialization in the form of software products, information and analytical services, and consulting solutions in the field of water resources management.
Scientific adviser
Kozykeeva Aliya
doctor of technical science, professor
Scopus Author ID: 57221234696
Researcher ID: ABC-4631-2020
ORCID: 0000-0003-0581-0881