AP23490925 Project Leader: Tussupova K.M.

AP23490925 Reaching the Kazakhstan SDGs on safe access to water, sanitation and wastewater systems using AI and machine learning

Project implementation period: 2024 - 2026

Project Leader: Tussupova K.M.

Aim - to develop an integral decision support system tool based on AI and machine learning for assessment and monitoring of the sustainability of urban water and wastewater systems (WWS) and rural WWS and sanitation management systems in Atyrau region to achieve joint SDG Targets 6.1.- 6.3.

Project Tasks: 

1. To conduct the review on the risk assessment tools used in assessing centralized water and wastewater supply systems, decentralized water supply and sanitation systems and by developing criteria to identify the most suitable tools for the assessment WWS of Atyrau city and rural areas. 2. To assess the current condition of WWS treatment and delivery systems including technical, environmental, chemical engineering, health and other prospectives based on the chosen tool from Task 1.

3. To define and assess the demand for possible increased water and wastewater and the need for the extension of the current WWS system within urban and rural context.

4. AI and machine learning based framework for development of extended sustainable WWS system models for Atyrau city and rural areas. It will be based on the principles of circular economy in treating wastewater and consider the safely managed drinking water and safely managed sanitation principles.

5. Developing integral AI and machine learning tool and decision support system for assessment and monitoring of the sustainability of water and wastewater systems and sanitation management systems in Atyrau region and with the possibility to up-scale results for the entire Kazakhstan . This study uses the concept of sustainable development and the latest research innovations within artificial intelligence (AI) and machine learning processes to assess the environmental, economic, and social potential of the extension of centralized water supply and wastewater systems in urban context using risk assessment tools. The systems approach is used for a comprehensive analysis of access to safely managed drinking water and sanitation services of cities through the sustainable extension of the WWS system.