30% increase in underground water by promoting cooperation and aligning stakeholders – RCO News Agency

According to RCO News Agency, citing Tehran University, a new study by researchers Schools Technical University of Tehran, focusing on Modeling Beneficiaries’ behavior in an environment related to water resources engineering and management, simultaneously with Modeling The physical part of the system is done.

The results of this research show that promoting cooperation between stakeholders in the management of urban water resources and the use of recycled wastewater can increase the level of underground water by 30% and reduce nitrate concentration by 50%.

Reza Karachian, a professor at the Faculty of Civil Engineering, said about this issue: bringing individual optimality closer to social optimality by looking at social attachments such as social learning, social network analysis and analysis mortgage holders (Stakeholder Analysis) in order to expand inter-departmental cooperation and Modeling Collaborative process in context Modeling The physics of urban water resources is the most important part of the current research. By providing a new framework, this study emphasizes the role of social networks and collective learning in achieving sustainable water management.

The professor of the Faculty of Civil Engineering emphasized: Based on this study, the dissemination and institutionalization of cooperation among different stakeholders in large-scale water resources management systems plays a key role in achieving optimal social and environmental results.

He further stated about the steps of conducting this research: By providing a new framework, this research has examined how to form and expand cooperation in the management of urban water resources and treated wastewater, especially in areas where rivers and underground water are under severe pressure due to competition of interests, industrial pollution and rapid urbanization.

teacher Schools Pointing out that in this research, a combination of social network analysis, stakeholder analysis, and social learning evaluation was used to model the diffusion of cooperation in this research, he added: A physical model was used to evaluate the quantity and quality of water and a multifactorial model was used to simulate the behavior and decision-making of stakeholders, and the process of diffusion of cooperation was structured and evaluated using the linear threshold model.

Stating that this method has been implemented in the Ken River catchment area in the west of Tehran metropolis, he stated: The findings indicate that promoting cooperation significantly improves the performance of the system and increases social benefits by aligning the goals of the stakeholders. On average, the water level in the aquifer (groundwater table) has increased by 30% and the nitrate concentration has decreased by about 50%.

The researcher of Tehran University explained the results from the perspective of policy making and added: combining technical measures such as reuse of wastewater with cooperative reforms and strengthening mechanisms Involvement Stakeholders are essential to achieving sustainable results. Also, empowering connecting players and institutionalizing collaborative dialogue opportunities can strengthen cooperation and increase the long-term social acceptability of water governance strategies, and without these considerations, it will be difficult to achieve sustainable development.

The management of large-scale systems is a complex and intertwined process with the behavior and level of cooperation of the stakeholders involved in it. In other words, it is not possible to achieve desirable results in the field of environmental sustainability of a system regardless of the level of cooperation or non-cooperation of stakeholders.

This research focuses on the importance of considering social attachments in a close and intertwined relationship with Modeling Physical, as well as the design of interactive mechanisms to expand cooperation in the sustainable management of water resources in complex and large-scale systems. The results of this study can be seen in the form of an article in this link.