This panel, entitled "Good Practices in Metropolitan Water Management," aims to examine sustainable, resilient, and integrated water management approaches within a multidimensional framework, addressing the deepening water stress experienced by metropolitan cities under the compounding pressures of population growth, rapid urbanization, and climate change. The panel will discuss, from both technical and managerial perspectives, the following thematic areas: non-revenue water management strategies for improving water use efficiency; digitalization and data-driven decision support mechanisms in water management; the significance of master planning in water and sewerage administrations with regard to institutional capacity and long-term investment planning; and the role of membrane technologies in the utilization of non-conventional water resources. The overarching objectives of the panel are to strengthen evidence-based policy dialogue among local governments, water and sewerage administrations, academia, and the private sector; to analyze good practice examples concerning the integration of innovative technologies into strategic planning processes; and to develop actionable recommendations in support of water supply security.
The panel outputs are intended to bridge the gap between theoretical frameworks and field applications by presenting concrete implementation experiences in the context of urban water resilience, integrated water resources management, and climate change adaptation policies — in alignment with the overarching theme of the 5th Istanbul International Water Forum. In this regard, the panel will contribute a technical and institutional perspective to global water policy discourse.
Objectives and expected outcomes:
Keywords: Metropolitan water management, urban resilience, integrated water resources management, climate change adaptation, non-revenue water (loss and leakage) management, digitalization, data-driven decision support systems, alternative (non-conventional) water resources, master planning