EGU23-15271, updated on 26 Mar 2024
https://doi.org/10.5194/egusphere-egu23-15271
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Water Efficient Allocation in a Central Asian Transboundary River Basin

Jingshui Huang1, Max Linsen2, Timo Schaffhauser1, and Markus Disse1
Jingshui Huang et al.
  • 1Chair of Hydrology and River Basin Management, Technical University of Munich, Munich, Germany (jingshui.huang@tum.de)
  • 2Portolan Association, Geneva, Switzerland

Mountainous regions in Central Asia are vulnerable to the consequences of climate change. Making appropriate decisions for the allocation of water over communities, the environment and key economic sectors, such as agriculture and energy, is increasingly challenging due to economic and population growth as well as climate-induced changes in hydrological regimes in Central Asia’s main transboundary river basins. The Water Efficient Allocation in a Central Asian Transboundary River Basin (WE-ACT) Project proposes establishing a climate-sensitive Decision Support System for water allocation in two sub-catchments of a transboundary river basin in Central Asia, namely the Naryn and Kara Darya catchments of the Syr Darya River Basin (covering parts of Kyrgyzstan and Uzbekistan). Based on an innovative water information system that captures a thorough understanding of water availability, demand, footprint and allocation in a glacier-fed river basin, WE-ACT will enable water managers to interact with an accessible and intuitive DSS to alleviate water stress for communities, the economy and the environment on the short- and long-term. WE-ACT will enable them to adapt the allocation of water resources to the known and expected effects of climate change, while encouraging the improvement of policies to correctly set water tariffs, reduce water footprints and increase water use efficiency in agriculture and energy sectors. The backbone of the project is a reliable data supply chain based on real-time monitoring, integrated water demand-, availability- and use modelling approach, machine-learning, and data storage in a transboundary context. This will be matched with an in-depth understanding of water policies and priorities that face increasing pressures of climate change, growing demand and water dependency. End-users of the project outcomes (hydrometeorological stations, integrated models, DSS for water allocation) will be carefully mapped, invited, involved, and trained to establish and use meaningful results from the outset of the project.

How to cite: Huang, J., Linsen, M., Schaffhauser, T., and Disse, M.: Water Efficient Allocation in a Central Asian Transboundary River Basin, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15271, https://doi.org/10.5194/egusphere-egu23-15271, 2023.