| Issue |
E3S Web Conf.
Volume 719, 2026
International Forum of Global Advances in Sustainable Environment, Energy, and Earth Sciences (GASES 2026)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 6 | |
| Section | Hydrology and Water Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202671903002 | |
| Published online | 16 June 2026 | |
Water-energy-food nexus-based irrigation planning for drought-prone agricultural regions: A case study of Gansu Province
1 Northwest A&F University, Yangling, China
2 Ural State University of Economics, Yekaterinburg, Russia
3 Samarkand State University named after Sharof Rashidov, Samarkand, Uzbekistan
4 Karshi State University, Kashkadarya, Uzbekistan.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Drought-prone irrigation districts increasingly face concurrent challenges of water scarcity, rising energy costs for water delivery and the obligation to maintain stable food production. This article develops an integrated water–energy–food nexus framework for irrigation planning in arid agricultural regions and applies it to a representative set of irrigation schemes in Gansu Province, north-western China. The framework links hydrological allocation, crop choice, irrigation scheduling and energy use for pumping within a unified multi-objective optimisation model. It evaluates trade-offs between reduced consumptive water use, lower energy demand, environmental flow protection and robust crop yields under recurrent drought. Scenario analysis shows that nexus-based irrigation plans can lower total irrigation withdrawals by around one fifth while reducing pumping energy requirements and sustaining staple grain output. The results demonstrate how coordinated management of water, energy and food objectives can enhance drought resilience in data-scarce, infrastructure-dependent farming landscapes. The approach is transferable to other semi-arid regions.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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