Author
Listed:
- Yuncheng Xu
(College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, China)
Abstract
Globally, agricultural irrigation accounts for the majority of freshwater use and 15% of annual agricultural greenhouse gas emissions, highlighting its critical mitigation potential amid climate change. While localized Chinese studies have analyzed the water–energy–carbon nexus, nationwide assessments of irrigation carbon-reduction potential, integrating crop water requirements, water use, and energy consumption, remain limited due to scarce longitudinal panel data. This study fills this gap by evaluating provincial-level potentials in China (2004–2020) using national/provincial statistical data on crop areas, irrigation water, energy use, and climate parameters. Findings reveal pronounced spatial–temporal variations: Henan, Heilongjiang, and Shandong exhibit the highest crop water demands (driven by rice/maize/wheat), while Heilongjiang, Jiangsu, and Guangdong show substantial water-saving opportunities. Xinjiang has the largest amount of irrigation-related carbon emissions, whereas the northeastern provinces offer the greatest reduction potential. A positive correlation between irrigation-carbon efficiency and groundwater utilization underscores the need for improved groundwater management. By linking crop water requirements to emission reductions through a nationally representative dataset, this study provides empirical evidence for region-specific strategies to enhance water-use efficiency and reduce irrigation’s environmental footprint. The findings inform policymakers on balancing agricultural productivity with sustainability goals, addressing both local water scarcity and global decarbonization imperatives.
Suggested Citation
Yuncheng Xu, 2025.
"Provincial-Level Carbon-Reduction Potential for Agricultural Irrigation in China,"
Sustainability, MDPI, vol. 17(12), pages 1-22, June.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:12:p:5501-:d:1679067
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