Articles | Volume 379
https://doi.org/10.5194/piahs-379-301-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-379-301-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The impacts of climate change on irrigation and crop production in Northeast China and implications for energy use and GHG Emission
Tingting Yan
Development Research Center of the Ministry of Water Resources, Beijing 100038, China
Jinxia Wang
CORRESPONDING AUTHOR
School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
Jikun Huang
School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
Wei Xie
School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
Tingju Zhu
International Food Policy Research Institute, 2033 K St, NW, Washington, DC 20006, USA
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Yuhan Yan, Tingju Zhu, Ximing Cai, Zhenxing Zhang, Yunlu Ma, and Jay R. Lund
EGUsphere, https://doi.org/10.2139/ssrn.5220427, https://doi.org/10.2139/ssrn.5220427, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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This study explores how to manage water more effectively in dry river basins by developing a decision model that links natural water systems with economic use. Applied to China’s Yellow River, the model finds that managing water fairly and efficiently requires better coordination between upstream and downstream users, smarter reservoir use, and valuing water where it benefits people most. The approach can support water planning in other stressed basins.
Sadia Bibi, Tingju Zhu, Ashraf Rateb, Bridget R. Scanlon, Muhammad Aqeel Kamran, Abdelrazek Elnashar, Ali Bennour, and Ci Li
Hydrol. Earth Syst. Sci., 28, 1725–1750, https://doi.org/10.5194/hess-28-1725-2024, https://doi.org/10.5194/hess-28-1725-2024, 2024
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We assessed 13 global models using GRACE satellite data over 29 river basins. Simulated seasonal water storage cycles showed discrepancies compared to GRACE. The models overestimated seasonal amplitude in boreal basins and showed underestimation in tropical, arid, and temperate zones, with phase differences of 2–3 months compared to GRACE in cold basins and of 1 month in temperate, arid, and semi-arid basins. Seasonal amplitude and phase differences provide insights for model improvement.
Yanrong Li and Jinxia Wang
Proc. IAHS, 379, 89–104, https://doi.org/10.5194/piahs-379-89-2018, https://doi.org/10.5194/piahs-379-89-2018, 2018
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Econometric results revealed that temperature is negatively related with the supply reliability of surface water irrigation; but precipitation positively influences the supply reliability of surface water irrigation. For instance, increasing temperature by 0.5 °C will reduce the supply reliability of surface water irrigation by 1.1 %. When precipitation increases by 10 %, the supply reliability can be increased by 4.6 %. Besides, climate influence differs by seasons.
Tingju Zhu, Petra Döll, Hannes Müller Schmied, Claudia Ringler, and Mark W. Rosegrant
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-216, https://doi.org/10.5194/gmd-2017-216, 2017
Revised manuscript has not been submitted
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The global hydrological model IGHM was developed to simulate water availability over global land areas month by month. The simulated water availability is for analyzing irrigation water supply and crop production in a global water and food projections model, IMPACT. Water availability simulated by another global hydrological model, WGHM, was used to determine parameter values in IGHM. This paper describes the structure of IGHM, the method of its parameter determination, and its performance.
Zhengtao Zhang, Ning Li, Wei Xie, Yu Liu, Jieling Feng, Xi Chen, and Li Liu
Nat. Hazards Earth Syst. Sci., 17, 367–379, https://doi.org/10.5194/nhess-17-367-2017, https://doi.org/10.5194/nhess-17-367-2017, 2017
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This paper was the first to assess and analyze the ripple effects of indirect economic loss and spatial heterogeneity of both direct and indirect economic loss caused by a hypothetical earthquake, with the same magnitude as the 2008 Wenchuan earthquake, in the disaster-hit area of Beijing at the scale of the smallest administrative divisions in China (streets, villages, and towns). The results will help the government better allocate rescue funds to the regions that may suffer serious damage.
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Short summary
Climate change impact assessment should fully consider the nexus among water, food and energy. In Northeast China, climate change is projected to increase the gap between irrigation supply and demand, reduce not only crops output, but also energy use and GHG emission from irrigation in 2030. The adaptation measures adopted by farmers will lessen the risk of climate change, such as implementing irrigation measures, optimizing the cropping pattern and improving water productivities.
Climate change impact assessment should fully consider the nexus among water, food and energy....