Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2035-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2035-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Decreased virtual water outflows from the Yellow River basin are increasingly critical to China
Shuang Song
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Institute of Land Surface System and Sustainability,
Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Institute of Land Surface System and Sustainability,
Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Xutong Wu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Institute of Land Surface System and Sustainability,
Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Yongyuan Huang
Science Policy Research Unit (SPRU), University of Sussex, Brighton BN1 9SN, UK
Bojie Fu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
Institute of Land Surface System and Sustainability,
Faculty of Geographical Science, Beijing Normal University,
Beijing 100875, PR China
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Cited articles
Arthur, W. B.: Foundations of Complexity Economics, Nature Reviews Physics, 3,
136–145, https://doi.org/10.1038/s42254-020-00273-3, 2021. a
Bae, J. and Dall'erba, S.: Crop Production, Export of Virtual Water
and Water-saving Strategies in Arizona, Ecol. Econ., 146,
148–156, https://doi.org/10.1016/j.ecolecon.2017.10.018, 2018. a
Balassa, B.: Trade Liberalisation and “Revealed” Comparative
Advantage, Man. Sch., 33, 99–123,
https://doi.org/10.1111/j.1467-9957.1965.tb00050.x, 1965. a
Best, J.: Anthropogenic Stresses on the World's Big Rivers, Nat. Geosci.,
12, 7–21, https://doi.org/10.1038/s41561-018-0262-x, 2019. a
Chini, C. M., Djehdian, L. A., Lubega, W. N., and Stillwell, A. S.: Virtual
Water Transfers of the US Electric Grid, Nature Energy, 3, 1115–1123,
https://doi.org/10.1038/s41560-018-0266-1, 2018. a
Conference on Priorities for Water Resources Allocation and Management:
Proceedings of the Conference on Priorities for Water Resources
Allocation and Management: Natural Resources and Engineering
Advisers Conference, Southampton, July 1992, Overseas Development
Administration, London, https://www.ircwash.org/resources/proceedings-conference-priorities-water-resources-allocation-and-management-natural
(last access: 14 April 2022),
1993. a
Dalin, C., Qiu, H., Hanasaki, N., Mauzerall, D. L., and Rodriguez-Iturbe, I.:
Balancing Water Resource Conservation and Food Security in China,
P. Natl. Acad. Sci. USA, 112, 4588–4593,
https://doi.org/10.1073/pnas.1504345112, 2015. a
Dolan, F., Lamontagne, J., Link, R., Hejazi, M., Reed, P., and Edmonds, J.:
Evaluating the Economic Impact of Water Scarcity in a Changing World, Nat.
Commun., 12, 1915, https://doi.org/10.1038/s41467-021-22194-0, 2021. a, b
Fang, D. and Chen, B.: Ecological Network Analysis for a Virtual Water
Network, Environ. Sci. Technol., 49, 6722–6730,
https://doi.org/10.1021/es505388n, 2015. a
Fang, D., Fath, B. D., Chen, B., and Scharler, U. M.: Network Environ Analysis
for Socio-Economic Water System, Ecol. Indic., 47, 80–88,
https://doi.org/10.1016/j.ecolind.2014.04.046, 2014. a, b
Fu, B., Wang, S., Liu, Y., Liu, J., Liang, W., and Miao, C.: Hydrogeomorphic
Ecosystem Responses to Natural and Anthropogenic Changes in the
Loess Plateau of China, Annu. Rev. Earth Pl. Sc.,
45, 223–243, https://doi.org/10.1146/annurev-earth-063016-020552, 2017. a
Gleick, P. H. and Palaniappan, M.: Peak Water Limits to Freshwater Withdrawal
and Use, P. Natl. Acad. Sci. USA, 107,
11155–11162, https://doi.org/10.1073/pnas.1004812107, 2010. a
Grafton, R. Q., Williams, J., Perry, C. J., Molle, F., Ringler, C., Steduto,
P., Udall, B., Wheeler, S. A., Wang, Y., Garrick, D., and Allen, R. G.: The
Paradox of Irrigation Efficiency, Science, 361, 748–750,
https://doi.org/10.1126/science.aat9314, 2018. a, b
Hidalgo, C. A.: Economic Complexity Theory and Applications, Nature Reviews
Physics, 3, 92–113, https://doi.org/10.1038/s42254-020-00275-1, 2021. a, b, c
Hidalgo, C. A. and Hausmann, R.: The Building Blocks of Economic Complexity,
P. Natl. Acad. Sci. USA, 106, 10570–10575,
https://doi.org/10.1073/pnas.0900943106, 2009. a, b, c
Hidalgo, C. A., Klinger, B., Barabási, A.-L., and Hausmann, R.: The
Product Space Conditions the Development of Nations, Science,
317, 482–487, https://doi.org/10.1126/science.1144581, 2007. a
Hoekstra, A. Y.: Water Scarcity Challenges to Business, Nature Climate Change,
4, 318–320, https://doi.org/10.1038/nclimate2214, 2014. a
Jaramillo, F. and Destouni, G.: Local Flow Regulation and Irrigation Raise
Global Human Water Consumption and Footprint, Science, 350, 1248–1251,
https://doi.org/10.1126/science.aad1010, 2015. a
Li, M., Wiedmann, T., Liu, J., Wang, Y., Hu, Y., Zhang, Z., and Hadjikakou, M.:
Exploring Consumption-Based Planetary Boundary Indicators: An Absolute
Water Footprinting Assessment of Chinese Provinces and Cities, Water
Res., 184, 116163, https://doi.org/10.1016/j.watres.2020.116163, 2020. a, b
Liu, J. and Yang, W.: Water Sustainability for China and Beyond,
Science, 337, 649–650, https://doi.org/10.1126/science.1219471, 2012. a
Liu, J., Yang, H., Gosling, S. N., Kummu, M., Flörke, M., Pfister, S.,
Hanasaki, N., Wada, Y., Zhang, X., Zheng, C., Alcamo, J., and Oki, T.: Water
Scarcity Assessments in the Past, Present, and Future, Earth's Future, 5,
545–559, https://doi.org/10.1002/2016EF000518, 2017. a, b
Long, D., Yang, W., Scanlon, B. R., Zhao, J., Liu, D., Burek, P., Pan, Y., You,
L., and Wada, Y.: South-to-North Water Diversion Stabilizing
Beijing's Groundwater Levels, Nat. Commun., 11, 3665,
https://doi.org/10.1038/s41467-020-17428-6, 2020. a
Luptáčik, M.: Scarcity and Efficiency, in: Mathematical
Optimization and Economic Analysis, edited by: Luptácik, M.,
Springer Optimization and Its Applications, Springer,
New York, NY, 3–24, https://doi.org/10.1007/978-0-387-89552-9_1, 2010. a
Mekonnen, M. M. and Hoekstra, A. Y.: The green, blue and grey water footprint of crops and derived crop products, Hydrol. Earth Syst. Sci., 15, 1577–1600, https://doi.org/10.5194/hess-15-1577-2011, 2011. a, b
Mekonnen, M. M. and Hoekstra, A. Y.: Four Billion People Facing Severe Water
Scarcity, Science Advances, 2, e1500323, https://doi.org/10.1126/sciadv.1500323,
2016. a
Mekonnen, M. M. and Hoekstra, A. Y.: Blue Water Footprint Linked to National
Consumption and International Trade Is Unsustainable, Nature Food, 1,
792–800, https://doi.org/10.1038/s43016-020-00198-1, 2020. a, b
Meng, J., Fan, J., Ludescher, J., Ankit, A., Chen, X., Bunde, A., Kurths, J.,
and Schellnhuber, H. J.: Complexity Based Approach for El Nino Magnitude
Forecasting before the “Spring Predictability Barrier”, P. Natl. Acad. Sci. USA, 117, 177–183, https://doi.org/10.1073/pnas.1917007117,
2020. a
Oki, T. and Kanae, S.: Virtual Water Trade and World Water Resources, Water
Sci. Technol., 49, 203–209, https://doi.org/10.2166/wst.2004.0456, 2004. a, b
Sciarra, C., Chiarotti, G., Ridolfi, L., and Laio, F.: Reconciling Contrasting
Views on Economic Complexity, Nat. Commun., 11, 3352,
https://doi.org/10.1038/s41467-020-16992-1, 2020. a, b, c
SongshGeo: complexity_yrb, GitHub, https://github.com/SongshGeo/complexity_yrb, last access: 14 April 2022. a
Sun, J., Yin, Y., Sun, S., Wang, Y., Yu, X., and Yan, K.: Review on Research
Status of Virtual Water: The Perspective of Accounting Methods, Impact
Assessment and Limitations, Agr. Water Manage., 243, 106407,
https://doi.org/10.1016/j.agwat.2020.106407, 2021. a
Wagner, M.: The Porter Hypothesis Revisited: A Literature Review of
Theoretical Models and Empirical Tests, Tech. Rep. 0407014,
University Library of Munich, Germany, https://ideas.repec.org/p/wpa/wuwppe/0407014.html (last access: 14 April 2022), 2004. a
Wang, Y., Peng, S., Jiang, G., and Fang, H.: Thirty Years of the Yellow
River Water Allocation Scheme and Future Prospect, MATEC Web
Conf., 246, 01083, https://doi.org/10.1051/matecconf/201824601083, 2018. a, b
Wang, Y., Zhao, W., Wang, S., Feng, X., and Liu, Y.: Yellow River Water
Rebalanced by Human Regulation, Sci. Rep.-UK, 9, 9707,
https://doi.org/10.1038/s41598-019-46063-5, 2019. a, b, c, d
Wang, Z., Xia, J., Zhou, M., Deng, S., and Li, T.: Modelling Hyperconcentrated
Floods in the Middle Yellow River Using an Improved River Network Model,
Catena, 190, 104544, https://doi.org/10.1016/j.catena.2020.104544, 2020. a
waterfootprint network: https://waterfootprint.org/en/resources/waterstat/wf-crop-production-and-consumption-china/, last access: 14 April 2022. a
Xie, P., Zhuo, L., Yang, X., Huang, H., Gao, X., and Wu, P.: Spatial-Temporal
Variations in Blue and Green Water Resources, Water Footprints and Water
Scarcities in a Large River Basin: A Case for the Yellow River Basin,
J. Hydrol., 590, 125222, https://doi.org/10.1016/j.jhydrol.2020.125222, 2020. a, b
Yang, Z., Mao, X., Zhao, X., and Chen, B.: Ecological Network Analysis on
Global Virtual Water Trade, Environ. Sci. Technol., 46,
1796–1803, https://doi.org/10.1021/es203657t, 2012. a
Yoon, J., Klassert, C., Selby, P., Lachaut, T., Knox, S., Avisse, N., Harou,
J., Tilmant, A., Klauer, B., Mustafa, D., Sigel, K., Talozi, S., Gawel, E.,
Medellín-Azuara, J., Bataineh, B., Zhang, H., and Gorelick, S. M.: A
Coupled Human–Natural System Analysis of Freshwater Security under
Climate and Population Change, P. Natl. Acad. Sci. USA, 118, e2020431118, https://doi.org/10.1073/pnas.2020431118, 2021. a
Yu, D. and Ding, T.: Assessment on the Flow and Vulnerability of Water
Footprint Network of Beijing City, China, Journal of Cleaner
Production, 293, 126126, https://doi.org/10.1016/j.jclepro.2021.126126, 2021. a
Zhai, M., Huang, G., Liu, L., Xu, X., and Li, J.: Transfer of Virtual Water
Embodied in Food: A New Perspective, Sci. Total Environ.,
659, 872–883, https://doi.org/10.1016/j.scitotenv.2018.12.433, 2019.
a
Zhou, F., Bo, Y., Ciais, P., Dumas, P., Tang, Q., Wang, X., Liu, J., Zheng, C.,
Polcher, J., Yin, Z., Guimberteau, M., Peng, S., Ottle, C., Zhao, X., Zhao,
J., Tan, Q., Chen, L., Shen, H., Yang, H., Piao, S., Wang, H., and Wada, Y.:
Deceleration of China's Human Water Use and Its Key Drivers, P. Natl. Acad. Sci. USA, 117, 7702–7711,
https://doi.org/10.1073/pnas.1909902117, 2020. a, b, c, d
Zhuo, L., Mekonnen, M. M., and Hoekstra, A. Y.: The Effect of Inter-Annual
Variability of Consumption, Production, Trade and Climate on Crop-Related
Green and Blue Water Footprints and Inter-Regional Virtual Water Trade: A
Study for China (1978–2008), Water Res., 94, 73–85,
https://doi.org/10.1016/j.watres.2016.02.037, 2016a. a, b, c, d
Zhuo, L., Mekonnen, M. M., Hoekstra, A. Y., and Wada, Y.: Inter- and
Intra-Annual Variation of Water Footprint of Crops and Blue Water Scarcity in
the Yellow River Basin (1961–2009), Adv. Water
Resour., 87, 29–41, https://doi.org/10.1016/j.advwatres.2015.11.002,
2016b. a, b, c, d
Zhuo, L., Li, M., Wu, P., Huang, H., and Liu, Y.: Assessment of crop related
physical-virtual water coupling flows and driving forces in Yellow River
basin, J. Hydraul. Eng., 51, 1059–1069,
https://doi.org/10.13243/j.cnki.slxb.20200336, 2020. a
Short summary
A reasonable assessment of the contribution of the water resources in a river basin to domestic crops supplies will be the first step in balancing the water–food nexus. Our results showed that although the Yellow River basin had reduced its virtual water outflow, its importance to crop production in China had been increasing when water footprint networks were considered. Our complexity-based approach provides a new perspective for understanding changes in a basin with a severe water shortage.
A reasonable assessment of the contribution of the water resources in a river basin to domestic...