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Multi-object approach and its application to adaptive water management under climate change

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Abstract

This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and applied to quantify water adaptive management for the demands of water sustainable use, water environmental protection and eco-water requirement under the climate change. For this study in China, two key indicators are proposed, namely (1) the water resources vulnerability (V) that was represented by integrated sensitivity (S) and resilience (C) of climate change impact on water resources, and (2) the sustainability of socio-economy and water environment, marked by DD, that is integrated scaler of socio-economic development (EG) based on the amount of GDP and the water environment and relative eco-system quality (LI). To find a reasonable solution for adaptive water management, a multi-objective decision making model of adaptive water management is further developed and the multi-objective model was transformed into an integrated single optimization model through developing an integrated measure function, called as VDD=DD/V. This approach has been applied to adaptive water resources planning and management for case study of China with new policy, called as the strict management of water resources based on three red line controls, i.e., the control of total water use by the total water resources allocation, the control of lower water use efficiency by the water demand management and the control of the total waste water load by water quality management in the Eastern China Monsoon Region that covers major eight big river basins including Yangtze River, Yellow River, Haihe River and Huaihe River. It is shown that the synthetic representation of water resource vulnerability and socio-economic sustainability by the integrated objective function (VDD) and integrated decision making model are workable and practicable. Adaptive management effect of the criterion compliance rate and water use efficiency are more appreciable through new water policy of the three red line controls, which can reduce 21.3% of the water resources vulnerability (V) and increase 18.4% of the sustainability of socioeconomy and water environment (DD) for the unfavorable scenario of climate change in 2030.

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References

  • Akamani K, Wilson P I, 2011. Toward the adaptive governance of transboundary water resources. Conservation Letters, 4(6): 409–416.

    Article  Google Scholar 

  • Allan C, Curtis A, Stankey G et al., 2008. Adaptive Management and Watersheds: A Social Science Perspective. Jawra Journal of the American Water Resources Association, 44(1): 166–174.

    Article  Google Scholar 

  • Aronson J, Kigel J, Shmida A et al., 1992. Adaptive phenology of desert and mediterranean populations of annual plants grown with and without water-stress. Oecologia, 89(1): 17–26.

    Article  Google Scholar 

  • Bates B, Kundzewicz Z W, Wu S et al., 2008. Climate change and water. Intergovernmental Panel on Climate Change (IPCC): IPCC Technical Paper VI. Bulletin of Flood and Drought Disasters in China, 2000–2011. Beijing: China Water & Power Press. (in Chinese)

    Google Scholar 

  • Chen Junxu, 2014. Research on vulnerability of water resources and adaption management to improve water quality of the water function area under changing environment in eastern monsoon areas [D]. Beijing: University of Chinese Academy of Sciences. (in Chinese)

    Google Scholar 

  • Chen J, Xia J, Zhao Z et al., 2016. Using the RESC model and diversity indexes to assess the cross-scale water resource vulnerability and spatial heterogeneity in the Huai River Basin, China. Water, 8(10): 431. doi: 10.3390/w8100431.

    Article  Google Scholar 

  • China City Statistical Yearbook, 2000–2011. Beijing: China Statistical Press. (in Chinese)

  • China Water Conservancy Yearbook, 2000–2011. Beijing: China Water & Power Press. (in Chinese)

  • China Water Resources Bulletin, 2000–2011. Beijing: China Water & Power Press. (in Chinese)

  • Govert D Geldof, 1995. Adaptive water management: Integrated water management on the edge of chaos. Water Science and Technology, 32(1): 7–13.

    Article  Google Scholar 

  • Gregory R, Failing L, Higgins P, 2006. Adaptive management and environmental decision making: A case study application to water use planning. Ecological Economics, 58(2): 434–447. PubMed PMID: WOS: 000238671700015.

    Article  Google Scholar 

  • Holling C S, 1978. Adaptive Environmental Assessment and Management. London: John Wiley & Sons.

    Google Scholar 

  • IPCC, 2013. Climate Change 2013: The Physical Science Basis. Work Group I Contribution to the IPCC Fifth Assessment Report (AR5). Stockholm, Sweden: IPCC.

    Google Scholar 

  • Jin Shuai, Sheng Zhaohan, Liu Xiaofeng, 2010. Complexity analysis on watershed system and adaptive management. China Population, Resources and Environment, 20(7): 60–67. (in Chinese)

    Google Scholar 

  • Liao Wengen, Shi Qiuchi, Beng Jing, 2004. Advanced research about water ecology and water environment subject and the development trends. China Water Resources, 22: 34–36. (in Chinese)

    Google Scholar 

  • Liu Fang, 2010. Water Resources Adaptive Management based on AHP. Modern Management Science, 9): 108–110. (in Chinese)

    Google Scholar 

  • Moglia M, Cook S, Sharma A K et al., 2011. Assessing decentralised water solutions: Towards a framework for adaptive learning. Water Resources Management, 25(1): 217–238.

    Article  Google Scholar 

  • Pahl-Wostl C, 2008. Requirements for Adaptive Water Management. Berlin: Springer-Verlag.

    Book  Google Scholar 

  • Pahl-Wostl C, Downing T, Kabat P et al., 2005. Transition to Adaptive Water Management: The NeWater Project. NeWater Report Series, No. 1.

  • Sophocleous M, 2000. From safe yield to sustainable development of water resources: The Kansas experience. Journal of Hydrology, 235(1): 27–43.

    Article  Google Scholar 

  • Statistic Bulletin on China Water Activities, 2000–2011. Beijing: China Water & Power Press. (in Chinese)

  • Tong Jinping, Wang Huimin, 2006. Research on water resources adaptive management in river basin. Soft Science, 20(2): 59–61. (in Chinese)

    Google Scholar 

  • Xia Jun, Liu Chunzhen, Ren Guoyu, 2011. Opportunity and challenge of the climate change impact on the water resource of China. Advances in Earth Science, 26(1): 457–464. (in Chinese)

    Google Scholar 

  • Xia Jun, Qiu Bing, Li Yuanyuan, 2012. Water resources vulnerability and adaptive management in the Huang, Huai and Hai river basins of China. Water International, 37(5): 523–536.

    Article  Google Scholar 

  • Xia Jun, Thomas Tanner, Ren Guoyu et al., 2008. Potential impacts of climate change on water resources in China: Screening for adaptation and management. Advances in Climate Change Research, 4): 215–219. (in Chinese)

    Google Scholar 

  • Xia Jun, Zuo Qiting, Shao Mincheng, 2003. Sustainable Utilization of Water Resources in Bosten Lake: Theory, Method and Practice. Beijing: Science Press. (in Chinese)

    Google Scholar 

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Acknowledgements

The authors appreciate the National Climate Centre for simulation results of climate changes by utilizing a regional climate model. The authors also appreciate the China Renewable Energy Engineering Institute for their predictions of water-demand.

Other data sources include the China Water Conservancy Almanac, the National Water Conservancy Development Statistical Bulletin, the China Water Resources Bulletin, the China Floods and Droughts Bulletin and the China City Statistical Yearbook.

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Correspondence to Jun Xia.

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Foundation: Major National Scientific Research Projects, No.2012CB956204; National Basic Research Program of China, No.2015CB452701, No.2010CB428406; National Natural Science Foundation of China, No.51279140

Author: Hong Si, PhD, specialized in climate change and water resources.

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Hong, S., Xia, J., Chen, J. et al. Multi-object approach and its application to adaptive water management under climate change. J. Geogr. Sci. 27, 259–274 (2017). https://doi.org/10.1007/s11442-017-1375-7

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  • DOI: https://doi.org/10.1007/s11442-017-1375-7

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