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Water Resources Management

, Volume 32, Issue 5, pp 1827–1847 | Cite as

Regional Water Use Structure Optimization Under Multiple Uncertainties Based on Water Resources Vulnerability Analysis

Article

Abstract

In this paper, a modeling framework by combining system dynamic (SD) model and optimal allocation model was developed to study water resources vulnerability and optimal water use structure, and the framework was applied in the middle reaches of Heihe River basin, northwest of China. The SD model could describe the dynamical change of water resources vulnerability by integrating water resources with socio-economic effect. The sensitivity analysis of SD model was then conducted to design appropriate scenarios for finding out the optimal development pattern, and based on which, an integrated water-saving scenario with lower water resources vulnerability was identified for optimization modeling. Then, an inexact fuzzy-parameter two-stage programming (IFTSP) model was developed and applied to optimize water use structure among industries under uncertainties. This study addresses the water resources vulnerability analysis in considering both water resources system and socio-economic system. Water resources vulnerability analysis was combined with optimization model to make adaptive water resources management plans. And the optimal allocation schemes under lower water resources vulnerability are more advantageous for regional sustainable development.

Keywords

Water resources vulnerability System dynamic model Water use structure optimization Inexact two-stage stochastic programming Fuzzy sets 

Notes

Acknowledgments

This research was supported by the National Nature Sciences Foundation of China (No.51439006, 91425302).

References

  1. Alessa L, Kliskey A, Lammers R, Arp C, White D, Hinzman L, Busey R (2008) The arctic water resource vulnerability index: an integrated assessment tool for community resilience and vulnerability with respect to freshwater. Environ Manag 42(3):523–541CrossRefGoogle Scholar
  2. Blazejczak J, Gornig M, Hartje V (2012) Downscaling nonclimatic drivers for surface water vulnerabilities in the Elbe river basin. Reg Environ Chang 12(1):69–80CrossRefGoogle Scholar
  3. Chen DD, Jin G, Zhang Q, Arowolo AO, Li YF (2016) Water ecological function zoning in Heihe River Basin, Northwest China. Phys Chem Earth 96:74–83CrossRefGoogle Scholar
  4. Dai S, Li L, Xu H, Pan XL, Li XM (2013) A system dynamics approach for water resources policy analysis in arid land: a model for Manas River Basin. J Arid Land 5(1):118–131CrossRefGoogle Scholar
  5. Forrester JW (1958) A breakthrough for decision makers. Havard Bus Rev 4(36):37–66Google Scholar
  6. Foti R, Ramirez J, Brown T (2014) Response surfaces of vulnerability to climate change: the Colorado River Basin, the High Plains, and California. Clim Chang 125:429–444CrossRefGoogle Scholar
  7. Guo P, Huang GH, He L, Zhu H (2009) Interval-parameter two-stage stochastic semi-infinite programming: application to water resources management under uncertainty. Water Resour Manag 23(5):1001–1023CrossRefGoogle Scholar
  8. Hamouda MA, Nour El-Din MM, Moursy FI (2009) Vulnerability assessment of water resources systems in the Eastern Nile Basin. Water Resour Manag 23(13):2697–2725CrossRefGoogle Scholar
  9. Huang GH, Loucks DP (2000) An inexact two-stage stochastic programming model for water resources management under uncertainty. Civ Eng Environ Syst 17:95–118CrossRefGoogle Scholar
  10. Jun KS, Chung E, Sung J, Lee KS (2011) Development of spatial water resources vulnerability index considering climate change impacts. Sci Total Environ 409(24):5228–5242CrossRefGoogle Scholar
  11. Kim Y, Chung E (2013) Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea. Appl Math Model 37(22):9419–9430CrossRefGoogle Scholar
  12. Li C (2010) System dynamics model of Suzhou water resources carrying capacity and its application [J]. Water Sci Eng 2(3):144–155Google Scholar
  13. Li W, Li YP, Li CH, Huang GH (2010) An inexact two-stage water management model for planning agricultural irrigation under uncertainty. Agric Water Manag 97(11):1905–1914CrossRefGoogle Scholar
  14. Li M, Guo P, Fang SQ, Zhang LD (2013) An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty. Stoch Env Res Risk A 27(6):1441–1452CrossRefGoogle Scholar
  15. Li M, Guo P, Zhang LD, Zhao JM (2015) Multi-dimensional critical regulation control modes and water optimal allocation for irrigation system in the middle reaches of Heihe River basin, China. Ecol Eng 76:166–177CrossRefGoogle Scholar
  16. Liu X, Ma SF, Tian JF, Jia N, Li G (2015) A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: a case study of Beijing. Energy Policy 85:253–270CrossRefGoogle Scholar
  17. Margat J (1968) Vulnerabilite des mappes d’eau souterraine a la pollution. BRGM Publication, OrleansGoogle Scholar
  18. Mirauda D, Ostoich M (2011) Surface water vulnerability assessment applying the integrity model as a decision support system for quality improvement. Environ Impact Assess Rev 31:161–171CrossRefGoogle Scholar
  19. Plummer R, de Loë R, Armitage D (2012) A systematic review of water vulnerability assessment tools. Water Resour Manag 26(15):4327–4346CrossRefGoogle Scholar
  20. Plummer R, Grosbois D, Armitage D, Loë R (2013) An integrative assessment of water vulnerability in First Nation communities in Southern Ontario, Canada. Glob Environ Chang 23:749–763CrossRefGoogle Scholar
  21. Qin X, Huang G, Chen B, Zhang B (2009) An interval-parameter waste-load-allocation model for river water quality management under uncertainty. Environ Manag 43(6):999–1012CrossRefGoogle Scholar
  22. Ren CF, Guo P, Li M, Li RH (2016) An innovative method for water resources carrying capacity research – Metabolic theory of regional water resources. J Environ Manag 167:139–146CrossRefGoogle Scholar
  23. Wang X, Ma FB, Li JY (2012) Water resources vulnerability assessment based on the parametric-system method: a case study of the Zhangjiakou Region of Guanting Reservoir Basin, North China. Procedia Environ Sci 13:1204–1212CrossRefGoogle Scholar
  24. Wu G, Li L, Ahmad S, Chen X, Pan X (2013) A dynamic model for vulnerability assessment of regional water resources in arid areas: a case Study of Bayingolin, China. Water Resour Manag 27(8):3085–3101CrossRefGoogle Scholar
  25. Wu F, Zhan J, Güneralp I (2015) Present and future of urban water balance in the rapidly urbanizing Heihe River Basin, Northwest China. Ecol Model 318:254–264CrossRefGoogle Scholar
  26. Wu F, Bai YP, Zhang YL, Li ZH (2017) Balancing water demand for the Heihe River Basin in Northwest China. Phys Chem Earth.  https://doi.org/10.1016/j.pce.2017.07.002
  27. Xi X, Kim LP (2015) A novel integrated decision support tool for sustainable water resources management in Singapore: synergies between system dynamics and analytic hierarchy process. Water Resour Manag 29:1329–1350CrossRefGoogle Scholar
  28. Xia J, Qiu B, Li Y (2012) Water resources vulnerability and adaptive management in the Huang, Huai and Hai river basins of China. Water Int 37(5):523–536CrossRefGoogle Scholar
  29. Xia J, Shi W, Luo XP, Hong S, Ning LK, Christopher JG (2015) Revisions on water resources vulnerability and adaption measures under climate change. Adv Water Sci 26(02):279–286 in ChineseGoogle Scholar
  30. Xiong Y, Li JZ, Jiang DL (2015) Optimization research on supply and demand system for water resources in the Chang-Zhu-Tan urban agglomeration. J Geogr Sci 25(11):1357–1376CrossRefGoogle Scholar
  31. Zadeh LA (1999) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 100:9–34CrossRefGoogle Scholar
  32. Zhang AJ, Zheng CM, Wang S, Yao YY (2015) Analysis of streamflow variations in the Heihe River Basin, northwest China: trends, abrupt changes, driving factors and ecological influences. J Hydrol Reg Stud 3:106–124CrossRefGoogle Scholar
  33. Zhao LJ, Xiao HL, Guo TW, Bao XG, Yang WY (2005) Spatial fertility variability of irrigated desert soil in Hexi Region of Gansu province. Agric Res Arid Areas 23(1):70–74 in ChineseGoogle Scholar
  34. Zhu H, Huang GH, Guo P (2012) SIFNP: simulation-based interval-fuzzy nonlinear programming for seasonal planning of stream water quality management. Water Air Soil Pollut 223(5):2051–2072CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Agricultural Water Research in ChinaChina Agricultural UniversityBeijingPeople’s Republic of China
  2. 2.Taihu Basin Authority, Ministry of Water ResourcesShanghaiChina
  3. 3.Environmental Engineering ProgramUniversity of Northern British ColumbiaPrince GeorgeCanada

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