Advertisement

Environmental Science and Pollution Research

, Volume 26, Issue 26, pp 27516–27533 | Cite as

Dynamic simulation of the optimal allocation of water resources via the introduction of integrated water environmental policies in Baoding, China

  • Siyu Mou
  • Jingjing YanEmail author
  • Jinghua Sha
  • Shule Li
  • Yufang Ma
  • Gengyu He
  • Ci Song
Research Article
  • 163 Downloads

Abstract

With rapid industrialization and urbanization, regional water shortages and water quality deterioration have posed great challenges for the sustainable development of cities in North China, especially those with a large demand for agricultural irrigation water. Based on an input-output analysis, this paper develops a dynamic optimization model consisting of three sub-models and multiple constraint conditions to solve the water crisis of Baoding, a typical city experiencing water shortages and serious water pollution in North China. The water resource carrying capacity (WRCC) indicator is introduced in the analysis of the results to comprehensively assess the effect of integrated water environmental policies (IWEPs) from 2013 to 2025. In the optimal scenario, the annual chemical oxygen demand (COD) discharge and annual water demand in Baoding can be reduced by 2.6% and 0.6%, respectively, with an annual gross regional product (GRP) growth rate of 7.52%. The WRCC can be improved from moderately overloaded to weakly unsaturated, which indicates that water resources can meet the socioeconomic development requirements. The results demonstrate the effectiveness of the linear optimization model with input-output analysis in coordinating the relationships among water demand, water environment protection, and economic development, and the IWEPs provide an applicable reference for decision-makers in Baoding and other similar cities in North China to address deteriorating water systems.

Keywords

Baoding Linear optimization model Input-output analysis Water resources optimal allocation Integrated water environmental policies Sustainable development 

Notes

Acknowledgments

The authors are very grateful to the reviewers for their insightful and constructive comments and proposed corrections, which have substantially improved the quality of the paper, as well as the editors for their help with the paper.

Funding information

This work was supported by the National Natural Science Foundation of China (No. 41101559) and the Beijing Social Science Foundation (No. 14JGC116).

Supplementary material

11356_2019_5537_MOESM1_ESM.docx (29 kb)
ESM 1 (DOCX 29 kb)

References

  1. Ait-Aoudia MN, Berezowska-Azzag E (2016) Water resources carrying capacity assessment: the case of Algeria’s capital city. Habitat Int 58:51–58CrossRefGoogle Scholar
  2. Baoding Bureau of Land Resources (2017) General Land Utilization Plans of Baoding 2006–2020 http://bd.hebgt.gov.cn/baoding/zwgk/ghjh/101510306830682.html. Accessed 11 Dec 2017
  3. Baoding Government (2013) Urban master plan of Baoding City 2011–2020. http://www.bd.gov.cn/content-173-9449.html. Accessed 11 Dec 2017
  4. Baoding Government (2016) The 13th Five-Year Plan of Baoding. http://www.bd.gov.cn/xxgkcontent-888888017-139242.html. Accessed 11 Dec 2017
  5. Baoding Government (2017) Baoding City environmental quality report in 2016. http://www.bd.gov.cn/content-381-122530.html. Accessed 11 Dec 2017
  6. Baoding Statistics Bureau (2013) Baoding statistical yearbook. China statistics press, BeijingGoogle Scholar
  7. Baoding Statistics Bureau (2018) Baoding statistical yearbook. China statistics press, BeijingGoogle Scholar
  8. Baoding Water Resources Bureau (2016) The 13th five-year plan for the development of water conservancy of Baoding. http://slj.bd.gov.cn/ejzwgk-97-91-list.html. Accessed 11 De 2017
  9. Cai YP, Yue WC, Xu LY, Yang Z, Rong Q (2016) Sustainable urban water resources management considering life-cycle environmental impacts of water utilization under uncertainty. Resour Conserv Recycl 108:21–40CrossRefGoogle Scholar
  10. Chang FJ, Wang KW (2013) A systematical water allocation scheme for drought mitigation. J Hydrol 507:124–133CrossRefGoogle Scholar
  11. China's Ministry of Environmental Protection (2011) Manual of pollutant emission coefficient of pollution source census. China environmental science press, BeijingGoogle Scholar
  12. Dai D, Sun MD, Xu XQ, Lei K (2019) Assessment of water resource carrying capacity based on the ecological footprint: a case study in Zhangjiakou City, North China. Environ Sci Pollut Res 26:11000–11011CrossRefGoogle Scholar
  13. Department of Water Resources of Hebei Province (2016) Hebei Province Local Standard of Water-use Quota. http://www.hebwater.gov.cn/a/2016/03/02/1456912236691.html. Accessed 11 December 2017
  14. Dias AC, Lemos D, Gabarrell X, Arroja L (2014) Environmentally extended input-output analysis on a city scale-applicaion to Aveiro (Portual). J Clean Prod 75:118–129CrossRefGoogle Scholar
  15. Fu ZH, Zhao HJ, Wang H, Lu WT, Wang J, Guo HC (2017) Integrated planning for regional development planning and water resources management under uncertainty: a case study of Xining. J Hydrol 554:623–634CrossRefGoogle Scholar
  16. Han Y, Huang YF, Wang GQ, Maqsood I (2011) A multi-objective linear programming model with interval parameters for water resources allocation in Dalian City. Water Resour Manag 25(2):449–463CrossRefGoogle Scholar
  17. He GY, Yan JJ, Sha JH, Song C, Zhong S (2016) Exploration of an optimal policy for water resources management including the introduction of advanced sewage treatment technologies in Zaozhuang City, China. Water 8(12):608CrossRefGoogle Scholar
  18. He L, Chen YZ, Kang Y, Tian P, Zhao H (2018) Optimal water resource management for sustainable development of the chemical industrial park under multi-uncertainty and multi-pollutant control. Environ Sci Pollut Res 25(27):27245–27259CrossRefGoogle Scholar
  19. Higano Y, Yoneta A (1999) Economical policies to relieve contamination of Lake Kasumigaura. Stud Reg Sci 29(3):205–218. in JapaneseGoogle Scholar
  20. Ke WL, Sha JH, Yan JJ, Zhang G, Wu R (2016) A multi-objective input-output linear model for water supply, economic growth and environmental planning in resource-based cities. Sustainability 8(2):160CrossRefGoogle Scholar
  21. Kotir JH, Smith C, Brown G, Marshall N, Johnstone R (2016) A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana. Sci Total Environ 573:444–457CrossRefGoogle Scholar
  22. Leontief W (1970) Environmental repercussions and the economic structure: an input-output approach. Rev Econ Stat 52(3):262–271CrossRefGoogle Scholar
  23. Li YY, Cui Q, Li CH, Wang X, Cai Y, Cui G, Yang Z (2017) An improved multi-objective optimization model for supporting reservoir operation of China’s South-to-North water. Sci Total Environ 575:970–981CrossRefGoogle Scholar
  24. Li Z, Li CH, Wang X, Peng C, Cai Y, Huang W (2018) A hybrid system dynamics and optimization approach for supporting sustainable water resources planning in Zhengzhou City. J Hydrol 556:50–60CrossRefGoogle Scholar
  25. Li M, Fu Q, Singh VP, Ji Y, Liu D, Zhang C, Li T (2019) An optimal modelling approach for managing agricultural water-energy-food nexus under uncertainty. Sci Total Environ 651:1416–1434CrossRefGoogle Scholar
  26. Lu C, Li W (2019) A comprehensive city-level GHGs inventor accounting quantitative estimation with an empirical case of Baoding. Sci Total Environ 651:601–613CrossRefGoogle Scholar
  27. Maier HR, Jain A, Dandy GC (2010) Methods used for the development of neural networks for the prediction of water resource variables in river systems: current status and future directions. Environ Model Softw 25(8):891–909CrossRefGoogle Scholar
  28. Mcclanahan T, Sakurai K, Kobayashi S et al (2007) A simulation analysis of synthetic environment policy: effective utilization of biomass resources and reduction of environmental burdens in Kasumigaura basin. Stud Reg Sci 36(2):355–374. in JapaneseGoogle Scholar
  29. Ministry of Ecology and Environment of the People’s Republic of China (2009) National Environmental Protection Standard. http://www.mee.gov.cn/gkml/hbb/bwj/201704/t20170414_411566.htm. Accessed 20 Dec 2017
  30. Mohseni S, Shahraki J (2013) Water resources optimal allocation with the use of the gray fuzzy programming (case study Yazd City). Int J Plant Prod 54(2):191–201Google Scholar
  31. National Bureau of Statistics of China (2013) China Environmental Statistics Yearbook 2013. China Statistics Press, Beijing, ChinaGoogle Scholar
  32. Nguyen-ky T, Mushtaq S, Loch A, Reardon-Smith K, An-Vo DA, Ngo-Cong D, Tran-Cong T (2018) Predicting water allocation trade prices using a hybrid artificial neural network-Bayesian modelling approach. J Hydrol 567:781–791CrossRefGoogle Scholar
  33. Shi J (2002) Rational development of water resources and protection of ecological environment in Guanzhong Area. The Yellow River. Water Conservancy Press, Beijing in Chinese Google Scholar
  34. Song JN, Yang W, Higano Y, Wang X’ (2015) Introducing renewable energy and industrial restructuring to reduce GHG emission: application of a dynamic simulation model. Energy Convers Manag 96:625–636CrossRefGoogle Scholar
  35. Tsuzuki Y (2014) Evaluation of the soft measures’ effects on ambient water quality improvement and household and industry economies. J Clean Prod 66:577–587CrossRefGoogle Scholar
  36. Wagner BJ (1995) Recent advances in simulation-optimization groundwater management modelling. Rev Geophys 33(S2):1021–1028CrossRefGoogle Scholar
  37. Wang L, Maclean HL, Adams BJ (2005) Water resources management in Beijing using economic input-output modeling. Can J Civ Eng 32(4):753–764CrossRefGoogle Scholar
  38. Xiang N, Sha JH, Yan JJ et al (2014) Dynamic modeling and simulation of water environment management with a focus on water recycling. Water 6(1):17–31CrossRefGoogle Scholar
  39. Xu JP, Ma N, Lv CW (2016) Dynamic equilibrium strategy for drought emergency temporary water transfer and allocation management. J Hydrol 539:700–722CrossRefGoogle Scholar
  40. Yan JJ, Sha JH, Chu X, Xu F, Higano Y (2014) Endogenous derivation of optimal environmental policies for proper treatment of stockbreeding wastes in the upstream region of the Miyun Reservoir, Beijing. Pap Reg Sci 93(2):477–500CrossRefGoogle Scholar
  41. Yang ZS (1994) Study on the population-supporting capacity of land resources in Dali City. J Yunnan Univ 16(1):40–47 in Chinese Google Scholar
  42. Yang W, Song JN, Higano Y, Tang J (2015) Exploration and assessment of optimal policy combination for total water pollution control with a dynamic simulation model. J Clean Prod 102:342–352CrossRefGoogle Scholar
  43. Zarghami M, Akbariyeh S (2012) System dynamics modeling for complex urban water systems: application to the city of Tabriz, Iran. Resour Conserv Recycl 60:99–106CrossRefGoogle Scholar
  44. Zhang GF, Sha JH, Wang TY et al (2013) Comprehensive evaluation of socio-economic and environmental impacts using membrane bioreactors for sewage treatment in Beijing. J Appl Microbiol 7:553–564Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Siyu Mou
    • 1
    • 2
    • 3
  • Jingjing Yan
    • 1
    • 2
    • 3
    Email author
  • Jinghua Sha
    • 1
    • 2
    • 3
  • Shule Li
    • 1
    • 2
    • 3
  • Yufang Ma
    • 1
    • 2
    • 3
  • Gengyu He
    • 1
    • 2
    • 3
  • Ci Song
    • 1
    • 2
    • 3
  1. 1.School of Economics and ManagementChina University of GeosciencesBeijingChina
  2. 2.Key Laboratory of Carrying Capacity Assessment for Resource and EnvironmentMinistry of Land and ResourceBeijingChina
  3. 3.Laboratory of Resources and Environmental ManagementChina University of GeosciencesBeijingChina

Personalised recommendations