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Assessment for river health based on variable fuzzy set theory

  • Water Quality and Protection: Environmental Aspects
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Abstract

With the rapid socio-economic development, a series of functional decline of river system has emerged, such as water pollution, environmental degradation and river shrinkage. The health of ecological river and its comprehensive management has become a hot topic in many countries and regions. Based on the combined influence of various factors, the multiple index system of river health assessment in the upstream of Hun River is established by Driving Forces-Pressure-State-Impact-Responses Model, the evaluation of river health is calculated by the Variable Fuzzy Assessment. The result shows that the river health assessment value is 2.944, which belongs to the weak state of sub health. And given this existence of the research section is located in the upstream of Hun River, carrying a remarkable ecological service potential. Therefore, it is of significant importance to protect, improve and repair the river ecological environment.

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References

  1. Norris, R.H. and Thoms, M.C., What is river health?, Freshwater Biology, 1999, vol. 41, pp. 197–209.

    Article  Google Scholar 

  2. Boulton, A.J., An overview of river health assessment: philosophies, practice, problems and prognosis, Freshwater Biology, 1999, vol. 41, pp. 469–479.

    Article  Google Scholar 

  3. Karr, J.R., Fausch, K.D., et al., Assessing biological integrity in running water: a method and its rationale, in Illinois Natural History Survey, Champaign, IL, Special Publication 5, 1986.

    Google Scholar 

  4. Karr, J.R., Defining and measuring river health, Freshwater Biology, 1999, vol. 41, pp. 221–234.

    Article  Google Scholar 

  5. Lorenz, C.M., Van Dijk, G.M., et al., Concepts in river ecology: implications for indicator development, Regulated Rivers: Research and Management, 1997, vol. 13, no. 6, pp. 501–516.

    Article  Google Scholar 

  6. Mooney, C. and Farrier, D., A micro case study of the legal and administrative arrangements for river health in the Kangaroo River (NSW), Water Science and Technology, 2002, vol. 45, no. 11, pp. 161–168.

    Google Scholar 

  7. Thorp, J.H., Thoms, M.C., and Delong, M.D., The riverine ecosystem synthesis: biocomplexity in river networks across space and time, River Research and Application, 2006, vol. 22, no. 2, pp. 123–147.

    Article  Google Scholar 

  8. Young, R.G., Matthaei, C.D., and Townsend, C.R., Organic matter breakdown and ecosystem metabolism: functional indicators for assessing river ecosystem health, J. North American Benthological Society, 2008, vol. 27, no. 3, pp. 605–625.

    Article  Google Scholar 

  9. Cary, J. and Pisarski, A., Social benchmarking to improve river ecosystems, Water Science and Technology, 2011, vol. 64, no. 5, pp. 1148–1153.

    Article  Google Scholar 

  10. Zhao, Y.W. and Yang, Z.F., Integrative fuzzy hierarchical model for river health assessment: A case study of Yong River in Ningbo City, China, Communications in Nonlinear Science and Numerical Simulation, 2009, vol. 14, pp. 1729–1736.

    Article  Google Scholar 

  11. Ness, B., Anderberg, S., and Olsson, L., Structuring problems in sustainability science: the multi-level DPSIR framework, Geoforum, 2010, vol. 41, pp. 479–488.

    Article  Google Scholar 

  12. Chen, S.Y. and Hu, J.M., Variable fuzzy assessment method and its application in assessing water resources carrying capacity (in Chinese), J. Hydraulic Engineering, 2006, vol. 37, no. 3, pp. 264–271.

    Google Scholar 

  13. Chen, S.Y., Theory and Model of Variable Fuzzy Sets and Its Application (in Chinese), Dalian University of Technology Press, 2009.

    Google Scholar 

  14. Jia, Q., Qiu, L., Duan, C.Q., and Chen X.N., Application of assessment model based on variable fuzzy set in water resources carrying capacity in Taohe River basin, Intern. Conf. Intelligent Computation Technology and Automation, 2010, pp. 730–732.

    Google Scholar 

  15. Geng, L.H., Liu, H., Zhong, H. P., and Liu, C.S., Indicators and criteria for evaluation of healthy rivers (in Chinese), J. Hydraulic Engineering, 2006, vol. 37, no. 3, pp. 253–258.

    Google Scholar 

  16. Liu, C.M. and Liu, X.Y., Healthy river and its indication, criteria and standards, J. Geographical Sciences, 2009, vol. 19, pp. 3–11.

    Article  Google Scholar 

  17. Lü, S.B., Xu, S.G, Ma, T., and Guo C.L., Application of variable fuzzy recognition model in comprehensive benefit evaluation of floodwater utilization, in Seventh Intern. Conf. Fuzzy Systems and Knowledge Discovery, 2010, pp. 836–840.

    Google Scholar 

  18. Chen, S.Y. and Fu, G.T. Combining fuzzy iteration model with dynamic programming to solve multi objective multistage decision making problems, Fuzzy Sets and Systems, 2005, vol. 152, pp. 499–512.

    Article  Google Scholar 

  19. Hu, X.X., Yang, X.H., Li, J.Q., and Geng, L.H., Set pair analysis model for river health system assessment (in Chinese), Systems Engineering—Theory and Practice, 2008, no. 5, pp. 164–170.

    Google Scholar 

  20. Shen, Y.P., Case study on assessment of urban river ecosystem health, Meteorological and Environmental Sciences, 2008, vol. 31, no. 2, pp. 13–16.

    Google Scholar 

  21. Schofield, N.J. and Davies, P.E., Measuring the health of our rivers, Water, 1996, May/June, pp. 39–43.

    Google Scholar 

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Correspondence to Yuyu Liu.

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Xu, S., Liu, Y. Assessment for river health based on variable fuzzy set theory. Water Resour 41, 218–224 (2014). https://doi.org/10.1134/S0097807814020134

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  • DOI: https://doi.org/10.1134/S0097807814020134

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