Abstract
This study uses hierarchical cluster analysis (HCA) to screen the evaluation indexes and establishes a comprehensive evaluation index system for water resources carrying capacity (WRCC), based on the VIKOR method and the obstacle degree model for the identification of the main factors affecting the WRCC of Weifang City. The results show that the WRCC of Weifang City has steadily increased from 2008 to 2018. The subsystems referred to society and water environment are currently the main obstacles affecting Weifang’s WRCC, but there is still space for improvement in the future. The areas with low WRCC was Kuiwen District in 2018, which was in a seriously overloaded state, mostly affected by the water resources subsystem. The implementation of measures such as efficiently improving the level of water resources management and the development of water conservancy projects is prominent in water resource planning in Kuiwen District. This study analyzes the current situation of water resources management in order to consider it in strategic decision-making in promoting the improvement of WRCC, which in turn may ensure the realization of a green and sustainable development strategy in the future for Weifang City.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Aalianvari A, Katibeh H, Sharifzadeh M (2012) Application of fuzzy Delphi AHP method for the estimation and classification of Ghomrud tunnel from groundwater flow hazard. Arab J Geosci 5(2):275–284
Ait-Aoudia MN, Berezowska-Azzag E (2016) Water resources carrying capacity assessment: the case of Algeria’s capital city. Habitat Int 58:51–58
Alcamo, Joseph, Martina Flörke, and Michael Märker. Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol Sci J 52.2 (2007): 247-275.ger
Büyüközkan G, Görener A (2015) Evaluation of product development partners using an integrated AHP-VIKOR model. Kybernetes
Cao H et al (2015) Identification of dust storm source areas in West Asia using multiple environmental datasets. Sci Total Environ 502:224–235
Casabayó Bonàs Mònica (2005) Shopping behaviour forecasts: experiments based on a fuzzy learning technique in the Spanish food retailing industry. Diss. University of Edinburgh.
Chang C-L, Lin Y-T (2014) Using the VIKOR method to evaluate the design of a water quality monitoring network in a watershed. Int J Environ Sci Technol 11.2:303–310
Chen C-T (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114(1):1–9
Chen L, Wang Y-z (2003) Research on TOPSIS integrated evaluation and decision method based on entropy coefficient. Control Decis 18(4):456–459
Deng H, Yeh C-H, Willis RJ (2000) Inter-company comparison using modified TOPSIS with objective weights. Comput Oper Res 27(10):963–973
Diakoulaki D, Mavrotas G, Papayannakis L (1995) Determining objective weights in multiple criteria problems: the critic method. Comput Oper Res 22(7):763–770
Dou M et al (2015) Measurement and assessment of water resources carrying capacity in Henan Province, China. Water Sci Eng 8(2):102–113
Fei L, Deng Y, Yong H (2019) DS-VIKOR: A new multi-criteria decision-making method for supplier selection. Int J Fuzzy Syst 21(1):157–175
Feng L-H, Zhang X-C, Luo G-Y (2008) Application of system dynamics in analyzing the carrying capacity of water resources in Yiwu City, China. Math Comput Simul 79.3:269–278
Gao Y et al (2013) Study on water resources carrying capacity in Hefei City. Advanced Materials Research 610:2701–2704. Trans Tech Publications Ltd
Garg CP, Sharma A (2020) Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework. Environ Dev Sustain 22.2:1529–1557
Gorard S (2005) Revisiting a 90-year-old debate: the advantages of the mean deviation. Br J Educ Stud 53(4):417–430
Grzybowski AZ (2016) New results on inconsistency indices and their relationship with the quality of priority vector estimation. Expert Syst Appl 43:197–212
Ighravwe DE, Oke SA (2017) A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods. J Build Pathol Rehabil 2.1:9
Kaya T, Kahraman C (2011) Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach. Expert Syst Appl 38(6):7326–7333
Kim Y, Chung E-S (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):9419–9430
Lee, Gho B, Lee K (2013) Environmental sustainability assessment based on the concept of carbon carrying capacity. Appl Mech Mater 284:1511–1517. Trans Tech Publications Ltd
Liu, Xiao J, Wang J (2014) Evaluation of regional water resources carrying capacity in Yan’an based on principal component analysis. Adv Mater Res 864:2331–2334. Trans Tech Publications Ltd
Liu H-C et al (2015) A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Appl Soft Comput 28:579–588
Magri A, Berezowska-Azzag E (2019) New tool for assessing urban water carrying capacity (WCC) in the planning of development programs in the region of Oran, Algeria. Sustain Cities Soc 48:101316
Manly, Bryan FJ, Navarro Alberto JA (2016) Multivariate statistical methods: a primer. CRC press
Opricovic S (2007) A fuzzy compromise solution for multicriteria problems. Int J Uncertain Fuzziness Knowl-Based Syst 15(03):363–380
Opricovic S, Tzeng G-H (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445–455
Pacheco AGC, Krohling RA (2018) Ranking of classification algorithms in terms of mean–standard deviation using A-TOPSIS. Ann Data Sci 5.1:93–110
Peng T, Deng H (2020) Comprehensive evaluation on water resource carrying capacity based on DPESBR framework: a case study in Guiyang, southwest China. J Clean Prod 268:122235
Rasul G (2016) Managing the food, water, and energy nexus for achieving the sustainable development goals in South Asia. Environmental. Development 18:14–25
Ren C et al (2016) An innovative method for water resources carrying capacity research–metabolic theory of regional water resources. J Environ Manag 167:139–146
Riaz M, Tehrim ST (2021) A robust extension of VIKOR method for bipolar fuzzy sets using connection numbers of SPA theory based metric spaces. Artif Intell Rev 54.1:561–591
Roszkowska E (2011) Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data. Mult Criteria Decis Making/Univ Econ Katowice 6:200–230
Shekarian E (2015) A novel application of the VIKOR method for investigating the effect of education on housing choice. Int J Operational Res 24(2):161–183
Shi YF, Qu YG (1992) Carrying capacity of water resources in Urumqi River Basin and its rational utilization. Beijing: Science Press:128–139 (in Chinese)
Shi T et al (2015) Urban water resource utilization efficiency in China. Chin Geogr Sci 25(6):684–697
Song M, Wang R, Zeng X (2018) Water resources utilization efficiency and influence factors under environmental restrictions. J Clean Prod 184:611–621
Su D et al (2019) Development of a water cycle management approach to Sponge City construction in Xi’an, China. Sci Total Environ 685:490–496
Sun Y et al (2018) Evaluation of water resources carrying capacity based on improved TOPSIS method and diagnosis of obstacle factors in Yancheng City. China. Rural Water Hydropower 12:101–105 (in Chinese)
Walter A et al (2012) Water as an essential resource: orb web spiders cannot balance their water budget by prey alone. Ethology 118(6):534–542
Wang DX, Wang H, Ma J (2000) Water resources supporting capacity for regional development in China. J Hydraul Eng 11(11):21–26
Wang J-J et al (2009) Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renew Sust Energ Rev 13(9):2263–2278
Wang S et al (2013) Multi-scale analysis of the water resources carrying capacity of the Liaohe Basin based on ecological footprints. J Clean Prod 53:158–166
Wang G et al (2021) Development tendency analysis for thewater resource carrying capacity based on system dynamics model and the improved fuzzy comprehensive evaluation method in the Changchun city, China. Ecol Indic 122:107232
Wu L et al (2018a) Integrated modeling framework for evaluating and predicting the water resources carrying capacity in a continental river basin of Northwest China. J Clean Prod 204:366–379
Wu Y et al (2018b) Site selection decision framework using fuzzy ANP-VIKOR for large commercial rooftop PV system based on sustainability perspective. Sustain Cities Soc 40:454–470
Wu C et al (2020) Regional water resource carrying capacity evaluation based on multi-dimensional precondition cloud and risk matrix coupling model. Sci Total Environ 710:136324
Xu Y-J, Da Q-L (2010) Standard and mean deviation methods for linguistic group decision making and their applications. Expert Syst Appl 37(8):5905–5912
Yalcin N, Ünlü U (2018) A multi-criteria performance analysis of Initial Public Offering (IPO) firms using CRITIC and VIKOR methods. Technol Econ Dev Econ 24(2):534–560
Yang Z et al (2019) Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China. J Environ Manag 230:221–233
Yu P-L (1973) A class of solutions for group decision problems. Manag Sci 19(8):936–946
Zardari NH et al (2015) Weighting methods and their effects on multi-criteria decision making model outcomes in water resources management. Springer
Zeleny M (2014) Multiple Criteria Decision Making (MCDM). Wiley StatsRef: Statistics Reference Online
Zhang Y et al (2010) Evaluating Beijing’s human carrying capacity from the perspective of water resource constraints. J Environ Sci 22(8):1297–1304
Zhang Z et al (2014) Development tendency analysis and evaluation of the water ecological carrying capacity in the Siping area of Jilin Province in China based on system dynamics and analytic hierarchy process. Ecol Model 275:9–21
Zhang B et al (2017) Carrying capacity in a heterogeneous environment with habitat connectivity. Ecol Lett 20(9):1118–1128
Zhang J et al (2019) Quantitative evaluation and optimized utilization of water resources-water environment carrying capacity based on nature-based solutions. J Hydrol 568:96–107
Zhao Y, Wang Y, Wang Y (2020) Comprehensive evaluation and influencing factors of urban agglomeration water resources carrying capacity. J Clean Prod 288:125097
Zhu L et al (2019) Evaluation of water resources carrying capacity and its obstruction factor analysis: a case study of Hubei Province, China. Water 11(12):2573
Acknowledgements
The authors would like to thank China Academy of Urban Planning & Design and CAUPD Beijing Planning & Design Consultants Company for assistance in editing the article. The authors also would like to express appreciation to the anonymous reviewers and editors for their very helpful comments that improved the paper. This work was supported by the Fundamental Research Funds for Beijing University of Civil Engineering and Architecture (No. X20066).
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This work was supported by the Fundamental Research Funds for Beijing University of Civil Engineering and Architecture (No. X20066).
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Xiaobo Sun, Xiaowen Cheng, Guangqi Liu, and Guangyu Zhou. The first draft of the manuscript was written by Haiyan Yang and Yinan Tan. All authors commented on previous versions of the manuscript. All of the authors read and approved the final manuscript.
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Yang, H., Tan, Y., Sun, X. et al. Comprehensive evaluation of water resources carrying capacity and analysis of obstacle factors in Weifang City based on hierarchical cluster analysis-VIKOR method. Environ Sci Pollut Res 28, 50388–50404 (2021). https://doi.org/10.1007/s11356-021-14236-3
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DOI: https://doi.org/10.1007/s11356-021-14236-3