Abstract
Conflict-resolution methods have been applied to water resources management to balance conflicting interests of stakeholders. Due to the climate change impacts on hydrologic processes, the strategy selections of conflict-resolution methods can be influenced, resulting in different selection rules for historical and future periods. This study aims to quantify the impacts of climate change on the strategy-selection rules of the conflict-resolution methods for better long-term strategic decision-making. The methodology of this study consists of climatic, hydrological, environmental and multi-objective optimization models, two fuzzy social choice methods (FSCMs) and four game-theoretical bargaining methods (GTBMs). The hydro-environmental conflict-resolution management in the Yangtze River of China is selected as the case study. The results show that the strategy selection of GTBMs is more stable and results in a better balance between hydropower and environmental objectives, compared to that of FSCMs. Moreover, considering climate change, under the appropriate environmental flow pattern, the stabilities of the strategy selections of FSCMs and GTBMs are slightly influenced, and the average satisfied degrees of both objectives obtained by FSCMs and GTBMs in the future period (2021-2080) are lower than those in the base period (1950-2012). The findings from this study provide guidance for hydro-environmental conflict-resolution management from a sustainable development perspective.
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References
Alcázar J, Palau A (2010) Establishing environmental flow regimes in a Mediterranean watershed based on a regional classification. J Hydrol 388(1):41–51
Alizadeh MR, Nikoo MR, Rakhshandehroo GR (2017a) Developing a multi-objective conflict-resolution model for optimal groundwater management based on fallback bargaining models and social choice rules: a case study. Water Resour Manag 31(5):1457–1472
Alizadeh MR, Nikoo MR, Rakhshandehroo GR (2017b) Hydro-environmental management of groundwater resources: a fuzzy-based multi-objective compromise approach. J Hydrol 551:540–554
Arrow KJ (1952) Social choice and individual values. J Polit Econ 60(5):422–432
Borda JCD (1781) Memoire sur les elections au Scrutin. Histoire de I’Academie Royale des Sciences, Paris
Brams SJ, Fishburn PC (1978) Approval voting. Am Polit Sci Rev 72(3):831–847
Brams SJ, Kilgour DM (2001) Fallback bargaining. Group Decis Negot 10(4):287–316
Cai W, Zhang L, Zhu X et al (2013) Optimized reservoir operation to balance human and environmental requirements: a case study for the Three Gorges and Gezhouba dams, Yangtze River basin, China. Ecol Inform 18(9):40–48
Camici S, Brocca L, Melone F et al (2013) Impact of climate change on flood frequency using different climate models and downscaling approaches. J Hydrol Eng 19(8):04014002
Carraro C, Sgobbi A (2008) Modelling negotiated decision making in environmental and natural resource management: a multilateral, multiple issues, non-cooperative bargaining model with uncertainty. Automatica 44(6):1488–1503
Deb K, Pratap A, Agarwal S et al (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Fraser NM, Hauge JW (1998) Multicriteria approval: application of approval voting concepts to MCDM problems. J Multi-Criteria Decis Anal 7(5):263–273
Fu X, Li AQ, Wang H (2014) Allocation of flood control capacity for a multireservoir system located at the Yangtze River basin. Water Resour Manag 28(13):4823–4834
García-Lapresta JL, Martínez-Panero M (2002) Borda count versus, approval voting: a fuzzy approach. Public Choice 112(1-2):167–184
Ghodsi SH, Kerachian R, Estalaki SM et al (2016a) Developing a stochastic conflict resolution model for urban runoff quality management: application of info-gap and bargaining theories. J Hydrol 533:200–212
Ghodsi SH, Kerachian R, Zahmatkesh Z (2016b) A multi-stakeholder framework for urban runoff quality management: application of social choice and bargaining techniques. Sci Total Environ 550:574–585
Hao Y, Jiang Z, Li L et al (2016) Biases and improvements in an ensemble of dynamical downscaling climate simulations over China. Clim Dyn 47(9-10):1–17
Hu M, Hua Q, Zhou H et al (2015) The effect of dams on the larval abundance and composition of four carp species in key river systems in China. Environ Biol Fish 98(4):1201–1205
Kangas A , Laukkanen S , Kangas J (2006) Social choice theory and its applications in sustainable forest management—a review. For Policy Econ 9(1):77-92.
Kacprzyk J, Zadrożny S, Fedrizzi M et al (2008) On group decision making, consensus reaching, voting and voting paradoxes under fuzzy preferences and a fuzzy majority: a survey and some perspectives. In: Studies in fuzziness and soft computing. Springer Berlin 220, pp 263–295
Kerachian R, Fallahnia M, Bazargan-Lari MR et al (2010) A fuzzy game theoretic approach for groundwater resources management: application of Rubinstein bargaining theory. Resour Conserv Recycl 54(10):673–682
Li S, Xiong L, Dong L et al (2013) Effects of the Three Gorges reservoir on the hydrological droughts at the downstream Yichang station during 2003–2011. Hydrol Process 27(26):3981–3993
Madani K, Read L, Shalikarian L (2014) Voting under uncertainty: a stochastic framework for analyzing group decision making problems. Water Resour Manag 28(7):1839–1856
Nash J (1953) Two person cooperative games. Econometrica 21(1):128–140
Nurmi H (1981) Approaches to collective decision making with fuzzy preference relations. Fuzzy Sets Syst 6(3):249–259
Palau A, Alcázar J (2012) The basic flow method for incorporating flow variability in environmental flows. River Res Appl 28(1):93–102
Raei E, Nikoo MR, Pourshahabi S (2017) A multi-objective simulation-optimization model for in-situ bioremediation of groundwater contamination: application of bargaining theory. J Hydrol 551:407–422
Rubinstein A (1982) Perfect equilibrium in a bargain model. Econometrica 50(1):91-109
Sangelantoni L, Russo A, Gennaretti F (2018) Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy. Theor Appl Climatol 5:1–16
Shirangi E, Kerachian R, Bajestan MS (2008) A simplified model for reservoir operation considering the water quality issues: application of the Young conflict resolution theory. Environ Monit Assess 146:77–89
Wang XM, Zhou JZ, Ouyang S et al (2013) TGC eco-friendly generation multi-objective optimal dispatch model and its solution algorithm. J Hydraul Eng 44(2):154–163 (in Chinese)
Wu T et al (2010) The Beijing climate center atmospheric general circulation model: description and its performance for the present-day climate. Clim Dyn 1(123):34
Xin X, Zhang L, Zhang J et al (2013) Climate change projections over East Asia with BCC_CSM1.1, climate model under RCP scenarios. J Meteorol Soc Jpn 91(4):413–429
Xiong L, Guo S (1999) A two-parameter monthly water balance model and its application. J Hydrol 216(1–2):111–123
Xu Y, Fu X, Qin J (2018) Qualifying coordination mechanism for cascade-reservoir operation with a new game-theoretical methodology. Water 10(12):1857
Yang G, Guo S, Li L et al (2016) Multi-objective operating rules for Danjiangkou reservoir under climate change. Water Resour Manag 30(3):1183–1202
Yi YJ, Wang ZY, Yang ZF (2010) Impact of the Gezhouba and Three Gorges Dams on habitat suitability of carps in the Yangtze River. J Hydrol 387(3–4):283–291
Young HP (1993) An evolutionary model of bargaining. J Econ Theory 59(1):145–168
Zarghami M (2011) Soft computing of the Borda count by fuzzy linguistic quantifiers. Appl Soft Comput 11(1):1067–1073
Zhang G, Wu L, Li H et al (2012) Preliminary evidence of delayed spawning and suppressed larval growth and condition of the major carps in the Yangtze River below the Three Gorges Dam. Environ Biol Fish 93(3):439–447
Zhou Y, Guo S, Chang FJ et al (2018) Methodology that improves water utilization and hydropower generation without increasing flood risk in mega cascade reservoirs. Energy 143:785–796
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This study was supported by the National Key Research and Development Program (No. 2016YFC0401306) and National Natural Science Foundation of China (No. 91647204).
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Xu, Y., Fu, X. & Chu, X. Analyzing the Impacts of Climate Change on Hydro-Environmental Conflict-Resolution Management. Water Resour Manage 33, 1591–1607 (2019). https://doi.org/10.1007/s11269-019-2186-7
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DOI: https://doi.org/10.1007/s11269-019-2186-7