Abstract
The ice disaster risk in Ning-Meng reach of Yellow River in China is affected by many factors, and the various risk factors are not independent with each other but present complicated causal relationships. Identifying key ice disaster risk factors and analyzing the inner dependencies between factors are conducive to the successful implementation of ice disaster risk management. This paper concludes ice disaster risk factors through the current literature and the formation mechanism of ice disaster. The grey rough DEMATEL method is proposed to evaluate the interactions between risk factors, and it integrates the strength of grey number in characterizing decision maker’s subjective information and the merit of rough logic in excavating and utilizing potential group decision information. The results show that the obtained visualized structural model can reveal the complex causal interactions between ice disaster risk factors effectively and determine the importance of risk factors. The study enhances ice disaster risk identification and provides a better reference for ice disaster prevention and management.
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References
Bai C, Sarkis J (2013) A grey-based DEMATEL model for evaluating business process management critical success factors. Int J Prod Econ 146:281–292
Bai T, Chang JX, Chang FJ, Huang Q, Wang YM, Chen GS (2015) Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin. J Hydrol 523:758–767
Bai C, Dhavale D, Sarkis J (2016) Complex investment decisions using rough set and fuzzy c-means: an example of investment in green supply chains. Eur J Oper Res 248:507–521
Celik E (2017) A cause and effect relationship model for location of temporary shelters in disaster operations management. Int J Disaster Risk Reduct 22:257–268
Chang JX, Meng XJ, Wang ZZ, Wang XB, Huang Q (2014) Optimized cascade reservoir operation considering ice flood control and power generation. J Hydrol 519:1042–1051
Chang JX, Wang XB, Li YY, Wang YM (2016) Ice regime variation impacted by reservoir operation in the Ning-Meng reach of the Yellow River. Nat Hazards 80:1015–1030
Deng JL (1989) Introduction grey system theory. J Grey Syst 1:191–243
Du YH, Hao ZC, Li WL, Ju Q, Lu CY, Chang JJ (2014) Analysis of change and influence factor of ice regime character in Yellow River source area. J Water Res Water Eng 25:32–36 (in Chinese)
Du HQ, Dou ST, Deng XH, Xue X, Tao W (2016) Assessment of wind and water erosion risk in the watershed of the Ningxia-Inner Mongolia Reach of the Yellow River, China. Ecol Ind 67:117–131
Fang YP, Zhao C, Ding YJ, Qin DH, Huang JL (2016) Impacts of snow disaster on meat production and adaptation: an empirical analysis in the yellow river source region. Sustain Sci 11:249–260
Fu C, Popescu I, Wang C, Myneyy AE, Zhang F (2014) Challenges in modelling river flow and ice regime on the Ningxia-Inner Mongolia reach of the Yellow River, China. Hydrol Earth Syst Sci 18:1225–1237
He HM, Tian YQ, Mu XM, Zhou J, Li ZB, Cheng N, Zhang Q, Keo S, Oeurng C (2015) Confluent flow impacts of flood extremes in the middle Yellow River. Quat Int 380–381:382–390
Jiang Y, Dong W, Yang S, Ma J (2008) Long-term changes in ice phenology of the Yellow river in the past decades. J Clim 21:4879–4886
Kong G, Bai T, Chang JX, Wu CG, Liu DF (2015) Flow routing during ice control period. Water Resour 42:627–634
Li WQ, Wu CG, Wang YM, Huang Q, Yang YY (2013) Study on optimal allocation scheme for ice control capacity of Liujiaxia reservoir based on risk analysis. J Hydroelectr Eng 32:76–82 (in Chinese)
Liu JF, Yang J, Huo SQ, Rao SQ (2012) Analysis on some new ice characteristics in Ningxia Inner Mongolia reach of the Yellow River. Yellow River 34:12–14 (in Chinese)
Liu JF, Wang QC, Zhao N, Zhao L (2014) Characteristic of winter discharge and its responses to climate change and human activities at Toudaoguai section of the Yellow River. J Glaciol Geocryol 36:424–429 (in Chinese)
Liu SF, Yang YJ, Jeffrey F (2017) Grey data analysis. Springer, Singapore
Luo D (2014) Risk evaluation of ice-jam disasters using gray systems theory: the case of Ningxia-Inner Mongolia reaches of the Yellow River. Nat Hazards 71:1419–1431
Luo D, Mao WX, Sun HF (2017) Risk assessment and analysis of ice disaster in Ning-Meng reach of Yellow River based on a two-phased intelligent model under grey information environment. Nat Hazards 88:591–610
Mao WX, Luo D, Sun HF (2017) A multi-scale extended grey target decision method that considers value distribution information of grey numbers. Grey Syst Theory Appl 7:97–110
Morin S, Boucher E, Buffin-Belanger T (2015) The spatial variability of ice-jam bank morphologies along the Mistassini River (Quebec, Canada): an indicator of the ice-jam regime? Nat Hazards 77:1–22
Pawlak Z (1982) Rough sets. Int J Parallel Prog 11:341–356
Shen HT, Gao L, Kolerski T, Liu LW (2008) Dynamics of ice jam formation and release. J Coast Res 24:25–32
Shieh JI, Wu HH, Huang KK (2010) A DEMATEL method in identifying key success factors of hospital service quality. Knowl Based Syst 23:277–282
Song W, Xu Z, Liu HC (2017) Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: an integrated approach. Renew Sustain Energy Rev 79:1461–1471
Su T, Huang HQ, Zhou YY (2016) Effect of hydrological processes, water temperature and river channel geometry changes on ice floods in the Ningxia- Inner Mongolia Reach of the Yellow River. Resour Sci 38:948–955 (in Chinese)
Sun HF, Dang YG, Mao WX (2018) A decision-making method with grey multi-source heterogeneous data and its application in green supplier selection. Int J Environ Res Public Health 15:446
Tseng ML (2009) A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Syst Appl 36:7738–7748
Wang FQ (2014) Study on ice formation cause and forecast methods in Ning-Meng reach of Yellow River. Press of China water conservancy and hydropower, Beijing (in Chinese)
Wang X (2017) Approach for multiple attribute decision-making with interval grey number based on Choquet integral. J Intell Fuzzy Syst 32:4205–4211
Wang T, Yang K, Guo Y (2008) Application of Artificial Neural Networks to Forecasting Ice Conditions of the Yellow River in the Inner Mongolia Reach. J Hydrol Eng 13:811–816
Wang WH, Tian YH, Zhu QH, Zhong YG (2017) Barriers for household e-waste collection in China: perspectives from formal collecting enterprises in Liaoning Province. J Clean Prod 153:299–308
Wu CG, Wei YM, Jin JL, Huang Q, Zhou YL, Liu L (2015) Comprehensive evaluation of ice disaster risk of the Ningxia-Inner Mongolia Reach in the upper Yellow River. Nat Hazards 75:179–197
Xia XQ, Govindan K, Zhu QH (2015) Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. J Clean Prod 87:811–825
Yao Z, Xiao J, Ta W, Jia X (2013) Planform channel dynamics along the Ningxia-Inner Mongolia reaches of the Yellow River from 1958 to 2008: analysis using Landsat images and topographic maps. Environ Earth Sci 70:97–106
Yuan XM, Feng GN, Tian FC, Xue WY (2015) Variation laws of ice regime and intelligent coupling forecast model in the Inner Mongolia reach of the Yellow River. South-to-North Water Transf Water Sci Technol 13:163–167 (in Chinese)
Zhai LY, Khoo LP, Zhong ZW (2008) A rough set enhanced fuzzy approach to quality function deployment. Int J Adv Manuf Technol 37:613–624
Zhai LY, Khoo LP, Zhong ZW (2009) Design concept evaluation in product development using rough sets and grey relation analysis. Expert Syst Appl 36:7072–7079
Zhang J, Li DL, Li L, Deng WT (2013) Decadal variability of droughts and floods in the Yellow River basin during the last five centuries and relations with the North Atlantic SST. Int J Climatol 33:3217–3228
Zhang FX, Xi GY, Zhang XL, Wang GQ, Huang R (2015) Simulation of channel-storage increment process in ice flood period. Adv Water Sci 26:201–211 (in Chinese)
Acknowledgements
This paper is supported by National Natural Science Foundation of China (No. 71271086), Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_0127), China Scholarship Council. The authors are grateful to the editors and anonymous reviewers for their helpful comments and suggestions on the paper.
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Mao, W., Wang, W., Luo, D. et al. Analyzing interactions between risk factors for ice disaster in Ning-Meng reach of Yellow River based on grey rough DEMATEL method. Nat Hazards 97, 1025–1049 (2019). https://doi.org/10.1007/s11069-019-03684-3
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DOI: https://doi.org/10.1007/s11069-019-03684-3