Prioritizing Different Methods for Participation and Education of People to Predict and Warning Flood in Iran

Document Type : Applied Article

Authors

1 Professor, Faculty of Environment, College of Engineering, University of Tehran

2 Associate Professor, Faculty of Environment, College of Engineering, University of Tehran

3 Ph.D. Candidate in Industrial Engineering, Islamic Azad University, Science And Research Branch

4 Ph.D. Student in Environmental Planning, University of Tehran

Abstract

Flood is considered as one of the most destructive natural hazards in the world that results in a lot of costs, especially in developed countries. Therefore, dealing with this hazard and its risk, two kinds of essential actions should be applied, including structural and non-structural methods. Forecasting and flood warning techniques are effective non-structural methods that developing them is related to different methods of people participating and their educating.  In this paper, these methods are prioritized based on their effects on the development of forecasting and flood warning in Iran. First, alternatives (methods of people participating and their educating) and criteria are determined. Afterwards, experts’ opinions about the situation of each alternative to each criterion are collected and an appropriate decision making method is applied to rank the alternatives. Finally, the method of holding meeting with people in flood plains is ranked as the first alternative. Creating observation markers from previous occurred floods is selected as the second alternative. Visiting plants and industrial sectors in flood plains and giving necessary warnings to industrial owners, installing signs to show flood potential on the public building, paper publication in newspapers, presenting flood instructions in the form of manual, brochures, etc., trial maneuvers, face-to-face interaction, methods for distributing flood information through manuals, brochures, etc., as well as awareness advertisements on the radio, and interviewing with flood managers are ranked third, fourth, fifth, sixth, seventh, eighth, ninth, and tenth, respectively.
Introduction
In this paper, different methods about participating and educating people are ranked based on their effects on flood forecasting and its warning. Managers, usually, consider different criteria in the process of their decision-making. Therefore, they should apply methods known as multi-criteria decision-making (MCDM) methods [1]. These methods are applied to identify and evaluate alternative and rank them. In this paper, an appropriate MCDM method is used to prioritize different methods of participating and educating people. Method with the least negative impact on the development of forecasting and flood warning system is selected as the best alternative [2].
Materials and methods
In this research, flood occurring in Iran, from 1989 to 2018, and 1959 to 1988 are studied by a statistical survey. Afterwards, flood statistics are compared in these two periods [3]. Considering the necessity of implementing suitable flood forecasting and warning systems, these different methods should be prioritized for the development of these systems. In this paper, a suitable MCDM approach (Shannon entropy and TOPSIS) are applied to rank these alternatives [4].
Discuss and Results
After confirming the validity and reliability of the questionnaire by 15 experts, from statistical population of water resource engineers, agricultural engineers, natural resources engineers, natural disasters engineers, urban engineers and urban planners, and geomorphologists, a valid and reliable decision matrix is distributed among experts to determine the status of each alternative relative to each criterion. Afterwards, an appropriate MCDM method based on Shannon entropy and TOPSIS is applied to prioritize alternatives. Finally, the method of holding meeting with people in flood plains is ranked as the first alternative. Creating observation markers from previous occurred floods is selected as the second alternative. Visiting plants and industrial sectors in flood plains and giving necessary warnings to industrial owners, installing signs to show flood potential on the public building, paper publication in newspapers, presenting flood instructions in the form of manual, brochures, etc., trial maneuvers, face-to-face interaction, methods for distributing flood information through manuals, brochures, etc., as well as awareness advertisements on the radio, and interviewing with flood managers are ranked third, fourth, fifth, sixth, seventh, eighth, ninth, and tenth, respectively.
Conclusion
Flood is known as one of the most destructive natural hazards in the world. Therefore, it is necessary to take appropriate actions against the flood, including structural and non-structural methods. Non-structural methods are more economical and environmental friendly. Forecasting and flood warning techniques as non-structural methods should be developed in Iran that is related to people participating and their training. Therefore, prioritizing these methods based on their effects on the development of flood forecasting and flood warning in Iran. Ranking these methods is done by appropriate MCDM method based on Shannon entropy, and TOPSIS. By applying this method, the method of holding meeting with people in flood plains is ranked as the first alternative. Creating observation markers from previous occurred floods is selected as the second alternative. Visiting plants and industrial sectors in flood plains and giving necessary warnings to industrial owners, installing signs to show flood potential on the public building, paper publication in newspapers, presenting flood instructions in the form of manual, brochures, etc., trial maneuvers, face-to-face interaction, methods for distributing flood information through manuals, brochures, etc., as well as awareness advertisements on the radio, and interviewing with flood managers are ranked third, fourth, fifth, sixth, seventh, eighth, ninth, and tenth, respectively.

Keywords


[1].       قهرودی تالی، منیژه؛ مجیدی هروی، آنیتا؛ و عبدلی، اسماعیل (1395). «آسیب‌پذیری ناشی از سیلاب شهری (مطالعۀ موردی: تهران، درکه تا کن) «، جغرافیا و مخاطرات طبیعی، جلد 5، ش 17، ص 36-21.
[2].              نظام‌نامۀ مدیریت سیلاب در وزارت نیرو (1395).
[3]. Arnell, Nigel W.; & Gosling, Simon N. (2016). “The impacts of climate change on river flood risk at the global scale”, Climatic Change, 134(3), pp: 387-401.
[4]. Chen, Chen-Tung (2000). “Extensions of the TOPSIS for group decision-making under fuzzy environment”, Fuzzy sets and systems, 114(1), pp: 1-9.
[5]. Chuansheng Xie; Dapeng Dong; Shengping Hua; Xin Xu; & Yingjie Chen (2012). “Safety evaluation of smart grid based on AHP-entropy method”, Systems Engineering Procedia, 4(2), pp: 203-209.
[6]. Fu, Guangtao (2008). “A fuzzy optimization method for multicriteria decision making: An application to reservoir flood control operation”, Expert Systems with Applications, 34(1), pp: 145-149.
[7]. Lawshe, C.H. (1975). “A quantitative approach to content validity 1”, Personnel psychology, 28(4), pp: 63-75.
[8]. Mileti, Denis S. (1995), “Factors related to flood warning response”, in: US-Italy Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods, pp: 1-17.
[9]. Mohit, Mohammad Abdul; & Sellu, Gajikoh Mohamed. (2017). “Development of Non-structural Flood Mitigation Policies and Measures for Pekan town, Malaysia”, Asian Journal of Behavioural Studies, 2(6), pp: 9-20.
[10].            Orozco, Michael M.; & Caballero, Jonathan M. (2018). Smart disaster prediction application using flood risk analytics towards sustainable climate action, In MATEC Web of Conferences (Vol. 189, p. 10006). EDP Sciences.
[11].            Özcan, Evren Can; Ünlüsoy, Sultan; & Eren, Tamer (2017). “A combined goal programming–AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants”, Renewable and Sustainable Energy Reviews, 78(4), pp: 10-23.
[12].            Parker, Dennis J.; & Handmer John W. (1998). “The role of unofficial flood warning systems”, Journal of contingencies and crisis management, 6(1), pp: 45-60.
[13].            Plate, Erich J. (2002‌). “Flood risk and flood management”, Journal of Hydrology, 267(1-2), pp:­2-11.
[14].            Walesh, Stuart G. (1989). “Urban surface water management”, John Wiley & Sons, 2(3), pp: 18-30.
[15].            Wang, Endong; Alp, Neslihan; Shi, Jonathan; Wang, Chao; Zhang, Xiaodong; & Chen, Hong (2017). “Multi-criteria building energy performance benchmarking through variable clustering based compromise TOPSIS with objective entropy weighting”, Energy, 125(1), pp: 197-210.
[16].            Windarto, J. (2010). “Flood early warning system develop at garang river Semarang using information technology base on SMS and Web”, International Journal Of Geomatics And Geosciences, 1(1), pp: 14-28.
[17].            EM-DAT CR. The international disaster database.
[18].            Yadav, Shiv Prasad; Kumar, Surendra; & Kavita (2009). “A multi-criteria interval-valued intuitionistic fuzzy group decision making for supplier selection with TOPSIS method”, In International workshop on rough sets, fuzzy sets, data mining, and granular-soft computing . Springer, Berlin, Heidelberg, pp: 303-312.
[19].            Yuan, Wenlin; Liu, Meiqi; & Wan, Fang (2019). Study on the impact of rainfall pattern in small watersheds on rainfall warning index of flash flood event. Natural Hazards97(2), pp:665-682.
[20].            Yue, Zhongliang (2011). “A method for group decision-making based on determining weights of decision makers using TOPSIS”, Applied Mathematical Modelling, 35(4), pp: 1926-36.
[21].            Zschau, Jochen; & Küppers, Andreas (Eds) (2013). Early warning systems for natural disaster reduction, Springer Science & Business Media.