Modeling of villagers' behavior in the face of drought risk in Lake Urmia (Case study: villages in Bonab County)

Subject Areas : Environmental Risk Analysis

Alireza  Soleimani ¹ (Associate Professor, Department of Geography and Planning, Payame Noor University, Iran.)
Majid  Parishan ² (Assistant Professor, Department of Geography and Planning, Payame Noor University, Iran.)
Ali  Majnouni- Toutakhane ³ (PhD in Geography and rural Planning, Lecturer in the Department of Architectural Engineering, Bonab University, Bonab, Iran.* (Corresponding Author))

Received: 2018-05-06 Accepted : 2018-11-06 Published : 2021-09-23

Keywords: Drought, Rural communities, Emprical behavior, Lake Urmia, risk perception,

Abstract :

Background and Objective: Perception of risk leads to the regulation of practical behaviors to deal with it. The purpose of this study is to analyze the experimental behaviors of villagers in Bonab city to understand the risk of drought in Lake Urmia. For this purpose, a combination of individual and social approaches was used. Material and Methodology: The present study is descriptive-analytical. The statistical population of the study is residents over 15 years old in 29 villages of Bonab city, which is equal to 23653 people. Using Cochran's method and simple random method, 380 people were selected as the sample size. The tool used in this research is a questionnaire. Data were analyzed using SPSS software and multivariate regression tests, and path analysis. Findings: The results of path analysis on the dependent variable showed that drought-tolerant crop, knowledge and skills, income, age, length of stay, participation in training programs, and modernization of irrigation canals have a direct effect on practical behaviors to reduce drought risk. Also, the results of path analysis on the dependent variable of intention to perform risk reduction behaviors in the future, showed that the variables of cultivation of drought-tolerant crops, self-efficacy, age, level of education, trust, previous experience, and responsibility have a positive effect and optimistic bias variables, income, and age. The risk perception variable had a negative effect. Indirect effects through the two variables of believes and income also affect the variable of intention to reduce the risk of drought. Discussion and Conclusion: According to the research results, the perception of drought risk by the villagers, this understanding has not yet changed the behavior of the rural community in practice.  

References:

1. Afrakhteh, Hasan; Azizpour, Farhad; Tahmasebi, Asghar; Soleimani, Adel, "Rural Adaptation Strategies against Drought Risks (Case Study: Poshtang Village, Ravansar County)", Quarterly Journal of Environmental Risk Management, 2015, 2 (3), 354-341. (In Persian)


2. Khosravi, Qasem, "Vocabulary, Decoder of Environmental Risk Management". Quarterly Journal of Environmental Risk Management, 1396, 4 (4), 347-366. (In Persian)


3. Khorshid Doost, Mohammad Ali; Rasooli, Ali Akbar; Zanganeh, Saeed, "Modeling and Predicting Rainfall and Drought Trends in Northwestern Iran to Reduce Risks", Quarterly Journal of Environmental Risk Management, 2016, 3 (3), 252-233. (In Persian)


4. Rokneddin Eftekhari, Abdolreza, "The role of drought risk management in reducing socio-economic vulnerability of rural farmers (from the perspective of officials and experts) Case study: Soldoz village, West Azerbaijan", Rural Research Quarterly, 2014, 2 (1), p. 22-1. (In Persian)


5. Rokneddin Eftekhari, Abdul Reza; Mousavi, Seyed Mohammad; Poor Taheri, Mehdi; Farajzadeh Asl, Manouchehr, "Analysis of the role of subsistence diversity in the resilience of rural households in drought conditions Case study: Areas exposed to drought in Isfahan province", Quarterly Journal of Rural Research, 2014, 5 (3), 662-639. (In Persian)


6. Asgarizadeh, Zahra; Rafieian, Mojtaba; Dadashpour, Hashem, "Study and Analysis of the Experimental Model of Earthquake Risk Reduction Behaviors in Tehran". Journal of Geography and Environmental Hazards, 2016, 4 (15), 39-60. (In Persian)


7. Majnouni Toutakhane, Ali; Heidari Sarban, Vakil; Mofareh Bonab, Mojtaba, "Study of the effects of drought on Lake Urmia on changes in the resilience of rural settlements." Quarterly Journal of Rural Research and Planning, 1396, 4 (20), 89-67. (In Persian)


8. Heidari Sarban, Vakil; Majnouni Toutakhane, Ali, "The role of livelihood diversity in the resilience of rural households around Lake Urmia against drought." Quarterly Journal of Spatial Analysis of Environmental Hazards, 2016, 3 (4), 70-49. (In Persian)


9. Alberto, P. A. and A. C. Troutman, 2012, Applied behavior analysis for teachers, Pearson Higher Ed.


10. Chizari, M, 2013, “Assessment effective factor on kind of wheat farm management in grought situation for Varamin Province,” 3th conference of agricultural extension an education, Iran, 5(8), 107-118.


11. Goupee, A. J., et al, 2014, "Experimental comparison of three floating wind turbine concepts." Journal of Offshore Mechanics and Arctic Engineering, 136(1), 15-25


12. Maracchi, G, 2000, Agricultural drought—a practical approach to definition, assessment and mitigation strategies. Drought and drought mitigation in Europe, Springer, pp. 63-75.


13. Martin, I. M., Bender; H., Raish, C., 2007, what motivates individuals to protect themselves from risks? The case of wildland fires. Risk Analysis, Vol. 27, No. 4, pp. 887-900.


14. McFarlane, B.L, 2005, Public perceptions of risk to forest biodiversity. Risk Analysis, 23(3), pp. 543-553.


15. Sjöberg, L., 1999, Riak Perception by the public and by Experts: A Dilemma in Risk Management. Research in Human Ecology.


16. Slovic, P., 1993, Perceived risk, trust, and democracy. Risk Analysis, 13(4), pp.675-682.


17. Slovic, P., 2000, the perception of risk. London: Earthscan.


18. Whitmarsh, L, 2008, "Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response." Journal of Risk Research, 11(3), pp. 351-374.


19. Yan, J.-B., et al, 2015, "Experimental and analytical study on ultimate strength behavior of steel–concrete–steel sandwich composite beam structures." Materials and Structures, 48(5), pp. 1523-1544.