Vulnerability Assessment of Rural Households to floods (Villages of Afrineh Watershed, Lorestan Province)

Document Type : Research Paper

Authors

Department of Rural Development, Faculty of Agricultural, Lorestan University, Khorram abad, Iran.

Abstract

Lorestan province is one of the 5 flood-prone provinces in terms of weather conditions and high average rainfall. During floods, many economic and social damages are inflicted on individuals and their livelihoods. Estimating post-flood vulnerability is always one of the challenges of crisis and risk management. Therefore, the purpose of this study is to assess the vulnerability of farmers to floods. The statistical population of this study is 3843 households who are living along the Afrineh river basin in Poledokhtar Township. The sample size was determined to be 350 according to Cochran's formula and the participants were selected through a simple random sampling method. An Index-based method was used to assess vulnerability. The vulnerability was measured based on three components of exposure, sensitivity and, adaptive capacity. Cluster analysis and one-way ANOVA were used to grouping and identify the factors affecting the vulnerability. The results showed that most rural households are in the middle class based on vulnerability to floods. The results of the analysis of variance showed that flood duration index in exposure dimension, financial and, livelihood indicators in sensitivity dimension and social capital and human capital indicators in adaptation dimension had a significant effect on the vulnerability of rural households. Therefore, diversifying products and sources of income and encouraging villagers to participate in rural organizations and, creating incentives for participation and cooperation among farmers can play a constructive role in reducing the effects of flood risk.

Keywords


Extended Abstract

Objectives

Iran is always subject to natural disasters such as landslides, earthquakes, droughts and floods. Floods are the most frequent type of natural disaster, which according to the UNDP, floods with earthquakes and droughts have the highest rank in terms of financial and human damages (Beheshtirad et al., 2009). During floods, many economic and social damages are inflicted on individuals and their livelihoods. Floods have adverse effects on human health, food security, economic activity, physical infrastructure, natural resources, and the environment. For this reason, reducing the damage caused by floods has always been a concern of human societies. Lorestan province is one of the 5 flood-prone provinces in terms of location in the Middle Zagros, mountainous topography, expansion of impermeable geological formations, climatic conditions and high average rainfall. The frequency of floods in recent decades in some parts of Lorestan province has caused most areas of the province to be exposed to periodic and devastating floods and the loss of life and property of floods has increased significantly. The escalation of flood damage has led to the long-standing desire for a definitive solution to the flood and runoff problem to be replaced by realism and understanding of the fact that flood control cannot always be successful; but, efforts should be made to reduce its destructive and harmful consequences. Thereforethe present study seeks to answer the question of what economic, social, human, infrastructural, financial and livelihood damages do rural households face in a flood situation?

 

Methods

In the present study, descriptive-survey research method was used. The statistical population of this study is 3843 households who are living along the Afrineh river basin in Poledokhtar Township. The sample size was determined to be 350 according to Cochran's formula and the participants were selected through simple random sampling method.  A researcher-made questionnaire was used to collect data. An Index-based method was used to assess vulnerability. Vulnerability was measured based on three components of exposure, sensitivity and adaptive capacity. Indicators were determined through previous studies, focus group meetings with experts and farmers. A questionnaire was prepared for weighting the indicators by the three groups of specialists, including professors of the Faculty of Agriculture, members of engineering consulting firms and experts of the agricultural jihad. In order to calculate the severity of vulnerability, it is necessary to express the dimensions of exposure, sensitivity and adaptive capacity for each sub-index in the range 0 to 1. The total vulnerability was then calculated using the formula. Cluster analysis was used to group the respondents according to the level of vulnerability. Based on this, the respondents were classified into three groups with low, medium and high vulnerability. In the next step, one-way ANOVA was used to identify the indicators affecting the vulnerability of rural households.

 

Results

The results showed that 41.28% of households were in the high vulnerability category, 48.21% of the households were in the medium vulnerability category and 10.51% of the households were in the low vulnerable category. In other words, most households were in the middle category in terms of vulnerability. One Way ANOVA was used to identify the indicators affecting the level of vulnerability among rural households. Three clusters created from cluster analysis (low, medium and high vulnerability) were considered as dependent variables and sub-indices of the three dimensions of vulnerability (exposure, sensitivity, compatibility) were also considered as independent variables in analysis of variance. The results of analysis of variance showed that flood duration index in exposure dimension, financial and livelihood indicators in sensitivity dimension and social capital and human capital indicators in adaptation dimension had significant effect on the vulnerability of rural households.

 

Discussion

The results of analysis of variance showed that the flood duration index in the exposure dimension had significant effect on the vulnerability of rural households to floods; the longer the flood, more land around the river have been flooded and the damage it is wider. Increasing the duration of a flood means increasing the length of time that a farmer's property and assets are at risk. In the livelihood index, there is a sub-index of the income earned from the agricultural sector, which affected the vulnerability of households to floods. This finding is consistent with the results of studies by Williams et al. (2019), Abdul Razak & Kruse (2017) and Brosch & Sander, 2015). The economy of rural households is significantly dependent on the agricultural sector, and as reported by Davies et al. (2009), rural people who depend on agriculture for their livelihood are more affected by stresses and shocks (such as floods and droughts). The results also showed that the social capital index in the dimension of adaptation had a significant effect on the vulnerability of rural households to floods. The results of studies by Aldrich et al. (Aldrich et al., 2016), Fernandez et al. (Fernandez et al., 2016), Petzold (Petzold, 2016), Jordan (2015, Jordan) and Edger (Adger, 2001) confirm this finding. They believe that adaptability is a dynamic social process and adaptability ability of communities is partly determined by the ability to act collectively. Social capital provides information about trustworthiness, facilitates collective action, and connects individuals to external sources in times of disaster and crisis.

Abdul-Razak, M., & Kruse, S. (2017). The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana. Climate Risk Management, 17, 104-122.
Adeloye, A., Mwale, F. D., & Dulanya, Z. (2015). A metric-based assessment of flood risk and vulnerability of rural communities in the Lower Shire Valley, Malawi. Proceedings of the International Association of Hydrological Sciences, 370, 139.
Adger, W. N. (2001). Social capital and climate change. Working Paper 8, Tyndall Centre for Climate Change Research, University of East Anglia, Norwich.
Adger, W. N. (2006). Vulnerability. Global environmental change, 16(3), 268-281.
Ahmadi, S., Ghanbari Movahed, R., Gholamrezaie, S., & Rahimian, M. (2022). Assessing the Vulnerability of Rural Households to Floods at Pol-e Dokhtar Region in Iran. Sustainability, 14(2), 762.
Alcamo, J. (2008). Special issue on" Quantifying vulnerability to drought from different disciplinary perspectives". Regional Environmental Change, 8(4), 135.
Aldrich, D. P., Page-Tan, C. M., & Paul, C. J. (2016). Social capital and climate change adaptation. In Oxford Research Encyclopedia of Climate Science.
Antwi, E. K., Boakye-Danquah, J., Owusu, A. B., Loh, S. K., Mensah, R., Boafo, Y. A., & Apronti, P. T. (2015). Community vulnerability assessment index for flood prone savannah agro-ecological zone: A case study of Wa West District, Ghana. Weather and Climate Extremes, 10, 56-69.
Arias, J. K., Dorado, R., Mendoza, M. E., Ballaran Jr, V., & Maligaya, H. (2016). Vulnerability assessment to climate change of households from Mabacan, Sta. Cruz and Balanac Watersheds in Laguna, Philippines. Journal of Environmental Science and Management, 19(1).
Azizpour, F., Hamidi, M.S., Chabok. J. (2016). The Role of Local Participation in Flood Risks Management in Rural Areas Case study: Villages in the Bashar River Basin in Boyer Ahmad City. Journal of Spatial Analysis Environmental hazarts. 2 (4) :77-94
Beheshtiirad, M., Feiznia, S., Salajegheh, A., & Ahmadi, H. (2009). Investigating Applicability of certainty factor landslide hazard zonation model (a case study Moalemkalayeh watershed.
Birkmann, J. (2006). Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions. Measuring vulnerability to natural hazards: Towards disaster resilient societies, 1, 9-54.
Blistanova, M., Zeleňáková, M., Blistan, P., & Ferencz, V. (2016). Assessment of flood vulnerability in Bodva river basin, Slovakia. Acta Montanistica Slovaca, 21(1).
Brosch, T., & Sander, D. (2015). Handbook of value: perspectives from economics, neuroscience, philosophy, psychology and sociology. Oxford University Press.
Davies, M., Guenther, B., Leavy, J., Mitchell, T., & Tanner, T. (2009). Climate change adaptation, disaster risk reduction and social protection: complementary roles in agriculture and rural growth? IDS Working Papers, 2009(320), 01-37.
de Brito, M. M., Evers, M., & Höllermann, B. (2017). Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: a case study in Taquari-Antas basin, Brazil. International journal of disaster risk reduction, 24, 119-128.
Deressa, T. T. (2010). Assessment of the vulnerability of Ethiopian agriculture to climate change and farmers’ adaptation strategies (Doctoral dissertation, University of Pretoria).
Ellis, F., & Allison, E. (2004). Livelihood diversification and natural resource access. Overseas Development Group, University of East Anglia.
Ellis, F., & Freeman, H. A. (2004). Rural livelihoods and poverty reduction strategies in four African countries. Journal of development studies, 40(4), 1-30.
Eriksen, S. H., & Kelly, P. M. (2007). Developing credible vulnerability indicators for climate adaptation policy assessment. Mitigation and adaptation strategies for global change, 12(4), 495-524.
Etemadi, H. (2015). Investigate the economic and social issues of floods in order to manage it. 1th scientific congress on the development and promotion of agricultural sciences, natural resources and environment in Iran, https://civilica.com/doc/521694/.
Eze, J. N., Vogel, C., & Ibrahim, P. A. (2018). Assessment of Social Vulnerability of Households to Floods in Niger State, Nigeria.
Fahad, S., & Wang, J. (2018). Farmers’ risk perception, vulnerability, and adaptation to climate change in rural Pakistan. Land use policy, 79, 301-309.
Fernandez, P., Mourato, S., & Moreira, M. (2016). Social vulnerability assessment of flood risk using GIS-based multicriteria decision analysis. A case study of Vila Nova de Gaia (Portugal). Geomatics, Natural Hazards and Risk, 7(4), 1367-1389.
Field, C. B., Barros, V., Stocker, T. F., & Dahe, Q. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press.
Füssel, H.-M., & Klein, R. J. (2006). Climate change vulnerability assessments: an evolution of conceptual thinking. Climatic change, 75(3), 301-329.
Geravandhi, S., Alibaygi, A. (2011). Determining the effective factors on the use of production risk management strategies by corn farmers in Kermanshah, Journal of Rural Research, 1(2), 117-136.
Golamzadeh, M., Morid, S., Delavar, M. (2014). rought early warning system based on the risks and uncertainties in operation of Zayandeh-Rud dam with solutions of water deficit reduction, Iranian Water Resources Research, 9(1), 75-89.
Haghiabi, A.M., & Emamgholizadeh, S. (2015). Prediction of bank erosion in Kashkan river meanders. Geography and Development, 13 (40): 125-137.
Hamidi, M. S., & Chabok, J. (2016). The Role of Local Participation in Flood Risks Management in Rural Areas Case study: Villages in the Bashar River Basin in Boyer Ahmad City. Journal of Spatial Analysis Environmental hazarts, 2(4), 77-94. (In Farsi)
Harvey, C. A., Rakotobe, Z. L., Rao, N. S., Dave, R., Razafimahatratra, H., Rabarijohn, R. H., Rajaofara, H., & MacKinnon, J. L. (2014). Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1639), 20130089.
Hejazizadeh, Z., Alijani, B., Saigheh, M., Danaeefard, H., & Ahmadi, I. (2015). A new climate vunerability index: sistan and Baluchistan province. researches in Geographical Sciences, 15 (36):73-96. (In Farsi)
Hinkel, J. (2011). “Indicators of vulnerability and adaptive capacity”: towards a clarification of the science–policy interface. Global environmental change, 21(1), 198-208.
Jamshidi, O., Asadi, A., Kalantari, K., Azadi, H., & Scheffran, J. (2019). Vulnerability to climate change of smallholder farmers in the Hamadan province, Iran. Climate Risk Management, 23, 146-159.
Jordan, J. C. (2015). Swimming alone? The role of social capital in enhancing local resilience to climate stress: a case study from Bangladesh. Climate and Development, 7(2), 110-123.
Kalantari, K. (2014). Quantitative models in planning (regional, urban, and rural), Tehran, Iran: Saba Cultural Press. (In Farsi)
Karagiorgos, K., Thaler, T., Maris, F., Fuchs, S. (2016). Assessing flash flood vulnerability using a multi-vulnerability approach, 3rd European Conference on Flood Risk Management, E3S Web of Conferences e3sconf/201, 08004 (2016).
Keshavarz, M., Maleksaeidi, H., & Karami, E. (2017). Livelihood vulnerability to drought: A case of rural Iran. International journal of disaster risk reduction, 21, 223-230.
Mendoza, M. E., Naret, H., Ballaran Jr, V., & Arias, J. K. (2014). Assessing vulnerability to climate change impacts in Cambodia, the Philippines and Vietnam: An analysis at the commune and household level. Journal of Environmental Science and Management, 17(2).
Moazezi Zadeh Tehrani, M. R. (2014). Vulnerability measures for flood and drought and the application in hydrometric network design (Master's thesis, University of Waterloo).
Mohammadkhani, M., Jamali, S. (2015). Assessing Iran's vulnerability to climate change. Journal of Iranian Dam and Hydropower, 4, 54-65.
Mohammadzadeh, M., Mehrnia, A., Jobeh, S., Kurd, H. (2012). Typology of natural hazards in rural areas, National Conference on Rural Development (2012), https://civilica.com/doc/270238/.(In Farsi)
Mohmmed, A., Li, J., Elaru, J., Elbashier, M. M., Keesstra, S., Artemi, C., Martin, K., Reuben, M., & Teffera, Z. (2018). Assessing drought vulnerability and adaptation among farmers in Gadaref region, Eastern Sudan. Land use policy, 70, 402-413.
Mohmmed, A., Li, J., Elaru, J., Elbashier, M. M., Keesstra, S., Artemi, C., ... & Teffera, Z. (2018). Assessing drought vulnerability and adaptation among farmers in Gadaref region, Eastern Sudan. Land use policy, 70, 402-413.
Nasiri, H., Yusof, M. J. M., & Ali, T. A. M. (2016). An overview to flood vulnerability assessment methods. Sustainable Water Resources Management, 2(3), 331-336. (In Farsi)
Nouruzi, K. K., Omidvar, B., Malek, M. B., & Ganjehi, S. (2013). Multi-hazards risk analysis of damage in urban residential areas (Case study:  Earthquake and flood hazards in Tehran-Iran). Geography and environmental hazards, 7, 53-68. (In Farsi)
Owusu, A. B., Jakpa, J. T., & Awere, K. G. (2016). Smallholder farmers' vulnerability to floods in the Tolon District, Ghana. Interdisciplinary Environmental Review, 17(3-4), 286-311.
Paavola, J. (2008). Livelihoods, vulnerability and adaptation to climate change in Morogoro, Tanzania. Environmental Science & Policy, 11(7), 642-654.
Panda, A. (2017). Vulnerability to climate variability and drought among small and marginal farmers: a case study in Odisha, India. Climate and Development. 9, 605–617.
Panthi, J., Aryal, S., Dahal, P., Bhandari, P., Krakauer, N. Y., & Pandey, V. P. (2016). Livelihood vulnerability approach to assessing climate change impacts on mixed agro-livestock smallholders around the Gandaki River Basin in Nepal. Regional Environmental Change, 16(4), 1121-1132.
Parry, M., Parry, M. L., Canziani, O., Palutikof, J., Van der Linden, P., & Hanson, C. (Eds.). (2007). Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC (Vol. 4). Cambridge University Press.
Petzold, J. (2016). Limitations and opportunities of social capital for adaptation to climate change: a case study on the I sles of S cilly. The Geographical Journal, 182(2), 123-134.
Pham, N. T. T., Nong, D., Sathyan, A. R., & Garschagen, M. (2020). Vulnerability assessment of households to flash floods and landslides in the poor upland regions of Vietnam. Climate Risk Management, 28, 100215.
Ponsian, N., Chrispina, K., Tago, G., & Mkiibi, H. (2014). The effect of working capital management on profitability. International Journal of Economics, Finance and Management Sciences, 2(6), 347-355.
Pravalie, R., & Costache, R. (2014). Assessment of socioeconomic vulnerability to floods in the Bâsca Chiojdului catchment area. Romanian Review of Regional Studies, 10(2).
Report of Lorestan Agricultural Jihad Organization. (2018). Flood Damages. Lorestan.
Rezaei, R., Dorini, R. (2017). Identifying and Analyzing the Factors Affecting Vulnerability of Rural Housing (The Case of Hokerd Village, Jiroft County), Iranian Journal of Agricultural Economics and Development Research, 48 (3): 443-451. (In Farsi)
Rezai mogahdam, M., Anderyani, S., Almaspour, F., Valizadeh, k., Mokhtari, A. (2015). Investigation Effects of Landuse and Land Cover Changes on Flooding and Runoff Disc Harge (Case Study: Alavyan Dam Basin). Hydrogeomorphology, 1(1), 41-57. (In Farsi)
Romiani, S., Gholamrezai, S., Rahimian, M., Arefnezhad, M. (2020). Analyzing the Agricultural Drought Risk Management Solutions in Lorestan Province; Using Fuzzy Delphi Technique, Iranian Journal of Agricultural Economics and Development Research, 51 (1): 65-79. (In Farsi)
Rufat, S., Tate, E., Burton, C. G., & Maroof, A. S. (2015). Social vulnerability to floods: Review of case studies and implications for measurement. International journal of disaster risk reduction, 14, 470-486.
Safari, A., Sasanpour, F., Mosavand, J. (2011). Vulnerability assessment of urban areas against flood risk using GIS and fuzzy logic. Applied research in geographical sciences, 11(20), 129-150. (In Farsi)
Saptutyningsih, E., Diswandi, D., & Jaung, W. (2020). Does social capital matter in climate change adaptation? A lesson from agricultural sector in Yogyakarta, Indonesia. Land use policy, 95, 104189.
Sharafi, L., & Zarafshani, K. (2011). Economic and social vulnerability assessment among farmers towards drought (case study: wheat farmers Kermanshah, Sahne, And Ravansar township). Rural Research, 1(4):129-154. (In Farsi).
Sharafi, L., Zarafshani, K., Keshavarz, M., Azadi, H., & Van Passel, S. (2020). Drought risk assessment: Towards drought early warning system and sustainable environment in western Iran. Ecological Indicators, 114, 106276.
Sharifi, Z., Nooripour, M., Sharifzadeh, M. (2017). Analysis ofrural housholds' vulnerability in the central district of Dena county: the application of sustainable livelihoods framework. Journal of spatial analysis environmental hazards, 4(2), 19-36. (In Farsi)
Smit, B., & Wandel, J. (2006). Adaptation, adaptive capacity and vulnerability. Global environmental change, 16(3), 282-292.
Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., Kasperson, J. X., Luers, A., & Martello, M. L. (2003). A framework for vulnerability analysis in sustainability science. Proceedings of the national academy of sciences, 100(14), 8074-8079.
Williams, P. A., Crespo, O., & Abu, M. (2019). Adapting to changing climate through improving adaptive capacity at the local level–The case of smallholder horticultural producers in Ghana. Climate Risk Management, 23, 124-135.
Yazdanpanah, M., Forozani, M., Zobeidi, T. (2017). Determining the Factors Influencing on Farmers’ Adaptation Behaviors in Dealing with Climate Change and Global Warming: A Case Study in Bavi Township, Khuzestan, Iranian Journal of Agricultural Economics and Development Research, 48 (1): 137-147. (In Farsi)
Zarafshani, K., Maleki, T., & Keshavarz, M. (2020). Assessing the vulnerability of farm families towards drought in Kermanshah province, Iran. GeoJournal, 85(3), 823-836.
Zarafshani, K., Sharafi, L., Azadi, H., Hosseininia, G., De Maeyer, P., & Witlox, F. (2012). Drought vulnerability assessment: The case of wheat farmers in Western Iran. Global and Planetary Change, 98, 122-130.