Document Type : Original Article

Authors

1 Phd Student of Environment Management, Enviro-Economy Islamic Azad University Science and Research Branch, Tehran, Iran

2 Environment and Natural Resources Faculty, Islamic Azad University, Tehran, Iran

3 Research Group of Environmental Assessment and Risks, Research Center of Environment and Sustainable Development (RCESD), Department of Environment, Tehran, Iran.

Abstract

Introduction: In recent years, the phenomenon of dust has become one of the most important environmental challenges around the world, which is one of its negative effects on the agricultural sector. Dust on agriculture can affect the growth and performance of plants by affecting the photosynthesis process and also by increasing the leaf temperature, and by providing favorable conditions for the occurrence of diseases and disrupting the population balance of pests against beneficial and predatory insects and Also, the effect of reducing the efficiency of spraying plants against pests and diseases creates the grounds for causing damage and reducing production in various agricultural and horticultural products. The purpose of this research is to estimate the willingness to pay to reduce the effects of dust on the agricultural sector of the centers of dust production and its surrounding areas in Alborz province.
Materials and Methods: In order to achieve the goal of this research, first, according to the map of dust centers prepared in Alborz province, the affected villages were determined. Ahmedabad areas are affected by dust. Then, using the Contingent valuation method (CVM), the willingness of people to pay to prevent and reduce the negative effects of the dust phenomenon on the agricultural sector was calculated using 400 questionnaires. It should be noted that the number of questionnaires was determined by using the Cochrane relationship and the population of the villages affected by dust.
Results: According to the results of this research, the correct percentage of the estimated willingness of farmers to pay in order to reduce dust damage is 73% in the derived model. Also, the amount of expected value (WTP) was calculated equal to 165423 rials (approximately equal to 5.5 dollars). According to the population of the affected area, the total value of preserving agricultural products against the phenomenon of dust is equal to 2743375032 rials ($9144.58) per year. The results showed that the variables of age, number of working people, education, income and environmental awareness index have a positive and significant effect on the willingness of farmers to pay to preserve agricultural products against dust. In other words, the increase in age, the number of working people in the family, the increase in the level of education, the increase in income and the increase in awareness of farmers increase their willingness to pay.
Discussion: The evaluation of the willingness to pay of farmers in Alborz province in order to reduce the dust damage on the agricultural sector showed that increasing awareness, education and experience (age) increases the willingness of farmers to pay dust control costs. Therefore, it can be said that in order to control and stabilize the sources of dust production in Alborz province, the knowledge and awareness of farmers regarding the negative effects of dust on the agricultural sector should be increased by using advertising training classes and so on. As a result, the willingness to pay farmers will increase. Then, in the form of non-governmental organizations or cooperative projects with the government, he designed and implemented programs to control and stabilize dust production sources with the participation of farmers.

Keywords

  1. Albugami, S., Palmer, S., Cinnamon, J. and Meersmans, J., 2019. Spatial and temporal variations in the incidence of dust storms in Saudi Arabia revealed from in situ observations. Geosciences, 9(4), 162
  2. Al-Hemoud, A., Al-Dousari, A., Misak, R., Al-Sudairawi, M., Naseeb, A., Al-Dashti, H. and Al-Dousari, N., 2019. Economic impact and risk assessment of sand and dust storms (SDS) on the oil and gas industry in Kuwait. Sustainability, 11(1), 200.
  3. Alizadeh‐Choobari, O., Ghafarian, P. and Owlad, E., 2016. Temporal variations in the frequency and concentration of dust events over Iran based on surface observations. International Journal of Climatology, 36(4), 2050-2062.‏
  4. Ardakani, A.F., 2016. Estimating willingness to pay in order to prevent external intangible effects of dust in Yazd-Ardakan plain. International journal of environmental science and technology, 13(6), 1489-1496.
  5. Ashrafi, K., Motlagh, M.S. and Neyestani, S.E., 2017. Dust storms modeling and their impacts on air quality and radiation budget over Iran using WRF-Chem. Air Quality, Atmosphere & Health, 10(9), 1059-1076.
  6. Bishop, R.C. and Heberlein, T.A., 1979. Measuring values of extramarket goods: Are indirect measures biased?. American journal of agricultural economics, 61(5), 926-930
  7. Chen, S., Huang, J., Qian, Y., Zhao, C., Kang, L., Yang, B., ... and Ma, X., 2017. An overview of mineral dust modeling over East Asia. Journal of Meteorological Research, 31(4), 633-653.
  8. Danesh Jafari, D., Amadeh, H., and Khonsiavashan, S., 2015. Estimated Damage Caused by the Phenomenon of Dust on People Health in Iran (Case Study Provinces of Khuzestan, Kermanshah and Kurdistan). Journal of Environmental Studies, 41(3), 573-587. doi: 10.22059/jes.2015.55898
  9. Darand, M. and Sohrabi, M.M., 2018. Identifying drought-and flood-prone areas based on significant changes in daily precipitation over Iran. Natural Hazards, 90(3), 1427-1446.
  10. Duffield, J.W. and Patterson, D.A., 1991. Inference and optimal design for a welfare measure in dichotomous choice contingent valuation. Land Economics, 67(2), 225-239.
  11. Ebrahimi Khusfi, Z., Roustaei, F., Ebrahimi Khusfi, M. and Naghavi, S., 2020. Investigation of the relationship between dust storm index, climatic parameters, and normalized difference vegetation index using the ridge regression method in arid regions of Central Iran. Arid land research and management, 34(3), 239-263.
  12. Ebrahimpour, M., Rahimi, J., Nikkhah, A. and Bazrafshan, J., 2015. Monitoring agricultural drought using the standardized effective precipitation index. Journal of Irrigation and Drainage Engineering, 141(1), 04014044.
  13. Eskandari, H., Noroozi, H., Naybandi atashi, M. R., Kalhori, S. and Rafiee, H., 2019. Estimating the Willingness to Pay for Air Quality Improvement with Emphasis on Agriculture and Natural Resources in Ahvaz County. Iranian Journal of Agricultural Economics and Development Research, 50(3), 451-465. doi: 10.22059/ijaedr.2018.252648.668567
  14. Fattahi Ardakani, A. and Torabi, F., 2014. Estimating willingness to pay for the prevention of regional (external) intangible effects of dust in the Yazd-Ardakan plain. 3rd National Conference on Wind Erosion and Dust Storms.
  15. Ghanavati, H., Fatahi Ardakani, A. and Neshat, A., 2018. Economic evaluation of environmental dust phenomenon damage (case of study: Ardakan city). Environmental Sciences, 16(1), 141-158.
  16. Guo, J. and Yin, Y., 2015. Mineral dust impacts on regional precipitation and summer circulation in East Asia using a regional coupled climate system model. Journal of Geophysical Research: Atmospheres, 120(19), 10-378.
  17. Heydari Alamdarloo, E., Khosravi, H., Nasabpour, S. and Gholami, A., 2020. Assessment of drought hazard, vulnerability and risk in Iran using GIS techniques. Journal of Arid Land, 12(6), 984-1000. ‏
  18. Heydari Alamdarloo, E., Moradi, E., Abdolshahnejad, M., Fatahi, Y., Khosravi, H. and da Silva, A.M., 2021. Analyzing WSTP trend: a new method for global warming assessment. Environmental monitoring and assessment, 193(12), 1-15.
  19. Hojan, M., Rurek, M., Więcław, M. and Krupa, A., 2019. Effects of extreme dust storm in agricultural areas (Poland, the Greater Lowland). Geosciences, 9(3), 106.
  20. Hojati, K., Abedi, Z., raigani, B. and panahi, M., 2022. Assessment of land sensitivity to determine areas dust sources (Case study: Alborz province). Journal of Environmental Science and Technology, 23(11), 151-164. doi: 10.30495/jest.2021.55807.5184
  21. Howarth, B.R. and Farber, S., 2002. Accounting for the value of ecosystem services. Ecological Economics.
  22. Huang, J., Wang, T., Wang, W., Li, Z. and Yan, H., 2014. Climate effects of dust aerosols over East Asian arid and semiarid regions. Journal of Geophysical Research: Atmospheres, 119(19), 11-398.‏
  23. Islamic Republic News Agency (IRNA) .2019. https://irna.ir/xjsts2
  24. Jebali, A., Zare, M., Ekhtesasi, M.R. and Jafari, R., 2021. Detection of areas prone to wind erosion and air pollution using DSI and PDSI indices. Natural Hazards, 1-15.
  25. Ji, S., Choi, Y., Lee, C.K. and Mjelde, J.W., 2018. Comparing willingness-to-pay between residents and non-residents using a contingent valuation method: case of the Grand Canal in China. Asia Pacific Journal of Tourism Research, 23(1), 79-91.
  26. Jin, M., Juan, Y., Choi, Y. and Lee, C.K., 2019. Estimating the preservation value of world heritage site using contingent valuation method: The case of the Li River, China. Sustainability, 11(4), 1100
  27. Keikha, A., Pourmardan, V. and Janparvar, H., 2022. Economic Valuation of Walnut Dust Damage on the Agricultural Sector: A review. Sustainable Agricultural Research, 1(4), 92-107. doi: 10.30495/sarj.2022.1947334.1056
  28. Kim, H.M., Kim, I.G., Lim, B. and Yoo, S.H., 2021. Estimating the Economic Value of Improving the Asian Dust Aerosol Model in the Korean Household Sector: A Choice Experiment. Sustainability, 13(21), 12054.
  29. Komleh, S.P., Keyhani, A., Rafiee, S.H. and Sefeedpary, P., 2011. Energy use and economic analysis of corn silage production under three cultivated area levels in Tehran province of Iran. Energy, 36(5), 3335-3341.
  30. Lee, C.K. and Han, S.Y., 2002. Estimating the use and preservation values of national parks’ tourism resources using a contingent valuation method. Tourism management, 23(5), 531-540.
  31. Maghsood, F.F., Moradi, H., Berndtsson, R., Panahi, M., Daneshi, A., Hashemi, H. and Bavani, A.R.M., 2019. Social acceptability of flood management strategies under climate change using contingent valuation method (CVM). Sustainability, 11(18), 5053.
  32. Manesh, M.B., Khosravi, H., Alamdarloo, E.H., Alekasir, M.S., Gholami, A. and Singh, V.P., 2019. Linkage of agricultural drought with meteorological drought in different climates of Iran. Theoretical and Applied Climatology, 138(1), 1025-1033.
  33. Middleton, N. and Kang, U., 2017. Sand and dust storms: impact mitigation. Sustainability 9, 1053.
  34. Monjezi, N. and Roknedineftekhari, A., 2021. Evaluation of Economic Losses of Dust phenomenon on Agricultural Sector (Case Study: Masjed Soleiman County, Khuzestan Province). Journal of Natural Environmental Hazards, 10(27), 145-158. doi: 10.22111/jneh.2020.33163.1631
  35. Rayegani, B., Barati Ghahfarokhi, S. and Khoshnava, A., 2019. Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach. Journal of Range and Watershed Managment, 72(1), 83-105. doi: 10.22059/jrwm.2019.251015.1223
  36. Rayegani, B., Barati, S., Goshtasb, H., Gachpaz, S., Ramezani, J. and Sarkheil, H., 2020. Sand and dust storm sources identification: A remote sensing approach. Ecological Indicators, 112, 106099
  37. Sarmadian, F. and Taghi Zadeh Mehrjerdi, R., 2010. A comparison of interpolation methods for preparing soil quality maps: case study: (Agricultural faculty experimental field). Iranian journal of soil and water research, 40(2).
  38. Shao, Y., 2008. Physics and modelling of wind erosion (Vol. 37). Springer Science & Business Media.
  39. Shao, Y., Klose, M. and Wyrwoll, K.H. 2013. Recent global dust trend and connections to climate forcing. Journal of Geophysical Research: Atmospheres, 118(19), 11-107.‏
  40. Stefanski, R. and Sivakumar, M.V.K., 2009. Impacts of sand and dust storms on agriculture and potential agricultural applications of a SDSWS. In IOP Conference Series: Earth and Environmental Science (Vol. 7, No. 1, p. 012016). IOP Publishing.
  41. Tussupova, K., Berndtsson, R., Bramryd, T. and Beisenova, R., 2015. Investigating willingness to pay to improve water supply services: application of contingent valuation method. Water, 7(6), 3024-3039.
  42. Venkatachalam, L., 2003. The contingent valuation method: a review. Environmental Impact Assessment Review, 24:89-124.
  43. Zhang, L., Fukuda, H. and Liu, Z., 2019. Public willingness to pay for sand and dust weather mitigation: A case study in Beijing, China. Journal of cleaner production, 217, 639-645.
  44. Zhang, L., Li, Q.B., Gu, Y., Liou, K.N. and Meland, B., 2013. Dust vertical profile impact on global radiative forcing estimation using a coupled chemical-transport-radiative-transfer model. Atmospheric Chemistry & Physics, 13(14).