
تعداد نشریات | 21 |
تعداد شمارهها | 314 |
تعداد مقالات | 3,321 |
تعداد مشاهده مقاله | 3,546,631 |
تعداد دریافت فایل اصل مقاله | 2,591,253 |
A biophysical Approach to Assess the Risks Associated with Climate Change for Spatial Analysis of Agricultural Drought Vulnerability | ||
مجله پژوهش های خشکسالی و تغییراقلیم | ||
دوره 2، شماره 2 - شماره پیاپی 6، شهریور 1403، صفحه 27-56 اصل مقاله (3.3 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22077/jdcr.2023.6479.1027 | ||
نویسندگان | ||
محمدرضا فرزانه* 1؛ معصومه فخری2؛ ایمان فاضلی فارسانی3؛ مریم نجفی بیراگانی4؛ محمد عبدالحسینی5 | ||
1گروه پژوهشی مهندسی محیط زیست و پایش آلودگی، مرکز تحقیقات محیط زیست و توسعه پایدار، سازمان حفاظت محیط زیست، تهران، ایران. | ||
2عضو کارشناس موسسه تحقیقات برنامهریزی کشاورزی، اقتصاد و توسعه روستایی (APERDRI)، وزارت کشاورزی، تهران، ایران | ||
3گروه مهندسی خاک، دانشگاه شهرکرد، شهرکرد، ایران. | ||
4گروه مهندسی آب، دانشگاه اراک، اراک، ایران. | ||
5گروه مهندسی آب، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران. | ||
چکیده | ||
Global warming has led to changes in climate variability and different characteristic of consequence extreme events. Recently, the study of compound extremes, defined as the co-occurrence of multiple events with extreme impacts, has attracted much attention because of their detrimental impacts on society and ecosystems. In countries like Iran with arid and semi-arid climate patterns, the inter-annual climate variability causes severe influences on agriculture through compound dry and hot extremes. Such impacts are expected to increase due to climatic changes. Decreasing water availability as a consequence will impose a direct impact on agriculture and could endanger the socio-economic development and social sustainability in these regions. Assessment of the vulnerability to climate change and its resulted-in agricultural drought is fundamental for effective adaptation strategies in the future. This paper is presenting a spatial GIS-based assessment method for agricultural drought vulnerability in current and future climatic conditions in Isfahan province, Iran by constructing agricultural drought vulnerability maps. This assessment was conducted by evaluation of changes in the severity, duration, and frequency of compound dry and hot extremes. The results expressed the spatio-temporal variability of the empirical probability of drought occurrence, and indicated the relation between the vulnerability of agricultural drought and the characteristics of drought occurrence. The results of vulnerability assessment can be used to prioritize the counties for implementation of long-term drought management plans and effective countermeasures, as well as to contribute to sustainable agricultural development. | ||
کلیدواژهها | ||
Spatial analysis؛ Agricultural drought؛ Vulnerability؛ Isfahan؛ Iran | ||
مراجع | ||
Añel, J. A., Fernández-González, M., Labandeira, X., López-Otero, X., & Dela Torre, L. (2017). Impact of cold waves and heat waves on the energy production sector. Atmosphere, 8(11), 209. https:// doi.org/10.3390/atmos8110209 Calvo, C. (2008). Vulnerability to multidimensional poverty: Peru, 1998–2002. World Development, 36(6), 1011-1020. https://doi.org/10.1016/j. worlddev.2007.10.001 Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L. (2022). Extreme weather impacts of climate change: an attribution perspective. Environmental Research: Climate, 1(1), 012001. https://doi.org/10.1088/2752-5295/ac6e7d Cred and UNDRR (2020). Human Cost of Disasters. An Overview of the last 20 years: 2000–2019. CRED, UNDRR, Geneva. Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2012). Social vulnerability to environmental hazards. In Hazards vulnerability and environmental justice (pp. 143-160). Routledge. https://doi. org/10.1111/1540-6237.8402002 Deryng, D., Conway, D., Ramankutty, N., Price, J., & Warren, R. (2014). Global crop yield response to extreme heat stress under multiple climate change futures. Environmental Research Letters, 9(3), 034011. https://doi.org/ 10.1088/1748-9326/9/3/034011 Dosio, A., Mentaschi, L., Fischer, E. M., & Wyser, K. (2018). Extreme heat waves under 1.5 C and 2 C global warming. Environmental research letters, 13(5), 054006. https://doi.org/10.1088/1748-9326/aab827 Ekrami, M., Mahdavi Najaf Abadi, R., Rezai, M., Vagharfard, H., & Barkhordari, J. (2021). Spatial Analysis and Assessment of Agricultural Drought Vulnerability in Arid Regions (Case Study: Pishkouh Watershed, Yazd Province). Watershed Engineering and Management, 13(1), 197-212. https://doi.org/10.22092/ijwmse.2020.341878.1772 Fakhri, M., Dokohaki, H., Eslamian, S., Fazeli Farsani, I., & Farzaneh, M. R. (2014). Flow and sediment transport modeling in rivers. Handbook of Engineering Hydrology, 2, 233-275. https://doi. org/10.1201/b16683-14 Fakhri, M., Farzaneh, M. R., Eslamian, S., & Khordadi, M. J. (2013). Confdence interval assessment to estimate dry and wet spells under climate change in Shahrekord Station, Iran. Journal of Hydrologic Engineering, 18(7), 911-918. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000688 Fakhar, M. S., & Nazari, B. (2024). Multitemporal Analysis of Drought in Iran: Monitoring and Evaluation of Spatial and Temporal Characteristics Using MODIS Indices. Journal of Drought and Climate change Research, 2(1), 39-58. doi: 10.22077/jdcr.2024.7011.1050 Farzaneh, M., Bani mostafa arab, F., & Hussein Hamarashid, S. (2024). Preservation and Restoration of the Hamon Wetland is a Common Solution for Iran and Afghanistan in the Field of Facing the Phenomenon of Climate Change. Journal of Drought and Climate change Research, 2(1), 15-38. doi: 10.22077/jdcr.2023.6658.1037 Farzaneh, M., & Bani mostafa arab, F. (2023a). Analysis of Climate Change Adaptation Laws in Developed Countries. Journal of Drought and Climate change Research, 1(1), 49-70. doi: 10.22077/ jdcr.2023.6024.1009 Farz Farzaneh, M., & Banimostafaarab, F. (2023b). Analysis of climate change adaptation laws in developing countries. Climate Change Research, 4(13), 35-54. doi: 10.30488/ccr.2023.394431.1128 Fazeli Farsani, I., Farzaneh, M. R., Besalatpour, A. A., Salehi, M. H., & Faramarzi, M. (2019). Assessment of the impact of climate change on spatiotemporal variability of blue and green water resources under CMIP3 and CMIP5 models in a highly mountainous watershed. Theoretical and Applied Climatology, 136, 169-184. https://doi. org/10.1007/s00704-018-2474-9 Hamzeh, A., Farzaneh, M., Khordadi, M. J., & Banimostafaarab, F. (2024). The non-structural strategy of insurance in developed countries to adapt to climate change. Journal of Climate Research, 1402(54), 179-199. Hamzeh, A., Farzaneh, M., Khordadi, M. J., & Banimostafa Arab, F. (2023). Challenges of Developing Countries to Exploitation Non-structured Insurance Strategy to Climate Change Adaptation. Journal of Climate Research, 1401(52), 169-182. Hao, Z., Hao, F., Singh, V. P., & Zhang, X. (2018). Changes in the severity of compound drought and hot extremes over global land areas. Environmental Research Letters, 13(12), 124022. https:// doi.org/ 10.1088/1748-9326/aaee96 Hao, Z., Hao, F., Xia, Y., Feng, S., Sun, C., Zhang, X., ... & Meng, Y. (2022). Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts. Earth-Science Reviews, 104241. https://doi.org/10.1016/j. earscirev.2022.104241 Hosseini Seddigh, S. M., & Jalali, M. (2024). Analysis of Iran’s Drought Changes with Palmer’s Self-Adjustment Index. Journal of Drought and Climate change Research, 2(1), 93-106. doi: 10.22077/jdcr.2024.6149.1016 Jayanthi, H., Husak, G. J., Funk, C., Magadzire, T., Chavula, A., & Verdin, J. P. (2013). Modeling rain-fed maize vulnerability to droughts using the standardized precipitation index from satellite esimated rainfall—Southern Malawi case sudy. International Journal of Disaster Risk Reduction, 4, 71-81. https://doi. org/10.1016/j.ijdrr.2013.02.001 McKee, T. B., Doesken, N. J., & Kleist, J. (1993). Analysis of Standardized Precipitation Index (SPI) data for drought assessment. Water, 26(2), 1-72. Luers, A. L., Lobell, D. B., Sklar, L. S., Addams, C. L., & Matson, P. A. (2003). A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico. Global Environmental Change, 13(4), 255-267. https://doi.org/10.1016/S0959-3780(03)00054-2 Murthy, C. S., Laxman, B., & Sai, M. S. (2015). Geospatial analysis of agricultural drought vulnerability using a composite index based on exposure, sensitivity and adaptive capacity. International journal of disaster risk reduction, 12, 163-171. https://doi.org/10.1016/j. ijdrr.2015.01.004 Metzger, M. J., Leemans, R., & Schröter, D. (2005). A multidisciplinary multi-scale framework for assessing vulnerabilities to global change. International Journal of Applied Earth Observation and Geoinformation, 7(4), 253-267. https:// doi.org/10.1016/j.jag.2005.06.011 Mishra, A. K., & Singh, V. P. (2010). A review of drought concepts. Journal of hydrology, 391(1-2), 202-216. https://doi. org/10.1016/j.jhydrol.2010.07.012 Ortega-Gaucin, D., Ceballos-Tavares, J. A., Ordoñez Sánchez, A., & CastellanoBahena, H. V. (2021). Agricultural drought risk assessment: A spatial analysis of hazard, exposure, and vulnerability in Zacatecas, Mexico. Water, 13(10), 1431. https://doi.org/10.3390/w13101431 Ravindranath, N. H., Rao, S., Sharma, N., Nair, M., Gopalakrishnan, R., Rao, A. S., ... & Bala, G. (2011). Climate change vulnerability profles for North East India. Current Science, 384-394. Rezaeei, A. R., & Roshani, A. (2024). Prioritization of Factors Affecting Drought using the Fuzzy Analytic Hierarchy Process Method (Study Case: Torbat Heydarieh City). Journal of Drought and Climate change Research, 2(1), 77-92. doi: 10.22077/jdcr.2024.7255.1057 Rostamian, R., Eslamian, S., & Farzaneh, M. R. (2013). Application of standardised precipitation index for Seneviratne, S., Nicholls, N., Easterling, D., Goodess, C., Kanae, S., Kossin, J., ... & Zwiers, F. W. (2012). Changes in climate extremes and their impacts on the natural physical environment. Thirumalaivasan, D., Karmegam, M., & Venugopal, K. (2003). AHP-DRAStIC: software for specifc aquifer vulnerability assessment using DRAStIC model and GIS. Environmental Modelling & Software, 18(7), 645-656. https://doi. org/10.1016/S1364-8152(03)00051-3 Tigkas, D., Vangelis, H., & Tsakiris, G. (2019). Drought characterisation based on an agriculture-oriented standardized precipitation index. Theoretical and applied climatology, 135, 1435-1447. https://doi.org/10.30638/eemj.2015.156 UNDP (2010). Mapping Climate Change Vulnerability and Impact Scenarios – A Guidebook for Sub-National Planners. United Nations Development Programme. Wang, R., Zhang, J., Guo, E., Alu, S., Li, D., Ha, S., & Dong, Z. (2019). Integrated drought risk assessment of multi-hazard-affected bodies based on copulas in the Taoerhe Basin, China. Theoretical and Applied Climatology, 135, 577-592 https://doi. org/10.1007/s00704-018-2374-z Wilhelmi, O. V., & Wilhite, D. A. (2002). Assessing vulnerability to agricultural drought: a Nebraska case study. Natural Hazards, 25, 37-58. https://doi. org/10.1023/A:1013388814894 Wu, J., He, B., Lü, A., Zhou, L., Liu, M., & Zhao, L. (2011). Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China. Natural Hazards, 56, 785-801. https://doi.org/10.1007/s11069-010-9591-9 Zamani Nouri, A., Farsani, I.F., & Farzaneh, M.R. (2015). Assessment of multi-index agricultural drought vulnerability and spatial characteristics analysis. IJBPAS, 4(12), 440-452. Zhang, Q., Sun, P., Li, J., Xiao, M., & Singh, V. P. (2015). Assessment of drought vulnerability of the Tarim River basin, Xinjiang, China. Theoretical and applied climatology, 121, 337-347. https://doi. org/10.1007/s00704-014-1234-8 Zhang, Q., Yao, Y., Wang, Y., Wang, S., Wang, J., Yang, J., ... & Li, W. (2019). Characteristics of drought in Southern China under climatic warming, the risk, and countermeasures for prevention and control. Theoretical and Applied Climatology, 136, 1157-1173. https://doi. org/10.1007/s00704-018-2541-2 Zipper, S. C., Qiu, J., & Kucharik, C. J. (2016). Drought effects on US maize and soybean production: spatiotemporal patterns and historical changes. Environmental Research Letters, 11(9), 094021. https:// doi.org/ 10.1088/1748-9326/11/9/094021 | ||
آمار تعداد مشاهده مقاله: 342 تعداد دریافت فایل اصل مقاله: 179 |