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Assessment, Management and investigation of the effects of climate change on drought in western cities of Iran | ||
| Water Harvesting Research | ||
| دوره 4، شماره 1، تیر 2021، صفحه 83-91 اصل مقاله (1.32 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2021.4281.1041 | ||
| نویسندگان | ||
| Vahid Safarian Zengir* 1؛ Sahar Amiri Doumari2؛ Leila abdolalizadeh3؛ Mohammadkia Kianian4؛ Ali Afzal Sarikhanbegloo5؛ Mostafa RahKhosravani6 | ||
| 1Ph.D. of physical geography, Climatology, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran. | ||
| 2Graduate of Master of Natural Resources Engineering, Dedesertification, Department of natural resources, Ardakan University, Yazd, Iran. | ||
| 3Master of Art (MA) urban Planning, Urban development department, faculty of art and architecture, Islamic Azad University Science and Research Branch, Tehran, Iran. | ||
| 4Assistant professor of Desert Studies Faculty, Semnan University, Iran. | ||
| 5M.Sc. in Remote Sensing and GIS, Water and Soil Studies, Mohaghegh Ardabili University, Iran. | ||
| 6M.Sc. in Agricultural Engineering, Faculty of Agriculture, Jiroft Branch of Azad University, Iran. | ||
| چکیده | ||
| Drought is a hazardous phenomenon, as a result of climatic parameters abnormalities. The effects of high and low drought occur in different parts of the country, and its effects are more noticeable in arid and semi-arid regions. One of these areas is western Iran, which has been affected by this phenomenon in recent years. The purpose of this study is drought modelling and investigation in western Iran. To do this, climatic parameters were first used, including precipitation, temperature, sunshine, relative humidity and wind speed in 32 years (1987-2018) at 16 stations in western Iran. For modelling the TIBI fuzzy index, at first, four indices (SET, SPI, SEB, MCZI) were been fuzzy in Matlab software, then the indices were compared and finally, by Vikor multivariate decision-making model was used to prioritize areas affected by drought. The results of this study showed that the impact of rainfall on the drought intensity on the 12-months scale is weaker than the 6-months scale. In the six months, from May 1998 to August 2006, the trend was increasing and then followed the steady pattern, but on a 12-month scale, from August 1995 to December 2001, the trend was increasing and after this month it followed the mostly steady pattern. The highest frequency of drought at 6 and 12-month scale occurred in Ilam station and its lowest was in Sarpule-Zahab station. The T.I.B.I index accurately reflects the four indicators of SET, SPI, SEB and MCZI. Based on the modelling, T.I.B.I fuzzy index showed relative superiority to the SPEI fuzzy index. Finally, according to the Vikor multivariate decision-making method, the Ilam station with a score of 0.99 was more prone to drought occurrence. | ||
| کلیدواژهها | ||
| Climate Change؛ Management؛ Surface Water Reduction؛ T.I.B.I Drought Index؛ Western Cities of Iran | ||
| مراجع | ||
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Adib, A. and Gorgizizadeh, A. (2017). Drought Monitoring Using Drought Indicators, Iranian irrigation and Water Engineering, 3 (6): 185-173.
Alizadeh, S.M., Mohammadi, H. and Kardvani, P. (2017). Modeling the Dispersion of Drought Caused by Climate Change in Iran Using Dynamic System, Land use planning, 9 (1): 169-188.
Bayazidi, M. (2019). Drought Evaluation of Synoptic Stations in the West of Iran Using the Hirbst Method and Adaptive Neuro-Fuzzy Model, Iranian Water Resources Research, 14 (1): 278-284.
Damavandi, A.A., Rahimi, M., Yazdani, M.R., Nowroozi, A.A. (2016). Field monitoring of agricultural drought through time series of NDVI and LST indicators. MODIS data (Case study: Central Kerman province), journal of Environmental Hazards Spatial Analysis, 5 (3): 115-126.
Ekhtiarikhaje, Sh. and Dinpazhoh, Y. (2019). Application of Effective Drought Index (EDI) for studying dry periods (Tabriz, Bandar Anzali and Zahedan stations), Irrigation Science and Engineering, 41 (1): 133-145.
Fanni, Z., Khalilollahi, H.A., Sajjadi, Zh. and Falesoleiman, M. (2016). Analysis of the causes and consequences of drought in South Khorasan province and Birjand City, Journal of Space Planning, 4 (20): 175-200.
Fathizadeh, H., Gholami-nia, A., Mobin, M.H. and Soodayezadeh, H. (2018). The Relationship between Meteorological Drought and Solar Variables in Some Iran's synoptic Stations, Natural Environment Risks, 2 (6): 63-87.
Ganguli, P. and Ganguly, A. (2016). Space time trends in U.S meteorological droughts, jourmal of hydrology, 8 (5): 235–259.
Hao, Z., Hao, F., Singh, V. Xia, Y. and Xinyishen, O. (2016). A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices. Advances in water resources, 14 (1): 240–247.
Huanga, S., Huanga, Q. Changa, J. Zhua, Y. and Leng, G. (2016). Drought structure based on a nonparametric multivariate standardized drought index across the Yellow River basin China. Journal of Hydrology, 530 (4): 235–259.
Jafari, G.H., Bakhtiari, F. and Dostkamian, M. (2017). Investigating and analyzing spatial association of droughts with Ghezel Ozan watershed discharge. Geography and Development, 3 (15): 79-94.
Kang, H. and Sridher, V. (2017). Combined statistical and spatially distributed hydrological model for evaluating future drought indices in virginia, Joumal of hydrology: regional studies, 12 (4): 253–272.
Karimi, M., Shahedi, K.K. AND Khehbat, K. (2016). Meteorological and hydrological drought using drought indices in Ghareh Souh watershed, journal of Earth physics and Space, 5 (42): 159-170.
Kis, A. Rita, P. and Judit, B. (2017). Multi- model analysis of regional dry and wet condition for the Carpatian Region. International journal of climatology, 17 (2): 43–60.
Malchovsky, Y. (2006). Geographic information system and Multi-Criteria Decision analysis, translated by A. Parhizgar and A. Ghafari Gilandeh. fourth edition. Samt Publishing, Tehran, p. 569.
Mirabbasi, R., Ahmadi, F., Ashoori, M. and Nazeri-Tahrudi, M. (2017). Analysis of droughts in northeastern Iran using JDI Index, Echo-Hydrology Journal, 2 (4): 573-585.
Mirzaee, F., Iraqi-Nejad, S. and Bozorg-Haddad, O. (2015). Development of WEAP Integrated Water Resources Model for Drought Condition Modeling, Journal of Watershed Engineering and Management, 7 (1): 85-97.
Parsamehr, A.H. and Khosravani, Z. (2018). Determination of drought using multi-criteria decision making based on TOPSIS, Iranian Pasture and Desert Research, 24 (6): 16-29.
Peiravi, R., Alidadi, H., Javid, A. and Najafpour, A.A. (2015). Modeling the effect of drought on total hardness and dissoled solids of groundwater in Mashhad plain, Journal of Environmental Health Research, 1 (2): 85-94.
Saada, N. and Romman, A.B. (2017). Multi-site modeling and simulation of the standardized precipitation index SPI in jordan, Joumal of hydrology: regional studies, 14 (2): 83–91.
Safarianzengir V, B. Sobhani. (2020). Simulation and Analysis of Natural Hazard Phenomenon, Drought in Southwest of the Caspian Sea, IRAN, Carpathian Journal of Earth and Environmental Sciences, Vol. 15, No. 1, p. 127 - 136; DOI:10.26471/cjees/2020/015/115
Salehi, B. and Mojtabapour, F. (2016). Spatial Analysis of Northwest Climatic Droughts Using Spatial Correlations Statistics, Journal of Environmental Hazards Spatial Analysis, 6 (3): 1-20.
Samadianfard, S. and Asadi, I. (2017). Prognosis of SPI drought index using multiple backup vector and linear regression methods, water and soil conservation, 6: 1-16.
Setiawan, A.M., Lee, W.S. and Rhee, J. (2017). Investigating the relationship between droughts and the phenomenon of Enso. International journal of climatology, 4 (3): 47–59.
Shamsnia, A., Pirmoradian, N. and Amiri, N. (2008). Drought modeling in Fars province using time series analysis, Geography and Planning, 14 (28): 165-189.
Sobhani B, V. Safarianzengir. (2019a). Modeling, monitoring and forecasting of drought in south and southwestern Iran, Iran. Modeling Earth Systems and Environment 5: https://doi.org/10.1007/s40808-019-00655-2
Sobhani B, V. Safarianzengir. (2019b). Modeling, monitoring and forecasting of drought in south and southwestern Iran, Iran. Modeling Earth Systems and Environment 5: https://doi.org/10.1007/s40808-019-00655-2
Sobhani, B. and Goldost, A. (2015). Drought monitoring and assessment of its prediction in Ardabil province with the SPI index and ANFIS model. Journal of Geographical Researches, 5 (1): 135-152.
Spinoni, J.G., Naumann, J. and Barbosa, P. (2015). The biggest drought events in Europe from 1950-2012. journal of hydrology: Regional, 3 (1): 509–524.
Torabipodeh, H., Shahinejad, B. and Dehghani, R. (2019). Drought Estimation Using Smart Grids, Hydro geomorphology, 5 (14): 179-197.
Touma, D., Ashfaq, M. Nayak, M. Kao, SC. and Diffenbaugh, N. (2015). A multi-model and multi-index evaluation of drought characteristics in the 21st century. Journal of Hydrology, 52 (3): 196–207.
Zahiri, A.R. Sharifan, H., Abareshi, F. and Rahimian, M. (2014). Evaluation of wet year and drought phenomena in Khorasan province using PNPI, SPI and NITZCHE indices, Iranian journal Irrigation and drainage, 3 (8): 845-865.
Zeinali, B. and Safarianzengir, V. (2017). Drought monitoring in Urmia lake basin using Fuzzy index, Natural Environment Hazards journal, 6 (12): 37-62.
Zeinali, B., Asghari, S. and Safarianzengir, V. (2017). Drought monitoring and assessment of its prediction possibility in Lake Urmia Basin using SEPT and ANFIS model, Environmental hazards Spatial Analysis Journal, 4 (1): 73-96.
Zeleke, T., Giorgi, T., Diro, F. and Zaitchik, B. (2017). Trend and periodicity of drought over Ethiopia. International journal of climatology, 65 (4): 33–48.
Zolfaghari, H. and Nourizameleh, Z. (2016). Application of drought index (CPEL) in determining the proper variables for analysis of droughts in Iran, Journal of Environmental Hazards Spatial Analysis, 2 (3): 99-114.
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