Detection and trend analysis of drought in the Jazmurian basin of Iran associated with ocean- atmospheric indices

Document Type : Original Article

Author

Department of Physical Geography Faculty of Earth Sciences Shahid Beheshti University

10.30488/ccr.2022.359615.1091

Abstract

Evaluation the drought hazard in the basins of Iran located in the arid and semi- arid belt of the world is important from various dimension. While the role of teleconnection patterns in studying climatic hazards has been given more attention by researchers in recent decades. In this regard, the purpose of this research is to investigate and analyze the drought of the Jazmurian basin, a representative of one of the sub-basins of the central catchment located in the arid and semi-arid region of Iran. The humidity anomalies were investigated using the available Satellite and recorded data. This research revealed the humidity anomalies of the Jazmurian basin by using NDWI and MNDWI indices and also investigate the efficiency of using moisture composite spectral indices. Spectral analysis of humidity index in three time periods of 1985-2000, 2000-2013, and 2013-2020 in the Jazmurian basin showed that both MNDWI and NDWI indices in the three time periods studied to detect the existence of drought and negative humidity anomalies in the basin. Also, the results showed that the interpretation and analysis of spectral composite indices could not prepare the details of drought characteristics in this basin. Investigating the relationship between the SPEI drought index and ocean-atmospheric fluctuations was done using a multiple regression model. The results showed that the drought of the Jazmurian basin has a stronger significant relationship with the AMO and SOI indices at the 95% significance level and based on the results of the multiple regression model, the AMO explained more than 70% of the drought anomaly in Jamurian basin. The synoptic analysis of the drought showed that the stable conditions and atmospheric circulation during the warm phase of the AMO caused subsidence and stable weather conditions and increased the severity of the drought in the Jazmurian basin in the 1999.

Keywords


  1. Abdulahi, E. (2016). The effect of climate change on the condition of settlements around the Jazmurian lagoon, master's thesis. University of Tehran.
  2. Ahrari M.H. (2018). The Virtual Engine of Satellite Image Processing: Google Earth Engine System Training, Key Education Publications, Tehran, 242 p.
  3. Ahmadi M. (2013). Analyzing the relationship between teleconnection patterns and precipitation characteristics of Iran, PhD in Climatology Dissertation, Department of Physical Geography, Faculty of Humanities and Social Sciences, Tarbiat Modares University.
  4. Ahmadi Givi, F., Parhishkar, D., Hajam, S. (2009). Investigating the effect of ENSO on seasonal rainfall distribution in Iran during 1971-2000. Physics of Earth and Space, 35(4)
  5. Akbari Azirani T., Pazhoh F. (2022). Teleconection patterns and atmospheric-oceanic feedbacks, Jihad Publication of Shahid Beheshti University, V.1, Tehran, Iran, ISBN: 9-964479-194-978, 248 p.
  6. Alaei Taleghani M. (2002). Geomorphology of Iran, Publication of Ghome, V. 3, Tehran, Iran.
  7. Azhdari Moghadam M., Khosravi M., Hosseinpour Niknam H., Jafari Nadushan E. (2013). Drought forecasting using fuzzy-neural model, climate indicators, rainfall and drought index (case study: Zahedan), Journal of Geography and Development. 26: 61-72.
  8. Azizi Q. (1998). El Niño and periods of drought and drought in Iran. Geographical Research, 32(38), 71-84. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=11910
  9. Derini, J., Heydari M., Faryabi N., and Niknejad S.A. (2018). Analysis of the extent of droughts in the Jazmurian basin using the standardized precipitation index (SPI), National Conference on Water Crisis in Agriculture and Natural Resources, Tehran, https:/ /civilica.com/doc/70792.
  10. Ebrahimi, Zohreh, Vali, Abbasali, Khosrowshahi, Mohammad, (2016). Investigating the role of dried surfaces of the Bloody Cow wetland on the production of indoor dust using Landsat images and mud storms, Scientific and Research Quarterly of Iran's Pasture and Desert Research, Volume 24, Number 1 .
  11. Enfield D.B., Mestas-Nuñez A.M., Trimble P.J. (2001). The Atlantic multidecadal oscillation and its relationship to rainfall and river flows in the continental U.S. Geophys. Res. Lett., 28: 2077-2080.
  12. Eskandari Damaneh HAD, Eskandari Damaneh HAM, Khosravi H, Gholami H (2018). Drought analysis and monitoring using NDVI vegetation cover index (case study: Jazmurian lagoon west basin). Pasture, 13(3), 461-475. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=526158
  13. Ghayor H., Khosravi, M. (2001). The effect of Enso phenomenon on the anomalies of summer and autumn rainfall in the southeastern region of Iran. Geographical Research, 16(3 (serial 62)), 141-174. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=19214
  14. Hosseini Abri, S.J. 2017. Zayandeh Rood from Sarchesheme to Mardab, Golha Publications.
  15. IPCC, 2013. Summary for Policymakers. In: Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., Midgley, P.M. (Eds.), Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom; New York, NewYork, USA.
  16. Khosravi M. (2013). Investigation of the relationship between the patterns of macro-scale atmospheric circulation of the Northern Hemisphere and the annual droughts of Sistan and Baluchistan, Quarterly of Geography and Development, 3: 167-188.
  17. Khosh Akhlagh F. (2017). Enso phenomenon and its effect on Iran's rainfall regime, Geographical Research, , No. 51.
  18. Kumar L. and Mutanga O. (2018). Google Earth Engine Applications Since Inception: Usage, Trends, and Potential, remote sensing, Remote Sens. 2018, 10, 1509;doi:10.3390/rs10101509
  19. Lashkari, H. (2013). Synoptic analysis of circulation patterns leading to widespread and severe droughts in the south and southeast of Iran, 12th Congress of the Geographical Association of Iran with a focus on land management, the Iranian-Islamic model of progress, Najafabad, https:// civilica.com/doc/389393
  20. Lotfi Nasab Asl S., Gohardost A., Khosrowshahi M. (2017). Evaluation and application of geostatistics in identifying and analyzing drought characteristics of Jazmurian Basin. Watershed Management Research Journal, 9(18), 12-25. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=559008
  21. Marengo, J.A., et al. (2009). Future Change of Temperature and Precipitation Extremes in South America as Derived from the PRECIS Regional Climate Modeling System. International Journal of Climatology, 29, 2241-2255. https://doi.org/10.1002/joc.1863
  22. Masoudian S.A. (2005). Enso effect on Iran's rainfall, https://civilica.com/doc/1353616
  23. Mirahsani, Marzieh Sadat et al., (2016). Drought monitoring in Zayandeh Rood watershed area based on time series changes of VCI index of MODIS sensor and SPI index. Geography and dangers of Mahi during pp. 1-22.
  24. Mostafazadeh, Kamel (2012). Evaluation of the simultaneous effect of AMO and ENSO phenomena on the occurrence of meteorological droughts in Iran with an emphasis on Fars province, Master's thesis in the field of agricultural meteorology, Faculty of Agriculture, Shiraz University.
  25. Raziei,T., Thaqfian A., Shekohi, B. (2013). Forecasting the intensity, duration and frequency of drought using probabilistic methods and time series (case study: Sistan and Baluchestan province, Biyaban magazine, 8: 2.
  26. Roshan G.R., Mohammadnejadarooq V. (2013). prediction of hydrological changes in the water level of Lake Urmia with an approach to different hypothetical plans of global warming in the coming decades, Quantitative Geomorphology Researches, first year of winter 2013, number 3, pp. 69-88
  27. Soltanian M., Halabian, A.H. (2017). The application of remote sensing in environmental sciences: methods of processing satellite images in ENVI, Isfahan University Jihad Publications, first edition, 307 p.
  28. Vaezi A., Ghazban F., Tavakoli V., Routh J., Beni A.N., Bianchi T.S., Kylin H. (2019). A Late Pleistocene-Holocene multi-proxy record of climate variability in the Jazmurian playa, southeastern Iran. Palaeogeography, palaeoclimatology, palaeoecology, 514, 754-767.
  29. Vicente-SerranoM., Beguería S., López-Moreno J.I. (2010). A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. Journal of climate, 23(7), 1696-1718.
  30. mdpi.com/journal/remotesensing.
  31. https://earthengine.google.com/datasets/
  32. https://global-drought-crops.csic.es
  33. https://www.usgs.gov