Skip to main content

Advertisement

Log in

Analyzing climate change and its effects on drought and water scarcity (case study: Ardabil, Northwestern Province of Iran, Iran)

  • Original Article
  • Published:
Sustainable Water Resources Management Aims and scope Submit manuscript

Abstract

Drought is a phenomenon that annually affects agriculture, tourism, and other areas. In recent years, a lot of research has been done on climate change and drought in various ways, but in relation to this phenomenon has not been done with appropriate methods. For this purpose, in this study, drought analysis and its prediction using the climate model of atmospheric circulation for years to come in Ardabil were dealt with. The data used in this study are precipitation, sunshine, minimum temperature and maximum temperature in monthly and daily intervals for the period of 29 years from 1990 to 2018. According to the findings of the present study, in Ardabil station, very severe drought on a 12-month scale has been repeated 5 times and severe drought has been repeated 12 times in the statistical period under study. But on a 3-month scale, very severe drought occurred 3 times while severe drought occurred 8 times. On a 12-month scale, it shows a higher drought index but is less pronounced in severe and very severe drought during the 3-months’ period. According to the HadCM3 atmospheric circulation model and scenario (A2), the precipitation parameter was more than observed in comparison with observations in March, January, and November, and in the other months, it has been decreasing. Maximum temperature: In this scenario, the climatic parameter of the maximum produced temperature has increased in all the months relative to observation data, and in the winter months (December, January, and February) it does not show a significant change for the next 40 years. It is worth noting that the sunshine parameter does not reveal a satisfactory answer with positive accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Alijani, B. (2013). Weather in Iran, Payame Noor Publications. [In Persian].

  • Alizadeh A, Ashgarat S (2008) Development of a model for drought monitoring and drought (Case Study: Razavi Khorasan Province). J Sci Agricultural Industries Water Soil 22:235–223 ([In Persian])

    Google Scholar 

  • Ansari H, Davari K, Sanaeinejad S (2010) Drought monitoring using SEPI standardized rainfall and sediment index, developed on the basis of fuzzy logic. J Soil Water (Agricultural Sci Technol) 24(1):38–52 ([In Persian])

    Google Scholar 

  • Ansari H, Khadivi M, Salehania N, Babayan I (2014) Investigation of the uncertainty of the LARS model under A1B, A2 and B1 scenarios in predicting rainfall and temperature in Mashhad. Iran Irrigation Drainage J 4:672–664 ([In Persian])

    Google Scholar 

  • Babaei A, Alijani B (2013) Spatial analysis of long-term drought in Iran. Nat Geography Res 45(3):12–21 ([In Persian])

    Google Scholar 

  • Bakhtiarinaniyat B, Malekian A, Salajeghet A (2015) Analysis of correlation between time base and time delay between climate drought and drought of Hashtgerd Plain. Iranian J Soil Water Res 46(4):616–609 ([In Persian])

    Google Scholar 

  • Ghorbani K, Salari-Jazzi M, Abdolhosseini M (2015) Probability prediction of annual drought based on the drought situation in spring in Erzakkuh, Iranian J Irrigation Drainage, (4), 9:645–636. [In Persian].

  • Haddadi H, Heidari H (2015) Detection of the effect of precipitation fluctuations on surface water flow in the Uremia Lake basin. Sci J Geography Environ Plann 58:247–262 ([In Persian])

    Google Scholar 

  • Hejazizadeh Z, Javizadeh S (2010) Introduction to Drought and Its Indicators, First Edition, Tehran, Organization for the Study and Compilation of Human Sciences Books of Universities, May 27, (4), 376. [In Persian].

  • Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds). (2001). Climate change 2001: the scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC): Cambridge University Press, Cambridge, UK and New York, NY, USA, 84.

  • Huanga S, Hunger Q, Changa J, Zhua Y, Lengb G (2015) Drought structure based on a nonparametric multivariate standardized drought index across the Yellow River basin, China. J Hydrol 530: 127–136.

  • Jain v, R Pandey, M Jain, H-R Byun (2015) Comparison of drought indices for appraisal of drought characteristics in the Ken River Basin. Weather and Climate Extremes, 8: 1-11

  • Keta T.B, Doesken N (1993) The relationship of drought frequency and duration to time scales. In: Eight conference on applied climatology. Anaheim, CA, American Meteorological Society. 179- 18u PP.

  • Khorrambakht A, Moshiri R, Mahdavi M (2014) Assessment of climatic drought characteristics in Larestan Region. Regional Plann Calendar 4(13):120–103 ([In Persian])

    Google Scholar 

  • Mo KC (2008) Model-based drought indices over the United States. J Hydrometeorol 9:1212–1230. https://doi.org/10.1175/2008JHM1002.1

    Article  Google Scholar 

  • Montazeri MA, Ataee B (2015) Stochastic forecasting drought (case study: Northwest of Iran). J Civ Environ Eng 45(1):65–40 ([In Persian])

    Google Scholar 

  • Niranjana K, Rajeevan KN, Pai M, Sivastava DS, Preethi AKB (2013) On the observed variability of monsoon droughts over India weather and climate extremes, 1: 42–50.

  • Safarianzengir V, Sobhani B, Asghari S (2019) Modeling and monitoring of drought for forecasting it, to reduce natural hazards atmosphere in western and north western part of Iran, Iran. Air Qual Atmos Health (2019) doi: https://doi.org/10.1007/s11869-019-00776-8

  • Safarianzengir V, Sobhani B (2020) Simulation and analysis of natural hazard phenomenon, drought in Southwest of the Caspian Sea, IRAN, Carpathian J Earth Environ Sci, 15(1):127–136; DOI: https://doi.org/10.26471/cjees/2020/015/115

  • Safarianzengir V, Sobhani B, Asghari S (2020a) Monitoring and investigating the possibility of forecasting drought in the western part of Iran. Arab J Geosci 13(12):493. https://doi.org/10.1007/s12517-020-05555-9

    Article  Google Scholar 

  • Safarianzengir V, Sobhani B, Yazdani MH, Kianian Mk (2020) Monitoring, analysis and spatial and temporal zoning of air pollution (carbon monoxide) using Sentinel-5 satellite data for health management in Iran, located in the Middle East, Air Quality, Atmosphere & Health, 13(6): 709–719. https://doi.org/https://doi.org/10.1007/s11869-020-00827-5

  • Samadibrujani H, Ebrahimi A (2010) Drought consequences and ways of coping with it in Chaharmahal Bakhtiari province. Water Resources Res Rep Shahrekord Univ 102–89(1):512–521 ([In Persian])

    Google Scholar 

  • Sarisaraf B, Vaeziehir A, Valaei A, Abtahi V (2016) Detection of meteorological and hydrological droughts in the South East of Lake Urmia. J Environ Risks 5(10):42–25 ([In Persian])

    Google Scholar 

  • Selgi A, Radmanesh FF, Razi B (2015) Drought detection and monitoring in Nahavand County using drought indicators. J Water Resources Eng 8:49–35 ([In Persian])

    Google Scholar 

  • Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Clim Res 10(2):95–107

  • Semenov MA, Barrow E, M). (2002) LARS-WG a stochastic weather generator for use in climate impact studies. User Manual Version 5:28

    Google Scholar 

  • Shamsipour, A. (2014). Water and Climate Modeling: Theory and Method, Second Edition, Tehran, University of Tehran, 459. [In Persian].

  • Sobhani B, Jafarzadehaliabad L, Zengir VS (2020a) Investigating the effects of drought on the environment in northwestern province of Iran, Ardabil, using combined indices, Iran. Model Earth Syst Environ (2020). https://doi.org/https://doi.org/10.1007/s40808-020-00733-w

  • Sobhani B, Safarianzengir V (2019) Investigation hazard effect of monthly ferrrin temperature on agricultural products in north bar of Iran. Iraqi J Agricultural Sci 50(1):320–330

    Google Scholar 

  • Sobhani B, Safarianzengir V (2019a). Modeling, monitoring and forecasting of drought in south and southwestern Iran, Iran. Modeling Earth Syst Environ 5: https://doi.org/https://doi.org/10.1007/s40808-019-00655-2

  • Sobhani B, Safarianzengir V (2020). Evaluation and zoning of environmental climatic parameters for tourism feasibility in northwestern Iran, located on the western border of Turkey, Modeling Earth Systems and Environment, (2020). https://doi.org/https://doi.org/10.1007/s40808-020-00712-1

  • Sobhani B, Safarianzengir V, Yazdani MH (2020b) Modelling, evaluation and simulation of drought in Iran, southwest Asia. J Earth Syst Sci 129:100 (2020). https://doi.org/https://doi.org/10.1007/s12040-020-1355-7

  • Sobhani B, Ghaffari A, Goldost A (2015) Drought monitoring in Ardebil province using the developed SEPI index based on fuzzy logic. J Appl Geosci Res 15(36):51–72 ([In Persian])

    Google Scholar 

  • Sobhani B, Safarianzengir V, Kianian MK (2018) Potentiometric mapping for wind turbine power plant installation Guilan province in Iran. J Appl Sci Environ Manage 22:1363–1368. https://doi.org/10.4314/jasem.v22i8.36

    Article  Google Scholar 

  • Sobhani B, Safarianzengir V, Miridizaj F (2019) Feasibility study of potato cultivating of Ardabil province in Iran based on VIKOR model. Revue Agriculture 10(2):92–102

    Google Scholar 

  • Sobhani B, Safarianzengir V, Kianian MK (2019a) Drought monitoring in the Lake Urmia basin in Iran. Arab J Geosci 12:448. https://doi.org/10.1007/s12517-019-4571-1

    Article  Google Scholar 

  • Sobhani B, Safarianzengir V, Kianian MK (2019b) Modeling, monitoring and prediction of drought in Iran. Iranian (Iranica), J Energy Environ 10: 216–224. doi: https://doi.org/10.5829/ijee.2019.10.03.09

  • Spinoni J, Naumann G, Vogt J, Barbosa P (2015) The biggest drought events in Europe from 1950–2012. J hydrol 3:509–524

    Google Scholar 

  • Tavosi T, Dela Q (2010) Ardabil province’s climate zonation. J Sci Technol Nivar 4(71–70):52–47 ([In Persian])

    Google Scholar 

  • Touma D, Ashfaq M, Nayak M, Kao S-C, Diffenbaugh N (2015) A multi-model and multi-index evaluation of drought characteristics in the 21st century. J Hydrol 526:196–207

    Article  Google Scholar 

  • Yazdani MH, Sobhani B, Safarianzengir V, Ghaffarigilandeh A (2020) Analysis, monitoring and simulation of dust hazard phenomenon in the northern Persian Gulf. Iran, Middle East, Arabian J Geosci 13(13):530. https://doi.org/10.1007/s12517-020-05470-z

    Article  Google Scholar 

  • Zeinali B, Safarienzengir V (2016) Drought Monitoring in Urmia Lake Basin Using Fuzzy Index. J Natural Hazards 6(12):62–37 ([In Persian])

    Google Scholar 

  • Zeinali B, Asghari S, Safarienzengir V (2017) Drought monitoring and evaluation of its prediction in Lake Urmia Basin using SEPI and ANFIS Model. Environ Impact Anal Spatial Anal J Year 4(1):96–73 ([In Persian])

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the I.R. of Iran Meteorological Organization (IRIMO) for providing the meteorological data for this study.

Funding

The author declares that there is no conflict of interests regarding the publication of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vahid Safarianzengir.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yazdani, M.h., Amininia, K., Safarianzengir, V. et al. Analyzing climate change and its effects on drought and water scarcity (case study: Ardabil, Northwestern Province of Iran, Iran). Sustain. Water Resour. Manag. 7, 16 (2021). https://doi.org/10.1007/s40899-021-00494-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40899-021-00494-z

Keywords

Navigation