Skip to main content
Log in

Spatio-temporal analysis of meteorological drought in Punjab under past, present and future climate change scenarios

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Drought is a recurring natural hazard which causes damage to crop production, socio-economic and environmental conditions. The analysis and forecasting of drought is important for food security and sustainable crop production. Standardized Precipitation Index (SPI) was used to characterize the meteorological drought in the three regions (North-east, Central and South-west) of Indian Punjab. Spatio-temporal variability in SPI was assessed during three time scenarios: past and present time (1971–2020), mid-century (2040–2060) and end-century (2075–2095). During 1971–2020, there was a significant increase in SPI during Kharif (summer) season in the three region of Indian Punjab. However, no significant variations in SPI were observed during annual and Rabi (winter) season. During mid-century, annual and Kharif season SPI is expected to increase in the North-east region under Representative Concentration Pathway (RCP) 4.5, RCP 6.0 and RCP 8.5 scenarios, but Rabi season SPI might decrease under RCP 2.6 in this region. In the Central region of Indian Punjab, a significant increase in annual SPI is expected under RCP 2.6 and RCP 4.5, increase during Kharif season SPI under all the RCPs and decrease during Rabi season SPI under RCP 4.5 and RCP 6.0. A significant increase in annual and Kharif season SPI is expected under all the RCPs in South-west region and also increase in Rabi season SPI in this region under RCP 2.6 and RCP 4.5. During end-century, annual, Kharif and Rabi season SPI might increase under RCP 4.5 in the North-east region, but Kharif season SPI may decease under RCP 8.5 and Rabi season SPI under RCP 2.6. In the Central region of Indian Punjab, an increase in annual, Kharif and Rabi season SPI is expected under RCP 8.5 during end century and a significant decrease in Rabi season SPI under RCP 2.6. The spatial variations in SPI were determined using Inverse Distance Weight and large spatio-temporal variability in drought occurrence was observed under different time periods. These results suggest that increased uncertainty in rainfall during mid and end century may have adverse impacts on already over-exploited water resources in the Indian Punjab. The mapping of drought vulnerability in different regions of Indian Punjab may be helpful for policy makers to visualize its impact on crop production and formulating the mitigation strategies.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Abdulrazzaq ZT, Hasan RH, Aziz NA (2019) Integrated TRMM data and standardized precipitation index to monitor the meteorological drought. Civ Eng J 5:1590–1598

    Article  Google Scholar 

  • Ahmad AA, Yusof F, Mispan MR, Kamaruddin H (2017) Rainfall, evapotranspiration and rainfall deficit trend in Alor Setar, Malaysia. Desalin Water Treat 13:400–404

    Google Scholar 

  • Akter T, Taulkder M, Rahman M, Mazumder M (2013) Dynamic crop planning for enhancing crop productivity in Mymensingh district. J Bangladesh Agril Univ 11 (452–2016–35597):313–320

  • Alam JA, Rahman SM, Saadat A (2013) Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model. Int J Geomat Geosci 3(3):511

    Google Scholar 

  • Amnuaylojaroen T, Chanvichit P (2019) Projection of near-future climate change and agricultural drought in Mainland Southeast Asia under RCP8. 5. Clim Change 155(2):175–193

    Article  Google Scholar 

  • Bhavani P, Roy P, Chakravarthi V, Kanawade VP (2017) Satellite remote sensing for monitoring agriculture growth and agricultural drought vulnerability using long-term (1982–2015) climate variability and socio-economic data set. Proc Natl Acad Sci India - Phys Sci 87(4):733–750

    Article  Google Scholar 

  • Bhunia P, Das P, Maiti R (2020) Meteorological drought study through SPI in three drought prone districts of West Bengal. India Earth Syst Environ 4(1):43–55

    Article  Google Scholar 

  • Bong CHJ, Richard J (2020) Drought and climate change assessment using standardized precipitation index (SPI) for Sarawak River Basin. J Water Clim Change 11(4):956–965

    Article  Google Scholar 

  • Chandrasekar K, Sesha Sai M, Roy P, Dwevedi R (2010) Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product. Int J Remote Sens 31(15):3987–4005

    Article  Google Scholar 

  • Chen F-W, Liu C-W (2012) Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ 10(3):209–222

    Article  Google Scholar 

  • Dalezios N (2011) Climatic change and agriculture: impacts-mitigation-adaptation. Scientific J GEOTEE 27:13–28

    Google Scholar 

  • Danandeh Mehr A, Sorman AU, Kahya E, Hesami Afshar M (2020) Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara. Turkey Hydrol Sci J 65(2):254–268

    Article  Google Scholar 

  • Dar MUD, Aggarwal R, Kaur S (2019) Climate Predictions for Ludhiana District of Indian Punjab under RCP 4.5 and RCP 8.5. Int J Environ Clim Change 9:128–141

    Article  Google Scholar 

  • Dikshit A, Pradhan B (2021) Explainable AI in drought forecasting. Mach Learn with App 6:100192

    Article  Google Scholar 

  • Dikshit A, Pradhan B, Alamri AM (2020) Short-term spatio-temporal drought forecasting using random forests model at New South Wales. Australia Appl Sci 10(12):4254

    Article  Google Scholar 

  • Dikshit A, Pradhan B, Huete A (2021) An improved SPEI drought forecasting approach using the long short-term memory neural network. J Environ Manage 283:111979

    Article  Google Scholar 

  • Escalante-Sandoval C, Nunez-Garcia P (2017) Meteorological drought features in northern and northwestern parts of Mexico under different climate change scenarios. J Arid Land 9(1):65–75

    Article  Google Scholar 

  • FAO (2018) The impact of disasters and crises on agriculture and food security. Report available at https://www.fao.org/documents/card/en/c/cb3673en/

  • Gidey E, Dikinya O, Sebego R, Segosebe E, Zenebe A (2018) Predictions of future meteorological drought hazard (~ 2070) under the representative concentration path (RCP) 4.5 climate change scenarios in Raya. Northern Ethiopia. Model Earth Syst Environ 4(2):475–488

    Article  Google Scholar 

  • Gorelick SM, Zheng C (2015) Global change and the groundwater management challenge. Water Resour Res 51(5):3031–3051

    Article  Google Scholar 

  • Guhan V, Geethalakshmi V, Panneerselvam S, Raviraj A, Lakshmanan A, Ramanathan S, Bhuvaneswari K (2020) Assessment of Drought Over Parambikulam Aliyar Basin of Tamil Nadu. Int J Environ Clim Change 10:35–42

    Google Scholar 

  • Gulati A, Sharma B, Banerjee P, Mohan G (2019) Getting more from less: Story of India’s shrinking water resources. NABARD and ICRIER Report, Indian Council for Research on International Economic Relations, New Delhi:170

  • Hira G (2009) Water management in northern states and the food security of India. J Crop Improv 23(2):136–157

    Article  Google Scholar 

  • Hoque MA-A, Pradhan B, Ahmed N (2020) Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh. Sci Total Environ 705:135957

    Article  Google Scholar 

  • Hunt ED, Hubbard KG, Wilhite DA, Arkebauer TJ, Dutcher AL (2009) The development and evaluation of a soil moisture index. Int J Climatol: A Journal of the Royal Meteorological Society 29(5):747–759

    Article  Google Scholar 

  • Kingra P, Setia R, Singh S, Kaur J, Kaur S, Singh SP, Kukal S, Pateriya B (2017) Climatic variability and its characterisation over Punjab. India J Agrometeorol 19(3):246–250

    Article  Google Scholar 

  • Kingra P, Setia R, Kaur S, Kaur J, SINGH S, Singh SP, Kukal S, Pateriya B, (2018a) Analysis and mapping of Spatio-temporal climate variability in Punjab using classical statistics and geostatistics. Mausam 69(1):147–155

    Article  Google Scholar 

  • Kingra P, Setia R, Kaur S, Singh S, Singh SP, Kukal S, Pateriya B (2018b) Spatio-temporal analysis of the climate impact on rice yield in north-west India. Spat Inf Res 26(4):381–395

    Article  Google Scholar 

  • Kingra P, Misra A (2021) Agricultural Input Use Efficiency and Climate Change: Ways to Improve the Environment and Food Security. In: Input Use Efficiency for Food and Environmental Security. Springer, pp 33–67

  • Kogan F (2002) World droughts in the new millennium from AVHRR-based vegetation health indices. EOS Trans Am Geophys Union 83(48):557–563

    Article  Google Scholar 

  • Kumar MD, Bassi N (2021) The Climate Challenge in Managing Water: Evidence Based on Projections in the Mahanadi River Basin. India Front Water 3:61

    Google Scholar 

  • Liu Y, Chen J, Pan T (2021) Spatial and temporal patterns of drought hazard for China under different RCP scenarios in the 21st century. Int J Disaster Risk Reduct 52:101948

    Article  Google Scholar 

  • Mahdavi P, Kharazi HG, Eslami H, Zohrabi N, Razaz M (2021) Drought occurrence under future climate change scenarios in the Zard River basin. Iran Water Supply 21(2):899–917

    Article  Google Scholar 

  • McGuire JK, Palmer WC (1957) The 1957 drought in the eastern United States. Mon Weather Rev 85(9):305–314

    Article  Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th Conference on Applied Climatology. vol 22. California, pp 179–183

  • Mehta D, Yadav S (2021) An analysis of rainfall variability and drought over Barmer District of Rajasthan. Northwest India Water Supply 21(5):2505–2517

    Article  Google Scholar 

  • Mesbahzadeh T, Mirakbari M, Mohseni Saravi M, SoleimaniSardoo F, Miglietta MM (2020) Meteorological drought analysis using copula theory and drought indicators under climate change scenarios (RCP). Meteorol Appl 27(1):e1856

    Article  Google Scholar 

  • Mishra AK, Singh VP (2011) Drought modeling–A review. J Hydrol 403(1–2):157–175

    Article  Google Scholar 

  • Mondol M, Haque A, Ara I, Das SC (2017) Meteorological drought index mapping in Bangladesh using standardized precipitation index during 1981–2010. Adv Meteorol 2017

  • Narasimhan B, Srinivasan R (2005) Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agric for Meteorol 133(1–4):69–88

    Article  Google Scholar 

  • Okonkwo C, Demoz B, Onyeukwu K (2013) Characteristics of drought indices and rainfall in Lake Chad Basin. Int J Remote Sens 34(22):7945–7961

    Article  Google Scholar 

  • Palchaudhuri M, Biswas S (2013) Analysis of meteorological drought using standardized precipitation index: a case study of Puruliya District, West Bengal, India. Int J Environ Earth Sci Eng 7(3):6–13

    Google Scholar 

  • Palmer WC (1968) Keeping track of crop moisture conditions, nationwide: the new crop moisture index.

  • Remilekun AT, Thando N, Nerhene D, Archer E (2021) Integrated assessment of the influence of climate change on current and future intra-annual water availability in the Vaal River catchment. J Water Clim Change 12(2):533–551

    Article  Google Scholar 

  • Sachan S, Chandola V, Lohani A (2016) Probability analysis of rainfall and crop water requirement using CROPWAT model for crop planning in a canal command of upper Bhima Basin of Maharashtra. Int J Agric Environ Biotechnol 9(1):123–135

    Article  Google Scholar 

  • Shetty P, Ayyappan S, Swaminathan MS (2013) Climate change and sustainable food security (NIAS Books and Special Publications No. SP4–2013). National Institute of Advanced Studies, Bangalore and Indian Council of Agricultural Research, New Delhi.

  • Sesha SMVR, Murthy CS, Chandrasekar K, Jeysaleen A, Diwakar PG, Dhadhwal VK (2016) Agricultural Drought: Assessment and monitoring. MAUSAM 67:131–42

  • Srivastava S, Chand R, Singh J, Kaur AP, Jain R, Kingsly I, Raju S (2017) Revisiting groundwater depletion and its implications on farm economics in Punjab, India. Curr Sci 113:422–429

    Article  Google Scholar 

  • Wilhite DA, Buchanan-Smith M (2005) Drought as hazard: understanding the natural and social context. Drought and water crises: Science, technology, and management issues. pp.3–29. CRC Press, Boca Raton.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raj Setia.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Zeynal Abiddin Erguler

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bopche, U., Kingra, P.K., Setia, R. et al. Spatio-temporal analysis of meteorological drought in Punjab under past, present and future climate change scenarios. Arab J Geosci 15, 756 (2022). https://doi.org/10.1007/s12517-022-10025-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-022-10025-5

Keywords