Drought trends and climate variability in India’s Mahi river basin

Drought and climate in Mahi basin

Authors

  • SARAL KUMAR Sam Higginbottom University of Agriculture, Technology & Sciences, Prayagraj- 211007, India
  • ALOK MISHRA Sam Higginbottom University of Agriculture, Technology & Sciences, Prayagraj- 211007, India
  • ANUJ KUMAR DWIVEDI National Institute of Hydrology Roorkee,Uttarakhand,India-247667
  • DEEPAK SINGH ICAR-Indian Institute of Soil & Water Conservation, Dehradun-248195, India

DOI:

https://doi.org/10.21921/jas.v12i03.15245

Keywords:

Climate variability, Drought indices, Precipitation patterns, Principal component analysis, Water resource management

Abstract

Climate variability and drought have emerged as critical concerns in semi-arid regions, where water resources are acutely sensitive to fluctuations in temperature and precipitation. The Mahi river basin in western India, encompassing Madhya Pradesh, Rajasthan, and Gujarat, has been subject to limited comprehensive long-term studies despite its susceptibility to climate-induced hydrological stress. This study seeks to evaluate long-term trends in climate variables and drought patterns in the Mahi river basin from 1985 to 2022. Utilizing historical climate data and key drought indices Standardized Precipitation Index (SPI), Rainfall Anomaly Index (RAI), and Standardized Anomaly Index (SAI) in conjunction with statistical tools such as Principal Component Analysis (PCA), we assess changes in temperature, precipitation, and drought severity. The results indicate a 1.2°C increase in average annual temperature and significant interannual variability in precipitation, contributing to more frequent and intense drought events. PCA results revealed that SPI and precipitation collectively account for 100% of the variance in drought behavior, underscoring their critical role in drought monitoring. These findings underscore the necessity for adaptive water resource management strategies to enhance resilience in the face of increasing climate variability.

Author Biographies

SARAL KUMAR, Sam Higginbottom University of Agriculture, Technology & Sciences, Prayagraj- 211007, India

Research Scholar

ALOK MISHRA, Sam Higginbottom University of Agriculture, Technology & Sciences, Prayagraj- 211007, India

Professor 

DEEPAK SINGH, ICAR-Indian Institute of Soil & Water Conservation, Dehradun-248195, India

Senior Scientist 

References

AghaKouchak A, Farahmand A, Melton F S, Teixeira J, Anderson M C, Wardlow B D and Hain C R. 2015. Remote sensing of drought: Progress, challenges and opportunities. Reviews of Geophysics 53(2): 452–480.

Ahmadalipour A, Moradkhani H, Yan H and Zarekarizi M. 2017. Remote sensing of drought: Vegetation, soil moisture, and data assimilation. In Remote Sensing of Hydrological Extremes (pp. 121–149).

Burke E J and Brown S J. 2008. Evaluating uncertainties in the projection of future drought. Journal of Hydrometeorology 9(2): 292–299.

Cao Y, Chen S, Wang L, Zhu B, Lu T and Yu Y. 2019. An agricultural drought index for assessing droughts using a water balance method: A case study in Jilin Province, Northeast China. Remote Sensing 11(9): 1066.

Dai A. 2013. Increasing drought under global warming in observations and models. Nature Climate Change 3(1): 52–58.

Diffenbaugh N S and Giorgi F. 2012. Climate change hotspots in the CMIP5 global climate model ensemble. Climatic Change 114: 813–822.

Dutt S, Gupta A K, Cheng H, Clemens S C, Singh R K and Tewari V C. 2021. Indian summer monsoon variability in northeastern India during the last two millennia. Quaternary International 571: 73-80.

Hao Z and AghaKouchak A. 2013. Multivariate standardized drought index: A parametric multi-index model. Advances in Water Resources 57: 12–18.

IPCC. 2014. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II, and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland, 151 pp.

Lee M H, Im E S and Bae D H. 2019. A comparative assessment of climate change impacts on drought over Korea based on multiple climate projections and multiple drought indices. Climate Dynamics 53: 389–404.

Masroor M, Rehman S, Avtar R, Sahana M, Ahmed R and Sajjad H. 2020. Exploring climate variability and its impact on drought occurrence: Evidence from Godavari Middle sub-basin, India. Weather and Climate Extremes 30: 100277.

McKee T B, Doesken N J and Kleist J. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179–183).

Mehran A, Mazdiyasni O and AghaKouchak A. 2015). A hybrid framework for assessing socioeconomic drought: Linking climate variability, local resilience, and demand. Journal of Geophysical Research: Atmospheres 120(15): 7520–7533.

Muthiah M, Sivarajan S, Madasamy N, Natarajan A and Ayyavoo R. 2024. Exploring short-and long-term meteorological drought parameters in the Vaippar Basin of Southern India. Scientific Reports 14(1): 13428.

Palmer W C. 1965. Meteorological drought (Vol. 30). US Department of Commerce, Weather Bureau.

Pawar U, Hire P, Gunathilake M B and Rathnayake U. 2023. Spatiotemporal rainfall variability and trends over the Mahi basin, India. Climate 11(8): 163.

Scafetta N, Mirandola A and Bianchini A. 2017. Natural climate variability, part 1: Observations versus the modeled predictions. International Journal of Heat and Technology 35(S1): S9-S17.

Sharma A, Sharma D and Panda S K. 2022. Assessment of spatiotemporal trend of precipitation indices and meteorological drought characteristics in the Mahi River basin, India. Journal of Hydrology 605: 127314.

Sharma A, Sharma D, Panda S K, Dubey S K and Pradhan R K. 2018. Investigation of temperature and its indices under climate change scenarios over different regions of Rajasthan state in India. Global and Planetary Change 161: 82-96.

Sohrabi M M, Ryu J H, Abatzoglou J and Tracy J. 2015. Development of soil moisture drought index to characterize droughts. Journal of Hydrologic Engineering 20(11): 04015025.

Sun C and Yang S. 2012. Persistent severe drought in southern China during winter–spring 2011: Large-scale circulation patterns and possible impacting factors. Journal of Geophysical Research: Atmospheres 117(D10).

Svoboda M D and Fuchs B A. 2016. Handbook of drought indicators and indices (Vol. 2). Geneva, Switzerland: World Meteorological Organization.

Tijdeman E, Stahl K and Tallaksen L M. 2020. Drought characteristics derived based on the standardized streamflow index: A large sample comparison for parametric and nonparametric methods. Water Resources Research 56(10): e2019WR026315.

Trenberth K E, Dai A, Van Der Schrier G, Jones P D, Barichivich J, Briffa K R and Sheffield J. 2014. Global warming and changes in drought. Nature Climate Change 4: 17–22.

Xu L, Abbaszadeh P, Moradkhani H, Chen N and Zhang X. 2020. Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index. Remote Sensing of Environment 250: 112028.

Xu L, Chen N and Zhang X. 2019. Global drought trends under 1.5 and 2°C warming. International Journal of Climatology 39(4): 2375–2385.

Xu L, Chen N, Zhang X, Moradkhani H, Zhang C and Hu C. 2021. In-situ and triple-collocation based evaluations of eight global root zone soil moisture products. Remote Sensing of Environment 254: 112248.

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Published

2025-09-30