Skip to main content

Advertisement

Log in

Comparison of Agricultural Drought Indices for Ahmednagar Region for a Period of 1990–2023

  • Original Research
  • Published:
SN Computer Science Aims and scope Submit manuscript

Abstract

Due to recent insufficient rainfall compared to the national average, the Ahmednagar area of Maharashtra state has been in the news whenever India has experienced a dry season. Ahmednagar is one of the areas with the highest risk of drought. Dry spells can be weather-related, agricultural, or hydrological in origin. Surveying and monitoring dry spell conditions is critical for effectively planning and implementing mitigation activities since they pose a significant risk to crop yield and food security. Thus, the present research emphasizes agricultural dry spell indicators for the Ahmednagar region of Maharashtra, India, evaluated from 1990 to 2023. To accurately depict the agricultural dry season in Ahmednagar, historical data is considered to learn more about the accuracy and sufficiency of different dry spell indices, such as the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), Palmer Dry season Earnestness Index (PDSI), and Self Calibrating Palmer Drought Precipitation Index (scPDSI). In the present paper, certain precipitation data collected by the National Centers for Environmental Information (NCEI) have been used as the main indicator to evaluate the severity of agricultural dry seasons. The calculated SPI is used to predict the repetition and severity of dry seasons. A statistical-based ‘theory of run’ method is applied to determine the maximum severity, agricultural dryness, and drought length. According to the Mann-Kendall trend test findings, the study’s drought conditions have worsened over time. This study can be helpful for governments, agricultural departments, policy and decision-makers.

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

Similar content being viewed by others

Data Availability

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

References

Download references

Author information

Authors and Affiliations

Authors

Contributions

Archana Mullapudi: Conceptualization, Data curation, Experiments, Writing draft. C. H. Patil: Formal analysis, Edited the manuscript, Correction, Evaluation. Amol D. Vibhute: Scientific analysis, Investigation, Validation, Technical assistance, Writing - review & final editing. Shankar Mali: Formal analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chandrashekhar H. Patil.

Ethics declarations

Conflict of interest

all the authors declare that he/she has no conflict of interest.

Ethical Approval

This article does not contain any studies with animals performed by any of the authors.

Additional information

Publisher’s Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mullapudi, A., Patil, C.H., Vibhute, A.D. et al. Comparison of Agricultural Drought Indices for Ahmednagar Region for a Period of 1990–2023. SN COMPUT. SCI. 5, 1101 (2024). https://doi.org/10.1007/s42979-024-03497-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s42979-024-03497-7

Keywords

Navigation