Skip to main content

Analysis of Rainfall Variability and Drought Over Bardoli Region

  • Conference paper
  • First Online:
Climate Change Impact on Water Resources (HYDRO 2021)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 313))

  • 122 Accesses

Abstract

Both climatology and hydrology are involved in trend analysis to investigate climate change scenarios and improve the efficiency of climate impact studies. The long-term variation in precipitation, temperature, humidity, evaporation, wind speed, and other meteorological factors is referred to as climatic variability for an area. The purpose of this study was to investigate and estimate the relevance of the possible trend of variables such as rainfall in the Mindhola River Basin in the Bardoli Taluka of Gujarat's Surat District. The study's objective is to look at rainfall variability in the Mindhola River Basin for the next 30 years, from 1990 to 2020. Innovative trend analysis (ITA) for rainfall variability in the Mindhola River Basin was used to conduct a rainfall trend analysis on a monthly, seasonal, and annual basis in this study. The ITA approach could discover some trends that the MK test would miss. This test was used to determine the magnitude and direction of a current trend over time. This will give an understanding about rainfall trends or changes. This study also includes the drought analysis of rainfall using the Standardized Precipitation Index (SPI). In this study, SPI values and SPI plots are prepared in the RStudio software. The monthly, seasonal, and annual trends of precipitation for Bardoli region are in monotonic increasing trends or it is best fitted for the region. The drought study on the basis of rainfall suggests that at present, Bardoli region may not affected by the severe drought because it lies in near normal condition or moderately wet condition. This study helps policymakers, managers, and local authorities in taking protective measures for drought.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ay M, Kisi O (2015) Investigation of trend analysis of monthly total precipitation by an innovative method. Theoret Appl Climatol 120(3):617–629

    Article  Google Scholar 

  2. Caloiero T (2020) Evaluation of rainfall trends in the South Island of New Zealand through the innovative trend analysis (ITA). Theoret Appl Climatol 139(1):493–504

    Article  Google Scholar 

  3. Duhan D, Pandey A, Gahalaut KPS, Pandey RP (2013) Spatial and temporal variability in maximum, minimum and mean air temperatures at Madhya Pradesh in central India. Competes Rendus Geosci 345(1):3–21

    Article  Google Scholar 

  4. Ghosh KG (2018) Analysis of rainfall trends and its spatial patterns during the last century over the Gangetic West Bengal, Eastern India. J Geovisualization Spatial Anal 2(2):1–18

    Google Scholar 

  5. Hasan Z, Akhter S, Kabir A (2014) Analysis of rainfall trends in the South-east Bangladesh. J Environ 3(4):51–56

    Google Scholar 

  6. Hayes MJ (2000) Revisiting the SPI: clarifying the process

    Google Scholar 

  7. Hirsch RM, Slack JR (1984) A nonparametric trend test for seasonal data with serial dependence. Water Resour Res 20(6):727–732

    Article  Google Scholar 

  8. Kahya E, Kalaycı S (2004) Trend analysis of streamflow in Turkey. J Hydrol 289(1–4):128–144

    Article  Google Scholar 

  9. Kalayci S, Kahya E (1998) Detection of water quality trends in the rivers of the Susurluk basin. Turk J Eng Environ Sci 22(6):503–514

    CAS  Google Scholar 

  10. Kisi O, Ay M (2014) Comparison of Mann-Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey. J Hydrol 513:362–375

    Article  CAS  Google Scholar 

  11. Kisi O (2015) An innovative method for trend analysis of monthly pan evaporations. J Hydrol 527:1123–1129

    Article  Google Scholar 

  12. Libiseller C, Grimvall A (2002) Performance of partial Mann–Kendall tests for trend detection in the presence of covariates. Environmetrics Official J Int Environmetrics Soc 13(1):71–84

    Google Scholar 

  13. Malik A, Kumar A, Guhathakurta P, Kisi O (2019) Spatial-temporal trend analysis of seasonal and annual rainfall (1966–2015) using innovative trend analysis method with significance test. Arab J Geosci 12(10):1–23

    Article  CAS  Google Scholar 

  14. Martinez-Austria PF, Bandala ER, Patiño-Gómez C (2016) Temperature and heat wave trends in northwest Mexico. Phys Chem Earth Parts A/B/C 91:20–26

    Article  Google Scholar 

  15. Mehta D, Yadav SM (2021) An analysis of rainfall variability and drought over Barmer District of Rajasthan: Northwest India. Water Supply

    Google Scholar 

  16. Mohammed R, Scholz M (2019) Climate variability impact on the spatiotemporal characteristics of drought and Aridity in arid and semi-arid regions. Water Resour Manage 33(15):5015–5033

    Article  Google Scholar 

  17. Onyutha C, Willems P (2015) Spatial and temporal variability of rainfall in the Nile Basin. Hydrol Earth Syst Sci 19(5), 2227–2246

    Google Scholar 

  18. Partal T, Kahya E (2006) Trend analysis in Turkish precipitation data. Hydrol Process Int J 20(9):2011–2026

    Article  Google Scholar 

  19. Sa’adi Z, Shahid S, Ismail T, Chung ES, Wang XJ (2019) Trends analysis of rainfall and rainfall extremes in Sarawak, Malaysia using modified Mann–Kendall test. Meteorol Atmosph Phys 131(3):263–277

    Google Scholar 

  20. Sah S, Singh RN, Chaturvedi G, Das B (2021) Trends, variability, and teleconnections of long-term rainfall in the Terai region of India. Theoret Appl Climatol 143(1):291–307

    Article  Google Scholar 

  21. Salinger MJ, Mullan AB (1999) New Zealand climate: temperature and precipitation variations and their links with atmospheric circulation 1930–1994. Int J Climatol J R Meteorol Soc 19(10):1049–1071

    Google Scholar 

  22. Şen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17(9):1042–1046

    Article  Google Scholar 

  23. Şen Z (2014) Trend identification simulation and application. J Hydrol Eng 19(3):635–642

    Article  Google Scholar 

  24. Singh RN, Sah S, Das B, Vishnoi L, Pathak H (2021) Spatio-temporal trends and variability of rainfall in Maharashtra, India: Analysis of 118 years. Theoret Appl Climatol 143(3):883–900

    Article  Google Scholar 

  25. Shah R, Bharadiya N, Manekar V (2015) Drought index computation using standardized precipitation index (SPI) method for Surat District, Gujarat. Aquatic Procedia 4:1243–1249

    Article  Google Scholar 

  26. Tabari H, Taye MT, Willems P (2015) Statistical assessment of precipitation trends in the upper Blue Nile River basin. Stoch Env Res Risk Assess 29(7):1751–1761

    Article  Google Scholar 

  27. Thomas J, Prasannakumar V (2016) Temporal analysis of rainfall (1871–2012) and drought characteristics over a tropical monsoon-dominated State (Kerala) of India. J Hydrol 534:266–280

    Article  Google Scholar 

  28. Türkeş M (1996) Spatial and temporal analysis of annual rainfall variations in Turkey. Int J Climatol J R Meteorol Soc 16(9):1057–1076

    Article  Google Scholar 

  29. Umran Komuscu A (1999) Using the SPI to analyze spatial and temporal patterns of drought in Turkey. Drought Network News (1994–2001):49

    Google Scholar 

  30. Wang P, Xie D, Zhou Y, Youhao E, Zhu Q (2014) Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China. Environ Earth Sci 71(2):647–658

    Article  Google Scholar 

  31. Wang Y, Zhang Q, Singh VP (2016) Spatiotemporal patterns of precipitation regimes in the Huai River basin, China, and possible relations with ENSO events. Nat Hazards 82(3):2167–2185

    Article  Google Scholar 

  32. Wu H, Qian H (2017) Innovative trend analysis of annual and seasonal rainfall and extreme values in Shaanxi, China, since the 1950s. Int J Climatol 37(5):2582–2592

    Article  Google Scholar 

  33. Yang H, Xiao H, Guo C, Sun Y, Gao R (2020) Innovative trend analysis of annual and seasonal precipitation in Ningxia, China. Atmosph Oceanic Sci Lett 13(4):308–315

    Article  Google Scholar 

  34. Zakwan M, Ahmad Z (2021) Trend analysis of hydrological parameters of Ganga River. Arab J Geosci 14(3):1–15

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Priyank Patel or Darshan Mehta .

Editor information

Editors and Affiliations

Additional information

Disclaimer: The presentation of material and details in maps used in this chapter does not imply the expression of any opinion whatsoever on the part of the Publisher or Author concerning the legal status of any country, area or territory or of its authorities, or concerning the delimitation of its borders. The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases in this chapter are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the Publisher or Author.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Patel, P., Mehta, D., Waikhom, S., Patel, K. (2023). Analysis of Rainfall Variability and Drought Over Bardoli Region. In: Timbadiya, P.V., Singh, V.P., Sharma, P.J. (eds) Climate Change Impact on Water Resources. HYDRO 2021. Lecture Notes in Civil Engineering, vol 313. Springer, Singapore. https://doi.org/10.1007/978-981-19-8524-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-8524-9_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8523-2

  • Online ISBN: 978-981-19-8524-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics