Abstract
Variation in precipitation amounts and distribution patterns leads to changes in general atmospheric circulation, cloud cover, surface albedo, and concentrations of air pollutants in the context of climatic variability. Industrial, residential, and agricultural water demands largely depend on rainfall. Even rainfall variability significantly affects people's livelihood. This study evaluates the temporal variation in rainfall for the Kota district of Rajasthan state in India. Eight rainfall monitoring stations were utilised to collect precipitation data for 40 years (1981–2020). Trend analysis has been performed for monthly, seasonal, and annual rainfall series with the help of Mann–Kendall (non-parametric) and linear regression (parametric) trend tests. Standardised rainfall anomaly and wetness index were estimated to determine the excess in total annual rainfall. The monthly distribution of precipitation is contrasted with the help of the precipitation concentration index. Both non-parametric and parametric trend tests estimate an increasing trend in precipitation for February, March, June, July, August, and September months, reflecting an increase in the total annual precipitation for the research area. The analysis of precipitation data shows a very high inter and intra variability in annual rainfall (C.V. = 169.45). A very high non-uniformity of rain is observed from the analysis of PCI. The maximum concentration of precipitation (~84.50) took place in monsoon months. Annual rainfall has significantly increased over the last four decades, indicating the need for proper rainwater management and utilisation plans to take maximum benefits shortly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pradhan RK et al (2018) Changes of precipitation regime and its indices over Rajasthan state of India: impact of climate change scenarios experiments. Clim Dyn 52:3405–3420. https://doi.org/10.1007/s00382-018-4334-9
Caloiero T, Ferrari RCE (2018) Analysis of monthly rainfall trend in Calabria (Southern Italy). Appl Statist 2(11), 629:1–9. https://doi.org/10.3390/proceedings2110629
Devi S et al (2017) Spatial and temporal trends of precipitation and temperature for the MPUAT service area, Rajasthan, India. IOSR J Agric Veterin Sci 10(07):15–20. https://doi.org/10.9790/2380-1007011520
Deoli V, Rana S (2019) Seasonal trend analysis in rainfall and temperature for Udaipur District of Rajasthan, vol 14, issue (2), pp 312–319. https://doi.org/10.12944/CWE.14.2.15
Li XN et al (2017) Multi-timescale analysis of rainfall in Karst in Guizhou, China. IOP Conf Ser Earth Environ Sci 82(1):1–7. https://doi.org/10.1088/1755-1315/82/1/012051
Meena HM et al (2019) Trends and homogeneity of monthly, seasonal, and annual rainfall over arid region of Rajasthan, India. Theor Appl Climatol 136:795–811. https://doi.org/10.1007/s00704-018-2510-9
Singh B et al (2012) Probability analysis for estimation of annual one day maximum rainfall of Jhalarapatan Area of Rajasthan, India. Plant Arch 12(2):1093–1100
Kuldeep, Sisodiya S, Mathur AK (2020) Comparative assessment of noise models for Kota city. Mater Today Proc (xxxx):1–7. https://doi.org/10.1016/j.matpr.2020.09.513
Kuldeep et al (2019) Spatio-temporal variability of precipitation and temperature in Hadoti region, Rajasthan (India). Taru J Sustain Technol Comp 1(1):35–44. https://doi.org/10.47974/TJSTC.010.2019.v01i01
Kuldeep et al (2021) Noise vulnerability assessment at 78 dB (A) for Kota City, In: Baredar PV, Tangellapalli S, Solanki CS (eds) Advances in clean energy technologies. Springer Proceedings in Energy. Springer, Singapore, pp 1147–1159. https://doi.org/10.1007/978-981-16-0235-1_89
Kamboj K et al (2022) Assessment and spatial distribution mapping of criteria pollutants. Water Air Soil Poll 233:82:1:15. https://doi.org/10.1007/s11270-022-05522-y
Singh B et al (2014) Analysis of rainfall data for storage and irrigation planning in humid south-eastern plain of Rajasthan in India. J Appl Nat Sci 6(1):214–219. https://doi.org/10.31018/jans.v6i1.403
Meshram SG et al (2017) Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin. Central India (1901–2010 ), no. Ipcc 2007 134(1):1231–1243. https://doi.org/10.1007/s00704-017-2335-y
Zakwan M, Ara Z (2019) Statistical analysis of rainfall in Bihar. Sustain Water Resour Manage 5(4):1781–1789. https://doi.org/10.1007/s40899-019-00340-3
Pradhan RK, Sharma D, Panda SK, Dubey SK, Sharma A (2019) Changes of precipitation regime and its indices over Rajasthan state of India: impact of climate change scenarios experiments Climate Dynamics 52(5-6):3405–3420 https://doi.org/10.1007/s00382-018-4334-9
Shreepada D, Purohit RC, Bhakar SR, Lakhawat SS (2017) Spatial and temporal trends of precipitation and temperature for the MPUAT service area Rajasthan India IOSR Journal of Agriculture and Veterinary Science 10(07):15–20 https://doi.org/10.9790/2380https://doi.org/10.9790/2380-100701https://doi.org/10.9790/2380-1007011520
Acknowledgements
The authors acknowledge the financial support received from University Department, Rajasthan Technical University, Kota-324010, Rajasthan, India, to carry out the present work. The authors are also thankful to the Water Resources Department, Government of Rajasthan, India, for providing the necessary data to conduct the present study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Conflict of Interest
The authors declare that they don’t have any conflict of interest.
Data Statement
The data utilised in this research work are freely available and provided to anyone if needed.
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
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kuldeep, Sisodiya, S., Mathur, A.K. (2023). Statistical Analysis of Precipitation Over Kota (India) from 1981 to 2020. 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_22
Download citation
DOI: https://doi.org/10.1007/978-981-19-8524-9_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-8523-2
Online ISBN: 978-981-19-8524-9
eBook Packages: EngineeringEngineering (R0)