Application of innovative trend analysis for rainfall variability in the middle catchment of Mahanadi River basin, India

Authors

  • SOUBHAGYA LAXMI RAY Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Technology (OUAT), Bhubaneswar, Odisha, India
  • AMBIKA PRASAD SAHU Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Technology (OUAT), Bhubaneswar, Odisha, India
  • JAGADISH CHANDRA PAUL Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Technology (OUAT), Bhubaneswar, Odisha, India
  • DWARIKA MOHAN DAS Krishi Vigyan Kendra, Odisha University of Agriculture and Technology, Jagatsinghpur 754160, Odisha
  • SANJAY KUMAR RAUL Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Technology (OUAT), Bhubaneswar, Odisha, India
  • PRACHI PRATYASHA JENA Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Odisha University of Agriculture & Technology (OUAT), Bhubaneswar, Odisha, India

DOI:

https://doi.org/10.54386/jam.v26i2.2542

References

Cui, L., Wang, L., Lai, Z., Tian, Q., Liu, W. and Li, J. (2017). Innovative trend analysis of annual and seasonal air temperature and rainfall in the Yangtze River Basin, China during 1960–2015. J. Atmos. Sol. Terr. Phys., 164:48-59.

Girma, A., Qin, T., Wang, H., Yan, D., Gedefaw, M., Abiyu, A. and Batsuren, D. (2020). Study on Recent Trends of Climate Variability Using Innovative Trend Analysis: The Case of the upper Huai River Basin. Pol. J. Environ. Stud., 29(3):2199-2210.

Kendall, M. G. (1948). Rank correlation methods, Oxford University Press, New York.

Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 245-259.

Pai D. S., Latha Sridhar, Rajeevan M., Sreejith O. P., Satbhai N.S. and Mukhopadhyay B. (2014). Development of a new high spatial resolution (0.25° X 0.25°) Long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam, 65(1):1-18.

Pour, S. H., Abd Wahab, A. K., Shahid, S. and Ismail, Z. B. (2020). Changes in reference evapotranspiration and its driving factors in peninsular Malaysia. Atmos. Res., 246:105096.

Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. J. Am. Statist. Ass., 63(324):1379-1389.

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

Singh, R. N., Sonam Sah, Gaurav Chaturvedi, Bappa Das, and H. Pathak. (2021). Innovative trend analysis of rainfall in relation to soybean productivity over western Maharashtra. J. Agrometeorol., 23(2): 228–235. https://doi.org/10.54386/jam.v23i2.73

Yue, S. and Wang, C. Y. (2002). Applicability of prewhitening to eliminate the influence of serial correlation on the Mann‐Kendall test. Water Resour. Res., 38(6):4-1.

Downloads

Published

01-06-2024

How to Cite

RAY, S. L., SAHU, A. P., PAUL, J. C., DAS, D. M., RAUL, S. K., & JENA, P. P. (2024). Application of innovative trend analysis for rainfall variability in the middle catchment of Mahanadi River basin, India. Journal of Agrometeorology, 26(2), 264–267. https://doi.org/10.54386/jam.v26i2.2542

Issue

Vol. 26 No. 2 (2024): June

Section

Short Communication

Categories

License

Copyright (c) 2024 SOUBHAGYA LAXMI RAY, AMBIKA PRASAD SAHU, JAGADISH CHANDRA PAUL, DWARIKA MOHAN DAS, SANJAY KUMAR RAUL, PRACHI PRATYASHA JENA

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

    Most read articles by the same author(s)