The frequency of recurrence of observed distributions is crucial in frequency analysis of hydrologic data for the purpose of plotting observed data, often known as "plotting positions." The appropriate determination of plotting positions has consistently been a contentious topic of conversation. Throughout time, a variety of methods for computing plotting positions have been presented. Through error statistics such as Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), eight plotting position functions, which involves Hazen, California, Weibull, Beard, Chegodayev, Blom, Gringorten, and Cunnane, have been evaluated in this study for whether they could accurately estimate the magnitudes of annual and seasonal rainfall at Gariyaband district in Chhattisgarh state. Rankings are given to the methods for plotting position based on the that comes before error statistics. In accordance with an evaluation of the effectiveness of different plotting positions investigated in the study in terms of best estimation of magnitudes of seasonal and annual rainfall at Gariyaband District, Chhattisgarh, it is observed that the Cunnane method achieves the overall ranking "1," followed by the Gringorten method. Subsequently, the Cunnane technique is suggested as the best plotting position formula in frequency analysis of hydrologic data in Gariyaband District of Chhattisgarh State.
| Published in | Journal of Water Resources and Ocean Science (Volume 13, Issue 1) |
| DOI | 10.11648/j.wros.20241301.11 |
| Page(s) | 1-5 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Rainfall, Chhattisgarh, Plotting Position, Rainfall Analysis, Frequency Analysis
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APA Style
Deo, R. K., Sinha, B. L., Sharma, K. K. (2024). Ranking of Plotting Position Formula in Frequency Analysis of Annual and Seasonal Rainfall at Gariyaband, Chhattisgarh. Journal of Water Resources and Ocean Science, 13(1), 1-5. https://doi.org/10.11648/j.wros.20241301.11
ACS Style
Deo, R. K.; Sinha, B. L.; Sharma, K. K. Ranking of Plotting Position Formula in Frequency Analysis of Annual and Seasonal Rainfall at Gariyaband, Chhattisgarh. J. Water Resour. Ocean Sci. 2024, 13(1), 1-5. doi: 10.11648/j.wros.20241301.11
AMA Style
Deo RK, Sinha BL, Sharma KK. Ranking of Plotting Position Formula in Frequency Analysis of Annual and Seasonal Rainfall at Gariyaband, Chhattisgarh. J Water Resour Ocean Sci. 2024;13(1):1-5. doi: 10.11648/j.wros.20241301.11
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Download@article{10.11648/j.wros.20241301.11,
author = {Rajendra Kumar Deo and Bhuwan Lal Sinha and Kamal Kishor Sharma},
title = {Ranking of Plotting Position Formula in Frequency Analysis of Annual and Seasonal Rainfall at Gariyaband, Chhattisgarh},
journal = {Journal of Water Resources and Ocean Science},
volume = {13},
number = {1},
pages = {1-5},
doi = {10.11648/j.wros.20241301.11},
url = {https://doi.org/10.11648/j.wros.20241301.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20241301.11},
abstract = {The frequency of recurrence of observed distributions is crucial in frequency analysis of hydrologic data for the purpose of plotting observed data, often known as "plotting positions." The appropriate determination of plotting positions has consistently been a contentious topic of conversation. Throughout time, a variety of methods for computing plotting positions have been presented. Through error statistics such as Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), eight plotting position functions, which involves Hazen, California, Weibull, Beard, Chegodayev, Blom, Gringorten, and Cunnane, have been evaluated in this study for whether they could accurately estimate the magnitudes of annual and seasonal rainfall at Gariyaband district in Chhattisgarh state. Rankings are given to the methods for plotting position based on the that comes before error statistics. In accordance with an evaluation of the effectiveness of different plotting positions investigated in the study in terms of best estimation of magnitudes of seasonal and annual rainfall at Gariyaband District, Chhattisgarh, it is observed that the Cunnane method achieves the overall ranking "1," followed by the Gringorten method. Subsequently, the Cunnane technique is suggested as the best plotting position formula in frequency analysis of hydrologic data in Gariyaband District of Chhattisgarh State.
},
year = {2024}
}
TY - JOUR T1 - Ranking of Plotting Position Formula in Frequency Analysis of Annual and Seasonal Rainfall at Gariyaband, Chhattisgarh AU - Rajendra Kumar Deo AU - Bhuwan Lal Sinha AU - Kamal Kishor Sharma Y1 - 2024/01/08 PY - 2024 N1 - https://doi.org/10.11648/j.wros.20241301.11 DO - 10.11648/j.wros.20241301.11 T2 - Journal of Water Resources and Ocean Science JF - Journal of Water Resources and Ocean Science JO - Journal of Water Resources and Ocean Science SP - 1 EP - 5 PB - Science Publishing Group SN - 2328-7993 UR - https://doi.org/10.11648/j.wros.20241301.11 AB - The frequency of recurrence of observed distributions is crucial in frequency analysis of hydrologic data for the purpose of plotting observed data, often known as "plotting positions." The appropriate determination of plotting positions has consistently been a contentious topic of conversation. Throughout time, a variety of methods for computing plotting positions have been presented. Through error statistics such as Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), eight plotting position functions, which involves Hazen, California, Weibull, Beard, Chegodayev, Blom, Gringorten, and Cunnane, have been evaluated in this study for whether they could accurately estimate the magnitudes of annual and seasonal rainfall at Gariyaband district in Chhattisgarh state. Rankings are given to the methods for plotting position based on the that comes before error statistics. In accordance with an evaluation of the effectiveness of different plotting positions investigated in the study in terms of best estimation of magnitudes of seasonal and annual rainfall at Gariyaband District, Chhattisgarh, it is observed that the Cunnane method achieves the overall ranking "1," followed by the Gringorten method. Subsequently, the Cunnane technique is suggested as the best plotting position formula in frequency analysis of hydrologic data in Gariyaband District of Chhattisgarh State. VL - 13 IS - 1 ER -
Department of Soil and Water Engineering, Indira Gandhi Krishi Vishvavidyalaya, Raipur, Chhattisgarh, India
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