Development of Intensity Duration Frequency Curves for Wolkite Town

Moges Tariku Tegenu

doi:doi:10.11648/j.ijdst.20210704.12

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Development of Intensity Duration Frequency Curves for Wolkite Town

Moges Tariku Tegenu

Published in International Journal on Data Science and Technology (Volume 7, Issue 4)

Received: 1 November 2021 Accepted: 24 November 2021 Published: 24 December 2021

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Abstract

One of the major challenges faced by engineer and hydrologist is insufficient or non-availability of hydrological and meteorological data to appropriately design, operate and plan water resources against extreme rainfall event. Such data would be needed for the development of Rainfall _Intensity _Duration-Frequency (IDF) curves for design of culverts, ditches, storm drainage and different hydraulic structures in urban area systems. The main objectives of this paper is to compare and contrast the existed IDF Curve for the study area which is prepared by Ethiopian Road Authority and the one which is calculated and organized specifically for the town by this researchers, and to derive the IDF curve relationship of the rainfall data which is found in Wolkite metrological station of Ethiopia. This study analyzed the daily rainfall data collected from Ethiopian Meteorological Agency (EMA) Addis Ababa, for five (5) stations in the southern nation, nationalities and peoples of Ethiopia. But only one of the stations which founds in Wolkite towns has adequate daily rainfall recorded for about 33 years (1987-2019). The data was processed and analyzed using Microsoft Excel spread sheet to generate series of peak annual rainfall. The rainfall intensity values were calculated for different duration of (10-200) minutes to estimate returns period of (2, 5, 10, 20, 50, and 100 years) using Gumbel Distribution Methods and Log Pearsons III Distribution Methods. The R2 test was used to confirm the appropriateness of the fitted distributions for the locations the two distribution methods. The result shows that Gumbels distribution methods has larger R2 values and the best fit from the two distributions, and the two distribution methods deliver almost all similar results, however the Log Pearsons method has greater results than Gumbles distribution methods. The developed IDF curve delivers larger amount of intensity than that of IDF curve developed by ERA for similar time of duration in minutes. Finally IDF curves were developed for the towns and recommended for the design of storm drainage system.

Published in	International Journal on Data Science and Technology (Volume 7, Issue 4)
DOI	10.11648/j.ijdst.20210704.12
Page(s)	74-82
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.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Rainfall Intensity, Rainfall Duration, Time of Duration, IDF

References

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[2]	AllhHassoun, S. A., (2011). Developing an emperical formulea to estimate rainfall intensity in Riyadh Region. Journal of King Saudi University-Engineering Sciences.
[3]	Awofadeju A. S., A. A. (2018). Development of Rainfall Intensity-Duration-Frequency Curves for South Western Nigeria. International Journal of Engineering and Technology, 373-384.
[4]	Ben-Zvi, A. (2009). Rainfall Intensity-Duration-Frequency Relationships Derived from Large Partial Duration Series. Journal of Hydrology, 104-114.
[5]	Borga. M, V. F. (2005). A Regional Rainfall Depth_Duration _Frequance Equation for an Alpine Region. Department of Land and AgroForest Environments, University of Padova, Legnaro 35020, Italy, Vol. 36. pp. 221-235.
[6]	Claire, N. W. (2016). Analysis of Rainfall Intensity-Duration-Frequency Relationship for Rwanda. Journal of Water Resource and Protection, 706-723.
[7]	Dupont, B. A. (2006). Establishment of Intensity–Duration–Frequency Curves for Precipitation in the Monsoon Area of Vietnam. Kentucky Transportation Center, College of Engineer, University of Kentucky in corporation with US Department of Transportation.
[8]	Elsebaie, I. H. (2011). Developing rainfall intensity–duration–frequency relationship for two regions in Saudi Arabia. Journal of King Saud University – Engineering Sciences, 131-140.
[9]	ERA DDM. (2013). Ethiopian Road Authority Drainage Design Manual. Addis Ababa, Ethiopia.
[10]	Hadadin, N. A., (2005). Rainfall Intensity duration frequancy relationship in the mujab basin in Jordan. Journal of Applied science 8 (10), 1777-1784.
[11]	H. Elsebaie, I. (2012). Developing rainfall intensity–duration–frequency relationship for two regions in Saudi Arabia. Journal of King Saud University – Engineering Sciences, 131-140.
[12]	Islam, M. M. (Sep. 2015). Generation of Rainfall Intensity-Duration-Frequency Relationship for North-Western Region in Bangladesh. IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT), PP 41-47.
[13]	Nhat, L., Tachikawa, Y. and Takara, K. (2006). Derivation of Rainfall Duration Frequency Relationship for Short Duration Rainfall from Daily Rainfall. Proc. of Int.l Symp. on Managing Water Supplyfor Growing Demand, Technical Document in Hydrology, 6, 89-96.
[14]	Sule, A. W. (2009.). Establishment of rainfall Porc. intensity model for selected towns in Nigeria based on sherman equation in Proc. 1st Annual Civil Engineering Conference. University of Ilorin, Nigeria.
[15]	VenTeChow, D. R. (1988). Applied Hydrology. New York: McGRAW-HILL International Edition.
[16]	Wagesho, N. a. (2016). Analysis of Rainfall Intensity-Duration-Frequency Relationship for Rwanda. Journal of Water Resource and Protection, 8, 706-723.

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APA Style

Moges Tariku Tegenu. (2021). Development of Intensity Duration Frequency Curves for Wolkite Town. International Journal on Data Science and Technology, 7(4), 74-82. https://doi.org/10.11648/j.ijdst.20210704.12

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ACS Style

Moges Tariku Tegenu. Development of Intensity Duration Frequency Curves for Wolkite Town. Int. J. Data Sci. Technol. 2021, 7(4), 74-82. doi: 10.11648/j.ijdst.20210704.12

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AMA Style

Moges Tariku Tegenu. Development of Intensity Duration Frequency Curves for Wolkite Town. Int J Data Sci Technol. 2021;7(4):74-82. doi: 10.11648/j.ijdst.20210704.12

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@article{10.11648/j.ijdst.20210704.12,
  author = {Moges Tariku Tegenu},
  title = {Development of Intensity Duration Frequency Curves for Wolkite Town},
  journal = {International Journal on Data Science and Technology},
  volume = {7},
  number = {4},
  pages = {74-82},
  doi = {10.11648/j.ijdst.20210704.12},
  url = {https://doi.org/10.11648/j.ijdst.20210704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20210704.12},
  abstract = {One of the major challenges faced by engineer and hydrologist is insufficient or non-availability of hydrological and meteorological data to appropriately design, operate and plan water resources against extreme rainfall event. Such data would be needed for the development of Rainfall _Intensity _Duration-Frequency (IDF) curves for design of culverts, ditches, storm drainage and different hydraulic structures in urban area systems. The main objectives of this paper is to compare and contrast the existed IDF Curve for the study area which is prepared by Ethiopian Road Authority and the one which is calculated and organized specifically for the town by this researchers, and to derive the IDF curve relationship of the rainfall data which is found in Wolkite metrological station of Ethiopia. This study analyzed the daily rainfall data collected from Ethiopian Meteorological Agency (EMA) Addis Ababa, for five (5) stations in the southern nation, nationalities and peoples of Ethiopia. But only one of the stations which founds in Wolkite towns has adequate daily rainfall recorded for about 33 years (1987-2019). The data was processed and analyzed using Microsoft Excel spread sheet to generate series of peak annual rainfall. The rainfall intensity values were calculated for different duration of (10-200) minutes to estimate returns period of (2, 5, 10, 20, 50, and 100 years) using Gumbel Distribution Methods and Log Pearsons III Distribution Methods. The R2 test was used to confirm the appropriateness of the fitted distributions for the locations the two distribution methods. The result shows that Gumbels distribution methods has larger R2 values and the best fit from the two distributions, and the two distribution methods deliver almost all similar results, however the Log Pearsons method has greater results than Gumbles distribution methods. The developed IDF curve delivers larger amount of intensity than that of IDF curve developed by ERA for similar time of duration in minutes. Finally IDF curves were developed for the towns and recommended for the design of storm drainage system.},
 year = {2021}
}

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TY  - JOUR
T1  - Development of Intensity Duration Frequency Curves for Wolkite Town
AU  - Moges Tariku Tegenu
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijdst.20210704.12
DO  - 10.11648/j.ijdst.20210704.12
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 74
EP  - 82
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20210704.12
AB  - One of the major challenges faced by engineer and hydrologist is insufficient or non-availability of hydrological and meteorological data to appropriately design, operate and plan water resources against extreme rainfall event. Such data would be needed for the development of Rainfall _Intensity _Duration-Frequency (IDF) curves for design of culverts, ditches, storm drainage and different hydraulic structures in urban area systems. The main objectives of this paper is to compare and contrast the existed IDF Curve for the study area which is prepared by Ethiopian Road Authority and the one which is calculated and organized specifically for the town by this researchers, and to derive the IDF curve relationship of the rainfall data which is found in Wolkite metrological station of Ethiopia. This study analyzed the daily rainfall data collected from Ethiopian Meteorological Agency (EMA) Addis Ababa, for five (5) stations in the southern nation, nationalities and peoples of Ethiopia. But only one of the stations which founds in Wolkite towns has adequate daily rainfall recorded for about 33 years (1987-2019). The data was processed and analyzed using Microsoft Excel spread sheet to generate series of peak annual rainfall. The rainfall intensity values were calculated for different duration of (10-200) minutes to estimate returns period of (2, 5, 10, 20, 50, and 100 years) using Gumbel Distribution Methods and Log Pearsons III Distribution Methods. The R2 test was used to confirm the appropriateness of the fitted distributions for the locations the two distribution methods. The result shows that Gumbels distribution methods has larger R2 values and the best fit from the two distributions, and the two distribution methods deliver almost all similar results, however the Log Pearsons method has greater results than Gumbles distribution methods. The developed IDF curve delivers larger amount of intensity than that of IDF curve developed by ERA for similar time of duration in minutes. Finally IDF curves were developed for the towns and recommended for the design of storm drainage system.
VL  - 7
IS  - 4
ER  -

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Author Information

Moges Tariku Tegenu

Department of Hydraulic and Water Resources Engineering, College of Engineering and Technology, Wolkite University, Wolkite, Ethiopia

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APA Style

Moges Tariku Tegenu. (2021). Development of Intensity Duration Frequency Curves for Wolkite Town. International Journal on Data Science and Technology, 7(4), 74-82. https://doi.org/10.11648/j.ijdst.20210704.12

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ACS Style

Moges Tariku Tegenu. Development of Intensity Duration Frequency Curves for Wolkite Town. Int. J. Data Sci. Technol. 2021, 7(4), 74-82. doi: 10.11648/j.ijdst.20210704.12

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AMA Style

Moges Tariku Tegenu. Development of Intensity Duration Frequency Curves for Wolkite Town. Int J Data Sci Technol. 2021;7(4):74-82. doi: 10.11648/j.ijdst.20210704.12

Copy | Download

@article{10.11648/j.ijdst.20210704.12,
  author = {Moges Tariku Tegenu},
  title = {Development of Intensity Duration Frequency Curves for Wolkite Town},
  journal = {International Journal on Data Science and Technology},
  volume = {7},
  number = {4},
  pages = {74-82},
  doi = {10.11648/j.ijdst.20210704.12},
  url = {https://doi.org/10.11648/j.ijdst.20210704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20210704.12},
  abstract = {One of the major challenges faced by engineer and hydrologist is insufficient or non-availability of hydrological and meteorological data to appropriately design, operate and plan water resources against extreme rainfall event. Such data would be needed for the development of Rainfall _Intensity _Duration-Frequency (IDF) curves for design of culverts, ditches, storm drainage and different hydraulic structures in urban area systems. The main objectives of this paper is to compare and contrast the existed IDF Curve for the study area which is prepared by Ethiopian Road Authority and the one which is calculated and organized specifically for the town by this researchers, and to derive the IDF curve relationship of the rainfall data which is found in Wolkite metrological station of Ethiopia. This study analyzed the daily rainfall data collected from Ethiopian Meteorological Agency (EMA) Addis Ababa, for five (5) stations in the southern nation, nationalities and peoples of Ethiopia. But only one of the stations which founds in Wolkite towns has adequate daily rainfall recorded for about 33 years (1987-2019). The data was processed and analyzed using Microsoft Excel spread sheet to generate series of peak annual rainfall. The rainfall intensity values were calculated for different duration of (10-200) minutes to estimate returns period of (2, 5, 10, 20, 50, and 100 years) using Gumbel Distribution Methods and Log Pearsons III Distribution Methods. The R2 test was used to confirm the appropriateness of the fitted distributions for the locations the two distribution methods. The result shows that Gumbels distribution methods has larger R2 values and the best fit from the two distributions, and the two distribution methods deliver almost all similar results, however the Log Pearsons method has greater results than Gumbles distribution methods. The developed IDF curve delivers larger amount of intensity than that of IDF curve developed by ERA for similar time of duration in minutes. Finally IDF curves were developed for the towns and recommended for the design of storm drainage system.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Development of Intensity Duration Frequency Curves for Wolkite Town
AU  - Moges Tariku Tegenu
Y1  - 2021/12/24
PY  - 2021
N1  - https://doi.org/10.11648/j.ijdst.20210704.12
DO  - 10.11648/j.ijdst.20210704.12
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 74
EP  - 82
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20210704.12
AB  - One of the major challenges faced by engineer and hydrologist is insufficient or non-availability of hydrological and meteorological data to appropriately design, operate and plan water resources against extreme rainfall event. Such data would be needed for the development of Rainfall _Intensity _Duration-Frequency (IDF) curves for design of culverts, ditches, storm drainage and different hydraulic structures in urban area systems. The main objectives of this paper is to compare and contrast the existed IDF Curve for the study area which is prepared by Ethiopian Road Authority and the one which is calculated and organized specifically for the town by this researchers, and to derive the IDF curve relationship of the rainfall data which is found in Wolkite metrological station of Ethiopia. This study analyzed the daily rainfall data collected from Ethiopian Meteorological Agency (EMA) Addis Ababa, for five (5) stations in the southern nation, nationalities and peoples of Ethiopia. But only one of the stations which founds in Wolkite towns has adequate daily rainfall recorded for about 33 years (1987-2019). The data was processed and analyzed using Microsoft Excel spread sheet to generate series of peak annual rainfall. The rainfall intensity values were calculated for different duration of (10-200) minutes to estimate returns period of (2, 5, 10, 20, 50, and 100 years) using Gumbel Distribution Methods and Log Pearsons III Distribution Methods. The R2 test was used to confirm the appropriateness of the fitted distributions for the locations the two distribution methods. The result shows that Gumbels distribution methods has larger R2 values and the best fit from the two distributions, and the two distribution methods deliver almost all similar results, however the Log Pearsons method has greater results than Gumbles distribution methods. The developed IDF curve delivers larger amount of intensity than that of IDF curve developed by ERA for similar time of duration in minutes. Finally IDF curves were developed for the towns and recommended for the design of storm drainage system.
VL  - 7
IS  - 4
ER  -

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