Design Runoff Estimation Using an Efficient Rainfall Analysis Model for Low Data Available Catchment

Article Preview

Abstract:

The challenge of various methods of analysis of rainfall intensity for design runoff estimation is in the availability of data for the given area. This work aims to evaluate the use of the Intensity Duration and Frequency (IDF) method in design runoff estimation using a rainfall analysis model for low data catchment areas such as Nigeria. The source of the data for the study is the Nigerian Meteorological Agency, and it is for Lokoja, a city in the North Central Zone of the country. Analysis of the data compared to the annual and partial duration series for rainfall intensities at various return periods. Also analyzed was the daily rainfall data to determine the rainfall intensity for the different duration and return periods for the study area. From the analysis, partial duration series analysis offered better design estimates than the annual series. Also noted is the fact that the intensity of rainfall increases with a return period of a given duration. The work also indicates that frequency curves can be used to extrapolate rainfall intensity of a given duration for a longer period than years of record. The paper, therefore, presents a design intensity equation useful for the estimation runoff necessary for sustainable infrastructures such as in water utilization and controls.

You might also be interested in these eBooks

Info:

Pages:

29-36

Citation:

Online since:

September 2020

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2020 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] V. Te Chow, Handbook of Applied Hydrology. New York: McGraw Hill, (1964).

Google Scholar

[2] E. M. Shaw, K. J. Beven, N. A. Chappell, and R. Lamb, Hydrology in practice. CRC press, (2010).

Google Scholar

[3] B. U. Ngene, Rainfall Analysis for Estimating Design Runoff: Case Study of North Central Zone of Nigeria,, Unpublished M.Eng Project submitted to the Federal University of Technology,Owerri, (2000).

Google Scholar

[4] L. Oyebande, Deriving rainfall intensity-duration-frequency relationships and estimates for regions with inadequate data,, Hydrol. Sci. J., vol. 27, no. 3, p.353–367, (1982).

DOI: 10.1080/02626668209491115

Google Scholar

[5] G. I. Okonkwo and C. C. Mbajiorgu, Rainfall intensity-duration-frequency analysis for Southeastern Nigeria,, Agric. Eng. Int. CIGR J., vol. 12, no. 1, (2010).

Google Scholar

[6] A. S. Awofadeju, A. O. Akanni, T. A. Ojeleke, and A. A. Oguntayo, Development of Rainfall Intensity-Duration-Frequency Curves for South Western Nigeria,, Int. J. Eng. Technol., vol. 10, no. 4, p.373–379, (2018).

Google Scholar

[7] E. J. Gumbel, Statistical theory of extreme values and some practical applications: a series of lectures, vol. 33. US Government Printing Office, (1948).

Google Scholar

[8] P. F. Rasmussen, The POT method for flood estimation: a review,, Extrem. Values Flood Droughts, Stoch. Stat. Methods Hydrol. Environ. Eng., vol. 1, p.15–23, (1994).

Google Scholar

[9] K. B. Chang, S. H. Lai, and F. Othman, Comparison of Annual Maximum and Partial Duration Series for Derivation of Rainfall Intensity-Duration-Frequency Relationships in Peninsular Malaysia,, J. Hydrol. Eng., vol. 21, no. 1, p.05015013, Jan. (2016).

DOI: 10.1061/(asce)he.1943-5584.0001262

Google Scholar

[10] V. Agilan and N. V. Umamahesh, Non-Stationary Rainfall Intensity-Duration-Frequency Relationship: a Comparison between Annual Maximum and Partial Duration Series,, Water Resour. Manag., vol. 31, no. 6, p.1825–1841, Apr. (2017).

DOI: 10.1007/s11269-017-1614-9

Google Scholar

[11] C. F. A. Teixeira, R. de C. F. Damé, and J. L. C. Rosskoff, Intensity-duration-frequency ratios obtained from annual records and partial duration records in the locality of Pelotas - RS, Brazil,, Eng. Agrícola, vol. 31, no. 4, p.687–694, (2011).

DOI: 10.1590/s0100-69162011000400007

Google Scholar

[12] K. B. Chang, S. H. Lai, and O. Faridah, RainIDF: automated derivation of rainfall intensity–duration–frequency relationship from annual maxima and partial duration series,, J. Hydroinformatics, vol. 15, no. 4, p.1224–1233, Oct. (2013).

DOI: 10.2166/hydro.2013.192

Google Scholar

[13] J. C. I. Dooge, Walter Langbein and the emergence of scientific hydrology,, Water Resour. Res., vol. 32, no. 10, p.2969–2977, Oct. (1996).

DOI: 10.1029/96wr00273

Google Scholar

[14] W. B. Langbein and W. G. Hoyt, Water facts for the Nation's future: Uses and Benefits of Hydrologic Data program. New York: The Ronald Press Company, (1959).

Google Scholar

[15] H. U. Nwoke, I. L. Nwaogazie, and B. C. Okoro, Dimensional analysis in rainfall intensity modeling: A case of selected cities in south-eastern Nigeria,, Prime J. Phys. Sci., vol. 1, no. 2, p.24–27, (2012).

Google Scholar

[16] I. L. Nwaogazie and E. O. Duru, Developing Rainfall Intensity Duration-Frequency Models for Port Harcourt City,, NSE Tech. Trans., vol. 37, no. 2, (2002).

Google Scholar

[17] B. U. Ngene and N. Obianigwe, Nigerian Rain Gauge Station Optimization and National Development: The importance of HeadCount,, IOP Conf. Ser. Mater. Sci. Eng., vol. 413, no. 1, (2018).

DOI: 10.1088/1757-899x/413/1/012022

Google Scholar

[18] T. Dunne and L. B. Leopold, Water in Environmental Planning. New York: Wall H. Freeman and Company, (1978).

Google Scholar

[19] S. K. Garg, Hydrology and Water Resources Engineering. Nai Sarak Delhi, India: Khanna Publishers, (2005).

Google Scholar

[20] P. A. C. Okwuobi, Intensity Duration-frequency distribution for Benin-City,, Niger. Eng., (1979).

Google Scholar

[21] I. L. Nwaogazie, Probability and Statistics for Science and Engineering Practice, 3rd ed. Port-Harcourt, Nigeria: University of Port Harcourt Press, (2011).

DOI: 10.54117/ipsintelligentsiabooks/082021

Google Scholar