Authors :
Oghenekome Collins Ojoh; Moses Odigwe; Onyemenam, Prince Ike; Paul Odiyirin Boyitie
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/4ezzaeby
Scribd :
https://tinyurl.com/2d9kazy7
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV196
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The frequency and risk of flash floods in
Ozoro have increased due to climate change and intense
rainfall events. The territory was divided into five pre-
existing communities throughout the three-month
research period, which ran from July to September
2023. Measurements were made to ascertain the flood's
volume, area, length, and depth. Using a regular rain
gauge with a moveable geo-referenced device, rainfall
data was gathered. The rainfall total for July 2023
dropped to 6732.6 mm, and by September of the same
year, it further reduced to 1121.5mm. This resulted in a
flood that covered an area of 6435m2 and had a volume
of 14431.4m3
. The neighbourhood that experienced the
highest level of flooding was Oruamahdu Quarters, with
an average depth of 0.6 metres. The average rainfall
rate is 89.7 millimetres per hour, suggesting
heavy rainfall. The most return rainfall occurred in
July, while the least amount occurred in August. The
calculated F value of 77.34 indicates a substantial
correlation between the volume of rainfall and the flood
volume in Ozoro. Flood flow decreased at a rate of 11.57
m3/day over the study period. In Ozoro, the increasing
intensity of rainfall is responsible for 85.6% of floods.
To help city planners visualise the combined dangers of
floods and drainage, the rainfall intensity-duration-
frequency (IDF) curve should be employed as a metric
for climate adaptation.
Keywords :
Rainfall, Flood, Intensity, IDF, Ozoro.
References :
- Aich, T., Mahato, A., & Subedi, S. (2017). Cognitive Impairment in Schizophrenia: Current Perspective. Journal of Psychiatrists Association of Nepal, 5(1), 5–13. https://doi.org/10.3126/jpan.v5i1.18324
- Ajiboye, O., & Orebiyi, E. (2021). Assessment of socio-economic effects of flooding on selected communities of Anambra West Local Government Area, Southeast, Nigeria. GeoJournal, 87(5), 3575–3590. https://doi.org/10.1007/s10708-021-10400-x
- Bouwer, L. M. (2019). Observed and projected impacts from extreme weather events: implications for loss and damage. Loss and damage from climate change: Concepts, methods and policy options, 63-82.
- Chiadikobi, K.C., Omoboriowo, A.O., Chiaghanam, O.I., Opatola, A.O., & Oyebanji, O. (2011). Flood Risk Assessment of Port Harcourt, Rivers State, Nigeria, Advances in Applied Science Research, 2(6), 287-298.
- Ferreira, C. S. S., Potočki, K., Kapović-Solomun, M., & Kalantari, Z. (2021). Nature-Based Solutions for Flood Mitigation and Resilience in Urban Areas. In ˜The œhandbook of environmental chemistry (pp. 59–78). https://doi.org/10.1007/698_2021_758
- Liu, B., Tan, X., Gan, T. Y., Chen, X., Lin, K., Lu, M., & Liu, Z. (2020). Global atmospheric moisture transport associated with precipitation extremes: Mechanisms and climate change impacts. Wiley Interdisciplinary Reviews: Water, 7(2), e1412.
- Olanrewaju, R., Ekiotuasinghan, B., & Akpan, G. (2017). Analysis of rainfall pattern and flood incidences in Warri Metropolis, Nigeria. Geography, Environment, Sustainability, 10(4), 83-97.
- Ologunorisa, E.T., & Diagi, P.N. (2005). Extreme Rainfall and its Implication for Flood Frequency in the Western Niger Delta a Case Study of Warri. Nigerian Journal of Tropical Geography, 1, 57-62.
- Ologunorisa, T.E. & Tersoo, T. (2006). The Changing Rainfall Pattern and Its Implication for Flood Frequency in Makurdi, northern Nigeria. Journal Appl. Sci. Environ. Mgt., 10(3), 97-102.
- Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022b). The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8), 1271. https://doi.org/10.3390/land11081271
- Tran, V. N., Ivanov, V. Y., Huang, W., Murphy, K., Daneshvar, F., Bednar, J. H., Alexander, G. A., Kim, J., & Wright, D. B. (2024). Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems. Nature Cities, 1(10), 654–664. https://doi.org/10.1038/s44284-024-00116-7
- Van der Sande, C.J. (2003). A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment, International Journal of Applied Earth Observation and Geoinformation, 4, 217-229.
- Wang, J., Yi, S., Li, M., Wang, L., & Song, C. (2018). Effects of sea level rise, land subsidence, bathymetric change and typhoon tracks on storm flooding in the coastal areas of Shanghai. Science of the total environment, 621, 228-234.
- Wang, S., Xie, X., Wu, J., Wang, S., & Lv, L. (2024). Water quality constrained adjustment planning for regional breeding management with nonlinear programming model under uncertainty in Wenchang City, China. Heliyon, 10(16).
- Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., ... & Roberts, N. (2014). Future changes to the intensity and frequency of short‐duration extreme rainfall. Reviews of Geophysics, 52(3), 522-555.
- Wilby, R. L., & Keenan, R. (2012). Adapting to flood risk under climate change. Progress in physical geography, 36(3), 348-378.
The frequency and risk of flash floods in
Ozoro have increased due to climate change and intense
rainfall events. The territory was divided into five pre-
existing communities throughout the three-month
research period, which ran from July to September
2023. Measurements were made to ascertain the flood's
volume, area, length, and depth. Using a regular rain
gauge with a moveable geo-referenced device, rainfall
data was gathered. The rainfall total for July 2023
dropped to 6732.6 mm, and by September of the same
year, it further reduced to 1121.5mm. This resulted in a
flood that covered an area of 6435m2 and had a volume
of 14431.4m3
. The neighbourhood that experienced the
highest level of flooding was Oruamahdu Quarters, with
an average depth of 0.6 metres. The average rainfall
rate is 89.7 millimetres per hour, suggesting
heavy rainfall. The most return rainfall occurred in
July, while the least amount occurred in August. The
calculated F value of 77.34 indicates a substantial
correlation between the volume of rainfall and the flood
volume in Ozoro. Flood flow decreased at a rate of 11.57
m3/day over the study period. In Ozoro, the increasing
intensity of rainfall is responsible for 85.6% of floods.
To help city planners visualise the combined dangers of
floods and drainage, the rainfall intensity-duration-
frequency (IDF) curve should be employed as a metric
for climate adaptation.
Keywords :
Rainfall, Flood, Intensity, IDF, Ozoro.