By Ajumobi, VE, Womboh, SB; Ezem, SB (2023).

Greener Journal of Environment Management and Public Safety

ISSN: 2354-2276

Vol. 11(1), pp. 1-6, January, 2023

Copyright ©2023, the copyright of this article is retained by the author(s)

https://gjournals.org/GJEMPS

 

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Impacts of the 2022 Flooding on the Residents of Yenagoa, Bayelsa State, Nigeria.

 

 

*1Ajumobi, Victor Emeka; 2Womboh, SooveBenki; 3Ezem, Sebhaziba Benjamin

 

 

1 Department of Microbiology, Bayelsa Medical University, Yenagoa, Bayelsa State, Nigeria.

Email: victor.ajumobi@ bmu.edu.ng, ORCID: https://orcid.org/0000-0002-0175-6665

 

2SamJosh Best Brains International Academy, Makurdi, Benue State, Nigeria.

Email: donbounssoove@ gmail.com, ORCID:https://orcid.org/0000-0002-7819-3645

 

3Department of Microbiology, Bayelsa Medical University, Yenagoa, Bayelsa State, Nigeria.

Email: bensebh@ gmail.com, ORCID:  https://orcid.org/0000-0001-8074-4971

 

 

 

ARTICLE INFO

ABSTRACT

 

Article No.:122422109

Type: Research

Full Text: PDF, HTML, PHP, EPUB

 

The impacts of the 2022 flooding on the residents of Yenagoa, Bayelsa State, Nigeria were investigated in this study Questionnaires and personal interviews (Primary data) were used for data collection. Five communities in Yenagoa were selected via simple random sampling and included Swali, Opolo, Tombia, Akenfa and Agudama. A total of 780 questionnaires were administered out of which 720 were retrieved. Respondents claimed that beds (68.8%), rugs (62.6%), chairs (56.7%), radios (53.9%), refrigerators (53.5%), television (51.1%), tables (35.6%) and other properties (36.5%) were damaged due to the flooding; 98.8%, 97.8% and 94.9% of the respondents who use rivers, open wells and boreholes respectively as their drinking water source were also affected. Building collapse and loss of farm produce was claimed by 71% and 77% of the respondents respectively. The respondents implicated diarrhea (38.5%), malaria (29.6%), cough (17.3%) and measles (14.6%) as the diseases that occurred during the flooding. The impacts of the 2022 flooding in Yenagoa were extensive, as such; government should implement measures to mitigate future occurrences.

 

Accepted:  26/12/2022

Published: 10/01/2023

 

*Corresponding Author

Ajumobi, Victor Emeka

E-mail: victor.ajumobi@ bmu.edu.ng

 

Keywords: Impacts, 2022 Flooding, Residents, Yenagoa, Nigeria.

 

 

 

 

 


INTRODUCTION

 

Many definitions of flood have been presented over time. An account by Bradshaw (2007) defined flood as an overflow of water bodies such as rivers and lakes from its natural boundaries submerging the land. Flooding is excess water flowing unto dry land (Djimesah et al., 2018). According to Henry (2006), the European Union (EU) floods directive defined flood as a large volume of water covering land. Flood is a natural occurrence that passes through its usual channels but it becomes a problem when humans occupy the space required by the floodwaters to move (Sarah, 2007).

The frequency of natural disasters has been on the rise for years resulting in loss of life, damage to properties and destruction of the environment. Flooding is one of the most devastating environmental disasters that threaten the world. It has claimed more lives than any other single natural disaster (Komolafe et al., 2015).Globally, over 70 million people are exposed to flooding each year and over 800 million people live in flood prone areas (Peduzzi et al., 2009), resulting in great losses and disruption of social activities (James, 2000).Poor people in developing countries reside in flood plains and steep hills with little access to resources making them more vulnerable to the flood (Grunfest, 1995). The poverty levels also affect their flood recovery process. In Nigeria, flood has been a common occurrence. The country has experienced three prominent flood incidences in 2012, 2018 and presently 2022 (Umar et al., 2022). The 2012 flood in Nigeria was devastating. The heavy rains made water reservoirs and dams to overflow leading to loss of lives and property. Over 7.7 million people were affected by the floods, about 363 people were killed and 600,000 houses destroyed. The floods caused Oke-Ayo and Eleyele residents of Ibadan to leave their homes. Some lives were lost and properties damaged at Olodo and Apete areas of Ibadan (Onifade et al., 2014). In Plateau State, 39 people were killed and about 200 houses were destroyed as a result of the flooding (Onifade et al., 2014).The federal government of Nigeria stated that about 603 people have been killed and 2.5 million people displaced from their homes in the current 2022 flooding across the country.  The Ministry of Humanitarian Affairs, Disaster Management and Social Development further revealed that about 82,053 houses were completely destroyed, and 332, 327 hectares of land completely submerged. Other statistics show the number of injuries as 2,407, partially destroyed houses totaled 121,318, and farmland partially affected was 108,392.

Flooding in Nigeria occurs in three forms; coastal flooding, river flooding and urban flooding also called flash floods. Coastal flooding occurs in the low-lying belt of mangrove and fresh water swamps along the coast. River flooding occurs in the flood plains of the larger rivers while urban flooding is linked with rivers in the inland areas. It is often short-lived and the sudden heavy rains in the inland areas can change them into a destructive torrent (Scott, 2007). Many factors are responsible for flooding which include; dumping of refuse in water bodies (David, 2004), constructing buildings on flood plains and poor maintenance of drainage facilities (Ajayi, 2012).Removal of vegetation, increase in the size of water channel and increase in erosion also contribute to flooding. Flooding can also be caused by excess rainfall when the absorption capacity of the soil is exceeded (Tramblay et al., 2021). Other causes of flooding include; climate change, excessive precipitation, rise in sea level and increase in population (MacLeod et al., 2021).

Flooding has many extreme negative social, economic and environmental impacts (Apan et al., 2010). Some of the negative impacts of flooding include; damage to properties, crops and livestock, loss of human life, health problems, damage to roads, bridges, and power plants. There is also disruption of economic activities and livelihoods of victims (Ajayi, 2012). Despite these negative impacts of flooding, it still has some important role to play in the environment. It recharges groundwater systems, fills wetlands, moves nutrients around the ecosystem, increases fishing activities and triggers dispersal, migration and breeding (Jeffrey, 2010; Iwena, 2015).Mitigating flood disasters can be achieved through improved drainage systems, construction of flood breaks and preventing land owners from constructing permanent or temporal structures on water channels (Goldenburg, 2009; Jeffrey, 2010).This study is aimed at accessing the impacts of the 2022 flooding on the residents of Yenagoa metropolis, Bayelsa State, Nigeria.

 

 

RESEARCH METHODOLOGY

 

Primary and secondary data were used in this study. Primary data was collected with the use of questionnaire and personal interview to acquire information on the impacts of the 2022 flood from the residents of the affected areas in Yenagoa metropolis, Bayelsa State. The questionnaires were administered to sampled households in Yenagoa using random sampling technique with the head of each house or the next of kin been the respondent.

Simple random sampling technique was used to select five communities in Yenagoa metropolis namely; Swali, Opolo, Tombia, Akenfa and Agudama. Our preliminary studies revealed Swali community has a total of 1285 households, Opolo community has 1525 households, Tombia community has 2346 households, Akenfa community has 1651 households and Agudama community has 975 households. The administration of the questionnaires was done using 10%of the total households in each community. As such; 129, 153, 235, 165 and 98 questionnaires were administered to respondents in Swali, Opolo, Tombia, Akenfa and Agudama respectively. The total number of administered questionnaires was 780 out of which 720 questionnaires were retrieved (Wizor et al., 2014).

 

 

RESULTS

 

Of all the respondents, 68.8% agreed that their beds were damaged by the flooding, 62.6% agreed on rugs and 56.7% on chairs. The result presented in Table 1 clearly revealed that televisions, radios, chairs, tables, beds, refrigerators, rugs and other properties were damaged by the flood.

As presented in Table 2, the open wells and boreholes of 97.8% and 94.9% of the respondents respectively, were affected by the flooding. Only 0.8% of those who had closed wells were affected.

Figure 1 revealed that the flooding caused the buildings of 71% of the respondents to collapse while that of 29% remained standing (unaffected).

The loss of farm produce caused by the flooding as presented in Figure 2 showed that 77% of the total respondents lost their produce to the flood while 23% of them were unaffected.

Figure 3 revealed 38.5% of the respondents suffered diarrhea during the flooding while 29.6% had malaria.

 


 

 

Table 1:Impact of Flooding on Property

 


Property           Yes                              No                                No Response                Total

                       

Freq     Per                   Freq     Per                   Freq     Per                   Freq     Per

 


Television         368       51.1                  272       37.8                  80         11.1                  720       100

Radio               388       53.9                  181       25.1                  151       21.0                  720       100

Chairs               408       56.7                  219       30.4                  93         12.9                  720       100

Tables              256       35.6                  241       33.5                  223       31.0                  720       100

Bed                  495       68.8                  123       17.1                  102       14.2                  720       100

Fridge               385       53.5                  209       29.0                  126       17.5                  720       100

Rug                  451       62.6                  181       25.1                  088       12.2                  720       100

Others              263       36.5                  32         4.4                    425       59.0                  720       100

Key:                 Freq = Frequency, Per = Percentage

Source:            Authors’ Field Survey (2022)

 

 

Table 2: Impact of Flooding on Sources of Drinking Water

 


Source             Yes                              No                                No Response                Total

 

 


Freq     Per                   Freq     Per                   Freq     Per                   Freq     Per

 


Open Well         704       97.8                  nil         nil                     16         2.2                    720       100

Closed Well      6          0.8                    705       97.9                  9          1.3                    720       100

Borehole           683       94.9                  nil         nil                     37         5.1                    720       100

River                 711       98.8                  nil         nil                     9          1.3                    720       100

 

Key:                 Freq = Frequency, Per = Percentage

Source:            Authors’ Field Survey (2022)

 

 

Figure 1:          Impact of the Flooding on Buildings

Source:            Authors’ Field Survey (2022)

 

 

Figure 2:          Loss of Farm Produce during the Flood

Source:            Authors’ Field Survey (2022)

           

 

Figure 3:          Impact of the Flooding on Health

Source:            Authors’ Field Survey (2022)

 

 

 


DISCUSSION OF FINDINGS

 

The impacts of the 2022 flooding on the residents of Yenagoa, Bayelsa State, Nigeria was severe. Properties such as televisions, radios, chairs, tables, beds, refrigerators and rugs were damaged. From the findings, beds and rugs were the most affected probably because they easily take up and retain water (Table 1).

The drinking water sources of the residents were also affected (Table 2). Those who depend on rivers, open wells and boreholes felt the most impact because these water sources were unprotected and exposed. As such; the water was prone to contamination and infiltration by the flood carrying a lot of dissolved and undissolved contaminants, pathogens inclusive (Ten Veldhuis et al., 2010). The flooding only affected 0.8% of the respondents who use closed wells as their water source because the wells were protected.

The buildings of most respondents (71%) collapsed as a result of the flooding (Figure 1); implying that they would have to relocate to dry grounds pending renovation of the buildings after the flood resides. This must have placed much stress on the affected residents because of the hike in the cost of rented apartments and transportation during the period of the flooding. The damage of farm produce caused by the flooding (Figure 2) also resulted to a serious hike in food prices. Douglas et al. (2005) also implicated flooding as the cause of widespread crop damage.

These findings collaborates the reports of Ajayi (2012) who asserted that flood damage resulted to loss of life, damage to property, destruction of crops and deterioration of health conditions. The common health issues experienced during the flooding include; diarrhea, measles, cough and malaria (Figure 3). The most common among the respondents was diarrhea (48.5%) meaning the affected respondents must have consumed flood contaminated water or food. This further confirms the findings in Table 2 where the contamination of the drinking water sources was attributed to the flooding. Hakim et al. (2014) also implicated diarrhea in his studies; as a common health challenge that occurs during flooding.

 

 

CONCLUSION

 

The impacts of the 2022 flooding on property, drinking water sources, buildings, farm produce and health were severe. Many people left their homes and properties were destroyed. Damage to crops led to a hike in food prices. The disease outbreak during the flood included diarrhea, measles, cough and malaria, the most common of which was diarrhea. Majority of the respondents agreed that their drinking water sources were also contaminated by the flood.

It is recommended that government should implement flood preventive measures so as to reduce its impact on the residents of Yenagoa, Bayelsa State, Nigeria.

 

 

Acknowledgement

 

The authors wish to thank the respondents for their cooperation.

 

 

Competing interest

 

The authors declare no competing interests.

 

 

REFERENCES

 

Ajayi, O., Agboola, S. B., and Olokesusi, B. F. (2012).Hydrology for disaster management.Special publication of the Nigerian Association of Hydrological Sciences.Retrieved in December 2012 from http://www.unaab.edu.ng.

Apan, A., Keogh, D. U, King, D, Thomas, M, Mushtaq, S and Baddiley, P.( 2010). The 2008 floods in Queensland: a case study of vulnerability, resilience and adaptive capacity.Report for the National Climate Change Adaptation Research Facility, Gold Coast. (http://www.nccarf.edu.au/node/216).

Bradshaw, C. J., Sodhi, N. S., PEH, K. S. H., and Brook, B. W. (2007). Global evidence that deforestation amplifies flood risk and severity in the developing world. Global Change Biology13(11), 2379-2395.

‘David, A. (2004). Flood: The Oxford Companion to World Mythology. Oxfordreference.com. Retrieved 17 September 2010.

Djimesah, I. E., Okine, A. N. D., and Mireku, K. K. (2018). Influential factors in creating warning systems towards flood disaster management in Ghana: An analysis of 2007 Northern flood. International journal of disaster risk reduction28, 318-326.

Douglas, M. M., Bunn, S. E and Davies, P. M. (2005). River and wetland food webs in Australia’s wet-dry tropics: general principles and implications for management’, Marine and Freshwater Research, 56 (3): 329-342. http://www.publish.csiro.au/nid/126/paper/MF04084.htm)

Goldenburg, S. (2009). US urged to abandon ageing flood defences in favour of Dutch system. The Guardian5.

Grunfest, E. (1995, November). Long term social and economic impacts of extreme floods.In US-Italy Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods, Perugia, Italy.

Hakim, S. T., Afaque, F., Javed, S., Kazmi, S. U., andNadeem, S. G. (2014). Microbial agents responsible for diarrheal infections in flood victims: a study from Karachi, Pakistan. Open Journal of Medical Microbiology2014.

Henry, P. (2006). Levees and other raised ground. American scientist94(1), 7-11.

Iwena, O. A. (2015). Essential geography for senior secondary schools.Tonad Publishers Limited.

James, M. W. (2000). The nation’s responses to flood disasters: An historical account by the association of state of floodplain manager. U.S.A Paul Osmanllinois Publication.

Jeffrey, H. J. (2010). Paris under water: How the city of light survived the great flood of 1910. New York: Palgrave Macmillan.

Komolafe, A.A., Adegboyega, S.A., and Akinluyi, F.O., (2015).A review of flood risk analysis in Nigeria.American Journal of Environmental Sciences 11(3), 157–166. doi: 10.3844/ ajessp.2015.157.166.

MacLeod, D. A., Dankers, R., Graham, R., Guigma, K., Jenkins, L., Todd, M. C. and Mwangi, E. (2021). Drivers and subseasonal predictability of heavy rainfall in equatorial East Africa and relationship with flood risk. Journal of Hydrometeorology22(4), 887-903.

Onifade, O. A., Adio-Moses, R. O., Adigun, J. O., Oguntunji, I. O., andOgungboye, R. O. (2014). Impacts of flood disaster on sustainable National Development in Ibadan north local government, Oyo state.

Peduzzi, P., Dao, H., Herold, C., and Mouton, F. (2009).Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Natural hazards and earth system sciences9(4), 1149-1159.

Sarah, H. (2007). Noah's flood kick-started European farming.University of Exeter.Retrieved on 10th September, 2010.

Scott, C. (2007). Did a comet cause the great flood? Discover Magazine. Retrieved 17 September 2010.

Ten Veldhuis, J. A. E., Clemens, F. H. L. R., Sterk, G., andBerends, B. R. (2010). Microbial risks associated with exposure to pathogens in contaminated urban flood water. Water research44(9), 2910-2918.

Tramblay, Y., Villarini, G., El Khalki, E. M., Gründemann, G., and Hughes, D. (2021).Evaluation of the drivers responsible for flooding in Africa. Water Resources Research57(6), e2021WR029595.

Umar, N., and Gray, A. (2022). Flooding in Nigeria: a review of its occurrence and impacts and approaches to modelling flood data. International Journal of Environmental Studies, 1-22.

Wizor, C. H., and Week, D. A. (2014). Impact of the 2012 Nigeria flood on emergent cities of Nigeria: The case of Yenagoa, Bayelsa State. Civil and Environmental Research6(5), 31-40.

 


 

Cite this Article: Ajumobi, VE, Womboh, SB; Ezem, SB (2023). Impacts of the 2022 Flooding on the Residents of Yenagoa, Bayelsa State, Nigeria. Greener Journal of Environmental Management and Public Safety, 11(1): 1-6.