Weighted Linear Combination Procedures with GIS and Remote Sensing in Flood Vulnerability Analysis of Abeokuta Metropolis in Nigeria

Oyedepo, John A.; Adegboyega, J.; Oluyege, D.E.

doi:10.36263/nijest.2021.01.0260

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…The subbasins with less temporal runoff difference were relatively less disturbed (sub-basin W820) than the sub-basins with obvious temporal runoff differences, suggesting that built-up areas recorded more discharges than the less disturbed regions. An evaluation of land use/land cover changes around the Ogun River basin within the study period has suggested a steeper hydrograph in 2018 than in 2010; a condition that points at increased propensity to floods in a later period (see, e.g., Adelekan, 2011;Oyedepo et al, 2021).…”

Section: Changes In Average Runoff Conditionmentioning

confidence: 99%

An Evaluation of the Impact of Urban Growth on Runoff in Abeokuta, Southwestern Nigeria

Ologunorisa,

Eludoyin,

Bayonle

2023

JGAt

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Abeokuta is one of the urban areas in Nigeria with high cases of runoff fatalities in recent times, indicating the need for a proper understanding of prominent runoff-generating mechanisms, as well as the causative factors. Consequently, this paper, which is focused on flood-prone settlements, is aimed at providing information on the impact of change in urban land use on runoff in the study area. The specific objectives were to determine the change in average runoff in terms of the Soil Conservation Service Curve Number (SCN-CN), and to assess the impact of urban growth on runoff in the area. The SCN-CN was derived from the 30m spatial Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM). At the same time, land cover change was estimated using Landsat TM+ from 2000 and Landsat 8 OLI from 2018. Data were analysed using the Hydrologic Engineering Centre’s Hydrologic Modelling System (HEC-HMS) and ArcGIS (version 10.1). The results showed a 14% increase (from 39% in 2000 to 53% in 2018) in urban areas of selected catchments; and a relative increase in average CN from 76.9 units in 2000 to 79.9 units in 2018, suggesting an increase in runoff potential relative to the increase in urban/impermeable space in the catchment. Annual discharge depth increased from 891.84mm to 956.9mm, while peak discharge increased from 161.9m3 /s to 196.2m3 /s. Runoff in the study area tends to exhibit spatial variability that is similar to the pattern exhibited by built-up areas across the study area, suggesting that the development of built-up areas can explain runoff exacerbation in part of the area. The use of SCN-CN and satellite images makes the approach reproducible, and the mixed methods of geographic information system and hydrological model revealed the spatial variability typically hidden in stand-alone hydrological models. The paper recommends further studies with the use of less coarse datasets, as well as the implementation of policies that focus on sustainable urban growth in the region, and other cities.

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Section: Changes In Average Runoff Conditionmentioning

confidence: 99%

An Evaluation of the Impact of Urban Growth on Runoff in Abeokuta, Southwestern Nigeria

Ologunorisa,

Eludoyin,

Bayonle

2023

JGAt

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“…Dengan menganalisis berbagai kriteria seperti curah hujan, topografi, penggunaan lahan, dan sebagainya, MCA dapat membantu menentukan variabel-variabel yang paling berpengaruh dalam menyebabkan banjir. Oyedepo et al, (2021) berpendapat bahwa MCA dapat membantu mengintegrasikan berbagai perspektif dalam analisis banjir. Karena banjir mempengaruhi berbagai aspek kehidupan, seperti kesehatan, ekonomi, dan lingkungan, MCA dapat membantu menggabungkan berbagai perspektif dan kepentingan dalam proses pengambilan keputusan.…”

Section: Pendahuluanunclassified

Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA)

Philia

Septory²,

Somae³

et al. 2023

JPWK

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Kecamatan Sirimau merupakan salah satu kecamatan di Kota Ambon yang sering terjadi banjir. Salah satu upaya awal untuk mitigasi bencana banjir yaitu dengan memetakan daerah rawan banjir di Kecamatan Sirimau. Penelitian ini bertujuan untuk memodelkan daerah rawan banjir Di Kecamatan Sirimau menggunakan metode Multi-Criteria Analysis (MCA). Variabel-variabel penyebab banjir yang digunakan yaitu kemiringan lereng, ketinggian, penggunaan lahan, buffer sungai, jenis tanah dan curah hujan yang kemudian dilakukan overlay menggunakan metode Multi-Criteria Analysis (MCA). Bahaya banjir di Kecamatan Sirimau dibagi menjadi tiga kelas yaitu kelas tinggi yang memiliki luas 540,09 ha atau 14,59%, kelas sedang seluas 1.607,14 ha atau 43,41% dan kelas rendah seluas 1.555,34 ha atau sebesar 42,01%. Daerah permukiman yang terdampak banjir di Kecamatan Seirmau berada pada kelas sedang seluas 660,16 ha (58,20 %) dan kelas tinggi yaitu seluas 474,21 ha atau sebesar 41,80 %. Desa yang memiliki presentasi luasan bahaya banjir terbesar pada setiap kelas bahaya banjir yaitu Desa Batu Merah. Hasil penelitian ini diharapkan dapat membantu pemerintah dan masyarakat setempat untuk metigasi bencana banjir kedepannya.

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“…Abeokuta, the capital of Ogun State in the southwest, depicts a typical developing urban city in Nigeria. The city spreads across ve Local Government areas (Abeokuta North, Abeokuta South, Obafemi Owode, Ewekoro, and Odeda) with a population of 593,140 (Oyedepo et al, 2021). Abeokuta enjoys a tropical climate, distinct wet and dry seasons, and a dry to a wet period of about 130 to 200 days.…”

Section: The Context and Study Areamentioning

confidence: 99%

Water quality, WASH, and gender: differential impacts on health and well-being in Abeokuta City, Nigeria

Oluwasanya,

Omoniyi,

Perera

et al. 2023

Environ Monit Assess

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It is often assumed that humans experience the effect of poor water quality like multiple health and socioeconomic impacts in the same way. But these impacts are not gender-neutral due to inequalities caused by physiological composition, age marginalization, and socioeconomic conditions, among others.We analyzed the intersections between water quality and gender and applied a mixed-method approach in collecting local-speci c data and information. The assessment shows that without point-of-use water treatment, the water sources in the area are not safe for potable purposes, as the waters are hard in the sequence of borehole > surface water > hand-dug well > sachet water, with elevated levels of calcium (> 75mg/L) and not free from microbial contamination. Among the area population segments, men and boys (relative to women and girls) are more susceptible (55%) to the compounding health effects associated with the hardness and high calcium concentration in water. Girls are the most affected by the associated impacts of water collection. Men and boys are more vulnerable to the consequences of poor hygiene, while women are more susceptible to the health effects of toilet cleaning and sharing of sanitation facilities. Though most women and girls prefer disposable sanitary pads, women change more frequently and practice better menstrual hygiene than girls. We conclude that there are differential impacts of unsafe water, WASH services, and practices on human health. Gendered statistics through sex-disaggregated data is crucial to unmasking the differential impacts, which are neither gender-neutral nor evenly distributed between women and men, and boys and girls.

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Weighted Linear Combination Procedures with GIS and Remote Sensing in Flood Vulnerability Analysis of Abeokuta Metropolis in Nigeria

Cited by 5 publications

References 40 publications

An Evaluation of the Impact of Urban Growth on Runoff in Abeokuta, Southwestern Nigeria

An Evaluation of the Impact of Urban Growth on Runoff in Abeokuta, Southwestern Nigeria

Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA)

Water quality, WASH, and gender: differential impacts on health and well-being in Abeokuta City, Nigeria

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