A GIS Multi-Criteria Evaluation for Flood Risk-Vulnerability Mapping of Ikom Local Government Area, Cross River State

Njoku, Chukwudi Gbadebo; Efiong, Joel; Uzoezie, Arinze; Okeniyi, Femi; Alagbe, Adedayo Olujobi

doi:10.9734/jgeesi/2018/40527

Cited by 12 publications

(9 citation statements)

References 12 publications

(18 reference statements)

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“…Steep slope rarely cause flood, but there will be another potentially hazard which is landslides. It happened because water will tent to flow on the steep slope which are the headwater of drainage system [22] and the water will accelerate the soil movement than becoming flood [19].…”

Section: Figure 2 Slope Classification Mapmentioning

confidence: 99%

“…As much as 42.55% of the area in the Wawar watershed is in the moderate classes, these areas are located in the upstream and downstream of the Wawar watershed. The upstream has a moderate flood susceptibility class because in the upstream area are made of many tributaries [22] so these areas are located close to the river.…”

Section: Figure 2 Slope Classification Mapmentioning

confidence: 99%

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GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Damayanti,

Wikan,

Annurhutami

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Purworejo is one of the regency in Central Java which vulnerable to being affected by flood in rainy season. Wawar watershed is one of the watersheds in Purworejo Regency, the land use in Wawar watershed is dominated by agricultural land so the potential for flooding is quite high in the downstream area. This study aims to determine the distribution of flood-prone locations and classify the level of flood susceptibility that occurs in Wawar Watershed. The method used in this study is data processing on GIS (Geographic Information Systems) using scoring method and weighting of each parameter. These parameters include land use, altitude, rainfall, slope, soil type, and river flow buffers. The resulting hazard map has 3 categories, low, moderate, and high vulnerable level. The results also show that highly vulnerable areas in the southern part of Wawar Watershed that dominated by lowlands area, flat slope, settlement and ricefield land use.

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Section: Figure 2 Slope Classification Mapmentioning

confidence: 99%

Section: Figure 2 Slope Classification Mapmentioning

confidence: 99%

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Damayanti,

Wikan,

Annurhutami

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The river buffer zone or the same epithet as the river borderline is located on the right and left along the river and it is reserved for vegetation for eco-hydrological function protection (Lind et al, 2019). River buffer affects the occurrence of flooding (Njoku et al, 2018). When the river's capacity cannot accommodate the water discharge, the water will stagnate in the area around the river (Widén et al, 2022).…”

Section: River Buffer Classificationmentioning

confidence: 99%

Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia

Romadhon

Aziz

2022

AgriHealth:J.Agr-food.Nutr.Pblchealth

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Semarang City is the capital of the Central Java Province, located in the lowlands and directly adjacent to the north side of the Java Sea. This geographical condition makes this city very vulnerable to being affected by floods. This study aims to determine the distribution of flood-prone locations and classify the level of flood susceptibility that occurs in the Semarang City. Quantitative descriptive is the type of research with an overlay method based on scoring parameters related to environmental conditions. These parameters include slope, soil type, rainfall, altitude, land use and river flow buffers. The scored parameters are then entered into the overlay stage with other parameters in the geographic information system (GIS) application to form a map of the flood susceptibility level. The data analysis technique used the descriptive method. The level of flood susceptibility map resulting from this study is in one area of the Pemali-Juana Sub-watershed. The results also show that the scattered highly vulnerable areas in the northern part of Semarang City are areas with low elevations and flat slopes, then dominated by settlement land use that lacks infiltration areas, small river buffer sizes. These are what make the area classified as an area that is very prone to flooding.

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“…The study area has a land mass of about 1,961km 2 . Topographically, the land is generally undulating with monotonous depressions which contain water even during the dry season (Njoku et al, 2017) The soils in the area are derived from three major geological groups; the recent alluvial deposit, tertiary coastal plain sand and the igneous and metamorphic rocks (Onyekwere et al, 2015). The soils in Ikom LGA belong to three orders in the United State Department of Agriculture (USDA) soil taxonomy, namely: Inceptisols (alluvial deposits), Ultisols (soils developed over basalt materials) and Alfisols (soils derived from sandstone-shale, granite and gneiss parent materials); which correspond to Gleyic Fluvisols, Albic Luvisols and Eurtic Luvisols in the FAO/ United Nations Educational, Scientific and Cultural Organization (UNESCO) World References Base Legend (Nsor, 2011).…”

Section: Study Areamentioning

confidence: 99%

Climate Variability and Yam Production: Nexus and Projections

Okongor¹,

Njoku²,

Essoka³

et al. 2021

SJA

Self Cite

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It is speculated that variability in climate and weather events may affect agricultural productivity and livelihoods (Srivastava et al., 2012), especially in the Abstract | This study aimed to improve understanding of the nexus between climate variability and yam (Dioscorea spp.) production in Ikom Local Government Area of Cross River State, Nigeria. Rainfall, temperature, sunshine and relative humidity , as well as yam yield data (1990-2016) were considered. Results revealed that climate elements fluctuated steadily during the period with a marginal increase in yam yield. The projections from the Time Series Modeler showed that relative humidity will decrease slightly while yam yield will increase by an additional 265 metric tons in 2026. Although minimal, and not significant to the declining food production trend in Nigeria, the projected increase in yam production in the area would support the deficit in food availability. The nexus between both variables was hypothesized using the multiple linear regression analysis. The result revealed that only sunshine intensity was a significant predictor of yam yield (p =0.011), whereas rain days (p = 0.332), rainfall volume (p = 0.393), temperature (p = 0.235) and relative humidity (p = 0.963) were not. This suggests that key climate variables do not significantly influence yam yield in the area, implying that non-climatic factors likely have more impact. This provides better opportunities to upscale yam production in the area and gives room for better planning by farmers and policy makers.

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A GIS Multi-Criteria Evaluation for Flood Risk-Vulnerability Mapping of Ikom Local Government Area, Cross River State

Cited by 12 publications

References 12 publications

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia

Climate Variability and Yam Production: Nexus and Projections

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