Flood Vulnerability Assessment in Gashua: Issues and Prospectives

Hassan, Yunusa; Jambo, Umar M.; Jajere, Abubakar Ahmed; Mbaya, Lazarus Abore

doi:10.2139/ssrn.3462383

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…The climate is characterized by high temperatures and seasonal rainfall. The mean minimum temperature ranges between 10 °C and 20 °C in December/ January, while the mean maximum is about 34-40 °C in March/May [18] .…”

Section: Climatementioning

confidence: 99%

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Weed Species Composition in Paddy Field of Usur Town, Bade Local Government, Yobe State, Nigeria

Bello¹,

Abba²,

Mohammed

2023

j. of bot. res.

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Farmers are eager to know the various types of weeds in paddy fields. This will help in choosing the best weed management practice for effective weed control as well as reducing rice yield losses. The objectives of the study are to identify the weeds species affecting the rice field, to assess the composition of weeds species, to classify the weed species into different families, genera, species, common names, Hausa names, lifecycles, life forms, native/exotic species, propagation and uses, and to determine the dominant weed species. Random vegetation surveys were conducted. Weeds observed were photographed, and prepared as herbarium specimens. Standard key manuals and checklists were utilized for weed identification and later organized using the Angiosperm Phylogeny Group (APG) classification system. A total number of 72 plants species distributed within 16 families and 50 genera were inventoried. The annuals (66.67%) were the dominant weed followed by perennials (33.33%) while biennials were the least. The broad leaves were the dominant weed (44.61%) identified followed by Poaceae (27.7%) and Sedges (11.11%). Results obtained from this study could be useful in choosing the best management practice and in making a decision on the choice of herbicides and directing research towards improved weed control measures.

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Section: Climatementioning

confidence: 99%

“…Bade L.G.A. experienced an annual rainfall of 500 mm to 1000 mm, the mean rainfall is between 300-500 mm per annum and is unimodal and last mostly from June to September, while the dry season starts from October to May [18] .…”

Section: Climatementioning

confidence: 99%

Weed Species Composition in Paddy Field of Usur Town, Bade Local Government, Yobe State, Nigeria

Bello¹,

Abba²,

Mohammed

2023

j. of bot. res.

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“…The magnitude of the flood calamity in the country and around the world has drawn the attention of international organisations and academics around the world. As a result, studies on flood vulnerability assessment and methodologies abound (Balica et al, 2009;Behanzin et al, 2015;Muller et al, 2011;Yoon, 2012;Ismail and Saanyol, 2013;Zelenakova et al, 2018;Hassan et al, 2019;Youssef et al, 2019). Conversely, most of these studies do not provide a comprehensive assessment of flood vulnerability considering the uni-dimensional approach adopted in the assessment.…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Model for Flood Vulnerability Assessment in Mokwa: A Case of Downstream Communities of Kainji Dam, Niger State, Nigeria

NDANUSA¹,

MUSA²,

HUDU³

2022

JICBE

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One of the most devastating and expensive natural hazards in the world today is flooding. Hence, several attempts have been made by different scholars and researchers across the globe and in Nigeria to study flood vulnerability. These studies focused on assessing either the physical or social components of vulnerability without a holistic assessment of all vulnerability components. A multi-dimensional approach to flood risk assessment is required to provide a holistic view of residents’ degree of vulnerability to flooding. However, where the multidimensional approach was adopted the result were aggregated and not localized to specific areas. Therefore, this study attempts to quantify the vulnerability indicators using the participatory approach and develop a multi-dimensional approach for flood vulnerability assessment in Mokwa, Nigeria. Vulnerability was explored through the lens of four dimensions (economic, environmental, physical, and social) and eighteen indicators. The indicators were scrutinized and standardized for easy aggregation and comparability. The indicators were weighted unequally using Analytical Hierarchical Process (AHP). Nine communities and 382 households were selected purposively from the downstream area of the Kainji dam for sampling. The data collected were subjected to descriptive and inferential statistics using XLSTAT (2014) and spatial analysis in ARCGIS 10.7 environment. The flood vulnerability index revealed that the communities experienced high flood vulnerability from all dimensions; economic (0.71), physical (0.66), social (0.62), and environmental (0.57). The study reported a multi-dimensional flood vulnerability index of 0.65, which implies a high level of vulnerability to flooding. This study has found significant variations in all dimensions of vulnerability among the communities. The study concludes that the multi-dimensional approach to flood vulnerability provides information on the vulnerable population as well as the factors driving vulnerability in the area. The study recommends the use of a multi-dimensional approach, sophisticated models, site-specific indicators, and fine-resolution satellite data for future vulnerability assessment.

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Flood Vulnerability Assessment in Gashua: Issues and Prospectives

Cited by 2 publications

References 9 publications

Weed Species Composition in Paddy Field of Usur Town, Bade Local Government, Yobe State, Nigeria

Weed Species Composition in Paddy Field of Usur Town, Bade Local Government, Yobe State, Nigeria

Multi-Dimensional Model for Flood Vulnerability Assessment in Mokwa: A Case of Downstream Communities of Kainji Dam, Niger State, Nigeria

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