Assessing the spatiotemporal socioeconomic flood vulnerability of agricultural communities in the Potomac River Watershed

Tanır, Tuğkan; Lima, André de Souza de; Coelho, Gustavo de A.; Uzun, Sukru; Cassalho, Felício; Ferreira, Celso M.

doi:10.1007/s11069-021-04677-x

Cited by 8 publications

(4 citation statements)

References 92 publications

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“…To eliminate the bias from using assumed damage functions, future research studies are recommended when site-specific damage functions are developed. Besides, future research studies should explore applying flood loss models to estimate crop losses (Pinos et al 2020;Tanir et al 2021). Future research studies are recommended to advance the present study findings by performing hybrid 1D-2D model when the overflow locations information become available.…”

Section: Discussionmentioning

confidence: 90%

Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment

et al. 2022

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River Malaba sub-catchment tends to experience dramatic flooding events, with several socio-economic impacts to the nearby communities, such as loss of lives and destructions of physical infrastructure. Analysis of spatiotemporal extents to which settlements, crops and physical infrastructures tend to be inundated are vital for predictive planning of risk-based adaptation measures. This paper presents a case study on flood risk assessment for Ugandan River Malaba sub-catchment. We applied the two-dimensional Hydraulic Engineering Center’s River Analysis System (2D HEC-RAS) for modelling of flooding extents. We considered extreme flow quantiles, lower and upper quantiles corresponding to the 95% confidence interval limits aimed at determining uncertainties in the flooding extents. Spatial extents of inundation on human settlement, land cover and infrastructure were analysed with respect to return periods of extreme flow quantiles. Finally, we estimated economic loss on infrastructure due to flooding. Results from the 2D HEC-RAS model were satisfactorily comparable with the results of observations. Amongst the land use types, cropland exhibited the highest vulnerability with at least 10,234.8 hectare (ha) susceptible to flooding event of 100-year return period (YRP). Inundated built-up land-use exhibited the highest vulnerability percentage increase (90%) between 2- and 100-YRP. In US Dollar, about US$ 33 million and US$ 39 million losses are estimated at 2- and 100-YRP, respectively, due to inundated rice gardens and these indicate a looming high risk of household food insecurity and poverty. Several infrastructure including 15 academic institutions, 12 health facilities, 32 worshiping places remain annually vulnerable to flooding. At least 6 km and 7 km of road network are also susceptible to flooding under extreme flows of return periods 2 and 100 years, respectively. Churches exhibited the highest economic losses of US$ 855,065 and US$ 1,623,832 at 2-YRP and 100-YRP, respectively. This study findings are relevant for planning the development of sustainable flood risk adaptation pathways given the established destructions within the sub-catchment due to flooding.

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Section: Discussionmentioning

confidence: 90%

Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment

et al. 2022

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“…Flood socioeconomic vulnerability was assessed by combining the SOVI and FFI (Tanir et al, 2021;Tanir et al, 2021b). While combining them, new index values are determined by considering the value of SOVI and FFI.…”

Section: Methodsmentioning

confidence: 99%

“…Floods are one of the most frequent and destructive type of natural disaster (Hirabayashi et al, 2013;Tanir et al, 2021). Population increase and economic growth in flood-prone areas are considered the main reasons for the destruction (Rufat & Botzen, 2022).…”

Section: Introductionmentioning

confidence: 99%

Türkiye Örneği Özelinde Taşkın Sosyal Etkilenebilirlik Analizi

Tanır¹,

FINDIK²,

GİRAYHAN³

et al. 2022

Turkish J. Water Sci. Manag.

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Doğal afetler düşünüldüğünde, taşkınlar en sık karşılaşılan ve de en fazla hasara sebep olanlar arasında yer almaktadır. Taşkın riskini oluşturan bileşenlerin değerlendirilmesi ve riskin sayısallaştırılması, bu risk gerçekleştiğinde karşılaşılması beklenen büyük boyutlu etkilerden korunmak için önemlidir. Taşkın riskini kapsamlı bir şekilde değerlendirebilmek için riskin sosyal ve biyofiziksel katmanlarının birlikte ele alınması gerekmektedir. Bu çalışmada, toplumun herhangi bir dış baskı faktörüne karşı adaptasyon yeteneğini ve duyarlılığını ölçen Sosyal Etkilenebilirlik Endeksi, tüm Türkiye özelinde il bazında değerlendirilmiştir. Literatür taraması ve veri ulaşılabilirliği göz önüne alınarak 8 farklı etkilenebilirlik parametresi belirlenmiştir. Sosyal Etkilenebilirlik Endeksi analizi sonucunda 14 farklı şehir çok yüksek derecede etkilenebilir olarak nitelendirilmiştir. 1960 ve 2021 yılları arasındaki tarihi taşkınlar il bazında analiz edilmiştir. Sosyal Etkilenebilirlik Analizi ve tarihi taşkınların değerlendirilmesi sonucunda bu 14 şehirden yalnızca 3’ü Taşkın Sosyal Etkilenebilirlik Endeksi’nde en yüksek dereceyi almışıtr. Bu Taşkın Sosyal Etkilenebilirlik Endeksi analizi sonuçları yalnızca riskin sosyal veya biyofiziksel katmanlarının yeterli olmadığı, riskin kapsamlı şekilde ifade edilebilmesi için bu iki katmanın birlikte değerlendirilmesi gerektiğini ortaya koymuştur. Bu çalışmada uygulanan ve önerilen yöntem karar vericiler için kullanışlı bir metod olmakla beraber tüm Türkiye’deki taşkın hazırlık yetkinliğini arttırmada rol oynayabilecektir.

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“…This damage is spread across the country. The agricultural industry is particularly susceptible to damage from floods (Dickenson, 2004;Tanir et al, 2021). Floods have the potential to inundate agricultural lands and cause significant damage to the crops grown there, mainly if the floods occur during the planting or harvesting seasons.…”

Section: Introductionmentioning

confidence: 99%

Flooding Impacts and Farming Motivation in Anam Community of Anambra State, Nigeria: Implication for Food Security

Rita¹

2023

JARFAES

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Climate change projections that show an increase in the frequency and intensity of climatic hazards like flooding highlight the significance of understanding community vulnerability to extreme hydrological events. The current study looked at how farmers' motivation is impacted by flooding. Two hundred and twenty-five farmers recruited from farming communities in Anam, Anambra State, Nigeria, completed a self-report instrument to ascertain their motivations relative to continuing farming activities in the era of flooding. A cross-sectional design was employed in the study. Data from the respondents were analyzed using the statistical package for social sciences (SPSS, Version 23). Simple regression was run to test the primary hypothesis that flooding would predict farmers' motivation. The analysis demonstrated a statistically significant effect of flooding concerns on the farmers' motivation F (1,223), 21.31 P< .05, with the R2 indicating the independent variable accounted for 22.3% of the variation in farmers' motivation. The present finding contributes to the agricultural literature by revealing the flooding trend as a potential determinant of farmers' low motivations and the increasing low food production.

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Assessing the spatiotemporal socioeconomic flood vulnerability of agricultural communities in the Potomac River Watershed

Cited by 8 publications

References 92 publications

Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment

Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment

Türkiye Örneği Özelinde Taşkın Sosyal Etkilenebilirlik Analizi

Flooding Impacts and Farming Motivation in Anam Community of Anambra State, Nigeria: Implication for Food Security

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