Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria DOI Creative Commons

Ani D. Chinedu,

Nkiruka M. Ezebube,

Smart Uchegbu

и другие.

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Июнь 17, 2024

Background Various methods have been utilized to investigate and mitigate flood occurrences, yet there is a paucity of literature on factors, such as soil compositions, that contribute persistent flooding in river basins like the Lower Niger catchment, specifically at Onitsha. Furthermore, study seeks furnish essential geospatial data concerning vulnerability, risks, exposure rates Catchment area, situated Onitsha, southeastern Nigeria. Materials Soil samples were collected from 10 specific locations identified through GPS ground-truthing techniques. Additionally, satellite imagery Landsat Enhanced Thematic Mapper (ETM +) was utilized, with supervised classification employed extract feature classes. Analysis operations conducted using IDRISI software, resulting creation digital elevation models (DEMs), susceptibility maps, flood-risk zones. Results revealed predominant composition area comprises sandy (84.8%), silt (8.1%), clayey (7.1%) soils. Utilizing these characteristics alongside relevant aerial data, determined various scales delineate most flood-vulnerable zones basin. It found certain areas, accommodating population exceeding 79,426 across 2,926.2 ha, particularly susceptible flooding. Notably, major markets Bridgehead, Textile, Biafra highly susceptible, varying degrees risk. The prevalence soil, which facilitates increased rainwater infiltration but also prone rapid saturation runoff, likely contributes heightened areas. Conclusion Geospatial analysis employing remote sensing indicates high lower River Basin around Urgent mitigation efforts are imperative, necessitating establishment zoned areas equipped effective drainage systems safeguard vulnerable populations.

Язык: Английский

Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment DOI Creative Commons
Chiranjit Singha, Vikas Kumar Rana,

Quoc Bao Pham

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(35), С. 48497 - 48522

Опубликована: Июль 20, 2024

Flooding is a major natural hazard worldwide, causing catastrophic damage to communities and infrastructure. Due climate change exacerbating extreme weather events robust flood modeling crucial support disaster resilience adaptation. This study uses multi-sourced geospatial datasets develop an advanced machine learning framework for assessment in the Arambag region of West Bengal, India. The inventory was constructed through Sentinel-1 SAR analysis global databases. Fifteen conditioning factors related topography, land cover, soil, rainfall, proximity, demographics were incorporated. Rigorous training testing diverse models, including RF, AdaBoost, rFerns, XGB, DeepBoost, GBM, SDA, BAM, monmlp, MARS algorithms, undertaken categorical mapping. Model optimization achieved statistical feature selection techniques. Accuracy metrics model interpretability methods like SHAP Boruta implemented evaluate predictive performance. According area under receiver operating characteristic curve (AUC), prediction accuracy models performed around > 80%. RF achieves AUC 0.847 at resampling factor 5, indicating strong discriminative AdaBoost also consistently exhibits good ability, with values 0.839 10. indicated precipitation elevation as most significantly contributing area. Most pointed out southern portions highly susceptible areas. On average, from 17.2 18.6% hazards. In analysis, various nature-inspired algorithms identified selected input parameters assessment, i.e., elevation, precipitation, distance rivers, TWI, geomorphology, lithology, TRI, slope, soil type, curvature, NDVI, roads, gMIS. As per analyses, it found that rivers play roles decision-making process assessment. results majority building footprints (15.27%) are high very risk, followed by those low risk (43.80%), (24.30%), moderate (16.63%). Similarly, cropland affected flooding this categorized into five classes: (16.85%), (17.28%), (16.07%), (16.51%), (33.29%). However, interdisciplinary contributes towards hydraulic hydrological management.

Язык: Английский

Процитировано

10
Sustainable flood control strategies under extreme rainfall: Allocation of flood drainage rights in the middle and lower reaches of the yellow river based on a new decision-making framework DOI
Xin Huang,

Juqin Shen,

Shuqin Li

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 122020 - 122020

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

6
Detection of flood vulnerable areas in urban basins using multi-criteria analysis and geospatial tools: a case study from eastern Mediterranean DOI
Hazem Ghassan Abdo,

Kamal Srogy Darwish,

Ahmed Ali Bindajam

и другие.

Environmental Earth Sciences, Год журнала: 2024, Номер 83(17)

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

4
Lake Iriqui’s Remarkable Revival: Field Observations and a Google Earth Engine Analysis of Its Recovery After over Half a Century of Desiccation DOI Creative Commons
Adil Moumane, Tarik Bahouq, Ahmed Karmaoui

и другие.

Land, Год журнала: 2025, Номер 14(1), С. 104 - 104

Опубликована: Янв. 7, 2025

In September 2024, following two rare storms, Lake Iriqui in southern Morocco experienced a remarkable revival after five decades of desiccation. Historically, the lake played an important role as one largest water bodies before Sahara Desert, serving critical stopover migratory routes for various bird species. Two field missions documented this event: first confirmed lake’s reappearance, while second recorded resurgence ecosystem and return birds, last observed 1968. The surface extent, which had been completely dry, expanded dramatically, reaching over 80 km2 storm subsequently increasing to approximately 146 second. This event has drawn considerable attention from international national media. was monitored using satellite imagery Landsat 8 9 Sentinel-2A, processed through Google Earth Engine (GEE), with Normalized Difference Water Index (NDWI) applied detect presence. A time-series analysis revealed significant changes extent rainfall. study emphasizes need proactive support preserve Iriqui, aligning sustainable development goals: SDG 15 (Life on Land) (Decent Work Economic Growth). These goals highlight importance resource management, biodiversity conservation, eco-tourism initiatives benefit local communities.

Язык: Английский

Процитировано

0
Geotechnical and geological characterization of the Meskani Mine Complex, Yazd Block, Central Iran: A Multidisciplinary study DOI Creative Commons
Ahmad Adib, Pooria Kianoush

Results in Earth Sciences, Год журнала: 2025, Номер unknown, С. 100072 - 100072

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Geomorphological River Characteristics Explain Species Turnover in Amphibians, Reptiles and Lemurs in Madagascar's Eastern Rainforests DOI Creative Commons
Dominik Schüßler, Jaime R. Alvarado Bremer,

Martin Sauerwein

и другие.

Journal of Biogeography, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

ABSTRACT Aim The riverine barrier hypothesis is often tested as a driver for allopatric speciation. Rivers are usually treated static landscape features characterised by their width and elevation of headwaters. We aim to investigate the role rivers barriers using comprehensive database geomorphological characteristics assessing influence on species turnover rates. Location Eastern Madagascar. Taxon Sixty‐two taxa from 11 genera lemurs, amphibians reptiles. Methods compiled 21 variables 45 major rivers, estimated rates assemblages either side modelled river diversity. Topographic depressions, identified longitudinal profiles, heterogeneity were further analysed potential palaeoclimatic refugia alternative speciation drivers. Results A total 24 acted barriers. Three these had disproportionately high shared set distinct like maximum watershed, flow accumulation values at outlet an 800 m concavity profile. Other along main channel length coastal plain helped differentiate between with intermediate Species richness peaked in northeastern Madagascar, region highest abundance topographic depressions inferred palaeo‐wetlands. Main Conclusions Geomorphological effectively explained variations However, it remains uncertain whether functioned secondary dispersal thereby maintainers diversity, rather than primary drivers Additionally, we emphasise during oscillations, which associated depressions. Overall, integrating dynamic fluvial systems through space time into biogeographic studies offers valuable insights speciation, persistence taxa.

Язык: Английский

Процитировано

0
Flood Susceptibility Mapping in Kali River Basin, Southern India: A GIS-based Analytical Hierarchy Process Modelling DOI Creative Commons
Ananda Krishnan,

S.G. Dhanil Dev,

S. Arjun

и другие.

Results in Earth Sciences, Год журнала: 2025, Номер unknown, С. 100079 - 100079

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Worldwide Research Trends and Networks on Flood Early Warning Systems DOI Creative Commons
Oscar David Calvo-Solano, Adolfo Quesada‐Román

GeoHazards, Год журнала: 2024, Номер 5(3), С. 582 - 595

Опубликована: Июнь 23, 2024

This review paper examined the global landscape of research on continental flood early warning systems (EWS), shedding light key trends, geographic disparities, and priorities. Continental floods stand as one most pervasive devastating disasters worldwide, necessitating proactive measures to mitigate their impact. Drawing upon a comprehensive analysis scholarly literature indexed in Web Science repository, this study unveiled significant patterns EWS research. While emphasis flooding is evident, considerable portion focuses precipitation variable modeling approaches. Furthermore, influence climate change emerges prominent theme, though distinguishing between variability remains crucial area for exploration. Geographically, Europe, particularly England Italy, dominates efforts related EWS. Conversely, limited representation Central America other regions such Asia Oceania, underscores need greater attention facing risks. Importantly, concept total link strength valuable metric, highlighting collaborative networks established by European countries United States. Based these findings, recommendations are proposed enhance inclusivity effectiveness research, including broader consideration socio-economic factors, fostering collaboration among researchers from diverse regions, prioritizing initiatives strengthen capacities vulnerable areas. Ultimately, provides insights policymakers, researchers, practitioners seeking advance risk management strategies scale.

Язык: Английский

Процитировано

3
Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria DOI Creative Commons

Ani D. Chinedu,

Nkiruka M. Ezebube,

Smart Uchegbu

и другие.

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Июнь 17, 2024

Background Various methods have been utilized to investigate and mitigate flood occurrences, yet there is a paucity of literature on factors, such as soil compositions, that contribute persistent flooding in river basins like the Lower Niger catchment, specifically at Onitsha. Furthermore, study seeks furnish essential geospatial data concerning vulnerability, risks, exposure rates Catchment area, situated Onitsha, southeastern Nigeria. Materials Soil samples were collected from 10 specific locations identified through GPS ground-truthing techniques. Additionally, satellite imagery Landsat Enhanced Thematic Mapper (ETM +) was utilized, with supervised classification employed extract feature classes. Analysis operations conducted using IDRISI software, resulting creation digital elevation models (DEMs), susceptibility maps, flood-risk zones. Results revealed predominant composition area comprises sandy (84.8%), silt (8.1%), clayey (7.1%) soils. Utilizing these characteristics alongside relevant aerial data, determined various scales delineate most flood-vulnerable zones basin. It found certain areas, accommodating population exceeding 79,426 across 2,926.2 ha, particularly susceptible flooding. Notably, major markets Bridgehead, Textile, Biafra highly susceptible, varying degrees risk. The prevalence soil, which facilitates increased rainwater infiltration but also prone rapid saturation runoff, likely contributes heightened areas. Conclusion Geospatial analysis employing remote sensing indicates high lower River Basin around Urgent mitigation efforts are imperative, necessitating establishment zoned areas equipped effective drainage systems safeguard vulnerable populations.

Язык: Английский

Процитировано

2