Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)

Results in Earth Sciences, Journal Year: 2024, Volume and Issue: 2, P. 100019 - 100019

Published: March 18, 2024

Flood risk assessment is crucial for delineating flood hazard zones and formulating effective mitigation strategies. Employing a multi-criteria decision support system, this study focused on assessing Risk Index (FHI) at the Dades Wadi watershed scale. Seven main flood-causing criteria were broadly selected, namely flow accumulation, distance from hydrographic network, drainage network density, land use, slope, rainfall, permeability. The relative importance of each criterion prioritized as per their contribution toward risk, which employed blend Analytical Hierarchy Process (AHP) Geographic Information System (GIS)/Remote Sensing (RS) techniques. significance was determined based to hazard, established through an AHP pair-wise comparison matrix. efficacy model performed with consistency ratio 0.08, indicated that weight confirmed. Among criteria, hydrologic accumulation factor identified most influential (weight: 3.11), while permeability exhibited least prominence 0.58). Approximately 40.36% total area, equivalent around 1319, 89 km2, concentrated within very high flood-risk situated near rivers. In contrast, area approximately 399,943 km2 (56.33%) low zone. validation FHI map encompassed application Receiver Operating Characteristic Curve (ROC) technique, revealing Area Under (AUC) 85%.

Language: Английский

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Flood hazard analysis and risk assessment using remote sensing, GIS, and AHP techniques: a case study of the Gidabo Watershed, main Ethiopian Rift, Ethiopia

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 22, 2024

This research aimed to evaluate flood hazards and risk areas in the Gidabo Watershed using remote sensing (RS), Geographic Information Systems (GIS), analytical hierarchy process (AHP). Six main factors were considered identify flooding hazard zones: drainage density (DD), soil, elevation, rainfall, slope, land use cover (LULC). Population density, zone, LULC for mapping zone watershed. A weighted overlay analysis tool has been utilized integrate thematic layers both zones. The findings indicated that about 41.6% (337 km2) of watershed falls within high very Conversely, 31.11% (252 is categorized under very-low low hazards. Moreover, study identified five zones area viz; high, moderate, low, low. result map revealed 199.5 km2 (24.5%) a higher flooding. These validated receiver operating characteristic (ROC) curve, showing correlation coefficient 0.943. results emphasize need implement prediction floods, early warning systems, effective management practices on regular sustainable basis.

Language: Английский

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Geospatial Modeling Based-Multi-Criteria Decision-Making for Flash Flood Susceptibility Zonation in an Arid Area

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(10), P. 2561 - 2561

Published: May 14, 2023

Identifying areas susceptible to flash flood hazards is essential mitigating their negative impacts, particularly in arid regions. For example, southeastern Sinai, the Egyptian government seeks develop its coastal along Gulf of Aqaba maximize national economy while preserving sustainable development standards. The current study aims map and predict prone utilizing a spatial analytic hierarchy process (AHP) that integrates GIS capabilities, remote sensing datasets, NASA Giovanni web tool application, principal component analysis (PCA). Nineteen triggering parameters were initially considered for developing susceptibility model by conducting detailed literature review using our experiences food studies. Next, PCA algorithm was utilized reduce subjective nature researchers’ judgments selecting factors. By reducing dimensionality data, we eliminated ten explanatory variables, only nine relatively less correlated factors retained, which prevented creation an ill-structured model. Finally, AHP method determine relative weights based on significance floods. resulting as follows: rainfall (RF = 0.310), slope (S 0.221), drainage density (DD 0.158), geology (G 0.107), height above nearest network (HAND 0.074), landforms (LF 0.051), Melton ruggedness number (MRN 0.035), plan curvature (PnC 0.022), stream power index (SPI 0.022). research proved AHP, among most dependable methods multi-criteria decision-making (MCDM), can effectively classify degree risk ungauged areas. found 59.2% area assessed at very low flood, 21% high risk, 19.8% moderate risk. Using under receiver operating characteristic curve (AUC ROC) statistical evaluation metric, GIS-based developed demonstrated excellent predictive accuracy, achieving score 91.6%.

Language: Английский

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Navigating Cyclone Threats: A Forecast Approach Using Water Streams’ Physical Characteristics as an Indicator to Predict High Risk Potential Areas in the Sultanate of Oman

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 8(4), P. 937 - 949

Published: April 24, 2024

Language: Английский

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Streamflow Simulation in Semiarid Data-Scarce Regions: A Comparative Study of Distributed and Lumped Models at Aguenza Watershed (Morocco)

Water, Journal Year: 2023, Volume and Issue: 15(8), P. 1602 - 1602

Published: April 20, 2023

In semi-arid regions such as the southwestern zone of Morocco, better management water resources is crucial due to frequent flooding phenomena. this context, use hydrological models becoming increasingly important, specifically in Aguenza watershed. A multitude are available make very efficient modeling, and from perspective, a comparative approach was adopted using two with different characteristics. Streamflow simulations were carried out continuously at daily time steps GR4J ATHYS (2002–2011). The latter used also simulate rainfall-runoff events (1984–2014). Simulation results distributed model compared those obtained by lumped “GR4J”, which shows disadvantages neglecting processes during study. However, remarkable improvement observed general appearance resulting hydrographs performance parameters after ((Calibration: NSE, RSR, PBIAS increased successively 8%, 6%, 45.2%); (Validation: 4%, 8.9%)). terms flood event simulations, good concordance between simulated discharge (NSEmedian = 0.7), indicating its great reliability for simulating data-scarce regions. This research highlights importance models, ATHYS, events.

Language: Английский

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Landslides and flood hazard mapping using geomorphological methods in Santa Ana, Costa Rica

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: unknown, P. 104882 - 104882

Published: Oct. 1, 2024

Language: Английский

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Flood Risk Assessment and Mapping in the Hadejia River Basin, Nigeria, Using Hydro-Geomorphic Approach and Multi-Criterion Decision-Making Method

Water, Journal Year: 2022, Volume and Issue: 14(22), P. 3709 - 3709

Published: Nov. 16, 2022

Flood risk management is crucial for climate change resilience. The Hadejia River basin known severe and frequent floods, which have destroyed houses farmlands claimed many lives. This study developed a GIS-based flood vulnerability mapping assessment using the Analytical Hierarchical Process (AHP) to outline scenarios that reduce associated with floods in basin. of integrated seven hydro-geomorphological indicators influencing extreme events (elevation, mean annual rainfall, slope, distance from rivers, soil type, drainage density) six socio-economic (population density, female population literacy rate, land use, employment road network) multi-criterion analysis. average rainfall data 36 years (1982–2018) were used plain this study. Combining hazard indices revealed high-to-very high downstream central upstream portions basin, cover about 43.4% area. local areas Auyo, Guri, Hadejia, Ringim, Kafin Hausa, Jahun identified as zones at very risk. also different influences on validated results resonate records previous distribution studies research significantly important developing strategic measures policy revision through government relief agencies may negative impact

Language: Английский

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Flood Risk Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment

Hydrology, Journal Year: 2023, Volume and Issue: 10(2), P. 26 - 26

Published: Jan. 17, 2023

Floods are the most common and costliest natural disaster in Australia. Australian flood risk assessments (FRAs) mostly conducted on relatively small scales using modelling outputs. The aim of this study was to develop a novel approach index-based analysis multi-criteria decision-making (MCDM) method for FRA large spatial domain. selected case area Hawkesbury-Nepean Catchment (HNC) New South Wales, which is historically one flood-prone regions HNC’s high made distinctly clear during recent significant events 2021 2022. Using MCDM method, an overall Flood Risk Index (FRI) HNC calculated based hazard, exposure, vulnerability indices. Inputs indices were ensure that they scalable replicable, allowing them be applied elsewhere future management plans. results demonstrate displays risk, especially its urbanised floodplain. For examined March event, found have over 73% (or 15,900 km2) at ‘Severe’ or ‘Extreme’ risk. Validating developed FRI correspondence actual flooding observations event Receiver Operating Characteristic (ROC) statistical test, value 0.803 obtained (i.e., very good). proof-of-concept methodology assessment scale has potential used as framework further approaches.

Language: Английский

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Risk Assessments of Hydro-power Projects Along the Nagavali River, Orissa-Andhra Pradesh, India

Environmental science and engineering, Journal Year: 2025, Volume and Issue: unknown, P. 583 - 606

Published: Jan. 1, 2025

Language: Английский

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First insights into the Late Quaternary fluvial history of the Nan River, northern Thailand

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(10)

Published: May 1, 2025

Language: Английский

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