Potential Flood Risk Scenario and Its Effects on Landscape Composition Using Hydraulic Modeling (HEC-RAS) in Boğaçay Sub-Basin/Türkiye DOI Creative Commons
Serdar Selim, Emine KAHRAMAN, Ceren Selim

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 219 - 219

Published: Dec. 30, 2024

Flooding, one of the most destructive and recurrent natural catastrophes, causes severe loss life property. The effect floods has increased with climate change unplanned urbanization. To prevent this devastation find solutions to potential flooding, it is important improve engineering, ecological, hydrological, hydrogeological precautions, as well flood simulations. Using hydraulic models perform simulations a common successful approach globally. In study, HEC-RAS (1D) was used simulate three different scenarios on Boğaçay sub-basin in Antalya, tourism destination Türkiye. Flood were developed based data that occurred region 2003 2006, measured flow rates 1899.9 m3/s 1450 m3/s, respectively, maximum rate (2408 m3/s) determined by relevant ministry. Then, landscape composition at scale impacts around riverbed evaluated. results analysis show water height will increase, ranging from 1.4 m 3.6 m, be significantly affected increase scenarios. Especially part where river meets sea, 580.74 ha urban settlement estimated damaged according worst-case scenario. Finally, study guide decision-makers take necessary measures under

Language: Английский

Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting DOI Creative Commons

Muhammad Asif,

Monique M. Kuglitsch,

Ivanka Pelivan

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Abstract Among natural hazards, floods pose the greatest threat to lives and livelihoods. To reduce flood impacts, short-term forecasting can contribute early warnings that provide communities with time react. This manuscript explores how machine learning (ML) support forecasting. Using two methods [strengths, weaknesses, opportunities, threats (SWOT) comparative performance analysis] for different forecast lead times (1–6, 6–12, 12–24, 24–48 h), we evaluate of models in 94 journal papers from 2001 2023. SWOT reveals best was produced by hybrid, random forest (RF), long memory (LSTM), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) approaches. The analysis, meanwhile, favors convolutional network, ANFIS, multilayer perceptron, k-nearest neighbors algorithm (KNN), LSTM, ANN, vector (SVM) at 1–6 h; LSTM 6–12 SVM, RF 12–24 hybrid h. In general, approaches consistently perform well across all times. Trends such as hybridization, model selection, input data decomposition seem improve accuracy models. Furthermore, effective stand-alone ML RF, genetic algorithm, KNN, better outcomes through hybridization other By including parameters environmental, socio-economical, climatic parameters, produce more accurate forecasting, making it warning operational purposes.

Language: Английский

Citations

1
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran DOI
Reza Bahramloo, Jun Wang, Mehdi Sepehri

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: 38(12), P. 4863 - 4881

Published: Nov. 13, 2024

Language: Английский

Citations

3
Different Time-Increment Rainfall Prediction Models: a Machine Learning Approach Using Various Input Scenarios DOI
Amir Rahimi, Noor Kh. Yashooa, Ali Najah Ahmed

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

Language: Английский

Citations

1
Flood susceptibility mapping in river basins: a risk analysis using AHP-TOPISIS-2 N support and vector machine DOI

Admir José Giacon,

Alexandre Marco da Silva

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 25, 2024

Language: Английский

Citations

0
Potential Flood Risk Scenario and Its Effects on Landscape Composition Using Hydraulic Modeling (HEC-RAS) in Boğaçay Sub-Basin/Türkiye DOI Creative Commons
Serdar Selim, Emine KAHRAMAN, Ceren Selim

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 219 - 219

Published: Dec. 30, 2024

Flooding, one of the most destructive and recurrent natural catastrophes, causes severe loss life property. The effect floods has increased with climate change unplanned urbanization. To prevent this devastation find solutions to potential flooding, it is important improve engineering, ecological, hydrological, hydrogeological precautions, as well flood simulations. Using hydraulic models perform simulations a common successful approach globally. In study, HEC-RAS (1D) was used simulate three different scenarios on Boğaçay sub-basin in Antalya, tourism destination Türkiye. Flood were developed based data that occurred region 2003 2006, measured flow rates 1899.9 m3/s 1450 m3/s, respectively, maximum rate (2408 m3/s) determined by relevant ministry. Then, landscape composition at scale impacts around riverbed evaluated. results analysis show water height will increase, ranging from 1.4 m 3.6 m, be significantly affected increase scenarios. Especially part where river meets sea, 580.74 ha urban settlement estimated damaged according worst-case scenario. Finally, study guide decision-makers take necessary measures under

Language: Английский

Citations

0