A Comprehensive Flood Risk Assessment for Railroad Network: Case Study for Iowa DOI Creative Commons
Atiye Cikmaz, Yazeed Alabbad, Enes Yıldırım

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 19, 2024

Abstract Climate-induced disasters, particularly floods, pose a substantial risk to human well-being. These risks encompass economic losses, infrastructural damage, disruption of daily life, and potential loss life. This study focuses on understanding flood critical infrastructure, emphasizing the resilience reliability essential services during such disasters. In United States, railway network is vital for distribution goods services. research specifically targets in Iowa, state where impact flooding railways has not been extensively studied. We employ comprehensive GIS analysis assess vulnerability network, bridges, rail crossings, facilities under 100- 500-year scenarios at level. Additionally, we conduct detailed investigation into most flood-affected counties, focusing susceptibility bridges. Our state-wide reveals that 100-year scenario, up 9% railroads, 8% 58% 6% are impacted. these figures increase 16%, 14%, 61%, 13%, respectively. Further, our secondary using depth maps indicates approximately half bridges zones studied counties could become non-functional both scenarios. findings crucial developing effective disaster management plans strategies, ensuring adequate preparedness climate change impacts infrastructure.

Language: Английский

GIS-Based Risk Assessment of Structure Attributes in Flood Zones of Odiongan, Romblon, Philippines DOI Creative Commons
Jerome G. Gacu, Cris Edward F. Monjardin, Kevin Lawrence M. de Jesus

et al.

Buildings, Journal Year: 2023, Volume and Issue: 13(2), P. 506 - 506

Published: Feb. 13, 2023

Flood triggered by heavy rains and typhoons leads to extensive damage land structures putting rural communities in crucial condition. Most of the studies on risk assessment focus environmental factors, building attributes have not been given attention. The five most expensive typhoon events Philippines were recorded 2008–2013, causing USD 138 million costs. This indicates lack tool/s that would aid creation appropriate mitigation measure/s and/or program/s country reduce caused flooding. Hence, this study highlights a structure vulnerability approach employing combination analytical hierarchy process, physical attributes, existing flood hazard maps local government unit. available layered into base maps, digitized using geographic information system. result is an essential scale map indicating index correlated structural each exposed structure. It was 3094 community, 370 or 10.25% found be at moderate risk, (76.79%) high 503 (12.94%) very risk. unit can utilize resulting determine priority areas plan management strategies educate people improve integrity their houses. A gives idea what houses natural disasters. Moreover, provides direction for future loss enhance resiliency against

Language: Английский

Citations

10
Flooddamagecast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation DOI
Chia-Fu Liu, Lipai Huang, Kai Yin

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

3
Geo-WC: Custom Web Components for Earth Science Organizations and Agencies DOI
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106328 - 106328

Published: Jan. 1, 2025

Language: Английский

Citations

0
FloodGame: An Interactive 3D Serious Game on Flood Mitigation for Disaster Awareness and Education DOI
Bekir Zahit Demiray, Yusuf Sermet, Enes Yıldırım

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106418 - 106418

Published: March 1, 2025

Language: Английский

Citations

0
An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data DOI Creative Commons

Uditha Herath Mudiyanselage,

Eveline Landes Gonzalez,

Yusuf Sermet

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(10), P. 5278 - 5278

Published: May 9, 2025

This study introduces a novel framework with the use of extended reality (XR) systems in hydrology, particularly focusing on immersive visualization hydrologic data for enhanced environmental planning and decision making. The details shift from traditional 2D methods hydrology to more advanced XR technologies, including virtual augmented reality. Unlike static maps or charts that require cross-referencing disparate sources, this system consolidates real-time, multivariate datasets, such as streamflow, precipitation, terrain, into single interactive, spatially contextualized 3D environment. Immersive information facilitate dynamic interaction real-time hydrological meteorological datasets various stakeholders cases, pave way metaverse digital twin systems. system, accessible via web browsers devices, allows users navigate representation continental United States. paper addresses current limitations visualization, methodology, architecture while discussing challenges, limitations, future directions extend its applicability wider range management disaster response scenarios. Future application potential includes climate resilience planning, preparedness training, public education, where can explore scenario-based outcomes within space support anticipatory

Language: Английский

Citations

0
Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa DOI Creative Commons

Beyza Atiye Cikmaz,

Enes Yıldırım, İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2022, Volume and Issue: unknown

Published: June 20, 2022

Floods affect over 2.2 billion people worldwide, and their frequency is increasing at an alarming rate compared to other natural disasters. Presidential disaster declarations have issued increasingly almost every year in Iowa for the past 30 years, indicating that state on rise of flood risk. While significant scientific technological advancement becoming available many mitigation activities, on-the-ground consequences are hampered, among things, by lack tools quickly integrate growing data into accessible usable decisions. A multi-disciplinary approach required, which underlying hydrologic processes cause floods closely linked with watershed-level socio-economic functions using effective collaboration ensure community participation co-production plans while paying attention socio-environmental justice principles. Considering existing limitations needs, we conducted a risk assessment utilizing geophysical datasets case study Cedar Rapids, Iowa. Flood outputs generated based three main groups: geophysical-based risk, socioeconomic combined Our results indicate high- very-high-risk susceptibility zones primarily located central urban areas lower elevations. According overall results, large area Rapids consists medium level according map fuzzy AHP method. The show high very high-risk 16% examined area, medium, low low-risk correspond 84%. Besides, nearly 40% population lives zones.

Language: Английский

Citations

15
EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting DOI
Muhammed Sit, Bong‐Chul Seo, Bekir Zahit Demiray

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 176, P. 106001 - 106001

Published: March 6, 2024

Language: Английский

Citations

3
A Phenology-Dependent Analysis for Identifying Key Drought Indicators for Crop Yield based on Causal Inference and Information Theory DOI Creative Commons
Özlem Baydaroğlu, Serhan Yeşilköy, İbrahim Demir

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Drought indicators, which are quantitative measurements of drought severity and duration, used to monitor predict the risk effects drought, particularly in relation sustainability agriculture water supplies. This research uses causal inference information theory discover index, is most efficient indicator for agricultural productivity a valuable metric estimating predicting crop yield. The connection between precipitation, maximum air temperature, indices corn soybean yield ascertained by cross convergent mapping (CCM), while transfer them determined through entropy (TE). conducted on rainfed lands Iowa, considering phenological stages crops. Based nonlinearity analysis using S-map, it that causality could not be carried out CCM due absence data. results intriguing as they uncover both precipitation temperature indices. analysis, with strongest relationship production SPEI-9m SPI-6m during silking period, SPI-9m doughing period. Therefore, these may considered effective predictors prediction models. study highlights need periods when production, differs two periods.

Language: Английский

Citations

2
FloodGame: An Interactive 3D Serious Game on Flood Mitigation for Disaster Awareness and Education DOI Creative Commons
Bekir Zahit Demiray, Yusuf Sermet, Enes Yıldırım

et al.

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 8, 2023

The number and devastating impacts of natural disasters have grown significantly worldwide, floods are one the most dangerous frequent disasters. Recent studies emphasize importance public awareness in disaster preparedness response activities. FloodGame is designed as a web-based interactive serious game geared towards educating K-12 college students raising on flood prevention mitigation strategies so that they more informed about implications future floods. A gaming environment with rich 3D visuals models developed allows users to experiment different for real-world location their choice. This immersive, repeatable, engaging experience will allow comprehend consequences individual measures, build conceptual understanding benefits actions, examine how may occur communities.

Language: Английский

Citations

6
Combined basin-scale and decentralized flood risk assessment: a methodological approach for preliminary flood risk assessment DOI
Matej Vojtek, Jana Vojteková, Davide Luciano De Luca

et al.

Hydrological Sciences Journal, Journal Year: 2022, Volume and Issue: 68(3), P. 355 - 378

Published: Dec. 12, 2022

In this study, we focused on a combined basin-scale and decentralized approach (municipalities) to riverine flood risk mapping assessment in the Gidra River Basin (Slovakia). The methodology applies direct spatial probabilistic relation among physical processes of flooding with given vulnerability. First, calculated design peak discharges using rainfall generation model rainfall-runoff – particular, Stochastic Rainfall Generator (STORAGE) Continuous Simulation Model for Small Ungauged Basins (COSMO4SUB). After that, used obtained scenarios hydraulic modelling Hydrologic Engineering Center's Analysis System (HEC-RAS). modelled extent, flow depth, velocity were considered hazard indicators. results expressed terms index (FHI), vulnerability (FVI), (FRI): highest values municipalities located northern-central part investigated area.

Language: Английский

Citations

9