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

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Comparison of national and local building inventories for damage and loss modeling of seismic and tsunami hazards: From parcel-to city-scale DOI Creative Commons
Dylan Sanderson, Daniel T. Cox

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 93, С. 103755 - 103755

Опубликована: Май 24, 2023

Язык: Английский

Процитировано

5
EfficientRainNet: Smaller Neural Networks Based on EfficientNetV2 for Rainfall Nowcasting DOI Creative Commons
Muhammed Sit, Bong‐Chul Seo, Bekir Zahit Demiray

и другие.

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Апрель 5, 2023

Rainfall nowcasting provides short-term, high-resolution information on the location, intensity, and timing of rainfall, which is crucial for weather forecasting, flood warning, emergency response. This can help people organizations make informed decisions to mitigate impact severe events reduce risk damage loss life. There are many attempts at tackling problem hand, whether it be numerical models or statistical that also comprise deep neural networks. Even though nowcast quite accurate nowadays has a saturated literature, current approaches mostly focus improving performance while computational burden keeps increasing. In this study, we propose EfficientRainNet, convolutional network architecture based mobile inverted residual linear bottleneck blocks with few alterations. We show EfficientRainNet able produce comparable results those encoder-decoder GRUs only fraction trainable parameters over radar rainfall dataset State Iowa. Also, most part, performs better than baselines using persistence- optical flow-based nowcasting, along another efficiency-focused architecture, Small Attention UNet.

Язык: Английский

Процитировано

4
A Web-based Decision Support Framework for Optimizing Road Network Accessibility and Emergency Facility Allocation During Flooding DOI Creative Commons
Yazeed Alabbad, Jerry Mount,

A. N. Campbell

и другие.

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Авг. 3, 2023

Transportation systems can be significantly affected by flooding, leading to physical damage and subsequent adverse impacts such as increased travel distance essential services. Even though flooding is a frequently recurring phenomenon that affect thousands of people per event, there are limited accessible online tools available for analyzing visualizing flood risk supporting decisions on routing emergency planning, response. Existing generally based complicated models not easily non-expert users. Therefore, it critical have efficient real-time communication decision transportation networks various stakeholders, including the public, minimize those groups. This paper presents web application uses graph network methods latest technologies standards assist in describing events terms operational constraints provide analytical support mobility mitigation during these events. The framework designed user-friendly, enabling users access information about road status, shortest paths amenities, location-allocation, service coverage. study area includes following two communities State Iowa, Cedar Rapids Charles City, which were used test application's functionality explore outcomes. Our research demonstrates bridge operation, from locations arbitrary point-to-point routing, planning facility placement, accessibility. introduced capable solving complex flood-related tasks providing an understandable representation vulnerability, enhancing strategies. this provides valuable tool stakeholders make informed

Язык: Английский

Процитировано

4
Estimating the Socioeconomic Impacts of Flooding on Regional Economies With a Computable General Equilibrium Model DOI Creative Commons
Olivier Parent,

Rainer vom Hofe,

Seunghoon Oh

и другие.

Water Resources Research, Год журнала: 2023, Номер 59(9)

Опубликована: Авг. 21, 2023

Abstract The growing number of flood events in urban areas is causing far‐reaching economic losses and social disruptions. To implement suitable risk management strategies measures for prevention mitigation, it paramount to adequately assess economy‐wide associated with potential events. assessment damage the USA relies significantly on Federal Emergency Management Agency (FEMA) Hazus Flood Model. A primary requirement reduce uncertainty empirically gather user input data. Consequently, there a need integrate publicly accessible business data accurate evaluation activities. We present novel approach estimating both direct activities during total impact that arise from these First, we FEMA Model Reference Solutions business‐level estimate reduction (i.e., losses) following 100‐year event New Hanover County, North Carolina. Second, broader activity have industry output, employment, value‐added household income using regional computational general equilibrium model. advantage our easy replicability loss estimation process US cities regions interest, which, when used follow‐up study, leads Policy makers relying solely physical damages would, by ignoring indirect losses, underestimate benefits investing mitigation protection.

Язык: Английский

Процитировано

4
A Comprehensive Flood Risk Assessment for Railroad Network: Case Study for Iowa DOI Creative Commons
Atiye Cikmaz, Yazeed Alabbad, Enes Yıldırım

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

1