English
Related papers

Related papers: Evaluating Pavement Deterioration Rates Due to Flo…

200 papers

The performance of rigid pavement is greatly affected by the properties of base/subbase as well as subgrade layer. However, the performance predicted by the AASHTOWare Pavement ME design shows low sensitivity to the properties of base and…

Artificial Intelligence · Computer Science 2021-01-25 Sajib Saha , Fan Gu , Xue Luo , Robert L. Lytton

Due to climate change the frequency and intensity of extreme rainfall events, which contribute to urban flooding, are expected to increase in many places. These floods can damage transport infrastructure and disrupt mobility, highlighting…

Machine Learning · Computer Science 2024-12-02 Miguel Costa , Morten W. Petersen , Arthur Vandervoort , Martin Drews , Karyn Morrissey , Francisco C. Pereira

Urban flooding disrupts traffic networks, affecting the mobility and disrupting access of residents. Since flooding events are predicted to increase due to climate change, and given the criticality of traffic networks, understanding the…

Physics and Society · Physics 2022-10-04 Akhil Anil Rajput , Sanjay Nayak , Shangjia Dong , Ali Mostafavi

The Pavement Condition Index (PCI) is a widely used metric for evaluating pavement performance based on the type, extent and severity of distresses detected on a pavement surface. In recent times, significant progress has been made in…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Neema Jakisa Owor , Hang Du , Abdulateef Daud , Armstrong Aboah , Yaw Adu-Gyamfi

Flooding is one of the most disastrous natural hazards, responsible for substantial economic losses. A predictive model for flood-induced financial damages is useful for many applications such as climate change adaptation planning and…

Machine Learning · Computer Science 2022-12-20 Joaquin Salas , Anamitra Saha , Sai Ravela

Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life,…

Machine Learning · Computer Science 2020-08-10 Amir Mosavi , Pinar Ozturk , Kwok-wing Chau

Due to accelerated sea level rise and climate change, the transportation system is increasingly affected by recurrent flooding coastal regions, yet the cumulative travel disruption effects are not well understood. In Part 1 of this study,…

Physics and Society · Physics 2024-02-07 Luwei Zeng , T. Donna Chen , John S. Miller , Jonathan L. Goodall , Faria Tuz Zahura

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures. This limitation could be alleviated by leveraging information contained in…

Information Retrieval · Computer Science 2020-03-24 Björn Barz , Kai Schröter , Moritz Münch , Bin Yang , Andrea Unger , Doris Dransch , Joachim Denzler

Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of…

Physics and Society · Physics 2022-02-03 Simone Loreti , Enrico Ser-Giacomi , Andreas Zischg , Margreth Keiler , Marc Barthelemy

With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can provide real-time information for flood monitoring. The social…

Computer Vision and Pattern Recognition · Computer Science 2020-10-13 Yu Feng , Claus Brenner , Monika Sester

Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards flood monitoring is based on identifying the area most vulnerable to flooding,…

Current approaches to design flood-sensitive infrastructure typically assume a stationary rainfall distribution and neglect many uncertainties. These assumptions are inconsistent with observations that suggest intensifying extreme…

Applications · Statistics 2022-01-11 Sanjib Sharma , Ben Seiyon Lee , Robert E. Nicholas , Klaus Keller

Urban flooding is expected to increase in frequency and severity as a consequence of climate change, causing wide-ranging impacts that include a decrease in urban Quality of Life (QoL). Meanwhile, policymakers must devise adaptation…

Machine Learning · Computer Science 2025-11-06 Miguel Costa , Arthur Vandervoort , Martin Drews , Karyn Morrissey , Francisco C. Pereira

Extreme precipitation wreaks havoc throughout the world, causing billions of dollars in damage and uprooting communities, ecosystems, and economies. Accurate extreme precipitation prediction allows more time for preparation and disaster…

Machine Learning · Computer Science 2022-02-01 Weichen Huang

Automatic detection and classification of pavement distresses is critical in timely maintaining and rehabilitating pavement surfaces. With the evolution of deep learning and high performance computing, the feasibility of vision-based…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Vishal Mandal , Abdul Rashid Mussah , Yaw Adu-Gyamfi

Relevant comprehension of flood hazards has emerged as a crucial necessity, especially as the severity and the occurrence of flood events intensify with climate changes. Flood simulation and forecast capability have been greatly improved…

Image and Video Processing · Electrical Eng. & Systems 2022-11-18 Thanh Huy Nguyen , Anthéa Delmotte , Christophe Fatras , Peter Kettig , Andrea Piacentini , Sophie Ricci

Fluvial floods drive severe risk to riverine communities. There is a strong evidence of increasing flood hazards in many regions around the world. The choice of methods and assumptions used in flood hazard estimates can impact the design of…

Pavement-watering has been studied since the 1990's and is currently considered a promising tool for urban heat island reduction and climate change adaptation. However, possible future water resource availability problems require that water…

Physics and Society · Physics 2015-05-28 Martin Hendel , Morgane Colombert , Youssef Diab , Laurent Royon

Floods can cause horrific harm to life and property. However, they can be mitigated or even avoided by the effective use of hydraulic structures such as dams, gates, and pumps. By pre-releasing water via these structures in advance of…

Machine Learning · Computer Science 2023-10-31 Jimeng Shi , Vitalii Stebliankin , Giri Narasimhan

Flooding remains a major global challenge, worsened by climate change and urbanization, demanding advanced solutions for effective disaster management. While traditional 2D flood mapping techniques provide limited insights, 3D flood…

Computer Vision and Pattern Recognition · Computer Science 2025-07-14 Wenfeng Jia , Bin Liang , Yuxi Liu , Muhammad Arif Khan , Lihong Zheng