| Records |
Author  |
Boni Su; Hong Huang; Zhiqiang Wang; Nan Zhang; Wei Zhu; Xinfeng Wei |
| Title |
Urban pluvial flood risk assessment based on scenario simulation |
Type |
Conference Article |
| Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
In this study, urban pluvial flood risk is studied in an actual study area using scenario simulation method based on hydrodynamics. Real weather data and GIS (Geographic Information System) data are adopted to make the results reliable. A region in Haidian District of Beijing is selected as the study area. All the rainfall scenarios (about 200 scenarios) during an 8-year period (from January 1, 2008 to December 31, 2015) are obtained from hourly precipitation data. These rainfall scenarios are used as input for numerical simulations. Spatial-temporal distributions of water depth are obtained through numerical simulation base on SWEs (Shallow-Water Equations). GPU computing technique is applied to increase simulation speed greatly. Influence of rainfall parameters on flood water depth is analyzed. The results show that water depth becomes higher if rainfall duration and average rainfall intensity increase. Moreover, situation of water depth is not only related to overall parameters like rainfall duration or rainfall intensity, but also related to other details of rainfall. Water depth exceedance probability curves of every location and every building are obtained, and different characteristics of the curves are discussed. Finally, the effect of water depth exceedance probability curves of buildings on designing building foundation height is shown. This study is helpful to the risk assessments of urban pluvial flood. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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| Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1422 |
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| Author |
Xiaoyong Ni; Hong Huang; Shiwei Zhou; Boni Su; Jianchun Zheng; Wei Zhu; Huali Liu |
| Title |
Simulation of The Urban Waterlogging and Emergency Response Strategy at Subway Station's Entry-exit Platform in Heavy Rainstorm |
Type |
Conference Article |
| Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
| Volume |
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Issue |
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Pages |
99-120 |
| Keywords |
Simulation, urban waterlogging, subway stations, emergency response strategy |
| Abstract |
Underground space like subway stations is prone to be flooded which can lead to severe and unpredictable damage and even threaten human lives. In this paper, four groups of contrastive simulation of urban waterlogging at two subway stations' entry-exit platforms in heavy rainstorm are conducted, and emergency response strategies are suggested. A waterlogging simulation method named UPFLOOD based on shallow water equations is proposed considering complex topography. It has been found that the waterlogging at subway station's entry-exit platforms is easily influenced by several factors and the site selection of the subway stations is very important. A disaster process construction method based on PN model is proposed and it has been found that the response strategies including plugging, drainage and evacuation are important for disaster mitigation. This study helps decision makers to response quickly to meet the emergency of the waterlogging disaster at subway stations caused by heavy rainstorm. |
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Thesis |
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| Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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| Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
2093 |
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| Author |
Xiaoyong Ni; Hong Huang; Wenxuan Dong; Chao Chen; Boni Su; Anying Chen |
| Title |
Scenario Prediction and Crisis Management for Rain-induced Waterlogging Based on High-precision Simulation |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
| Volume |
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Issue |
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Pages |
159-173 |
| Keywords |
Rain-induced waterlogging, Scenario prediction, High-precision simulation, Crisis management |
| Abstract |
Many cities, especially those in developing countries, are not well prepared for the devastating disaster of exceptional rain-induced waterlogging caused by extreme rainfall. This paper proposes a waterlogging scenario prediction and crisis management method for such kind of extreme rainfall conditions based on high-precision waterlogging simulation. A typical urban region in Beijing, China is selected as the study area in this paper. High-precision and full-scale data in the study area requested for the waterlogging simulation are introduced. The simulation results show that the study area is still vulnerable to extreme rainfall and the subsequent waterlogging. The waterlogging situation is much more severe with the increase of the return period of rainfall. This study offers a good reference for the relevant government departments to make effective policy and take pointed response to the waterlogging problem. |
| Address |
Tsinghua University; Tsinghua University; Tsinghua University; Beijing Water Authority; Electric Power Planning & Engineering Institute; Tsinghua University |
| Corporate Author |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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| Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
nxy15@mails.tsinghua.edu.cn |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2322 |
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| Author |
Yan Wang; Hong Huang; Lida Huang; Minyan Han; Yiwu Qian; Boni Su |
| Title |
An Agile Framework for Detecting and Quantifying Hazardous Gas Releases |
Type |
Conference Article |
| Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
| Volume |
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Issue |
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Pages |
42-49 |
| Keywords |
Hazardous gas release; mobile sensing; data fusion; leakage detection; source term estimation |
| Abstract |
In response to the threat of hazardous gas releases to public safety and health, we propose an agile framework for detecting and quantifying gas emission sources. Emerging techniques like high-precision gas sensors, source term estimation algorithms and Unmanned Aerial Vehicles are incorporated. The framework takes advantage of both stationary sensor network method and mobile sensing approach for the detection and quantification of hazardous gases from fugitive, accidental or deliberate releases. Preliminary results on street-level detection of urban natural gas leakage is presented. Source term estimation is demonstrated through a synthetic test case, and is verified using Cramér-Rao bound analysis. |
| Address |
Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Beijing Define Technology Co., Ltd, Beijing, China; Hefei Institute for Public Safety Research, Tsinghua University, Hefei, China |
| Corporate Author |
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Thesis |
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| Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
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Medium |
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| Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1998 |
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| Author |
Yan Wang; Hong Huang; Wei Zhu |
| Title |
Stochastic source term estimation of HAZMAT releases: algorithms and uncertainty |
Type |
Conference Article |
| Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
| Volume |
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Issue |
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Pages |
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| Keywords |
Bayesian inference; emergency response; hazardous material releases; source term estimation; uncertainty |
| Abstract |
Source term estimation (STE) of hazardous material (HAZMAT) releases is critical for emergency response. Such problem is usually solved with the aid of atmospheric dispersion modelling and inversion algorithms accompanied with a variety of uncertainty, including uncertainty in atmospheric dispersion models, uncertainty in meteorological data, uncertainty in measurement process and uncertainty in inversion algorithms. Bayesian inference methods provide a unified framework for solving STE problem and quantifying the uncertainty at the same time. In this paper, three stochastic methods for STE, namely Markov chain Monte Carlo (MCMC), sequential Monte Carlo (SMC) and ensemble Kalman filter (EnKF), are compared in accuracy, time consumption as well as the quantification of uncertainty, based on which a kind of flip ambiguity phenomenon caused by various uncertainty in STE problems is pointed out. The advantage of non-Gaussian estimation methods like SMC is emphasized. |
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Thesis |
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| Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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| Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1194 |
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| Author |
Yue Guan; Shifei Shen; Hong Huang |
| Title |
Assessment of the radiation doses to the public from the cesium in oceans after Fukushima Nuclear Accident |
Type |
Conference Article |
| Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
| Volume |
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Issue |
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Pages |
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| Keywords |
Tagged Fukushima NPP; numerical simulation; radiation dose; ROMS |
| Abstract |
A great number of radioactive cesium were released into sea water after Fukushima Accident. We modified the Regional Oceanic Modelling System (ROMS) to reproduce the dispersion process of the cesium in oceans. The simulated water concentration was in good agreement with observation. In order to explore the nuclear impact of these contaminant in ocean, we established a food web model to calculate the concentration in marine organisms and assess the internal dose rate to the public. The estimated internal dose rate is small compared with the recommended limit by International Atomic Energy Agency (IAEA). Then, we employed the Monte Carlo N Particle Transport Code (MCNP) to calculate the transfer coefficient. The external dose rate could be estimated by this coefficient and simulated water concentration. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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| Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1196 |
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