Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

Meteorological Risk Assessment in Large-scale Bridge Construction Based on Multi-source Information and Downscaling Techniques

Authors
Shi-cheng Huang, Jia-ling Zhou
Corresponding Author
Shi-cheng Huang
Available Online August 2013.
DOI
10.2991/rsete.2013.79How to use a DOI?
Keywords
Construction meteorological risk, multi-source information, downscaling techniques, assessment technique process
Abstract

This is a study to improve the pertinence and accuracy of bridge-construction meteorological risk assessment. The multi-source information including meteorological observations, the disaster information, and the meteorological conditions of construction unit were used. Taken a large-scale bridge construction in northern Jiangsu of China as an example, the paper researched the dialectical relationship between the construction weather risk and meteorological disaster risk, put forward the main evaluation indicators and evaluation methods for meteorological risk that fused multi-source information, and then established the assessment process of meteorological risk for bridge construction based on multi-source data. The results show that the meteorological factors such as temperature, wind speed, visibility and others, are the main weather risk indicators in the construction of the bridge, and high-impact weather disaster risk such as strong wind, rain and snow, frozen are important parts of the bridge construction risk. Bridge construction meteorological risk assessment base on multi-source information could be divided into three aspects: meteorological background investigation, the project site meteorological observation and analysis, and numerical model simulate. The results implied that while the risk assessment conclusions based on the former two aspects could suitable for the project purpose, the meteorological risk assessment results based on multi-source information and statistical downscaling techniques have greater reliability.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.79
ISSN
1951-6851
DOI
10.2991/rsete.2013.79How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shi-cheng Huang
AU  - Jia-ling Zhou
PY  - 2013/08
DA  - 2013/08
TI  - Meteorological Risk Assessment in Large-scale Bridge Construction Based on Multi-source Information and Downscaling Techniques
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 323
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.79
DO  - 10.2991/rsete.2013.79
ID  - Huang2013/08
ER  -