Research on Active Disaster Prevention of Underground Space Based on City Vulnerability Analysis

2013 ◽  
Vol 671-674 ◽  
pp. 2488-2491
Author(s):  
Zhi Gang Zheng ◽  
Zhuo Chen
Keyword(s):  
Three Dimensional ◽  
Underground Space ◽  
Disaster Prevention ◽  
Structural Vulnerability ◽  
Unexpected Events ◽  
Harmonious Development ◽  
City Space ◽  
Prevention System ◽  
System Point ◽  
Levels Of Integration

The paper deals with active disaster prevention of underground space by analysis of city vulnerability. City vulnerability includes structural and risk-based vulnerability. City structural vulnerability is mainly decided by the level of exposure and the degree of sensitivity of city to unexpected events. City risk-based vulnerability is mainly decided by the tolerance of city to risk and the probability of risk. As one of underused resources currently, underground space has the functions of reducing exposure of facilities, lowering sensitivity to disasters and improving tolerance to risks. Developing underground space is an important way to reduce city vulnerability effectively. Active disaster prevention of underground space is defined that underground space is an important and necessary part of city comprehensive disaster prevention system. Point, linear and surface underground space combines with ground disaster prevention space to form city three-dimensional disaster prevention space. We should integrate city space from the three-dimensional perspective and promote the construction of “reducing city vulnerability” in order for city harmonious development. The integration of city disaster prevention space includes three levels of integration in idea, function and entity.

The Planning Study of Disaster Comprehensive Prevention of Nanjing City

2014 ◽  
Vol 998-999 ◽  
pp. 1479-1482
Author(s):  
Zhi Long Chen ◽  
Xing Bin Wang ◽  
Hong Yu Yang ◽  
Xiao Bin Yang ◽  
Hua Xie
Keyword(s):  
Outer Space ◽  
Current Situation ◽  
Underground Space ◽  
Research Development ◽  
Disaster Prevention ◽  
Planning Study ◽  
City Space ◽  
Nanjing City ◽  
City Construction ◽  
Planning And Construction

The outer space of city, construction space and underground space are city’s material spaces with disaster prevention function and are direct carriers of disasters, this paper propsoses the concepts and approaches to integrate, recombine and share city spaces based on the current situation of city’s disasters and spaces for disaster prevention, puts forward ideas and concepts including “ active disaster prevention”, “comprehensive disaster prevention”, “evacuation center” combining the latest research development of nanjing city’s comprehensive disaster prevention planning, and conducts deeper research in aspects of improving the disaster prevention function of city space and inspring planning and construction of city disaster prevention.

Three-Dimensional Engineering Geology Data Warehouse Constructed by Power Designer

2013 ◽  
Vol 753-755 ◽  
pp. 3112-3115
Author(s):  
Jing Li Huang ◽  
Qing Wang ◽  
Qiu Ling Lang
Keyword(s):  
Data Base ◽  
Data Warehouse ◽  
Data Model ◽  
Engineering Geology ◽  
Three Dimensional ◽  
Soil Mass ◽  
Design Model ◽  
Underground Space ◽  
Geological Data ◽  
Rock And Soil

The Three-dimensional engineering geology data warehouse is constructed by Power Desinger16.1, with the theme as the rock and mass availability in urban underground space, and with the source data as the borehole data of engineering Investigation. Use the Model-driven Architecture method, reverse engineer the Access data base, extract existed data model, combine research theme to construct the Star data structure model. And check the SQL script in SQL Server2005, to ensure normal operation. 0 Forewords The traditional transaction-oriented designed engineering geology data base has the function to storage original data from work, to draw of geological section and to provide simple check and analysis, but without the decision support function in view of a subject. The purpose of construction a 3D engineering geological data warehouse is to build a decision support system in view of availability of rock and soil mass in urban underground space. Based on the data extraction, data integration, data cleaning and data transformation, the 3D engineering geological data warehouse could achieve the integrated management of massive geological data and to provide reliable data source for the rock and soil mass utilization system in urban underground space. The main feature of 3D engineering geological data base is subject-oriented, integrated, time-varying, relatively stable, and is magnanimous collection of engineering geological spatial data and attribute data. According to the design pattern of traditional data base, the construction of 3D engineering geological data warehouse can be divided into three stages: concept design model, logic design model and physical design model. But the 3D engineering geological data warehouse exist iterative in the construction process. Currently, there are many CASE tools to help developers quickly achieving the data base design, such as Rational Rose by Rational company, Erwin and Bpwin by CA company, Power Designer by Sybase company, Office Visio by Microsoft company, and Oracle Designer by Oracle company. The paper uses the Powerdesigner16.1 to achieve the logical data model (LDM) and physical data model (PDM).

scholarly journals Research on Technology and Application of Buried Faults Identification in Urban Underground Space

CONVERTER ◽  
2021 ◽  
pp. 848-860
Author(s):  
Hongzhao Li Et al.
Keyword(s):  
Urban Expansion ◽  
Three Dimensional ◽  
Earthquake Risk ◽  
Underground Space ◽  
Processing Technologies ◽  
Seismic Prospecting ◽  
Shallow Seismic ◽  
Migration Imaging ◽  
Depth Relationship ◽  
Buried Faults

With theurbanization rate's rising and three-dimensional expansion and development of urban, the identification of underground buried faults has become the key factor of earthquake risk in urban underground space and surface area. As a typical method of detecting blind faults in underground space, shallow seismic prospecting technology plays an important role in judging and avoiding potential risks such as underground faults in the process of urban expansion and site selection. In this paper, shallow seismic prospecting technology is adopted, and optimized processing technologies such as parameter test, tomographic correction, pre-stack denoising, fidelity and consistency processing, correction iteration, migration imaging, and time-depth relationship deduction are adopted. Underground faults are identified and interpreted in the studied urban area, and fault risk assessment is carried out based on fault characteristics, scale, distribution and overlying strata, thus providing suggestions for regional pattern and construction of urban planning.

Disaster Prevention Strategies: A Study on Underground Commercial Street

2016 ◽  
Vol 41 (3) ◽  
pp. 38-43
Author(s):  
Qin Yan ◽  
Yin Pan
Keyword(s):  
Open Space ◽  
Underground Space ◽  
Disaster Prevention ◽  
Prevention Strategies ◽  
Air Defense ◽  
Safety Issues ◽  
Potential Safety ◽  
Evacuation Routes ◽  
The City ◽  
Commercial Street

Planning for underground spaces has become an effective way to use central areas in cities given the steady economic growth in China. The development of underground spaces in mountainous cities has satisfied the needs of the diversification of the city commercial areas and pedestrian movement. Safety issues exist because these underground spaces were originally used for civil air defense. This study was based on the underground commercial street in Chongqing, which is a typical mountainous city. Based on the results of combined fieldwork and survey, this paper summarized current safety issues, which include the not-fully-open exit, the imbalanced exit location, blocked evacuation routes, and the poor awareness of the potential safety issues. This paper proposed a framework of the safety factors for the underground space and synopsized prevention strategies that are specific to potential disasters in the underground environment. The framework comprises ensuring that the exits are fully open, the underground corridors are kept unblocked, the open space on the street is increased for disaster prevention, and equipment security is maintained and managed. At last, This paper summarized disaster prevention strategies, which include ensuring unimpeded exits, balancing the locations of the exits, avoiding blocks, increasing the disaster prevention square area in the underground space, maintaining and managing the security of the equipment.

Development of Disaster Prevention System Based on Deep Neural Network using Deep Learning with Dropout

2019 ◽  
Vol 91 (sp1) ◽  
pp. 186 ◽  
Author(s):  
Yeon-Joong Kim ◽  
Eisaku Yura ◽  
Tea-Woo Kim ◽  
Jong-Sung Yoon
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Deep Neural Network ◽  
Disaster Prevention ◽  
Prevention System

A Disaster Prevention System in the Transportation of Dangerous Goods by Using IP-RFID

2012 ◽  
Vol 6 (1) ◽  
pp. 384-390 ◽  
Author(s):  
Min Je Cho ◽  
Hyung Rim Choi ◽  
ByungKwon Park ◽  
Kangbae Lee ◽  
Soon Goo Hong ◽  
...  
Keyword(s):  
Disaster Prevention ◽  
Dangerous Goods ◽  
Prevention System

Site Selection of Underground Space for Disaster Prevention Based on GIS

2011 ◽  
Vol 71-78 ◽  
pp. 4858-4863
Author(s):  
Zi Wei Zhao ◽  
Xing Bin Wang
Keyword(s):  
Site Selection ◽  
Indicator System ◽  
Assessment Model ◽  
Underground Space ◽  
Disaster Prevention ◽  
Gis Technology ◽  
Urban Disaster ◽  
Gis Data ◽  
Selection Of ◽  
Improve Planning

Underground space for disaster prevention is a key component of urban disaster prevention system. The study applied GIS technology, established an indicator system and a comprehensive assessment model for site selection of urban underground space for disaster prevention. The result of the study, which is on the basis of GIS data collection and model principle, provided quantitative foundation for disaster prevention planning of underground space, and also helped to improve planning management and decision making.

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