A REAL-TIME GIS PLATFORM FOR HIGH SOUR GAS LEAKAGE SIMULATION, EVALUATION AND VISUALIZATION

The development of high-sulfur gas fields, also known as sour gas field, is faced with a series of safety control and emergency management problems. The GIS-based emergency response system is placed high expectations under the consideration of high pressure, high content, complex terrain and highly density population in Sichuan Basin, southwest China. The most researches on high hydrogen sulphide gas dispersion simulation and evaluation are used for environmental impact assessment (EIA) or emergency preparedness planning. This paper introduces a real-time GIS platform for high-sulfur gas emergency response. Combining with real-time data from the leak detection systems and the meteorological monitoring stations, GIS platform provides the functions of simulating, evaluating and displaying of the different spatial-temporal toxic gas distribution patterns and evaluation results. This paper firstly proposes the architecture of Emergency Response/Management System, secondly explains EPA’s Gaussian dispersion model CALPUFF simulation workflow under high complex terrain and real-time data, thirdly explains the emergency workflow and spatial analysis functions of computing the accident influencing areas, population and the optimal evacuation routes. Finally, a well blow scenarios is used for verify the system. The study shows that GIS platform which integrates the real-time data and CALPUFF models will be one of the essential operational platforms for high-sulfur gas fields emergency management.

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Turbodrill Bottomhole Assembly and Real-Time Data Improve Through-Tubing Coiled-Tubing Drilling Operations in Sour Gas Well

10.2118/177607-ms ◽

2015 ◽

Cited By ~ 2

Author(s):

A. Ebrahimi ◽

P. J. Schermer ◽

W. Jelinek ◽

D. Pommier ◽

S. Pfeil ◽

...

Keyword(s):

Real Time ◽

Time Data ◽

Gas Well ◽

Coiled Tubing ◽

Real Time Data ◽

Drilling Operations ◽

Sour Gas

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Precipitation scavenging of atmospheric aerosols for emergency response applications: testing an updated model with new real-time data

Atmospheric Environment ◽

10.1016/j.atmosenv.2003.10.055 ◽

2004 ◽

Vol 38 (7) ◽

pp. 993-1003 ◽

Cited By ~ 93

Author(s):

Gwen A. Loosmore ◽

Richard T. Cederwall

Keyword(s):

Real Time ◽

Emergency Response ◽

Atmospheric Aerosols ◽

Time Data ◽

Precipitation Scavenging ◽

Real Time Data

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Real-Time Data Visualisation in Collaborative Virtual Environment for Emergency Management

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/ijiscram.2013100102 ◽

2013 ◽

Vol 5 (4) ◽

pp. 13-44 ◽

Cited By ~ 1

Author(s):

Pan Wang ◽

Ian Bishop

Keyword(s):

Emergency Management ◽

Real Time ◽

Virtual Environment ◽

Spatial Information ◽

System Development ◽

Research Approach ◽

Prototype System ◽

Time Data ◽

Collaborative Virtual Environment ◽

Real Time Data

A collaborative virtual environment (CVE) is a shared virtual environment used for collaboration of many participants that may be spread over large distances. CVEs have been widely used in emergency management, especially for education, training and assessment. This paper describes the design and implementation of a prototype system that facilitates emergency management via a CVE using real-time spatial information. In particular, a method for automatic integration, modeling and visual simulation using real-time data from multiple online sources is proposed. Moreover, strategies are presented for using CVE-based scenarios for carrying out training, and testing preparedness measures. A novel technique has also been developed for real-time situation monitoring. Based on a system development (SD) research approach, the performance and functionality of the system was tested and evaluated. The use of real-time data acquisition and simulation was deemed to improve the processes of emergency management by increasing engagement, enhancing training and supporting decision-making of first responders and emergency managers.

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Real-time data fusion and visualization in support of emergency response operations

2009 IEEE Conference on Technologies for Homeland Security ◽

10.1109/ths.2009.5168067 ◽

2009 ◽

Cited By ~ 3

Author(s):

Anthony Intorelli ◽

Dave Braig ◽

Ryan Moquin

Keyword(s):

Data Fusion ◽

Real Time ◽

Emergency Response ◽

Time Data ◽

Real Time Data

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Cloud Computing and Internet of Things in the Evaluation of Ecological Environment Quality in Rural Tourist Areas in Smart Cities

Mobile Information Systems ◽

10.1155/2021/6295568 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Ling Ding ◽

Yezhang Liang

Keyword(s):

Cloud Computing ◽

Real Time ◽

Rural Tourism ◽

Ecological Environment ◽

Ecological Health ◽

Time Data ◽

Environment Quality ◽

Real Time Data ◽

Gis Platform

With the increase of tourist environment, the real-time monitoring of ecological environment has become a concern. This study mainly discusses the application of cloud computing and Internet of things in the evaluation of ecological environment quality of rural tourism areas in a smart city. In this study, the real-time monitoring of the atmosphere, water, and meteorological data is collected through the GPRS data transmission module and then sent back to the local server by the GPRS network, and the obtained non-real-time and real-time data are used to establish the ecological monitoring database, the database analysis of its information, and get real-time data, monthly data, and longer cycle data. In the cloud GIS platform, there are multiple subnodes. The split tasks can be processed by each subnode through a map, and the results after processing can be summarized through reduce, which completes the implementation process of the whole idea of map reduce. Monitoring station management is mainly to establish monitoring stations in rural tourism areas and collect first-hand environmental monitoring data by using temperature, humidity, infrared, ultrasonic, and other sensors and cameras. The monitoring objects are the air quality, water quality, meteorology, etc. of the scenic area, mainly showing the location of monitoring stations and the placement of sensors. At the same time, an LED screen is set at the monitoring station to display the air quality data of the scenic spot. The data content is introduced into the DPSIR model, combined with social and economic data; according to the ecological health grading evaluation standard, the evaluation score and health grade are obtained and the ecological health status of rural tourism area is judged and evaluated. When the amount of data is less than 500 MB, there is little difference between the storage speed of the cloud GIS platform and single machine, but with the continuous increase of the amount of data, the storage speed of the cloud GIS platform is significantly higher than that of a single machine. This study is helpful in improving the ecological environment quality of rural tourism areas.

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A Smart Pipeline Monitoring and Emergency Response System Using Web Services

Volume 13: Safety Engineering, Risk, and Reliability Analysis ◽

10.1115/imece2019-11825 ◽

2019 ◽

Author(s):

Wadie Chalgham ◽

Mihai Diaconeasa ◽

Khalid Elgazzar ◽

Abdennour Seibi

Keyword(s):

Real Time ◽

Monitoring System ◽

Data Visualization ◽

Emergency Response ◽

Structural Safety ◽

Pipeline System ◽

Statistical Control ◽

Time Data ◽

Real Time Data ◽

Pipeline Monitoring

Abstract The Smart Pipeline Monitoring System introduced in this paper demonstrates a proof-of-concept for replicating a full-scale water pipeline system that is able to monitor the pipeline health and respond to hazard conditions through the use of multiple sensors and a statistical monitoring control strategy. The system aims at mitigating the effects of common sources of damage that occur in pipelines, such as leaks and overheating, by offering real time data visualization and autonomous actions in case of emergencies. The data visualization is provided by a desktop user interface and a mobile application. In the case of a detected anomaly, described by out-of-bounds/out-of-statistical control conditions detected by the sensors, the system is programmed to shut off its pump and alert the supervisors by SMS instantly. The proposed monitoring system will enhance remote pipeline monitoring and structural safety by offering real-time data and automatic emergency response capabilities. Our experimental results and prototype implementation show that the proposed system effectively detects anomaly conditions under various realistic scenarios and takes necessary safety measures to prevent further damages.

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