Deterministic QRA Model and Implementation Experience via an Integrity Management Software Tool

2010 ◽  
Author(s):  
Jane Dawson ◽  
Iain Colquhoun ◽  
Inessa Yablonskikh ◽  
Russell Wenz ◽  
Tuan Nguyen
Keyword(s):  
Risk Assessment ◽  
Geographical Information Systems ◽  
Risk Model ◽  
Software Tool ◽  
Data Availability ◽  
Quantitative Risk Assessment ◽  
Geographical Information ◽  
Failure Rates ◽  
Assessment Practice ◽  
Integrity Management

Current risk assessment practice in pipeline integrity management tends to use semi-quantitative index-based or model-based methodologies. This approach has been found to be very flexible and provide useful results for identifying high-risk areas and for prioritizing physical integrity assessments. However, as pipeline operators progressively adopt an operating strategy of continual risk reduction with a view to minimizing total expenditures within safety, environmental, and reliability constraints, the need for quantitative assessments of risk levels is becoming evident. Whereas reliability-based quantitative risk assessments can be and are routinely carried out on a site-specific basis, they require significant amounts of quantitative data for the results to be meaningful. This need for detailed and reliable data tends to make these methods unwieldy for system-wide risk assessment applications. This paper describes methods for estimating risk quantitatively through the calibration of semi-quantitative estimates to failure rates for peer pipeline systems. By applying point value probabilities to the failure rates, deterministic quantitative risk assessment (QRA) provide greater rigor and objectivity than can usually be achieved through the implementation of semi-quantitative risk assessment results. The method permits a fully quantitative approach to suit the operator’s data availability and quality, and analysis needs. The paper also discusses experiences of implementing this type of risk model in Pipeline Integrity Management System (PIMS) software and the use of and integration of data via existing pipeline geographical information systems (GIS).

Environmental Toxicity Testing in the Risk Assessment of a Metal Contaminated Abandoned Mining Site in Hungary

2007 ◽  
Vol 20-21 ◽  
pp. 193-196 ◽  
Author(s):  
Katalin Gruiz ◽  
E. Vaszita ◽  
Z. Siki
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Risk Model ◽  
Single Species ◽  
Soil Microflora ◽  
Quantitative Risk Assessment ◽  
Geographical Information ◽  
Catchment Scale ◽  
Site Specific ◽  
Qualitative Risk Assessment

A three tiered, iterative Environmental Risk Assessment methodology, including preliminary Qualitative Risk Assessment, Quantitative Hazard Assessment and Site Specific Quantitative Risk Assessment, was established to assess the environmental risk of point and diffuse pollution of mining origin at catchment scale [1]. The model site was an abandoned Pb and Zn sulphide ore mine in Gyöngyösoroszi, Toka-valley, NE Hungary [2]. The Integrated Risk Model considers the sources identified by the GIS-based (Geographical Information System) pollution map, the transport routes shown by the GIS-based flow accumulation model and the receptors of different land uses in the catchment. The site-specific quantitative risk was characterised by the Soil Testing Triad [3]. The three elements of the Triad are: physico-chemical analyses of the soil and the contaminants, the biological characterisation and ecotoxicity testing of the contaminated soil, measuring the response of single species in laboratory bioassays, the natural response of the soil microflora and plants or the dynamic response of the whole soil in microcosms. The Triad approach strongly supports the characterisation of the site specific risk as well as the selection and planning of the suitable remediation option.

Utilizing Modern Data and Technologies for Pipeline Risk Assessment

2016 ◽  
Author(s):  
David Mangold ◽  
Ryan Huntley
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Overland Flow ◽  
Risk Model ◽  
Data Availability ◽  
Quantitative Risk Assessment ◽  
Risk Modeling ◽  
Risk Models ◽  
Core Element ◽  
Gas Dispersion

Risk management of gas and hazardous liquid pipeline systems is a core element of US integrity management regulations (49 CFR part 192, subpart O; 49 CFR 195.452) and a challenging responsibility facing operators worldwide. The importance of health, safety, and environmental protection demands a continuous evolution of industry expectations, practices, and regulations, with regulators and operators invariably seeking ways to advance risk modeling methodologies for pipeline risk assessment. The evolution to more advanced risk modeling methodologies marks a transitional trend from simple, relative risk models to robust, quantitative risk models. A common challenge when implementing a more advanced risk model is supplying sufficient supporting data. This challenge highlights a necessary, parallel progression; the expansion of data availability and improvement of data quality to support risk management. Many data resources have become available to aid this progression through advancements in spatial processing, computational technologies, and data collection and availability across industries. Powerful analysis tools are now available to supply pressure loss, overland flow, liquid trace, and gas dispersion information to enhance risk modeling, along with a vast and increasing amount of publicly available data and statistics. Proper integration of this information can greatly reduce the challenges associated with the implementation of quantitative risk assessment and better support risk-based decision making. This paper details the availability and utilization of modem data and technologies for pipeline risk assessment. Examples are provided which illustrate the integration of data and technology resources to support a robust, quantitative risk model.

scholarly journals Impacts of Urban Floods on Road Connectivity - A Review and Systematic Bibliometric Analysis

2021 ◽  
Vol 16 (2) ◽  
pp. 575-593 ◽  
Author(s):  
Ashok Kadaverugu ◽  
Kasi Viswanadh Gorthi ◽  
Nageshwar Rao Chintala
Keyword(s):  
Geographical Information Systems ◽  
Early Warning Systems ◽  
Data Availability ◽  
Geographical Information ◽  
Economic Losses ◽  
Flood Inundation ◽  
Risk Modeling ◽  
Urban Centers ◽  
Urban Floods ◽  
Remote Sensing Methods

Urban floods are paralyzing surface transportation and inflicting heavy economic losses. Climate-induced increase in frequency and intensity of rainfalls and excessive urbanization makes urban centers even more vulnerable to floods. It is necessary to quantify all dimensions of losses caused to road connectivity to improve flood mitigation policy. There is a need to consolidate the existing body of peer-reviewed contemporary literature on flood inundation modeling and its impacts on road connectivity. This will improve the awareness of policymakers and researchers and help in science-based decision making. Articles archived in the Web of Science database having the keywords floods and road in their title published between 1977 and 2020 were analyzed using the blibliometrix library of R. Analysis shows that the flood inundation and flood extent modeling has evolved from the conventional hydrological models to the near real-time crowd-sourced modeling methods. Applications of geographical information systems and advanced remote sensing methods have been growing in identifying road network vulnerabilities. We observed a gap in harmonized data availability, due to the unstructured data formats at several scales, which hinders a generalized approach for flood risk modeling studies for urban planning. Concentrated efforts have to be made to fill the gaps in data availability and research methodologies, especially using crowd-sourced data. Further, efforts have to be made to increase awareness, early warning systems, and alternate transport networks, to make the cities less vulnerable to floods.

scholarly journals Visualisation Techniques For Facilitating Stakeholder Decision Making In Urban Planning

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Andrew J Rixon ◽  
Stewart Burn
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Geographical Information Systems ◽  
Local Community ◽  
Software Tool ◽  
Geographical Information ◽  
Traffic Flows ◽  
Urban Context ◽  
Decision Making Processes

Public participatory geographical information systems (PPGIS) are becoming widely recognised as powerful tools for informed participatory decision-making processes within urban planning projects. This paper discusses a technique recently used within a case study for providing visualisations of traffic flows and how to incorporate local community perceptions of their neighbourhoods into a PPGIS software tool. In particular, the paper demonstrates a new methodology for visualisation of qualitative social data, facilitating dialogue and discussion amongst stakeholders and planning professionals in an urban context. The paper concludes with a discussion on techniques for developing software and presenting visualisations in an understandable and usable manner catering for a diversity of participants.

Integrating History and Measurement Into a Case for Site Release

2011 ◽  
Author(s):  
Angela Bartlett ◽  
Mike Davies ◽  
Peter Burgess ◽  
Gavin Coppins
Keyword(s):  
Geographical Information Systems ◽  
Nuclear Research ◽  
Research Programme ◽  
Software Tool ◽  
Site Investigation ◽  
Geographical Information ◽  
Quality Data ◽  
Positioning Systems ◽  
Types Of Information ◽  
Site Release

The United Kingdom nuclear research programme started in the 1940s. Research Sites Restoration Limited (RSRL) is responsible for the restoration of two sites which were at the forefront of this research, under a programme funded by the UK Nuclear Decommissioning Authority (NDA). These are the 100 hectare Harwell site in Oxfordshire and the 84 hectare Winfrith site on the south coast of England. The work performed on these sites covered a huge range of nuclides, combinations of nuclides, chemical and physical processes, far more complicated than a power station, for example. The sites have a complex history with records of hundreds of buildings, many kilometres of drainage systems, groundwater contamination issues and land areas which require remediation. Formal work towards site release began in the 1990s, but demolition and clearance for re-use started many years earlier. An efficient restoration programme requires appropriate quality data. It is vital to decide what you need to know and how well you need to know it. As part of this, a challenging number of factors need to be considered in its design. This paper discusses these factors using the examples of the approach used at the Harwell and Winfrith sites including: • historical knowledge and associated uncertainties; • relevant clearance criteria; • availability and limitations of surveying equipment; • effective targeted and validation sampling with appropriate analytical methods; • data capture and analysis techniques; • effective communication between RSRL and the relevant technical teams; • mapping technologies (Global Positioning Systems, Geographical Information Systems); • use of Babcock’s IMAGES land quality software tool; • integration of the above over long time scales. The RSRL programme of works at the Harwell and Winfrith Sites is producing large volumes of different types of information from decommissioning, site investigation and remediation projects. This will be required to be accessible and understandable to support the process of site release which will continue over many years. The paper illustrates the methods by which RSRL is using effective knowledge management to compile a verifiable record to support site release as the site restoration works progress.

A New Risk Assessment Model to Check Safety Threats to Long-Distance Pipelines

2021 ◽  
Author(s):  
Duhui Lu ◽  
Guangpei Cong ◽  
Bing Li
Keyword(s):  
Risk Assessment ◽  
Protective Layer ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Risk Assessment Model ◽  
Long Distance ◽  
Proposed Model ◽  
Integrity Management ◽  
Current Assessment ◽  
Inspection Data

Abstract With the number of long-distance pipelines increasing in China, risk management has become important for controlling pipeline leakage. However, all the current assessment technologies are semi-quantitative and do not include inspection data. To address this problem, a new quantitative risk assessment model is proposed to guide decision-making on excavation inspection and maintenance. Based on previous failure cases, the model includes data about the surrounding soils as well as about the pipeline's protective layer, cathodic protection and thickness readings. Testing of the proposed model on previous failure cases shows that the new model can correctly assess the real leakage risk of a long-distance pipeline and support the quantitative integrity management of a long-distance pipeline during its whole service life.

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