The Development of the PIPESAFE Risk Assessment Package for Gas Transmission Pipelines

Author(s):  
Michael R. Acton ◽  
Phil J. Baldwin ◽  
Tim R. Baldwin ◽  
Eric E. R. Jager

PIPESAFE is a knowledge based hazard and risk assessment package for gas transmission pipelines, which has been developed jointly by an international group of gas transmission companies. PIPESAFE has been developed from the BG (formerly British Gas) TRANSPIRE package, to produce an integrated assessment tool for use on PCs. which includes a range of improvements and additional models backed by large scale experimentation. This paper describes the development of the PIPESAFE package, and the formulation and validation of the mathematical models included within it.

2021 ◽  
Author(s):  
Simon Allen ◽  
Tobias Bolch ◽  
Holger Frey ◽  
Guoqing Zhang ◽  
Guoxiong Zheng ◽  
...  

<p>Widespread retreat of glaciers has accelerated over recent decades in most mountain regions as a consequence of global warming, leading to rapid expansion of glacial lakes, bringing related risks.<sup></sup>When water is suddenly released, Glacial Lake Outburst Floods (GLOFs) can devastate lives and livelihoods up to hundreds of kilometres downstream of their source. This threat is most apparent in High Mountain Asia (HMA), home to >200 million inhabitants, and where >150 GLOFs have been recorded from moraine dammed lakes alone. Here we reflect on our recent experience working across HMA to outline key learnings, challenges and perspectives in applying GLOF hazard and risk assessment at various scales, with an emphasis on how results have or can inform local response planning.</p><p>The number of large-scale assessment studies has increased exponentially over recent years, often giving inconsistent results in terms of what are considered potentially dangerous lakes. This makes it difficult for authorities and funding agencies to identify where more detailed hazard mapping and risk management strategies should be targeted, especially in cases where the science may not be aligned with local understanding and experience. We therefore recommend a consensus approach, drawing across multiple studies, and including the knowledge of local authorities to arrive at a final listing of high priority lakes which may be subject to further monitoring, Early Warning Systems and other response strategies. In our stakeholder interactions, we have particularly emphasised that GLOFs from even relatively small lakes can lead to significant damages when combined with other hazardous processes, e.g., the case of 2013 Chorabari GLOF combining with monsoon flooding and landslides in Northern India, or the 2016 outburst from Gongbatongshaco, Chinese Himalaya, Tibet, where erosion and bulking was significantly enhanced as a consequence of the Gorkha earthquake occurring a year earlier.</p><p>Looking to the future, several assessment studies have now combined modelling of glacier bed topography to identify where new lakes could emerge in the future, and even combined this information with changing exposure levels (e.g., planned hydropower development). However, there are challenges around communicating these uncertain future hazards and risks, and to what extent they should be considered in planning. In the transboundary Poiqu basin originating in Tibet, we have focussed on worst-case scenario modelling for such a future lake, demonstrating that flow depths and velocities would exceed the threat from current lakes, and the peak wave would reach the border with Nepal up to 20 minutes faster. Open questions remain around how triggering processes will evolve in the future. Most assessments currently focus on cascading process chains triggered by ice or rockfall, whereas under a wetter and warmer future climate, heavy rainfall and snowmelt as a direct or indirect trigger could become increasingly important. Further, major uncertainties arise from socio-economic developments and related changes in exposure and vulnerability, that could, in some regions, be the most significant drivers of future GLOF risk. Ultimately, forward-looking, GLOF hazard and risk assessment must ensure that response strategies remain robust in the face of ongoing environmental and societal change.</p>


Author(s):  
Michael R. Acton ◽  
Tim R. Baldwin ◽  
Eric E. R. Jager

PIPESAFE is a hazard and risk assessment package for gas transmission pipelines, developed by Advantica for an international group of gas pipeline companies. Although the likelihood of failure of transmission pipelines is very low, the possibility of failure and a subsequent fire cannot be discounted. PIPESAFE provides the means to take consistent and informed decisions on risk issues, including infringements to pipeline design codes, uprating of pipelines (i.e. to operate at higher pressures), pipeline routeing and land use planning. The development of PIPESAFE was first reported at IPC ’98. This paper describes recent enhancements to the package, validation of the predictions against full-scale experiments and incidents, and modifications to the risk calculation methods. The paper also describes risk criteria developed in the UK and The Netherlands, the background to their development, and the use of PIPESAFE to generate risk criteria included in the latest edition of the UK pipeline code IGE/TD/1.


Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Didier Hantz ◽  
Jordi Corominas ◽  
Giovanni B. Crosta ◽  
Michel Jaboyedoff

There is an increasing need for quantitative rockfall hazard and risk assessment that requires a precise definition of the terms and concepts used for this particular type of landslide. This paper suggests using terms that appear to be the most logic and explicit as possible and describes methods to derive some of the main hazards and risk descriptors. The terms and concepts presented concern the rockfall process (failure, propagation, fragmentation, modelling) and the hazard and risk descriptors, distinguishing the cases of localized and diffuse hazards. For a localized hazard, the failure probability of the considered rock compartment in a given period of time has to be assessed, and the probability for a given element at risk to be impacted with a given energy must be derived combining the failure probability, the reach probability, and the exposure of the element. For a diffuse hazard that is characterized by a failure frequency, the number of rockfalls reaching the element at risk per unit of time and with a given energy (passage frequency) can be derived. This frequency is relevant for risk assessment when the element at risk can be damaged several times. If it is not replaced, the probability that it is impacted by at least one rockfall is more relevant.


2021 ◽  
pp. 112334
Author(s):  
Serena Santonicola ◽  
Stefania Albrizio ◽  
Maria Carmela Ferrante ◽  
Mercogliano Raffaelina

Chemosphere ◽  
1997 ◽  
Vol 34 (1) ◽  
pp. 179-190 ◽  
Author(s):  
Martin Murín ◽  
Juraj Gavora ◽  
Iveta Drastichová ◽  
Elena Dušková ◽  
Torben Madsen ◽  
...  

2013 ◽  
Vol 8 (2) ◽  
pp. 328-345 ◽  
Author(s):  
Masashi Matsuoka ◽  
◽  
Hiroyuki Miura ◽  
Saburoh Midorikawa ◽  
Miguel Estrada ◽  
...  

Lima City, Peru, is, like Japan, on the verge of a strike by a massive earthquake. Building inventory data for the city need to be created for earthquake damage estimation, so the city was subjected to the extraction of spatial distribution of building age from Landsat satellite time-series images and an assessing building height from ALOS/PRISM images. Interband calculation of Landsat time-series images gives various indices relevant to land covering. The transition of indices was evaluated to clarify urban sprawl taking place in the northern, southern, and eastern parts of Lima City. Built-up area data were created for buildings by age. The height of large-scale mid-to-highrise buildings was extracted by applying spatial filtering for a DSM (Digital Surface Model) generated from stereovision PRISM images. As a result, buildings with a small square measure, color similar to that of their surroundings, or complicated shapes turned out to be difficult to detect.


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