QRA-Grid: Quantitative Risk Analysis and Grid-based Pre-warning Model for Urban Natural Gas Pipeline

Abstract

With the increasing use and complexity of urban natural gas pipelines, the occurrence of accidents owing to leakage, fire, explosion, etc., has increased. Based on Quantitative Risk Analysis (QRA) models and Geographic Information System (GIS) technology, we put forward a quantitative risk simulation model for urban natural gas pipeline, combining with a multi-level grid-based pre-warning model. We develop a simulation and pre-warning model named QRA-Grid, conducting fire and explosion risk assessment, presenting the risk by using a grid map. Experiments show that by using the proposed method, we can develop a fire and explosion accident pre-warning model for gas pipelines, and effectively predict areas in which accidents will happen. As a result, we can make a focused and forceful policy in areas which have some potential defects in advance, and even carry out urban planning once more, rebuilding it to prevent the risk.

Maximum Allowable Service Pressure for Steel Pipes Used for Transport of Hydrogen Pure or Blended with Natural Gas

“…For pipes used for hydrogen transport, the highest value of admissible risk [14] is a probability of occurrence of P r = 10 -5 .…”

A Study on a Matching Algorithm for Urban Underground Pipelines

“…The geometric similarity is the weighted combination of length similarity, angle similarity, and distance similarity, as shown in Equation (3). If the geometric similarity is higher than a given threshold, then we calculate the structural similarity between S 1 and S to check if their spatial scenes are matched, as shown in Equation (4). Strokes with geometric similarity lower than the threshold are deemed unmatched strokes, and their structural similarity does not need to be calculated.…”

“…Urban underground pipelines, which are known as "urban blood vessels", consist of a series of pipelines for water supply, drainage, gas, heat, electricity, communications, television transmission, and other industries [1]. Underground pipeline data play a key role in smart cities, disaster evaluation, and so on [2][3][4]. For different applications, there are differences in the data model, location accuracy, and attribute information, especially between integrated underground pipeline data and professional underground pipeline data, which are collected by different departments.…”

A Praxis on Data Quality Evaluation of Underground Pipeline

“…With the rapid development of cities, many pipelines are moving into underground to free more space and land for city re-planning, such as power line, utility lines and so on. Underground pipeline plays crucial role in city development, disaster management (Eskandari et al, 2017;Li et al, 2019Li et al, , 2018. Underground pipeline is more complex owing to it is buried under the ground.…”