Floods Static Evaluation Research Methods In The Section Of The Shaanxi-beijing Gas Pipeline Linxian County

The transportation of pipelines is of low cost and safety, especially for the long distancetransportation flammable and explosive oil, natural gas and other products. However, as aform of linear infrastructure projects, oil and gas pipelines have a long distance and spancharacteristics, meteorological and geological disaster risk along with larger differences,it is difficult to determine the focus of effective prevention and control of the area, either asection of the accident impact across the board, a huge loss. Oil and gas pipelines in the LoessPlateau region, for example, soil erodibility high line area, serious soil erosion, heavyrainfall in summer can cause severe short-terrain changes so frequently exposed pipelineburied underground and displacement endanger the safe operation of the pipelineflooding risk events. Cross the river flood-induced oil and gas pipeline failure risk has alwaysbeen a weak link in the safe operation of oil and gas pipeline management, hydraulicengineering measures to protect highly valued. However, the high cost of hydraulicengineering protection, fortification standards are not clear, hard to implement in a longpipeline across the board. Therefore, need a simple and effective method of flood riskassessment, identify high-risk segments to focus on effective prevention and control.Linear infrastructures inevitably go across rivers. For different crossed rivers, largedifferences may exist in their catchment areas, topography, rainfall, underlying conditions andso on, and then their flood threat will vary among corresponding infrastructure segments.Therefore, a simple but effective assessment method for flood threat is badly needed. In thispaper, the section of the Shaanxi-Beijing Gas Pipeline in Linxian County, Shanxi Provincewas chosen for case study. Firstly, flood factors were quantified for each crossed rivers,including the area, rainfall, elevation difference, planar shape, land use, vegetation index ofeach river catchment, and thelongitudinal slope and cross-sectional elevation difference ofeach cross-over region. Secondly, according to historical flood damage records,themultivariate linear regression and logistic regression methods were used to determine thedominant flood risk factors and their weight coefficients, and to accomplish thecomprehensive assessment of flood threat. Finally, the flood threat zoning map of the Shaanxi-Beijing Gas Pipeline in Linxian County is obtained. The result would provide a basisfor the formulation and implementation of protection measures in pipeline safety management,and the method in this paper could be a reference for similar flood threat assessments forlinear infrastructures.