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Application of the Levenburg–Marquardt back propagation neural network approach for landslide risk assessments
2019
Natural Hazards and Earth System Sciences
<p><strong>Abstract.</strong> Landslide disasters are one of the main risks involved with the operation of long-distance oil and gas pipelines. Because previously established disaster risk models are too subjective, this paper presents a quantitative model for regional risk assessment through an analysis of the patterns of historical landslide disasters along oil and gas pipelines. Using the Guangyuan section of the Lanzhou–Chengdu–Chongqing (LCC) long-distance multiproduct oil pipeline
doi:10.5194/nhess-19-629-2019
fatcat:faoe3dq25zfz5mvjlgezgip2ku