摘要：Refined oil pipelines crossing mountainous regions face elevated risks of rupture and spill, particularly in rugged terrains with steep slopes and frequent natural hazards. To improve the prediction of spill spread under such conditions, this study presents an integrated simulation framework combining Smoothed Particle Hydrodynamics (SPH) with Digital Elevation Modeling (DEM). The mesh-free SPH method enables efficient modeling of free-surface flows over complex terrain, while DEM provides high-resolution topographic input reflecting real geographic features. The proposed model incorporates critical environmental factors including slope gradients, vegetation-induced surface roughness, and oil-soil adsorption. A series of numerical experiments investigate how terrain, flow rate, leakage orientation, and initial velocity influence spill dynamics. Validation against published laboratory data demonstrates that the model reliably reproduces fluid spreading behavior. Compared to conventional computational fluid dynamics approaches, this SPH-DEM framework for emergency response modeling reduces simulation time from several hours to under 5 min, making it well-suited for rapid scenario analysis and emergency response support. Results show that terrain geometry strongly dictates spill pathways, while higher flow rates and initial velocities significantly expand the affected area. These findings provide a practical tool for spill risk assessment in mountainous regions and contribute to more effective pipeline safety management and mitigation planning. ? 2025 Author(s).

ISSN号：1070-6631

卷、期、页：卷37期10

发表日期：2025-10-01

期刊分区（SCI为中科院分区）：二区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：Physics of Fluids

参与作者：李兴涛,禹盛阳

通讯作者：张展,郑豪,彭景

第一作者：王科

论文类型：期刊论文

论文概要：王科,张展,郑豪,李兴涛,禹盛阳,彭景，Prediction of refined oil spill trajectories in mountainous terrain using a workflow combining smoothed particle hydrodynamics and digital elevation models，Physics of Fluids，2025，卷37期10

论文题目：Prediction of refined oil spill trajectories in mountainous terrain using a workflow combining smoothed particle hydrodynamics and digital elevation models