# Numerical Simulation of Oil Pipeline Leakage Diffusion in Dashagou Yellow River Crossing Section
## 1 Introduction
After the oil spills into the river due to pipeline damage, its diffusion law will be affected by velocity, river bed topography, groundwater ring and other factors, changing the diffusion speed and causing varying degrees of damage and pollution to the water quality[PERSON] microorganisms, animals and plants of the river. Many scholars have conducted a series of studies on oil pipeline leakage. [PERSON] et al[PERSON] [23] proposed a grey correlation method for assessing the impact of oil pipeline leakage on river pollution so as to improve the accuracy of the assessment[PERSON] Based on FLUENT, [PERSON] [24] analyzed the diffusion process of crude oil in the water body during the floating process when the underwater crude oil transportation pipeline leaks and studied the diffusion shape and diffusion law of the leaked crude oil when it reaches the water surface under conditions of no wind or wind. Considering the corresponding parameters of pipeline leakage, [PERSON] et al. [25] proposed a method of oil pipeline leakage detection based on dynamic nuclear independent component analysis, aiming at the problems of time-series autocorrelation of pipeline parameters and low leakage detection accuracy. [PERSON] et al. [26] proposed a pipeline leak detection method based on second-generation wavelet transform and multistage hypothesis testing to solve the difficult problem of accurate judgment and location of slow leakage in oil pipelines. [PERSON] et al. [27] used the nonlinear time series prediction method based on BP neural network to establish the new information model and the leak detection model of the pipeline leak monitoring system, which can effectively discover leaks online and in real time. [PERSON] et al. [28], from the perspective of signal processing, proposed a complete automatic identification scheme for oil pipeline leakage signals based on the characteristics of dynamic pressure wave signals. Okpare, O.A [29] and other wireless sensor networks use pressure changes to detect and locate prototype oil pipeline leaks. Wireless sensor networks will be able to monitor oil pipeline leaks, thereby reducing environmental degradation and economic losses caused by oil spills. [PERSON] et al. [30] realized intelligent monitoring and predictive maintenance of oil pipelines by using collaborative cloud services. [PERSON] et al. [31]. optimized the extraction method through the benchtop study of SPME. They selected the right fiber material and exposure time for each BTEX compound to improve analysis efficiency and accuracy while minimizing environmental impact, resulting in more reliable pipeline leak field study data. Based on the work of many scholars, this paper takes the Dashagou Yellow River section oil pipeline as the research area. Numerical simulation based on ANSYS software is used to analyze the leakage diffusion process of the oil pipeline across the river under different leakage models as well as the solute transport law of the groundwater in order to provide the theoretical support as well as the scientific basis for the pollution of the groundwater by leakage from the petroleum pipeline.