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针对内河中非挥发性危险化学品(危化品)运输船舶的泄漏扩散问题,建立了一种通用数值模拟方法,研究了内河非溶解性危化品泄漏扩散过程的影响因素。结果表明:危化品的密度和黏度对内河危化品泄漏扩散过程的影响相对较小,而水流速率和危化品泄漏速率对危化品泄漏扩散过程的影响较大;水流速率对危化品泄漏扩散过程的影响主要表现在泄漏扩散范围(尤其是泄漏区域长度)方面,而危化品泄漏速率的影响主要表现在泄漏区域宽度、微团数量以及最大微团面积方面。建议应针对丰水期危化品大泄漏量的情况展开监管,并将其作为内河危化品泄漏应急工作的重点。 相似文献
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针对油田单井拉油罐非密封生产带来的油气泄漏问题,建立小型原油储油罐挥发损耗实验模拟平台,通过气相色谱法探究各因素对其损耗的影响,利用Fluent仿真软件模拟储油罐的泄漏扩散。结果表明:储液温度和有无风环境对储油罐非甲烷总烃(NMHC)挥发影响较大,储液高度和环境温度对其影响较小;仿真模拟无风环境下,储油罐泄漏口短时间内存在油气积聚现象;有风环境下,当风速为1 m/s,油气积聚不明显;随风速增大,扩散浓度场面积不断增大,油品损耗量增大,在风速为5 m/s的环境下,扩散300 s时的浓度场面积相比扩散200 s时较小,但泄漏口处的油气积聚面积增大。 相似文献
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对采矿粉尘分布及扩散规律的实验研究和数值模拟研究进展进行综述,研究表明实验结果与模拟结果基本一致,但是模拟可以给出更加详尽的粉尘浓度、分布和扩散规律数据,为有针对性地采取防尘措施、选择除尘技术提供科学的理论依据,并对今后的发展方向进行了展望。 相似文献
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《Waste management & research》1994,12(1):61-71
Only limited data are available on the diffusion of volatile organic solvents through flexible membrane liners (FMLs) used for lining impoundments and landfills. To expand this database, a rapid, inexpensive method is needed to measure the diffusion coefficients of volatile organic solvents through FML materials. An absorption method has been developed to determine the diffusion coefficients of volatile organic solvents through FML materials. The method is based on the depletion of an organic compound from an aqueous solution due to absorption by a submerged sample of FML. A numerical solution of Fick's second law of diffusion was used to develop a graph which can be used to determine the diffusion coefficient from the time dependent concentration data. The diffusion coefficients obtained from the absorption tests were validated by comparing them with coefficients determined using a two chamber diffusion cell. The diffusion coefficients determined for toluene and xylene in high density polyethylene (HDPE) were 5.1 × 10−9 cm2s−1 and 1.0 × 10−9 cm2s−1 by the two methods, respectively. The data indicate that the coefficient of distribution (Kd) between the FML and the organic solution, a value which is needed to calculate the diffusion coefficient from the data, can be estimated from the log of the octanol-water partition coefficient (Kow), a commonly measured and reported value for many chemicals. 相似文献
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The United States Environmental Protection Agency is considering recommending longer‐term sampling to achieve more accurate time‐weighted‐average detections for indoor air monitoring of volatile organic chemicals. The purpose of the research presented herein was to compare longer sampling times using passive diffusion samplers to the results from shorter‐term testing periods using sorbent tubes and low‐flow pumps (US EPA Method TO‐17) at great frequency for trichloroethene (TCE) in indoor air. A controlled release of TCE in a large room allowed for over two‐orders‐of‐magnitude daily concentration variability over the course of the two‐week monitoring event. The daily concentration measurements by US EPA Method TO‐17 and the passive diffusion samplers were performed in triplicate and had excellent reproducibility. The results of daily tests were averaged and compared with four passive diffusion devices exposed to indoor air for three, seven, ten, and fourteen days in accordance with ASTM D6196‐02. A specific uptake rate for each of the passive devices at the four different time intervals and the statistical significance of the time‐varying uptake rates were evaluated. The performance of each passive diffusion device was determined using a statistical performance criterion. The average concentration for all of the exposure periods could be reliably predicted using the established uptake rates for two of the four passive devices. © 2009 Wiley Periodicals, Inc. 相似文献
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Application of an Adapted Version of MT3DMS for Modeling Back‐Diffusion Remediation Timeframes 下载免费PDF全文
Simulation of back‐diffusion remediation timeframe for thin silt/clay layers, or when contaminant degradation is occurring, typically requires the use of a numerical model. Given the centimeter‐scale vertical grid spacing required to represent diffusion‐dominated transport, simulation of back‐diffusion in a 3‐D model may be computationally prohibitive. Use of a local 1‐D model domain approach for simulating back‐diffusion is demonstrated to have advantages but is limited to only some applications. Incorporation of a local domain approach for simulating back‐diffusion in a new model, In Situ Remediation‐MT3DMS (ISR‐MT3DMS) is validated based on a benchmark with MT3DMS and comparisons with a highly discretized finite difference numerical model. The approach used to estimate the vertical hydrodynamic dispersion coefficient is shown to have a significant influence on the simulated flux into and out of silt/clay layers in early time periods. Previously documented back‐diffusion at a Florida site is modeled for the purpose of evaluating the sensitivity of the back‐diffusion controlled remediation timeframe to various site characteristics. A base case simulation with a clay lens having a thickness of 0.2 m and a length of 100 m indicates that even after 99.96 percent aqueous TCE removal from the clay lens, the down‐gradient concentrations still exceed the MCL in groundwater monitoring wells. This shows that partial mass reduction from a NAPL source zone via in situ treatment may have little benefit for the long‐term management of contaminated sites, given that back‐diffusion will sustain a groundwater plume for a long period of time. Back‐diffusion model input parameters that have the greatest influence on remediation timeframe and thus may warrant more attention during field investigations, include the thickness of silt/clay lenses, retardation coefficient representing sorbed mass in silt/clay, and the groundwater velocity in adjacent higher permeability zones. Therefore, pump‐and‐treat systems implemented for the purpose of providing containment may have an additional benefit of reducing back‐diffusion remediation timeframe due to enhanced transverse advective fluxes at the sand/clay interface. Remediation timeframes are also moderately sensitive to the length of the silt/clay layers and transverse vertical dispersivity, but are less sensitive to degradation rates within silt/clay, contaminant solubility, contact time, tortuosity coefficient, and monitoring well‐screen length for the scenarios examined. ©2015 Wiley Periodicals, Inc. 相似文献