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道路交通事故中水性污染物的扩散

Spread of Water-Borne Pollutants at Traffic Accidents on Roads.

作者信息

Olofsson Bo, Rasul Hedi, Lundmark Annika

机构信息

Division of Land and Water Resources Engineering, Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden.

Water Unit, County Administration Board of Jämtland, 831 86 Östersund, Sweden.

出版信息

Water Air Soil Pollut. 2017;228(9):323. doi: 10.1007/s11270-017-3477-3. Epub 2017 Aug 12.

DOI:10.1007/s11270-017-3477-3
PMID:28845063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5554479/
Abstract

Traffic accidents sometimes lead to the spread of hazardous compounds to the environment. Accidental spills of hazardous compounds on roads in the vicinity of vulnerable objects such as water supplies pose a serious threat to water quality and have to be assessed. This study compared three different assessment methods, electrical resistivity measurements, analytical flow calculations, and 1D and 2D dynamic flow modeling, to describe rapid transport processes in the road shoulder and roadside verge after a major spill. The infiltration and flow paths of water-borne substances were described during simulated discharge of pollutants on different road types. Full-scale tracer tests using sodium chloride were carried out at nine different road locations in Sweden. Analysis of grain size distribution and infiltrometer tests were carried out at the road shoulder and verges. The pathways and travel times were traced using resistivity measurements and 3D inverse modeling. The resistivity measurements were compared to analytical flow calculations and 1D and 2D dynamic modeling. All measurement sites were highly heterogeneous, which caused preferential flow. Vertical flow velocities of 1.4-8.6 × 10 m/s were measured. The results of the analytical calculations and flow modeling were of the same order of magnitude. The measurements showed that almost all infiltration goes directly into the road embankment, hence the composition and structure of the built-up road must be considered. The non-destructive resistivity measurements and 3D modeling provided useful information for clarifying the infiltration and flow pattern of water-borne compounds from road runoff.

摘要

交通事故有时会导致有害化合物扩散到环境中。在诸如供水设施等易受影响物体附近的道路上,有害化合物的意外泄漏对水质构成严重威胁,必须进行评估。本研究比较了三种不同的评估方法,即电阻率测量、分析流计算以及一维和二维动态流模型,以描述重大泄漏后路肩和路边边缘的快速传输过程。在不同道路类型上模拟污染物排放期间,描述了水载物质的渗透和流动路径。在瑞典的九个不同道路位置进行了使用氯化钠的全尺寸示踪剂测试。在路肩和边缘进行了粒度分布分析和渗透仪测试。使用电阻率测量和三维反演模型追踪路径和传播时间。将电阻率测量结果与分析流计算以及一维和二维动态模型进行了比较。所有测量地点的非均质性都很强,这导致了优先流。测量到的垂直流速为1.4 - 8.6×10米/秒。分析计算和流模型的结果在同一数量级。测量结果表明,几乎所有的渗透都直接进入路堤,因此必须考虑建成道路的组成和结构。非破坏性电阻率测量和三维建模为阐明道路径流中水载化合物的渗透和流动模式提供了有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/eabeb5d8de3b/11270_2017_3477_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/43f7cf9b582d/11270_2017_3477_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/8c7c1ea00e13/11270_2017_3477_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/b2a1ac6cf3a0/11270_2017_3477_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/f2cfe4ce16e1/11270_2017_3477_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/00729e606c04/11270_2017_3477_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/5e9b335d519a/11270_2017_3477_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/d77d9b5d4b3f/11270_2017_3477_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/d437ebab2b1f/11270_2017_3477_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/eabeb5d8de3b/11270_2017_3477_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/43f7cf9b582d/11270_2017_3477_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/b409f922e35e/11270_2017_3477_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/b19655638113/11270_2017_3477_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/4bb753b530d1/11270_2017_3477_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/8c7c1ea00e13/11270_2017_3477_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/b2a1ac6cf3a0/11270_2017_3477_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/f2cfe4ce16e1/11270_2017_3477_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/00729e606c04/11270_2017_3477_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/5e9b335d519a/11270_2017_3477_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/d77d9b5d4b3f/11270_2017_3477_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/d437ebab2b1f/11270_2017_3477_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/5554479/eabeb5d8de3b/11270_2017_3477_Fig12_HTML.jpg

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