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停车场联锁混凝土砌块铺面渗透能力的实验室分析。

Laboratory analysis of the infiltration capacity of interlocking concrete block pavements in car parks.

机构信息

Construction Technology Research Group (GITECO), Dept of Transport, Project and Process Technology, ETSICCP, Universidad de Cantabria, 39005 Santander, Spain.

出版信息

Water Sci Technol. 2013;67(3):675-81. doi: 10.2166/wst.2012.614.

DOI:10.2166/wst.2012.614
PMID:23202575
Abstract

Interlocking concrete block pavements (ICBPs) have been widely used in car parks to reduce runoff. Researches have demonstrated that clogging is the most influential factor in the reduction of the infiltration capacity of this type of permeable pavement. Nevertheless, there is no laboratory study of the infiltration performance of ICBPs that combines clogging levels with variables related with the topography of car parks such as runoff surface length (R(SL)) and surface slope (S(S)). This paper studies the infiltration behaviour of ICBP during their operational life in a car park using an improved version of the Cantabrian Fixed (CF) Infiltrometer. This laboratory device simulates direct rainfall and runoff from adjacent impervious areas over an ICBPs surface of 0.25 m(2) for different slopes (0, 3, 5, 7 and 10%) and three scenarios of clogging (surface newly built, surface clogged and surface clogged with maintenance). This paper presents the results of the tests and a statistical analysis based on three regression models (corresponding to each clogging scenario) depending on the R(SL) and S(S) variables. All models passed a confidence level of 95%, presenting high R(2) values and showing that R(SL) is a more influential variable than the S(S) for all clogging scenarios.

摘要

联锁式混凝土块铺面(ICBP)已广泛应用于停车场以减少径流。研究表明,堵塞是影响这种透水铺面渗透能力降低的最主要因素。然而,目前还没有将堵塞程度与停车场地形等相关变量(如径流表面长度(R(SL))和表面坡度(S(S)))相结合,对 ICBPs 渗透性能进行的实验室研究。本文使用经过改进的坎塔布里亚固定(CF)渗滤仪,研究了停车场运营期间 ICBP 的渗透性能。该实验室设备模拟了直接降雨和来自相邻不透水区的径流,在 0.25 m(2)的 ICBP 表面上,测试了不同坡度(0、3、5、7 和 10%)和三种堵塞情况(新铺面、堵塞铺面和堵塞后维护)下的渗透行为。本文介绍了测试结果和基于三个回归模型(分别对应每个堵塞情况)的统计分析,这些模型取决于 R(SL)和 S(S)变量。所有模型的置信水平均达到 95%,呈现出较高的 R(2)值,并表明在所有堵塞情况下,R(SL)是比 S(S)更具影响力的变量。

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