Passive stormwater samplers for sampling highway runoff from BMPS : feasibility studies.

Zhang, Tian; Stansbury, John; Moussavi, Massoum; Klein, Mitchell R.; Dou, Yueqin; Richer-Egger, Dana

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Passive stormwater samplers for sampling highway runoff from BMPS : feasibility studies.

2013-12-01
By Zhang, Tian ; Stansbury, John ; Moussavi, Massoum

File Language:

English

Details

Creators:

Zhang, Tian ; Stansbury, John ; Moussavi, Massoum ; Klein, Mitchell R. ; Dou, Yueqin ; Richer-Egger, Dana
Corporate Creators:

University of Nebraska--Lincoln. Dept. of Civil Engineering
Subject/TRT Terms:
Publication/ Report Number:

SPR-P1(12) M317
Resource Type:

Tech Report
Geographical Coverage:

Nebraska
Corporate Publisher:

Nebraska. Dept. of Roads
Description:

Pollution from highway stormwater runoff has been a concern within the environmental field. To reduce contamination within highway runoff, many structural Best Management Practices (BMPs) have been implemented. One challenge for BMPs is monitoring their effectiveness along with determining effluent concentrations. The objectives of this research were to develop passive samplers to monitor the pollutants in roadway runoff BMPs. Passive samplers with Amberlite IRC748 ion exchange resin as sorbent were tested for monitoring heavy metals and samplers with polyurethane foam (PUF) as sorbent were tested for polycyclic aromatic hydrocarbons (PAHs). Results from batch kinetic studies, and lab- and field-scale BMP (bioretention cell) tests indicate that the passive samplers developed can be used for monitoring BMPs under the given conditions. In order to obtain representative data for determination of removal efficiency of BMPs, the influent and effluent passive samplers must be placed in two different flow paths, and the quantity of stormwater contacting the passive samplers needs to be known.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/27089/dot_27089_DS1.pdf
File Type:

[PDF - 4.52 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:34e0217d1f27ed88f1c06ea9099d8c362017f4864fcef9ef7e1cea2a1342c84e

File Language:

English

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