Sustainable Oil and Grease Removal from Synthetic Stormwater Runoff Using Bench-Scale Bioretention Studies

2006 ◽  
Vol 78 (2) ◽  
pp. 141-155 ◽  
Author(s):  
Eunyoung Hong ◽  
Eric A. Seagren ◽  
Allen P. Davis
Author(s):  
C.O. Ataguba ◽  
I. C. Brink

An investigation into the pollution of stormwater runoff from automobile workshops in Nigeria was performed. Also, multivariate regression was used to predict the pH, oil, and grease (O&G) as well as the electrical conductivity (EC) in relation to the characteristics of the solids and metals pollutants of the untreated automobile workshop stormwater. The results indicated that automobile workshops contributed notable amounts of pollutants to stormwater runoff. Results were compared with Nigerian and USEPA standards. It was found that most of the parameters had mean value ranges far greater than standard limits. The multivariate regression showed variations in the results obtained from different automobile workshops. These variations could be due to the influence of factors such as the volume of automobile servicing activities and the waste generated from these activities that flow in the stormwater runoff. However, the bulk of the EC and pH of the stormwater were associated with the concentrations of the total dissolved solids and copper while the bulk of the O&G concentration was associated with the concentrations of lead and cadmium. It is recommended to treat automobile workshop stormwater to prevent detrimental effects in aquatic systems. Future research is aimed at modeling such treatment using multivariate regression techniques is warranted.


2006 ◽  
Vol 53 (2) ◽  
pp. 235-243 ◽  
Author(s):  
Y.H. Han ◽  
S.L. Lau ◽  
M. Kayhanian ◽  
M.K. Stenstrom

Stormwater runoff from highway land use is a common non-point source of pollutants. A large quantity of highway stormwater runoff characteristics were collected in California during the past three years. Correlations among various water quality parameters and constituents were performed using data sets collected over the 2000–2001, 2001–2002, and 2002–2003 wet seasons for 18, 21 and 23 storm events at three highway sites in west Los Angeles, California. In addition, statistical and graphical correlation analysis of the mass first flush ratio (MFF) with storm characteristics was made to determine if the first flush is related to site or storm characteristics. The results and analyses performed indicate that (1) TSS correlates well with most particulate-bound metals. However, TSS was poorly correlated with most other pollutants. (2) Strong correlations were also observed among dissolved and total metals; DOC, COD, TKN and oil and grease; conductivity and Cl. (3) Total metals, COD and DOC were generally well correlated with mass first flush, suggesting that BMPs that treat the early portion of runoff have an opportunity to remove high concentrations of these pollutants. Keywords Correlation analysis; highway stormwater runoff; mass first flush; storm characteristics


1988 ◽  
Vol 18 (1) ◽  
pp. 31-47 ◽  
Author(s):  
Gary S. Silverman ◽  
Michael K. Stenstrom ◽  
Sami Fam

2018 ◽  
Vol 19 (6) ◽  
pp. 550-555
Author(s):  
Young Ik Choi ◽  
Dae Yeol Shin ◽  
mansoor Sana ◽  
Min Ji Kwon ◽  
Jin Hee Jung ◽  
...  
Keyword(s):  

Author(s):  
Siti Nazahiyah Rahmat ◽  
◽  
Algheethi Adel Ali Saeed Abduh ◽  
Ahmad Zurisman Mohd Ali ◽  
Mohd Adib Mohammad Razi ◽  
...  

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