Contamination of Urban Surface Water by Vehicle Emissions
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2017-10-01
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TRIS Online Accession Number:01648375
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Edition:Final Report
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NTL Classification:NTL-ENERGY AND ENVIRONMENT-Air Quality
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Abstract:Combined sewer overflows (CSOs) are a water management issue for Onondaga County and the city of Syracuse, NY. To reduce them, the County is investing in green infrastructure (GI). GI technologies such as green roofs, rain gardens, and bioswales are designed to reduce runoff from impervious urban surfaces, which can decrease the number of CSO events. However, effects of GI on the amount of pollutants in the runoff remain unknown. Thus, the objective of this research is to assess the impact on the water chemistry of installing green roofs and other GI in Syracuse as a means to reduce stormwater runoff. This will also involve experimental studies with atmospheric deposition to quantify pollutants in the water originating from the ambient air due to emissions from construction projects and automobiles. Current work is targeted towards the green roof on downtown Pirro convention center and an adjacent traditional roof on the War Memorial. Both of these roofs have easily accessible drains that allow for runoff sampling during rainstorms. In addition, precipitation barrels are set up concurrently to sample for precipitation. These are taken back to the laboratory for analysis of anions, specifically chloride, fluoride, carbonate, phosphate, and sulfate concentrations using ion chromatography (IC). Eight storms spanning from June-September 2014 have been sampled. The specific dates are 6/17, 6/25, 7/3, 7/14, 7/23, 8/31, 9/13, and 9/21. Runoff samples have been collected for the latter seven storms from the traditional roof. Results show that average concentrations for each anion vary from storm to storm. Sulfate and nitrate have the highest average concentrations in runoff from the roof for each storm. The average concentration of fluoride does not exceed 5 umol/L for all storms. Average phosphate concentrations are less than the method detection limit (MDL) in runoff.
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