Version 1
: Received: 25 December 2023 / Approved: 25 December 2023 / Online: 25 December 2023 (16:25:24 CET)
How to cite:
Koffron, C.; Balster, N. Quantifying Stormwater Pollutants and Porous Surface Infiltration on a Midwestern University Campus. Preprints2023, 2023121820. https://doi.org/10.20944/preprints202312.1820.v1
Koffron, C.; Balster, N. Quantifying Stormwater Pollutants and Porous Surface Infiltration on a Midwestern University Campus. Preprints 2023, 2023121820. https://doi.org/10.20944/preprints202312.1820.v1
Koffron, C.; Balster, N. Quantifying Stormwater Pollutants and Porous Surface Infiltration on a Midwestern University Campus. Preprints2023, 2023121820. https://doi.org/10.20944/preprints202312.1820.v1
APA Style
Koffron, C., & Balster, N. (2023). Quantifying Stormwater Pollutants and Porous Surface Infiltration on a Midwestern University Campus. Preprints. https://doi.org/10.20944/preprints202312.1820.v1
Chicago/Turabian Style
Koffron, C. and Nick Balster. 2023 "Quantifying Stormwater Pollutants and Porous Surface Infiltration on a Midwestern University Campus" Preprints. https://doi.org/10.20944/preprints202312.1820.v1
Abstract
Stormwater management is especially critical for urbanized landscapes that border surface waters and therefore must be monitored accurately to meet permitting requirements and mitigate environmental impact. To assess the impact of stormwater pollutants from the university grounds of a large midwestern campus, we pursued the following two objectives. First, to empirically quantify the concentration of four pollutants in campus stormwater (total suspended solids (TSS), total phosphorus (TP), total Kjeldahl nitrogen (TKN), and chlorides (Cl-)) and compare these observations to international averages and modeled values from the Source Loading and Management Model for Windows (WinSLAMM v10.5.0), used by the university for stormwater monitoring. And second, we sought to quantify the steady state infiltration rate of two porous pavements (concrete and asphalt), and two concrete porous paver surfaces (with interlocking aggregates and without) constructed by the university to mitigate environmental impact. Results showed low TSS concentrations relative to other municipalities and modeled results. The discrepancy between modeled and empirical values is argued to arise from spatial and temporal constraints of sampling. Conversely, concentrations of TP, TKN, and Cl-, were at similar levels to reference areas and WinSLAMM, with TP and TKN likely sourced from mainly organic, non-particulate sources (e.g. leaf litter). Of the four mitigation systems, the porous pavers with aggregates had the highest infiltration rate compared to the other three porous pavements, although compounding factors such as age and landcover may have influenced performance differences.
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
