An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program

Abstract

Storm runoff pollutants are among the major sources of surface water impairments, globally. Despite several monitoring programs and guidance on stormwater management practices, there are many streams still impaired by urban runoff. This study evaluates an industry sector’s pollutant discharge characteristics using the self-reported data collected under Tennessee Multi Sector Permit program. The stormwater pollutant discharge characteristics were analyzed from 2014 to 2018 for an industry sector involving twelve facilities in West Tennessee, USA. The data analysis revealed the presence of both organic and inorganic contaminants in stormwater samples collected at all twelve industrial facilities, with the most common metals being magnesium, copper, and aluminum. The principal component analysis (PCA) was applied to better understand the correlation between water quality parameters, their origins, and seasonal variations. Furthermore, the water quality indexes (WQIs) were calculated to evaluate the stormwater quality variations among studied facilities and seasons. The results demonstrated slight variations in stormwater WQIs among the studied facilities ranging from “Bad” to “Medium” quality. The lowest seasonal average WQI was found for spring compared to the other seasons. Certain limitations associated with the self-reported nature of data were identified to inform the decision makers regarding the required future changes.

Advance modification of polyacrylonitrile nanofibers for enhanced removal of hexavalent chromium from water

“…This suggests that possible chemical interactions between Cr(VI) oxyanions and protonated amino/amidine surface on APAN control the adsorption rate. 52 Our results are supported by other published literature that reported the second order kinetic model for Cr(VI) adsorption by amino-functionalized nanoparticles. 8,21,52 The ion exchange, electrostatic attraction, hydrogen bonding, and coordination interaction between HCrO 4 À and amino functions were reported as effective mechanisms leading to Cr(VI) removal from aqueous solution by amino-functionalized adsorbent materials.…”

“…52 Our results are supported by other published literature that reported the second order kinetic model for Cr(VI) adsorption by amino-functionalized nanoparticles. 8,21,52 The ion exchange, electrostatic attraction, hydrogen bonding, and coordination interaction between HCrO 4 À and amino functions were reported as effective mechanisms leading to Cr(VI) removal from aqueous solution by amino-functionalized adsorbent materials. 8,18,53 The amino/amidine functional groups present on the surface of nanofibers are easily protonated and obtain the positive surface charge under acidic conditions; thus, they can adsorb negatively charged Cr(VI) species from aqueous solution through ion exchange, electrostatic interactions, and hydrogen bonding.…”

“…8,18,53 The amino/amidine functional groups present on the surface of nanofibers are easily protonated and obtain the positive surface charge under acidic conditions; thus, they can adsorb negatively charged Cr(VI) species from aqueous solution through ion exchange, electrostatic interactions, and hydrogen bonding. 52 The maximum chromium adsorption capacity of APAN nanofibers (225 mg g À1 ) at pH 3.0 was greater than adsorption capacities reported in the literature for modified activated carbon (25.1 mg g À1 ), 18 polyaniline coated nanofibers (15.08 mg g À1 ), 18 PAN nanofibers that were blended with malic acid (192.2 mg g À1 ), 54 and calixarene (66.5 mg g À1 ), 55 FeCl 2 (9.0 mg g À1 ), 56 and Fe 2 O 3 (18.0 mg g À1 ) particles. 57 Furthermore, in many of the recently developed nanofibers listed in Table S1, the nanoparticles (e.g., graphene oxide, TiO 2 ) have been utilized in the fiber structure to promote their Cr(VI) adsorption capacities.…”

Highly Resolved Runoff Path Simulation Based on Urban Surface Landscape Layout for Sub-Catchment Scale

“…The potential runoff spread in different scale of sub-catchments was investigated. Although such data could be easily gathered in small areas, this task could be time-consuming for larger study sites, remaining as a challenge if upscaling of the results is planned [53]. Nevertheless, these methods require a high-resolution surface topography data and satellite images [54].…”

Water Resources Management Models for Policy Assessment

“…The result of their work is directly policy-relevant because it will be integrated into a new national standard. Salehi et al [22] evaluated the pollutant discharge characteristics for 12 facilities in an industry sector in the United States. They applied principal component analysis to water quality parameters and developed water quality indexes to monitor water quality fluctuations.…”