An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program
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 charac...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/11/3185 |
| _version_ | 1797547911054098432 |
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| author | Maryam Salehi Khashayar Aghilinasrollahabadi Mitra Salehi Esfandarani |
| author_facet | Maryam Salehi Khashayar Aghilinasrollahabadi Mitra Salehi Esfandarani |
| author_sort | Maryam Salehi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:50:50Z |
| format | Article |
| id | doaj.art-69e156a6e84848608e81213df4d431d7 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T14:50:50Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-69e156a6e84848608e81213df4d431d72023-11-20T20:57:43ZengMDPI AGWater2073-44412020-11-011211318510.3390/w12113185An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring ProgramMaryam Salehi0Khashayar Aghilinasrollahabadi1Mitra Salehi Esfandarani2Department of Civil Engineering, University of Memphis, Memphis, TN 38152, USADepartment of Civil Engineering, University of Memphis, Memphis, TN 38152, USADepartment of Civil Engineering, University of Memphis, Memphis, TN 38152, USAStorm 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.https://www.mdpi.com/2073-4441/12/11/3185stormwaterindustrial facilitiesBMPswater qualityrun offself-reported data |
| spellingShingle | Maryam Salehi Khashayar Aghilinasrollahabadi Mitra Salehi Esfandarani An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program Water stormwater industrial facilities BMPs water quality run off self-reported data |
| title | An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program |
| title_full | An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program |
| title_fullStr | An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program |
| title_full_unstemmed | An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program |
| title_short | An Investigation of Stormwater Quality Variation within an Industry Sector Using the Self-Reported Data Collected under the Stormwater Monitoring Program |
| title_sort | investigation of stormwater quality variation within an industry sector using the self reported data collected under the stormwater monitoring program |
| topic | stormwater industrial facilities BMPs water quality run off self-reported data |
| url | https://www.mdpi.com/2073-4441/12/11/3185 |
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