Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States
The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sowah, Robert A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal - Pandey, Avash ELSEVIER, 2021, a journal of the International Association on Water Quality (IAWQ), Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:108 ; year:2017 ; day:1 ; month:01 ; pages:330-338 ; extent:9 |
| Links: |
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| DOI / URN: |
10.1016/j.watres.2016.11.007 |
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ELV019956746 |
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| 245 | 1 | 0 | |a Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States |
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| 520 | |a The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. | ||
| 520 | |a The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. | ||
| 650 | 7 | |a Bacteroidales markers |2 Elsevier | |
| 650 | 7 | |a Fecal pollution |2 Elsevier | |
| 650 | 7 | |a Septic density |2 Elsevier | |
| 650 | 7 | |a Water quality |2 Elsevier | |
| 650 | 7 | |a HF183 |2 Elsevier | |
| 650 | 7 | |a Baseflow |2 Elsevier | |
| 700 | 1 | |a Habteselassie, Mussie Y. |4 oth | |
| 700 | 1 | |a Radcliffe, David E. |4 oth | |
| 700 | 1 | |a Bauske, Ellen |4 oth | |
| 700 | 1 | |a Risse, Mark |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Pandey, Avash ELSEVIER |t Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal |d 2021 |d a journal of the International Association on Water Quality (IAWQ) |g Amsterdam [u.a.] |w (DE-627)ELV006716016 |
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10.1016/j.watres.2016.11.007 doi GBV00000000000119A.pica (DE-627)ELV019956746 (ELSEVIER)S0043-1354(16)30852-1 DE-627 ger DE-627 rakwb eng 550 550 DE-600 333.7 320 VZ Sowah, Robert A. verfasserin aut Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Elsevier Habteselassie, Mussie Y. oth Radcliffe, David E. oth Bauske, Ellen oth Risse, Mark oth Enthalten in Elsevier Science Pandey, Avash ELSEVIER Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal 2021 a journal of the International Association on Water Quality (IAWQ) Amsterdam [u.a.] (DE-627)ELV006716016 volume:108 year:2017 day:1 month:01 pages:330-338 extent:9 https://doi.org/10.1016/j.watres.2016.11.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 108 2017 1 0101 330-338 9 045F 550 |
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10.1016/j.watres.2016.11.007 doi GBV00000000000119A.pica (DE-627)ELV019956746 (ELSEVIER)S0043-1354(16)30852-1 DE-627 ger DE-627 rakwb eng 550 550 DE-600 333.7 320 VZ Sowah, Robert A. verfasserin aut Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Elsevier Habteselassie, Mussie Y. oth Radcliffe, David E. oth Bauske, Ellen oth Risse, Mark oth Enthalten in Elsevier Science Pandey, Avash ELSEVIER Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal 2021 a journal of the International Association on Water Quality (IAWQ) Amsterdam [u.a.] (DE-627)ELV006716016 volume:108 year:2017 day:1 month:01 pages:330-338 extent:9 https://doi.org/10.1016/j.watres.2016.11.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 108 2017 1 0101 330-338 9 045F 550 |
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10.1016/j.watres.2016.11.007 doi GBV00000000000119A.pica (DE-627)ELV019956746 (ELSEVIER)S0043-1354(16)30852-1 DE-627 ger DE-627 rakwb eng 550 550 DE-600 333.7 320 VZ Sowah, Robert A. verfasserin aut Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Elsevier Habteselassie, Mussie Y. oth Radcliffe, David E. oth Bauske, Ellen oth Risse, Mark oth Enthalten in Elsevier Science Pandey, Avash ELSEVIER Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal 2021 a journal of the International Association on Water Quality (IAWQ) Amsterdam [u.a.] (DE-627)ELV006716016 volume:108 year:2017 day:1 month:01 pages:330-338 extent:9 https://doi.org/10.1016/j.watres.2016.11.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 108 2017 1 0101 330-338 9 045F 550 |
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10.1016/j.watres.2016.11.007 doi GBV00000000000119A.pica (DE-627)ELV019956746 (ELSEVIER)S0043-1354(16)30852-1 DE-627 ger DE-627 rakwb eng 550 550 DE-600 333.7 320 VZ Sowah, Robert A. verfasserin aut Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Elsevier Habteselassie, Mussie Y. oth Radcliffe, David E. oth Bauske, Ellen oth Risse, Mark oth Enthalten in Elsevier Science Pandey, Avash ELSEVIER Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal 2021 a journal of the International Association on Water Quality (IAWQ) Amsterdam [u.a.] (DE-627)ELV006716016 volume:108 year:2017 day:1 month:01 pages:330-338 extent:9 https://doi.org/10.1016/j.watres.2016.11.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 108 2017 1 0101 330-338 9 045F 550 |
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10.1016/j.watres.2016.11.007 doi GBV00000000000119A.pica (DE-627)ELV019956746 (ELSEVIER)S0043-1354(16)30852-1 DE-627 ger DE-627 rakwb eng 550 550 DE-600 333.7 320 VZ Sowah, Robert A. verfasserin aut Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Elsevier Habteselassie, Mussie Y. oth Radcliffe, David E. oth Bauske, Ellen oth Risse, Mark oth Enthalten in Elsevier Science Pandey, Avash ELSEVIER Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal 2021 a journal of the International Association on Water Quality (IAWQ) Amsterdam [u.a.] (DE-627)ELV006716016 volume:108 year:2017 day:1 month:01 pages:330-338 extent:9 https://doi.org/10.1016/j.watres.2016.11.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 108 2017 1 0101 330-338 9 045F 550 |
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Sowah, Robert A. |
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Sowah, Robert A. ddc 550 ddc 333.7 Elsevier Bacteroidales markers Elsevier Fecal pollution Elsevier Septic density Elsevier Water quality Elsevier HF183 Elsevier Baseflow Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States |
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Matches, mismatches and priorities of pathways from a climate-resilient development perspective in the mountains of Nepal |
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isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in georgia, united states |
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Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States |
| abstract |
The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. |
| abstractGer |
The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. |
| abstract_unstemmed |
The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specific Bacteroidales markers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2 were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminant Bacteroidales, were quantified using quantitative polymerase chain reaction. Human-associated Bacteroidales yield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r = −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the total Bacteroidales marker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds. |
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Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States |
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