Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types

Objectives:In this study, the characteristics of stormwater runoff from agricultural nonpoint pollution sources investigated under various experimental conditions were evaluated among different land use types (e.g., paddy, field, field (alpine), and vinyl house), and event mean concentrations (EMCs)...

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Autores principales: Hyeon Woo Go, Jin Chul Joo, Dong Hwi Lee, Chae Min Ahn, Sun Hwa Choi, Eue Tae Kang
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KO
Publicado: Korean Society of Environmental Engineers 2021
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Acceso en línea:https://doi.org/10.4491/KSEE.2021.43.10.664
https://doaj.org/article/468248f8386244d1b2edf5a9ebe2dbbf
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spelling oai:doaj.org-article:468248f8386244d1b2edf5a9ebe2dbbf2021-11-12T00:46:47ZStatistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Typeshttps://doi.org/10.4491/KSEE.2021.43.10.6641225-50252383-7810https://doaj.org/article/468248f8386244d1b2edf5a9ebe2dbbf2021-10-01T00:00:00Zhttps://www.jksee.or.kr/journal/view.php?number=4363https://doaj.org/toc/1225-5025https://doaj.org/toc/2383-7810Objectives:In this study, the characteristics of stormwater runoff from agricultural nonpoint pollution sources investigated under various experimental conditions were evaluated among different land use types (e.g., paddy, field, field (alpine), and vinyl house), and event mean concentrations (EMCs) for each water quality parameter were statistically analyzed. These results can be used in calculating the contribution of stormwater runoff to water quality of receiving water body by performing quantitative and qualitative analysis. The unit loads calculated were compared with Ministry of Environment TMDL (2019) to secure the reliability of the calculated unit loads. Methods:EMCs and unit loads investigated in various studies were classified in terms of paddy, field, field (alpine), and vinyl house. Among various land use types, EMCs and unit loads were statistically analyzed quantitatively and qualitatively. For EMCs, a null hypothesis is that ‘EMCs of water quality parameters among different land use types are not different at a statistically significant level (α=0.05)’. Based on the results of statistical analysis, heteroscedasticity (p<0.05) and Welch-test method were consequently applied, and post hoc test was performed using the Games-Howell method. Finally, unit loads was compared and reviewed against the TMDL (2019) unit loads of the Ministry of Environment. Results and Discussion:Various EMCs​​ in all water quality parameters were found among different land use types (i.e., paddy, field, field (alpine) and vinyl house). For most water quality parameters, EMCs ​tended to decrease in the order of field (alpine) > field > vinyl house > paddy. The coefficient of variance (CV) values ​​of all water quality parameters were 0.5 or greater. Based on these results, EMCs in agricultural nonpoint source pollution are very diverse and deviated due to the combination of natural and artificial factors. Post hoc test results indicated different statistical significance among all water quality parameters. In addition to the land use types, both natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost) affect the characteristics of stormwater runoff. In particular, in the case of field (alpine) with prominent topographical feature of slope, and EMCs were statistically greater than those from other land use types in all water quality categories (p<0.05). Conclusions:Countermeasures for field (alpine)with greater EMCs than paddy, field and vinyl house, should be performed priority. EMCs were affected by a complex interaction between natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost), and additional data and research are required for further study to elucidate these complex interactions.Hyeon Woo GoJin Chul JooDong Hwi LeeChae Min AhnSun Hwa ChoiEue Tae KangKorean Society of Environmental Engineersarticleevent mean concentrations (emcs)agricultural nonpoint pollutantsstormwater runoffland use typestatistical analysisEnvironmental engineeringTA170-171ENKO대한환경공학회지, Vol 43, Iss 10, Pp 664-678 (2021)
institution DOAJ
collection DOAJ
language EN
KO
topic event mean concentrations (emcs)
agricultural nonpoint pollutants
stormwater runoff
land use type
statistical analysis
Environmental engineering
TA170-171
spellingShingle event mean concentrations (emcs)
agricultural nonpoint pollutants
stormwater runoff
land use type
statistical analysis
Environmental engineering
TA170-171
Hyeon Woo Go
Jin Chul Joo
Dong Hwi Lee
Chae Min Ahn
Sun Hwa Choi
Eue Tae Kang
Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
description Objectives:In this study, the characteristics of stormwater runoff from agricultural nonpoint pollution sources investigated under various experimental conditions were evaluated among different land use types (e.g., paddy, field, field (alpine), and vinyl house), and event mean concentrations (EMCs) for each water quality parameter were statistically analyzed. These results can be used in calculating the contribution of stormwater runoff to water quality of receiving water body by performing quantitative and qualitative analysis. The unit loads calculated were compared with Ministry of Environment TMDL (2019) to secure the reliability of the calculated unit loads. Methods:EMCs and unit loads investigated in various studies were classified in terms of paddy, field, field (alpine), and vinyl house. Among various land use types, EMCs and unit loads were statistically analyzed quantitatively and qualitatively. For EMCs, a null hypothesis is that ‘EMCs of water quality parameters among different land use types are not different at a statistically significant level (α=0.05)’. Based on the results of statistical analysis, heteroscedasticity (p<0.05) and Welch-test method were consequently applied, and post hoc test was performed using the Games-Howell method. Finally, unit loads was compared and reviewed against the TMDL (2019) unit loads of the Ministry of Environment. Results and Discussion:Various EMCs​​ in all water quality parameters were found among different land use types (i.e., paddy, field, field (alpine) and vinyl house). For most water quality parameters, EMCs ​tended to decrease in the order of field (alpine) > field > vinyl house > paddy. The coefficient of variance (CV) values ​​of all water quality parameters were 0.5 or greater. Based on these results, EMCs in agricultural nonpoint source pollution are very diverse and deviated due to the combination of natural and artificial factors. Post hoc test results indicated different statistical significance among all water quality parameters. In addition to the land use types, both natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost) affect the characteristics of stormwater runoff. In particular, in the case of field (alpine) with prominent topographical feature of slope, and EMCs were statistically greater than those from other land use types in all water quality categories (p<0.05). Conclusions:Countermeasures for field (alpine)with greater EMCs than paddy, field and vinyl house, should be performed priority. EMCs were affected by a complex interaction between natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost), and additional data and research are required for further study to elucidate these complex interactions.
format article
author Hyeon Woo Go
Jin Chul Joo
Dong Hwi Lee
Chae Min Ahn
Sun Hwa Choi
Eue Tae Kang
author_facet Hyeon Woo Go
Jin Chul Joo
Dong Hwi Lee
Chae Min Ahn
Sun Hwa Choi
Eue Tae Kang
author_sort Hyeon Woo Go
title Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
title_short Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
title_full Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
title_fullStr Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
title_full_unstemmed Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types
title_sort statistical analysis and review of event mean concentrations in stormwater runoff from agricultural nonpoint source pollution among different land use types
publisher Korean Society of Environmental Engineers
publishDate 2021
url https://doi.org/10.4491/KSEE.2021.43.10.664
https://doaj.org/article/468248f8386244d1b2edf5a9ebe2dbbf
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