Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed
The dense highland field area in the upstream region of the Lake Soyang watershed is subject to excessive soil erosion during the wet season. In this study, stormwater runoff from the Lake Soyang watershed was monitored during four rainfall events at 10 locations throughout 2016. The maximum SS conc...
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doaj-c445b07203df495089deaaaa1dfb7be12020-11-24T23:55:15ZengMDPI AGWater2073-44412017-10-0191078410.3390/w9100784w9100784Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang WatershedJae Heon Cho0Jong Ho Lee1Department of Health and Environment, Catholic Kwandong University, Naegok-Dong, Gangneung-Si, Gangwon-Do 210-701, KoreaDepartment of Urban Planning and Real Estate, Cheongju University, Daeseongro, Sangdang-Gu, Cheongju, Chungbuk 360-764, KoreaThe dense highland field area in the upstream region of the Lake Soyang watershed is subject to excessive soil erosion during the wet season. In this study, stormwater runoff from the Lake Soyang watershed was monitored during four rainfall events at 10 locations throughout 2016. The maximum SS concentration at Naedongcheon, which is located in the upper part of the Soyang River, reached 4598 mg/L. The event mean concentration (EMC) of SS loads in Naedongcheon ranged from 82.2 mg/L to 926.3 mg/L. We found that, although the first flush events were usually concentrated in highly paved urban areas, a first flush occurred in the agricultural area of the dense highland field region. The first flush phenomenon was identified by a dimensionless cumulative runoff mass and volume curve (M(V) curve), and the intensity of the first flush was analyzed by the coefficient of the nonlinear regression model and the FF30 and FF25 values (the fraction of pollution load transported by the first 30% and 25% of runoff, respectively). Nonlinear regression models using the power function were applied to fit the M(V) curve, the FF30 values were inversely proportional to the coefficient a of the regression model. A long-term seasonal trend decomposition for monthly turbidity and precipitation was performed for the Lake Soyang. Long-term turbidity trend was approximately coincident with the trend in long-term precipitation. In addition, the present status of the best management practices (BMPs) in the upper part of the Soyang River basin was investigated, and a survey of the management and operation of the BMPs was conducted for selected farmers.https://www.mdpi.com/2073-4441/9/10/784stormwater runoff monitoringhighland fieldsfirst flushmass volume curvenonlinear regression modelseasonal trend decompositionBMPs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jae Heon Cho Jong Ho Lee |
spellingShingle |
Jae Heon Cho Jong Ho Lee Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed Water stormwater runoff monitoring highland fields first flush mass volume curve nonlinear regression model seasonal trend decomposition BMPs |
author_facet |
Jae Heon Cho Jong Ho Lee |
author_sort |
Jae Heon Cho |
title |
Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed |
title_short |
Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed |
title_full |
Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed |
title_fullStr |
Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed |
title_full_unstemmed |
Stormwater Runoff Characteristics and Effective Management of Nonpoint Source Pollutants from a Highland Agricultural Region in the Lake Soyang Watershed |
title_sort |
stormwater runoff characteristics and effective management of nonpoint source pollutants from a highland agricultural region in the lake soyang watershed |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2017-10-01 |
description |
The dense highland field area in the upstream region of the Lake Soyang watershed is subject to excessive soil erosion during the wet season. In this study, stormwater runoff from the Lake Soyang watershed was monitored during four rainfall events at 10 locations throughout 2016. The maximum SS concentration at Naedongcheon, which is located in the upper part of the Soyang River, reached 4598 mg/L. The event mean concentration (EMC) of SS loads in Naedongcheon ranged from 82.2 mg/L to 926.3 mg/L. We found that, although the first flush events were usually concentrated in highly paved urban areas, a first flush occurred in the agricultural area of the dense highland field region. The first flush phenomenon was identified by a dimensionless cumulative runoff mass and volume curve (M(V) curve), and the intensity of the first flush was analyzed by the coefficient of the nonlinear regression model and the FF30 and FF25 values (the fraction of pollution load transported by the first 30% and 25% of runoff, respectively). Nonlinear regression models using the power function were applied to fit the M(V) curve, the FF30 values were inversely proportional to the coefficient a of the regression model. A long-term seasonal trend decomposition for monthly turbidity and precipitation was performed for the Lake Soyang. Long-term turbidity trend was approximately coincident with the trend in long-term precipitation. In addition, the present status of the best management practices (BMPs) in the upper part of the Soyang River basin was investigated, and a survey of the management and operation of the BMPs was conducted for selected farmers. |
topic |
stormwater runoff monitoring highland fields first flush mass volume curve nonlinear regression model seasonal trend decomposition BMPs |
url |
https://www.mdpi.com/2073-4441/9/10/784 |
work_keys_str_mv |
AT jaeheoncho stormwaterrunoffcharacteristicsandeffectivemanagementofnonpointsourcepollutantsfromahighlandagriculturalregioninthelakesoyangwatershed AT jongholee stormwaterrunoffcharacteristicsandeffectivemanagementofnonpointsourcepollutantsfromahighlandagriculturalregioninthelakesoyangwatershed |
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