Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed

Objectives: To identify and estimate the non-point source (NPS) pollution loads in the Yongdam watershed, and to take an appropriate NPS management plan suitable for the environmental conditions of the sub-basin of Yongdam watershed. Methods: The NPS pollutant loads of the Yongdam watershed was inve...

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Main Authors: Yong-Ho Choi, Yong-Hoon Jeong, Hong-Hue Thi Nguyen, Seung-Hyun Yoon, In-Gyong Yi, Dong-Heui Kwak
Format: Article
Language:English
Published: Korean Society of Environmental Engineers 2023-01-01
Series:대한환경공학회지
Subjects:
Online Access:http://doi.org/10.4491/KSEE.2023.45.2.65
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author Yong-Ho Choi
Yong-Hoon Jeong
Hong-Hue Thi Nguyen
Seung-Hyun Yoon
In-Gyong Yi
Dong-Heui Kwak
author_facet Yong-Ho Choi
Yong-Hoon Jeong
Hong-Hue Thi Nguyen
Seung-Hyun Yoon
In-Gyong Yi
Dong-Heui Kwak
author_sort Yong-Ho Choi
collection DOAJ
description Objectives: To identify and estimate the non-point source (NPS) pollution loads in the Yongdam watershed, and to take an appropriate NPS management plan suitable for the environmental conditions of the sub-basin of Yongdam watershed. Methods: The NPS pollutant loads of the Yongdam watershed was investigated to establish the hydrological simulation program-fortran (HSPF) model for the study area so that the characteristics of non-point runoff were simulated. Furthermore, the detailed catchment area subject to non-point pollution management was selected and the effect of reducing non-point pollution was examined based on the various simulation results. Results and Discussion: The three sub-basins, including specific component of catchments, of Yongdam watershed was selected according to the load intensity and distribution of NPS pollution. The result of analyzing the load flowing into the downstream by rainfall intensity revealed that the pollutant load accounted for 11.8~19.9% in the dry season, and for Jinan-cheon sub-basin the load was high in the range of 10~30 mm while Janggye-cheon sub-basin and downstream of Janggye-cheon junction sub-basin showed a high load in the range 30~60 mm. In addition, the load duration curve (LDC) showed the excess frequency of BOD load was high when the flow rate increased at the end of stream for each sub-basin, whereas the load excess frequency was high in T-P in the entire flow range. LDC analysis led to us that the water quality of stream was affected by point and non-point pollutants in a complex way. When NPS pollution reduction facilities were installed by selecting 10 detailed catchments with high need for NPS pollution management, the reduction of T-P load was estimated to be reduced by 1.85 kg/d in Jinan-cheon sub-basin, 6.40 kg/d in Janggye-cheon sub-basin, and 6.58 kg/d in downstream of Janggye-cheon junction sub-basin. Conclusions: Through various simulation experiments using the HSPF model, it was feasible to select an catchment subject to NPS pollution control in detail and evaluate the effect of reducing NPS pollution.
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spelling doaj.art-33f9a3db2afd438cbccb6369bf741e0b2023-04-05T07:35:49ZengKorean Society of Environmental Engineers대한환경공학회지1225-50252383-78102023-01-01451658010.4491/KSEE.2023.45.2.654444Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam WatershedYong-Ho Choi0https://orcid.org/0000-0001-5754-2538Yong-Hoon Jeong1https://orcid.org/0000-0002-7501-8729Hong-Hue Thi Nguyen2https://orcid.org/0000-0002-8564-5024Seung-Hyun Yoon3https://orcid.org/0000-0002-1031-6397In-Gyong Yi4https://orcid.org/0000-0003-3659-8692Dong-Heui Kwak5https://orcid.org/0000-0001-5692-7372Department of Bio-Convergence Science, Jeonbuk National University, Republic of KoreaDepartment of Bio-Convergence Science, Jeonbuk National University, Republic of KoreaDepartment of Bio-Active Material Sciences, Jeonbuk National University, Republic of KoreaDepartment of Bio-Convergence Science, Jeonbuk National University, Republic of KoreaDepartment of Bio-Convergence Science, Jeonbuk National University, Republic of KoreaDepartment of Bio-Convergence Science, Jeonbuk National University, Republic of Korea & Department of Bio-Active Material Sciences, Jeonbuk National University, Republic of KoreaObjectives: To identify and estimate the non-point source (NPS) pollution loads in the Yongdam watershed, and to take an appropriate NPS management plan suitable for the environmental conditions of the sub-basin of Yongdam watershed. Methods: The NPS pollutant loads of the Yongdam watershed was investigated to establish the hydrological simulation program-fortran (HSPF) model for the study area so that the characteristics of non-point runoff were simulated. Furthermore, the detailed catchment area subject to non-point pollution management was selected and the effect of reducing non-point pollution was examined based on the various simulation results. Results and Discussion: The three sub-basins, including specific component of catchments, of Yongdam watershed was selected according to the load intensity and distribution of NPS pollution. The result of analyzing the load flowing into the downstream by rainfall intensity revealed that the pollutant load accounted for 11.8~19.9% in the dry season, and for Jinan-cheon sub-basin the load was high in the range of 10~30 mm while Janggye-cheon sub-basin and downstream of Janggye-cheon junction sub-basin showed a high load in the range 30~60 mm. In addition, the load duration curve (LDC) showed the excess frequency of BOD load was high when the flow rate increased at the end of stream for each sub-basin, whereas the load excess frequency was high in T-P in the entire flow range. LDC analysis led to us that the water quality of stream was affected by point and non-point pollutants in a complex way. When NPS pollution reduction facilities were installed by selecting 10 detailed catchments with high need for NPS pollution management, the reduction of T-P load was estimated to be reduced by 1.85 kg/d in Jinan-cheon sub-basin, 6.40 kg/d in Janggye-cheon sub-basin, and 6.58 kg/d in downstream of Janggye-cheon junction sub-basin. Conclusions: Through various simulation experiments using the HSPF model, it was feasible to select an catchment subject to NPS pollution control in detail and evaluate the effect of reducing NPS pollution. http://doi.org/10.4491/KSEE.2023.45.2.65catchmenthspf modelload duration curvenon-point source pollutionrainfall
spellingShingle Yong-Ho Choi
Yong-Hoon Jeong
Hong-Hue Thi Nguyen
Seung-Hyun Yoon
In-Gyong Yi
Dong-Heui Kwak
Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
대한환경공학회지
catchment
hspf model
load duration curve
non-point source pollution
rainfall
title Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
title_full Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
title_fullStr Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
title_full_unstemmed Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
title_short Evaluation of Non-Point Source Pollution Load Characteristics and Identifying Management Sub-Basin Area and Best Management Practices Using HSPF Model in Yongdam Dam Watershed
title_sort evaluation of non point source pollution load characteristics and identifying management sub basin area and best management practices using hspf model in yongdam dam watershed
topic catchment
hspf model
load duration curve
non-point source pollution
rainfall
url http://doi.org/10.4491/KSEE.2023.45.2.65
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