Effect of Pollutants Control Measures in So-oak Watershed on the Control of Algae Growth in Daecheong Reservoir

Park, Hyung Seok; Yoon, Sung Wan; Chung, Shu-Hsing; Hwang, Hyun Suk

doi:10.14249/eia.2016.25.4.248

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…It has a high ratio of basin area to reservoir area, rendering it susceptible to water quality degradation when compared to other reservoirs of similar size. This vulnerability arises due to a substantial resident population and concurrent pollution load upstream (Park et al, 2016). During the summer season, rainfall events introduce substantial nitrogen and phosphorus concentrations into the lake, primarily from the So-okcheon watershed, the focal point of this study (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

“…The So-okcheon watershed is divided into seven smaller areas, controlled by the national Total Pollution Load Management System. While the TP concentration of discharged water from the two sewage treatment plants within the watershed currently complies with water quality standards (below 0.2 mg/L), the inflow TP concentration remains alarmingly high, posing challenges in controlling algal growth in Daecheong Lake (Park et al, 2016).…”

Section: Study Areamentioning

confidence: 99%

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Efficiency analysis of best management practices under climate change conditions in the So-okcheon watershed, South Korea

Kim,

Yu,

Lee

et al. 2024

Front. Environ. Sci.

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Best management practices (BMPs) are widely applied to address water quality degradation issues attributed to non-point source pollutants. The objective of this study was to assess the efficiency of two types of BMPs, vegetation filter strips (VFS) and wetlands, in reducing total nitrogen (TN) and total phosphorus (TP) in a watershed, and to investigate whether the efficiency of the two BMPs is maintained under future climate scenarios by employing the Soil and Water Assessment Tool (SWAT). A set of parameters was calibrated using the SWAT Calibration and Uncertainty Program (SWAT-CUP) to ensure acceptable simulation results. Three BMP scenarios were developed by applying VFS and wetlands individually and in combination. Projected climate data from 18 global circulation models under Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) were used to depict climate change conditions. VFS demonstrated 18.2% and 22.9% greater reduction efficiency for TN and TP, respectively, relative to wetlands. When the two BMPs were simultaneously applied, the reduction efficiency was even greater than that of single-BMP implementation (by 7.4% for TN and 6.8% for TP compared to VFS alone and by 25.5% for TN and 29.7% for TP compared to wetlands alone). To assess the effect of climate change, the model simulated results for the period of 2021–2,100. The differences in efficiency between the combined BMP scenario and the individual BMPs increased with greater intensity of climate change, especially in the distant future. Therefore, this study supports the effectiveness of nutrient pollution control by applying multiple BMPs rather than by applying individual BMPs. Furthermore, this research underscores the adaptability and reliability of natural-based solutions in mitigating non-point source pollution in a changing climate, which is essential for effective ecological restoration in complex urban-agricultural landscapes. The study provides valuable insights for watershed managers and policymakers seeking effective strategies to combat nutrient pollution in the face of a changing climate within the unique landscape of South Korea.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Efficiency analysis of best management practices under climate change conditions in the So-okcheon watershed, South Korea

Kim,

Yu,

Lee

et al. 2024

Front. Environ. Sci.

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“…If the eigenvalue is greater than 1.0, it means that one principal component can explain more than one variable. Therefore, the principal component is extracted based on principal components with an eigenvalue of 1.0 or greater (Varol et al 2012;Park et al 2019).…”

Section: Principal Component Analysismentioning

confidence: 99%

Water quality assessment of the Nam River, Korea, using multivariate statistical analysis and WQI

Kwon

2023

Int. J. Environ. Sci. Technol.

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Water quality assessment using water quality index (WQI) is performed based on major variables reflecting the river characteristics. We evaluated the water quality of tributaries of the Nam River in South Korea. We analyzed the tributaries spatial characteristics using cluster analyses and selected the main water quality variables (Cluster 1: chemical oxygen demand [COD], total organic carbon [TOC], total nitrogen, and total phosphorus; Cluster 2: water temperature [WT], dissolved oxygen [DO], COD, and TOC; Cluster 3: WT, DO, electrical conductance, COD, and TOC) of the clustered rivers. The WQI for each tributary was calculated using variables selected post statistical analysis. We verified that the WQI calculated in this study was similar to the annual change in water quality of the target river. Finally, it was analyzed that performing river water quality evaluation using the major variables selected using statistical analysis reflects the current water quality status of the river in more detail. (WQI grade was S1 Good (63.0), S2 Poor (53.3), S3 Excellent (98.4), S4 Poor (48.4), S5 (Excellent (100.0), S6 Good (77.6), S7 Good (76.2), S8 Good (76.5), S9 Good (69.9), S10 Excellent (81.5), S11 Good (71.2), S12 Good (63.1), and S13 Good (63.5).) Our method effectively reduced the number of variables required for index calculation compared with WQI methods of the MOE. Further, the reduced number of variables simplified the analysis process, reduced analysis time, and enabled water quality assessment that reflected the water quality characteristics of the river to be evaluated.

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“…The average water depth is 20 m. In the Daecheong dam region, the Chuso (CS) and Huinam (HN) regions, denoted by the red boxes in Figure 1, were selected for the case study. In particular, CS has been reported as a region with severe cyanobacteria outbreaks because of a high nutrient load and prolonged water retention time [22]. HN has a deeper water depth (i.e., 25 m) and a shorter water retention time compared to CS, resulting in relatively fewer algal blooms.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water

et al. 2021

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Remote sensing can detect and map algal blooms. The HydroLight (Sequoia Scientific Inc., Bellevue, Washington, DC, USA) model generates the reflectance profiles of various water bodies. However, the influence of model parameters has rarely been investigated for inland water. Moreover, the simulation time of the HydroLight model increases as the amount of input data increases, which limits the practicality of the HydroLight model. This study developed a graphical user interface (GUI) software for the sensitivity analysis of the HydroLight model through multiple executions. The GUI software stably performed parameter sensitivity analysis and substantially reduced the simulation time by up to 92%. The GUI software results for lake water show that the backscattering ratio was the most important parameter for estimating vertical reflectance profiles. Based on the sensitivity analysis results, parameter calibration of the HydroLight model was performed. The reflectance profiles obtained using the optimized parameters agreed with observed profiles, with R2 values of over 0.98. Thus, a strong relationship between the backscattering coefficient and the observed cyanobacteria genera cells was identified.

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Effect of Pollutants Control Measures in So-oak Watershed on the Control of Algae Growth in Daecheong Reservoir

Cited by 3 publications

References 15 publications

Efficiency analysis of best management practices under climate change conditions in the So-okcheon watershed, South Korea

Efficiency analysis of best management practices under climate change conditions in the So-okcheon watershed, South Korea

Water quality assessment of the Nam River, Korea, using multivariate statistical analysis and WQI

Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water

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