Water quality projection in the Geum River basin in Korea to support integrated basin-wide water resources management

Noh, Joon-Woo; Choi, Hyun-Gu; Lee, Sang-Jin

doi:10.1007/s12665-014-3524-y

Cited by 5 publications

(8 citation statements)

References 8 publications

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“…4 shows nitrate (NO 3 − ) as a nutrient element factor, COD (chemical oxygen demand) as an algae factor, SS as a direct e uent factor, and EC as an overall water quality indicator. The BOD of the Geum River showed a gradual increase from upstream to downstream, and it signi cantly increased after passing S2, which is consistent with previous reports by researchers (Ahn et al, 2017;Noh et al, 2015). The S1 point of Fig.…”

Section: Sampling and Analysis Methodssupporting

confidence: 90%

“…As mentioned earlier, the densely populated areas in the central region of South Korea are considered to be located between S2 and S3 (KOSIS, 2023). Large-scale municipal wastewater treatment plants (WWTPs) located in these areas discharge their e uent into tributary streams that ow into the Geum River (Ahn et al, 2017;Liu et al, 2018;Noh et al, 2015). Conspicuous seasonal uctuations in SS were observed from middle to downstream.…”

Section: Sampling and Analysis Methodsmentioning

confidence: 99%

“…In particular, the water quality of the main stream of the Geum River is signi cantly affected by the water quality of the owing tributaries. Surface water quality at the downstream of Daecheong dam has a high pollution load up to the Sejong weir because tributary streams are polluted due to runoff from wastewater treatment plants and urban development (Noh et al, 2015). Meanwhile, the three weirs installed in the lower part of the Geum River are known to contribute to suppressing pollution in the main stream of the Geum River by blocking water pollution through storage.…”

Section: Factor Analysismentioning

confidence: 99%

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Water Quality Investigation and Pollution Estimation of Groundwater Related to Reservoir Water Along the Main Stream in Geum River Basin, Korea

Choi

Koh

Yoon

2023

Preprint

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This study aims to identify spatially water quality distribution of groundwater and surface water in reservoirs, and comprehensively to address possible influencing factors. The concentration of NO3 in the reservoirs along the main stream of the Geum River was generally lower than that in groundwater. The pollution level of the reservoir, especially the particulate pollutant SS, clearly showed seasonal variations and increased significantly downstream. The H-3 concentration of the groundwater was high in the plains and low in the mountain areas, indicating a difference in residence time between the two regions. The hydrochemical properties and factor loading values of the principal components indicated that the major factors were water‒rock interactions and residence time, but a positive correlation of K-NO3 and Mg-Cl showed the influence of agricultural activities. The main groundwater pollutants were likely to be contributed by agricultural activities at upstream and seawater infiltration at downstream. The sensitive redox species uranium in the groundwater of this region existed as the uranyl ion, and it showed a positive correlation with HCO3, pH, and Ca. The results emphasize the importance of monitoring both tributaries and groundwater together in order to effectively manage the water quality of the Geum River basin.

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Section: Sampling and Analysis Methodssupporting

confidence: 90%

Section: Sampling and Analysis Methodsmentioning

confidence: 99%

Section: Factor Analysismentioning

confidence: 99%

See 1 more Smart Citation

Water Quality Investigation and Pollution Estimation of Groundwater Related to Reservoir Water Along the Main Stream in Geum River Basin, Korea

Choi

Koh

Yoon

2023

Preprint

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“…Bitencourt (2018) reported that most works for framing water courses in Brazil use one-dimensional models of steady states. One-dimensional models, such as QUAL2E, QUAL2K and QUAL-UFMG, are used to generate current and future water quality scenarios for water courses (Lima et al, 2018;Fantin et al, 2017;Calmon et al, 2016;Salla et al, 2013;Teodoro et al, 2013;Silva, 2016;Noh et al, 2015;Babbar, 2014;Wu & Fan, 2017;Korf et al, 2017). However, it should be considered that different flow rates influence water quality behaviour, as demonstrated by Brites (2010), Ferreira et al (2016) and Calmon et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Scenarios of water quality management in watershed with distributed spatio-temporal simulation

Knaesel

Pinheiro

Venzon

et al. 2020

RBRH

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The implementation of National Water Resources Policy instruments depends on detailed information in space and time, on a large scale, within the river basin. This research aims to evaluate scenarios to support water quality management in watershed by modelling with spatio-temporal discretization distributed in a small spatial dimension. The SWAT hydrological model was applied in the Itajai river basin. This hydrographic basin with 15,000 km2 was discretized in 2,103 hydrological response units (HRUs). The model input data for each HRU were fed in, from the quantitative and qualitative aspects. The time series of water quality was obtained in non-systematic monitoring from different sources, such as water supply companies and potential polluting companies, among others. The model calibration and validation were performed, presenting adequate results for both the quantitative and qualitative processes. The scenarios corresponding to current and evolutionary situations of pollutant contribution for four water quality parameters (biochemical oxygen demand, total phosphorus, total nitrogen and thermotolerant coliforms) were analysed. The results are expressed as the mean, median, non-exponential frequency of 80% and reference flow, discussing the statistical index that best represents the pollutant concentrations in the bodies of water. The simulations show that the measures proposed for the water quality management of the basin promote a significant reduction in pollutant concentrations in comparison to the critical scenario. According to the results, it can be affirmed that the discretization of the basin in small contribution areas generates greater results precision of the model. The daily and distributed data in the basin provide localized information, according to the basin ortho coding, supporting the decision in order to support the management of water resources, contributing to the implementation process of the framework of surface water courses in the basin, as well as serving as a generic model for other purposes.

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“…The river flows into the west sea and total length of the river is 395.9 km along with a total river area of 9835.3 km 2 . For these reasons, the river is the largest water source for drinking water and agricultural and industrial uses in the province (Noh et al 2015). It has been reported that several tributaries deliver most nutrients or contaminants into the main channel of the Geum River.…”

Section: Introductionmentioning

confidence: 99%

An influence of mesohabitat structures (pool, riffle, and run) and land-use pattern on the index of biological integrity in the Geum River watershed

Calderón

2016

j ecology environ

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Background: Previous studies on the biological integrity on habitat and landuse patterns demonstrated ecological stream health in the view of regional or macrohabitat scale, thus ignored the mesoscale habitat patterns of pool, riffle, and runs in the stream health analysis. The objective of this study was to analyze influences on the mesohabitat structures of pool, riffle, and run reaches on the fish guilds and biological integrity in Geum-River Watershed. Results: The mesohabitat structures of pool, riffle, and run reaches influenced the ecological stream health along with some close relations on the fish trophic and tolerance guilds. The mesoscale components altered chemical water quality such as nutrients (TN, TP) and BOD and these, then, determined the primary productions, based on the sestonic chlorophyll-a. The riffle-reach had good chemical conditions, but the pool-reach had nutrient enrichments. The riffle-reach had a predominance of insectivores, while the pool-reach has a predominance of omnivores. Also, the riffle-reach had high proportions of sensitive fish and insectivore fish, and the pool-reach had high proportions of tolerant species in the community composition. The intermediate fish species in tolerance and omnivorous fish species in the food linkage dominated the community in the watershed, and the sensitive and insectivorous fishes decreased rapidly with a degradation of the water quality. All the habitat patterns were largely determined by the land-use patterns in the watershed. Conclusions: Trophic guilds and tolerance guilds of fish were determined by land-use pattern and these determined the stream health, based on the Index of Biological Integrity. This study remarks the necessity to include additional variables to consider information provided by mesohabitats and land-use distributions within the selected stream stretch. Overall, our data suggest that land-use pattern and mesohabitat distribution are important factors to be considered for the trophic and tolerance fish compositions and chemical gradients as well as ecological stream health in the watershed.

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Water quality projection in the Geum River basin in Korea to support integrated basin-wide water resources management

Cited by 5 publications

References 8 publications

Water Quality Investigation and Pollution Estimation of Groundwater Related to Reservoir Water Along the Main Stream in Geum River Basin, Korea

Water Quality Investigation and Pollution Estimation of Groundwater Related to Reservoir Water Along the Main Stream in Geum River Basin, Korea

Scenarios of water quality management in watershed with distributed spatio-temporal simulation

An influence of mesohabitat structures (pool, riffle, and run) and land-use pattern on the index of biological integrity in the Geum River watershed

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