• Journal of Korean Society of Environmental Engineers
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• v.35 no.2
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• pp.84-93
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• 2013

The aims of this study were to investigate and confirm the occurrence and distribution patterns of perfluorinated compounds (PFCs) in Nakdong River basin (mainstream and its tributaries). 7 (PFOS, PFHpA, PFOA, PFNA, PFDA, PFUnDA and PFDoDA) out of 11 PFCs were detected in 29 sampling sites and PFOA and PFHpA were predominant compounds in upstream, but PFUnDA, PFDoDA and PFOS were predominant compounds in middle stream of Nakdong River basin. The total concentration levels of PFCs on February 2009 and on August 2009 in surface water samples ranged from 4.3. to 1168.2 ng/L and 16.4 to 627.8 ng/L, respectively. The highest concentration level of PFCs in the mainstream and tributaries in Nakdong River were Goryeong and Jincheon-cheon, respectively. The sewage treatment plants (STPs) along the river affect the PFCs levels in river and the PFCs levels decreased with downstream because of dilution effects.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.156-156
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• 2019

In this study, a gated recurrent unit (GRU) network is constructed based on a deep neural network (DNN) with the aim of restoring the missing daily flow data in river basins. Lai Chau hydrological station is located upstream of the Da river basin (Vietnam) is selected as the target station for this study. Input data of the model are data on observed daily flow for 24 years from 1961 to 1984 (before Hoa Binh dam was built) at 5 hydrological stations, in which 4 gauge stations in the basin downstream and restoring - target station (Lai Chau). The total available data is divided into sections for different purposes. The data set of 23 years (1961-1983) was employed for training and validation purposes, with corresponding rates of 80% for training and 20% for validation respectively. Another data set of one year (1984) was used for the testing purpose to objectively verify the performance and accuracy of the model. Though only a modest amount of input data is required and furthermore the Lai Chau hydrological station is located upstream of the Da River, the calculated results based on the suggested model are in satisfactory agreement with observed data, the Nash - Sutcliffe efficiency (NSE) is higher than 95%. The finding of this study illustrated the outstanding performance of the GRU network model in recovering the missing flow data at Lai Chau station. As a result, DNN models, as well as GRU network models, have great potential for application within the field of hydrology and hydraulics.

• The Korean Journal of Ecology
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• v.25 no.5
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• pp.305-313
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• 2002

The physico-chemical characteristics of water and sediment, and structures of vegetation of the vascular hydrophytes were investigated in the West Nakdong River. Water quality was eutrophic according to the mean values and the ranges of water properties such as pH, DO, BOD, chlorophyll a, total nitrogen and phosphate, and other nutrients. A few cases were hypereutrophic for chlorophyll a level in summer. Soil reaction was weak acid. Composition of sediment was mainly sand except in SI(Sinan chideung) of which was mainly clay, and SU(Suan chideung) of which was mainly silt. Flora of vascular hydrophyte had 26 species and 1 variety comprising 16 families. Trapa japonica was dominant species in the sites of DU(Dunchido), GA(Garak chideung) and SU. Nymphoides peltata and Hydrocharis dubia dominated in DA and SI, respectively. Species diversity and evenness were relatively high in SI and SU but dominance was high in DA. After June, water lettuce(Pistia stratiotes) and water hyacinth(Eichhornia crassipes) were flowed from tributary to the river. Standing crop of macrohydrophytes was high in DA from April to August, but it showed maximum standing crop (445g·dw/㎡) in DU after disturbance by explosive growth of exotic plants in October. In comparison with those in 1985, total productivities in DU and GA decreased to 33.5%, and the reduction ratio of dominant species, Trapa japonica was 56.7%. Najas marina, N. minor, Myriophyllum spicatum and Nymphoides indica have disappeared ever since the Nakdong barrage was constructed in the Nakdong river. They were divided into three groups (GA-SU-DU, DA, SI) by cluster analysis. Introduction of the exotic species in this river caused decreasing of endemic plants including endangered species Euryale ferox and rare species Hydocharis dubia, and food plants for waterfowl such as Trapa japonica, Vallisneria asiatica and Potamogeton crispus.

• Water for future
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• v.52 no.8
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• pp.16-21
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• 2019

• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.173-173
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• 2000

No Abstract, See Full Text

• Korean Journal of Soil Science and Fertilizer
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• v.50 no.6
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• pp.684-696
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• 2017

An investigation of grain size, organic compounds and metal distribution in lakes from Geum river basin (Republic of Korea) was conducted in two years (2014 and 2015). The samples of sediment were collected from the 3 lakes (12 sites). The samples were analyzed the concentration of metals (Pb, Zn, Cu, Cr, Ni, As, Cd, Hg, Al, and Li) and general indices including grain size. Spearman correlation coefficients were determined using general indices and metal concentrations respectively. The organic qualities of sediments were improved in 2015 compared with 2014. The concentrations of metals were lower than Sediment Criteria of Lakes in Korea. The significant Spearman correlation coefficients were presented only sand-clay, clay-water content, COD-TOC, Cu-Ni, Cd-Li, Zn-Li, and Cr-Ni of general and metal parameters in 2014, 2015 and both of two years.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.58-58
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• 2018

• Korean Journal of Environmental Agriculture
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• v.34 no.1
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• pp.64-68
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• 2015

BACKGROUND: Heavy metals (Al, As, Cd, Cr, Cu, Li, Hg, Ni, Pb, and Zn) were analyzed to elucidate the impact of weir construction on their concentrations in sediments of Geum River, Korea. We also attempted to investigate the source of the heavy metals in sediments. METHODS AND RESULTS: For this study, sediments were collected from May through June in 2012. The concentrations of heavy metals except Hg were determined by inductively coupled plasma mass spectrometer, and Hg was measured by automatic mercury analyzer. More clay were accumulated in the furthest stations in the upstream direction starting from the weirs. Most of the heavy metals showed higher concentrations in the most upstream located station of Geumnam Weir. However, high concentrations were not observed in the most upstream stations of the other weirs. The concentrations of Hg and As were much higher in sediments of Gap Stream. CONCLUSION: Gap Stream may be a potential source for high deposits of As and Hg. Presence of the dams may not play an important role in controlling heavy metal concentrations in sediments. It is necessary to monitor heavy metal concentrations for a longer time period to study the effect of environmental changes on heavy metal distribution in Geum River.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.131-131
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• 2021

Deep learning models, especially those based on long short-term memory (LSTM), have presented their superiority in addressing time series data issues recently. This study aims to comprehensively evaluate the performance of deep learning models that belong to the supervised learning category in streamflow prediction. Therefore, six deep learning models-standard LSTM, standard gated recurrent unit (GRU), stacked LSTM, bidirectional LSTM (BiLSTM), feed-forward neural network (FFNN), and convolutional neural network (CNN) models-were of interest in this study. The Red River system, one of the largest river basins in Vietnam, was adopted as a case study. In addition, deep learning models were designed to forecast flowrate for one- and two-day ahead at Son Tay hydrological station on the Red River using a series of observed flowrate data at seven hydrological stations on three major river branches of the Red River system-Thao River, Da River, and Lo River-as the input data for training, validation, and testing. The comparison results have indicated that the four LSTM-based models exhibit significantly better performance and maintain stability than the FFNN and CNN models. Moreover, LSTM-based models may reach impressive predictions even in the presence of upstream reservoirs and dams. In the case of the stacked LSTM and BiLSTM models, the complexity of these models is not accompanied by performance improvement because their respective performance is not higher than the two standard models (LSTM and GRU). As a result, we realized that in the context of hydrological forecasting problems, simple architectural models such as LSTM and GRU (with one hidden layer) are sufficient to produce highly reliable forecasts while minimizing computation time because of the sequential data nature.

• Ecology and Resilient Infrastructure
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• v.9 no.2
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• pp.93-99
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• 2022

It was confirmed that the fish diversity decreased with increasing index of weir's density (IWD) in the four river systems. The IWD showed difference with watershed, it was high in the Nakdong River (NDR). Both two river systems of Gum River (GUR) and Yeongsan River (YSR) were similar, whereas relatively lower density observed in the Han River (HNR) system. A result of 2-Dimensional Kolmogorov-Smirnov (2-DKS) as a nonparametic test showed different threshold values affecting fish diversity with the river systems. The p-values based on D_max, were significantly different at 0.05 level (except for YSR). The threshold values affecting fish diversity were also different with watershed. The values were 1.6/km of the HNR, 1.3/km of the NDR, and 2.3/km of the GUR, respectively. The fish diversity was decreased when IWD is over threshold values. The IWD of total 404 rivers (about 33%) among 1,217 surveyed in this study showed above threshold value. These rivers should be considered first for evaluating river continuity. The IWD and threshold value suggested in this study would be useful for selecting a stream priority for river connectivity study.