• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.323-323
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• 2019

최근 충주댐 하류에 위치한 남한강 본류에서는 봄철 지속되는 가뭄으로 인한 유량부족과 인근 주요 유입하천으로부터의 과다한 영양염류 유입으로 갈수기 수질오염 문제가 빈번히 발생하고 있다. 그러나 아직까지 충주댐 하류 남한강 본류 하천을 대상으로 기후변화에 따른 장래 갈수기 수질변화 예측과 상류 유역에서의 유량 확보가 본류 하천 갈수기 수질에 미치는 영향을 정량적으로 분석한 연구는 미흡한 실정이다. 따라서 본 연구에서는 충주댐 하류 남한강 본류 구간과 주요 유입하천을 대상으로 유역 및 수질 모델 연계를 통해 극한 가뭄 사상에 따른 남한강 본류의 장래 갈수기수질 변화를 예측하고, 섬강 유역 내 갈수기 유량 확보 시나리오 적용을 통해 극한 가뭄 사상에서의 섬강 말단 및 남한강 본류 갈수기 수질 개선 효과를 분석하였다. 갈수기 유량 확보 시나리오는 산림 간벌에 따른 증발산량 저감 및 침투량 증진 시나리오로 구성하였다. 시나리오 적용 결과, 섬강 유역에서의 갈수기 평균 유량은 최대 2.19배까지 증가하는 것으로 분석되었으며, 갈수기 수질평균 농도는 최대 BOD5 20.5%, T-N 40.8%, T-P 53.4%까지 개선되는 것으로 나타났다. 또한 섬강 유역에서의 갈수기 유량 확보에 따라 남한강 본류 갈수기 수질 평균 농도는 최대 BOD5 5.22%, T-N 5.42%, T-P 7.69%까지 개선되는 것으로 나타났다. 본 연구의 결과를 통해서 산림 간벌에 따른 기저유량의 확보가 갈수기 하천 수량 및 수질에 긍정적인 영향을 미치는 것을 간접적으로 확인할 수 있었으며, 이는 수량 수질뿐만 아니라 수생태계 건강성 연속성 유지 측면에서 큰 기여를 할 수 있을 것이라 판단된다. 따라서, 섬강 유역 내 갈수기 유량 확보 방안으로 적절 수준의 산림 간벌 대책이 강구되어야 할 것이며, 산림 간벌 이외에 갈수기 유량 확보를 위한 빗물 이용, 공공하수처리시설 방류수 재이용, 우수의 저류 및 침투시설 확충 등 다양한 대책이 검토되어야 할 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.157-166
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• 2021

Forecasting dam inflow based on high reliability is required for efficient dam operation. In this study, deep learning technique, which is one of the data-driven methods and has been used in many fields of research, was manipulated to predict the dam inflow. The Long Short-Term Memory deep learning with Sequence-to-Sequence model (LSTM-s2s), which provides high performance in predicting time-series data, was applied for forecasting inflow of Soyang River dam. Various statistical metrics or evaluation indicators, including correlation coefficient (CC), Nash-Sutcliffe efficiency coefficient (NSE), percent bias (PBIAS), and error in peak value (PE), were used to evaluate the predictive performance of the model. The result of this study presented that the LSTM-s2s model showed high accuracy in the prediction of dam inflow and also provided good performance for runoff event based runoff prediction. It was found that the deep learning based approach could be used for efficient dam operation for water resource management during wet and dry seasons.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.2
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• pp.163-174
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• 2021

Heatwaves are one of the most common phenomena originating from changes in the urban thermal environment. They are caused mainly by the evapotranspiration decrease of surface impermeable areas from increases in temperature and reflected heat, leading to a dry urban environment that can deteriorate aspects of everyday life. This study aimed to calculate daily maximum ground surface temperature affecting heatwaves, to quantify the effects of urban thermal environment control through water cycle restoration while validating its feasibility. The maximum surface temperature regression equation according to the impermeable area ratios of urban land cover types was derived. The estimated values from daily maximum ground surface temperature regression equation were compared with actual measured values to validate the calculation method's feasibility. The land cover classification and derivation of specific parameters were conducted by classifying land cover into buildings, roads, rivers, and lands. Detailed parameters were classified by the river area ratio, land impermeable area ratio, and green area ratio of each land-cover type, with the exception of the rivers, to derive the maximum surface temperature regression equation of each land cover type. The regression equation feasibility assessment showed that the estimated maximum surface temperature values were within the level of significance. The maximum surface temperature decreased by 0.0450℃ when the green area ratio increased by 1% and increased by 0.0321℃ when the impermeable area ratio increased by 1%. It was determined that the surface reduction effect through increases in the green area ratio was 29% higher than the increasing effect of surface temperature due to the impermeable land ratio.

• Journal of Korean Society of Disaster and Security
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• v.15 no.2
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• pp.45-56
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• 2022

The countermeasure for the shortage of water during dry season and drought period has not been considered with return flowrate in detail. In this study, the outflow of STP was predicted through a data-based machine learning model, LSTM. As the first step, outflow, inflow, precipitation and water elevation were utilized as input data, and the distribution of variance was additionally considered to improve the accuracy of the prediction. When considering the variability of the outflow data, the residual between the observed value and the distribution was assumed to be in the form of a complex trigonometric function and presented in the form of the optimal distribution of the outflow along with the theoretical probability distribution. It was apparently found that the degree of error was reduced when compared to the case not considering where the variance distribution. Therefore, it is expected that the outflow prediction model constructed in this study can be used as basic data for establishing an efficient river management system as more accurate prediction is possible.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.247-247
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• 2023

Coastal lagoons play a crucial role in water exchange, water quality, and biodiversity. It is essential to monitor and understand the dynamics of hydrogeochemistry in lagoon water and its groundwater to preserve and sustainably manage the groundwater-dependent ecosystems like coastal lagoons. This study investigated the spatial and temporal hydrogeochemical characteristics of coastal lagoon (Songjiho) and groundwater on the east coast of Korea. The concentrations of major ions, water isotopes, and nutrients (nitrogen and dissolved organic carbon) in lagoon water and groundwater were periodically monitored for one year. The study revealed that major ions and total dissolved solids (TDS) concentration were higher at deeper depths of aquifers and closer to the coastal area. The hydrogeochemical characteristics of coastal lagoon and groundwater chemistry were classified into two types, Ca-Mg-HCO₃ and Na-Cl, based on their spatial location from inland to coastal area. Moreover, the hydrogeochemical characteristics of coastal lagoons and groundwater varied significantly depending on the season. During the wet season, the increased precipitation and evaporation lead to changes in water chemistry. As a result, the total organic carbon (TOC) of coastal lagoons increases during this season, likely due to increased runoff by rainfall whereas the variation of chemical compositions in the lagoon and groundwater were not significant because there is reduced precipitation, resulting in stable water levels and during the dry season. The study emphasizes the impact of spatial distribution and seasonal changes in precipitation, evaporation, and river discharge on the hydrogeochemical characteristics of the coastal aquifer and lagoon system. Understanding these impacts is crucial for managing and protecting coastal lagoons and groundwater resources.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.2
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• pp.201-211
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• 2022

At the center of the Noryang waterway, the Gwangyang bay area (including the Yeosu Strait) is located at the west, and the Jinju bay area (including Gangjin bay and Sacheon bay) is located at the east. Freshwater from several rivers is flowing into the study area. In particula,r the event of flood, great quantities freshwater flow from Seomjingang (Seomjin river) into the Gwangyang bay area and from Gahwacheon (discharge from Namgang Dam) into the Jinju bay. The Gwangyang and Jinju bay are connected to the Noryang waterway. In addition, freshwater from Seomjingang and Gahwacheon also affect through the Noryang waterway. In this study, we elucidated the characteristics of the tidal exchange rate and residence time for dry season and flood season on 50 frequency, considering freshwater from 51 rivers, including Seomjingang and Gahwacheon, using a particle tracking method. We conducted additional experiments to determine the effect of freshwater from Seomjingang and Gahwacheon during flooding. In both the dry season and flood season, the result showed that the particles released from the Gwangyang bay moved to the Jinju bay through the Noryang waterway. However, comparatively small amount of particles moved from the Jinju bay to the Gwangyang bay. Each experimental case, the sea exchange rate was 44.40~67.21% in the Gwangyang bay and 50.37~73.10% in the Jinju bay, and the average residence time was 7.07~15.36days in the Gwangyang bay and 6.45~12.75days in the Jinju bay. Consequently the sea exchange rate increased and the residence time decreased during flooding. A calculation of cross-section water flux over 30 days for 7 internal and 5 external areas, indicated that the main essential flow direction of the water flux was the river outflow water from Seomjingang flow through the Yeosu strait to the outer sea and from Gahwacheon flow through Sacheon bay, Jinju bay and the Daebang waterway to the outer sea.

• Journal of Korea Foresty Energy
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• v.17 no.1
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• pp.8-22
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• 1998

The phytomass and productivity of the evergreen needle pines(Pinus densiflora and Pinus rigida) and of the deciduous broad- leaved oaks(Quercus acutissima, Quercus variabililis and Quercus mongolica) in the watershed forests of South Han River, central part of Korea was estimated by the allometry. The allometic relations between D$^2$H and dry weight of stem(Ws), branches(Wb) and leaves(Wl) of these forests were as follows: Pinus densiflora community : logWs=0.58482D$^2$H-0.42417 logWb=0.6234D$^2$H-1.2321 logWl=0.2247D$^2$H-0.09359 Pinus rigida community : logWs=0.9218D$^2$H-1.4692 logWb=1.0064D$^2$H-2.2278 logWl=0.6275D$^2$H-1.1715 Quercus acutissima community : logWs=0.96659D$^2$H-1.56975 logWb=0.86315D$^2$H-2.17944 logWl=0.79876D$^2$H-1.97137 Quercus variabilis community : logWs=0.4753D$^2$H＋0.20026 logWb=0.5725D$^2$H-0.92006 logW1=0.61649D$^2$H-1.4288 Quercus momgolica community : logWs=0.5526D$^2$H-0.1228 logWb=0.5188D$^2$H-0.9787 logWl=0.7754D$^2$H-2.6273 From the above formulae, the phytomass of Pinus densiflora was estimated to be much as 1,200,000 ton, Pinus rigida 610,000 ton, Quercus acutissima 289 ton, Quercus variabilis 2,800ton and Quercus mongolica 570,000 ton in the surveyed area, respectively. Accordingly, the phytomass of Pinus densiflora forest was occupied about 43.9 % in toto and was higher thanthose of other forests. The phytomass of watershed forests belonging to Degree 8 and Degree7 divided by degree of green naturality(DGN) was 74,000 ton and 2,000,000 ton, resfectively. Accordingly, the watershed forests in South Han River were mainly composed of Pinus densiflora and Quercus mongolica forests belonging to Degree 7.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.21 no.1
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• pp.24-35
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• 2016

To assess the relationship between environmental factors and seasonal phytoplankton community structure, we investigated abiotic and biotic factors in Ulsan Bay, Korea. We divided the bay into two areas based on geographical characteristics and compared the difference in each factor between inner and outer bay with t-test statistics. As a result, temperature in the outer bay was higher than that of the inner bay during winter (t = -5.833, p < 0.01) and autumn (p > 0.05). However, opposite trend was observed during spring (t = 4.247, p < 0.01) and summer (t = 2.876, p < 0.05). Salinity was significantly lower in the inner bay than in the outer bay in winter, spring, and summer (p < 0.01). However, the salinity was not significantly different between the inner and the outer bay in the autumn (p > 0.05). In particular, high nutrient concentration was observed in most stations during winter season due to vertical well mixing. The nutrient concentration was significantly higher in surface layers of inner bay after rainfall, particularly in the summer. The relative contribution (approximately 70%) of < $20{\mu}m$ (nano and pico) size phytoplankton was increased in all seasons with continuously low nutrients from the offshore water due to their adaption to low nutrient without other large competitors. Interestingly, high population of Eutreptiella gymnastica was kept in the inner bay during the spring and summer associated with high DIN (nitrate+nitrite, ammonium) after river discharge following rainfall, suggesting that DIN supply might have triggered the increase of Eutreptiella gymnastica population. In addition, high density of freshwater species Oscillatoria sp. and Microcystis sp. were found in several stations of the inner bay that were provided with large amounts of freshwater from the Tae-wha River. Diatom and cryptophyta species were found to be dominant species in the autumn and winter. Of these, centric diatom Chaetoceros genus was occupied in the outer bay in the autumn. Cryptophyta species known as opportunistic micro-algae were found to have high biomass without competitors in the inner bay. Our results demonstrated that Ulsan Bay was strongly affected by freshwater from Tae-wha River during the rainy season and by the surface warm water current from the offshore of the bay during dry season. These two external factors might play important roles in regulating the seasonal phytoplankton community structures.

• Korean Journal of Environmental Agriculture
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• v.20 no.4
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• pp.252-257
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• 2001

To get the basic information for the water quality improvement and control of water resource at Mankyeong river stream, the water quality in four site of main stream and three site of branch stream at the upper stream were investigated mainly from February to August in 2000. The water temperature was affected by depth, flow rate of the water, and air temperature, and ranged 6.4 to $30.8^{\circ}C$. The pH, DO and BOD values of the water was $5.9{\sim}9.7$, $4.6{\sim}14.50\;mg/L$, and $0.1{\sim}11.8\;mg/L$ range, respectively. The content of total nitrogen, $NO_3-N$ and $NH_4-N$ was $1.19{\sim}10.61\;mg/L$, $1.00{\sim}5.93\;mg/L$, and ND $(non\;detected){\sim}2.79$ mg/L, respectively. The concentration of total phosphorus was ND to 1.14 mg/L. The concentration of Cl ion was $3.5{\sim}196.4\;mg/L$. The content of Fe and Mn was $0.002{\sim}0.100\;mg/L$ and $ND{\sim}0.04\;mg/L$, respectively. The contents of heavy metal Cd, Cu, and Zn were $ND{\sim}0.03\;mg/L$, $ND{\sim}0.05\;mg/L$, and $0.001{\sim}0.17\;mg/L$, respectively. Pb was not detected in all the samples. The pH, total nitrogen contents, and total phosphorus content were frequently exceeded the water quality standard for agriculture. The degree of water pollution was very varied by the sampling place. The water quality was generally polluted in the dry season more than in rainy season. The highest level of water pollution observed in the area of Samyea Bridge among the 7 sites.

• Korean Journal of Environmental Agriculture
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• v.24 no.2
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• pp.83-90
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• 2005

This study was conducted to evaluate the influence of pollutant loads on the water quality in the Mankyeong River from January 2002 to December 2004. The BOD level in upstream ranged from 0.58 to 1.57 mg $L^{-1}$, which would be in I grade according to water quality criteria by Ministry of Environment but BOD level in midstream and downstream was III grade. T-N contents were high in midstream and the average T-P level ranged from 0.06 to 2.70 mg $L^{-1}$. The point raw loads of BOD was high in Iksancheon, Mokcheonpo and Cheongha basin. The point raw loads of T-N and T-P were high in Iksancheon and Cheongha watershed. The non-point low loads of BOD were 3,931 kg $day^{-1}$, 2,870 kg $day^{-1}$ and 2,827 kg $day^{-1}$ in Mokcheonpo, Top and Jeonju watershed, respectively. The major source of BOD effluent load was population, that of T-N and T-P effluent loads was livestock. The delivered load of T-N were high in Jeonju, Mokcheonpo, Gosan, Iksancheon watershed in order. The delivered load of T-N was high in Jeonju watershed and that of T-P was high in Jeonju and Iksancheon watershed. The delivery ratio of BOD and T-N at dry season were below 100% except Mokcheonpo watershed. The delivery ratio of BOD and T-N at raining season were high in Gosan watershed.