• Resources Recycling
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• v.10 no.4
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• pp.24-33
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• 2001

For making a high degree of efficiency, this study attempts to gather each arisen-sludge from experiments and examine into its characteristics, in order to compare the biological reason of removing phosphorus with sintered body using calcite and the artificial reason of removing with a chemical reagent. First, it can be seen that sludge, which is identified CaCO$_3$, of 0.1∼0.2$\mu$m is regularly formed when using sintered body, calcite. And it is one of the results of the chemical methods in order to remove phosphorus that can be seen that sludges of 100∼50 $\mu$m are formed and that the forms of Ca$_2$P$_2$O$\_$7/, Ca$_3$(PO$_4$)$_2$$.$nH$_2$O, $\beta$-Ca$_2$P$_2$O$\_$7/ are shown when using a reagent, CaO dissolved water. The other of the results of the chemical methods can be seen that a lumpof sludge is formed when using wastewater and a reagent Ca$^2$$\^$+/ are used, and that the lump consists of Ca$_3$(PO$_4$)$_2$$.$nH$_2$O와 Ca$_2$H$_2$P$_4$O$\_$14/.

• The Korean Journal of Petroleum Geology
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• v.10 no.1_2 s.11
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• pp.34-39
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• 2004

This article discusses stratigraphy and geological history of continental shelf area covering of offshore San-in to Tsushima islands. Geological data from 5 wells and detailed seismic surveys indicate that sediments in the studied area are divided into 4 stratigraphic groups ranging from Oligocene to Tertiary in age, namely X, H, K, and D groups in ascending order. The oldest X group of Oligocene time comprises paralic sediments including volcanics deposited in the initial stage of basin-formation. N group of mainly lower Miocene time consists of deep marine sediment, representing the highest stage of transgression. Sediments of the K group of middle Miocene time show distinct off-lapping depositional pattern during the basinfilling stage. The youngest D group covers these older groups unconformably. Strong deformation of sediments prior to the deposition of the D group formed many anticlinal structures. Five exploratory wells were drilled at the selected structures, where only minor gas shows were encountered. The area provides the enough palaeotemperature to mature the source rocks at moderate depth.

• Journal of Korean Society on Water Environment
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• v.37 no.5
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• pp.335-343
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• 2021

Water quality prediction is essential for the proper management of water supply systems. Increased suspended sediment concentration (SSC) has various effects on water supply systems such as increased treatment cost and consequently, there have been various efforts to develop a model for predicting SSC. However, SSC is affected by both the natural and anthropogenic environment, making it challenging to predict SSC. Recently, advanced machine learning models have increasingly been used for water quality prediction. This study developed an ensemble machine learning model to predict SSC using the XGBoost (XGB) algorithm. The observed discharge (Q) and SSC in two fields monitoring stations were used to develop the model. The input variables were clustered in two groups with low and high ranges of Q using the k-means clustering algorithm. Then each group of data was separately used to optimize XGB (Model 1). The model performance was compared with that of the XGB model using the entire data (Model 2). The models were evaluated by mean squared error-ob servation standard deviation ratio (RSR) and root mean squared error. The RSR were 0.51 and 0.57 in the two monitoring stations for Model 2, respectively, while the model performance improved to RSR 0.46 and 0.55, respectively, for Model 1.

• Journal of Environmental Science International
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• v.27 no.11
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• pp.1117-1127
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• 2018

This study was carried out to gather basic data for the purpose of proposing a plan to improve the water quality and conserve the aquatic ecosystem of the Singu Agricultural Reservoir in Korea. The water quality, sediment composition, benthic macroinvertebrate distribution, and fish distribution in the Singu Reservoir were analyzed; the reservoir is located close to farmlands, forests, villages, and livestock breeding areas. The results of the water quality analysis are as follows: 5.8~7.8 mg/L for dissolved oxygen, 13.1~20.7 mg/L for chemical oxygen demand, 14.4~18.8 mg/L for suspended solid, 0.96~1.70 mg/L for total nitrogen, 0.07~0.11 mg/L for total phosphorous, and $41.9{\sim}49.8{\mu}g/L$ for $chlorophyll-{\alpha}$. In total, 75 benthic macroinvertebrate specimens belonging to 4 classes, 7 orders, 14 families, and 17 species were recorded. The ecological scores of the benthic macroinvertebrate communities ranged from 11 to 23. Fish specimens recorded belonged to two families and four species. The dominant fish species were Carassius auratus and Pseudorasbora parva, both of which are water-pollutant tolerant species.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.55 no.1
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• pp.39-49
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• 2019

Acoustics are increasingly regarded as a remote-sensing tool that provides the basis for classifying and mapping ocean resources including seabed classification. It has long been understood that details about the character of the seabed (roughness, sediment type, grain-size distribution, porosity, and material density) are embedded in the acoustical echoes from the seabed. This study developed a sophisticated yet easy-to-use technique to discriminate seabed characteristics using a split beam echosounder. Acoustic survey was conducted in Tongyeong waters, South Korea in June 2018, and the verification of acoustic seabed classification was made by the Van Veen grab sampler. The acoustic scattering signals extracted the seabed hardness and roughness components as well as various seabed features. The seabed features were selected using the principal component analysis, and the seabed classification was performed by the K-means clustering. As a result, three seabed types such as sand, mud, and shell were discriminated. This preliminary study presented feasible application of a sounder to classify the seabed substrates. It can be further developed for characterizing marine habitats on a variety of spatial scales and studying the ecological characteristic of fishes near the habitats.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.411-411
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• 2016

본 연구에서는 유역 특성 인자와 지점 유량-유사량 관계식의 상관성 분석을 하였다. 대상 지점은 군남, 청미(이상 한강 유역), 향석, 동문, 선산, 동촌, 개진2(이상 낙동강 유역), 회덕, 합강(이상 금강 유역), 선암, 남평(이상 영산강 유역)을 선정하였다. 대상 지점의 상류에 댐이 있을 경우 유량-유사량 관계식이 왜곡될 가능성이 있기 때문에 이상 지점은 상류에 댐이 없는 곳으로 선정되었다. 이들 지점을 출구로 하는 유역을 정의하고 각 유역의 형상계수, 수면 폭, 단면적, 하천 총 길이 등을 조사하여 유량-유사량 관계식과 비교하였다. 분석 결과 수면 폭, 단면적, 하천 총 길이가 증가할수록 관계식의 계수는 감소하는 경향을 나타냈고 지수는 증가하는 형태를 나타내는 것을 알 수 있었다. 한편, 형상계수는 뚜렷한 상관관계를 나타내지 않았다. 유량-유사량의 경향성을 파악하기 위해 기존의 측정성과와 비교 분석하고자 하였다. 비교 분석한 결과 대부분 유사한 특성과 경향성을 나타내었으나 일부 다른 특성을 보인 지점도 존재하였다. 본 연구는 특정 지점의 유량-유사량 관계가 유역의 지형 특성에 영향을 받는 다는 것을 시사하는 초기 연구로 향후 추가 연구를 통해 그 영향을 규명할 필요성을 보여준다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.506-515
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• 2020

Surfing is a sport sensitive to changes in the natural environment, using naturally occurring waves. In other words, factors such as the construction of coastal structures, coastal erosion, and sediment transportation could cause the wave to change into a direction inappropriate for surfing at the shore where surfable waves were reaching. In this study, we call the characteristics of the coastal environment that affect the formation of surfable waves as surfing resources, which is subsequently analyzed by coastal engineering methodologies. Also, using Delft3D-WAVE module (SWAN model), a way to evaluate sustainability of surfable wave is suggested through analysis of surfing resources at Jukdo, Yangyang, Gangwon Province, Republic of Korea.

• Journal of Species Research
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• v.10 no.3
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• pp.191-200
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• 2021

To study the biodiversity of bacterial species, here we report indigenous prokaryotic species of Korea. A total of 23 bacterial strains affiliated to the class Alphaproteobacteria were isolated from various environmental sources including seaweeds, seawater, fresh water, wetland/marsh, tidal sediment, plant roots, sewage and soil. Considering higher than 98.8% 16S rRNA gene sequence similarities and formation of a well-defined phylogenetic clade with named species, it was confirmed that each strain belonged to the predefined bacterial species of the class Alphaproteobacteria. There is no official report of these 23 species in Korea; 20 species of 16 genera (Mameliella, Yangia, Paracoccus, Ruegeria, Loktanella, Phaeobacter, Dinoroseobacter, Tropicimonas, Lutimaribacter, Litoreibacter, Sulfitobacter, Roseivivax, Labrenzia, Hyphomonas, Maricaulis, Thalassospira) in the order Rhodobacterales and 3 species of a single genus (Brevundimonas) in the order Caulobacterales. Gram-staining, cell morphology, basic biochemical characteristics, isolation sources, optimum temperature, growth media, and strain IDs are detailed in the species description as well as Table 1.

• Journal of Species Research
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• v.11 no.3
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• pp.143-154
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• 2022

To obtain unrecorded bacterial species in Korea, various marine samples were collected from Jeollanam-do Province, Korea in 2021. After plating the samples on marine agar and marine R2A agar, and incubating aerobically and anaerobically, approximately 1200 bacterial strains were isolated and identified using 16S rRNA gene sequences. A total of 30 strains showed ≥98.7% 16S rRNA gene sequence similarity with validly published bacterial species but not reported in Korea, indicating that they are unrecorded bacterial species in Korea. The unrecorded bacterial strains belonged to 4 phyla, 7 classes, 13 orders, 19 families, and 22 genera, which were assigned to Azospirllium, Loktanella, and Pseudovibrio of the class Alphaproteobacteria; Grimontia, Halomonas, Marinobacter, Microbulbifer, Photobacterium, Pseudoalteromonas, Pseudidiomarina, Ferrimonas, Shewanella, Simiduia, Thalassotalea, and Vibrio of the class Gammaproteobacteria; Priestia and Enterococcus of the class Bacilli; Persicobacter of the class Cytophagia; Aureivirga of the class Flavobacteriia; Propionigenium and Psychrilyobacter of the class Fusobacteriia; and Tepidibacter of the class Clostridia. The details of the unreported species including Gram reaction, colony and cell morphology, biochemical characteristics, and phylogenetic position are also provided in the description of the strains.

• Journal of Species Research
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• v.12 no.3
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• pp.212-223
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• 2023

A total of 30 bacterial strains were identified in the classes Betaproteobacteria and Gammaproteobacteria in the study of prokaryotic species in Korea. These strains were isolated from a variety of environmental sources, including soil, tidal flat, mud, wetland, pine cone, seaweed, sea sediment, and brackish water. Phylogenetic analysis showed that isolates were identified based on high 16S rRNA gene sequence similarities (≥98.7%) with the predefined bacterial type species. In this study, we present data on previously unreported species from Korea, including 10 species from three families of one order in the class Betaproteobacteria and 20 species from 12 families of nine order in the class Gammaproteobacteria. Morphological, biochemical characteristics, isolation sources, and NIBR deposit numbers are provided in the description sections.