• Title/Summary/Keyword: Lake classification

Search Result 54, Processing Time 0.021 seconds

Classification and Water Quality Management of Agricultural Reservoirs (농업용 저수지의 유형분류 및 수질관리)

  • 윤경섭;이광식;김형중;김호일
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.45 no.4
    • /
    • pp.66-77
    • /
    • 2003
  • Monitoring data from agricultural reservoirs throughout the country were analyzed to classify agricultural reservoirs according to physical characteristics and COD concentrations, and evaluate the relationships bet-ween water quality items. The physical and chemical data of total 498 reservoirs were analyzed from 1990 to 2001. Average COD, TP, TN, Chl-a, SS concentrations for the reservoirs and pollutant loadings from their watersheds were used for the analysis. It was possible that reservoirs were classified to 4 types using the relationships between the ratios of effective storage per water surface (ST/WS ratio) and COD concentrations. It is recommended that the improvement measures of polluted reservoirs should be performed as following order : integrated consolidation type (complex mechanism type) $\rightarrow$ watershed consolidation type $\rightarrow$ integrated consolidation type (external mechanism type) $\rightarrow$ in-lake consolidation type $\rightarrow$ conservation type and the depth (ST/WS ratio) of reservoir maintained over 5~6 m for water quality improvement. The decision coefficients ($r^2$) between Chl-a and other items (COD, T-P, SS, T-N) were 0.6915, 0.6732, 0.5327, 0.3352, respectively. Therefore, reservoir managers could evaluate the trophic state of reservoirs by COD concentrations.

The Study of Physiographic province in Korea (한국지형구(韓國地形區))

  • Park, No-Sik
    • Journal of the Speleological Society of Korea
    • /
    • no.68
    • /
    • pp.75-98
    • /
    • 2005
  • Korea physiographic province is divided into two provinces which is northern Chugaryung graben zone and southern Chugraryung graben zone. Northern Chugraryung is also divided in to Gema block and Kohan block, and southern Chugraryung dividedinto Han block, Yongnam basin and Honam plain. The above mentioned macro geomorophic units is divided, mainly on the geotectonics. The meso geomorphic units is divided, based upon the regional distribution of topographic characteristic that is plateaus, mountains, mountain range, basins and great plain etc. Micro geomorphic units id into a mountain, a hill, a plain, and a lowland, and then it is formed by selfreliant topographic unit. And micro topographic (fan, peneplain, delta, etc) dealt with a characteristics unit. In this article has a disregarded amallest scale that is included flood plait natural levee, back marsh and oxbow lake etc. Accordingly, it shows macro units are meso units are 5, meso units are 53, micro units are 299. A study method of physiographic provincs prefered to aufsteigende and abstergands methoy. How to organically combine topographic factors can be seen in regional distribution of the peculiar topographic characteristics, for charage teristic of topographic makes a study on the topographic of micro unit such understanding as aufsteigende method. At the same time, since it can be studied systematically from marco unit to micro unit like the absteigende methods, I used both methods. And this establishment of physiographic province based on the scientific method depend on the base map of climate classification. Geology, Soil, Biology. I feel confident that it will be used the basic map for land use map, land classification map, study of geomorphology of Korea. And will be used for study of a topographic standard data.

Developmemt of a natural Food Colorant, Cochineal Extract, and its Safety (천연색소 코치닐(Cochineal)의 개발과 안전성)

  • 양동수;김일환
    • Proceedings of the Korean Society of Food Hygiene and Safety Conference
    • /
    • 1994.06a
    • /
    • pp.41-49
    • /
    • 1994
  • The meanings, classification, and regulatory status of 'natural food colorants' are discussed. Nowadays the technological advances for processing Cochineal color is flourishing here and aboard, makes highly concentrated products (e.g., 95% Carminic acid) is comercially available. Application of carminic acid for a food system needs target-specific formulation, mixing with alumn, tartaric acid, and other salts to stabilize the color hue in food system. On the other hand, carmine, the aluminium-lake of carminic acid, is more convenient product to be used and would give more strong color. Of these reasons Carmine is much popular product than Cochineal extract in Western and European countries. We insist that carmine should be also certified as natural colorant together with Cochineal extract in Korea. Authors expect that several kinds of anthraquinone colorant (Lac and Kermes) would be introduced in Korean market in near furture.

  • PDF

Multiple Regression Analysis to Determine the Reservoir Classification in the Empirical Area-Reduction Method (경험적 면적감소법을 위한 저수지 분류에 관한 연구)

  • 권오훈
    • Water for future
    • /
    • v.10 no.1
    • /
    • pp.95-100
    • /
    • 1977
  • The empirical area-reduction method by W.M. Borland and C.R. Miller and its revised procedure by W.T. Moody were made of fitting the area and storage curves to the Van't Hul distributions. It should be noted that the reservoir is classified into one of the four standard types on the basis of the topographical feature of the reservoir in application of the method. In other words, this method did not take into account several considerafble factors affecting the mode of sediment deposition, but only the shape of the reservoir as a governign factor. This is why the method occasionally creates ambiguity in classification and accordingly leads to unexpected mode of deposition. This paper describes a generating an formula to decide the standard classification of four types Van's Hul distributions, taking into consideration quantitatively sediment-loss percent and capacity-inflow ratio as well as the shape of the reservoirs by multiple regression analysis using the least square method to get a better fit to the design curves. The result is expressed as $Y=-1.95+55.8X_1+0.14X_2+0.12X_3$ in which the the values of Y locate the standard type I through type IV in the range from ten to forty with the interval of ten. The regression analysis was correlated well with the standard errors of estimate of around two except for the case of the type IV. This formula does not give big difference from the Borland's work in general sityation, but it demonstrates acceptable results, giving somewhat precise replys for the specific reservoirs. Its application to the Soyang Lake, one of the largest reservoirs in the country, defined clearly the type II, while the original method located it in the boundary of the type II and type III.

  • PDF

A Study on Establishing Forest Landscape Management Plan (산림경관계획 수립방안에 관한 연구)

  • Park, Chan-Woo;Jeong, Mi-Ae;Lee, Yeon-Hee
    • Journal of Korean Society of Forest Science
    • /
    • v.104 no.2
    • /
    • pp.300-308
    • /
    • 2015
  • Landscape planning system established in 2007. It is necessary that forest landscape management will be established based on the long-term and wide scope plan for forest management. This study suggested the considering factor while the establishing forest landscape plan for forest characteristics. Forest landscape type was consisted of 4 medium classification(geographical resources, waterscape, forest resources, cultural resources) and 12 small classification(geographical resources: panorama of ridge, ridge of curious rock peaks, waterscape: waterfall, valley, lake, forest resources: crown layer scenery, royal azaleas of main ridge, autumnal tints of ridge slope, flowers in herbaceous plants, inside of forest, forest trail scenery, cultural resources: facilities). This study suggested that consideration on 6 functions of forest in landscape zone planning and forest landscape management plan each classification (main ridge, sense of season, waterscape, rock resources).

Soil Erosion Assessment Using RS/GIS for Watershed Management in Dukchun River Basin, a Tributary of Namgang and Jinyang Lake

  • Cho Byung Jin;Yu Chan
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.46 no.7
    • /
    • pp.3-12
    • /
    • 2004
  • The need to predict the rate of soil erosion, both under existing conditions and those expected to occur following soil conservation practice, has been led to the development of various models. In this study Morgan model especially developed for field-sized areas on hill slopes was applied to assess the rate of soil erosion using RS/GIS environment in the Dukchun river basin, one of two tributaries flowing into Jinyang lake. In order to run the model, land cover mapping was made by the supervised classification method with Landsat TM satellite image data, the digital soil map was generated from scanning and screen digitizing from the hard copy of soil maps, digital elevation map (DEM) in order to generate the slope map was made by the digital map (DM) produced by National Geographic Information Institute (NGII). Almost all model parameters were generated to the multiple raster data layers, and the map calculation was made by the raster based GIS software, IL WIS which was developed by ITC, the Netherlands. Model results show that the annual soil loss rates are 5.2, 18.4, 30.3, 58.2 and 60.2 ton/ha/year in forest, paddy fields, built-up area, bare soil, and upland fields respectively. The estimated rates seemed to be high under the normal climatic conditions because of exaggerated land slopes due to DEM generation using 100 m contour interval. However, the results were worthwhile to estimate soil loss in hilly areas and the more precise result could be expected when the more accurate slope data is available.

Geomorphic Processes of the Terraces at Lower Reach of Yeongpyeong River in Chugaryeong Rift Valley, Central Korea (추가령 열곡 영평천 하류 단구지형의 형성과정)

  • Lee, Min-Boo;Lee, Gwang-Ryul;Kim, Nam-Shin
    • Journal of the Korean Geographical Society
    • /
    • v.40 no.6 s.111
    • /
    • pp.716-729
    • /
    • 2005
  • In the Yeongpyeong River, one of the branches of Hantan River, there 4 fluvial terraces are identified. During the Quaternary, lava flow from Hantan River had gone 4.5km into upstream Part of the Yeongpyeong River and damed its entrance, and resultantly its lower basin had become a lava-damed paleolake. This study deals with fluvial terrace surface classification, stratigraphic analysis, deposits analysis, and OSL age dating in from Gungpyeongri to Seongdongri in lower reach of Yeongpyeong River, in order to identify Seomorphological Process of the terrace landforms relating to duration of lava-damed paleolake. Terrace surface T4, named Baekeuiri Formation, has been located under Jeongok lava layer to indicate pre-lava river bed. Terrace surfaces T3 and T2 are supposed to be formed during paleolake time, based on $3{\~}4m$ thick sand deposits including pebble and cobble layers, and clay and silt layers intersected with sand ones in nearly horizontal bedding. Terrace T1 is estimated to be formed as post-lake fluvial terrace after dissection of lava dam, based on the more fresh phase of deposits and very low height from present riverbed. The results of the OSL age dating for the T3 deposit layers indicate approximately $33{\~}40ka$, and still lake phase at that time.

Regional Variation and Discharge Characteristics of Stream Water Quality and Heavy Metals Around the Shihwa Lake Basin (시화호 유역 하천수 일반수질 및 중금속의 변화 및 유출 특성 연구)

  • Jeong, Hyeryeong;Kim, Kyung-Tae;Kim, Eun-Soo;Lee, Seung-Yong;Ra, Kongtae
    • Journal of the Korean Society for Marine Environment & Energy
    • /
    • v.20 no.2
    • /
    • pp.76-83
    • /
    • 2017
  • In order to investigate the characteristics of water quality and heavy metals in Shihwa Lake, concentration comparisons according to land use types and mass discharge through streams were carried out. Based on classification for streams according to land use types, the concentration of DO, SS, POC, $NO_3$ and Chl-a showed higher concentrations in agricultural areas than in industrial and urban areas. However, COD, DIN, DIP, TN, TP, DOC, TOC and heavy metal concentrations showed relatively high values in industrial areas. The concentrations of water qualities and heavy metals were relatively high in March to May and the concentration decreased in summer seasons (July-August). The averages of stream discharges of water qualities were 1,172 kg/d for SS, 151 kg/d for TN, 11.1 kg/d for TP and 389 kg/d for TOC, respectively. The agricultural area, Jangjunbo(S8), accounted for 47.5%(TP)~75.1%(SS) in the total stream discharges. Cu, Zn and Cd in stream waters were found to be more than 92% of the total discharges in industrial area, showing descending order of Zn>Cu>Ni>Pb>Co>Cd.

Analysis of Paleo Sedimentary Environment of Gochang Coast Using Grain Size Distribution Characteristics (입도분포 특성을 기반으로 한 고창 연안의 과거 퇴적환경 분석)

  • Han, Min;Yang, Dong-Yoon;Park, Chanhyeok
    • Journal of The Geomorphological Association of Korea
    • /
    • v.25 no.3
    • /
    • pp.43-55
    • /
    • 2018
  • This study aimed to identify different sedimentary environments of Gochang coast according to geomorphic conditions of each bore hole. To achieve the aim, this study utilized the classification of sedimentary environmental conditions of surface sediment, which was based on grain size distribution characteristics.In other words, three sedimentary environmental conditions ofsandy flat + sand beach, coastal sand dune and weathered bedrock soil, which were distinguished based on grain size distribution characteristics of mean-sorting for surface sediments, were applied to the sediments of bore holes. Four sedimentary environments could be identified in Gochang coast. First, the lake sedimentary environment originated from terrestrial sediments seems to have been dominated by weathered bedrock soil that the surface flow has deposited in a coastal wetland or a boundary, which is affected by the sea. Second, the lake sedimentary environment that is little affected by coastal sand dunes is located at the center of a valley, which is connected to the land, and the dune slack of Saban-ri. The surface flow of weather bedrock soil is the main source of deposits. However, there seems to have been a temporary influence of the sea. Third, the lake sedimentary environment that is strongly affected by coastal sand dunes is located at the dune slack of Yeongjeong-ri. This environment shows traces of a change from a coastal sand dune into the dune slack. Finally, the coastalsand dune sedimentary environment, which wasinvestigated by boring the current coastal sand dune, shows a temporary influence of the land but seems to have maintained the overall stability. Consequently, this study demonstrated that the grain size distribution characteristics of the present surface sediments could be effectively applied to identify the sedimentary environments of the paleo bore hole sediments. In addition, the paleo change of sedimentary environment could also be identified in many places of Gochang coast. If the results of this study are combined with the age dating and geochemical analysis in future works, the paleo environmental change in Gochang coast will be restored more precisely.

WQI Class Prediction of Sihwa Lake Using Machine Learning-Based Models (기계학습 기반 모델을 활용한 시화호의 수질평가지수 등급 예측)

  • KIM, SOO BIN;LEE, JAE SEONG;KIM, KYUNG TAE
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
    • /
    • v.27 no.2
    • /
    • pp.71-86
    • /
    • 2022
  • The water quality index (WQI) has been widely used to evaluate marine water quality. The WQI in Korea is categorized into five classes by marine environmental standards. But, the WQI calculation on huge datasets is a very complex and time-consuming process. In this regard, the current study proposed machine learning (ML) based models to predict WQI class by using water quality datasets. Sihwa Lake, one of specially-managed coastal zone, was selected as a modeling site. In this study, adaptive boosting (AdaBoost) and tree-based pipeline optimization (TPOT) algorithms were used to train models and each model performance was evaluated by metrics (accuracy, precision, F1, and Log loss) on classification. Before training, the feature importance and sensitivity analysis were conducted to find out the best input combination for each algorithm. The results proved that the bottom dissolved oxygen (DOBot) was the most important variable affecting model performance. Conversely, surface dissolved inorganic nitrogen (DINSur) and dissolved inorganic phosphorus (DIPSur) had weaker effects on the prediction of WQI class. In addition, the performance varied over features including stations, seasons, and WQI classes by comparing spatio-temporal and class sensitivities of each best model. In conclusion, the modeling results showed that the TPOT algorithm has better performance rather than the AdaBoost algorithm without considering feature selection. Moreover, the WQI class for unknown water quality datasets could be surely predicted using the TPOT model trained with satisfactory training datasets.