• Title/Summary/Keyword: Stream Classification

Search Result 170, Processing Time 0.023 seconds

Correlation between Biotic Factor and Abiotic Factor - Focus on the Case Streams in Kyonggi District - (하천에서의 무생물적 환경인자와 생물과의 상관성 - 경기지방의 하천사례를 중심으로 -)

  • Kim, Hyea-Ju;Kim, Song-Yee;Kim, Chang-Wan
    • Korean Journal of Environment and Ecology
    • /
    • v.20 no.4
    • /
    • pp.374-390
    • /
    • 2006
  • The analysis of correlation between the 9 element (used as the classification standard of stream typology out of the 25 elements pertinent to the survey of hydromorphological structure) and both emerged benthic macroinvertebrate as well as vegetation indicated that the substrate diversity, curvature, and degree of development of the transverse bar had a high correlation with the species composition. Only COD concentration was found to have the statistically significant correlation with the distribution of benthos among the 12 aquatic and chemical elements. Specifically, the analysis of the biotic and abiotic factors in this study indicated that there was a statistically significant correlation between the sand river and cobble river in the positive(+) and negative(-) aspects, suggesting that there is a distinctive difference between the two types of rivers in terms of hydromorphologlcal structure and ecological characteristics. Therefore, the findings of this study imply that the consideration of a biotop is prerequisite for the evaluation of stream status regarding stream restoration or the ecological topology of streams.

Optimization of Fractionation Conditions for Natural Organic Matter in Water by DAX-8 Resin and its Application to Environmental Samples (DAX-8 레진의 수중 자연유기물의 분획조건 최적화 및 환경시료에의 적용)

  • Lim, Hyebin;Hur, Jin;Kim, Joowon;Shin, Hyunsang
    • Journal of Korean Society on Water Environment
    • /
    • v.38 no.3
    • /
    • pp.133-142
    • /
    • 2022
  • Natural organic matter (NOM) is a heterogeneous mixture of organic matter with various polarities and molecular weights in an aquatic environment. This study investigated the effects of separation conditions (resin volume, organic matter, etc.) and the repeated use of the resin for the fractionation of organic components in the DAX resin fractionation method. The distribution characteristics of the organic components ((hydrophilic [Hi], hydrophobic acid [HoA], and hydrophobic neutral [HoN]) under the derived fractionation conditions were also analyzed. Constant fractionation results (i.e. HoA/Hi ratio) were obtained in the column capacity factor (i.e. the packed resin volume) in the range of 50 to 100. The resin-packed column maintained constant separation efficiency for up to two repeated uses. The above conditions were applied to wastewater and stream water samples (before and after rainfall). The results showed that the concentration of organic matter in the wastewater effluent was 2-15 times lower with an increased ratio of hydrophilicity to hydrophobicity (i.e. Ho/Hi) compared to the influent depending on the industrial wastewater classification. Particularly, HoN was found to have a high content distribution, 10.2-50.4% of the total dissolved organic matter (DOM), in the effluents. For the stream water, the content of Hi or HoN increased significantly after rainfall, suggesting a correlation with the distribution characteristics of pollutants from the stream watershed. The results provide useful data to enhance the reliability of the DAX resin fractionation and its application to environmental samples.

Melamine Concentration in Han River Basin and the in GAC Column Breakthrough Curve Model (한강수계 내 Melamine 농도검출과 GAC처리에서의 파과모델링)

  • Lee, Sang-Jung;Lee, Jai-Yeop;Han, Ihn-Sup
    • Journal of Korean Society of Environmental Engineers
    • /
    • v.33 no.10
    • /
    • pp.717-722
    • /
    • 2011
  • Currently, melamine is being used variously in our lives such as resins, flame retardants, adhesive, laminate etc. And understandably sewer of stream of wastewater containing Melamine has also increased. GHS (Globally Harmonized System of Classification and Labelling of Chemicals) of EU safety guidelines says that it can cause cancer. Still, study on toxicity of Melamine is going on. In this research, melamine contamination level of the Han River and River Basin was analyzed by HPLC/UV. And the experiments of GAC adsorption were conducted and the model was studied. We collected the 3 same samples at the suburbs of Paldang Dam located in the relative upstream in Han River and Ttukseom amusement park, the downstream region and collected samples equally at the Hongreung stream, Wangsuk stream, Cheonggye stream among streams flowing into Han River and then measured Melamine concentration after purification. As a result, melamine was not detected at the suburbs of Paldang Dam and it was detected at Ttukseom amusement park, the downstream of it, in the concentration of $0.312{\mu}g/L$. The Wangsuk stream with $0.578{\mu}g/L$ highest Cheonggye stream and Hongreung stream was detected with each $0.197{\mu}g/L$ and $0.325{\mu}g/L$. Although the concentration was low in general, melamine detection could be checked at most point. In 1970, the world capacity of Melamine was estimated at 200,000 ton, with current production estimated to be 1,400,000 ton. Melamine of Han River and rivers flowing into Han River is present at low concentration but pollution will increase in the future due to increase of use. Depending on the size of activated carbon in the experiment were slightly different. But the breakthrough model is almost identical.

Changes in Water Quality, Flora and Vegetation of Cheonggye Stream Before, During and After its Restoration (청계천 복원공사 전.중.후의 수질과 식물 및 식생의 변화)

  • Kim Hyea-Ju;Kim Sung-Hwan;Kim Song-Yee
    • Korean Journal of Environment and Ecology
    • /
    • v.20 no.2
    • /
    • pp.235-258
    • /
    • 2006
  • The monitoring of vegetation and water quality before(2003), during(2004) and after(2005) the restoration work of Cheonggye Stream indicated that $BOD_5$ concentration before the project averaged 51.1mg/L and that both the inflow of water from Hang River and the funnel of subway station water into the stream lowered the $BOD_5$ to 3.3mg/L, improving its water quality to the third grade. Species of plants slightly increased from 121 to 132 after the restoration. Specifically, perennial plant comprised 35.6%, an increase from 24.8% recorded before the restoration. Phragmites communis and Zoysia japonica communities were observed as the introduction vegetation. However, Humulus japonicus and Erigeron canadensis communities, which were classified into the first grade according to the vegetation conservation classification, were found to be still prevailing though they were dominant community before the restoration, meaning that the ecological condition of plants had not changed very significantly. An the other hand the water quality of the reference reach was classified into the first grade based on $BOD_5$, which implies the water quality of the section was better than the project reaches. Besides the section had more diverse plant species which numbered 154, and furthermore, the rate of immigrated plants comprised 13% which was lower than 28.8% recorded by the project sections. The project reaches are considered to be inferior to the reference section in terms of ecological condition. The effectiveness of the stream restoration cannot be determined only by such short-term investigation as was conducted in this study, and it is considered that the effectiveness of the restoration of Cheonggye Stream can be determined only if investigations in other major factors are conducted over the long-term period.

Reliability evaluations of time of concentration using artificial neural network model -focusing on Oncheoncheon basin- (인공신경망 모형을 이용한 도달시간의 신뢰성 평가 -온천천 유역을 대상으로-)

  • Yoon, Euihyeok;Park, Jongbin;Lee, Jaehyuk;Shin, Hyunsuk
    • Journal of Korea Water Resources Association
    • /
    • v.51 no.1
    • /
    • pp.71-80
    • /
    • 2018
  • For the stream management, time of concentration is one of the important factors. In particular, as the requirement about various application of the stream increased, accuracy assessment of concentration time in the stream as waterfront area is extremely important for securing evacuation at the flood. the past studies for the assessment of concentration time, however, were only performed on the single hydrological event in the complex basin of natural streams. The development of a assessment methods for the concentration time on the complex hydrological event in a single watershed of urban streams is insufficient. Therefore, we estimated the concentration time using the rainfall- runoff data for the past 10 years (2006~2015) for the Oncheon stream, the representative stream of the Busan, where frequent flood were taken place by heavy rains, in addition, reviewed the reliability using artificial neural network method based on Matlab. We classified a total of 254 rainfalls events based on over unrained 12 hours. Based on the classification, we estimated 6 parameters (total precipitation, total runoff, peak precipitation/ total precipitation, lag time, time of concentration) to utilize for the training and validation of artificial neural network model. Consequently, correlation of the parameter, which was utilized for the training and the input parameter for the predict and verification were 0.807 and 0.728, respectively. Based on the results, we predict that it can be utilized to estimate concentration time and analyze reliability of urban stream.

Artificial Intelligence-based Echocardiogram Video Classification by Aggregating Dynamic Information

  • Ye, Zi;Kumar, Yogan J.;Sing, Goh O.;Song, Fengyan;Ni, Xianda;Wang, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.2
    • /
    • pp.500-521
    • /
    • 2021
  • Echocardiography, an ultrasound scan of the heart, is regarded as the primary physiological test for heart disease diagnoses. How an echocardiogram is interpreted also relies intensively on the determination of the view. Some of such views are identified as standard views because of the presentation and ease of the evaluations of the major cardiac structures of them. However, finding valid cardiac views has traditionally been time-consuming, and a laborious process because medical imaging is interpreted manually by the specialist. Therefore, this study aims to speed up the diagnosis process and reduce diagnostic error by providing an automated identification of standard cardiac views based on deep learning technology. More importantly, based on a brand-new echocardiogram dataset of the Asian race, our research considers and assesses some new neural network architectures driven by action recognition in video. Finally, the research concludes and verifies that these methods aggregating dynamic information will receive a stronger classification effect.

Malaria Epidemic Prediction Model by Using Twitter Data and Precipitation Volume in Nigeria

  • Nduwayezu, Maurice;Satyabrata, Aicha;Han, Suk Young;Kim, Jung Eon;Kim, Hoon;Park, Junseok;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
    • /
    • v.22 no.5
    • /
    • pp.588-600
    • /
    • 2019
  • Each year Malaria affects over 200 million people worldwide. Particularly, African continent is highly hit by this disease. According to many researches, this continent is ideal for Anopheles mosquitoes which transmit Malaria parasites to thrive. Rainfall volume is one of the major factor favoring the development of these Anopheles in the tropical Sub-Sahara Africa (SSA). However, the surveillance, monitoring and reporting of this epidemic is still poor and bureaucratic only. In our paper, we proposed a method to fast monitor and report Malaria instances by using Social Network Systems (SNS) and precipitation volume in Nigeria. We used Twitter search Application Programming Interface (API) to live-stream Twitter messages mentioning Malaria, preprocessed those Tweets and classified them into Malaria cases in Nigeria by using Support Vector Machine (SVM) classification algorithm and compared those Malaria cases with average precipitation volume. The comparison yielded a correlation of 0.75 between Malaria cases recorded by using Twitter and average precipitations in Nigeria. To ensure the certainty of our classification algorithm, we used an oversampling technique and eliminated the imbalance in our training Tweets.

Drainage Analysis for the Anyang-cheon Upper-watershed Management Planning (유역관리계획수립(流域管理計劃樹立)에 관(關)한 기초적(基礎的) 연구(硏究))

  • Woo, Bo Myeong
    • Journal of Korean Society of Forest Science
    • /
    • v.42 no.1
    • /
    • pp.39-54
    • /
    • 1979
  • Such stream characteristics as the numbers, lengths, orders of stream channels, and drainage density are the essential elements for the analysis of drainages in planning of watershed management in a drainage basin. The drainage net is the pattern of tributaries and master streams in a drainage basin as declineated on a planimetric map. Stream order is a measure of the position of a stream in the hierarchy of tributaries. Density of the drainage is given by the quotient of the cumulative length of stream and the total drainage area. Drainage density then is simply a length per unit of area. In this study, the Anyang-cheon upper-watershed is selected for the survey and analysis of the stream system and drainage density in view point of the useful collection of data for effective watershed management planning. The Anyang-cheon upper-watershed is consisted of about 12,600 hectars of drainage area including the 13 Sub-stream. Total length of the Stream (as described in the Stream Law) in the survey area is measured as much as 71.2km, and that of the Small-stream as descrived in the Saemaul Stream Survey Book (1972) is calculated as 43,010 meters. Besides of this lengths, measured about 43,410 meters of the Small-stream and about 71,900 meters of the Torrential valley through this study. The range of the drainage density among the 13 Sub-streams having sub-watershed is analysed as from 14.79 to 24.10, and average value of drainage density in the entire watershed is calculated as 18.21 in case of including the length of the Torrential valley and 12.50 in case of excluding the same. It is required that the standard classification system in classifing for the characteristics of identification among the Stream, Sub-stream, Small-stream, Torrent, and Torrential valley must be satisfied through joint study of the authorities concerned.

  • PDF

The Classification of Instream Habtats for Ecological River Restoration (생태하천복원을 위한 하도 생물서식처 유형 구분)

  • Ahn, Hong Kyu;Lee, Dong Jun;Kim, Si Nae
    • Ecology and Resilient Infrastructure
    • /
    • v.1 no.2
    • /
    • pp.82-93
    • /
    • 2014
  • In recent years, "ecological river restoration" taking into account the flood control, water utilization and environmental aspects of rivers is actively being investigated. However, it is hard to understand the inhabitation conditions of living organisms that live on the river with distinct characteristics have been fully reflected, and with the use of limited methods, it ends in uniformed composition of artificial rivers and a mere customary stream channel maintenance, resulting in frequently disturbed stream channel habitats As a fundamental study for investigating the habitats of living organisms that live on rivers, this study intends to examine each habitat type by dividing domestic rivers into sand rivers and gravel rivers depending on the nature of rivers and dividing sections of each river into central river sections and natural river sections. As a result, more diverse habitat types of organisms were found in the gravel rivers rather than in the sand rivers, and the habitat types of organisms in the central river sections where the river restoration project have been already conducted reached approximately 56.3 % of those that appeared in the natural river sections.

Automatic Video Genre Classification Method in MPEG compressed domain (MPEG 부호화 영역에서 Video Genre 자동 분류 방법)

  • Kim, Tae-Hee;Lee, Woong-Hee;Jeong, Dong-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.27 no.8A
    • /
    • pp.836-845
    • /
    • 2002
  • Video summary is one of the tools which can provide the fast and effective browsing for a lengthy video. Video summary consists of many key-frames that could be defined differently depending on the video genre it belongs to. Consequently, the video summary constructed by the uniform manner might lead into inadequate result. Therefore, identifying the video genre is the important first step in generating the meaningful video summary. We propose a new method that can classify the genre of the video data in MPEC compressed bit-stream domain. Since the proposed method operates directly on the compressed bit-stream without decoding the frame, it has merits such as simple calculation and short processing time. In the proposed method, only the visual information is utilized through the spatial-temporal analysis to classify the video genre. Experiments are done for 6 genres of video: Cartoon, commercial, Music Video, News, Sports, and Talk Show. Experimental result shows more than 90% of accuracy in genre classification for the well -structured video data such as Talk Show and Sports.