• Title/Summary/Keyword: MUJU NAMDAE STREAM

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Comparison of Fish Distribution Characteristics by Substrate Structure in the 4 Streams (하상구조에 따른 4개 하천의 어류 분포 특성 비교)

  • Yoon, Seok-Jin;Choi, Jun-Kil;Lee, Hwang-Goo
    • Korean Journal of Environment and Ecology
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    • v.28 no.3
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    • pp.302-313
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    • 2014
  • This study was conducted to compare the characteristics of fish distribution according to sand type stream and cobble type stream the 4 stream selected every season. The collected Korea endemic species during the survey period were 24, including Acheilognathus gracilis. Dominant species of Hongcheon stream and Muju Namdae stream was Zacco koreanus, each accounting for 39.9% and 28.4% in order, and dominant species in Yanghwa stream was Rhodeus notatus, 13.6%, and those in Gap stream was Z. platypus, by 26.0%. As a result of community analysis, dominant index was 0.27~0.63, diversity index was 1.92~2.67, evenness index was 0.6~0.79, richness index was 3.09~3.53, and dominant index was the highest in Hongcheon stream, and the indices of diversity, evenness and richness were the highest in Yanghwa stream. As a result of tolerance guild analysis, Hongcheon stream and Muju Namdae stream with a variety of substrates accounted for relatively higher rate by 50.1% and 46.4% in sensitive species respectively, and Yanghwa stream and Gap stream with greater sand substrates had 0.5% and 5.3% scarce rate of sensitive species. As a result of similarity analysis using the species, population and substrate structures of the fisheries appeared in each stream, cobble type streams such as Hongcheon stream and Muju Namdae stream were the most similar by 50.4% in species and population, 95.2% in bed structure. As a result of IBI analysis, Hongcheon stream and Muju Namdae stream appeared as 'Class A,' Yanhwa stream and Gap stream as 'Class B' and the two groups of cobble type stream and sand type stream were divided as a result of principal components analysis.

Nine Polypedilum Species (Diptera, Chironomidae) New to Korea Collected Near Namdae-stream, Muju

  • Ree, Han-Il;Jeong, Kyoung-Yong;Nam, Sung-Hyun;Yong, Tai-Soon
    • Animal Systematics, Evolution and Diversity
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    • v.26 no.3
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    • pp.203-216
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    • 2010
  • Adult chironomids were collected at Dangsan-ri, Muju-eup, Muju-gun, Jeollabuk-do on 5 September 2008, 22 May 2009 and 28 August 2009. A total of 221 specimens belong to the genus Polypedilum Kieffer from 1,113 adult midges collected were morphologically examined, and 16 Polypedilum species were identified. One species is new (Polypedilum dangsanensis Ree et Jeong sp. nov.) and eight species are newly recorded in Korea (P. asakawasense, P. convictum, P. decematogutatus, P. japonicum, P. kamotertium, P. pullum, P. serugense, and P. unifascium). These nine species are described with illustrations. Polypedilum nubifer was the most frequently collected species, consisting of 25.8% of the Polypedilum samples.

Six New and Four Unrecorded Species of Tanytarsini (Diptera, Chironomidae, Chironominae) Found in Korea

  • Ree, Han-Il;Jeong, Kyoung-Yong;Nam, Sung-Hyun
    • Animal Systematics, Evolution and Diversity
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    • v.27 no.3
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    • pp.246-261
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    • 2011
  • Adult chironomid collections were carried out near Namdae stream located at Jeollabuk-do, Muju-gun, Mujueup, Dangsan-ri in 2008 and 2009. Among 21 species of the tribe Tanytarsini identified from Muju collections, six new species (Cladotanytarsus neovanderwulpi, Paratanytarsus paramikesecumdus, Rheotanytarsus parapentapodus, Rheotanytarsus sungili, Tanytarsus neotamaoctavus, and Tanytarsus synyunosecundus) and four previously unrecorded species (Cladotanytarsus vanderwulpi, Paratanytarsus inopertus, Tanytarsus tamagotoi, and Tanytarsus uresiacutus) were confirmed. They are fully described with illustrations. As a result of this report, the Korean fauna of Tanytarsini consists of 37 species, 6 genera. In total, 128 species, 52 genera, 5 subfamilies of the family Chironomidae are listed in Korea.

Loads of Nitrogen and Phosphorus from the Agricultural Watershed in Central Korea

  • Cho, Jae-Young;Han, Kang-Wan;Choi, Jin-Kyu
    • Journal of Applied Biological Chemistry
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    • v.43 no.4
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    • pp.254-257
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    • 2000
  • Water quality monitoring network was established at the agricultural watershed located at the Namdae-chon watershed of Seolchon-myon, Muju-gun, Chollabuk-do, Korea which is 22,560 ha in size. Based on total amount of stream flow loads of nitrogen and phosphorus from the agricultural watershed were estimated. About 4.48 (1,011 ha), 7.02 (1,585 ha), and 86.82% (19,609 ha) of the site were used for paddy fields, upland fields, and forests, respectively. During the period of 6 months from May 1 to October 31, 1999, the total amounts of precipitation and stream flow were 993.2 mm and $148,533,000m^3$ respectively. The loads of agricultural non-point sources accrued by land use were 83,526 kg, 24,508 kg, 49,705 kg, and 215 kg for total-N, ammonia-N, nitrate-N, and total-P, respectively. Results showed that 23.4 and 0.1 % of the applied nitrogen and phosphorus fertilizers, respectively, were estimated to load into the streams as agricultural non-point sources.

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The Simulation of Flood Inundation of Namdae Stream with GIS-based FLUMEN model (GIS 기반 FLUMEN 모형을 이용한 남대천 홍수범람 모의실험)

  • Lee, Geun-Sang;Choi, Yun-Woong
    • Spatial Information Research
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    • v.18 no.2
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    • pp.25-34
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    • 2010
  • This study simulated flood inundation each frequency rainfall using GIS spatial information and FLUMEN model for part of Muju-Namdae Stream. To create geomorphology for the analysis of flood inundation, Triangle Irregular Network(TIN) was constructed using GIS spatial interpolation method based on digital topographic map and river profile data, unique data source to represent real topography of the river areas. And also flood inundation was operated according to the levee collapse to consider extremely flood damage scenarios. As the analysis of result, the inundation area in the left levee collapse showed more high as 3.13, 3.69, and 4.17 times comparing with one of right levee for 50, 100, and 200 year frequency rainfall and showed 1.00, 2.15, and 3.34 times comparing with one of right levee in the inundation depth with over 1.0 meter, which can cause casualties. As the analysis of inundation area of the inundation depth with over 1.0 meter, which can cause casualties in left levee collapse, it increased more high as 263% and 473% when 50 year frequency change into 100 and 200 year frequency. Also As the analysis of inundation area of the inundation depth with over 1.0 meter in right levee collapse, it increased high as 123% and 142% when 50 year frequency change into 100 and 200 year frequency. Especially, the inundation area of the inundation depth with 3.0~3.5m showed more high as 263% and 489% when 50 year frequency change into 100 and 200 year frequency. It is expected that flood inundation map of this paper could be important decision making data to establish land use planning and water treatment measures.

The Analysis of Flood Propagation Characteristics using Recursive Call Algorithm (재귀호출 알고리듬 기반의 홍수전파 특성 분석)

  • Lee, Geun Sang;Jang, Young Wun;Choi, Yun Woong
    • Spatial Information Research
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    • v.21 no.5
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    • pp.63-72
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    • 2013
  • This paper analyzed the flood propagation characteristics of each flood elevation due to failure of embankment in Muju Namdae Stream using recursive call algorithm. A flood propagation order by the flood elevation was estimated by setting destruction point at Beonggu and Chasan small dam through recursive call algorithm and then, the number of grids of each flood propagation order and accumulated inundation area were calculated. Based on the flood propagation order and the grid size of DEM, flood propagation time could be predicted each flood elevation. As a result, the study could identify the process of flood propagation through distribution characteristic of the flood propagation order obtained from recursive call algorithm, and could provide basic data for protection from flood disaster by selecting the flood vulnerable area through the gradient pattern of the graph for accumulated inundation area each flood propagation order. In addition, the prediction of the flood propagation time for each flood water level using this algorithm helped provide valuable information to calculate the evacuation path and time during the flood season by predicting the flood propagation time of each flood water level.