• Title/Summary/Keyword: 주암호

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Analysis and Prediction for TOC Data in the Juam-lake Using Wavelet Theory (웨이블렛 이론을 이용한 주암호 자료의 분석 TOC 및 예측)

  • Oh, Chang-Ryol;Jin, Young-Hoon;Gwak, Pil-Jeong;Park, Sung-Chun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1037-1041
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    • 2006
  • 본 연구에서는 수질자료에 내재되어 있는 주기성 및 경향성 등을 파악하기 위해 웨이블렛 변환을 적용하였으며 비선형 시계열자료에 대한 예측력이 우수한 인공신경망을 적용하여 예측모형을 개발하였다. 대상자료는 섬진강 유역의 주암호 수질자동측정망 지점에서 측정되고 있는 수질자료 중 2002년 1월 1일 ${\sim}$ 2004년 12월 31일까지의 일 TOC 수질자료를 이용하였다. 웨이블렛 변환을 위해 사용한 기저함수로는 Daubechies의 10번 웨이블렛 함수('db10')를 사용하였으며, 각 스케일링 및 웨이블렛 함수를 이용하여 5단계까지 변환하였다. 최종 변환된 근사성분과 D5, D4, D3, D2의 상세성분 자료를 이용하여 1시간후 TOC 예측 모형을 구성하였으며 그 결과 은닉층의 노드의 수가 17개인 모형인 Model_5_17 모형이 가장 우수한 예측력을 보였다.

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주암호의 계절별 용존가스상 수은의 변화 및 특성

  • Park, Jong-Seong;O, Se-Hui;Sin, Mi-Yeon;Lee, Seung-Muk;Jo, Gyeong-Deok
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2005.11a
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    • pp.138-142
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    • 2005
  • DGM은 상온에서 휘발성을 가지는 수은의 독특한 화학적 성질 때문에 쉽게 대기로 방출될 수 있고, 대기 중으로의 DGM 방출은 수체 내 수은의 유일한 제거 기작일 뿐만 아니라, 고정상으로 존재하던 수은이 다시 이동상의 수은으로 변화하는 중요한 과정이다. 본 연구는 2005년 8월과 10월에 주암호를 대상으로 실시간 자동분석 장치(Tekran 2537A)를 이용하여 DGM 농도변화를 관찰하였다. 전반적인 주암호(n=23)의 여름철 평균 BGM 농도는 110 ${\pm}$ 21 pg $L^{-1}$으로 기존에 발표된 국외 호수에서의 DGM 농도보다 약 3배정도 높았다. 강우에 따른(강우량 : 0.4 mm) DGM 농도 변화는 비가오기 전 89 pg $L^{-1}$ 에서 비온 뒤 89 pg $L^{-1}$ 으로 약 9%가 증가했다. 그러나 가을철 평균 DGM 농도(n=21)는 20 ${\pm}$ 0.4pg $L^{-1}$ 로 여름철보다 약 5.5배 감소했고, 비가 내리는 날씨에서의 DGM 농도는 13.7 pg $L^{-1}$ 로 맑은 날 같은 시간에 비해(32 pg $L^{-1}$) 약 58% 감소했다.

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Water Quality Management Strategies Evaluation of Juam Lake by A Fuzzy Decision-Making Method (퍼지 의사결정법에 의한 주암호 수질관리 전략 평가)

  • Lee, Yong Woon;Hwang, Yun Ae;Lee, Sung Woo;Lee, Byong Hi;Choi, Jung Wook
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.4
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    • pp.699-712
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    • 2000
  • Juam lake is a major water resource for the industrial and agricultural activities as well as the resident life of Kwangju and Chonnam regions. However, the water quality of the lake is getting worse due to a large quantity of pollutant inflowing to the lake. Thus, the strategy for achieving the water quality goal of the lake should be developed as soon as possible. When there are various alternatives that can be used as the strategy, several criteria based on the achievement degree of water quality goal, the applicability of technique and social environment, and the reasonableness of the cost required are made to evaluate and rank the alternatives. However, it is difficult to make a decision when there are multiple criteria and conflicting objectives and specifically the estimated values of criteria contain elements of uncertainty. The uncertainty stems from the lack of available information, the randomness of future situation, and the incomplete knowledge of expert. As the degree of uncertainty is higher, the decision becomes more difficult. In this study, a fuzzy decision-making method is presented to assist decision makers in evaluating various alternatives under uncertainty. The method allows decision makers to characterize the associated uncertainty by applying fuzzy theory and incorporate the uncertainty directly into the decision making process for selecting the "best" alternative so decisions can be made that are more appropriate and realistic than those made without taking uncertainty in account.

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The Limnological Survey of Major Lakes in Korea (4): Lake Juam (국내 주요 호수의 육수학적 조사(4) : 주암호)

  • Kim, Bom-Chul;Heo, Woo-Myung;Lim, Byung-Jin;Hwang, Gil-Son;Choi, Kwang-Soon;Choi, Jong-Soo;Park, Ju-Hyun
    • Korean Journal of Ecology and Environment
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    • v.34 no.1 s.93
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    • pp.30-44
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    • 2001
  • In this study limnological characteristics of Lake Juam was surveyed from June 1993 to May 1994 in order to provides important information regarding water resources. Secchi disc transparency, epilimnetic chlorophyll a (chi-a), total nitrogen (TN), total phosphorus (TP) concentration and primary productivity were in the range of $2.0{\sim}4.5\;m$, $0.9{\sim}13.6\;mgChl/m^3$, 0.78$\{sim}$2.32 mgN/l, $11{\sim}56\;mgP/m^3$, $270{\sim}2.160\;mgCm^{-2}\;day^{-1}$, respectively. On the basis of TP, Chl-a and Secchi disc depth, the trophic state of Lake Juam can be classied as mesotrophic lake. The phosphorus inputs from non-point sources are concentrated in heavy rain episodes during the monsoon season. As a result, phosphorus concentration are higher in summer than in winter. TP loading from the watershed were estimated to be $0.9\;gPm^{-2}yr^{-1}$, which correspond to a boundary of the critical loading ($1.0\;gPm^{-2}yr^{-1}$) for eutrophication. From the results of the algal assay, both phosphous and nitrogen act as limiting nutrients in algal growth. The seasonal succession of phytoplankton community structure in Lake Juam was similar to that observed in other temperate lakes. Diatoms (Asterionella formosa and Aulacoseira granulate var. angustissima)fujacofeira BraHuJafa uar. aHgusHrsiaia) weredominant in spring and winter, cyanobacteria) were dominant in warm season. The organic carbon, nitrogen and phosphorus content of lake sediment were $9.5{\sim}14.0\;mgC/g$, $1.01{\sim}1.82\;mgN/g$ and $0.51{\sim}0.65\;mgP/g$, respectively. The allochthonous organic carbon loading from the watershed and autochthonous organic carbon loading by primary production of phytoplankton were determined to be 1,122 tC/yr and 6,718 tC/yr, respectively. To prevent eutrophication of Lake Juam, nutrient management of watershed should be focus on reduction of fertilizer application, proper treatment of manure, and conservation of topsoil as well as point source.

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