• Title/Summary/Keyword: 수질 간 상관관계

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Analysis of Relationships Among the Pollutant Concentrations in Non-urban Area (비도시 유역에서 수질오염물질 사이의 상관관계 분석)

  • Jeon, Ji-Hong;Ham, Jong-Hwa;Yoon, Chun-Gyeong
    • Korean Journal of Ecology and Environment
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    • v.34 no.3 s.95
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    • pp.215-222
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    • 2001
  • A statistical analysis was performed to evaluate relationships among the pollutant concentrations in non-urban area. The data obtained from two subcatchments in Hwa-Ong watershed during 1999 was used for correlation and regression analyses. Strong correlations were observed among the SS, COD, and TP, while it was not significant with TN. The reason fer weak correlation with TN might be that TN was high in dry-days and runoff in wet-days could not increase enough to change it substantially like in other pollutants. The correlations were stronger for the data in wet-days than in dry-days, and it was influenced by watershed characteristics. While TP-COD showed linear relationship from the regression analysis, SS-TP and SS-COD shelved intrinsically linear relationship between log-transformed TP and COD data and non-transformed SS data. The TP-COD showed strong relationship for all the combinations of monitored data, which implies that these two constituent concentrations varied in a similar pattern. The regression equations reported in the paper might be used to estimate one pollutant concentration from the other in pollutant loading estimates, and its application could be expanded to other non-urban watersheds if their characteristics are not significantly different from the study area. In water quality management projects, rigorous monitoring and its thorough evaluation are recommended to develop more reliable relationships among the pollutant concentrations which could be used in other area.

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Flow Rate·Water Quality Characteristics of Tributaries and a Grouping Method for Tributary Management in Nakdong River (낙동강 지류·지천의 유량·수질 특성 및 하천관리를 위한 등급화 방안 연구)

  • Na, Seungmin;Lim, Tae Hyen;Lee, Jae Yun;Kwon, Heongak;Cheon, Se Uk
    • Journal of Wetlands Research
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    • v.17 no.4
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    • pp.380-390
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    • 2015
  • In this study, the major 38 tributaries in Nakdong River were monitored for flow rate and water quality in order to understand the characteristics of the watershed and to find improvement plan. The flow rate and water quality for each target tributary were evaluated based on the monitoring data in 2013~2014 using a statistical package SPSS-22.0. In addition, the tributary grouping method was conducted using a $BOD_5$ concentration/flowrate and TP concentration/flowrate monitoring data. The average values of $BOD_5$, $COD_{Mn}$, TP and TOC concentrations in Gumicheon, Gyeonghocheon, Jincheoncheon, Gisegokcheon, Yonghacheon and Yonghocheon located at Nakdong Waegwan and Nakdong Goryung watershed were high and in the grade of III or IV (5~8 mg/L). The Pearson correlation coefficients of TOC with $BOD_5$, $COD_{Mn}$, and TP were greater (r=0.8, p<0.01) than those of the other water quality parameters (12 species). The tributaries with high values of water quality parameters ($BOD_5$ > 3.0 mg/L, TP > 0.1 mg/L) and flowrate (Q > $0.1m^3/sec$) were selected for improving water quality according to the stream grouping method. Five tributaries (Gumicheon, Gisegokcheon, Yonghacheon, Yeongsancheon, Mijeoncheon and Yonghocheon) were classified as Group I, which require polices and plans for water quality improvement.

Pollution Characteristics of Water and Sediments for contaminated Agricultural Reservoirs (오염된 농업용저수지에서의 수질 및 퇴적물의 오염 특성)

  • Lee, Jin Kyung;Choi, Sun Hwa;Lee, Seong Houn
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.500-500
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    • 2016
  • 전국의 농업용 저수지 중 장기간 높은 유기물 및 영양염의 농도로 인해 부영양화가 우려되는 71개 저수지에 대하여 수질오염 및 퇴적물오염 특성을 분석하였다. 수질오염 특성 분석 결과, 평균농도가 COD 11.7 mg/L, TOC 6.8 mg/L, TN 1.844 mg/L, TP 0.101 mg/L, SS 18.1 mg/L, Chl-a 57.3 mg/$m^3$ 로 분석되었다. 조사 대상 저수지 71개 지구 중 COD 46.3 %, TN 84.4 %, Chl-a 63.7 %가 농업용수 수질기준 초과 저수지로 조사되었다. 또한 연구 대상지구의 주요 오염원으로 생활계오염원 31개 저수지의 COD 11.1 mg/L이며, 축산계오염원 40개 저수지의 COD 12.2 mg/L로 나타났다. 각 항목의 수질 결과에 대한 평균 오염도를 분석한 결과, 축산계 오염원이 생활계 오염원 저수지보다 부유물질(SS)을 제외하고 모든 항목에서 오염도가 높게 나타났다. 그러나 TN, TP는 오염원에 따라 크게 차이를 보이지는 않았으며, 축산계 오염원 저수지의 수질 오염도는 모든 항목에서 농업용수 수질기준을 초과하였다. 장기적인 수질오염 저수지에 대하여 퇴적물의 오염 특성을 조사하였으며, 퇴적물오염으로 인한 수질오염 영향관계를 조사 분석하였다. 퇴적물 오염 특성 분석 결과, 강열감량 10.5 %, 총질소 3,480 mg/kg, 총인 1,299 mg/kg으로 오염 수준이 전체적으로 높게 조사되었다. 생활계오염원 31개 저수지의 강열감량 9.8 %, 총질소 2,711 mg/kg, 총인 1,178 mg/kg이며, 축산계오염원 40개 저수지의 강열감량 11.1 %, 총질소 4,076 mg/kg, 총인 1,393 mg/kg로 나타났다. 수질 중 COD, TOC, TN, TP, SS, Chl-a의 오염도와 퇴적물중 강열감량, 총질소, 총인의 각 항목간 상관관계를 분석한 결과, 퇴적물 내 다른 항목에 비해 SS를 제외하고 총인이 모든 수질 항목과 정(+)의 상관관계를 나타내었다. 특히 퇴적물 중 총인과 수질의 TP가 가장 높은 상관성을 나타내는 것으로 조사되었는데, 이는 퇴적물 내 총인이 수질오염에 가장 많은 영향을 줄 수 있으며, 상호작용이 있음을 의미한다고 하겠다. 또한 수질의 TP 오염도에 따라 부영양화 및 조류의 활성화가 크게 영향을 받는다는 기존의 연구결과에 의하면 퇴적물 내 총인의 오염도가 부영양화와 조류 번식에 영향을 크게 미칠 것이라 판단된다.

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Water Pollution Source Tracing Using FDC and Correlation Analysis in Geumho River Basin (FDC 및 상관관계 분석을 이용한 금호강 유역에서의 오염원추적)

  • Park, Kyung Ok;Lee, Chang Hee;Cha, Il Geun
    • Journal of Wetlands Research
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    • v.18 no.3
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    • pp.232-243
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    • 2016
  • In order to establish the watershed water quality management strategy of Total Maximum Daily Load(TMDL), it is necessary to understand the relationship between water quality component impacts, and to identify the impacts on downstream target point of watershed water quality management of waste treatment plant(WTP) discharge and upstream/tributary loads. In this study, we determined the impacts between the water quality contaminants, and traced water pollution sources using monitoring data of ministry of environment in tributaries and main stream and WTP monitoring data. Test area is set to Geumho river basin which has characteristics of urban and rural area and composes of GeumhoA, GeumhoB, GeumhoC watershed units in TMDL. The clustering with five grades of discharge data and the correlation analysis were performed through the FDC(Flow duration curve) analysis, which more clearly identified the points and water contaminants deteriorating target water quality of downstream point. This can be used as a tool for tracing pollutants with FDC analysis, and will help us establish the watershed water quality management strategy for TMDL target point in watershed more effectively.

The Effect of Meteorological Factors on PM10 Depletion in the Atmosphere and Evaluation of Rainwater Quality (기상인자에 따른 대기 중 미세먼지 감소 및 빗물 특성 연구)

  • Park, Hyemin;Kim, Taeyong;Yang, Minjune
    • Korean Journal of Remote Sensing
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    • v.36 no.6_3
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    • pp.1733-1741
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    • 2020
  • This study analyzed the effect of meteorological factors on the concentration of PM10 (particulate matter 10) in the atmosphere and the variation of rainwater quality using multivariate statistical analysis. The concentration of PM10 in the atmosphere was continuously measured during eleven precipitation events with a custom-built PM sensor node. A total of 183 rainwater samples were analyzed for pH, EC (electrical conductivity), and water-soluble cations (Na+, Mg2+, K+, Ca2+, NH4+) and anions (Cl-, NO3-, SO42-). The data has been analyzed using two multivariate statistical techniques (principal component analysis, PCA, and Pearson correlation analysis) to identify relationships among PM10 concentrations in the atmosphere, meteorological factors, and rainwater quality factors. When the rainfall intensity was relatively strong (> 5 mm/h, rainfall type 1), the PM10 concentration in the atmosphere showed a negative correlation (r = -0.55, p < 0.05) with cumulative rainfall. The PM10 concentration increased the concentration of water-soluble ions (r = 0.25) and EC (r = 0.4), and decreased the pH (r = -0.7) of rainwater samples. However, for rainfall type 2 (< 5 mm/h), there was no negative correlation between the PM10 concentration in the atmosphere and cumulative rainfall and no statistically significant correlation between the PM10 concentration in the atmosphere and rainwater quality.

Estimation of Water Quality using Landsat 8 Images for Geum-river, Korea (Landsat 8 이미지영상을 이용한 영양염류농도 추정; 금강을 대상으로)

  • Lim, Jisang;Baik, Jongjin;Kim, Hyunglok;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.48 no.2
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    • pp.79-90
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    • 2015
  • In this study, the water quality parameters of Geum-river were estimated using Landsat 8 satellite image data which had launched in March 2013. The goal of this research is to predict HAB and to monitor spatial pattern of total nitrogen (TN) and total phosphorus (TP) because both TN and TP are the dominant factors of the growth of harmful algal blooms (HABs). To investigate the relationship between satellite band reflectance and in situ measurement value, Pearson' correlation coefficient analysis was used. The band2, 3, 4 and 5 reflectance values among 11 bands of Landsat 8 were used which was highly associated with detecting TN and TP. The 20 in situ data set with satellite's overpass time were identified. TN showed positive relation with band 2 (0.48), band3 (0.62), band4 (0.57) at a significance level of p<0.05. TP also showed high correlation for band2 (0.59), band3 (0.59), band4 (0.58) at a significance level of p<0.01. The optimal regression equation models were constructed for TN and TP based on multiple regression equations. The estimated concentration based on derived regression equations of TN and TP were compared with in situ measurement data. Finally, the spatial pattern of the two parameters was able be monitored through mapping on November 12, 2013 and April 21, 2014.

Analysis of Relationship between Spatial Distribution of Land Use and Water Quality in Agricultural Reservoirs (토지이용의 공간적 분포와 농업용저수지 수질 간의 상관분석)

  • Lee, Sae-Bom;Yoon, Chun-Gyeong;Jung, Kwang-Wook;Jang, Jae-Ho;Jeon, Ji-Hong
    • Korean Journal of Ecology and Environment
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    • v.40 no.3
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    • pp.481-488
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    • 2007
  • This study covers the relationship between land use and water quality items. The kinds of land used in this study were almost agricultural areas with paddy fields and mountains. We set up zones at intervals of 200 m along 48 watersheds all over the country. The analysis showed high relationship between the water quality and the land use specially on the areas in the 400 m radius from the stream so that the areas needed to have strict managements. In the cases of residential area and upland, the positive correlation had a tendency to be lower when they were farther away from the stream. It depended on the increase of rainfall during July and August which affected on the water quality of reservoirs. The correlation analysis of paddy fields resulted in negative relationship, which indicated that paddy fields did not have negative effect on the quality of the stream. Through adequate irrigation and Management, paddy fields may be led to have positive effect on the quality of the reservoirs. In the case of forest, it also resulted in negative correlation so it was concerned as a positive factor which helped to improve water quality. Furthermore more than 00% of the land used in this study is comprised of forest so that it would have a positive effect on the reservoir management.

Application of Remote Sensing Technology considering Water Quality Parameters of Nakdong River basin (하천수질인자를 고려한 원격탐사기술의 적용 ; 낙동강유역을 대상으로)

  • Lim, Ji Sang;Lee, Eul Rae;Kang, Sin Uk;Choi, Hyun Gu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.286-286
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    • 2015
  • 하천과 해양에서 발생한 수질오염은 특성상 유속의 흐름에 따라 광범위하며 급속도로 퍼져나가기 때문에 이를 효율적으로 유지, 관리하기 위해서는 오염인자들에 대한 모니터링이 수행되어야 한다. 원격탐사 기술을 이용한 하천의 수질측정은 대규모지역으로 분포해있는 수질농도의 변화양상을 시 공간적으로 모니터링 하는 것이 가능하게 할 뿐 아니라, 사람이 접근하기 어려운 지역에는 직접취수를 하지 않음으로써 기존의 수질측정방법들에 비해 편의성을 높여 시간적, 경제적 측면에서 효율적이다. 이에 본 연구에서는 최근 수질오염이 심화되고 있는 낙동강유역을 대상으로 인공위성 이미지영상을 이용하여 수질인자들의 농도측정을 수행하였다. 연구를 위해 사용된 인공위성은 NASA와 USGS가 공동으로 운용중인 Landsat 8 인공위성이다. Landsat 8의 11개 band 중 band2(Blue), band3(Green), band4(Red), band5(Near Infrared)를 사용하여 실제로 측정된 지점자료와 인공위성자료간의 상관관계를 규명하였다. 사용된 인공위성자료는 지점자료 날짜를 포함하는 총 4개의 연구날짜(2013/10/27, 2013/11/12, 2014/04/14, 2014/05/16)에 해당하는 위성이미지영상이다. Pearson상관계수를 통한 밴드와 수질인자간의 상관 결과, 본 연구지역에서는 $0.85-0.88{\mu}m$(band5)의 파장영역에서 클로로필-a와 부유물질이 가장 민감하게 반응함을 알 수 있었다. 두 수질인자들은 band2, band3, band4에서도 비교적 높은 상관성을 보였으며, 이를 근거로 band combination, band ratio를 통해 클로로필-a와 부유물질의 회귀모델식을 유도하였다. 각각의 회귀모델식은 실제 측정된 데이터들과 비교 검증을 통해 4개의 연구기간 중 2013년 10월 27일, 2014년 5월 16일에 대해서 클로로필-a와 부유물질의 공간적인 분포양상을 시각적으로 도시화하였다.

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A Non-parametric Trend Analysis of Water Quality Using Water Environment Network Data in Nakdong River (낙동강수계 물환경측정망 자료를 이용한 비모수적 수질 경향 비교 및 분석)

  • Kim, Jungmin;Jeong, Hyungi;Kim, Hyeran;Kim, Yongseok;Yang, Deukseok
    • Journal of Environmental Impact Assessment
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    • v.29 no.1
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    • pp.61-77
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    • 2020
  • In South Korea, major public waters have been systematic management under national level. Water environment network has been continuous monitoring for change of aquatic ecosystem, river and reservoir. In Water Quality Monitoring Networks, the data have been generally monitored Per eight days or month, while in Automatic Water Quality Monitoring Network the data have been monitored at daily intervals. Therefore, we were compared and analyzed water quality data between the networks using statistic method for same water quality item. Mann-kendall test results confirm that all points in Water Temperature (WT) and DO were not statistically significant. In particular, the result revealed that there is significant variation of TOC in the four different sites, TN in two different sites, TP in three different sites, WT in seven different sites, pH in two different sites between Water Quality Monitoring Network and Automatic Water Quality Monitoring Network. As a result firm LOWESS, TOC and pH clearly shows different trend. Among different sites, the water quality show the significantly positive correlations between at Sinam-Sangju2 and Namgang-Namgang4. Negative correlation significantly appeared in TP (ADD_Lower-AD1 site), TOC (DG-SG site), pH (GR-GR site), TP (JP-CN) and TN, TP, pH, EC, DO (GC-GC2-1 site).

RTWQI(Real Time Water Quality Index) evaluation of domestic lakes using automatic measurement network data (자동측정망 데이터를 활용한 국내 호소 실시간 수질지수 평가)

  • Kim, Seon Ung;Hong, Eun Mi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.174-174
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    • 2022
  • 수질지수는 여러 수질 데이터 값을 수학적으로 결합하고 다 변수 특성을 줄여 수치 및 등급으로 나타낸 지표이다. 수질지수를 통해 수질을 평가하고 서로 다른 위치와 시간의 수역을 종합적으로 비교할 수 있으며 수자원관리에 있어 정책입안자, 의사결정자, 국민이 수질에 대해 일반적이고 쉽게 이해할 수 있다. 현재 환경부에서는 국내수질자동측정망 최근 12시간 데이터 값을 근거로 실시간수질지수 RTWQI(Real-Time Water Quality)값을 제공한다. 국내 호소에 설치된 수질 자동측정망은 총 8개소이며 매 시간 공통 항목인 수온, pH, DO, 전기전도도, TOC 5개, 선택항목인 탁도, Chl-a, TN, TP, 중금속, 생물감시항목 등 27개를 측정한다. RTWQI는 캐나다에서 2001년에 개발된 CCME WQI(Canadian Council of Ministers of the Environment Water Quality Index) 산출식을 기초하였으며 F1(기준치를 위반하는 수질항목의 개수/ 총 수질항목 개수), F2(기준치를 위반한 샘플들의 총 횟수/총 샘플횟수) F3(기준치를 위반한 정도) 3가지의 요소로 계산된다. 그러나RTWQI 산출식의 기초인 CCME WQI는 개발 이후 여러 문제점들은 개선되었으나 F1이 다른 F2, F3 보다 CCME WQI 점수의 기여도가 2배 이상 높은 문제점은 개선하지 못하였다. 본 연구에서는 수질자동측정망이 설치된 2012년 7월부터 2021년 12월 동안 매 시간 별 수질 데이터를 이용하였다. 또한 CCME WQI 문제점을 개선한 MWQI(Modification of Canadian water qaulity index)를 기초하여 실시간 수질지수를 재 산정하였다. 추가적으로 Pearson 상관관계 분석 및 추가 통계분석을 통해 환경부에서 제공하는 기존의 RTWQI, 개선된 실시간수질지수, 한국형 호소수질평가지수 LQI(Lake Water Quality Index)를 비교 및 평가하였다. 이러한 연구를 통해 정확성 높은 수질지수를 찾고 수자원 관리 정책 수립에 적극 활용 될 수 있을 것으로 사료된다.

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