• Title/Summary/Keyword: Lowess

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Long-Term Trend Analyses of Water Qualities in Mangyung Watershed (비모수 통계기법을 이용한 만경강 유역의 장기간 수질 경향 분석)

  • Lee, Hye Won;Park, Seoksoon
    • Journal of Korean Society on Water Environment
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    • v.24 no.4
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    • pp.480-487
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    • 2008
  • Spatial and temporal analyses of water qualities were performed for 11 monitoring stations located in Mangyung watershed in order to analyze the trends of monthly water quality data of Biochemical Oxygen Demand (BOD), Total Nitrogen (TN) and Total Phosphorus (TP) measured from 1995 to 2004. The long-term trends were analyzed utilizing Seasonal Mann-Kendall test, LOWESS and three-dimensional graphs were constructed with respect to distance and time. The graph can visualize spatial and temporal trend of the long-term water quality in a large river system. The results of trend analysis indicated that water quality of BOD and TN showed the downward trend. This quantitive and quantitative analysis is the useful tool to analyze and display the long-term trend of water quality in a large river system.

Trend Analysis of Distribution on Stream Qualities in Gumho River

  • Kim, Jong-Tae;Lee, Byeung-Jae;Kim, Jin-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.713-719
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    • 2007
  • 금호강수계를 대상으로 1998년부터 2007년까지의 환경부의 수질측정망 대상수질자료를 이용하여 월별 수질경향을 LOWESS 경향분석법을 적용하여 장기수질경향을 분석하였다. 금호강을 상류, 중류, 하류로 구분하여 각각 3개 지점의 수질측정망에 대해서 대표수질항목인 BOD, TN, TP, EC에 대하여 수질환경 오염의 장기 경향을 분석하였다. 본 연구의 결과는 금호강의 위치에 따른 수질오염의 연도별 변화를 나타내는 것으로 수질 개선의 지방자치나 중앙의 수질 정책과 행정에 도움을 줄 수 있을 것이다.

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Comprasion of water level patterns and trends on the Namgang junction in the Nakdong River (낙동강 남강 합류부 수위 패턴 및 추세 비교)

  • Ahn, Jung Min;Yang, Duk-Seok;Lee, Injung;Jung, Kang Young;Shin, Dongseok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.249-249
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    • 2017
  • 본 연구에서는 낙동강 본류의 진동과 적포교, 남강의 거룡강, 대산, 정암 수위표의 관측된 2015년부터 2016년 2년간 수위자료를 이용하여, Self-Organizing Maps(SOM)과 LOcally WEighted Scatter plot Smoother(Lowess) 기법으로 패턴과 추세를 분석하였다. SOM 분석 결과, 낙동강 본 류의 진동과 적포교, 남강의 거룡강, 대산은 동일한 패턴과 추세를 나타냈다. 수위의 범위도, SOM 분석에서 진동 최소 EL. 4.41m, 최대 EL. 5.01m 범위, 적포교 최소 EL. 4.56m, 최대 EL. 5.38m 범위, 거룡강 최소 EL. 4.53m, 최대 EL. 5.18m 범위, 대산 최소 EL. 4.57m, 최대 EL. 5.35m 범위로 큰 차이가 발생하지 않았다. 거룡강과 대산 수위 관측지점은 낙동강 본류의 배수위 영향을 받는 것을 알 수 있었으며, 두 지점의 수위 관측 목적에 따라 상류로 지점 변경이 필요 할 수도 있을 것으로 판단된다.

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Long-Term Trend Analysis and Exploratory Data Analysis of Geumho River based on Seasonal Mann-Kendall Test (계절 맨-켄달 기법을 이용한 금호강 본류 BOD의 장기 경향 분석 및 탐색적 자료 분석)

  • Jung, Kang-Young;Lee, In Jung;Lee, Kyung-Lak;Cheon, Se-Uk;Hong, Jun Young;Ahn, Jung-Min
    • Journal of Environmental Science International
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    • v.25 no.2
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    • pp.217-229
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    • 2016
  • The government has conducted a plan of total maximum daily loads(TMDL), which divides with unit watershed, for management of stable water quality target by setting the permitted total amount of the pollutant. In this study, BOD concentration trends over the last 10 years from 2005 to 2014 were analyzed in the Geumho river. Improvement effect of water quality throughout the implementation period of TMDL was evaluated using the seasonal Mann-Kendall test and a LOWESS(locally weighted scatter plot smoother) smooth. As a study result of the seasonal Mann-Kendall test and the LOWESS smooth, BOD concentration in the Geumho river appeared to have been reduced or held at a constant. As a result of quantitatively analysis for BOD concentration with exploratory data analysis(EDA), the mean and the median of BOD concentration appeared in the order of GH8 > GH7 > GH6 > GH5 > GH4 > GH3 > GH2 > GH1. The monthly average concentration of BOD appeared in the order of Apr > Mar > Feb >May > Jun > Jul > Jan > Aug > Sep > Dec > Nov > Oct. As a result of the outlier, its value was the most frequent in February, which is estimated 1.5 times more than July, and was smallest frequent in July. The outlier in terms of water quality management is necessary in order to establish a management plan for the contaminants in watershed.

A Study on the Water Quality Changes of TMDL Unit Watershed in Guem River Basin Using a Nonparametric Trend Analysis (비모수 경향분석법 적용을 통한 금강수계 총량관리 단위유역의 수질변화 연구)

  • Kim, Eunjung;Kim, Yongseok;Rhew, Doughee;Ryu, Jichul;Park, Baekyung
    • Journal of Korean Society on Water Environment
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    • v.30 no.2
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    • pp.148-158
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    • 2014
  • In order to assess the effect of TMDLs management and improve that in the future, it is necessary to analyze long-term changes in water quality during management period. Therefore, long term trend analysis of BOD was performed on thirty monitoring stations in Geum River TMDL unit watersheds. Nonparametric trend analysis method was used for analysis as the water quality data are generally not in normal distribution. The monthly median values of BOD during 2004~2010 were analyzed by Seasonal Mann-Kendall test and LOWESS(LOcally WEighted Scatter plot Smoother). And the effect of Total Maximum Daily Loads(TMDLs) management on water quality changes at each unit watershed was analyzed with the result of trend analysis. The Seasonal Mann-Kendall test results showed that BOD concentrations had the downward trend at 10 unit watersheds, upward trend at 4 unit watersheds and no significant trend at 16 unit watersheds. And the LOWESS analysis showed that BOD concentration began to decrease after mid-2009 at almost all of unit watersheds having no trend in implementation plan watershed. It was estimated that TMDLs improved water quality in Geum River water system and the improvement of water quality was made mainly in implementation plan unit watershed and tributaries.

The Design Of Microarray Classification System Using Combination Of Significant Gene Selection Method Based On Normalization. (표준화 기반 유의한 유전자 선택 방법 조합을 이용한 마이크로어레이 분류 시스템 설계)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2259-2264
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    • 2008
  • Significant genes are defined as genes in which the expression level characterizes a specific experimental condition. Such genes in which the expression levels differ significantly between different groups are highly informative relevant to the studied phenomenon. In this paper, first the system can detect informative genes by similarity scale combination method being proposed in this paper after normalizing data with methods that are the most widely used among several normalization methods proposed the while. And it compare and analyze a performance of each of normalization methods with multi-perceptron neural network layer. The Result classifying in Multi-Perceptron neural network classifier for selected 200 genes using combination of PC(Pearson correlation coefficient) and ED(Euclidean distance coefficient) after Lowess normalization represented the improved classification performance of 98.84%.

Evaluation of long-term water quality management policy effect using nonparametric statistical methods

  • Jung, Kang Young;Ahn, Jung Min;Cho, Sohyun;Lee, Yeong Jae;Han, Kun Yeun;Shin, Dongseok;Kim, Kyunghyun
    • Membrane and Water Treatment
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    • v.10 no.5
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    • pp.339-352
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    • 2019
  • Long term water quality change was analyzed to evaluate the effect of the Total Maximum Daily Load (TMDL) policy. A trend analysis was performed for biochemical oxygen demand (BOD) and total phosphorus (TP) concentrations data monitored at the outlets of the total 41 TMDL unit watersheds of the Nakdong River in the Republic of Korea. Because water quality data do not usually follow a normal distribution, a nonparametric statistical trend analysis method was used. The monthly mean values of BOD and TP for the period between 2004 and 2015 were analyzed by the seasonal Mann-Kendall test and the locally weighted scatterplot smoother (LOWESS). The TMDL policy effect on the water quality change of each unit watershed was analyzed together with the results of the trend analysis. From the seasonal Mann-Kendall test results, it was found that for BOD, 7.8 % of the 41 points showed downward trends, 26.8 % and the rest 65.9% showed upward and no trends. For TP, 51.2% showed no trends and the rest 48.8% showed downward trends. From the LOWESS analysis results, TP began to decrease in most of the unit watersheds from mid-2010s when intensive chemical treatment processes were introduced to existing wastewater treatment plants. Overall, for BOD, relatively more points were improved in the main stream compared to the points of the tributaries although overall trends were mostly no trend or upward. For TP, about half of the points were improved and the rest showed no trends.

Tendency Analysis of Water Quality in the Yeongsan River Watershed using Mann-Kendall Test (Mann-Kendall 검정기법을 이용한 영산강 수질의 경향분석)

  • Kang, Ji Eun;Park, Sung Chun;Park, Su Ho;Lee, Woo Bum
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.442-442
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    • 2021
  • 하천과 호수 등 공공수역에서 측정되는 수질자료는 수자원 및 수생태계의 실태를 파악하기 위한 가장 중요한 요소이며, 측정망 운영으로 장기간 측정된 방대한 수질자료를 이용하여 신뢰성 있는 장기 경향 추세를 분석하는 것 또한 매우 중요하다. 장기간 생산된 수질자료에 대한 통계적 경향분석을 실시함으로써 정량적으로 수질자료를 분석할 수 있는데 우선 일정한 장소에서 동일한 측정기법을 통해 비교적 장기간 동안 일정간격으로 측정된 수질자료가 필요하다. 우리나라의 수질자료는 1990년도 이후부터 잘 축적되어 왔으므로 비로소 시간에 따른 수질변화 경향을 파악하는 것이 용이해졌다. 이러한 수질경향 분석을 통하여 수체 내부에서 일어나는 여러 가지 수질 변화 과정을 이해하고 적절한 수질관리 대책을 마련할 수도 있다. 본 연구에서는 수질자료의 경향을 분석하기 위하여 비모수적 통계기법의 수질 경향을 분석하는데 많이 활용되는 맨-켄달 검정기법(Mann-Kendall Test)과 LOWESS(LOcally WEighted Scatter polt Smoother) 경향분석법을 적용하였다. 맨-켄달 검정기법은 선형 경향을 기본 가정으로하기 때문에 대상 기간 동안 경향성이 변할 경우에는 이를 적절히 반영할 수 없는 단점이 있으나 LOWESS 경향분석법은 이를 보완하기 위하여 특정회귀모델을 가정하지 않고 이동 직선에 대한 수질자료 점들을 통해 회귀모델을 적합 시키는 방법으로 기간 내 변화하는 경향성을 파악 할 수 있는 대상지점은 영산강본류 중심으로 지류지천을 포함하여 18개 지점에 대하여 분석하였으며, p-value값은 0.05를 기준으로 미만일 경우 경향성이 있고, 이상일 경우 경향성이 없는 것으로 분류하였으며, Trend는 경향성이 있다고 판단될 경우 S값이 양수이면 증가하는 경향으로, S값이 음수이면 감소하는 경향으로 판단하였다. 경향분석을 통해 영산강 18개 지점을 분석한 결과 영산강 상류와 중류, 지류에 대한 전체적인 경향을 판단할 수 있었다.

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A Study on the Change of Occurrence Characteristics of Daily Seoul Rainfall using Markov Chain (마코프 연쇄를 이용한 서울지점 일강우의 발생특성 변화 연구)

  • Hwang, Seok-Hwan;Kim, Joong-Hoon;Yoo, Chul-Sang;Jung, Sung-Won;Joo, Jin-Gul
    • Journal of Korea Water Resources Association
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    • v.42 no.9
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    • pp.747-758
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    • 2009
  • In this study, long-term variabilities of rainfall-occurrence characteristics are analyzed using rainfall data at Seoul, which is the longest data record existing in world. first, the accuracy of Chukwooki data set (CWK) are evaluated in view of rainfall-occurrence probability by analyzing the transition probabilities and occurrence characteristics based on Markov chain. And long-term inter-monthly variabilities of transition probabilities are analyzed using two dimensional LOWESS regression. From the results of analyzed transition probabilities and occurrence characteristics, it is different that rainfall-occurrence characteristics between CWK and modern rain gage data set (MRG) for original rainfall data sets (M00). For characteristics of rainfall series, occurrences probabilities of rainfall are increased and durations of each rainfall are shorter than past. And from the results of analyzing the long-term inter-monthly variabilities of transition probabilities, in case of M20, lengths of dry spells between CWK and MRG are not different significantly and lengths of wet spells are decreased persistently after A.D. 1830. Especially, decreasing trend for lengths of wet spells at recent september are appeared significantly. These results are considered with increasing trend of recent rainfall, it is concluded that recent frequencies and intensities of rainfall are increasing.

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).