• Title/Summary/Keyword: Seasonal-kendall test

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An Analysis of Long-term Changes in Water Quality of Geumho River using Statistical Techniques

  • Jung, Kang-Young;Cho, Sohyun;Ha, Don-woo;Kang, Tae-woo;Lee, Yeong Jae;Han, Kun-Yeun;Kim, Kyunghyun
    • Journal of Environmental Science International
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    • v.27 no.10
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    • pp.883-899
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    • 2018
  • In this study, water quality data of eight main sites in the Geumho River watershed were collected and analyzed for long-term changes in water quality over the period from 2005 to 2015. The results showed that BOD concentration was gradually improved by the Total Maximum Daily Load (TMDL), stages 1 and 2. Recently, a tendency of increasing BOD concentration was observed in the downstream section of the river. The concentration of COD was analyzed to be contaminated throughout the water system regardless of the water quality improvement project, and the TN concentration tended to increase in the midstream of the river from 2013. The TP concentration has clearly decreased from 2012 after the second stage of TMDL. For the statistical analysis of PCA ordination, monthly water qualities (pH, DO, Electrical Conductivity (EC), Water Temperature (WT), BOD, COD, TN, TP, TOC, and SS) and flow rate data for 5 years from 2012 to 2016 were used. Seasonally the Geumho River showed an increase in the TN concentration at point sources during the dry season (December to February). TP showed the effect of non-point sources in the summer, because rainfall has caused a rise in flow rate in the upstream. Besides, the origin of pollution source was changed from non-point sources with BOD, COD, and TOC.

Characterizing Changes of Water Quality and Relationships with Environmental Factors in the Selected Korean Reservoirs (우리나라 주요 호소의 수질 변동 경향성 분석 및 유형화)

  • Kwon, Yong-Su;Bae, Mi-Jung;Kim, Jun-Su;Kim, Yong-Jae;Kim, Baik-Ho;Park, Young-Seuk
    • Korean Journal of Ecology and Environment
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    • v.47 no.3
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    • pp.146-159
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    • 2014
  • In this study, we evaluated the temporal changes of water quality in the 90 reservoirs in Korea and the relationships between water quality and their environmental factors in the reservoirs for effective management of reservoirs. The majority of study reservoirs were categorized as the eutrophic state based on Carlson's trophic index. Among 90 reservoirs, more than 55.0% were nutrient-rich based on $TSI_{TP}$ in each month, where more than 50.0% were nutrient-rich based on $TSI_{Chl-a}$ from June to November. Seasonal Mann-Kendall test was used to analyze temporal variation of water quality in the selected 60 reservoirs using monthly data from 2004 to 2008. The results showed that 27 (45.0%) reservoirs showed the improvement of water quality based on TP and Chl-a concentrations, while 14 (23.3%) and 11 (18.3%) reservoirs displayed the degradation of water quality based on TP and Chl-a concentrations, respectively. Meanwhile, a self-organizing map classified the study reservoirs into five groups based on differences of hydrogeomorphology (altitude, catchment area, bank height, lake age, etc.). Physicochemical factors and land use/cover types showed clear differences among groups. Finally, hydrogeomorphology of reservoirs were related to water quality, indicating that the hydrogeomorphological characters strongly affect water quality of reservoirs.

A Hydrometeorological Time Series Analysis of Geum River Watershed with GIS Data Considering Climate Change (기후변화를 고려한 GIS 자료 기반의 금강유역 수문기상시계열 특성 분석)

  • Park, Jin-Hyeog;Lee, Geun-Sang;Yang, Jeong-Seok;Kim, Sea-Won
    • Spatial Information Research
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    • v.20 no.3
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    • pp.39-50
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    • 2012
  • The objective of this study is the quantitative analysis of climate change effects by performing several statistical analyses with hydrometeorological data sets for past 30 years in Geum river watershed. Temperature, precipitation, relative humidity data sets were collected from eight observation stations for 37 years(1973~2009) in Geum river watershed. River level data was collected from Gongju and Gyuam gauge stations for 36 years(1973~2008) considering rating curve credibility problems and future long-term runoff modeling. Annual and seasonal year-to-year variation of hydrometeorological components were analyzed by calculating the average, standard deviation, skewness, and coefficient of variation. The results show precipitation has the strongest variability. Run test, Turning point test, and Anderson Exact test were performed to check if there is randomness in the data sets. Temperature and precipitation data have randomness and relative humidity and river level data have regularity. Groundwater level data has both aspects(randomness and regularity). Linear regression and Mann-Kendal test were performed for trend test. Temperature is increasing yearly and seasonally and precipitation is increasing in summer. Relative humidity is obviously decreasing. The results of this study can be used for the evaluation of the effects of climate change on water resources and the establishment of future water resources management technique development plan.

Long-term Trend Analysis of Chlorophyll a and Water Quality in the Yeongsan River (통계적 경향 분석을 통한 영산강의 클로로필 a와 수질 변동 해석)

  • Song, Eun-Sook;Jeon, Song-Mi;Lee, Eo-Jin;Park, Do-Jin;Shin, Yong-Sik
    • Korean Journal of Ecology and Environment
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    • v.45 no.3
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    • pp.302-313
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    • 2012
  • Long-term trends (e.g. 1997~2010) of chlorophyll a and water quality properties of the Yeongsan River were analyzed by using water quality monitoring data collected by the water information system, ministry of environment. Nine monitoring stations were selected along the main channel of the river, and parameters of BOD, COD, TN, TP, conductivity, TSS and chlorophyll a were collected for surface water monthly through the monitoring system. Trends of water quality and chlorophyll a were analyzed by the Seasonal Mann-Kendall Test and LOWESS (Locally Weighted Scatter-plot Smoother). The results showed that the water quality parameters, including chlorophyll a, were improved in all stations except Station WC in the most-upper region, where water quality data for the determined parameters were increased, indicating a reduction in water quality. Based on the results from LOWESS analysis, chlorophyll a (algal blooms), BOD and COD recently began to increase after 2007 suggesting that an additional study on the cause of these increases in organic pollution, as well as a better management system for the region are required.