• Title/Summary/Keyword: 지역평균농도

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Characteristics of Ionic Composition of Rainwater in Suwon (수원지역 빗물의 이온 조성)

  • Lee, Jong-Sik;Jung, Goo-Bok;Kim, Jin-Ho;Kim, Won-Il;Lee, Jeong-Taek
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.2
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    • pp.151-155
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    • 2007
  • The issue of acid precipitation and related environmental problems in East Asia have been emerging. To evaluate the acidity and chemical characteristics of rainwater in Korea, its chemical properties during crop cultivation season from April to October were investigated at Suwon, Korea. Also, to estimate the contribution of ions on its acidity, ion composition characteristics and neutralization effects by cation ions were determined. Ion balance and electrical conductivity balance between the measured and estimated values showed high correlation. Rainwater had distributed highly in the range of pH 4.5~5.6. The pH of rainwater was relatively high at June as compared with other monitoring periods. $Na^+$ was the main cation followed by $NH_4{^+}$, $Ca^{2+}$, $H^+$ > $K^+$ > $Mg^{2+}$. Among these, $Na^+$, $NH_4{^+}$, $Ca^{2+}$ and $H^+$ covered over 93% of total cations. About 86% of anion in rainwater was composed of $SO{_4}^{2-}$ and $NO_3{^-}$. In rainwater samples, $NH_4{^+}$ and $Ca^{2+}$ contributed greatly to neutralization of the rain acidity. Also, 88% of soluble sulfate in rainwater was nss-$SO{_4}^{2-}$(non-sea salt sulfate).

Optimization of Soil Contamination Distribution Prediction Error using Geostatistical Technique and Interpretation of Contributory Factor Based on Machine Learning Algorithm (지구통계 기법을 이용한 토양오염 분포 예측 오차 최적화 및 머신러닝 알고리즘 기반의 영향인자 해석)

  • Hosang Han;Jangwon Suh;Yosoon Choi
    • Economic and Environmental Geology
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    • v.56 no.3
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    • pp.331-341
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    • 2023
  • When creating a soil contamination map using geostatistical techniques, there are various sources that can affect prediction errors. In this study, a grid-based soil contamination map was created from the sampling data of heavy metal concentrations in soil in abandoned mine areas using Ordinary Kriging. Five factors that were judged to affect the prediction error of the soil contamination map were selected, and the variation of the root mean squared error (RMSE) between the predicted value and the actual value was analyzed based on the Leave-one-out technique. Then, using a machine learning algorithm, derived the top three factors affecting the RMSE. As a result, it was analyzed that Variogram Model, Minimum Neighbors, and Anisotropy factors have the largest impact on RMSE in the Standard interpolation. For the variogram models, the Spherical model showed the lowest RMSE, while the Minimum Neighbors had the lowest value at 3 and then increased as the value increased. In the case of Anisotropy, it was found to be more appropriate not to consider anisotropy. In this study, through the combined use of geostatistics and machine learning, it was possible to create a highly reliable soil contamination map at the local scale, and to identify which factors have a significant impact when interpolating a small amount of soil heavy metal data.

The Effective for Non-Point pollution Reduction Facility installation project (비점오염저감시설 설치사업의 효과 평가)

  • Choe, Hye-Seon;Geronimo, Franz Kevin;Jeon, Min-Su;Reyes, Nash Jett;Kim, Lee-Hyeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.206-206
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    • 2020
  • 토지이용의 고도화에 따라 비점오염원 부하는 증가하는 추세이며 기후변화에 따른 강우강도 증가 등으로 지표면에 축적된 고농도의 비점오염물질이 하천으로 유출, 수질오염을 가중시키고 있어 비점오염원 관리가 필요하다. 환경부에서 효율적인 비점오염원 관리를 위하여 2004년부터 현재까지 3단계에 걸쳐 비점오염원 관리 종합대책을 수행하고 있으며, 2008년부터 비점국고보조사업을 추진하여 비점오염저감시설 설치를 통한 수질개선 및 수생태계 건강성 확보에 기여하고자 하였다. 이에 본 연구는 비점국고보고사업을 통해 구축된 비점오염저감시설을 대상으로 시설 설치 및 운영 현황과 강우시 비점오염저감 효과 분석을 통한 시설의 평가를 수행하고자 한다. 연구대상시설은 시범시설 및 국고보조시설 총 70개소로 2005~2017년에 준공되었으며, 2016년부터 현재까지 총 4년동안 진행된 모니터링을 바탕으로 연구를 수행하였다. 시설의 용량은 34~97,000㎥의 범위로 SA/CA 1.2~6.6%의 범위이다. 강우시 모니터링은 선행무강우일수 3일이상을 고려하여 수행하였으며 도시지역의 경우 5mm 이상, 농촌지역 10mm 이상시 모니터링을 진행하였다. 시설의 유입과 유출부에서 수질 및 유량 모니터링을 진행하였으며, 수질오염공정시험법에 준하여 BOD, COD, SS, T-N 및 T-P 항목에 대해 분석을 수행하였다. 모니터링 결과, 국내 비점오염저감시설의 평균 부하량은 SS 250.4 kg/day, BOD 89.2 kg/day, COD 136.2 kg/day, TN 51.4 kg/day, TP 7.1 kg/day 로 분석되었으며, 유출부 의 경우 SS 83.8 kg/day, BOD 37.2 kg/day, COD 51.0 kg/day, TN 15.4 kg/day, TP 2.0 kg/day로 나타났다. 또한, 은 오염물질 유입 및 유출 부하량의 상관관계 분석결과 SS, BOD, COD의 유입 및 유출 부하량의 상관성은 높게 나타났으며 특히 유기물질(BOD, COD)의 상관성은 0.8이상으로 분석되었다(p<0.005). 이는 비점오염저감시설에 적용된 식생, 미생물, 여재 등을 통하여 물리학적 및 생태학적 처리를 통해 저감되기 때문으로 판단된다. 하지만, TN은 인위적 요인과 자연적 요인이 복합적으로 작용으로 배출 특성으로 상관성은 매우 낮은 것으로 분석되었다.

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Eutrophication and Freshwater Red-tide Algae on Early Impoundment Stage of Jeolgol Reservoir in the Paikryeong Island, West Sea of South Korea (백령도 절골저수지의 부영양화와 담수적조)

  • Lee, Heung-Soo;Hur, Jin;Park, Jae-Chung;Shin, Jae-Ki
    • Korean Journal of Ecology and Environment
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    • v.39 no.2 s.116
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    • pp.271-283
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    • 2006
  • A systematic water quality survey was conducted in August, 2005 for a drinking water supply reservoir (the Jeolgol reseuoir located in an island), which is at an early stage of impoundment, to investigate the causes of water color deterioration of the reservoir and the clogging of filter beds of a water treatment plant. The reservoir shape was simple and its average depth was 5.5 m, increasing from upreservoir toward the downreservoir end near the dam. Dissolved oxygen (DO) and chloropllyll-a (chi-a) showed a large variation while water temperature had a smaller range. Transparency ranged from 0.6 to 0.9 m (average 0.7 m). The average value of turbidity was 9.3 NTU, ranging from 8.0 ${\sim}$ 12.1 NTU. The transparency and the turbidity appear to be affected by a combination of biological and non-biological factors. The poor transparency was explained by an increase of inorganic colloids and algal bloom in the reservoir. The blockage of the filter bed was attributed to the oversupply of phytoplanktons from the reservoir. The range and the average concentration of chi-a within the reservoir were 31.6 ${\sim}$ 258.9 ${\mu}g\;L^{-1}$, 123.6 ${\mu}g\;L^{-1}$ for the upper layer, and 17.0 ${\sim}$ 37.4 ${\mu}g\;L^{-1}$, 26.5 ${\mu}g\;L^{-1}$ for the bottom layer, respectively. A predominant species contributing the algal bloom was Dinophyceae, Peridinium bipes f. occultatum. The distribution of Peridinium spp. was correlated with chi-a concentrations. The standing crop of phytoplankton was highest in the upreservoir with $8.5\;{\times}\;103\;cells\;mL^{-1}$ and it decreased toward the downresevoir. Synedra of Bacillariophyceae and Microcystis aeruginosa of Cyanophyceae appeared to contribute to the algal bloom, although they are not dominated. It is mostly likely that sloped farmlands located in the watershed of the reservoir caused water quality problems because they may contain a significant amount of the nutrients originated from fertilizers. In addition, the aerators installed in the reservoir and a shortage of the inflowing water may be related to the poor water quality. A long-term monitoring and an integrated management plan for the water quality of the watersheds and the reservoir may be required to improve the water quality of the reservoir.

A Study on Developing a Model for Cancer Damage Cost Due to Risk from Benzene in Ulsan Metropolitan City (울산 지역에서 대기중 벤젠으로 인한 암 사망 손실비용 추정 모형에 관한 연구)

  • Lee, Yong-Jin;Kim, Ye-Shin;Shin, Dong-Chun;Shin, Young-Chul
    • Environmental and Resource Economics Review
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    • v.13 no.1
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    • pp.49-82
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    • 2004
  • The study aimed to evaluate cancer damage cost due to risk from benzene inhalation. We performed health risk assessment based on US EPA guideline to estimate annual population risk in Ulsan metropolitan city. Also, we estimated a willingness-to-pay amount for reducing a cancer mortality rate to evaluate a value of statistical life. We combined the annual population risk and the value of statistical life to calculate the cancer damage cost. In the health risk assessment, we applied the benzene unit risk ($2.2{\times}10^{-6}{\sim}7.8{\times}10^{-6}$) in the US EPA'S Integrated Risk Information System to assess the annual population risk. Average concentration of benzene in ambient air is $7.88{\mu}g/m^3$(min: 1.16~max: $23.32{\mu}g/m^3$). We targeted an exposure population of 516,641 persons who aged over 30 years old. Using a Monte-Carlo simulation for uncertainty analysis, we evaluated that the population risk of benzene during ten years in Ulsan city is 2.90 persons (5 percentile: 0.32~95 percentile: 9.11persons). And the monthly average WTP for 5/1,000 cancer mortality reduction during ten years is 14,852 Won(95% C.I: 13,135~16,794 Won) and the implied VSL is 36 million Won(95% C.I: 30~40 million Won). Cancer damage cost due to risk from benzene inhalation during 10 years in Ulsan city is about 104 million Won(5 percentile: 13~95 percentile: 328 million Won). Health benefit cost to reduce a cancer mortality risk of benzene is about 50 million Won is Ulsan metropolitann city. But, it is very important that this cost is not for all health damage cost of cancer mortality in some area. We just recommended a model for evaluating a cancer risk reduction, so we must re-evaluate an integrated application of total VOCs damage cost including benzene.

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Ionic composition and pollution characteristics of precipitation in Jeju Island during 2009-2014 (2009-2014년 제주지역 강수의 이온조성 및 오염특성)

  • Bu, Jun Oh;Song, Jung Min;Shin, Su Hyun;Kim, Won Hyung;Kang, Chang Hee
    • Analytical Science and Technology
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    • v.29 no.1
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    • pp.19-28
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    • 2016
  • The objective of this study was to determine the acidification of precipitation in the Jeju area. Precipitation samples were collected from the Jeju area from 2009-2014, and the major ionic species were analyzed. In the regression analysis, through a comparison of ion balance, electric conductivity, and acid fraction, the correlation coefficients showed a good linear relationship within the range of 0.927~0.983. The volume-weighted means of the pH and electric conductivity were 4.9 and 22.7 µS/cm, respectively. The ionic strength of precipitation was 0.27±0.38 mM, indicating about 35.9 % of total precipitation within the pure precipitation criteria. The volume-weighted mean concentrations (ìeq/L) of the ionic species in the precipitation were in the order of Na+ > Cl > nss-SO42− > NO3 > NH4+ > Mg2+ > H+ > nss-Ca2+ > PO43− > K+ > HCOO > CH3COO > NO2 > F > HCO3 > CH3SO3 . The acidification contributions by sulfuric and nitric acids were 54.5 % and 36.5 %, respectively. Meanwhile the acidification contributions by formic and acetic acids were 4.8 % and 4.2 %, respectively. Thus, it was found that the acidification of the precipitation in the Jeju area was mainly due to the inorganic acids. The neutralization factors by NH3 and CaCO3 were also 33 % and 20 %, respectively.

EMC and Unit Loads of Pollutants Generated from Tomato Cultivation during Rainfall (강우시 시설재배지역의 오염물질 유출 EMC 및 원단위 산정)

  • Jeon, Je Chan;Kwon, Koo Ho;Lee, Sang Hyeub;Lee, Jea Woon;Gwon, Heun Gag;Min, Kyung Sok
    • Journal of Wetlands Research
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    • v.15 no.4
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    • pp.555-566
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    • 2013
  • Total maximum daily load enforced in 2004 is a program to evaluate the amount of pollutants by each land use type and manage to meet a target water quality of each waterbody. The many research to calculate runoff load of pollutants by landuse type have been studied. This study was conducted to calculate pollutants EMC, load and unit load in stormwater runoff generated from tomato growing area. Monitoring was conducted about 32 event during 4years and water quality parameters such as BOD, $COD_{Mn}$, TOC, TSS, TN, TP, $NH_3-N$, $NO_3-N$, $PO_4-P$ were analyzed at the laboratory. The average EMC were measured as follows: 9.6 BOD mg/L, 17.2 $COD_{Mn}$ mg/L, 5.5 TOC mg/L, 319.4 TSS mg/L, 4.4 T-N mg/L, 2.6 T-P mg/L, 0.5 $NH_3-N$ mg/L, 0.04 $NO_2-N$ mg/L, 2.6 $NO_3-N$ mg/L, 0.8 $PO_4-P$ mg/L. TN and TP is dichargeed as $NO_3-N$ and particle phosphorus type, respectively.

Contamination Assessment of Water Quality and Stream Sediments Affected by Mine Drainage in the Sambo Mine Creek (삼보광산 수계 하천수질 및 퇴적토의 오염도 평가)

  • Jung, Goo-Bok;Kwon, Soon-Ik;Hong, Sung-Chang;Kim, Min-Kyeong;Chae, Mi-Jin;Kim, Won-Il;Lee, Jong-Sik;Kang, Kee-Kyung
    • Korean Journal of Environmental Agriculture
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    • v.31 no.2
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    • pp.122-128
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    • 2012
  • BACKGROUND: Mine drainage from metal mining districts is a well-recognized source of environmental contamination. Oxidation of metal sulfides in mines, mine dumps and tailing impoundments produces acidic, metal-rich waters that can contaminate the local surface water and soil. METHODS AND RESULTS: This experiment was carried out to investigate the pollution assessment of heavy metal on the water quality of mine drainage, paddy soils and sediment in lower watershed affected by mine drainage of the Sambo mine. The average concentrations of dissolved Cd (0.018~0.035 mg/L) in mine drainage discharged from the main waste rock dumps(WRD) was higher than the water quality standards (0.01 mg/L) for agricultural water in Korea. Also, the average concentrations of dissolved Zn, Fe and Mn were higher than those of recommended maximum concentrations (Zn 2.0, Fe 5.0, Mn 0.2 mg/L) of trace metal in irrigation water proposed by FAO (1994). The average contents of Pb and Zn in paddy soils was higher than those of standard level for soil contamination(Pb 200, Zn 300 mg/kg) in agricultural soil by Soil Environmental Conservation Act in Korea. Also, the concentrations of Cd, Pb and Zn in sediment were higher than those of standard level for soil contamination (Cd 10, Pb 400, Zn 600 mg/L) in waterway soil by Soil Environmental Conservation Act in Korea. The enrichment factor (EFc) of heavy metals in stream sediments were in the order as Cd>Pb>Zn> As>Cu>Cr>Ni. Also, the geoaccumulation index (Igeo) of heavy metals in stream sediments were in the order as Zn>Cd>Pb>Cu>As>Cr>Ni, specially, the geoaccumulation index (Igeo) of Zn (Igeo 3.1~6.2) were relatively higher than that of other metals in sediment. CONCLUSION(s): The results indicate that stream water and sediment were affected by mine drainage discharged from the Sambo mine at least to a distance of 1 km downstream (SN-1, SN-2) of the mine water discharge point.

Prediction of future hydrologic variables of Asia using RCP scenario and global hydrology model (RCP 시나리오 및 전지구 수문 모형을 활용한 아시아 미래 수문인자 예측)

  • Kim, Dawun;Kim, Daeun;Kang, Seok-koo;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.49 no.6
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    • pp.551-563
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    • 2016
  • According to the 4th and 5th assessment of the Intergovernmental Panel on Climate Change (IPCC), global climate has been rapidly changing because of the human activities since Industrial Revolution. The perceived changes were appeared strongly in temperature and concentration of carbon dioxide ($CO_2$). Global average temperature has increased about $0.74^{\circ}C$ over last 100 years (IPCC, 2007) and concentration of $CO_2$ is unprecedented in at least the last 800,000 years (IPCC, 2014). These phenomena influence precipitation, evapotranspiration and soil moisture which have an important role in hydrology, and that is the reason why there is a necessity to study climate change. In this study, Asia region was selected to simulate primary energy index from 1951 to 2100. To predict future climate change effect, Common Land Model (CLM) which is used for various fields across the world was employed. The forcing data was Representative Concentration Pathway (RCP) data which is the newest greenhouse gas emission scenario published in IPCC 5th assessment. Validation of net radiation ($R_n$), sensible heat flux (H), latent heat flux (LE) for historical period was performed with 5 flux tower site-data in the region of AsiaFlux and the monthly trends of simulation results were almost equaled to observation data. The simulation results for 2006-2100 showed almost stable net radiation, slightly decreasing sensible heat flux and quite increasing latent heat flux. Especially the uptrend for RCP 8.5 has been about doubled compared to RCP 4.5 and since late 2060s, variations of net radiation and sensible heat flux would be significantly risen becoming an extreme climate condition. In a follow-up study, a simulation for energy index and hydrological index under the detailed condition will be conducted with various scenario established from this study.

Analysis of Empirical Multiple Linear Regression Models for the Production of PM2.5 Concentrations (PM2.5농도 산출을 위한 경험적 다중선형 모델 분석)

  • Choo, Gyo-Hwang;Lee, Kyu-Tae;Jeong, Myeong-Jae
    • Journal of the Korean earth science society
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    • v.38 no.4
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    • pp.283-292
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    • 2017
  • In this study, the empirical models were established to estimate the concentrations of surface-level $PM_{2.5}$ over Seoul, Korea from 1 January 2012 to 31 December 2013. We used six different multiple linear regression models with aerosol optical thickness (AOT), ${\AA}ngstr{\ddot{o}}m$ exponents (AE) data from Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Terra and Aqua satellites, meteorological data, and planetary boundary layer depth (PBLD) data. The results showed that $M_6$ was the best empirical model and AOT, AE, relative humidity (RH), wind speed, wind direction, PBLD, and air temperature data were used as input data. Statistical analysis showed that the result between the observed $PM_{2.5}$ and the estimated $PM_{2.5}$ concentrations using $M_6$ model were correlations (R=0.62) and root square mean error ($RMSE=10.70{\mu}gm^{-3}$). In addition, our study show that the relation strongly depends on the seasons due to seasonal observation characteristics of AOT, with a relatively better correlation in spring (R=0.66) and autumntime (R=0.75) than summer and wintertime (R was about 0.38 and 0.56). These results were due to cloud contamination of summertime and the influence of snow/ice surface of wintertime, compared with those of other seasons. Therefore, the empirical multiple linear regression model used in this study showed that the AOT data retrieved from the satellite was important a dominant variable and we will need to use additional weather variables to improve the results of $PM_{2.5}$. Also, the result calculated for $PM_{2.5}$ using empirical multi linear regression model will be useful as a method to enable monitoring of atmospheric environment from satellite and ground meteorological data.