• 제목/요약/키워드: Sulfate and nitrate related

검색결과 19건 처리시간 0.026초

염류집적 농경지의 전기동력학적 정화 (Electrokinetic Restoration of Saline Agricultural Land)

  • 조성웅;김도형;양중석;정근욱;백기태
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제17권4호
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    • pp.19-26
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    • 2012
  • The influence of operation time on electrokinetic restoration was investigated to remove salts from sulfate-accumulated greenhouse soil. Operation time is directly related to the process cost, therefore, we determined the relationship between operation time and removal of salts. Nitrate and sodium were removed almost completely within 2 weeks, chloride and calcium was removed in proportion to the operation time. Sulfate was accumulated at the center of anode and cathode. The soil electrical conductivity (EC), an indicator for soil salinity, showed similar shape with the residual sulfate after electrokinetic treatment. The soil EC was not changed after 2 weeks, however, the energy consumption increased with operation time. Based on the experimental results, most salts except sulfate were removed within 2 weeks, but sulfate was not removed during same time period. For the further removal of sulfate, longer operation time is in need.

Estimation of Source Contribution for PM10 by Chemical Mass Balance(CMB) in Busan

  • Jeon, Byung-Il;Lee, Young-Mi
    • 한국환경과학회지
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    • 제17권4호
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    • pp.359-364
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    • 2008
  • PM10 samples were collected from July 2007 to Oct. 2007 at Gwaebopdong(inland area) and Dongsamdong(coastal area), in Busan. This paper investigates the contribution of emission sources to PM10 mass in Busan. Source apportionment results derived from the chemical mass balance(CMB) method. A source profiles applied in this study is organized to minimize the collinearity among sources type via statistical method. Source profiles applied in this study utilized a measured value of fine particle directly sampled from metropolitan area such as Seoul and Incheon, After a CMB modeling, sulfate and nitrate related sources among those contributing to PM10 in Busan showed high contribution by 36.53% in Gwaebopdong and 42.02% in Dongsamdong.

Effect of nitrogen types and the electrical conductivity of a nutrient solution on gray mold caused Botrytis cinerea on strawberry plants

  • Nam, Myeong hyeon;Lee, Hee chul;Kim, Tae il
    • 농업과학연구
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    • 제46권1호
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    • pp.103-111
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    • 2019
  • Gray mold caused by Botrytis cinerea on strawberry plants is an economically significant disease in Korea. The rates for diseased fruits are high during the strawberry harvesting period from December to February, especially in hydroponic cultivation. This study assessed the effect of the nitrogen type in the soil culture and the electrical conductivity (EC) of the nutrient solution in a hydroponic culture on the gray mold incidence in 'Seolhyang' strawberry plants. The nitrogen sources assayed included calcium nitrate tetrahydrate (CN4), calcium nitrate decahydrate (CN10), ammonium sulfate (AS), and commercial fertilizer 213 (213). The effect of the EC was tested at 0.5, 0.8, 1.0, and $1.5dS{\cdot}m^{-1}$. The occurrence of gray mold varied according to the nitrogen type. The disease incidence and nitrogen content for the main nitrogen type were higher compared to the non-treated control. The AS treatment showed the highest occurrence of tipburn and gray mold. The incidence of gray mold as well as the nitrogen and phosphorus content of the leaves increased as the EC level was increased. These results indicate that the incidence of gray mold in strawberry plants is related to the nitrogen content of the leaf and the EC of the nutrient solution.

부산지역 내륙과 해안의 $PM_{10}$ 중의 금속농도와 이온농도 특성 (Characteristics of Metallic and Ionic Concentration in $PM_{10}$ at Inland and Seashore in Busan)

  • 전병일;황용식;오광중
    • 환경영향평가
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    • 제19권3호
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    • pp.323-333
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    • 2010
  • $PM_{10}$ mass were measured in Gwaebeopdong (inland) and Dongsamdong (seashore) of Busan in summer and fall, 2007 and the 24-hour averaged samples were analyzed to investigate temporal and spatial variability of metallic elements and water-soluble ions in $PM_{10}$. Overall average concentrations of $PM_{10}$ mass during the study period were 72.7 ${\mu}g/M^3$ and 64.3 ${\mu}g/M^3$ in Gwaebeopdong and Dongsamdong, respectively. As for metal elements, averaged concentrations of crustal components, Ca, Fe, K, Mn, and Ti, in Gwaebeopdong exhibited enhancement relative to Dongsamdong. Non-crustal elements, Pb and Cu, displayed elevated levels in Gwaebeopdong while Ni and Zn were observed to be high in Dongsamdong. Averaged nitrate concentration in Gwaebeopdong (6.36 ${\mu}g/M^3$) was greater than in Dongsamdong(5.68 ${\mu}g/M^3$) and both areas had higher level of nitrate in summer than in fall. Averaged sulfate concentrations in Dongsamdong (25.4%) exhibited elevated level relative to Gwaebeopdong (19.4%). Overall average contribution of water-soluble ions to $PM_{10}$ in Dongsamdong (47.5%) was higher than in Gwaebeopdong (37.8%). The average mass fractions of secondary ions in $PM_{10}$ were elevated in Dongsamdong (37.1%) as compared to Gwaebeopdong (31.4%). Equivalent ratio of [${SO_4}^{2-}/NO_3{^-}$] was seen to be lower in Gwaebeopdong (1.39) than that in Dongsamdong (1.79) and consistently higher in summer than in fall for both areas.

Variation in chemical composition of Asian dusts on Jeju Island related to their inflow pathways during 2010-2015

  • Song, Jung-Min;Bu, Jun-Oh;Ko, Hee-Jung;Kim, Won-Hyung;Kang, Chang-Hee
    • 분석과학
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    • 제30권4호
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    • pp.182-193
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    • 2017
  • In order to examine the variation characteristics of chemical compositions in relation to the inflow pathways of Asian dust, $PM_{10}$ and $PM_{2.5}$ aerosols were collected at Gosan site of Jeju Island during the Asian dust days between 2010 and 2015, and their chemical compositions were analyzed. The mean mass concentrations of $PM_{10}$ and $PM_{2.5}$ during Asian dust days were $130.0{\pm}90.2$ and $38.2{\pm}24.7{\mu}g/m^3$, respectively. The composition ratios of major secondary pollutants ($nss-SO_4{^{2-}}$, $NH_4{^+}$, $NO_3{^-}$) were high as 53.7 % for $PM_{10-2.5}$ and 90.6 % for $PM_{2.5}$. When the Asian dusts had been transported to the Korean Peninsula via Loess Plateau of central China, the concentrations of $nss-Ca^{2+}$, $NH_4{^+}$, $nss-SO_4{^{2-}}$, and $NO_3{^-}$ increased more noticeably. Whereas in case when the inflow pathways of Asian dust had been through the Bohai bay, the concentrations of the crustal species such as Al, Fe, and Ca were relatively high in coarse particles. The atmospheric aerosols were acidified largely by sulfuric and nitric acids. They were neutralized mainly by calcium carbonate in coarse particle mode passed through Manchuria area, but by ammonia in fine particle mode passed through Loess plateau and Bohai bay. Ammonium salts are assumed to exist as ammonium sulfate and ammonium nitrate in coarse particles, but mostly as ammonium sulfate in fine particles.

토착 미생물을 이용한 MTBE와 BTEX의 혐기성 생분해 연구 (A Study on Anaerobic Biodegradation of MTBE and BTEX by Indigenous Microorganisms)

  • 정우진;장순웅
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제21권3호
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    • pp.88-94
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    • 2016
  • The simultaneous biodegradation between MTBE (Gasoline additives) and BTEX (Benzene, Toluene, Ethyl-benzene, o-Xylene, m-Xylene, p-Xylene) was achieved within a competitive inter-relationship, with not only electron accepters such as nitrate, sulfate, and iron(III) without oxygen, but also with electron donors such as MTBE and BTEX. Preexisting indigenous microorganisms from a domestic sample of gasoline contaminated soil was used for a lab-scale batch test. The result of the test showed that the biodegradation rate of MTBE decreased when there was co-existing MTBE and BTEX, compared to having just MTBE present. The growth of indigenous microorganisms was not affected in the case of the MTBE treatment, whereas the growth of the microorganisms was decreased in combined MTBE and BTEX sample. This may indicate that an inhibitor related to biodegradation when BTEX and MTBE are mixed will be found. This inhibitor may be found to retard the anaerobic conditions needed for efficient breakdown of these complex carbon chain molecules in-situ. Moreover, it is also possible that an unknown competitive reaction is being imposed on the interactions between MTBE and BTEX dependent on conditions, ratios of mixture, etc.

Submicron 부유분진의 화학적 조성 및 분포에 관한 연구 (Studies on the Chemical Compositions and Distributions of Ambient Sumicron Aerosols)

  • 황인조;김동술
    • 한국대기환경학회지
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    • 제14권1호
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    • pp.11-23
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    • 1998
  • The purpose of this study was to survey chemical distribution of inorganic elements and ions in the submicron particles, to characterize qualitatively emitting sources by factor analysis, and finally to reveal existing patterns in terms of chemical compounds by a stepwise multiple regression analysis. Total of 141 samples were collected by a cascade impactor from 1989 to1996. Fifteen chemical species (Al, Ba, Cd, K, Pb, Cu, Fe, Ni, $Cl^-, NO_3^-, SO_4^{2-}, K^+, Mg^{2+}, Ca^{2+}, and Na^+$) were characterized by AAS and IC. The study showed that average seasonal levels of submicron particulate matters $(d_p<0.43 \mum)$ were 18.7 $\mug/m^3$ in spring, 15.5 $\mug/m^3$ in summer, 15.7 $\mug/m^3$ in fall, and 24.5 $\mug/m^3$ in winter, respectively. All of the anion concentrations in the particle were highest in the winter season. By applying a factor analysis, 5 source patterns were qualitatively obtained, such as sulfate related source, nitrate related source, oil burning source, calcium related source, and coal combustion source. Finally, when applying a stepwise multiple regression analysis, the results clearly showed that $Na^+ and Ca^{2+}, K^+ and Ca^{2+}, NO_3^-$ and relative humidity, $Cl^-$ and ambient temperature, $Ca^{2+} and Cl^-, Mg^{2+} and SO_4^{2-}, Na^+ and NO_3^-, and Ca^{2+} and NO_3^-$, respectively, are negatively contributed to each other. As a result of those statistical analysis, we could suggest that some chemical compounds in the submicron particles such as$NaNO_3, MgSO_4, Ca(NO_3)_2, and CaCl_2$ may not exist on the filter as final composing products; however, other compounds may possibly exist in the form of $Mg(NO_3)_2, CaSO_4, Na_2SO_4, K_2SO_4, MgCl_2, NaCl, and KCl$. Thus, it must be necessary to identify differences between the results of above statistical analysis and of the real world by laboratory experiments.

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PMF 방법론을 이용한 수원지역 PM-10의 오염원 확인 (Source Identification of PM-10 in Suwon Using the Method of Positive Matrix Factorization)

  • 황인조;김태오;김동술
    • 한국대기환경학회지
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    • 제17권2호
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    • pp.133-145
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    • 2001
  • The receptor modeling is one of the statistical methods to achieve reasonable air pollution strategies. The pur-pose of this study was to survey the concentration variability oi inorganic elements and ionic species in the PM-10 particles, to qualitatively characterize emission sources by an advanced algorithm called positive matrix factoriza-tion(PMF) as a receptor model that can strictly provide results in every loading matrix. A total of 254 samples was collected by a PM-10 high volume air sampler from Mar. 1997 to Feb. 1998 in Kyung Hee University at Suwon Campus. Fourteen chemical species(Zn, Cu, Fe, Pb, Al, Mn, $Na^{+}$, NH$_4$+, $K^{+}$, $Mg^{2+}$, $Ca^{2+}$, $SO_4^{2-}$, $NO_{3}^{-}$, and $Cl^{-}$) were determined by AAS and IC methods. The study results showed that the average monthly concentration of PM-10 particles were 86.3$\mu\textrm{g}$/$\textrm{m}^3$ in March (maximum) and 28.5$\mu\textrm{g}$/$\textrm{m}^3$ in August(minimum), respectively. The concentrations of Na+, NH$_4$+, $K^{+}$ and $Cl^{-}$ in winter, $Mg^{2+}$, $Ca^{2+}$ and $NO_{3}^{-}$, in spring, and $SO_4^{2-}$ in summer showed the largest peak concentration for the respective season. Through and app-lication of a PMF program of Pm-10 concentration data of Suwon, 9 sources were qualitatively identified , such as incineration source, oil burning source, soil related source, open burning source automobile source, coal burning sources, secondary sulfate related source, and secondary nitrate related source.

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PMF 모델을 이용한 미세분진의 오염원 확인과 기여도 추정 : 탄소성분을 이용한 휘발유 및 경유차량 오염원의 분리 (Identifying Ambient PM2.5 Sources and Estimating their Contributions by Using PMF : Separation of Gasoline and Diesel Automobile Sources by Analyzing ECs and OCs)

  • 이형우;이태정;김동술
    • 한국대기환경학회지
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    • 제25권1호
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    • pp.75-89
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    • 2009
  • The purpose of this study was to identify $PM_{2.5}$ sources and to estimate their contributions to the border of Yongin-Suwon area, based on the analysis of the $PM_{2.5}$ mass concentration and the associated inorganic elements, ions and carbon components. The contribution of $PM_{2.5}$ sources were estimated by using a positive matrix factorization (PMF) model to identify air emission sources. For this study, $PM_{2.5}$ samples were collected from May, 2007 to April, 2008. The inorganic elements were analyzed by an ICP-AES. The ionic components in $PM_{2.5}$ were analyzed by an Ie. The carbon components were also analyzed by DRI/OGC analyzer. After performing PMF modeling, a total of 12 sources were identified and their contributions were quantitatively estimated. The contributions from each emission source were as follows: 11.3% from oil combustion source, 3.4% from bus/highway source, 5.8% from diesel vehicle source, 4.7% from gasoline vehicle source, 8.8% from biomass burning source, 15.1 % from secondary sulfate, 5.2% from secondary nitrate source, 13.4% from industrial related source, 4.1% from Cl-rich source, 19.6% from soil related source, 1.0% from aged sea salt, and 7.4% from coal combustion source, respectively. This study provides basic information on the major sources affecting air quality, and then it will help to effectively control $PM_{2.5}$ in this study area.

지하철 전동차 객실에서의 PM10 오염특성 파악에 관한 연구 (A Study for Characteristics of PM10 in the Subway Passenger Cabins)

  • 오미석;박덕신;박은영
    • 한국대기환경학회지
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    • 제27권5호
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    • pp.523-533
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    • 2011
  • This study had the aim of characteristics of $PM_{10}$ in subway cabins. $PM_{10}$ was measured by times of day (rush and non rush hours) and seasons with real time $PM_{10}$ sampler on the subway cabins of line 7. Filter samples were collected for evaluation of their elemental composition as well as identification of major sources of $PM_{10}$ using a receptor model, PMF. $PM_{10}$ concentration were the highest in the winter season both in the rush and non rush hours at 152.8 ${\mu}g/m^3$, 90.2 ${\mu}g/m^3$ respectively. The $PM_{10}$ concentrations in rush hour were 30% higher compared to non rush hours. Based on the chemical information, the composition rare of inorganic elements was 52.5%, anions were 10.2% and others were 37.3%. Fe was the most abundant element and significantly correlated (p.0.01) with Mn (r=0.97), Ti (r=0.91), Cr (r=0.88), Ni (r=0.89) and Cu (r=0.88). Characterized $PM_{10}$ sources by PMF in the cabin were soil and road dust related sources (27.2%), railroad related sources (47.5%), secondary nitrate sources (16.2%) and a Cl-factor mixed with a secondary sulfate source (9.1%).