• Title/Summary/Keyword: meterological factors

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Difference in Chemical Composition of PM2.5 and Investigation of its Causing Factors between 2013 and 2015 in Air Pollution Intensive Monitoring Stations (대기오염집중측정소별 2013~2015년 사이의 PM2.5 화학적 특성 차이 및 유발인자 조사)

  • Yu, Geun Hye;Park, Seung Shik;Ghim, Young Sung;Shin, Hye Jung;Lim, Cheol Soo;Ban, Soo Jin;Yu, Jeong Ah;Kang, Hyun Jung;Seo, Young Kyo;Kang, Kyeong Sik;Jo, Mi Ra;Jung, Sun A;Lee, Min Hee;Hwang, Tae Kyung;Kang, Byung Chul;Kim, Hyo Sun
    • Journal of Korean Society for Atmospheric Environment
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    • v.34 no.1
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    • pp.16-37
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    • 2018
  • In this study, difference in chemical composition of $PM_{2.5}$ observed between the year 2013 and 2015 at six air quality intensive monitoring stations (Bangryenogdo (BR), Seoul (SL), Daejeon (DJ), Gwangju (GJ), Ulsan (US), and Jeju (JJ)) was investigated and the possible factors causing their difference were also discussed. $PM_{2.5}$, organic and elemental carbon (OC and EC), and water-soluble ionic species concentrations were observed on a hourly basis in the six stations. The difference in chemical composition by regions was examined based on emissions of gaseous criteria pollutants (CO, $SO_2$, and $NO_2$), meteorological parameters (wind speed, temperature, and relative humidity), and origins and transport pathways of air masses. For the years 2013 and 2014, annual average $PM_{2.5}$ was in the order of SL ($${\sim_=}DJ$$)>GJ>BR>US>JJ, but the highest concentration in 2015 was found at DJ, following by GJ ($${\sim_=}SJ$$)>BR>US>JJ. Similar patterns were found in $SO{_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$. Lower $PM_{2.5}$ at SL than at DJ and GJ was resulted from low concentrations of secondary ionic species. Annual average concentrations of OC and EC by regions had no big difference among the years, but their patterns were distinct from the $PM_{2.5}$, $SO{_4}^{2-}$, $NO_3{^-}$, and $NH_4{^+}$ concentrations by regions. 4-day air mass backward trajectory calculations indicated that in the event of daily average $PM_{2.5}$ exceeding the monthly average values, >70% of the air masses reaching the all stations were coming from northeastern Chinese polluted regions, indicating the long-range transportation (LTP) was an important contributor to $PM_{2.5}$ and its chemical composition at the stations. Lower concentrations of secondary ionic species and $PM_{2.5}$ at SL in 2015 than those at DJ and GJ sites were due to the decrease in impact by LTP from polluted Chinese regions, rather than the difference in local emissions of criteria gas pollutants ($SO_2$, $NO_2$, and $NH_3$) among the SL, DJ, and GJ sites. The difference in annual average $SO{_4}^{2-}$ by regions was resulted from combination of the difference in local $SO_2$ emissions and chemical conversion of $SO_2$ to $SO{_4}^{2-}$, and LTP from China. However, the $SO{_4}^{2-}$ at the sites were more influenced by LTP than the formation by chemical transformation of locally emitted $SO_2$. The $NO_3{^-}$ increase was closely associated with the increase in local emissions of nitrogen oxides at four urban sites except for the BR and JJ, as well as the LTP with a small contribution. Among the meterological parameters (wind speed, temperature, and relative humidity), the ambient temperature was most important factor to control the variation of $PM_{2.5}$ and its major chemical components concentrations. In other words, as the average temperature increases, the $PM_{2.5}$, OC, EC, and $NO_3{^-}$ concentrations showed a decreasing tendency, especially with a prominent feature in $NO_3{^-}$. Results from a case study that examined the $PM_{2.5}$ and its major chemical data observed between February 19 and March 2, 2014 at the all stations suggest that ambient $SO{_4}^{2-}$ and $NO_3{^-}$ concentrations are not necessarily proportional to the concentrations of their precursor emissions because the rates at which they form and their gas/particle partitioning may be controlled by factors (e.g., long range transportation) other than the concentration of the precursor gases.

Development of a Forecasting Model for Bacterial Wilt in Hot Pepper (고추 풋마름병 예찰 모형 개발)

  • Kim, Ji-Hoon;Kim, Sung-Taek;Yun, Sung-Chul
    • Research in Plant Disease
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    • v.18 no.4
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    • pp.361-369
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    • 2012
  • A population density model for bacterial wilt, which is caused by Ralstonia solanacearum, in hot pepper was developed to estimate the primary infection date after overwintering in the field. We developed the model mechansitically to predict reproduction of the pathogen and pathogensis on seedlings of the host. The model estimates the pathogen's populations both in the soil and in the host. In order to quantify environmental infection factors, various temperatures and initial population densities were determined for wilt symptoms on the seedlings of hot pepper in a chamber. Once, the pathogens living in soil multiply up to 400 cells/g of soil, they can infect successfully in the host. Primary infection in a host was supposed to be started when the population of the pathogen were over $10^9$ cells/g of root tissue. The estimated primary infection dates of bacterial wilt in 2011 in Korea were mostly mid-July or late-July which were 10-15 days earlier than those in 2010. Two kinds of meterological data, synoptic observation and field measurements from paddy field and orchard in Kyunggi, were operated the model for comparing the result dates. About 1-3 days were earlier from field data than from synoptic observation.

PROGNOSIS OF TREATED INPATIENTS WITH CONDUCT DISORDERS USING A STRUCTURED TELEPHONE FOLLOW-UP INTERVIEW (구조화 전화추적 면담을 이용한 품행장애 입원 치료 환자의 예후)

  • Chae, Jeong-Ho;Moon, Seok-Woo;Lee, Eun-Hoi;Hahm, Woong;Bang, Yang-Weon
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.11 no.2
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    • pp.231-239
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    • 2000
  • Objectives:The major goal of this study was to investigate the treatment outcome of psychiatric treatment in inpatients with conduct disorder and to elucidate factors affecting its prognosis. Methods:We reviewed the medical records of 300 inpatients with conduct disorder who had been treated with a specialized adolescent treatment program. Follow-up structured telephone interview had been performed in 96 patients. Results:1) At the point of follow-up, 90% of the patients were improved in behavioral patterns, 2% of the patients were worse, and 8% of the patients were unchanged. 2) Intrafamilial relationship was improved in 70% of the patients, worse in 2%, and unchanged in 28%. 3) Fifty-seven percent of families thought to be helped by psychiatric inpatient treatment, 6% replied to be harmed, and 37% thought not to be helpful. 4) Comparing the good prognosis group who were all better in behavioral patterns, intrafamilial relationship, and efficacy of treatment with the rest of subjects, the good prognosis group was significantly younger and had more history of problems in familial structure. Conclusion:Although the present study had some meterological limits, the promising positive results in the outcome of inpatients with conduct disorder encourages further more sophisticated investigations in this problematic psychiatric conditions.

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Spatio-Temporal Patterns of Extreme Precipitation Events by Typhoons Across the Republic of Korea (태풍 내습 시 남한의 극한강수현상의 시.공간적 패턴)

  • Lee, Seung-Wook;Choi, Gwangyong
    • Journal of the Korean association of regional geographers
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    • v.19 no.3
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    • pp.384-400
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    • 2013
  • In this study, spatio-temporal patterns of extreme precipitation events caused by typhoons are examined based on observational daily precipitation data at approximately 340 weather stations of Korea Meterological Administration's ASOS (Automated Synoptic Observation System) and AWS (Automatic Weather System) networks for the recent 10 year period (2002~2011). Generally, extreme precipitation events by typhoons exceeding 80mm of daily precipitation commonly appear in Jeju Island, Gyeongsangnam-do, and the eastern coastal regions of the Korean Peninsula. However, the frequency, intensity and spatial extent of typhoon-driven extreme precipitation events can be modified depending on the topography of major mountain ridges as well as the pathway of and proximity to typhoons accompanying the anti-clockwise circulation of low-level moisture with hundreds of kilometers of radius. Yellow Sea-passing type of typhoons in July cause more frequent extreme precipitation events in the northern region of Gyeonggi-do, while East Sea-passing type or southern-region-landfall type of typhoons in August-early September do in the interior regions of Gyeongsangnam-do. These results suggest that when local governments develop optimal mitigation strategies against potential damages by typhoons, the pathway of and proximity to typhoons are key factors.

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Characteristic of Environmental Factors Related to Outbreak and Decline of Cochlodinium polykrikoides Bloom in the southeast coastal waters of Korea, 2007 (2007년 남해동부해역의 Cochlodinium polykrikoides 적조 발생과 소멸에 미치는 환경 특성)

  • Lim, Weol-Ae;Lee, Young-Sik;Lee, Sam-Geun
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.13 no.4
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    • pp.325-332
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    • 2008
  • To characterize the initiation, propagation and termination of Cochlodinium polykrikoides blooms in the southeast coastal waters of Korea, 2007, we have analyzed the data set of phytoplankton composition, physical and chemical water properties, and meterological data. The development of C. polykrikoides bloom in 2007 can be summarized in three steps. The first stage from middle of July to end of August was characterized by an unusually persistent and strong southerly wind. C. polykrikoides blooms established already by the strong wind in the middle of south coastal waters were advected intermittently into the study area. Accordingly, highly variable cell densities of C. polykrikoides were observed. At the second stage a favorable growing conditions for C. polykrikoides was developed, which was directed by changes in wind direction from south to northeast and thus enhanced transportation of offshore waters into inshore (August 8 to 30). C. polykrikoides bloom occurred through typical mechanism and showed high cell density. The last stage was represented by disappearance of C. polykrikoides. Typoon 'Nari' carrying heavy rain brought an unfavorable habitat to C. polykrikoides. Low saline condition formed in coastal water due to typoon effects continuously drove the dominant species to diatoms and flagellates which were prevailing over C. polykrikoides in this circumstances(from the middle of September). These stepwise processes could be the causative mechanism of the extraordinarily persistent C. polykrikoides bloom observed in southeast coastal water of Korea, 2007.

Correlation Coefficients between Pine Mushroom Emergence and Meteorological Elements in Yangyang County, Korea (양양지역 송이 발생과 기상요소의 상관관계)

  • Shim, Kyo-Moon;Ko, Cheol-Soon;Lee, Yang-Soo;Kim, Gun-Yeob;Lee, Jeong-Taek;Kim, Soon-Jung
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.9 no.3
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    • pp.188-194
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    • 2007
  • The relationships between pine mushroom emergence and meteorological factors were analyzed with three years (from 2003 to 2005) of measurement data at Yangyang site, in order to evaluate the effect of micrometeorological environment on pine mushroom production. fine mushroom was daily monitored and collected in the survey area during the its producing period (approximately one month). Pine mushroom production was highest in 2005 with the meteorological conditions of high temperature and frequent rainfalls in October. The production was lowest in 2004 due to dry conditions from mid September to late October, The meterological factors related to humidity (i.e., relative humidity, soil water content, and precipitation) were better correlated than those related to temperature (i.e., air and soil temperature, soil heat flux and solar radiation) with pine mushroom production. However, all of the correlation coefficients were statistically insignificant with values ranging from 0.15 to 0.46. Such poor correlations may be attributed to various other environmental conditions (e.g., topography, soil, vegetation, other fungi, the relationship between pine mushroom and pine forest) affecting pine mushroom production. We found that a mycelium requires a stimulation of low temperature (of three-day moving average) below $19.5^{\circ}C$, in order to farm a mushroom primordium which grows to pine mushroom after 16 days from the stimulation. We also found that the pine mushroom production ended when the soil temperature (of three-day moving average) fell below $14.0^{\circ}C$.

Variation of Panicle Differentiation Stage by Leaf Growth According to Rice Cultivars and Transplanting Time (품종과 이앙시기별 엽 생장속도에 의한 벼의 유수분화시기 변화)

  • Ku, Bon-Il;Kang, Shin-Ku;Sang, Wan-Gyu;Choi, Min-Kyu;Lee, Kyu-Jone;Park, Hong-Kyu;Kim, Young-Doo;Kim, Bo-Kyong;Lee, Jeom-Ho
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.58 no.4
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    • pp.353-361
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    • 2013
  • The time of panicle initiation change by transplanting date, and this change is affected by heading ecotype and seedling age. So we assessed the variations of panicle initiation, spikelet differentiation and heading date affected by transplanting dates, rice cultivars and seedling ages. And we compared the growth durations and meterological factors between chief growth stages. The differences of growth duration from transplanting date to spikelet differentiation by seedling age were 1~3 days in all transplanting of Unkwang, but it increased to 4 days in Hwayeong transplanting on May 1 and June 30, and Nampyeong transplanting on June 30. The growth durations from panicle initiation to heading of Unkwang and Hwayeong increased until transplanting time by May 31, and decreased thereafter. The growth durations of Nampyeong increased in transplanting on May 16 and May 31. In each transplanting, mean temperature of 30 days after heading was highest in early transplanting, but sunshine hours in the period were highest in transplanting on June 30 in Unkwang, in transplanting on June 15 in Hwayeong, and higher in transplanting on May 31 and June 15 in Nampyeong. The growth duration between spikelet differentiation and heading showed variation according to rice cultivars and transplanting date, Those were 22~26 days in Unkwang, 21~27 days in Hwayeong and 21~28 days in Nampyeong.

Net Primary Production Changes over Korea and Climate Factors (위성영상으로 분석한 장기간 남한지역 순 일차생산량 변화: 기후인자의 영향)

  • Hong, Ji-Youn;Shim, Chang-Sub;Lee, Moung-Jin;Baek, Gyoung-Hye;Song, Won-Kyong;Jeon, Seong-Woo;Park, Yong-Ha
    • Korean Journal of Remote Sensing
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    • v.27 no.4
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    • pp.467-480
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    • 2011
  • Spatial and temporal variabilities of NPP(Net Primary Production) retrieved from two satellite instruments, AVHRR(Advanced Very High Resolution Radiometer, 1981-2000) and MODIS(MODerate-resolution Imaging Spectroradiometer, 2000-2006), were investigated. The range of mean NPP from A VHRR and MODIS were estimated to be 894-1068 $g{\cdot}C/m^2$/yr and 610-694.90 $g{\cdot}C/m^2$/yr, respectively. The discrepancy of NPP between the two instruments is about 325 $g{\cdot}C/m^2$/yr, and MODIS product is generally closer to the ground measurement than AVHRR despite the limitation in direct comparison such as spatial resolution and vegetation classification. The higher NPP values over South Korea are related to the regions with higher biomass (e.g., mountains) and higher annual temperature. The interannual NPP trends from the two satellite products were computed, and both mean annual trends show continuous NPP increase; 2.14 $g{\cdot}C/m^2$/yr from AVHRR(1981-2000) and 6.08 $g{\cdot}C/m^2$/yr from MODIS (2000-2006) over South Korea. Specifically, the higher increasing trends over the Southwestern region are likely due to the increasing productivity of crop fields from sufficient irrigation and fertilizer use. The retrieved NPP shows a closer relationship between monthly temperature and precipitation, which results in maximum correlation during summer monsoons. The difference in the detection wavelength and model schemes during the retrieval can make a significant difference in the satellite products, and a better accuracy in the meterological and land use data and modeling applications will be necessary to improve the satellite-based NPP data.