• Title/Summary/Keyword: Research Areas

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Long-term Variation and Characteristics of Water Quality in the Garolim Coastal Areas of Yellow Sea, Korea (가로림연안 수질환경의 특성과 장기변동)

  • Park, Soung-Yun;Kim, Hyung-Chul;Kim, Pyoung-Joong;Park, Gyung-Soo;Ko, Joen-Young;Jeon, Sang-Baek;Lee, Seung-Min;Park, Jong-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.15 no.4
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    • pp.315-328
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    • 2009
  • Long-term trends and distribution patterns of water quality were investigated in the Garolim coastal areas of Yellow Sea, Korea from 1998 to 2007. Water samples were collected at 3 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids(SS), chemical oxygen demand(COD), dissolved oxygen(DO) and nutrients. Spatial distribution patterns were not clear among stations but the seasonal variations were distinct except pH and ammonia. The trend analysis by principal component analysis(PCA) during twenty years revealed the significant variations in water quality in the study area. Annual water qualities were clearly classified into 4 clusters by PCA; year cluster 1997, 1998 and 2000-2002, 1999 and 2003-2006/2008. By this multi-variate analysis the annual trends were summarized as follows; In recent years, salinity increased, whereas dissolved inorganic nitrogen, nitrate nitrogen and COD decreased and water quality generally continued to be in good condition in Gsrolim coastal areas without inflow of freshwater from land. Garolim coastal areas are required to be conserved continuously as important coastal areas for fisheries.

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Determination of the number of storm events monitoring considering urban stormwater runoff characteristics (도시지역의 강우유출수 특성 분석을 통한 적정모니터링 횟수 도출)

  • Choi, Jiyeon;Na, Eunhye;Kim, Hongtae;Kim, Jinsun;Kim, Yongseck;Lee, Jaekwan
    • Journal of Wetlands Research
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    • v.19 no.4
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    • pp.515-522
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    • 2017
  • This study investigated the runoff characteristics containing NPS pollutants in urban areas and estimated the optimal number of storm events to be monitored. 13 residential areas, 8 commercial areas, 9 transportation areas and 11 industrial areas were selected to be monitored located in urban areas. Monitoring was performed from 2008 to 2016 with a total of 632 rainfall events. As a result, it was found that commercial area needs priority NPS management compared to other landuses because the commercial area has high runoff coefficient and NPS pollutant EMC compared with other landuses. The annual monitoring frequency for each landuse was estimated to be 11 to 14 times for industrial area, 12 to 14 times for transportation area, 11 to 13 times for commercial area and 22 to 25 times for residential area. Even with the use of accumulated monitoring data for several years, there is still high probability of uncertainty due to high error in some pollutant items, and it is necessary to establish monitoring know-how and data accumulation to reduce errors by continuous monitoring.

A Study on the Expanding Protected Areas through Identifying Potential Protected Areas - focusing on the experts' recognition with regard to protected area - (잠재 보호지역 발굴을 통한 국가 보호지역 확대 방안 - 보호지역 부합성에 대한 전문가 인식을 중심으로 -)

  • Heo, Hag Young;Cho, Dong-Gil;Shim, Yun-Jin;Ryu, Yun-Jin;Hong, Jin Pyo;Shim, Gyu-won
    • Korean Journal of Environment and Ecology
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    • v.31 no.6
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    • pp.586-594
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    • 2017
  • This study was carried out to identify the potential protected areas recognized by experts to conform to the international definition of protected areas for effective implementation of CBD Aichi Target-11. A policy forum of 13 experts on the protected area was formed and conducted four forums, two surveys, and examination in the context of international perspective to identify four potential protected areas including the water source protection area, riparian buffer zone, fishery resources protected area, and urban natural park area. Excluding the existing protected areas, the total size of the potential protected areas was about $5,643.9km^2$ composed of the terrestrial areas of $3,117.9km^2$ and the marine areas of $2,526km^2$. As such, we can expect the expansion of coverage of national protected areas by up to 3.11% of the terrestrial land and up to 0.67% of the terrestrial marine area. This study is meaningful in that it provides the fundamental information to achieve the national target of protected areas in response to CBD Aichi Target-11. Further research on improving the protected areas qualitatively and quantitatively and identifying and linking with other effective regional OECM are required to enhance the national protected area system.

Physicochemical Properties of Topsoil Used for River Improvement and Non-Improvement Areas

  • Kim, Won-Tae;Cho, Yong-Hyeon;Yoon, Yong-Han;Kang, Hee-Kyoung;Park, Bong-Ju;Shin, Kyung-Jun;Eo, Yang-Joon;Yoon, Taek-Seong;Jang, Kwang-Eun;Kwak, Moo-Young;Song, Hong-Seon
    • Journal of Environmental Science International
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    • v.22 no.10
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    • pp.1295-1304
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    • 2013
  • This study was carried out to evaluate the physicochemical properties and perform a feasibility analysis of planting material composed of topsoil from river improvement and non-improvement areas. The results showed that the physicochemical properties of topsoil from river improvement areas were on the average sandy loam~loamy sand in soil texture, 5.6~6.8 in pH, 0.01~0.06 dS/m in EC, 0.9~2.1% in OM, 0.02~0.12% in T-N, 8~14 $cmol^+/kg$ in CEC, 0.01~0.08 $cmol^+/kg$ in Ex. $K^+$, 2.55~11.11 $cmol^+/kg$ in Ex. $Ca^{2+}$, 0.34~2.06 $cmol^+/kg$ in Ex. $Mg^{2+}$, and 3~396 mg/kg in Av. $P_2O_5$. And non-improvement areas showed on average sandy clay loam~sand in soil texture, 5.7~6.7 in pH, 0.02~0.08 dS/m in EC, 0.9~4.4% in OM, 0.02~0.23% in T-N, 7~18 $cmol^+/kg$ in CEC, 0.01~0.08 $cmol^+/kg$ in Ex. $K^+$, 3.81~12.67 $cmol^+/kg$ in Ex. $Ca^{2+}$, 0.60~1.95 $cmol^+/kg$ in Ex. $Mg^{2+}$, and 3~171 mg/kg in Av. $P_2O_5$. Meanwhile, the results of an applied valuation of topsoil- based planting were as follows. Ex. $K^+$ levels were low grade in all survey areas. OM was low grade in 12 improvement areas and 11 non-improvement areas. Av. $P_2O_5$ levels were low grade in 10 improvement areas and 10 non-improvement areas. T-N was low grade in six improvement areas and four non-improvement areas. Ex. $Mg^{2+}$ levels were low grade in two improvement areas.

The Effect of Traffic Volume on the Air Quality at Monitoring Sites in Gwangju (광주광역시 대기오염측정소 주변 교통량이 대기질에 미치는 영향)

  • Lee, Dae-Haeng;An, Sang-Su;Song, Hyeong-Myeong;Park, Ok-Hyun;Park, Kang-Soo;Seo, Gwang-Yeob;Cho, Young-Gwan;Kim, Eun-Sun
    • Journal of Environmental Health Sciences
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    • v.40 no.3
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    • pp.204-214
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    • 2014
  • Objectives: Vehicular emissions are one of the main sources of air pollution in urban areas. Correlation analysis was conducted between air pollutants and traffic volume in order to identify causes of air pollution in Gwangju. Methods: Using traffic volumes and air quality monitoring data from 2002 to 2012 from nine stations (seven urban areas, two roadside areas), especially at three sites where traffic volumes were high, the correlation coefficients were obtained between air pollutants as PM-10 (particulate matter), $NO_2$, $SO_2$, CO and $O_3$ at the stations and traffic volumes near the air monitoring stations. Results: Due to traffic volume and distance between the station and the traffic road, concentrations of pollutants at roadside areas were higher than at urban areas, with the exception of $O_3$. The concentration of $O_3$ showed statistically significance with those of other gas materials as $NO_2$, $SO_2$, and CO in winter (p<0.001) and spring (p<0.05). During the period of October 7 to 20, 2012, excluding periods of yellow dust, smog and rainy season, the ratio of $NO/(NO+NO_2)$ showed the highest value 0.57 and 0.40 at Unam and Chipyeong of two roadside stations, followed by 0.35 at Nongseong with vehicular effects. The correlation coefficient between traffic volume and $O_3$, CO, $NO_2$ became higher when the data on mist and haze days were excluded, than when all hourly data were used in that period, at the three sites of Unam, Chipyeong, and Nongseong. Conclusions: Air quality showed a considerable effect from vehicles at roadside areas compared to in urban areas. Air pollutant diminishment strategies need to be aggressively adopted in order to protect atmospheric environment.

Survey of Viral Diseases Occurrence on Major Crops in 2007 (2007년 우리나라 주요 작물 바이러스병 발생 상황)

  • Kim, Jeong-Soo;Lee, Su-Heon;Choi, Hong-Soo;Choi, Guk-Sun;Cho, Jeom-Deog;Chung, Bong-Nam
    • Research in Plant Disease
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    • v.14 no.1
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    • pp.1-9
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    • 2008
  • The severe damage induced by the important viruses of Rice stripe virus (RSV), Cucumber green mottle mosaic virus (CGMMV), Melon necrotic spot virus (MNSV), Tomato spotted wilt virus (TSWV) and Tomato bushy stunt virus (TBSV) was described on major crops in Korea. In 2007, the plot incidence rate of RSV was 100% on the precocious rice cultivars at the Western coastal provinces of Gyeonggido, Chungcheongnamdo, Jellabugdo and Jellanamdo, and Jejudo. RSV occurred in 2,441 ha with incidence rate of 70% over at 5 areas of Seocheon, Seosan, Boryung, Hongsung and Buyou in Chungcheongnamdo. At 4 areas of Buan, Gimje, Gunsan and Gochang in Jellabukdo, RSV occurred in 2.016 ha. CGMMV occurred on watermelon in 4.6 ha at Cheongyang area, and its outbreak was also 890 ha on oriental melon for 120 farmers with the incidence area of 23% against total cultivation areas of Seongju. MNSV was recorded firstly on watermelon in 2006 at Andong and it spread to 3 areas of Hapcheon, Gochang and Yanggu. TSWV occurred firstly at Danggin in Chungcheongnamdo in 2005. TSWV in 2006 spread to 6 areas; Taian, Hongsung and Seosan in Chungcheongnando, Namwon in Jellabukdo, and Sunchon and Kwangju in Jellanamdo. In 2007, TSWV covered 17 areas of western and southern parts; the 5 area including Taian in Chungcheongnamdo, Kwangju in Jellanamdo, Bucheon in Gyunggido, and so forth. TBSV was described firstly on table tomato at Sacheon in Kyungsangnamdo in 2004. TBSV occurred on cherry tomato at Chungju in 2006 and on table tomato at Busan area.

Distribution of Airborne Hexavalent Chromium Concentrations in Large Industrial Complexes in Korea

  • Kang, Byung-Wook;Lee, Hak-Sung;Kim, Jong-Ho;Hong, Ji-Hyung;Kim, Rok-Ho;Seo, Young-Kyo;Han, Jin-Seok;Baek, Kyung-Min;Kim, Min-Ji;Baek, Sung-Ok
    • Asian Journal of Atmospheric Environment
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    • v.10 no.4
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    • pp.208-216
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    • 2016
  • This paper reports the results of a field evaluation which used sampling and analytical methods to determine the levels of airborne hexavalent chromium Cr(VI) in major industrial complexes in Korea over a seven year period (2007-2013). Cr(VI) concentrations were determined using cellulose filter sampling and ion chromatography analysis. In order to validate the analytical performance of these methods, studies were also carried out to investigate data quality control (QC) parameters, such as the method detection limit (MDL), repeatability, and recovery efficiencies. The average concentrations of Cr(VI) for the nine industrial complexes in Korea were in the range of 0.09 to $1.40ng/m^3$, which is similar to of the concentrations in other industrial areas around the world. The impacts of Cr(VI) emissions from industrial areas on Cr(VI) concentrations in neighboring-residential areas were considerably low, and the dispersion of Cr(VI) from industrial areas to residential areas was estimated to be 'not-significant'. Cr(VI) levels were not affected by seasonal variation, which suggests that chromium was emitted continuously from the industrial sources throughout the year. The concentration of Cr(VI) measured accounted for 0.7 to 9.4 percent of the total chromium level, which is a low percentage compared to those in other urban areas around the world. This is the first report in an international journal of a field study conducted in Korea to determine the concentration of Cr(VI) in the ambient air of industrial and residential areas.

Study on the Film Industry Cluster through the Policy Comparison of Regional Film Industry - Focus on the Metropolitan, Busan, Jeonju Areas - (지역 영상산업 정책비교를 통한 영상산업 클러스트 연구 - 수도권, 부산, 전주를 중심으로 -)

  • Kim, Jin-Hae
    • The Journal of the Korea Contents Association
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    • v.8 no.9
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    • pp.115-123
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    • 2008
  • The purpose of this research is how to build the film industry cluster compare with the policies of metropolitan areas and local film industry. This research select four areas including Seoul and Kyunggi areas and Busan, Jeonju. And through the compare with the film industry infra & policies which results in as follows. This research suggest that film industry cluster devided into the two types. The one is the Film Industry Cluster Type and the other is Film Connected Tourism Business Cluster Type. Film Industry Cluster Type is devided into international competitive cities and domestic film industry cities. We suggest that Seoul, Kyunggi and Busan areas are designated to international competitive cities and Jeonju and Daejeon areas are designated to domestical cities. And the kwangwon, Chungcheng, Cheju Areas designated to Film Connected Tourism Business Cluster for location and open set business to improve the local development.

A Review on Multidecadal Coastal Changes at Funafuti, Tuvalu from 1897 to 2015

  • Ahmed, Harun-Al-Rashid;Chan-Su, Yang
    • Korean Journal of Remote Sensing
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    • v.39 no.1
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    • pp.23-45
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    • 2023
  • Tuvalu is a small reef islands country in the Pacific Ocean. Its coastal regions are very much dynamic due to the profound effects of tropical cyclones and sea level rise (SLR). However, research works on coastline dynamics of Tuvalu mainly cover its capital, Funafuti. Therefore, this review summarizes the extent of long-term coastal changes in different islets of Funafuti and on overall Tuvalu. In Funafuti, highly accreting areas are Te Afualiku, Fuafatu, Motugie, and Amatuku, and highly eroding areas are Fuagea and Tefala with the fully disappeared islet of Vasafua after 2005. However, in spite of different causes and supposition of scientists on disappearing these lands the accretion is more dominant than erosion which resulted in 7.3% net increase of land areas of Tuvalu over 117 years till 2015. Severe tropical cyclones mainly caused accretion of land areas by forming coral rubble rampart formation and further reworks and erosion to small sandy islands whereas frequent low-energy cyclones mainly caused erosion. Though, till now severe erosion of coastal areas are not evident by global SLR, islets of Funafuti experienced remarkable shoreline increase as formation of 30-40 m wide rubble rampart formation along 19 km in 1971 by tropical cyclone Bebe and net increase of area of 3.45 ha by tropical cyclone Pam in 2015. In spite of such overall accretion of coastal areas several scientists suspect drowning of its areas in future because of high SLR (~5.1±0.7 mm/year) at Funafuti which supposedly will not work as a breakwater anymore. Thus, protection measures should be taken to prevent coastline erosion as well as land reclamation activities should be done following the global examples.

A Study on Exploring Urban Renewal Areas Using Spatial Density Analysis (공간 밀도분석을 이용한 재정비 대상지 탐색에 관한 연구)

  • Kijung Kim;Seungwook Go;Jinuk Sung
    • Land and Housing Review
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    • v.14 no.2
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    • pp.35-50
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    • 2023
  • The purpose of this study is to identify areas in need of urban renewal by utilizing spatial data and analyzing their types and characteristics. For this, this research employed a kernel density function and K-means cluster analysis with spatial data, through which it sought ways to identify high-demand areas for urban renewal projects. The key findings and implications of the research are summarized as follows. Firstly, this research classified 587 target sites in Seoul based on development density (ratios) and an indicator for aged buildings. Approximately half of these areas were consistent with leading pilot project sites and Accelerated Integration Sites. Secondly, it was observed that residential environments in the designated leading pilot project sites, as decided by public sectors, were relatively poor compared to other areas. Lastly, the target areas for urban renewal were not clearly categorized through statistical analysis. Instead, it was found that categorization should be made depending on the requirements of each project.