Construction of Aquatic Environmental Database Near Wolsong Nuclear Power Plant 월성 원전 주변 수생 환경 자료 구축
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Simulation of a High Speed Counting System for Sic Neutron Sensors
Transactions of the Korean Nuclear Society Autumn Meeting Gyeongju, Korea, October 27-28, 2011 Measurement of the Indoor Radon Concentrations in the School Auditoriums in Gyeongju S. Y. Jang Dongguk University, 707 Seokjang-dong, Gyeong-ju, Gyeong-buk, Korea *Corresponding author: [email protected] 1. Introduction The school auditoriums to be measured were composed of sampling one auditorium in each district. Radon is a naturally-occurring radioactive gas, which The summary of the buildings to be measured in this is produced by radioactive decays of radium found in study is shown in Table 1. trace amounts in all soils as well as building materials. Radon is likely to get into the buildings mainly through Table 1 Summary of the buildings to be measured cracks in floors or gaps around pipes of cables. The previous study shows that the risk of Radon is Administrative area School evident even at low-levels. Long-term exposure to high 1 Hwangseong-dong Yonghwang Elementary School levels of radon can increase the risk of lung cancer. [1] 2 Wolseong-dong Seondeok Girls' High school Due to the health risk, the U.S. Environmental Protection Agency (EPA) has recommended the action 3 Yonggang-dong Hwangsung Elementary School level of 148 Bq/m3. Korea has also referenced the U.S. 4 Seonggeon-dong Heungmu Elementary School EPA action level as the radon standard for the multi- 5 Seo-myeon Ahwa Elementary School purpose facilities since 2008, and has made the 6 Sannae-myeon Uigok Elementary School nationwide survey of the indoor radon concentrations 7 Hyeongok-myeon Geumjang Elementary School periodically. -
28, 2013, Phoenix, Arizona, USA Radon Concentration In
WM2013 Conference, February 24 – 28, 2013, Phoenix, Arizona, USA Radon Concentration in Groundwater in the Central Region of Gyeongju, Korea - 13130 Jung Min Lee 1, A Rim Lee 1, Chan Hee Park 1, and Joo Hyun Moon 1* 1 Dongguk University, Seokjangdong, Gyeongju, Gyeongbuk, 780-714, Republic of Korea ABSTRACT Radon is a naturally occurring radioactive gas that is a well known cause of lung cancer through inhalation. Nevertheless, stomach cancer can also occur if radon-containing water is ingested. This study measured the radon concentration in groundwater for drinking or other domestic uses in the central region of Gyeongju, Korea. The groundwater samples were taken from 11 points chosen from the 11 administrative districts in the central region of Gyeongju by selecting a point per district considering the demographic distribution including the number of tourists who visit the ancient ruins and archaeological sites. The mean radon concentrations in the groundwater samples ranged from 14.38 to 9050.73 Bq·m-3, which were below the recommendations by the U.S. EPA and WHO. Key words: Radon, naturally occurring radioactive gas, groundwater, Gyeongju INTRODUCTION Radon gas is a naturally occurring radioactive gas that is formed in the decay series of uranium and thorium. Since both these series are ubiquitous, radon gas is produced continually in all soils depending on the concentration of uranium or thorium. [1, 2] A portion of the radon released by radioactive decay moves through the air or water-filled pores in the soil to the soil surface and enters the air, whereas some remains below the surface and dissolves in the groundwater. -
2004년 12월 31일 기준 외국인등록인구 계 남 여 00 0 전국 469 183 278
2004년 12월 31일 기준 외국인등록인구 외국인 시도 행정코드 LEVEL 행정구역명 계 남 여 00 0 전국 469 183 278 377 190 806 11 1100000000 1 서울특별시 114 685 54 066 60 619 11 1111000000 2 종로구 4 202 1 843 2 359 11 1111051000 4 청운동 158 72 86 11 1111052000 4 효자동 87 34 53 11 1111053000 4 사직동 321 157 164 11 1111054000 4 삼청동 126 61 65 11 1111055000 4 부암동 85 45 40 11 1111056000 4 평창동 308 145 163 11 1111057000 4 무악동 49 19 30 11 1111058000 4 교남동 123 68 55 11 1111060000 4 가회동 149 58 91 11 1111061500 4 종로1.2.3.4가동 705 278 427 11 1111063000 4 종로5·6가동 241 92 149 11 1111064000 4 이화동 416 178 238 11 1111065000 4 혜화동 181 76 105 11 1111066000 4 명륜3가동 160 69 91 11 1111067000 4 창신1동 441 175 266 11 1111068000 4 창신2동 151 58 93 11 1111069000 4 창신3동 46 24 22 11 1111070000 4 숭인1동 354 183 171 11 1111071000 4 숭인2동 101 51 50 11 1114000000 2 중구 4 614 2 053 2 561 11 1114052000 4 소공동 368 224 144 11 1114054000 4 회현동 634 331 303 11 1114055000 4 명동 494 201 293 11 1114057000 4 필동 216 78 138 11 1114058000 4 장충동 246 98 148 11 1114059000 4 광희동 452 183 269 11 1114060000 4 을지로3·4·5가동 157 71 86 11 1114061000 4 신당1동 849 337 512 11 1114062000 4 신당2동 184 77 107 11 1114063000 4 신당3동 166 79 87 11 1114064000 4 신당4동 107 44 63 11 1114065000 4 신당5동 178 79 99 11 1114066000 4 신당6동 113 53 60 11 1114067000 4 황학동 244 107 137 11 1114068000 4 중림동 206 91 115 11 1117000000 2 용산구 8 963 4 703 4 260 11 1117051000 4 후암동 278 115 163 11 1117052000 4 용산2가동 586 384 202 11 1117053000 4 남영동 275 125 150 11 1117054000 4 청파1동 259 104 155 11 1117055000 4 청파2동 105 29 76 11 1117056000 4 원효로1동 107 44 63 11 1117057000 4 원효로2동 178 78 100 11 1117058000 -
Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest
sustainability Article Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest Jihye Han 1 , Jinsoo Kim 2,*, Soyoung Park 1, Sanghun Son 3 and Minji Ryu 3 1 Geomatics Research Institute, Pukyong National University, 45 Yongso-ro, Busan 48513, Korea; [email protected] (J.H.); [email protected] (S.P.) 2 Department of Spatial Information System, Pukyong National University, 45 Yongso-ro, Busan 48513, Korea 3 Division of Earth Environmental System Science (Major of Spatial Information Engineering), Pukyong National University, 45 Yongso-ro, Busan 48513, Korea; [email protected] (S.S.); [email protected] (M.R.) * Correspondence: [email protected]; Tel.: +82-51-629-6658 Received: 21 August 2020; Accepted: 20 September 2020; Published: 21 September 2020 Abstract: The main purpose of this study was to compare the prediction accuracies of various seismic vulnerability assessment and mapping methods. We applied the frequency ratio (FR), decision tree (DT), and random forest (RF) methods to seismic data for Gyeongju, South Korea. A magnitude 5.8 earthquake occurred in Gyeongju on 12 September 2016. Buildings damaged during the earthquake were used as dependent variables, and 18 sub-indicators related to seismic vulnerability were used as independent variables. Seismic data were used to construct a model for each method, and the models’ results and prediction accuracies were validated using receiver operating characteristic (ROC) curves. The success rates of the FR, DT, and RF models were 0.661, 0.899, and 1.000, and their prediction rates were 0.655, 0.851, and 0.949, respectively. -
Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: a Case Study of the 12 September 2016 ML5. 8 Gyeongju
sustainability Article Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: A Case Study of the 12 September 2016 ML5.8 Gyeongju Earthquake, South Korea Jihye Han 1 , Soyoung Park 2, Seongheon Kim 1, Sanghun Son 1, Seonghyeok Lee 1 and Jinsoo Kim 3,* 1 Division of Earth Environmental System Science (Major of Spatial Information Engineering), Pukyong National University, 45 Yongso-ro, Busan 48513, Korea; [email protected] (J.H.); [email protected] (S.K.); [email protected] (S.S.); [email protected] (S.L.) 2 BK21 Plus Project of the Graduate School of Earth Environmental Hazards System, Pukyong National University, 45 Yongso-ro, Busan 48513, Korea; [email protected] 3 Department of Spatial Information System, Pukyong National University, 45 Yongso-ro, Busan 48513, Korea * Correspondence: [email protected]; Tel.: +82-51-629-6658 Received: 27 September 2019; Accepted: 5 December 2019; Published: 9 December 2019 Abstract: In this study, we performed seismic vulnerability assessment and mapping of the ML5.8 Gyeongju Earthquake in Gyeongju, South Korea, as a case study. We applied logistic regression (LR) and four kernel models based on the support vector machine (SVM) learning method to derive suitable models for assessing seismic vulnerabilities; the results of each model were then mapped and evaluated. Dependent variables were quantified using buildings damaged in the 9.12 Gyeongju Earthquake, and independent variables were constructed and used as spatial databases by selecting 15 sub-indicators related to earthquakes. Success and prediction rates were calculated using receiver operating characteristic (ROC) curves. The success rates of the models (LR, SVM models based on linear, polynomial, radial basis function, and sigmoid kernels) were 0.652, 0.649, 0.842, 0.998, and 0.630, respectively, and the prediction rates were 0.714, 0.651, 0.804, 0.919, and 0.629, respectively. -
Discovery of Korean Indigenous Species” (2006-2010)
Journal172 of Species Research 6(Special Edition):172-176,JOURNAL OF2017 SPECIES RESEARCH Vol. 6, Special NEditionOTE Unrecorded species of Korean ciliates (Protozoa, Ciliophora) discovered through the project of “Discovery of Korean Indigenous Species” (2006-2010) Mi-Hyun Park1, Yeong-Deok Han1, Choon Bong Kwon2, Eun Sun Lee2, Ji Hye Kim2,3, Youn Seung Kang2, Se-Joo Kim4, Hee-Min Yang1, Taeseo Park5, Jung-Sun Yoo5, Hyun-Jong Kil5, Eunjung Nam5, Mann Kyoon Shin2,* and Gi-Sik Min1,* 1Department of Biological Sciences, Inha University, Incheon 22212, Republic of Korea 2Department of Biological Sciences, University of Ulsan, Ulsan 44610, Republic of Korea 3Department of Biology, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea 4Korean Bioinformation Center, Korea Research Institute Bioscience and Biotechnology, Daejeon 34141, Republic of Korea 5Animal Resources Division, National Institute of Biological Resources, Incheon 22689, Republic of Korea *Correspondent: [email protected], [email protected] In this list-format paper, we present unrecorded species of Korean ciliates (phylum Ciliophora). All species were selected from the final reports of the project: “Discovery of Korean Indigenous Species”. This project has been carried out to discover and record various Korean indigenous species since 2006 and is funded by the National Institute of Biological Resources (NIBR). Among the various species, ciliates were a major taxon that was highlighted in this project as a speciose group categorized under Protozoa. This paper contains reports of 38 ciliates (8 classes, 16 orders, 23 families, and 34 genera) observed in Korea during the initial five years of the project (2006-2010). Keywords: Korea, National Institute of Biological Resources (NIBR), new records Ⓒ 2017 National Institute of Biological Resources DOI:10.12651/JSR.2017.6(S).172 INTRODUCTION project from 2006-2010.