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Heavy Metals and Pollution Index of Agricultural Soils Around Industrial Complexes in the Jeon-Buk Regions of Korea
pISSN : 2466-2402 eISSN : 2466-2410 FOOD & CHEMISTRY Heavy metals and pollution index of agricultural soils around industrial complexes in the Jeon-Buk regions of Korea * Sorakon Suwanmanon, Ki In Kim Department of Horticultural Science, Mokpo National University, Muan 58554, Korea * Corresponding author: [email protected] Abstract The aim of this study was to evaluate heavy metal contamination and pollution index of agricultural soils around industrial complexes in the Jeon-Buk Regions of Korea. Soil samples near industrial complexes in 2017 were collected at two depths (0 - 15 and 15 - 30 cm) within a 500- and 1000-meter radius before planting. Eight heavy metals (Arsenic (As), cadmium (Cd), chromium (Cr), Cupper (Cu), nickel (Ni), lead (Pb), mercury (Hg) and zinc (Zn)) and the pollution index (PI), geoaccumulation index (Igeo) and soil pollution index (SPI) were evaluated based on soil contamination warning standard (SCWS). Overall, the heavy metal concentrations were below the SCWS. The PI ranged from 0.1 to 0.9 and categorized into Group 1 which is not polluted with any heavy metals. The average Igeo values of all the soil samples ranged from - 2.56 to 3.22. The Igeo values of Cd and Hg may not represent well the pollution index because the heavy metal concentrations in the soil is lower compared to the SCWS. In fact, based on the heavy metal concentrations, the Igeo for monitored soils should be categorized into Group 1, uncontaminated to moderately contaminated. However, the Igeo of Cd and Hg are classified into heavily contaminated. These results suggest that for OPEN ACCESS calculating the Igeo, the heavy metal concentration and background concentration should be Citation: Suwanmanon S, Kim KI. -
Healthy City Profile Jeonju, Republic of Korea
Healthy City Profile Jeonju, Republic of Korea 2006. 10 Jeonju City Healthy City Profile Jeonju, Republic of Korea 2006. 10 Jeonju City Jeonju City Health Profile Submitted by : Jeonju City Submitted on : . October 2006 Submitted to : WHO Regional Office for the Western Pacific Acting Regional Adviser in Health Promotion P.O. Box 2932(UN Avenue) 1000 MANILA Proposed Prepared by 1) Jeonju City Healthy City Coordinator & Contact Person : Director of Pulic Health Center, Jeonju City, Republic of Korea Contact Person : Tel. +82-63-230-5200 Fax. +82-63-230-5199 E-mail: [email protected] In Collaboration with: 2) Chonbuk National University Medical School Department of Preventive Medicine and Public Health San 2-20, Keumam-dong, Dukjin-gu Jeonju, Jeonbuk, 561-180, Republic of Korea Contact Person : Prof. KeunSang Kwon [email protected] Tel. +82 63 270 3137 Fax. +82 63 274 9881 Table of CONTENTS Declaration of Healthy city Jeonju ………………… 1 Future Vision and Goals ………………… 2 Jeonju's Health Profile ………………… 3 Chapter 1. History and Geography of Jeonju ………………… 3 Chapter 2. Symbol and Mascot of Jeonju ………………… 5 Chapter 3. Administrative Structure of Jeonju City ………………… 6 Chapter 4. Demographic characteristics of Jeonju ………………… 7 Chapter 5. General Health Status ………………… 10 Chapter 6. Health behaviors ………………… 13 Chapter 7. Public health policies and services ………………… 17 Chapter 8. Physical environments ………………… 20 Chapter 9. Physical infrastructure ………………… 22 Priority Health Problems of Jeonju ………………… 25 Toward Healthy City Jeonju ………………… 26 1. Health City Jeonju Programs & Approach ………………… 26 2. Life Style Modification Programs(2004-2005) ………………… 27 Index of Table Table 1. Population structure by age and sex, 2004 ………………… 7 Table 2. -
Development of Streamflow Drought Severity-Duration-Frequency
1 Development of Streamflow Drought Severity-Duration-Frequency 2 Curves Using the Threshold Level Method 3 4 Jang Hyun Sung1, Eun-Sung Chung2 5 1 6 Ministry of Land, Infrastructure and Transport, Yeongsan River Flood Control Office, 7 Gwangju, Republic of Korea 8 2Department of Civil Engineering, Seoul National University of Science & Technology, 9 Seoul, 139-743, Republic of Korea 10 11 Abstract 12 This study developed a streamflow drought severity-duration-frequency (SDF) curve 13 that is analogous to the well-known depth-duration-frequency (DDF) curve used for rainfall. 14 Severity was defined as the total water deficit volume to target threshold for a given drought 15 duration. Furthermore, this study compared the SDF curves of four threshold level methods: 16 fixed, monthly, daily, and desired yield for water use. The fixed threshold level in this study th 17 is the 70 percentile value ( Q70 ) of the flow duration curve (FDC), which is compiled using 18 all available daily streamflows. The monthly threshold level is the monthly varying Q70 19 values of the monthly FDC. The daily variable threshold is Q70 of the FDC that was obtained 20 from the antecedent 365 daily streamflows. The desired-yield threshold that was determined 21 by the central government consists of domestic, industrial, and agricultural water uses and 22 environmental instreamflow. As a result, the durations and severities from the desired-yield 23 threshold level were completely different from those for the fixed, monthly and daily levels. 24 In other words, the desired-yield threshold can identify streamflow droughts using the total 25 water deficit to the hydrological and socioeconomic targets, whereas the fixed, monthly, and 26 daily streamflow thresholds derive the deficiencies or anomalies from the average of the 27 historical streamflow. -
A Study of Perceptions of How to Organize Local Government Multi-Lateral Cross- Boundary Collaboration
Title Page A Study of Perceptions of How to Organize Local Government Multi-Lateral Cross- Boundary Collaboration by Min Han Kim B.A. in Economics, Korea University, 2010 Master of Public Administration, Seoul National University, 2014 Submitted to the Graduate Faculty of the Graduate School of Public and International Affairs in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2021 Committee Membership Page UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC AND INTERNATIONAL AFFAIRS This dissertation was presented by Min Han Kim It was defended on February 2, 2021 and approved by George W. Dougherty, Jr., Assistant Professor, Graduate School of Public and International Affairs William N. Dunn, Professor, Graduate School of Public and International Affairs Tobin Im, Professor, Graduate School of Public Administration, Seoul National University Dissertation Advisor: B. Guy Peters, Maurice Falk Professor of American Government, Department of Political Science ii Copyright © by Min Han Kim 2021 iii Abstract A Study of Perceptions of How to Organize Local Government Multi-Lateral Cross- Boundary Collaboration Min Han Kim University of Pittsburgh, 2021 This dissertation research is a study of subjectivity. That is, the purpose of this dissertation research is to better understand how South Korean local government officials perceive the current practice, future prospects, and potential avenues for development of multi-lateral cross-boundary collaboration among the governments that they work for. To this purpose, I first conduct literature review on cross-boundary intergovernmental organizations, both in the United States and in other countries. Then, I conduct literature review on regional intergovernmental organizations (RIGOs). -
List of Counties of South Korea
SNo County Province 1 Gijang County Busan (Metropolitan city) 2 Dalseong County Daegu (Metropolitan city) 3 Ganghwa County Incheon (Metropolitan city) 4 Ongjin County Incheon (Metropolitan city) 5 Ulju County Ulsan (Metropolitan city) 6 Gapyeong County Gyeonggi 7 Yangpyeong County Gyeonggi 8 Yeoncheon County Gyeonggi 9 Cheorwon County Gangwon 10 Goseong County Gangwon 11 Hoengseong County Gangwon 12 Hongcheon County Gangwon 13 Hwacheon County Gangwon 14 Inje County Gangwon 15 Jeongseon County Gangwon 16 Pyeongchang County Gangwon 17 Yanggu County Gangwon 18 Yangyang County Gangwon 19 Yeongwol County Gangwon 20 Boeun County North Chungcheong 21 Cheongwon County North Chungcheong 22 Danyang County North Chungcheong 23 Eumseong County North Chungcheong 24 Goesan County North Chungcheong 25 Jincheon County North Chungcheong 26 Okcheon County North Chungcheong 27 Jeungpyeong County North Chungcheong 28 Yeongdong County North Chungcheong 29 Buyeo County South Chungcheong 30 Cheongyang County South Chungcheong 31 Geumsan County South Chungcheong 32 Hongseong County South Chungcheong 33 Seocheon County South Chungcheong 34 Taean County South Chungcheong 35 Yesan County South Chungcheong 36 Buan County North Jeolla 37 Gochang County North Jeolla 38 Imsil County North Jeolla 39 Jangsu County North Jeolla 40 Jinan County North Jeolla 41 Muju County North Jeolla 42 Sunchang County North Jeolla 43 Wanju County North Jeolla 44 Boseong County South Jeolla 45 Damyang County South Jeolla 46 Gangjin County South Jeolla 47 Goheung County South Jeolla 48 -
Development of a Streamflow Drought Severity-Duration-Frequency
1 Development of a Streamflow Drought Severity-Duration-Frequency 2 Curve Using a Threshold Level Method 3 4 Jang Hyun Sung1, Eun-Sung Chung2 5 1 6 Ministry of Land, Infrastructure and Transport, Yeongsan River Flood Control Office, 7 Gwangju, Republic of Korea 8 2Department of Civil Engineering, Seoul National University of Science & Technology, 9 Seoul, 139-743, Republic of Korea 10 11 Abstract 12 This study developed a streamflow drought severity-duration-frequency (SDF) curve 13 that is analogous to the well-known depth-duration-frequency curve used for rainfall. Severity 14 was defined as the total water deficit volume to target threshold for a given drought duration. 15 The fixed and variable threshold level methods were introduced to set the target instreamflow 16 requirement, which can significantly affect the streamflow drought severity. The four 17 threshold levels utilized were the fixed, monthly, daily, and desired yield for water use. The th 18 fixed threshold level in this study is the 70 percentile value (Q70 ) of the flow duration curve 19 (FDC), which is compiled using all the available daily streamflows, and the monthly 20 threshold level is the monthly-varying Q70 s of each month’s FDC. The daily variable 21 threshold is the Q70 of the FDC obtained from the antecedent 365 daily streamflows. The 22 desired yield threshold determined by the central government consists of domestic, industrial, 23 and agricultural water uses as well as environmental instreamflow. As a result, the desired 24 yield threshold can identify streamflow droughts using the total water deficit to the 25 hydrological and socioeconomic targets, while the fixed, monthly, and daily streamflow 26 thresholds derive the deficiencies or anomalies from the average of historical streamflow.