• Title/Summary/Keyword: Regional Production Data

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Calculating Soil Quality Index for Biomass Production Based on Soil Chemical Properties

  • Kim, Sung-Chul;Hong, Young Kyu;Lee, Sang Phil;Oh, Seung Min;Lim, Kyung Jae;Yang, Jae E.
    • Korean Journal of Soil Science and Fertilizer
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    • v.50 no.1
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    • pp.56-64
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    • 2017
  • Soil quality has been regarded as an important factor for maintaining sustainability of ecosystem. Main purpose of this research was i) to select minimum factor for predicting biomass, and ii) to calculate soil quality index for biomass according to soil chemical properties. Result showed that soil pH, electrical conductivity (EC), soil organic matter (SOM), cation exchange capacity (CEC), and available phosphorus are minimum data set for calculating biomass production in soil. Selected representative soil chemical properties were evaluated for soil quality index and rated from 1 to 5 (1 is the best for biomass production). Percentage of each grade in terms of biomass production in national wide was 14.52, 35.23, 33.03, 6.47, 10.75% respectively. Although, only soil chemical properties were evaluated for calculating optimum soil quality, result of this research can be useful to understand basic protocol of soil quality assessment in national wide.

Regional irrigation control modeling and regional climate characteristics Research on the correlation (지역별 관수제어 모델링 및 지역별 기후 특성과의 연관성에 관한 연구)

  • Jeong, Jin-Hyoung;Jo, Jae-Hyun;Kim, Seung-Hun;Choi, Ahnryul;Lee, Sang-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.184-192
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    • 2021
  • Domestic agriculture is facing real problems, such as a decrease in the population in rural areas, a shortage of labor due to an aging population, and increased risks due to the deepening of climate change. Smart farming technology is being developed to solve these problems. In the development of smart agricultural technology, irrigation control plays an important role in creating an optimal growth environment and is an important issue in terms of environmental protection. This paper is about the study of collecting and analyzing the rhizosphere environmental data of domestic paprika farms for the purpose of improving the quality of crops, reducing production costs, and increasing production. Irrigation control modeling presented in this paper Control modeling is to graphically present changes in a medium weight, feed, and drainage due to regional climatic features. To derive the graph, the parameters were determined through data collection and analysis, and the suggested irrigation control modeling method was applied to the collected rhizosphere environmental data to control irrigation in 6 regions (Gangwon-do, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, and Gyeongnam). The parameters were obtained and graphs were derived from them. After that, a study was conducted to analyze the derived parameters to verify the validity of the irrigation control modeling method and to correlate them with climatic features (average temperature and precipitation).

Improvement in Seasonal Prediction of Precipitation and Drought over the United States Based on Regional Climate Model Using Empirical Quantile Mapping (경험적 분위사상법을 이용한 지역기후모형 기반 미국 강수 및 가뭄의 계절 예측 성능 개선)

  • Song, Chan-Yeong;Kim, So-Hee;Ahn, Joong-Bae
    • Atmosphere
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    • v.31 no.5
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    • pp.637-656
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    • 2021
  • The United States has been known as the world's major producer of crops such as wheat, corn, and soybeans. Therefore, using meteorological long-term forecast data to project reliable crop yields in the United States is important for planning domestic food policies. The current study is part of an effort to improve the seasonal predictability of regional-scale precipitation across the United States for estimating crop production in the country. For the purpose, a dynamic downscaling method using Weather Research and Forecasting (WRF) model is utilized. The WRF simulation covers the crop-growing period (March to October) during 2000-2020. The initial and lateral boundary conditions of WRF are derived from the Pusan National University Coupled General Circulation Model (PNU CGCM), a participant model of Asia-Pacific Economic Cooperation Climate Center (APCC) Long-Term Multi-Model Ensemble Prediction System. For bias correction of downscaled daily precipitation, empirical quantile mapping (EQM) is applied. The downscaled data set without and with correction are called WRF_UC and WRF_C, respectively. In terms of mean precipitation, the EQM effectively reduces the wet biases over most of the United States and improves the spatial correlation coefficient with observation. The daily precipitation of WRF_C shows the better performance in terms of frequency and extreme precipitation intensity compared to WRF_UC. In addition, WRF_C shows a more reasonable performance in predicting drought frequency according to intensity than WRF_UC.

Denim Brand Development Based on Dongdaemun Fashion Cluster (동대문 패션클러스터를 기반으로 한 데님 브랜드 개발)

  • Hyunji Lee;Haram Shin;Misun Yum
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.5
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    • pp.959-976
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    • 2023
  • This study participated in educational programs for young designers and received trainings in sewing technology through government and local government-supported projects led by a from a skilled craftsman. These initiatives aim to revitalize the Dongdaemun fashion cluster, which is currently experiencing stagnation. Our goal is to develop denim brands that reflect the unique regional characteristics stemming from the skilled sewing techniques and denim processes of the Changsin·Sungin regions, the production hubs supporting Dongdaemun, to discover solutions for revitalizing the local industry. For the research method, we collected data by actively participating in support projects related to the Dongdaemun fashion cluster. Additionally, we gathered data by conducting a theoretical review of the sewing industry in the Changsin·Sungin regions and the Dongdaemun fashion cluster. The research results include developing a denim brand collection-eight denim products-based on Changsin-dong's unique denim sewing technology and various denim washing processes acquired through the support project and regional characteristics. Overall, this study is meaningful in presenting a sustainable plan to revitalize the domestic sewing and manufacturing industry, focusing on the Dongdaemun fashion cluster. We achieved this by developing a denim brand that leverages the sewing and washing process technology and the unique regional characteristics of Changsin-dong.

Quality Control on Water-level Data in Agricultural Reservoirs Considering Filtering Methods (필터링 기법을 이용한 농업용저수지 수위자료의 품질관리 방안)

  • Kim, Kyung-hwan;Choi, Gyu-hoon;Jung, Hyoung-mo;Joo, Donghyuk;Na, Ra;Choi, Eun-hyuk;Kwon, Jae-Hwan;Yoo, Seung-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.5
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    • pp.83-93
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    • 2021
  • Agricultural reservoirs are important facilities for storing or managing water for the purpose of securing agricultural water, creating and expanding agricultural production bases, and using them to increase agricultural production. In particular, the Korea Rural Community Corporation (KRC) manages agricultural reservoirs scattered across the country, and officially recognizes and distributes hydrological data to increase their public utilization and aims to improve the value of water resources. Data on the water level of agricultural reservoirs are important. However, errors such as missing values and outliners limit utilization of the data in various fields of research and industry. Therefore, water quality data measures should be devised to increase reliability. this study categorized different error types and looked at automatic correction methods to enhance the reliability of the vast hydrological data. In addition, the water level data corrected from errors were compared to the reference hydrologic data through expert judgment in accordance with the quality control procedure, and the most appropriate measures were verified. As KRC manages more agricultural reservoirs than any other institution, the proposed method of efficient and automatic water level data correction in this study is expected to increase the availability and reliability of the hydrological data.

Development of a Recommendation Model for Development Area using Land Suitability Assessment (토지적성평가 결과를 활용한 개발지역추천모델 개발)

  • Kim, Hong Yeon;Chang, Woo Seok;Jung, Nam Su;Kim, Han Joong
    • Journal of Korean Society of Rural Planning
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    • v.18 no.4
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    • pp.129-140
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    • 2012
  • Land suitability assessment assesses development, farming, and conservation suitability, considering land's soil, location, and possibility for use. It also implement segmentation of management regions into production, conservation, and plan management area. It is evaluated as a very significant system in establishing a land use system of sustainable development and development after planning in the aspect that it can establish proper land use plan. This study developed a recommendation model for development in agent-based model that interacts with surrounding lands. It also tried to summarize the area characteristic analysis and the results of land suitability evaluation, targeting three ri's in Yesan-Gun, and analyze the model's applicability by selection results. In order to recommend area for development that considers the use of the surrounding lands, it calculated development possibility indices that considered the ratings of all the lands in the target areas for each parcel and simulated the model. As a result, selected three areas in target region were suitable areas for development in land suitability assessment. In detail, ratings of the recommended parcels were 3, 4, and 5 ratings. As a result of examining the land status, it showed that all the three areas were plan management areas, thus easy for development. It is judged that the model for recommending area for development suggested in this study can be used as important basic data for setting the direction for development when establishing a regional planning.

The geography of external control in Korean manufacturing industry (한국제조업에서의 외부통제에 관한 공간적 분석)

  • ;Beck, Yeong-Ki
    • Journal of the Korean Geographical Society
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    • v.30 no.2
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    • pp.146-168
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    • 1995
  • problems involved in defining and identifying it. However, data on ownership of business establishments may be useful and one of the best alternatives for this empirical research because of use of limited information about control This study examines the spatial patterns of external control in the Korean manufacturing activities between 1986 and 1992. Using the data on ownership iinkages of multilocational firms between 15 administrative areas, it was possible to construct a matrix of organizational control in terms of the number of establishments. The control matrix was disaggregated by three types of manufacturing industries according to the capital and labor requirements of production processes used in. On the basis of the disaggregated control matrix, a series of measures were calculated for investigating the magnitude and direction of control as well as the external dependency. In the past decades Korean industrialization development has risen at a rapid pace, deepening integration into the world economy, together with the continuing growth of the large industrial firms. The expanded scale of large firms led to a spatial separation of production from control, Increasing branch plants in the nation. But recent important changes have occurred in the spatial organization of production by technological development, increasing international competition, and changing local labor markets. These changes have forced firms to reorganize their production structures, resulting in changes of the organizational structures in certain industries and regions. In this context the empirical analysis revealed the following principal trends. In general term, the geography of corporate control in Korea is marked by a twofold pattern of concentration and dispersion. The dominance of Seoul as a major command and control center has been evident over the period, though its overall share of allexternally controlled establishments has decreased from 88% to 79%. And the substantial amount of external control from Seoul has concentrated to the Kyongki and Southeast regions which are well-developed industrial areas. But Seoul's corporate ownership links tend to streteh across the country to the less-developed regions, most of which have shown a significant increase of external dependency during the period 1986-1992. At the same time, a geographic dispersion of corporate control is taking place as Kyongki province and Pusan are developing as new increasingly important command and control reaions. Though these two resions contain a number of branch plants controlled from other locations, they may be increasingly attractive as a headquarters location with increasing locally owned establishments. The geographical patterns of external control observable in each of three types of manufacturing industries were examined in order to distinguish the changing spatial structures of organizational control with respect to the characteristics of the production processes. Labor intensive manufacturing with unskilled iabor experienced the strongest external pressure from foreign competition and a lack of low cost labor. The high pressure expected not only to disinte-grate the production process but also led to location of production facilities in areas of cheap labor. The linkages of control between Seoul and the less-developed regions have slightly increased, while the external dependency of the industrialized regions might be reduced from the tendency of organizational disintegration. Capita1 intensive manufacturing operates under high entry and exit barriers due to capital intensity. The need to increase scale economies ied to an even stronger economic and spatial oncentration of control. The strong geographical oncentration of control might be influenced by orporate and organizational scale economies rather than by locational advantages. Other sectors experience with respect to branch plants of multilocational firms. The policy implications of the increase of external dependency in less-developed regions may be negative because of the very share of unskilled workers and lack of autonomy in decision making. The strong growth of the national economy and a scarcity of labor in core areas have been important factors in this regional decentralization of industries to less-developed regions. But the rather gloomy prospects of the economic growth in the near future could prevent the further industrialization of less-developed areas. A major rethinking of regional policy would have to take place towards a need for a regional policy actively favoring indigenous establishments.

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Statistics of Poison Exposure in Korea (국내중독현황)

  • Hwang Jung-Yun;Ko Jae-Ook
    • Journal of The Korean Society of Clinical Toxicology
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    • v.1 no.1
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    • pp.59-64
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    • 2003
  • Objective: This study was conducted for the nationwide statistical survey of poison exposure to provide the rationale for establishing and developing the poison control center (PCC) in Korea. Design: Study group for Korea PCC in National Medical Center reviewed the medical literature on poison exposure of Korea from death reports of National Statistical Office (NSO), the toxic exposure statistics from the report of National Health Insurance Corporation (NHIC), and poison related data from 119 ambulance services (FD) for the purpose of obtaining the poison and its related data. We also conducted questionnaire from the expert who work in emergency medicine department at the designated 320 emergency medical centers in Korea for the preparedness and acknowledgement about necessity of PCC and their need for that. Results: We reviewed the reliable data from the death report of NSO, poison exposure data from NHIC, and running report from FD. Poisoning death occured at home ($36.7\%$) and hospital ($46.3\%$). Poisoning are more common in rural area than the city area. Patients were seen more frequently in the local clinics than in any hospital. The drugs ($45.7\%$) and pesticide ($18.1\%$) are common poison. Common place to poison exposure were residential area ($39.9\%$), industry ($9\%$). mass residential area ($7\%$). and farm ($6\%$). The education level were primary school ($33.2\%$), high school ($23.7\%$), and middle schol ($21.3\%$) in order. We have to provide the poison guideline for lay public to understand easily, and for medical experts. The medical facilities need to be invested and have more interest for toxicology. All medical staff who work in the designated emergency medical center want PCC to establish. They want to have poison information from hospital ($91.3\%$), regional poison information center ($45.0\%$), regional poison control center ($52.5\%$), nationwide poison information center ($48.8\%$), nationwide poison control center ($46.25\%$), as a role of poison control center. They also want that pcc have poison epidemiologic study and statstics, training program for the experts, registration of rare case of posion on website, reflection of policies to activities for antidote production etc., speedy consultation system for poison analysis, public education, establishment of both regional and national pee, etc. Conclusion: Poison center must be established to provide poison information for all the public and medical experitise, focusing rural area and private clinic, to detoxify, to reduce the cost, time, morbity, and mortality through the whole country.

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Climate Change Adaptation Policy and Expansion of Irrigated Agriculture in Georgia, U.S.

  • Park, ChangKeun
    • Asian Journal of Innovation and Policy
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    • v.10 no.1
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    • pp.68-89
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    • 2021
  • The expansion of irrigated agricultural production can be appropriate for the southeast region in the U.S. as a climate change adaptation strategy. This study investigated the effect of supplemental development of irrigated agriculture on the regional economy by applying the supply side Georgia multiregional input-output (MRIO) model. For the analysis, 100% conversion of non-irrigated cultivable acreage into irrigated acreage for cotton, peanuts, corn, and soybeans in 42 counties of southwest Georgia is assumed. With this assumption, the difference in total net returns of production between the non-irrigation and irrigation method is calculated as input data of the Georgia MRIO model. Based on the information of a 95% confidence interval for each crop's average price, the lower and upper bounds of estimated results are also presented. The total impact of cotton production was $60 million with the range of $35 million to $85 million: The total impact of peanuts, soybeans, corn was $10.2 million (the range of $3.28 million to $23.7 million), $6.6 million (the range of $3.1 million to $10.2 million), $1.2 million (the range of -$6 million to $8.5 million), respectively.

Comparison of National Database of Health Inequality between Korea and the UK: Focusing on Substance Misuse Related Mental Health and Respiratory Diseases (한국과 영국의 건강불평등 국가 데이터베이스 비교: 중독 물질 오남용 관련 정신건강 및 호흡기 질환을 중심으로)

  • Lee, Iyn-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.3
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    • pp.216-230
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    • 2021
  • Objective: Taking action on health inequalities starts with the production of information laying out the problems of inequalities, but Korean society has no national database to view related data at a glance. This study aimed to compare Korean national database with the Public Health Profile (PHP), a health inequality database of the UK. Methods: Data were collected from the websites of government and relevant organizations in the both countries between March and August 2020, which was updated in August 2021. Two themes including Co-occurring substance misuse and mental health issues in mental health and INteractive Health Atlas of Lung conditions in England were selected for comparison in terms of data accessibility, data usability and data visualization. Results: The British PHP is being served on a web-based platform, Fingertips. The data collected at the regional level were presented on 31 health inequality themes. The data are displayed at a level that can be compared between comparable communities, and visualized into various tables and figures. Comparable Korean data were scattered in several themes and websites, and mostly provided as a 17 administrative region base, which was too vast to make a meaningful comparisons. Conclusion: The findings proposed several considerations which could be useful for establishing a database of health inequality in the Korean society.