• Title/Summary/Keyword: Regional Production Data

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Regional Characteristics of a Crackdown on Illegal Fisheries in Korean Waters (한반도 연근해 불법어업단속의 해역별 특성)

  • Kim, Hong-Eun;Hong, Chul-Hoon
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.41 no.5
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    • pp.389-398
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    • 2008
  • The regional characteristics of crackdown on illegal fisheries in Korea Waters are investigated using data from the Ministry of Maritime Affairs and Fisheries, local cities and Provincial governments, and the Korea Coast Guard from 1996 to 2006, focusing on the relationship between the crackdown on illegal fisheries, catches within the affected regions, and characteristics of similar crackdown in Chinese fishing vessels. Illegal fisheries in the South Sea were all strongly affected within each region, and a relationship between the crackdown and subsequent catches showed a relatively good correlation in the South Sea. As a monthly variation, a strong correlation appeared during the autumn season, but this strong correlation was not evident during the spring. This paper suggests that a relationship exists between the crackdown on illegal fisheries and subsequent catch rates, suggesting that an intensification of these efforts in the South Sea and the Yellow Sea, and attendant increases in manpower and equipment would result in a significant decrease in illegal fishing by Chinese fishing vessels from year to year.

A Study on the Evaluation of Agricultural Drought Index (농업한발지수 설정에 관한 연구)

  • 안병기;김태철;정도웅
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.30 no.1
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    • pp.31-37
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    • 1988
  • This study, based on the monthly rainfall data, was carried out to determine the agricultural drought index which enables to describe the regional and seasonal drought characteristics of rice cropping system in Korea. The results obtained were summarized as follows ; 1.A new agricultural drought index (ADI) was evaluated seasonally according to the product of drought intensity and duration. This ADI is proposed as standard design criterion for irrigation planning. 2.The relationship between agricultural drought index and return periods was figured out. These diagrams could be used to estimate the seasonal drought severity of a certain year and to select design year corresponding to the specific drought frequency. 3.The regional drought characteristics were classified and those are useful to determine proper rice varieties and planting time and make drought counterplans. 4.Spring drought occurred once in 3 or 4 years and in a regional respect, rather frequently occurred in Seoul and Daegu areas than in Busan, Daejeon, Kwangju and Chuncheon areas. Summer drought occurred once in 5 years in Daegu and Busan areas and once in 7 or 8 years in other areas. 5.Sequential drought which gave severe drought damage of rice production occurred once in 20 years in Daegu area and in 10 years in Kwangju area.

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CLIMATE CHANGE IMPACT OVER INDIAN AGRICULTURE - A SPATIAL MODELING APPROACH

  • Priya, Satya;Shibasaki, Ryosuke
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.107-114
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    • 1999
  • The large-scale distribution of crops Is usually determined by climate. We present the results of a climate-crop prediction based on spatial bio-physical process model approach, implemented in a GIS (Geographic Information System) environment using several regional and global agriculture-environmental databases. The model utilizes daily climate data like temperature, rainfall, solar radiation being generated stocastically by in-built model weather generator to determine the daily biomass and finally the crop yield. Crops are characterized by their specific growing period requirements, photosynthesis, respiration properties and harvesting index properties. Temperature and radiation during the growing period controls the development of each crop. The model simulates geographic/spatial distribution of climate by which a crop-growing belt can also be determined. The model takes both irrigated and non-irrigated area crop productivity into account and the potential increase in productivity by the technical means like mechanization is not considered. All the management input given at the base year 1995 was kept same for the next twenty-year changes until 2015. The simulated distributions of crops under current climatic conditions coincide largely with the current agricultural or specific crop growing regions. Simulation with assumed weather generated derived climate change scenario illustrate changes in the agricultural potential. There are large regional differences in the response across the country. The north-south and east-west regions responded differently with projected climate changes with increased and decreased productivity depending upon the crops and scenarios separately. When water was limiting or facilitating as non-irrigated and irrigated area crop-production effects of temperature rise and higher $CO_2$ levels were different depending on the crops and accordingly their production. Rise in temperature led to yield reduction in case of maize and rice whereas a gain was observed for wheat crop, doubled $CO_2$ concentration enhanced yield for all crops and their several combinations behaved differently with increase or decrease in yields. Finally, with this spatial modeling approach we succeeded in quantifying the crop productivity which may bring regional disparities under the different climatic scenarios where one region may become better off and the other may go worse off.

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Impacts of Immigrant Workers on Regional Economy in S. Korea (이주노동자의 유입이 지역경제에 미치는 영향)

  • Choi, Byung-Doo
    • Journal of the Korean association of regional geographers
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    • v.15 no.3
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    • pp.369-392
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    • 2009
  • Recently international movements of labour as well as those of goods and other production elements such as capitals and technology have been increased rapidly under the process of glocalization. The huge amount of immigrant workers' in-flows makes increasing influences on regional economy in South Korea. This paper examines such impacts of immigrant workers on local labor markets, productivity. and industrial composition and innovation on the basis of analysis of empirical data and review of existing literature on the subject. Despite a problem of simplification, some reasoning can be listed as follows: First of all, the inflow of immigrant workers has an effect of job displacement among domestic simple workers, with duel effects on the status of native workers; secondly, Immigrant workers give a positive effect on local productivity, but only with low level of wage and of purchasing power; thirdly, the in-flow of immigrant workers seems to prevent existing industries from transformation towards new ones and/or from automation and innovation of production facilities, while there seems no clear relationship with foreign direct investments of local firms.

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The spatial-temporal characteristics for wind power resources on the Korean Peninsula (한반도 풍력자원의 시공간적 특성 분석)

  • Lee, Hwa-Woon;Kim, Min-Jung;Kim, Dong-Hyeuk;Kim, Hyun-Goo;Lee, Soon-Hwan
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.331-332
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    • 2008
  • Wind energy issued as most spotlight general energy by excellence of actuality as well as economical efficiency, solving environmental problem which caused by creating the energy and possibility of eternal production. Accordingly, government is at the stage of corresponding level by requesting development of new technology to the developed countries as a part of national key industries. The grievous situation from such a rapid movement is meteorological comprehension and assessment as well as the problem of estimation exactness about the wind. In this study, we use the regional meteorological station data, automatic weather station data and QuikSCAT SeaWinds data.

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A Study on Database of Region Statistic and Application (지역통계 데이타베이스 구축및 활용방안)

  • 이희춘;김승구
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.38
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    • pp.199-205
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    • 1996
  • The purpose of this study, therefore, was to construct the region statistical information to present methods of the data. The results of this paper are as follows: First, the construction of region statistical data is much in need of utilizing the server of regional information center, or the database to the server of public institutions, Second, there are some difficulties to receive the region statistical data because of only depending on the main source of KOSIS provided by national units from National Statistical Office. Third, as there is another problem which is text searching system served by KOSIS, GU system should be established for the user's satisfaction served by easier accessing screen. Fourth, there should be a standard software production to suit for the accessing software of the region statistical data.

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Use of Remotely-Sensed Data in Cotton Growth Model

  • Ko, Jong-Han;Maas, Stephan J.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.52 no.4
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    • pp.393-402
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    • 2007
  • Remote sensing data can be integrated into crop models, making simulation improved. A crop model that uses remote sensing data was evaluated for its capability, which was performed through comparing three different methods of canopy measurement for cotton(Gossypium hirsutum L.). The measurement methods used were leaf area index(LAI), hand-held remotely sensed perpendicular vegetation index(PVI), and satellite remotely sensed PVI. Simulated values of cotton growth and lint yield showed reasonable agreement with the corresponding measurements when canopy measurements of LAI and hand-held remotely sensed PVI were used for model calibration. Meanwhile, simulated lint yields involving the satellite remotely sensed PVI were in rough agreement with the measured lint yields. We believe this matter could be improved by using remote sensing data obtained from finer resolution sensors. The model not only has simple input requirements but also is easy to use. It promises to expand its applicability to other regions for crop production, and to be applicable to regional crop growth monitoring and yield mapping projects.

Evaluation of Sediment Yield Prediction and Estimation of Sediment Yield under Various Slope Scenarios at Jawoon-ri using WEPP Watershed Model (WEPP Watershed Version을 이용한 홍천군 자운리 농경지 토양유실 예측 및 경사도에 따른 토양유실량 평가)

  • Choi, Jaewan;Hyun, Geunwoo;Lee, Jae Woon;Shin, Dong Suk;Kim, Ki-Sung;Park, Younshik;Kim, Jonggun;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.25 no.3
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    • pp.441-451
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    • 2009
  • To evaluate the soil erosion best management practices, many computer models has been utilized over the years. Among those, the USLE and SWAT models have been widely used. These models estimate the soil erosion from the field using empirically-based USLE/MULSE in it. However, these models are not good enough to estimate soil erosion from highland agricultural watershed where severe storm events are causing soil erosion and muddy water issues at the receiving watersheds. Thus, physically-based WEPP watershed version was applied to a watershed, located at Jawoon-ri, Gangwon with very detailed rainfall data, rather than daily rainfall data. Then it was validated with measured sediment data collected at the sediment settling ponds and through overland flow. In this study, very detailed rainfall data, crop management data, soil data reflecting soil reconditioned for higher crop production were used in the WEPP runs. The $R^2$ and the EI for runoff comparisons were 0.88 and 0.91, respectively. For sediment comparisons, the $R^2$ and the EI values were 0.95 and 0.91. Since the WEPP provides higher accuracies in predicting runoff and sediment yield from the study watershed, various slope scenarios (2%, 3%, 5.5%, 8%, 10%, 13%, 15%, 18%, 20%, 23%, 25%, 28%, 30%) were made and simulated sediment yield values were analyzed to develop appropriate soil erosion management practices. It was found that soil erosion increase linearly with increase in slope of the field in the watershed. However, the soil erosion increases dramatically with the slope of 20% or greater. Therefore special care should be taken for the agricultural field with slope greater than 20%. As shown in this study, the WEPP watershed version is suitable model to predict soil erosion where torrential rainfall events are causing significant amount of soil loss from the field and it can also be used to develop site-specific best management practices.

Protective actions of Rubus coreanus ethanol extract on collagenous extracellular matrix in ultraviolet-B irradiation-induced human dermal fibroblasts

  • Bae, Ji-Young;Lim, Soon-Sung;Choi, Jung-Suk;Kang, Young-Hee
    • Nutrition Research and Practice
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    • v.1 no.4
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    • pp.279-284
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    • 2007
  • Solar ultraviolet (UV) irradiation leads to distinct changes in the skin connective tissues by degradation of collagen, which is a major structural component in the extracellular matrix. UV irradiation induces the production of matrix metalloproteinases (MMP) capable of attacking native fibrillar collagen and responsible for inhibiting the construction of collagenous extracellular matrix. In this study, we attempted to investigate the protective actions of Rubus coreanus ethanol extract (RCE) on the MMP production and the consequent procollagen/collagen degradation in UV-B-irradiated human dermal fibroblasts. The analytical data showed that Rubus coreanus ethanol extract was mostly comprised of cyanidin 3-rutinoside. Pre-treatment of fibroblasts with this extract inhibited UV-B-induced production of MMP-1, MMP-8 and MMP-13 in dose-dependent manners. In addition, Western blot analysis and immunocytochemical staining assay revealed that RCE markedly augmented the cellular levels of procollagen/collagen declined in UV-B-exposed dermal fibroblasts. These results demonstrate that RCE blocks UV-B-induced increase of the collagen degradation by inhibiting MMP production. Thus, RCE may act as an agent inhibiting excessive dermal collagen degradation leading to the skin photoaging.

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.