• Title/Summary/Keyword: Spatial Concentration

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Analysis of CO2 Distribution Properties Using GOSAT : a Case Study of North-East Asia (GOSAT을 활용한 이산화탄소 분포 특성 분석 : 동북아시아를 사례로)

  • Choi, Jin Ho;Um, Jung Sup
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.2
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    • pp.85-92
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    • 2013
  • This study determined the spatial distribution characteristics of carbon dioxide in Northeast Asia, connecting land coverage and vegetation index that have influence on concentration and distribution of carbon dioxide measured by GOSAT with GIS spatial analysis method. The results visibly showed that the spatial distribution of carbon dioxide had different patterns in dependent on the present status of land use in its surrounding area. Such high concentration of carbon dioxide was formed in developed sites like cities while forest areas showed low concentration of it. We also found that there were relatively high negative(-) correlations between carbon dioxide and vegetation, in statistically significant level. It is expected to be used as a basic data for establishing measures to reduce greenhouse gas in the future.

Prediction of Daily PM10 Concentration for Air Korea Stations Using Artificial Intelligence with LDAPS Weather Data, MODIS AOD, and Chinese Air Quality Data

  • Jeong, Yemin;Youn, Youjeong;Cho, Subin;Kim, Seoyeon;Huh, Morang;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.36 no.4
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    • pp.573-586
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    • 2020
  • PM (particulate matter) is of interest to everyone because it can have adverse effects on human health by the infiltration from respiratory to internal organs. To date, many studies have made efforts for the prediction of PM10 and PM2.5 concentrations. Unlike previous studies, we conducted the prediction of tomorrow's PM10 concentration for the Air Korea stations using Chinese PM10 data in addition to the satellite AOD and weather variables. We constructed 230,639 matchups from the raw data over 3 million and built an RF (random forest) model from the matchups to cope with the complexity and nonlinearity. The validation statistics from the blind test showed excellent accuracy with the RMSE (root mean square error) of 9.905 ㎍/㎥ and the CC (correlation coefficient) of 0.918. Moreover, our prediction model showed a stable performance without the dependency on seasons or the degree of PM10 concentration. However, part of coastal areas had a relatively low accuracy, which implies that a dedicated model for coastal areas will be necessary. Additional input variables such as wind direction, precipitation, and air stability should also be incorporated into the prediction model as future work.

Spatial moment analysis of multispecies contaminant transport in porous media

  • Natarajan, N.;Kumar, G. Suresh
    • Environmental Engineering Research
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    • v.23 no.1
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    • pp.76-83
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    • 2018
  • Spatial moment analysis has been performed on the concentration of the first species in a multispecies solute transport in porous media. Finite difference numerical technique was used in obtaining the solute concentration. A constant continuous source of contaminant was injected at the inlet of the domain. Results suggest that the decaying of solute mass increases as the magnitude of mean fluid velocity increases. The dispersion coefficient is highly time dependent under decaying of solutes with a complex behavior of mixing of solutes. The solute mobility and mixing varies non-linearly with time during its initial period, while the same ceases with higher decay rates of the first species much faster.

Classification of Livestock Raising Area and Spatial Mobility (가축사육의 지역분류와 공간이동에 관한 연구)

  • 김재환;박치호;강희설;곽정훈;최동윤;최희철
    • Journal of Animal Environmental Science
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    • v.7 no.1
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    • pp.45-56
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    • 2001
  • The following statistics are the results of a survey that analyzed the classification of livestock area and spatial mobility based upon the number of livestock and an area of 151 towns and cities from 1975 to 1995. 1. As a results of analysis about the degree of location concentration using C.V., Korean native cattles (HanWoo) and swines are becoming more centralized while dairies and chickens are becoming decentralized. 2. 49 regions, that is 32.5%, were classified as growing regions, 30 regions (19.9%) were stagnant regions and 72 regions (47.7%) were withering regions. The classification was based upon the calculation according to the numbers of converted grown animals and growth index. Kyonggi-do and Chungchongnam-do, specifically, took up 26.6% and 24.5% of the developing regions which shows that these two regions are the dominant regions for livestock. 3. Kyongsangbuk-do and Chungchongnam-do play significant roles for overall livestock, and Chollanam-do is considering a transition from swines to Korean native cattles and Kyongsangbuk-do is shifting from Korean native cattles to swines.

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A Study on the Characteristics of Spatial Organization of Korean Detached Houses by the Topographical Theory (위상학적 이론에 의한 우리나라 단독주택의 공간구성적 특성에 관한 연구)

  • 전경화
    • Korean Institute of Interior Design Journal
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    • no.17
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    • pp.80-86
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    • 1998
  • This research is a study on the spatial organization of Korean houses designed by architects. It is focused on the characteristics and transformation of spatial organization of house designed since 1970. The variety and regularity of organization existed at the back of spatial structure of Korean houses were analyzed through typological and topographical theory. The general subject of this study is to find out the characteristics and tendency of transformation of spatial organization of houses designed by Korean architects. As a result of this study it was clarified that the spatial organization of architect's house turned its derection from the concept of 'unification and connection' to that of 'separation and segregation' It also was found that the degree of depth of room has been increased and the degree of concentration to a certain room has been decreased through the passing of time. It is because of the trend of spatial separation of rooms appeared in the architect's houses.

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The Spatial Analysis of Knowledge Production Activities Based on Korean Patent Data (특허 데이터에 기초한 지식창출활동의 공간분석)

  • Lee, Hee-Yeon;Kim, Hong-Joo
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.3
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    • pp.318-340
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    • 2006
  • In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

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Quality Consistence Analysis of Satellite-based Sea Ice Concentration Products (위성기반 해빙 농도 산출물들의 품질 일관성 분석)

  • Lee, Eunkyung;Seo, Minji;Lee, Kyeong-sang;Choi, Sungwon;Lee, Darae;Jin, Donghyun;Kwon, Chaeyoung;Kim, Honghee;Huh, Morang;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.333-338
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    • 2017
  • We compared sea ice concentration(SIC) and sea ice extent(SIE) using EUMETSAT Ocean and Sea Ice Satellite Application Facilities(OSI SAF) and NASA Team(NT) sea ice algorithm in the Arctic during 1980-2010 to investigate the difference between sea ice data applied different algorithms. SIC and SIE of the two data showed different consistency by season and by sea area. Seasonally, SIC of OSI SAF was 0.85 % overall, 0.48 % in spring, 0.97 % in summer, 1.38 % in autumn and 0.66 % in winter higher than NT SIC. By sea area, OSI SAF SIC was 2.7 %, SIE was $198,000km^2$ higher than NT in Arctic Ocean, but in Lincoln Sea, OSI SAF SIC was 2.3 %, SIE was $20,000km^2$ lower than NT.

Major Watershed Characteristics Influencing Spatial Variability of Stream TP Concentration in the Nakdong River Basin (낙동강 유역에서 하천 TP 농도의 공간적 변동성에 영향을 미치는 주요 유역특성)

  • Seo, Jiyu;Won, Jeongeun;Choi, Jeonghyeon;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.37 no.3
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    • pp.204-216
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    • 2021
  • It is important to understand the factors influencing the temporal and spatial variability of water quality in order to establish an effective customized management strategy for contaminated aquatic ecosystems. In this study, the spatial diversity of the 5-year (2015 - 2019) average total phosphorus (TP) concentration observed in 40 Total Maximum Daily Loads unit-basins in the Nakdong River watershed was analyzed using 50 predictive variables of watershed characteristics, climate characteristics, land use characteristics, and soil characteristics. Cross-correlation analysis, a two-stage exhaustive search approach, and Bayesian inference were applied to identify predictors that best matched the time-averaged TP. The predictors that were finally identified included watershed altitude, precipitation in fall, precipitation in winter, residential area, public facilities area, paddy field, soil available phosphate, soil magnesium, soil available silicic acid, and soil potassium. Among them, it was found that the most influential factors for the spatial difference of TP were watershed altitude in watershed characteristics, public facilities area in land use characteristics, and soil available silicic acid in soil characteristics. This means that artificial factors have a great influence on the spatial variability of TP. It is expected that the proposed statistical modeling approach can be applied to the identification of major factors affecting the spatial variability of the temporal average state of various water quality parameters.

Intensification and Spatial Concentration of Protected Horticulture through the Industrialization of Agriculture: Focused on Cultivation under Structure of Oriental Melons (농업의 산업화 과정에서 나타나는 시설원예농업의 집약화와 공간적 집중화: 참외농업 시설재배를 중심으로)

  • Jang, Youngjin
    • Journal of the Economic Geographical Society of Korea
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    • v.21 no.4
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    • pp.273-288
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    • 2018
  • The protected horticulture sector was evaluated as achieving the highest level of agricultural industrialization, this study examined the structural changes in the field of Korea oriental melon farming, where cultivation under structure has advanced through its long history, with the focus on intensification and concentration of agriculture. From the 1970's, the oriental melon farming labor were replaced by capital due to the increase of dependence on input industries and the decrease in labor input, thus intensification improved the productivity. Through the development, Seongju-gun of Gyeongsangbuk-do, experienced faster growth of cultivation compared to other regions, and gained a competitive edge in productivity which led to the spatial concentration as well as the concentration of farms. In this restructuring process of oriental melon farming, spatial inequality intensified throughout the agricultural development as the existing farming spaces underwent a dynamic shift.

Nitrogen Dioxide Measurement with Diffusive Passive Samplers at the Curbside Points in Daejeon (확산측정기를 이용한 대전시 도로변에서의 이산화질소 측정)

  • Yim, Bong-Been;Kim, Sun-Tae;Yang, Heung-Mo
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.2
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    • pp.143-152
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    • 2008
  • This study investigates the variation and spatial distribution of nitrogen dioxide($NO_2$) concentrations measured with passive diffusive samplers at 40 curbside points in Daejeon. Average $NO_2$ concentration was $39.8{\pm}18.0\;ppb$ (n=1,127) and the significant difference in concentrations by regional groups (Dong-gu, Jung-gu, Seo-gu, Daedeok-gu, Yuseong-gu) was not observed. The frequency distribution of $NO_2$ concentration was found to be a normal distribution with the high frequency in the concentration range of 30 to 40 ppb (20 to 25%). Average $NO_2$ concentration measured during the rainy periods was lower than that measured during the non-rainy periods and the decrease of concentration by rainfall was about 16% (7 ppb). The variation of $NO_2$ concentrations measured by passive diffusive samplers during the sampling period was similar to that continuously measured at the air quality monitoring station.