• Title/Summary/Keyword: 일치지표

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Estimation of reservoir temperatures and subsurface environments for $CO_2-rich$ springs in Kangwon Province (강원도 지역 탄산용출수에 대한 심부온도 및 심부환경의 추정)

  • 최현수;고용권;윤성택;배대석
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.09a
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    • pp.520-523
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    • 2003
  • 강원도 지역의 대표적인 탄산용출수에 대한 수리지구화학적 연구를 통하여 심부 지열 저장지의 온도와 심부환경을 추정하였다. 탄산용출수는 공통적으로 약산성의 pH와 높은 이온함량으로 특징되지만, 화학적으로는 Na-HCO$_3$형, Ca-Na-HCO$_3$형, 그리고 Ca-HCO$_3$형으로 뚜렷이 구분된다. 심부에서 생성된 탄산용출수가 지표로 상승하는 도중에 수반된 지표수 혼합차이로 인해 이런 화학조성의 차이가 유발된 것으로 판단된다. Na-HCO$_3$형 탄산수는 화학 조성상 ‘mature water’의 특징을 보여주는 반면, 다른 두 유형의 탄산수들은 ‘immature water’에 해당하였다. Na-HCO$_3$ 형 탄산수에 대하여 실리카, Na-K 및 Na-K-Ca 지온계를 적용한 결과, 약 l15-157도의 심부저장지 온도가 산출되었으며, 이 결과는 다성분 평형계를 이용한 추정 온도 (약 140-160도)와도 잘 일치하였다. 반면, Ca-HCO$_3$ 형 탄산수들은 지표수와의 혼합 때문에 상대적으로 낮고 넓은 범위의 추정 온도 (약 60-130도)를 나타내었다. 따라서 연구지역 내 탄산용출수의 심부저장지 온도는 Na-HCO$_3$형에 대해서만 타당하게 적용될 수 있으며, 약 140-160도일 것으로 추정된다.

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Analysis of the agricultural area conversion of paddy to field based on reservoir irrigation region (저수지 수혜구역단위 논 전작화 패턴 분석)

  • Park, Jin Seok;Jang, Seong Ju;Hong, Rok Gi;Hong, Joo Pyo;Song, In Hong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.467-467
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    • 2021
  • 기존 저수지 농업용수는 주로 논의 벼재배 용수공급을 목적으로 설계되었지만, 논 지역 타작물 재배 지원 등의 정책으로 논에서 밭으로 전작화가 증가함에 따라 농업용수의 효율적 분배를 위한 논의 전작화 패턴 분석이 필요한 실정이다. 이에 본 연구에서는 공공데이터 포털의 2019년 팜맵을 활용하여 최신 경지 현황을 파악하고, 환경부의 2007년, 2019년 토지피복지도를 이용하여 전작화 패턴을 분석하였다. 구축된 팜맵과 토지피복지도는 환경부 토지피복분류 기준 농업지역 중분류로 일치시켜 분석에 활용되었다. 논, 밭, 시설재배지 등의 농경지 이용 현황 및 전작화 추이는 전국 단위, 권역 단위로 분석되었고, 주요 시도와의 공간적 거리를 전작화 영향인자로 설정하여 DUP(Degree of Urban Proximity) 등의 지표로 그 영향을 확인하였다. 또한, 전체 경지 중 논, 밭의 면적과 증감 추이를 ACR(Area Change Rate) 등의 지표로 전작화 규모를 파악하였고, LPI(Largest Patch Index), LSI(Landscape Shape Index) 등의 지표로 개별/집단화 전작의 패턴분석을 수행하였다. 본 연구로 제시된 저수지 수혜 구역별 논의 전작화 패턴은 논 벼재배와 농업용수 수요 특성이 상이한 밭작물에 안정적 용수공급 체계 구축 등의 기초자료로 활용 가능할 것으로 생각된다.

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Air Temperature Prediction at Higher Temporal and Spatial Resolution in Pyongchang Mountainous Area (일사 수광량 보정에 의한 평창지역 고해상도 기온분포도 작성)

  • 정유란;윤진일;안재훈
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2001.06a
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    • pp.153-156
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    • 2001
  • 한 지점의 매시 기온 관측값에는 이 지점의 수평 및 수직 위치, 주변 식생, 하천이나 바다 등, 모든 기온결정인자의 영향이 녹아있다고 볼 수 있다. 만약 지표 특성이 이들 관측지점과 동질적이며, 관측점들의 표고에 의해 그 지형이 정확히 표현될 수 있는 넓은 지역이 있다면, 기존의 거리 역산가중법(Inverse Distance Weighting: IDW)에 의해 내삽되는 기온의 공간변이는 실제 기온의 공간변이와 일치할 것이다.(중략)

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BACTERIOLOGICAL STUDIES ON MARKET SEA FOODS 2. Sanitary Indicative Bacteria in Slices of Raw Fish (시판 수산식품에 대한 세균학적 연구 2. 생선회의 위생지표 세균에 관하여)

  • CHANG Dong-Suck;CHOE Wi-Kyung
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.6 no.3_4
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    • pp.92-96
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    • 1973
  • This examination was carried out to evaluate the sanitary quality of slices of raw fish being served in the restaurants. Twenty five kinds of slices of raw fish collected from various restaurants in Busan Korea were examined during the period from March to May in 1971. As the evaluation factors of sanitary quality, the contents of sanitary indicative bacteria such as coliform group, fecal coliform, feral streptococci and enterococci and plate counts were determined. The results obtained are as in below: 1. The numbers of fecal streptococci and enterococci MPN were much greater than those of coliform group and fecal coliform. 2. The median value of coliform group MPN was 3,300 per 100 grams of the sample examined and those of enterococci was 5,400. The median value of plate counts was $1.8\times10^5$ per gram. 3. Fifty-two percent of the samples examined were exceeded fecal coliform MPN 930 per 100 grams. 4. As a sanitary indicative bacteria fecal coliform MPN was more reasonable than enterococci 5. The grade of restaurants was not correlated with the bacterial quality of the foods served. 6. No correlation between the numbers of sanitary indicative bacteria ana plate counts was observed.

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Analysis of Disaster Vulnerable Districts using Heavy Rainfall Vulnerability Index (폭우 취약성 지표를 활용한 재해취약지구 분석)

  • PARK, Jong-Young;LEE, Jung-Sik;LEE, Jin-Deok;LEE, Won-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.1
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    • pp.12-22
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    • 2018
  • In order to improve the vulnerability of current cities due to climate change, the disaster vulnerability analysis manual for various disasters is provided. Depending on the spatial units, the disaster vulnerability levels, and the conditions of the climatic factors, the results of the disaster vulnerability analysis will have a significant impact. In this study, relative assessments are conducted by adding the eup, myeon and dong unit in addition to census output area unit to analyze the impact on the spatial unit, and relative changes are analyzed according to the classification stages by expanding the natural classification, which is standardized at level four stage, to level two, four and six stage. The maximum rainfalls(10min, 60min, 24hr) are added for the two limited rainfall characteristics to determine the relativity of disaster vulnerable districts by index. The relative assessment results of heavy rainfall vulnerability index showed that the area ratio of disaster areas by spatial unit was different and the correlation analysis showed that the space analysis between the eup, myeon and dong unit in addition to census output area unit was not consistent. And it can be seen that the proportion of disaster vulnerable districts is relatively different a lot due to indexes of rainfall characteristics, spatial unit analysis and disaster vulnerability level stage. Based on the above results, it can be seen that the ratios of disaster vulnerable districts differ relatively significantly due to the level of the disaster vulnerability class, and the indexes of rainfall characteristics. This suggests that the impact of the disaster vulnerable districts depending on indexes is relatively large, and more detailed indexes should be selected when setting up the disaster vulnerabilities analysis index.

Forecasting Birthrate Change based on Big Data (빅데이터 기반의 출산율 변동 예측)

  • Joo, Se-Min;Ok, Seong-Hwan;Hwang, Kyung-Tae
    • Informatization Policy
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    • v.26 no.4
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    • pp.20-35
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    • 2019
  • We empirically analyze the effects of psychological factors, such as the fear of parenting, on fertility rates. An index is calculated based on the share of negative news articles on child care in all social articles from 2000 to 2018. The analysis result shows that as the index increases, the fertility rate after three years falls. This result is repeated in the correlation analysis, simple regression, and VAR analysis. According to Granger causality analysis, it is found that the relation between the index and the fertility rate after three years is not just a simple correlation but a causal relationship. There are differences among age groups. The fertility rate of women in their 20s and 30s shows a significant response to the index, but that of the 40s does not. The index affects the birthrate of first child, but do not affect the birthrate of second or more children. These results are consistent with the intuition that younger women are more likely to be affected by the negative articles about parenting, but not to those who have already experienced childbirth. This study is meaningful in that a significant index for predicting social phenomena is extracted beyond the limited use of news big data such as a simple keyword mention volume monitoring. Also, this big data-based index is a 3-year leading indicator for fertility, which provides the advantage of providing information that helps early detection.

Derivation of Scarcity Index for Korean Coal Using Input Distance Function (투입물거리함수(投入物巨利函數)를 이용한 한국(韓國) 무연탄(無煙炭)의 희소성지표(稀少性指標) 산정(算定))

  • Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.13 no.1
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    • pp.33-47
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    • 2004
  • Even though the price of extracted but unprocessed coal has been available in Korea, the use of it as scarcity index would be inappropriate because of price subsidy. Following Halvorsen and Smith(1984), Kim and Lee(2002) derived estimates of the shadow price of unextracted coal by estimating the restricted cost function and differentiating with respect to the quantity of coal extracted. In Korea, however, due to the limited data the capital prices have been computed inconsistently case by case without relying on the robust formula like the Christensen-Jorgenson methodology used in US, which could result in biased estimators of the restricted cost function. In the paper the shadow prices of the resources in situ are obtained by measuring an input distance function defined by Shephard (1970), which requires only the data on the quantities of inputs and output. Empirical results for the Korean coal mining industry show that these shadow prices as a coal scarcity have increased fast by approximately three times in comparisons with those obtained by Kim and Lee.

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Quantitative Changes of Collagen and Malonedialdehyde as the Parameters of Skin Alteration (피부노화의 지표가 되는 collagen과 malonedialdehyde의 정량적인 변화)

  • 김기영;이재형;진주영;양시용
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.30 no.1
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    • pp.135-140
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    • 2004
  • Anti-skin aging agent could be have an inhibition effect of ROS production as well as fragmentation and change of collagen cross linkage in collagen molecule. For the monitoring of lipid peroxidation and collagen degradation, the skin of young and old rats were incised and observed 7 days. In the result, the wound closure was observed in the skin from 10 of 11 young rats and in 8 of 11 old rats. And the longer wound length but shorter wound closure, weaker collagen density and thicker epidermis were observed in old rats than in young rats. The level of hydroxyproline as a parameter of collagen synthesis and MDA as a parameter of lipid peroxidation was lower in old group than in young group. The cyst and lacuna between collagen bundle and fibroblast were observed in old rats in contrast to young rats. So that we propose that MDA and hydroxyproline could be used for monitoring of anti-skin aging agent.

Development of the Surface Forest Fire Behavior Prediction Model Using GIS (GIS를 이용한 지표화 확산예측모델의 개발)

  • Lee, Byungdoo;Chung, Joosang;Lee, Myung-Bo
    • Journal of Korean Society of Forest Science
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    • v.94 no.6
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    • pp.481-487
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    • 2005
  • In this study, a GIS model to simulate the behavior of surface forest fires was developed on the basis of forest fire growth prediction algorithm. This model consists of three modules for data-handling, simulation and report writing. The data-handling module was designed to interpret such forest fire environment factors as terrain, fuel and weather and provide sets of data required in analyzing fire behavior. The simulation module simulates the fire and determines spread velocity, fire intensity and burnt area over time associated with terrain slope, wind, effective humidity and such fuel condition factors as fuel depth, fuel loading and moisture content for fire extinction. The module is equipped with the functions to infer the fuel condition factors from the information extracted from digital vegetation map sand the fuel moisture from the weather conditions including effective humidity, maximum temperature, precipitation and hourly irradiation. The report writer has the function to provide results of a series of analyses for fire prediction. A performance test of the model with the 2002 Chungyang forest fire showed the predictive accuracy of 61% in spread rate.