• 제목, 요약, 키워드: Footprint

검색결과 363건 처리시간 0.038초

한국의 밭작물 생산에서의 물발자국 산정 (Estimation of Water Footprint for Upland Crop Production in Korea)

  • 유승환;이상현;최진용
    • 한국농공학회논문집
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    • v.56 no.3
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    • pp.65-74
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    • 2014
  • Water footprint is defined as the total volume of direct and indirect water used to produce a good and service by consumer or producer, and measured at the point of production based on virtual water concept. The green and blue water footprint refers to the volume of the rainwater and the irrigation water consumed, respectively. Crop water footprint is expected to be used as the basic data for agricultural water resources policies at production, consumption and trade aspect. Thus, it is necessary to estimate suitable green and blue water footprint for South Korea. The objective of this paper is to quantify the green and blue water footprint and usage of upland crops during the period 2001-2010. To estimate the water footprint, 43 upland crop production quantity and harvested area data were collected for 10 years and FAO Penman-Monteith equation was adopted for calculating crop water requirement. As the results, the water footprint of cereals, vegetables, fruits and oil crops accounted for 1,994, 165, 605, and 4,226 $m^3/ton$, respectively. The usage of water footprint for crop production has been estimated at 3,499 (green water) and 216 (blue water) $Mm^3/yr$ on average showing a tendency to decrease. Fruits and vegetables have the largest share in the green water usage, consuming about 1,200 and 1,060 $Mm^3/yr$ which are about 65 % of gross usage. The results of this study are expected to be understood by the agricultural water footprint as well as by the total water footprint from both a production and consumption perspective in Korea.

노년여성의 족저 형태에 따른 인솔 패턴 개발 연구 (Development of Insole Pattern Depending on the Footprint Shape of Elder Women)

  • 이지은;권영아
    • 한국감성과학회:학술대회논문집
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    • pp.122-125
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    • 2008
  • Even though many researchers studied the foot shape and dimension, those applications lacked. The purpose of this study was to develop insole pattern of elderly women according to footprint. Discrepancy in the classification criteria among of foot parameters complicates attempts for elderly women classification of foot sole. To develop a footprint-based classification technique for the classification of foot sole types by allowing simultaneous use of several parameters. Foot sole data from static standing footprints were recorded from 48 elderly women. The factors of footprint shape were determined. Cluster analysis was applied to obtain individual foot sole classifications. The classification model of foot insole is proposed for a classification of footprint in elderly women. An application of ANOVA, Duncan's analysis, frequency analysis, factor analysis, and cluster analysis have been made to footprint data. In order to make clear foot sole characteristics, the factors of footprint shape have been discussed. The results are as follows. The factors of footprint shape have been classified into four types: foot length, sole slope, outside sole slope, and foot width. The types of foot sole shape have been classified into four types: longed, shortened, outside sloped, and toes sloped.

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한국의 축산물 물발자국 산정 (Estimation of Water Footprint for Livestock Products in Korea)

  • 이상현;최진용;유승환;김영득;신안국
    • 한국농공학회논문집
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    • v.57 no.2
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    • pp.85-92
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    • 2015
  • Since the consumption of the livestock products increased for the past 10 years in Korea, the water use for live animals has become more important in terms of water savings. Therefore, the index connecting water use and livestock products consumption should be required for sustainable water management, and water footprint concept could be suggested as the index. The aim of this study is to estimate the water footprint for livestock products; beef cattle, swine, and broiler chicken. The water footprint for livestock products is divided into direct and indirect water. The direct water includes the drinking and servicing water, and the indirect water includes the water for the cultivation of feed crops. The water footprint of beef cattle was calculated to $17,023.1m^3/ton$, and direct water was $91.2m^3/ton$, and indirect water was $16,931.9m^3/ton$. The water footprint of swine was calculated to $4,235.8m^3/ton$, and direct water was $129.7m^3/ton$, and indirect water was $4,106.0m^3/ton$. The water footprint of broiler chicken was calculated to $2,427.7m^3/ton$, and direct water was $7.6m^3/ton$, and indirect water was $2,420.1m^3/ton$. Also, we compared the water footprint to water demand of water vision 2020 which is the main report for national water management. The water vision 2020 reported only direct water for live animal, but the water footprint includes the direct and indirect water. Therefore, the water footprint could be applied to various fields relating water and food.

국내 고등학생들의 탄소발자국 산정과 비교에 관한 연구: 대.중.소도시 통학패턴을 중심으로 (Evaluation and Comparison Study of Carbon Footprint of High School Students: Focused on Commute to School in Big, Middle, Small Size City)

  • 여인호;김준범;강석교;김진범
    • 한국환경교육학회지:환경교육
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    • v.25 no.1
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    • pp.15-24
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    • 2012
  • The goal of this study, as an effort to reduce national greenhouse gas (GHG) emissions, is to calculate the carbon footprint of students based on the commute pattern of high school students in big (Seoul), middle (Suwon) and small (Icheon) size city. By conducting a survey, the commute pattern and method of students as well as students' carbon footprint were evaluated. As a result, the carbon footprint of the high school student in Icheon ($1.698kgCO_2$) had 2~3 times higher than student's carbon footprint in Seoul ($0.623kgCO_2$) and Suwon ($0.699kgCO_2$). One of the reasons for the different carbon footprint result between big and small city was whether the public pedestrian facilities and a bicycle path or not. Based on our research results, we pointed out the problems and suggested some ways to reduce carbon footprint of students.

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자동 임계값 설정 ART2를 이용한 곤충 발자국의 인식 대상 영역 추출 (Extraction of Basic Insect Footprint Segments Using ART2 of Automatic Threshold Setting)

  • 신복숙;차의영;우영운
    • 한국정보통신학회논문지
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    • v.11 no.8
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    • pp.1604-1611
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    • 2007
  • 곤충의 발자국 패턴을 이용하여 곤충을 인식하고자 할 때에는 특징을 추출하기 위한 기본 단위의 영역을 추출할 필요가 있다. 이 논문에서는 기본 단위 영역의 추출을 위한 전 단계 처리 과정으로서 군집화 기법을 사용하였다. 인식의 대상이 되는 곤충들의 크기와 종류에 따라 남겨지는 발자국 패턴의 크기 및 간격이 다르게 나타난다. 따라서 이 논문에서는 패턴의 크기와 간격에 관계없이 인식의 기본 단위가 되는 영역을 추출할 수 있도록 하는 개선된 ART2 알고리즘을 제안하였다. 제안한 ART2 알고리즘에서는 군집화를 위한 임계값이 군집화의 대상이 되는 모든 패턴들의 거리를 축적한 그래프의 형태에 따라 자동으로 설정되도록 하였다. 제안한 기법으로 2 가지 종류의 곤충 발자국 패턴에 대하여 군집화를 실험한 결과 모두 바르게 군집화가 이루어짐을 알 수 있었다.

서울시 물환경관리체계 개선을 위한 물발자국 도입 및 활용방안에 관한 연구 - 서울시 자치구 물환경관리 정책 및 제도, 관리체계 분석을 중심으로 - (Analysis and Application of Water Footprint to Improve Water Resource Management System - With a Focus on Seoul City -)

  • 전동준;김진오
    • 환경영향평가
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    • v.25 no.3
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    • pp.222-232
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    • 2016
  • 물발자국은 인간의 활동을 통해 소비되는 직접수와 간접수의 총사용량을 산정함으로써 지속가능한 물이용을 유도하기 위한 효과적 수단으로 활용되고 있다. 본 연구는 서울시의 물이용 관리와 관련한 계획들의 문제점 분석을 통해 물발자국의 도입가능성을 분석하고 장단기적인 측면에서 도입 및 활용방안을 제시하고자 하였다. 또한 서울시 25개 자치구를 대상으로 시뮬레이션을 통해 청색 및 회색 물발자국을 산정하고, 지역별 물발자국의 차이점 분석과 이를 바탕으로 물발자국을 줄이기 위한 대안들을 모색하였다. 물발자국 측면에서의 서울시 물환경시스템에 대한 분석은 크게 청색물발자국과 회색물발자국으로 나누어 수행하였다. 개인이나 공동체가 제품이나 서비스를 생산 소비하기 위해 필요한 지표수와 지하수의 양을 의미하는 청색물발자국을 분석하기 위해서 서울시의 각 행정구역별 지하수의 사용량과 생활용수의 사용량을 합산하여 추정하였다. 각 행정구역별 청색물발자국을 인구수와 세대수 비율로 확인해 본 결과 중구, 종로구 강남구, 용산구, 서초구 등의 순으로 높게 나타났다. 회색물발자국은 각 행정구역별 BOD기준의 오 폐수발생부하량을 배출기준 수질(BOD기준 3.5ppm)로 정화하여 배출할 때 사용되는 물의 양을 추론하여 산출하였다. 각 행정구역별 회색물발자국을 인구수와 세대수 비율로 확인해 본 결과 중구, 종로구 강남구, 용산구, 서초구, 영등포구 등의 순으로 높게 나타났다. 본 연구 결과는 물관리 있어 공급중심의 양적 관리 정책의 한계를 극복하기 위한 일환으로 물발자국의 개념 및 방법의 도입을 제안하였으며 이는 환경적 경제적 사회적으로 보다 탄력적이고 지속가능한 물관리 정책을 모색하는데 중요한 기초자료가 될 것으로 기대된다.

사과의 지역별 물발자국 비교와 물 리스크 대응 -충주와 거창 지역을 중심으로- (Apple Water-Footprint Calculation and Water Risk Action)

  • 오영진;박석하;김홍재;김제숭
    • 대한안전경영과학회지
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    • v.15 no.3
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    • pp.113-125
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    • 2013
  • According to 2012 OECD environmental report, Korea was ranked as the first country of water stress. Water footprint is a method to calculate water usage during the life cycle of a product from material procurement through production to disposal to recycle and to quantify the load to water resources. In water footprint calculation, water consumption unit is used. Agricultural water use is over 48% so it is urgent to mange that area Korea needs to spread the discussion about water footprint as quickly as possible, for the study to prevent social and environmental problems due to water shortage. This paper, through water footprint calculation and comparison in Chungju and Geochang areas, looks to counter measures for water risk, targeting domestically-produced apple.

전과정평가를 통한 마늘의 탄소배출량 산정연구 (Study of Garlic's Carbon Footprint though LCA)

  • 윤성이;김영란;김태호;박진현;안성우
    • 한국유기농업학회지
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    • v.20 no.2
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    • pp.161-172
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    • 2012
  • This study was carried out to estimate carbon footprint and to establish of LCA of garlic production system. We have case study in cultivate garlic 1 kg calculate in carbon footprint. LCA carried out to estimate carbon footprint and to establish of LCI (life cycle inventory) database of garlic production system. The data is from Research of Farmer's income in 2010 (RDA, 2011), and used Pass (5.0.0) program. The value of fertilizer, amount of pesticide input were shown the environmental effect and direct emission. Carbon footprint in agriculture guarantees the choice right the consumer to choose the lower carbon goods. Its can make to strengthen of agriculture and food industry's reduction effort of $CO_2$. Nowadays consumer requests food's safety and environment friendly process. Carbon footprint also needs consumer's relief and incentives.

우리나라 생태발자국(EF) 추이와 예측 (Trend and prediction of the Ecological Footprint in Korea)

  • 여민주;김용표
    • 환경영향평가
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    • v.23 no.5
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    • pp.364-378
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    • 2014
  • 과거 50여 년간 한국의 생태발자국(Ecological Footprint, EF)은 가파르게 증가해 왔으며, 이에 따라 오버슈트(Overshoot) 역시 증가해 왔다. 오버슈트를 야기하는 중요한 원인에는 인구 증가와 일인당 자원 사용 강도 증가가 있다. 본 연구에서는 이들 원인 가운데 어떤 변수가 지난 50여 년간 한국의 EF에 더 큰 영향을 미쳤는지에 대해 알아보았다. 소비 부문들 가운데, 에너지 소비에 따른 탄소발자국(Carbon Footprint, CF), 단백질 섭취에 따른 초지발자국(Grazing Land Footprint)과 어장 발자국(Fishing Grounds)이 EF 증가에 크게 영향을 주었다. 지난 50여 년간의 추세가 앞으로도 유지된다면, 2060년에는 일인당 EF 값이 2009년 현재의 2배에 달할 것으로 보이며, 2031년 이후 인구가 감소함에도 불구하고 1인당 EF 값의 증가에 따른 영향으로 EF는 2059년까지 증가할 것으로 보인다. 그러므로 향후 개개인의 소비 패턴과 행동 변화를 유도하는 것으로 환경관리 방향을 전환해갈 필요가 있을 것이다.