• Title/Summary/Keyword: 자원이용지수

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Assessing Groundwater Vulnerability Using DRASTIC Method and Groundwater Quality in Changwon City (DRASTIC과 지하수 수질에 의한 창원시 지하수 오염취약성 평가)

  • Hamm Se-Yeong;Cheong Jae-Yeol;Kim Moo-Jin;Kim In-Soo;Hwang Han-Seok
    • Economic and Environmental Geology
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    • v.37 no.6 s.169
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    • pp.631-645
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    • 2004
  • This study assesses groundwater vulnerability to contaminants in industrial and residential/commercial areas of the city of Changwon, using DRASTIC technique and groundwater data. The DRASTIC technique was originally applied to situations in which the contamination sources are at the ground surface, and the contaminants flow into the groundwater with infiltration of rainfall. Mostly the industrial area has higher DRASTIC indices than the residential/commercial area. However, a part of the residential/commercial area having much groundwater production and great drawdown is more contaminated in groundwater than other industrial and the residential/commercial areas even if it has lowest DRASTIC indices in the study area. It indicates that groundwater contamination in urban areas can be closely related to excessive pumping resulting in a lowering of the water level. The correlation coefficient between minimum DRASTIC indices and the degree of poor water quality for 10 districts is as low as 0.40. On the other hand, the correlation coefficients between minimum DRASTIC indices and the groundwater discharge rate, and between minimum DRASTIC indices and well distribution density per unit area are 0.70 and 0.87, respectively. Thus, to evaluate the potential of groundwater contamination in urban areas, it is necessary to consider other human-made factors such as groundwater withdrawal rate and well distribution density per unit area as well as the existing seven DRASTIC factors.

인공위성 원격탐사에 의한 지구 수계환경 감시

  • 박경윤
    • Water for future
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    • v.24 no.3
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    • pp.36-41
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    • 1991
  • 1960년대 초부터 미 국립항공우주국(NASA)에서 기상위성을 지구궤도에 올리면서 시작되고 우주개발 선도국들에 의해 수 없이 발사되어 지구상공을 선회하고 있는 각종 실험위성, 자원탐사위성들로부터 이전까지만해도 지엽적이고 단편적인으로 알려지던 지구환경현황들이 이제는 지구전체에 대한 시시각각의 정보로 확대되고 있다. 기상위성들에 장착된 Sensor들로는 구름과 기상현상의 분포는 물론이고 각 대양의 해수면 온도 분포들이 파악되고 있으며 식물지수에 의한 지상의 식물분포의 계절적 변화양상에서 열대림의 사막화 추세들까지도 분석된다. 특히 위성탐사에 의한 남극 오존홀 (Ozone Hole)의 확인은 최근악화 되고 있느 swlrnchs 환경문제에 대한 커다란 주의를 환기시켜 주었다. 대양의 Phytoplankton 분포가 계절에 따라 위성자료에 의해 분석되므로서 해양의 생산능력(Productivity)의 변화도 알게되고 있다. 해양수면의 높이를 측정했던 초단파(microwave)영역의 SAR 자료는 구름을 투과하여 지구표면을 전천후 Monitoring할 수 있는 다음 세대의 Sensor로 각광을 받고 있으며 앞으로 유럽과 일본, 카나다, 소련 등에서 이들 새로운 Sensor들이 탑재 될 자원탐사 위성(ERS)과 RADASAT 등의 위성이 계속해서 개발되고 있어 이들에 의한 지구환경상태 진단은 크게 각광받게 될 것이다. 그외에도 해면풍 운량, 총강우량 분포, 대기 투명도, 대기의 열수지등의 계절적 변화에 대한 인공위성자료 해석을 통하여 지구의 온난화nas제가 본격적으로 ud가되고 있다. 또한 자원탐사위성인 Landsat 과 SPOT 등의 위성에 의해서는 각대륙의 토지 이용도 변화, 토사의 이도, 지질도 작성, 입체도 제착등과 농산물수확량의 예측있어서 괄목할 만한 발전이 계속되고 있다. 더욱이 NASA와 일본, 유럽등에서 지구관측을 위해서 준비하고 있는 각종 지구관측위성(EOS)들이 실용화 될 2000년 대에는 일반 지구환경감시는 물론 수계환경 감시 체계구축에 획기적인 진전이 있을 것으로 기대된다.

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Estimation of Fresh Weight, Dry Weight, and Leaf Area Index of Soybean Plant using Multispectral Camera Mounted on Rotor-wing UAV (회전익 무인기에 탑재된 다중분광 센서를 이용한 콩의 생체중, 건물중, 엽면적 지수 추정)

  • Jang, Si-Hyeong;Ryu, Chan-Seok;Kang, Ye-Seong;Jun, Sae-Rom;Park, Jun-Woo;Song, Hye-Young;Kang, Kyeong-Suk;Kang, Dong-Woo;Zou, Kunyan;Jun, Tae-Hwan
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.4
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    • pp.327-336
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    • 2019
  • Soybean is one of the most important crops of which the grains contain high protein content and has been consumed in various forms of food. Soybean plants are generally cultivated on the field and their yield and quality are strongly affected by climate change. Recently, the abnormal climate conditions, including heat wave and heavy rainfall, frequently occurs which would increase the risk of the farm management. The real-time assessment techniques for quality and growth of soybean would reduce the losses of the crop in terms of quantity and quality. The objective of this work was to develop a simple model to estimate the growth of soybean plant using a multispectral sensor mounted on a rotor-wing unmanned aerial vehicle(UAV). The soybean growth model was developed by using simple linear regression analysis with three phenotypic data (fresh weight, dry weight, leaf area index) and two types of vegetation indices (VIs). It was found that the accuracy and precision of LAI model using GNDVI (R2= 0.789, RMSE=0.73 ㎡/㎡, RE=34.91%) was greater than those of the model using NDVI (R2= 0.587, RMSE=1.01 ㎡/㎡, RE=48.98%). The accuracy and precision based on the simple ratio indices were better than those based on the normalized vegetation indices, such as RRVI (R2= 0.760, RMSE=0.78 ㎡/㎡, RE=37.26%) and GRVI (R2= 0.828, RMSE=0.66 ㎡/㎡, RE=31.59%). The outcome of this study could aid the production of soybeans with high and uniform quality when a variable rate fertilization system is introduced to cope with the adverse climate conditions.

A Study on the Relationship between Library budget and Library Usage (도서관 예산과 도서관 이용과의 관계에 관한 연구 - 부산지역 공공도서관을 중심으로 -)

  • Kim, Sun Ae
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.27 no.2
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    • pp.193-212
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    • 2016
  • The purpose of this paper is to explain the necessity of secure budget in public libraries with regard to promoting library usage. It is namely to attempt to find out if there really is a connection between library funding and library usage. For this purpose, the relevant data of all the 31 public libraries in Busan were collected from the 2013 National library Statistics of Korea. To determine the connection between library funding and usage, two variables were selected, 'TFI (Total Funding Indicator) = $\sqrt{personnelcosts{\times}materialcosts}$' for independent variable and 'LU (Library Usage) = (visits per year) + (loans per year)/number of inhabitants' for dependent variable. The results showed that there is a clear relationship between TFI and LU and If more cost is spent on personal resources and material resources, the total usage of the public library also increase. The findings are limited due to the fact that the observation was focusing on public libraries in one community and the period of observation was one year in 2013.

Evaluation of the Probability of Failure in Rock Slope Using Fuzzy Reliability Analysis (퍼지신뢰도(fuzzy reliability) 해석기법을 이용한 암반사면의 파괴확률 산정)

  • Park, Hyuck-Jin
    • Economic and Environmental Geology
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    • v.41 no.6
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    • pp.763-771
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    • 2008
  • Uncertainties are pervasive in engineering geological problems. Therefore, the presence of uncertainties and their significance in analysis and design of slopes have been recognized. Since the uncertainties cannot be taken into account by the conventional deterministic approaches in slope stability analysis, the probabilistic analysis has been considered as the primary tool for representing uncertainties in mathematical models. However, some uncertainties are caused by incomplete information due to lack of information, and those uncertainties cannot be handled appropriately by the probabilistic approach. For those uncertainties, the theory of fuzzy sets is more appropriate. Therefore, in this study, fuzzy reliability analysis has been proposed in order to deal with the uncertainties which cannot be quantified in the probabilistic analysis due to the limited information. For the practical example, a slope is selected in this study and both the probabilistic analysis and the fuzzy reliability analysis have been carried out for planar failure. In the fuzzy reliability analysis, the dip angle and internal friction angle of discontinuity are considered as triangular fuzzy numbers since the random properties of the variables cannot be obtained completely under the conditions of limited information. In the study, the fuzzy reliability index and the probabilities of failure are evaluated from fuzzy arithmetic and compared to those from the probabilistic approach using Monte Carlo simulation and point estimate method. The analysis results show that the fuzzy reliability analysis is more appropriate for the condition that the uncertainties arise due to incomplete information.

Cost-Effectiveness Evaluation of Energy Conservation Programs Using Avoided Operating Cost Calculation (운전회피비용 계산을 이용한 효율향상 프로그램의 비용효과 분석)

  • 김회철;이기송;박종배;신중린;신점구
    • Journal of Energy Engineering
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    • v.11 no.4
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    • pp.317-323
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    • 2002
  • This paper proposed the calculation method of the generation operating avoided cost to cost-effectiveness evaluation of energy conservation programs that compounded the Proxy Plant Method and Load Decrement Method. This method introduced an operating index of the Energy Efficiency Demand-Side Management (EEDSM) resources based on the end-user's behaviors on the electricity power usage. The operation index is applied to calculate the hourly operating capacity of diffused high-efficiency appliances. And the operating capacity on the peak load hours for reference load is computed through the reduction of the peak load that contributes to that hour. Also, the proposed method evaluated the effect of EEDSM resources. The IEEE-RTS is adopted as a sample system to analyze impacts of an EEDSM. This paper, we have analyzed the effect of EEDSM upon the changes in the generation of generator, generation cost and the system marginal price (SMP). This method can be used to evaluate the impact of the diffused DSM resource and to estimate the impact in short-term EEDSM program. Further, result of the calculation can be utilized to pabulum for effect analysis of EEDSM resources.

Assessing Spatial Uncertainty Distributions in Classification of Remote Sensing Imagery using Spatial Statistics (공간 통계를 이용한 원격탐사 화상 분류의 공간적 불확실성 분포 추정)

  • Park No-Wook;Chi Kwang-Hoon;Kwon Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.20 no.6
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    • pp.383-396
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    • 2004
  • The application of spatial statistics to obtain the spatial uncertainty distributions in classification of remote sensing images is investigated in this paper. Two quantitative methods are presented for describing two kinds of uncertainty; one related to class assignment and the other related to the connection of reference samples. Three quantitative indices are addressed for the first category of uncertainty. Geostatistical simulation is applied both to integrate the exhaustive classification results with the sparse reference samples and to obtain the spatial uncertainty or accuracy distributions connected to those reference samples. To illustrate the proposed methods and to discuss the operational issues, the experiment was done on a multi-sensor remote sensing data set for supervised land-cover classification. As an experimental result, the two quantitative methods presented in this paper could provide additional information for interpreting and evaluating the classification results and more experiments should be carried out for verifying the presented methods.

Resource use of the Elderly in Long-term Care Hospital sing RUG-III (요양병원 입원노인의 환자군 분류에 따른 자원이용수준)

  • 김은경
    • Journal of Korean Academy of Nursing
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    • v.33 no.2
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    • pp.275-283
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    • 2003
  • Purpose: This study was to classify elderly in long-term care hospitals for using Resource Utilization Group(RUG-III) and to consider feasibility of payment method based on RUG-III classification system in Korea. Method: This study designed by measuring resident characteristics using the Resident Assessment Instrument-Minimum Data Set(RAI-MDS) and staff time. The data were collected from 382 elderly over sixty-year old, inpatient in the five long-term care hospitals. Staff time was converted into standard time based on the average wage of nurse and aids. Result: The subjects were classified into 4 groups. The group of Clinically Complex was the largest(46.3%), Reduced Physical Function(27.2%), Behavior Problem(17.0%), and Impaired Cognition(9.4%). The average resource use for one resident in terms of care time(nurses, aids) was 183.7 minutes a day. Relative resource use was expressed as a case mix index(CMI) calculated as a proportion of mean resource use. The CMI of Clinically Complex group was the largest(1.10), and then Reduced Physical Function(0.93), Behavior Problem(0.93), and Impaired Cognition(0.83) followed. The difference of the resource use showed statistical significance between major groups(p<0.0001). Conclusion: The results of this study showed that the RUG-III classification system differentiates resources provided to elderly in long-term care hospitals in Korea.

Nonlinear Dynamics between Economic Growth and Pollution (경제성장과 환경오염 간의 비선형동학 분석)

  • Kim, Ji Uk
    • Environmental and Resource Economics Review
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    • v.15 no.3
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    • pp.405-423
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    • 2006
  • This paper develops theoretical model between economic growth and pollution as follows: First, emissions are generated from final good production process and technology accumulation. Second, pollution is directly connected with increase in final good production or in consumption, Third, no pollution abatement activity would be undertaken. Fourth, reproducible factors associated with labor and capital input are used in production function. We also test the existence of nonlinear Dynamics between economic growth and pollution using an exponential smooth transition autoregressive model(ESTAR). We find the presence of nonlinear dynamics between economic growth and pollution with a time series data for Seoul. This result shows indirectly that an inverted U relationship between air pollution and economic growth exists.

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Analysis of Stability for Yield and Yield Components in Cotton Varieties (목화 품종의 수량과 수량성분 형질에 대한 환경 적응 분석)

  • 박희진
    • Korean Journal of Plant Resources
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    • v.8 no.3
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    • pp.287-296
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    • 1995
  • Stability of yield and yield components in 6 cotton cultivars were evaluated using data from the regional yield trials at two sites from 1987 to 1990. Genotype-environment interactions were analyzed by the modified model of Eberhart and Russell. The results revealed that Mokpo 7, which had many effective number of bearing branches and capsule, was the most stable high yielding variety over a wide range of environmental variations. bearing branches and capsule, was the most stable high yielding variety over a wide range of environmental variations.

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