• Journal of Forest and Environmental Science
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• 제35권4호
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• pp.240-247
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• 2019

This study quantified carbon reduction services through direct harvesting of Ilex rotunda and Machilus thunbergii, which are the typical urban landscape tree species in southern Korea. A total of 20 open-grown tree specimens (10 specimens for each species) were selected reflecting various sizes of stem diameter at breast height of 1.2 m (DBH) at a regular interval. The study measured biomass for each part of the tree specimens including roots to compute total carbon storage per tree. Annual carbon uptake per tree was also calculated analyzing the DBH growth rate of stem disk specimens. Quantitative models were developed using DBH as an independent variable to easily estimate storage and annual uptake of carbon by tree growth for each species. All the models had a high goodness-of-fit with R²=0.95-0.99. The difference in carbon reduction services between DBH sizes increased with increasing DBH. The storage and annual uptake of carbon from a tree with DBH of 10 cm were 13.5 kg and 2.4 kg/yr for I. rotunda, and 19.1 kg and 3.6 kg/yr for M. thunbergii, respectively. The tree of this size stored the amount of carbon equivalent to that emitted from a gasoline use of approximately 24 L for I. rotunda and 34 L for M. thunbergii, respectively. The study provides actual measurement data to quantify carbon reduction services of urban open-grown landscape trees for the warm-temperate species that have been little known until now.

• 한국산림과학회지
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• 제101권2호
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• pp.266-278
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• 2012

본 연구에서는 우리나라 주요 수종을 대상으로 간벌강도 및 주기에 따른 흉고직경생장을 예측할 수 있는 동적생장모형을 개발하였다. 그동안 산림청에서 구축한 정적생장모형인 임분수확표를 이용하여 총 8개 수종에 대한 동적생장모형을 구축하였다. 간벌종류는 하층간벌을 전제로 하였으며, 간벌강도별로 간벌후의 흉고직경변화를 예측할 수 있는 함수식을 구축하였다. 또한, 임령, 지위지수 이외에도 ha당 본수를 설명변수로 하는 흉고직경여 총함수식을 유도하였다. 이와 같이 구축된수확표를 이여 모형을 이용하여 간벌강도 및 주기별로 확표를 이 다양하이여 될 수 있었다. 본 연구를 통해 개발된수확표를 용하여 모형을 이용해 숲가꾸기 등의 산림시업이 산림용하 및 임목축분수변화에 미치는 효과를 파악할 수 있으며, 나아이산림의 탄소흡수능력을 평가하는데 본 연구결과가 유용하게 활용될 수 있을 것이다.

• 품질경영학회지
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• 제44권4호
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• pp.883-895
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• 2016

Purpose: The demand for ordinary mail services supplied by 'Korea POST' is decreasing due to the opening of mail service market and the growth of alternative communication media such as e-mail and SNS. To overcome this situation it is urgent to introduce new services that can be able to appeal customers and to improve existing services. Methods: A field survey is conducted to corporate customers who send ordinary mails and individual customers who receive these mails, respectively. Quality attributes of ordinary mail services are classified by two-dimensional perspectives in terms of Kano model. Decision tree model is utilized for classifying the quality attributes. Comparative analyses are done whether there are perceived differences on each quality attributes between corporate customers and individual customers. Results: Quality attributes such as 'discount postal charges', 'sending small packages by simply dropping it into a mail box', 'sending a mail of any appearance', 'delivering a mail anywhere', and 'receiving a mail at a preferred time where a customer is located ' are classified differently according to some market segments, while most of the quality attributes are classified as attractive or one-dimensional. Conclusion: Decision tree model has been found to be most effective to classify quality attributes for each market segment especially when trying to classify quality attributes belonging to 'gray areas'. Based on the perceived differences on quality attributes among customers, strategic implications are suggested to obtain potential customers and to have competitive advantages.

• Journal of Forest and Environmental Science
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• 제34권2호
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• pp.162-164
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• 2018

This study quantified the carbon storage and uptake by street trees in Seoul and explored suitable planting and management strategies. A systematic sampling model was used to select 50 plots to survey the structures of street trees. The average density and cover of street trees were approximately 5.8 trees/$100m^2$ and 12.1%, respectively. Trees with a dbh of less than 30 cm accounted for about 66.3% of the total number of trees surveyed. The total carbon storage and uptake by the street trees were approximately 103,641 t and 10,992 t/yr, respectively. The total carbon uptake equaled the amount of annual carbon emissions from driving of about 11,000 cars. Street tree planting and management strategies were proposed to enhance carbon uptake. They included multi-layered and multi-aged planting, securing ground and space for plant growth, and avoiding excessive tree pruning.

• Journal of Forest and Environmental Science
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• 제39권4호
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• pp.195-202
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• 2023

In this study, we sought to compare and evaluate the accuracy and predictive performance of machine learning algorithms for estimating the growth of individual Larix kaempferi trees in Gangwon Province, Korea. We employed linear regression, random forest, XGBoost, and LightGBM algorithms to predict tree growth using monitoring data organized based on different thinning intensities. Furthermore, we compared and evaluated the goodness-of-fit of these models using metrics such as the coefficient of determination (R²), mean absolute error (MAE), and root mean square error (RMSE). The results revealed that XGBoost provided the highest goodness-of-fit, with an R² value of 0.62 across all thinning intensities, while also yielding the lowest values for MAE and RMSE, thereby indicating the best model fit. When predicting the growth volume of individual trees after 3 years using the XGBoost model, the agreement was exceptionally high, reaching approximately 97% for all stand sites in accordance with the different thinning intensities. Notably, in non-thinned plots, the predicted volumes were approximately 2.1 m³ lower than the actual volumes; however, the agreement remained highly accurate at approximately 99.5%. These findings will contribute to the development of growth prediction models for individual trees using machine learning algorithms.

• Current Research on Agriculture and Life Sciences
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• 제26권
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• pp.45-54
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• 2008

The purpose of this research is to develope street trees management program for more an effective street trees management. The principal point of this program is to relate spatial data and attribute data that is the main concept in GIS(Geographic Information System). To do this function, MapObjects which is ESRI's mapping and GIS components was used to process spatial data and Access which had been developed by MS was used to manipulate attribute data in this program. Visual Basic also was used to design and develop user interfaces and procedures, relate two sort of data, and lastly complete Application. Relational data model was adopted to design tables and their relation, Antenucci's GIS development model was selected to design and complete this program. The configuration of this application is composed of management data and reference data. The management data includes the location of street tree, a growth condition, a surrounding environment, the characters of tree, an equipments, a management records and etc. The reference data include general information about tree, blight and insects.

• 스마트미디어저널
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• 제11권4호
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• pp.9-18
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• 2022

인공지능 기술의 발전으로 다양한 분야에서 AI가 접목된 시스템에 대한 관심이 급증하고 있다. 농업에서도 정보통신 기술을 적용한 스마트팜이 활용되고 있으며, 자율주행, 인공위성, 빅데이터 등의 다양한 첨단 기술을 접목하여 데이터 기반의 정밀 농업이 상용화되고 있다. 국내의 경우 시설농업 분야 스마트농업의 상용화 사례가 증가하고 있으나 시설원예 분야에 투자 편증이 심하여, 시설농업과 노지 농업의 투자 격차가 지속해서 벌어지고 있다. 특히, 과수, 식물공장 분야는 투자 규모가 작다. 또한, 빅데이터 수집, 활용 체계가 미흡하다는 문제점이 있다. 이에 본 논문에서는 농업의 빅데이터를 활용하는 방안으로 딥러닝 기반의 객체 탐지 모델을 활용한 과수 생육 단계 판별 시스템을 제안한다. 해당 시스템은 농업 현장에서 사용할 수 있도록 하이브리드 앱을 설계 및 구현하며 과수 생육단계 판별을 위한 객체 탐지 기능을 제공한다.

• 디지털융복합연구
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• 제15권6호
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• pp.229-236
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• 2017

효율적인 빈발 패턴 알고리즘은 연관 규칙 마이닝이나 융복합을 위한 마이닝 과정에서 필수적인 요소이며 많은 활용성을 가지고 있다. 패턴 마이닝을 위한 많은 모델들이 빈발 패턴에 관한 정보를 추출하여 FP-트리를 이용하여 저장하고 있다. 본 논문에서는 항목들의 무게중심을 이용한 새로운 빈발 패턴 알고리즘(CAWFP-Growth)을 제안하여 항목들이 가지는 가중치와 빈도수를 같이 고려하여 항목간의 중심을 계산하여 기존의 FP-Growth 알고리즘의 효율성을 향상시킨다. 제안한 방법은 하향 폐쇄의 성질을 유지하기 위한 기존의 전역적 최대치 가중치 지지도를 필요로 하지 않기 때문에 자연히 빈발 패턴의 탐색시간이 줄어들고 정보의 손실을 줄일 수 있다. 실험결과를 통하여 제안된 알고리즘이 기존의 동적가중치를 이용하는 다른 방법과 비교해볼 때, 항목들의 무게중심이 빈발패턴의 정확한 정보를 유지하고 FP-트리의 처리시간을 줄여주기 때문에 제안한 방법의 중요성을 보이고 있다 또한 가상 분산모드에서 맵리듀스 프레임을 기반으로 빅데이터를 모델링하고 향후 완전분산 모드에서 제안한 알고리즘의 모델링이 필요하다.

• The Plant Pathology Journal
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• 제15권4호
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• pp.210-216
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• 1999

TREGRO, a computer simulation model of individual tree growth, was applied to estimate ozone ($\textrm{O}_3$) effects on aspen(Populus tremuloides) growth under ambient and 1.7 times ambient $\textrm{O}_3$ of Seoul in 1996. The three highest $\textrm{O}_3$ (Kuui-dong, Ssangmun-dong, Sungsoo-dong) and the two lowest $\textrm{O}_3$ sites (Mapo-dong, Namgajwa-dong) were evaluated. The current ambient $\textrm{O}_3$ did not affect aspen growth compared to simulation without $\textrm{O}_3$. The only effect was 6.6 percent of total assimilated carbonloss at Ssangmun-dong where the level of $\textrm{O}_3$ was greatest among the 21 sites examined. Decrease as much as 50 percent of total carbon gain was calculated at 1.7 times ambient $\textrm{O}_3$ of the three highest sites. The carbon loss by $\textrm{O}_3$ came from biomass of tissues and total nonstructural cabron (TNC) such as starch and sugar. The most sensitive fraction was TNC and the next was root biomass. Foliage mass was not affected by $\textrm{O}_3$. Structural biomass loss was at best 1 to 3 percent at 1.7 times ambient $\textrm{O}_3$ at the two lowest sites. The daily carbon simulation was affected by $\textrm{O}_3$ mainly during Growth Period 4 (Jul. 21-Oct. 26). Correlations between site, dose, and the simulated responses of aspen (tissue biomass, TNC, respiration, and senescence) ranged from -0.703 to -0.973 depending on the plant responses. The ozone effects on poplar in Seoul are not severe currently, but are probably measurable at Ssangmun-dong. However, severe $\textrm{O}_3$ effects on biomass would occur if $\textrm{O}_3$ levels increase to 1.7 times ambient $\textrm{O}_3$ in Seoul. In addition, v could weaken the trees thus increasing susceptibility to pathogens or insects.

• 한국산림과학회지
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• 제104권4호
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• pp.527-535
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• 2015

본 연구는 간벌에 따른 국내 산림의 직경 생장량과 탄소 저장량(임목, 고사목, 낙엽층, 토양) 변화를 파악하기 위하여 관련 결과들을 메타 분석한 것이다. 메타 분석 결과 간벌에 의하여 직경 생장량과 토양 탄소 저장량은 각각 39.2% 및 12.8% 증가하였고 임목 탄소 저장량은 30.9% 감소하는 것으로 나타났다. 그러나 고사목과 낙엽층 탄소 저장량은 간벌에 따른 변화를 보이지 않았다. 한편 직경 생장량과 임목 탄소 저장량은 간벌 강도 및 회복 시간(간벌 후 시간의 경과)과 상관 관계를 보였다. 그리고 낙엽층 탄소 저장량은 회복 시간과 상관 관계를 보였으나, 고사목과 토양 탄소 저장량은 간벌 강도 및 회복 시간과 상관 관계를 보이지 않았다. 또한 간벌 강도와 회복 시간에 따른 직경 생장량과 임목 탄소 저장량의 회귀식을 개발하였다. 고사목, 낙엽층 그리고 토양 탄소 저장량은 간벌 강도와 회복 시간과의 상관 관계가 거의 나타나지 않았으므로, 이들의 변화를 정량화하기 위해서는 본 연구에서 개발한 임목 탄소 저장량 회귀식과 산림 탄소 모델의 연계가 필요할 것으로 판단된다. 간벌에 의한 산림의 변화를 보다 정확하게 파악하기 위하여 연구 대상 수종 확대, 장기 모니터링 및 측정 주기 단축, 그리고 하층 식생 조사 등을 제언하였다.