• 대한원격탐사학회지
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• 제26권2호
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• pp.209-220
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• 2010

해양현상을 이해하기 위한 관측분야의 노력 중에서 해류 정보의 생산은 가장 어려운 작업 중의 하나이다. 이를 극복하기 위한 대안으로서 연속 화상 자료로부터 해류벡터를 추정하려는 많은 연구들이 진행 되고 있다. 본 연구에서는 한반도 주변의 SeaWiFS (Sea-viewing Wide Field-of-view Sensor) chlorophyll-a 해색 자료와 AVHRR/SST 를 이용하여 연속 화상 사이의 유사한 형태를 추적하는 최대상 관계수법을 사용한 표층 유속 벡터의 추정을 시도하였다. 한국의 남해역에서 적용한 유속 벡터 결과는 해면 고도계를 이용한 지형류, ADCP 관측 결과와 비교하여 유속은 약 15% 정도 작고, 유향은 약 $36^{\circ}$의 차이로 근접하여 기존 연구 결과에 비해 양호하게 나타났다. 이는 향후 GOCI 자료의 응용적 측면에서 매우 고무적이다.

• 대한원격탐사학회지
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• 제24권4호
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• pp.325-331
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• 2008

본 연구는 MODIS에서 제공하는 클로로필 정보를 기반으로 하여 2단계 필터링을 통해 우리나라 동해, 남해 연안에 대규모로 발생했던 Cochlodinium polykrikoides 적조를 탐지하는 알고리즘을 제시한다. 일반적으로 적조 탐지 연구들은 클로로필과 적조 발생의 상관성을 이용하여 클로로필의 농도가 높은 해역을 적조 발생 해역으로 탐지한다. 하지만 이 방법의 문제점은 적조가 발생하지 않은 해역을 적조 발생 해역으로 탐지함으로써 포함오차(Commission error)를 발생시킨다는 것이다. 따라서 본 연구에서는 이러한 문제점을 극복하기 위해 MODIS에서 제공하는 클로로필 정보를 바탕으로 적조 발생 해역을 추출하고, 2단계 필터 링 과정을 적용함으로써 진해, 여수, 남해도 부근 해역에서 발생한 포함오차를 제거하였으며, 그 결과를 국립수산과학원의 적조속보자료와 함께 시각적 정량적으로 평가하여 본 연구에서 제안한 알고리즘의 효용성을 검증하였다.

• 대한원격탐사학회지
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• 제26권2호
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• pp.221-237
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• 2010

해양의 일차생산 측정에 있어 인공위성자료의 활용은 연구선 등을 활용한 기존 조사방법이 갖고 있는 시 공간상의 제한을 많이 개선할 수 있다. 하지만, 황해와 같이 탁한 해역에서의 일차생산 추정은 해수의 광학특성에 의해 여전히 많은 문제점을 가지고 있다. 본 연구에서는 현재 수준에서 가용한 황해의 일차 생산 추정방법들을 비교 평가하였다. 즉, 네 가지의 엽록소-a 추정 알고리듬과 두 가지의 일차생산 추정 알고리듬을 사용하여 각기 다른 조합들이 일차생산 추정에 있어 어떤 차이를 보이는지 알아보았다. 여덟가지 조합에 의해 추정된 황해 중부의 일차생산력은 96.5 에서 $610.2\;gC\;m^{-2}\;yr^{-1}$의 범위값을 가졌다. 최근 한 중 일 연구자들에 의해 공동으로 개발 중인 새로운 엽록소 알고리듬은 탁한 해역에서 표준알고리듬이 잘 맞지 않는 문제를 일부 해결했으나 여전히 해결해야 할 문제를 남겼다. 실측 광합성 매개변수를 새로 적용한 일차생산 추정 알고리듬 또한 개선이 필요하다.

• 아시안잔디학회지
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• 제20권2호
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• pp.167-174
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• 2006

키토산 처리에 의한 크리핑 벤트그래스의 생장에 미치는 영향에 대하여 분석하였다. 엽장은 무처리 평균은 25.1cm로 확인되었고, 키토산 500배 처리 시 평균 31.6cm로 가장 높은 생육증가를 나타내었다. 엽수는 무처리 시 평균은 27.9매로 나타났고, 키토산 300배 처리 시 45.5 매로 증가하였다. 뿌리길이는 무처리에서 21.1cm인 것으로 나타났으나, 키토산 600배 처리 시 27.9cm로 뿌리 길이의 생육이 증가하는 것으로 나타났다. 엽록소 함량은 무처리 시에서 $11.9mg/100cm^2$로 나타났고, 키토산 300배 처리에서 $18.4mg/100cm^2$로 최대 증가를 나타내었다. 뿌리길이의 생장, 엽록소 함량, 지상부 생체중과 건물중, 지하부 생체중과 건물중은 키토산 500배 처리 농도에서 가장 높은 생장 특성을 나타냈다.

• 한국기후변화학회지
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• 제7권3호
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• pp.351-356
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• 2016

The carbon capture and storage (CCS), which collects and stores carbon dioxide in a geological site, is a promising option to mitigate climate change. However, there is the possibility of carbon dioxide leakage from the soil in the steps of collecting, transporting, and storing. To ensure the feasibility of this technology, it is important to monitor the leakage of carbon dioxide and to assess the potential impacts. As plants are sensitive to the changes in carbon dioxide in the soil environment, we can utilize plant parameter to detect the carbon dioxide leakage. Currently, chlorophyll a content is a conventional index indicating the changes in plants, however, this method is labor intensive and it only utilizes a small portion of leaves. To overcome its limitations, a simple spectroscopic parameter, DGCI (dark green color index), was suggested as an easy and quick indicator. In this study, we compared the values of chlorophyll a contents with DGCI from the experiment investigating the impacts of high underground $CO_2$ on grape plants. Results suggest that DGCI had high correlation with chlorophyll a contents and it has high potential to be utilized as an easy indicator to monitor plants' responses to $CO_2$ treatment.

• The Plant Pathology Journal
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• 제35권2호
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• pp.112-124
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• 2019

Barley worldwide is affected seriously by Fusarium seedling blight (FSB) and Fusarium head blight (FHB) diseases caused by the Fusarium species. The objective of this study was to facilitate the resistance of hulled and hull-less barley at different growth stages to F. culmorum according to direct parameters: disease rating (DR), fresh weight of leaves and roots, kernel weight per spike, kernel number per spike, plump kernels, and indirect parameters - chlorophyll a fluorescence (CF). Plate assay, greenhouse and field tests were performed on 30 spring barley doubled haploid (DH) lines and their parents infected with Fusarium culmorum. Direct parameters proved that hulled genotypes show less symptoms. Most studied chlorophyll a fluorescence (CF) parameters (apart from DIo/CS - amount of energy dissipated from PSII for laboratory test, TRo/CS - amount of excitation energy trapped in PSII reaction centers, ETo/CS - amount of energy used for electron transport and RC/CS - number of active reaction centres in the state of fully reduced PSII reaction center in field experiment) were significantly affected by F. culmorum infection. In all experiments, hulled genotypes had higher values of CF parameters compared to hull-less ones. Significant correlations were detected between direct and indirect parameters and also between various environments. It was revealed that ABS/CS, TRo/CS, and RC/CS have significant positive correlation in greenhouse test and field experiment. Significant correlations suggest the possibility of applying the CF parameters in selection of barley DH lines resistant to F. culmorum infection.

• Journal of Ginseng Research
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• 제43권4호
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• pp.572-579
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• 2019

Background: Panax ginseng has been used in traditional medicine to strengthen the body and mental well-being of humans for thousands of years. Many elite ginseng cultivars have been developed, and ginseng cultivation has become well established during the last century. However, heat stress poses an important threat to the growth and sustainable production of ginseng. Efforts have been made to study the effects of high temperature on ginseng physiology, but knowledge of the molecular responses to heat stress is still limited. Methods: We sequenced the transcriptomes (RNA-Seq) of two ginseng cultivars, Chunpoong (CP) and Yunpoong (YP), which are sensitive and resistant to heat stress, respectively, after 1- and 3-week heat treatments. Differential gene expression and gene ontology enrichment along with profiled chlorophyll contents were performed. Results: CP is more sensitive to heat stress than YP and exhibited a lower chlorophyll content than YP. Moreover, heat stress reduced the chlorophyll content more rapidly in CP than in YP. A total of 329 heat-responsive genes were identified. Intriguingly, genes encoding chlorophyll a/b-binding proteins, WRKY transcription factors, and fatty acid desaturase were predominantly responsive during heat stress and appeared to regulate photosynthesis. In addition, a genome-wide scan of photosynthetic and sugar metabolic genes revealed reduced transcription levels for ribulose 1,5-bisphosphate carboxylase/oxygenase under heat stress, especially in CP, possibly attributable to elevated levels of soluble sugars. Conclusion: Our comprehensive genomic analysis reveals candidate loci/gene targets for breeding and functional studies related to developing high temperature-tolerant ginseng varieties.

• Journal of Plant Biotechnology
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• 제48권2호
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• pp.115-122
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• 2021

Aspilia africana (Pers) C.D.Adams, a plant used for centuries in many African countries to treat diseases such as osteoporosis, malaria, tuberculosis, and diabetes, is of great pharmaceutical interest, yet there is limited scientific literature on its germination and growth. This research paper describes the effects of different commercial soils on the germination, growth, and chlorophyll content of A. africana. The germination parameters assessed included final germination percentage (FGP), mean germination time (MGT), and germination index (GI). Shoot length, leaf number, and fresh and dry weights were some of the parameters used to assess A. africana growth. The FGP was low and did not vary significantly; the MGT was 7 ~ 10 days; and the GI was significantly higher in PPS soil at 4.61 ± 0.332 days. Aspilia africana plants in HS:PPS soil showed the best overall growth, producing the highest mean leaf number (18.00 ± 1.129), longest mean shoot length (202.43 ± 13.451 mm), and highest mean fresh and dry weights (7.08 ± 1.061 g and 0.629 ± 0.112 g, respectively). The highest chlorophyll content in leaves of A. africana under HS:PPS conditions suggested a higher photosynthetic potential of plants in this soil. The best growth performance of A. africana in the HS:PPS soil could be attributed to a higher amount of certain mineral nutrients such as nitrogen, potassium, and phosphorus in the HS:PPS soil compared to the other soil categories. It is unclear why the FGP of A. africana was low and we recommend an exclusive study to investigate this further.

• 인간식물환경학회지
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• 제24권5호
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• pp.461-468
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• 2021

Background and objective: Particulate matter (PM) has a serious impact on health. Recently, studies are conducted to reduce PM in an environmentally friendly way using plants. This study investigated the physiological responses of plants and their ability to remove PM by continuously spraying different PM sources (loam, fly ash, carbon black) to four native plant species, such as Iris sanguinea, Pteris multifida, Vitis coignetiae, and Viburnum odoratissimum var. awabuki. Methods: The four plant species were randomly placed in four chambers, and 0.1 g of different PM was injected into each chamber twice a week. We measured chlorophyll, carotenoid, chlorophyll fluorescence (Fv/Fm), total leaf area, amount of leaf wax, PM10 (sPM10) and PM2.5 (sPM2.5) on the leaf surface, and PM10 (wPM10) and PM2.5 (wPM2.5) on the wax layer. Results: For I. sanguinea and V. coignetiae, the sources of PM did not affect the growth response. P. multifida showed high chlorophyll a, b, total chlorophyll, and carotenoid content in carbon black as well as high Fv/Fm and total leaf area, thereby proving that carbon black helped plant growth. By PM sources, sPM10 showed a significant difference in three plant species, sPM2.5 in two plant species, and wPM10 in one plant species, indicating that sPM10 was most affected by PM sources. Conclusion: Carbon black increased the leaf area by affecting the growth of P. multifida. This plant can be effectively used for PM reduction by increasing the adsorption area. I. sanguinea and V. coignetiae can be used as economical landscaping plants since they can grow regardless of PM sources.

• 한국물환경학회지
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• 제38권6호
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• pp.292-305
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• 2022

The Yeongsan River, one of the four largest rivers in South Korea, has been facing difficulties with water quality management with respect to algal bloom. The algal bloom menace has become bigger, especially after the construction of two weirs in the mainstream of the Yeongsan River. Therefore, the prediction and factor analysis of Chlorophyll-a (Chl-a) concentration is needed for effective water quality management. In this study, Chl-a prediction model was developed, and the performance evaluated using machine and deep learning methods, such as Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). Moreover, the correlation analysis and the feature importance results were compared to identify the major factors affecting the concentration of Chl-a. All models showed high prediction performance with an R² value of 0.9 or higher. In particular, XGBoost showed the highest prediction accuracy of 0.95 in the test data.The results of feature importance suggested that Ammonia (NH₃-N) and Phosphate (PO₄-P) were common major factors for the three models to manage Chl-a concentration. From the results, it was confirmed that three machine learning methods, DNN, RF, and XGBoost are powerful methods for predicting water quality parameters. Also, the comparison between feature importance and correlation analysis would present a more accurate assessment of the important major factors.