• 한국자원식물학회지
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• 제33권6호
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• pp.586-596
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• 2020

Chionanthus retusus has been used for landscaping and gardening trees, foods and medicines. This study was carried out to analyze the effect of fertilization on the growth performance of container seedlings (1-year-old) in C. retusus. We used multifeed 19 (MF) as a fertilizer, and measured the height, root collar diameter (RCD), biomass, seedling quality index (SQI) chlorophyll contents and chlorophyll fluorescence of the seedlings. The findings of this paper showed that the height, RCD, H/D ratio, T/R ratio and the fresh and dry weight of seedlings increased after fertilization. The moisture content of the stem and root did not show any significant difference among fertilizations, except in the case of the leaf. Production distribution such as the dry weight ratio of leaves and the stem dry weight ratio of fertilized seedlings had a higher value than that of non-treatment. SQI was the highest in MF 1,000 mg/L and 2,000 mg/L treatment. Chlorophyll contents (SPAD value) also increased with the increase in fertilization concentrations. Chlorophyll fluorescence (F_v/F_m) showed the highest value of 0.8 in MF 2,000 mg/L treatment.

• Environmental Engineering Research
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• 제24권3호
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• pp.404-411
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• 2019

In this study, we designed a data-driven model to predict chlorophyll-a using M5P model tree and extreme learning machine (ELM). The Juksan weir in the Youngsan River has high chlorophyll-a, which is the primary indicator of algal bloom every year. Short-term algal bloom prediction is important for environmental management and ecological assessment. Two models were developed and evaluated for short-term algal bloom prediction. M5P is a classification and regression-analysis-based method, and ELM is a feed-forward neural network with fast learning using the least square estimate for regression. The dataset used in this study includes water temperature, rainfall, solar radiation, total nitrogen, total phosphorus, N/P ratio, and chlorophyll-a, which were collected on a daily basis from January 2013 to December 2016. The M5P model showed that the prediction model after one day had the highest performance power and dropped off rapidly starting with predictions after three days. Comparing the performance power of the ELM model with the M5P model, it was found that the performance power of the 1-7 d chlorophyll-a prediction model was higher. Moreover, in a period of rapidly increasing algal blooms, the ELM model showed higher accuracy than the M5P model.

• Plant Breeding and Biotechnology
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• 제5권4호
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• pp.363-370
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• 2017

In this study, Quercus acutissima seedlings were subjected to drought for 30 days then analyzed to determine their response to water deficit. The growth phenotype, chlorophyll fluorescence response, fresh weight, dry weight, photosynthetic pigment levels, soluble sugar content, and malondialdehyde (MDA) were measured to evaluate the effects of drought on plant growth and physiology. The growth phenotype was observed by infrared (IR) digital thermal imaging after 30 days of drought treatment. The maximum, average, and minimum temperatures of drought-treated plant leaves were $1-2^{\circ}C$ higher than those of the control. In contrast, the fresh and dry weights of the dehydrated leaves were generally lower than those of the control. There were no significant differences between treatments in terms of chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid levels. Nevertheless, for the drought treatment, the $F_v/F_m$ and $F_v/F_o$ ratios (chlorophyll fluorescence response) were lower than those for the control. Therefore, photosynthetic activity was lower in the dehydrated plants than the control. The drought-stressed Q. acutissima S0536 had lower soluble sugar (glucose and fructose) and higher MDA levels than the controls. These findings may explain the early growth and physiological responses of Q. acutissima to dehydration and facilitate the selection of drought-resistant tree families.

• Journal of Photoscience
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• 제9권2호
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• pp.356-358
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• 2002

Regioselective 3$^1$-$^{18}$ O-labelling of chlorophyll derivatives possessing a 3-formyl group such as methyl (pyro) pheophorbide-d (3, 4) was carried out efficiently by a simple one-step procedure; by stirring a homogeneous solution of tetrahydrofuran and H$_2$$^{18}$ O containing a small amount of trifuluoroacetic acid.

• 한국해양학회지
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• 제15권1호
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• pp.62-65
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• 1980

1976년 7월부터 1979년 5월까지 3년간 진해만의 표층에서 격월로 식물성플랑크톤 군집 변화에 영향을 미치는 환경요인(수온, 염분도, pH, 투명도, 용존산소, Chlorophyll-a,c, NO$_{2}$-N 및 PO$_{4}$-P)에 대하여 조사했다. 9가지 환경요인이 식물성플랑크톤 군집 변화에 37.20% 영향을 미치고 있었으며 각각의 환경요인으로는 PO$_{4}$-P, 투명도, Chlorophyll-a, 수온, 염분도 등이 중요한 요인이었으며 용존산소, NO$_{2}$-N, pH 및 Chlorophyll-c 는 크게 영향을 미치지 않고 있었다.

• Journal of Plant Biology
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• 제8권3호
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• pp.4-8
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• 1965

Wir wollten beobachten, ob die Chlorophyllbnahme von Chlorella luteoviridis(211/2b) bei Glukose-Zugabe durch Stickstoffmangel hervorgerufen worden ist, wie viele Leute bei mineralsalzmangel(Aach (1952, Fogg 1956 Eyster et al (1958), oder Photooxydationschlorose (Kandler 1958) vermuteten. Chlorella luteoviridis bildete nicht Chlorophyll bei Glukosezugabe wie bei Autotrophkultur, obwohl Stickstoffsynthese bei Autotrophkultur stark gef rdert worden ist. Bei Nitratanzucht mit Glukose (Mixotroph) waren die Zellvermehrung und Kohlenhydratbildung nicht so stark wie bei der Glukoseanzucht mit NH4Cl2 trotzdem nahm Chlorophyll ab. Chlorella luteoviridis bildete Chlorophyll im Dunkeln und St rkeakkumulation erschien nicht bei Glukoseanzucht.

• The Korean Journal of Ecology
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• 제19권4호
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• pp.295-304
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• 1996

KDICical substances from Artemisia scoparia were analyzed by gas chromatography. Seven phenolic compounds and thirty nine terpenoids were identified. Most abundant within each group were cinnamic acid and camphor, respectively. The KDICicals were prepared as aqueous extracts and then used for germination, growth, and chlorophyll content tests. The extracts were inhibitory to germination and seedling growth of the receptor lants. This inhibitory effect was dependent on concentration. When the effect of the aqueous extract on chlorophyll content was assayed, both chlorophylls a and b were shown to be reduced. The reduction in seedling elongation and growth in dry weight paralleled the reduction in chlorophyll concentration. These KDICical substances, including phenolic compounds and terpenoids, from Artemisia scoparia were responsible for the growth inhibition of the selected species.

• 환경위생공학
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• 제14권1호
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• pp.80-87
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• 1999

According to the fact that algae, which is usually used as a biosorbent, contains chlorophyll, we used the chlorophyll as an adsorbent. In this study, chlorophyll is immobilized by agar, which was made of platan, oak, ginkgo and pine. We investigated the removing capacity of biosorbents to toxic heavy metals (Pb, CU, Cd, Zn) in the single ion solution. Then the experimental parameters were pH, reaction time and concentration of heavy metal ions.The optimum conditions for the adsorption of heavy metals were as follows : pH range was 4~5, reaction time was 40mon, and the highest ratio of the removing rate was 50~70 ppm. The order of the amount of Pb, Cu and Cd removed was specified as oak > ginkgo > pine > platan in these conditions and as pine > ginkgo > oak > platan at Zn. Fro the results of the desorption experiments, we found that the heavy metal with the highest ratio of desorption in the single ion adsorbent was Cu.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.249-255
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• 1999

Water pollution is becoming a serious problem in the populous cities and coastal areas near industrial complex. Sometimes, phytoplankton is considered as the most important element in the coastal environment. Phytoplankton is easily estimated by measuring chlorophyll content in the laboratory. In this study, to build up estimating algorithm of the chlorophyll amount related to the monitoring of coastal environments in Kwangyang bay, the correlationship the respective in situ observed data with Landsat TM and SeaWiFS satellite Image was analyzed. It showed that Landsat TM band 3 image has the highest correlationship with observed data, and based upon this result the monitoring algorithm of chlorophyll in coastal area was extracted. This algorithm will be an important for extracting and controlling environment elements in coastal areas in the future. And it has a significant meaning that it has established a spatial data construction in which satellite image alone could monitor the coastal environment.

• 한국환경과학회지
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• 제7권6호
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• pp.817-825
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• 1998

A three-dimensional ecosystem model is applied to the Suyoung Bay, located at the southeastern part of Korea, to study of the material distribution in the time scale of several tens days. The model has included of the DIN(Dissolved Inorganic Nitrogen), DIP(Dissolved Inorganic Phosphate), phytoplankton, zooplankton and detritus, and also was coupled with the physical processes. The spatial distribution of chlorophyll-a and primary productivity in the model is determined by the physical and chemical-biological parameters. The horizontal distributions of the DIN, DIP and chlorophyll-a are decreased from the coast to the off-shore, though the nutrients show some more complicated pattern than the chlorophyll-a. The nutrient contents in the off-shore are low, and thus a relatively low productivity(chlorophyll-a) are presented. On the whole, the distribution of the results of model are smoother than the observed ones and some small scale variation in the observed data cannot be reproduced by the model due to the resolution limits of model. However, the basic pattern and the quantitavities has been reproduced by the model well.