Solar energy, which is rapidly increasing in proportion, is being continuously developed and invested. As the installation of new and renewable energy policy green new deal and home solar panels increases, the supply of solar energy in Korea is gradually expanding, and research on accurate demand prediction of power generation is actively underway. In addition, the importance of solar radiation prediction was identified in that solar radiation prediction is acting as a factor that most influences power generation demand prediction. In addition, this study can confirm the biggest difference in that it attempted to predict solar radiation using medium-term forecast weather data not used in previous studies. In this paper, we combined the multi-linear regression model, KNN, random fores, and SVR model and the clustering technique, K-means, to predict solar radiation by hour, by calculating the probability density function for each cluster. Before using medium-term forecast data, mean absolute error (MAE) and root mean squared error (RMSE) were used as indicators to compare model prediction results. The data were converted into daily data according to the medium-term forecast data format from March 1, 2017 to February 28, 2022. As a result of comparing the predictive performance of the model, the method showed the best performance by predicting daily solar radiation with random forest, classifying dates with similar climate factors, and calculating the probability density function of solar radiation by cluster. In addition, when the prediction results were checked after fitting the model to the medium-term forecast data using this methodology, it was confirmed that the prediction error increased by date. This seems to be due to a prediction error in the mid-term forecast weather data. In future studies, among the weather factors that can be used in the mid-term forecast data, studies that add exogenous variables such as precipitation or apply time series clustering techniques should be conducted.
To assess the characteristics of meiofaunal community fluctuations related to environmental factors, seasonal surveys were conducted in the subtidal zone of Hallyeohaesang National Park. The average depth of the study area was about 20 m, and the average water temperature at the bottom was low in winter(11.33℃) and high in summer(17.95℃). The sedimentary particles mainly comprised silt and clay at most stations. The abundance of meiofauna ranged from 81.7 to 1,296.5 Inds. 10 cm-2, and the average abundance was 589.3 Inds. 10 cm-2. The average abundance of meiofauna in each season was the lowest at 416.5 Inds. 10cm-2 in winter and the highest at 704.5Inds.10 cm-2 in spring. The dominant taxa were nematodes (about 92%) and harpacticoids (about 5%). In the cluster analysis of meiofaunal communities, they were divided into four significant groups. The largest group mainly contained spring and summer samples, and contained stations with a high nematode density of over 500 Inds. 10 cm-2 and harpacticoids below 50 Inds. 10 cm-2 with a high composition ratio of nematodes. In the cluster analysis, no regional division was found between the stations, and it was thought to be divided by the seasons with high abundance according to seasonal variation and the composition ratio of nematodes and harpacticoids. In the Spearman rank correlation analysis, the density of total meiofauna and the most dominant taxa, nematodes, was not significantly related to environmental factors. However, the density of harpacticoids had a significant positive correlation with water depth and a negative correlation with sediment particle size.
The Mansugol valley forest in Woraksan National Park was studied to investigate forest structure in relation to altitude and part of the slope. Forty eight quadrats were set up in the valley forest along altitude of 380m to 915m and part of the slope, and vegetation analysis for the woody species in the tree and subtree layers were carried out. With increasing elevation belt, tree density and basal area of the tree layer decreased while basal area of the subtree layer increased. As elevation increased, the importance percentages of Quercus mongolica, Fraxinus rhynchophylla, Lindera obtusiloba and Acer mono increased while those of Pinus densiflora, Quercus variablias Quercus serrata and Styrax obassia decreased. Species diversities of the elevation belts including the top of the valley ranged from 0.351 to 0.903, and those of the parts of the slope ranged from 0.780 to 1.064. The range of similarity indices between elevation belts were $36.0\~67.3\%$, and the range of similarity indices between parts of the slope were $66.8\~75.1\%$. According to importance percentage and cluster analysis, the studied valley forest was classified into three forest communities of Pinus densiflora-Quecus species community in the low elevation belt and the middle part of the slope at the middle elevation belt, Quercus mongolica-broad-leaved tree species community in the high elevation belt and the lower and upper parts at the middle elevation belt, and Quercus mongolica community in the top area of the valley. The importace percentage of Quercus mongolica was significantly and negatively correlated with those of Pinus desiflora and Quercus serrata. There were significantly positive correlation among Pinus densiflora, Quercuss serata and Rhus trichocarpa.
The valley forests located at the east-facing slope and the west facing slope in Hambaeksan area were studied to investigate forest structure in relation to aspect and altitude of the slope. There was little difference in density. mean DBH and basal area of the tree layer between east-facing slope and west-facing slope. The importance percentages of Tilia amurensis and Betula costata in west-facing slope were higher than those in east-facing slope. However, the importance percentages of Quercus mongilica and Fraxinus rhynchophylla in the west facing slope were lower than those in east-facing slope. Species diversity of the west-facing slope was 1.415 and that of the east-facing slope was 1.328. Elevation trends were also found for forest structure. As elevation Increased basal area and mean height of the tree layer decreased in both of east-facing slope and west-facing slope. There was a tendency that number of species, species diversity and evenness decreased with increasing elevation. The importance percentage of Quercus mongolica increased with increasing elevation while those of Betula costata and Maackia amurensis decreased. The result of cluster analysis for the tree and subtree layer indicated that the studied forests were classified into the mixed forest community of broad-leaved tree species at west-facing slope and the low and middle elevation belts of east-facing slope and Quercus mongolica community at the high elevation belt of east-facing slope. Quercus mongolica was significantly and positively correlated with Symplocos chinensis for. pilosa, Acer tschonoskii var. rubripes and deutzia glabrata. Betula costata was significantly and negatively correlated with Quercus mongolica and Acer pseudo-sieboldianum.
Journal of the Korean Society for Marine Environment & Energy
/
v.19
no.1
/
pp.37-46
/
2016
This study describes the spatio-temporal distributions in phytoplankton community such as species composition, standing crops and dominant species from April to November 2008 in the Uljin Marine Ranching Area (UMRA). A total of 123 species of phytoplankton belonging to 67 genera was identified. In particular, diatoms and dinoflagellates were occupied more than 60.5% and 34.6% of total species, respectively. The annual dominant species were Thalassiosira sp., Pseudo-nitzschia pungens in spring, Leptocylindrus danicus, Guinardia striata in early summer, Cheatoceros cirvisetus, Ch. decipiens in early autumn and Skeletonema costatum -ls (like species), Pn. pungens in autumn. Phytoplankton cell density fluctuated with an annual mean of $48cells{\cdot}mL^{-1}$ between the lowest value of $1.8cells{\cdot}mL^{-1}$ in early autumn and the highest value of $240cells{\cdot}mL^{-1}$ in spring. According to the cluster analysis, the phytoplankton community of the UMRA was characterized by the nutrient supply from land side and water movement as current.
KSCE Journal of Civil and Environmental Engineering Research
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v.32
no.6D
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pp.655-662
/
2012
The aim of this study is to analyze tthe pattern of compacted area and the distribution characteristics in one-person household. Through ArcGis, we collect the basic data and classify the compact area in accordance with the pattern employing Ward method out of cluster analysis. The main results are found as follows; First, the station sphere type is located around Seomyun and Nampo-dong, which are the main CBD( Central Business District) This type must be essentially considered in residential plan for one-person household location. Second, the district oriented type is located around the subway and it has relatively better residential facilities and environments. Third, it is found that the younger worker including students resided in one room and villa in the type around university. Forth, the foreign workers and domestic workers in small and medium factory resided in the factory centered type which is far from the station sphere. Lastly, it is dormitory type which is isolated from the CBD, and insteadly amenable and well natural environment area, but students and workers in this area where there are lacking life-related facilities and aside from accessibilities feel uncomfortable.
Journal of the Korean association of regional geographers
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v.18
no.4
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pp.464-472
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2012
To assess the space-time clustering of FMD(Foot-and-Mouth Disease) epidemic occurred in Korea between November 2010 to April 2011, geographical information system (GIS)-based spatial analysis technique was used. Farm address and geographic data obtained from a commercial portal site were integrated into GIS software, which we used to map out the color-shading geographic features of the outbreaks through a process called thematic mapping, and to produce a visual representation of the relationship between epidemic course and time throughout the country. FMD cases reported in northern area of Gyounggi province were clustered in space and time within small geographic areas due to the environmental characteristics which livestock population density is high enough to ease transmit FMD virus to the neighboring farm, whereas FMD cases were clustered in space but not in time for southern and eastern area of Gyounggi province. When analyzing the data for 7-day interval, the mean radius of the spatial-time clustering was 25km with minimum 5.4km and maximum 74km. In addition, the radius of clustering was relatively small in the early stage of FMD epidemic, but the size was geographically expanded over the epidemic course. Prior to implementing control measures during the outbreak period, assessment of geographic units potentially affected and identification of risky areas which are subsequently be targeted for specific intervention measures is recommended.
Journal of the Korean Institute of Landscape Architecture
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v.42
no.3
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pp.76-89
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2014
The functions of urban park including health related benefit and climate adaptation and mitigation are expanding. However, in-depth research and discourse on the equitable distribution of expanded park function has been limited so far. Following research suggests Green Welfare concept to reflect distributive equity and multifunctionality in the process of urban park policy development and execution. This study developed park welfare indices to analyze disparities of neighborhood urban park(NUP) distribution viewed from green welfare by literature review. The findings analyzed through the Correlation Analysis and Cluster Analysis by SPSS 18.0. The results of the study are as follows. First, green welfare is defined as "to receive equitable benefits and participate in the delivery process of green services which are promoting health and securing safety from climate change risks for every citizen by life cycle regardless of socioeconomic status". Second, NUP per person in Seoul indicate meaningful differences by socioeconomic and environmental status of Seoul administrative districts. Park welfare indices correlated to NUP per person were shown population density(negative), percentage of individuals $aged{\geq}65$(positive), percentage of self-reliance of local finance(positive), flood and air pollution vulnerability by climate change(negative). Third, the cluster analysis identifies three significant clusters that indicate differences of park welfare level. Thus, it was found that NUP in Seoul from a green welfare perspective was provided disproportionately. Future urban park policy in Seoul was required equitable distribution of multifunctionality of park beyond quantitative expansion, and priority consideration should be given to park service consumer.
Journal of the Korean Association of Geographic Information Studies
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v.13
no.3
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pp.14-28
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2010
The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.
We have examined the correlation between the physicochemical and microbiological environment variables for the different layers of oak forest soil in Mt. Gyeryong, Korea. The result shows that there is a high correlation in the environment variables between the soil parameters of the fermented (F) layer and humus (H) layer. In particular, the pH level in the F layer shows a high correlation with C and N, while the various organic acids of the H layer turns out to be closely correlated with soil bacteria density. As we evaluated phylogenetic characteristics of bacterial populations by DGGE analysis with DNA extracted. Total of 175 bands including 43 bands from litter (L) layer, 42 bands from F layer, 43 bands from H layer and 47 bands from rhizosphere (A) layer were selected as the major DGGE band of oak forest soil. Based on the 16S rRNA gene sequences, 175 DGGE bands were classified into 32 orders in 7 phylum. The heat map was analyzed in order to compare the quantity of the base sequences of each order and based on the clustering of the different layers of oak forest soil, the result confirms that the F layer and H layer belong to a different cluster from that of L layer and A layer. Furthermore, it also showed that approximately 50% of the total microbial population in different layers is ${\alpha}$-proteobacteria, which indicates that they belong to the dominant system group. In particular, Rhizobiales, Burkholderiales and Actinobacteriales were observed in all the seasons and layers of oak forest soil, which confirms that they are the indigenous soil bacterial community in oak forest soil.
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