• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.129-143
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• 2012

This paper demonstrates the effectiveness of advanced spatial modeling techniques for environmental monitoring and impact assessment through a case study of Chernobyl nuclear accident occurred in 1986. Land-cover types changed after the accident are analysed by a post classification comparison method using bi-temporal Landsat TM data acquired in 1986 and 1992 near the accident site. Spatial modeling including various kriging algorithms are also applied to analyze the relationships between Cesium concentrations in soil and thyroid cancer incidence rates in Belarus, which was greatly damaged by the accident. The change detection results clearly showed the decrease of croplands and the increase of abandoned lands, and concrete structures were newly built around the nuclear plant to prevent the spread of radioactive contamination. In Belarus, high Cesium concentrations were observed in southern areas with high thyroid cancer risk estimated by Poisson kriging. Geographically weighted regression, which could account for geographic variations of independent variables including Cesium concentrations and distances from the Chernobyl nuclear power plant, was applied to extract the relationships between the independent variables and the thyroid cancer risk. The estimated risk values showed a correlation coefficient value of 0.98 with respect to the thyroid cancer risk values, which implied that the thyroid cancer risk in Belarus was affected by the accident. In conclusion, it is expected that advanced spatial modeling techniques applied in this study would be useful for environmental impact assessment and public health research.

• Korean Journal of Plant Taxonomy
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• v.37 no.4
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• pp.477-502
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• 2007

The Aconitum alboviolaceum Kom. complex includes four controversial species described from Korea; A. albouiolaceum, A. pseudolaeue, A. longecassidatum, and A. quelpaertense. The main objective of this study was to determine the taxonomic identities and systematic relationships among the species in the A. albouiolaceum complex based on morphology, numerical analyses and DNA sequence analysis. In the present study, variations in the principal morphological characters and chloroplast DNA noncoding region sequences (psbA-trnH IGS, trnL intron, and trnL-trnF IGS) were examined for 95 individuals from 20 populations. Also, neighbor-joining analysis was adopted to infer their relationships. Morphological variation appeared to be considerably high but not to be related to geographic distribution. These morphological results suggest that reevaluation of key morphological characters are needed for the proper taxonomic treatment of the complex. The length of psbA-trnH IGS region ranged from 241 to 250 bp, that of the trnL intron from 526 to 532 bp, and that of the trnL-trnF IGS region from 466 to 472 by in all taxa. Nine haplotypes were recognized from the analysis. Seven populations shared more than two haplotypes, while other thirteen populations shared only one haplotype. In the phylogenetic analysis, the nine haplotypes formed four groups, separated A. sibiricum, one of the sister groups of the complex. There also was no distinct grouping pattern supporting the species and populations observed. These results suggest that introgression or speciation might have been involved in the formation of taxa of A. alboviolaceum complex.

• Korean Journal of Plant Taxonomy
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• v.45 no.3
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• pp.254-261
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• 2015

Genetic variations of Abies koreana and Abies nephrolepis were assessed using two mitochondrial DNA regions (nad5 intron 4 and nad5 intron 1) for 16 natural populations to understand their phylogeographical history. Seven polymorphic sites of the two combined regions resulted in the resolution of four haplotypes (M1-M4). The average gene diversity within the population ($H_S$) was 0.098, the total gene diversity ($H_T$) was 0.620, and the interpopulation differentiation was $G_{ST}=0.841$, $N_{ST}=0.849$. The populations were divided into three groups (northern area, central area, southern area) according to their geographic locations. The populations of the northern and southern areas were mostly fixed for M1 and M2, respectively. The populations of the central area showed the highest levels of gene diversity ($H_T=0.654$) due to introgression from the northern area and southern area. The presence of a single mtDNA haplotype in the southern area suggests that current widespread populations have expanded to the central area from a specific refugium population after the last glacial period.

• Korean Journal of Plant Taxonomy
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• v.42 no.1
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• pp.40-49
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• 2012

The NE Asiatic Solidago virgaurea complex in Korea has been reported on 5 taxa (S. virgaurea subsp. asiatica, S. virgaurea var. taquetii, S. virgaurea var. coreana, S. virgaurea subsp. leiocarpa, and S. virgaurea subsp. gigantea). However, the broad morphological variations and a lack of diagnostic characteristics have made it difficult to distinguish these taxa and have thus resulted in a complicated taxonomy in the complex. Therefore, to clarify the classification and delimitation of each taxon, the morphological characteristics of the S. virgaurea complex were investigated by examining the original descriptions and type specimens. Field work was also conducted to investigate the morphological and geographic features. In conclusion, S. japonica Kitam., as a legitimate name, was distributed all over the country except for the Is. Ulleung-do in Korea, as distinguished from S. virgaurea L. Both S. virgaurea var. taquetii and S. virgaurea var. coreana were considered as synonyms of S. japonica, as their morphological characteristics were within the variation range of those of S. japonica. Furthermore, S. virgaurea subsp. leiocarpa does not occur in Korea. Additional investigations are required to clarify the classification of S. virgaurea subsp. gigantea, whose populations were not found during the investigation in this study. S. dahurica, meanwhile, was distributed in the northern part of North Korea.

• Proceedings of the KSRS Conference
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• v.1
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• pp.174-179
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• 2006

Information on the distribution characteristics of tuna resources in Kiribati EEZ waters in three zones (Zone 1: west Gilbert region, Zone 2: central Phoenix region, and Zone 3: east Line region) as well as their relationship with the ocean environment is critical for sustainable managing the migratory tuna resource and fishing practices in this region. Therefore, this study is designed to investigate the spatial and temporal distribution and concentration of bigeye (BET) and yellowfin tuna (YFT) in Kiribati EEZ waters in relation to sea surface temperature (SST) and thermocline depth so as to better understand the tuna resources management basis in Kiribati waters. The geographic and temporal distribution and concentration were first displayed. Paired t-test was utilized to compare the distribution between the two tuna species based on Catch per Unit Effort (CPUE) derived from the Korean longliners during 1996 to 2004, and also among the three zones of Kiribati EEZ waters. Environmental conditions of the three zones were then compared and correlated with the CPUE of YFT and BET. In addition, the effect of ENSO phenomena on the environmental conditions and the distribution of YFT and BET within the three zones were also examined. The BET was relatively higher in the Zone 3 whereas YFT predominate in the Zone 1 and the Zone 2 due to oceanographic differences among the three zones and the ecological habitats of the two tuna species. It was suggested that El Ni?o/Southern Oscillation (ENSO) phenomena altered the oceanographic conditions of the three zones that in turn change the distribution of the two tuna species. During El Ni?o, the warm phase of ENSO, resulted in having more BET in all the three zones and the opposite observed during La Ni?a (cold phase) replacing by having relatively higher catch rate for YFT, particularly in the Zone 2. Although the results of the study are from short periods (1996 to 2004) in considering oceanographic anomality, these environmental variations should be considered into sustainable fisheries management of tuna fisheries in Kiribati EEZ waters.

• Spatial Information Research
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• v.4 no.2
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• pp.131-146
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• 1996

The purpose of this study is to extract the main locational factors to affect the location of fastfood stores in Kangnam -Gu, Seoul by using Geographic Information Systems. The Franchise system, which came to be employed in full scale since 1990, now enjoying the booming period, especially fast food industry. The procedure of this research has four steps. First, the spatial distribution of fastfood chain stores in Seoul is analyzed by the land use and road map. Second, the spatial variations of fastfood stores in dong districts of Seoul is explained by multiple regression analysis. Third, the main locational factors to affect the location of fast food stores in Kangnam -Gu are extracted by demand and supply sides using GIS technologies. Finally, the potentiallocational zones where are selected by extracted locational factors are compared with the actual distribution of f astf ood stores in Kangnam - Gu. In terms of demand side, the main locational factors include commercial and service facilities, sub¬ways and bus stops which have a lot of pedestrians, and large apartment districts that have high popu¬lation densities. In terms of supply sides, the main locational factors include land use types and land value, accessibility. After fast food chain stores of Kangnam -Gu are overlaid final potentiallocational zones extracted by demand and supply sides of locational factors, it can be identified that over 80 % of fastfood stores are located in the potentiallocational zone. In conclusion, this study shows that spatial analysis functions may potentially be improved using GIS technologies. However there are still difficulties for the locational analysis for service industries to col¬lect appropriate data in terms of computerized base maps as well as consumer behavior and store characteristics itself.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.2959-2964
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• 2014

While several reproductive and lifestyle-related factors are already well-known as established risk factors for breast cancer, environmental factors have attracted attention only recently. The objective of the current study was to assess the association between the breast cancer incidences in females, the mortality rate and the number of motor vehicles on the one side and the consumption of gasoline which could work as a major source of air pollution at the other side. The breast cancer incidences and the mortality trends were compared with various indices of westernization like dietary patterns or industrialization with 10 years lag of time. Geographical variations with 10, 15 and 20 years lag of time were assessed between the breast cancer incidence in 2010 and the number of motor vehicles as well as the consumption of gasoline. The upward trend of motor vehicle numbers proved to be comparable to those of breast cancer incidence and mortality. However, the consumption of gasoline started to decrease since the mid-1990s. The geographic distribution of motor vehicle numbers and gasoline consumption in 1990 is in a positive correlation with the breast cancer incidence rates in 2010 and the 20-year lag time ($R^2$ 0.379 with the number of motor vehicles and 0.345 with consumption of gasoline). In a linear relationship between the breast cancer incidences in 2010 and the log transformed number of motor vehicles, the log transformed consumption of gasoline in 2000 also showed a positive relationship ($R^2$ 0.367 with the number of motor vehicles and 0.329 with consumption of gasoline). The results of the current study indicate that there may be a positive relation between the number of vehicles, gasoline consumption and the incidence of breast cancer from the aspects of long-term trends and geographical variation.

• Journal of Korea Water Resources Association
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• v.44 no.3
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• pp.169-177
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• 2011

The impacts of climate change on paddy irrigation water demands in Korea have been analyzed. High-resolution ($27{\times}27\;km$) climate data for the SRES A2 scenario produced by the Korean Meteorological Research Institute (METRI) and the observed baseline climatology dataset were used. The outputs from the ECHO-G GCM model were dynamically downscaled using the MM5 regional model by the METRI. The Geographic information system (GIS) was used to produce maps showing the spatial changes in irrigation water requirements for rice paddies. The results showed that the growing season mean temperature for future scenarios was projected to increase by $1.5^{\circ}C$ (2020s), $3.3^{\circ}C$ (2050s) and $5.3^{\circ}C$ (2080s) as compared with the baseline value (1971~2000). The growing season rainfall for future scenarios was projected to increase by 0.1% (2020s), 4.9% (2050s) and 19.3% (2080s). Assuming cropping area and farming practices remain unchanged, the total volumetric irrigation demand was projected to increase by 2.8% (2020s), 4.9% (2050s) and 4.5% (2080s). These projections are contrary to the previous study that used HadCM3 outputs and projected decreasing irrigation demand. The main reason for this discrepancy is the difference with the projected climate of the GCMs used. The temporal and spatial variations were large and should be considered in the irrigation water resource planning and management in the future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.295-303
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• 2012

Clarify wind energy productivity depends on three factors: the wind probability density function(PDF), the turbine's power curve, and the air density. The wind PDF gives the probability that a variable will take on the wind speed value. Wind shear refers to the change in wind speed with height above ground. The wind speed tends to increase with the height above ground. also, Wind PDF refers to the change with height above ground. Wind analysts typically use the Weibull distribution to characterize the breadth of the distribution of wind speeds. The Weibull distribution has the two-parameter: the scale factor c and the shape factor k. We can use a linear least squares algorithm(or Ln-least method) and moment method to fit a Weibull distribution to measured wind speed data which data was located same site and different height. In this study, find that the scale factor is related to the average wind speed than the shape factor. and also different types of terrain are characterized by different the scale factor slop with height above ground. The gross turbine power output (before accounting for losses) was caculated the power curve whose corresponding air density is closest to the air density. and air desity was choose two way. one is the pressure of the International Standard Atmosphere up to an elevation, the other is the measured air pressure and temperature to calculate the air density. and then each power output was compared.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.1
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• pp.21-30
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• 2017

Soil erosion has been issued in many countries since it causes negative impacts on ecosystem at the receiving water bodies. Therefore best management practices to resolve the problem in a watershed have been developed and implemented. As a prior process, there is a need to define soil erosion level and to identify the area of concern regarding soil erosion so that the practices are effective as they are designed. Universal Soil Loss Equation (USLE) were developed to estimate potential soil erosion and many Geographic Information System (GIS) models employ USLE to estimate soil erosion. Sediment Assessment Tool for Effective Erosion Control (SATEEC) is one of the models, the model provided several opportunities to consider various watershed peculiarities such as breaking of slope length, monthly variation of rainfall, crop growth at agricultural fields, etc. SATEEC is useful to estimate soil erosion, however the model can be implemented with ArcView software that is no longer used or hard to use currently. Therefore SATEEC based on ArcView was rebuild for the ArcGIS software with all modules provided at the previous version. The rebuilt SATEEC, ArcSATEEC, was programmed in ArcPy and works as ArcGIS Toolset and allows considering monthly variations of rainfall and crop growth at any watershed in South-Korea. ArcSATEEC was applied in Daecheong-dam watershed in this study, monthly soil erosion was estimated with monthly rainfall and crop growth variation. Annual soil erosion was computed by summing monthly soil erosion and was compared to the conventional approach to estimate annual soil erosion. The annual soil erosion estimated by the conventional approach and by summing monthly approach did not display much differences, however, ArcSATEEC was capable to provide monthly variation of soil erosion.