• Journal of Korea Water Resources Association
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• v.48 no.12
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• pp.1037-1049
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• 2015

The most of natural disasters that occur in North Korea are flood, typhoon and damage from heavy rain. The damage caused by those disasters since the mid-1990s is aggravating North Korea's economic difficulties every year. By recognizing the seriousness of the damages from the floods, the North Korean government has carried out the river maintenance, farmland restoration, land readjustment and afforestation projects since the last-1990s, but it has failed preventing the damages. In order to estimate the degree of flood risk regarding damage from chronic floods that occur inveterately in North Korea, this research conducted an additional simulation for rainfall-runoff analysis to reflect the characteristics of the ungauged area that make foreign countries hard to obtain the hydrological data and do not open the topographical data to public. In addition, this research estimates the degree of flood risk by selecting the factors of the hazard, exposure and vulnerability by following the standards of the Intergovernmental Panel on Climate Change (IPCC).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.2
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• pp.113-122
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• 2017

Natural disasters caused by climate change are increasing globally. There are few studies on the quantitative analysis methods for predicting damages in the island area due to sea level rise. Therefore, it is necessary to study the damage prediction analysis method using the GIS which can quantitatively analyze. In this paper, we analyze the cause and status of sea level rise, quantify the vulnerability index, establish an integrated terrestrial modeling method of the ocean and land, and establish a method of analyzing the damage area and damage scale due to sea level rise using GIS and the method of making the damage prediction figure was studied. In order to extract the other affected areas to sea level rise are apart of the terrain model is generated by one requires a terrain modeling of target areas are offshore and vertical reference system differences in land, found the need for correction by a tidal observations and geoid model there was. Grading of terrain, coastline erosion rate, coastal slope, sea level rise rate, and even average by vulnerable factors due to sea level rise indicates that quantitative damage prediction is possible due to sea level rise in the island area. In the case of vulnerable areas extracted by GIS, residential areas and living areas are concentrated on the coastal area due to the nature of the book area, and field survey shows that coastal changes and erosion are caused by sea level rise or tsunami.

• Journal of Animal Environmental Science
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• v.21 no.3
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• pp.105-112
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• 2015

This study was conducted to establish the research direction of heat stress in dairy cows by searching papers and patents. Research papers published before 2014 through National Digital Science Library (NDSL) and patents registered with United States Patent and Trademark Office (USPTO), Japan Patent Office (JPO), European Patent Office (EPO) and Korean Intellectual Property Office (KIPO) were investigated using the key words of heat stress index, genetics, facilities and feed. The research trend for heat stress in dairy cows was analyzed with 182 papers and 282 patents. Global warming due to increased atmospheric concentration of greenhouse gases is a major interest in recent years. The papers related with heat stress in cattle were increased after 2006. Besides, patents connected with facilities and feed will be increased due to development of ICT. In particular, the various studies including patents about heat stress in dairy cows will be needed to conduct because the climate of southern Korean peninsula is changing from temperate to subtropic.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.130-139
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• 2015

Korea country was set up over 30% greenhouse gas reduction target in comparision with BAU(Business as usal) at the national level, depending on climate change, which have been promoted as several technical and policy planning in order to reduce national greenhouse gas reduction. In this study, we derived the policies and technologies of power plant sector that is a high rate of reduction and public interest, we established a model for a common evaluation indicators and each of the evaluation factors between policy and technology priorities based on appropriate subject experts using analytic hierarchy process(AHP). Further we suggest insight to electricity company to establish the investment strategies of the technology and the associated policy by applying a weight evaluation index presenting a comprehensive priority.

• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.533-543
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• 2015

This study investigated the chemical composition of Artemisia princeps var. orientalis (Pampan) Hara (ssuk in Korea) essential oil and the quantitative changes of major terpene compounds according to the time of harvest. The essential oils obtained by hydrodistillation extraction from the aerial parts of ssuk were analyzed by GC and GC-MS. The essential oil composition of ssuk was characterized by higher contents of mono- and sesqui- terpene compounds. Ninety-nine volatile flavor compounds were identified in the essential oil from ssuk harvested in 2010, with camphor (11.9%), ${\beta}-caryophyllene$ (9.11%), dehydrocarveol (8.51%), and borneol (7.72%) being the most abundant compounds. Eighty-three compounds were identified in the essential oil from the plant harvested in 2011, with borneol (12.36%), caryophyllene oxide (12.29%), ${\beta}-caryophyllene$ (10.24%), camphor (9.13%), and thujone (8.4%) being the most abundant compounds. Eighty-four compounds were identified in the essential oil from the plant harvested in 2012, with ${\beta}-caryophyllene$ (20.25%), caryophyllene oxide (14.63%), and thujone (11.55%) being the major compounds. Eighty-nine compounds were identified in the essential oil from the plant harvested in 2013, with thujone (23.11%), alloaromadendrene oxide (12.3%), and ${\beta}-caryophyllene$ (11.48%) being the most abundant compounds. Thujone and aromadendrene oxide contents increased significantly from 2010 to 2013, while camphor and dehydrocarveol contents decreased significantly during those 4 years. The quantitative changes in these 4 compounds according to the time of harvest can served as a quality index for ssuk essential oil. The ecological responses to recent climate changes may be reflected in the chemical components of natural plant essential oils.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.1
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• pp.57-70
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• 2017

In this study, we evaluated daily root zone soil moisture dynamics and agricultural drought using a near-surface soil moisture data assimilation scheme with Soil Moisture Active & Passive (SMAP, $3km{\times}3km$) soil moisture footprints under different hydro-climate conditions. Satellite-based LANDSAT and MODIS image footprints were converted to spatially-distributed soil moisture estimates based on the regression model, and the converted soil moisture distributions were used for assessing uncertainties and applicability of SMAP data at fields. In order to overcome drawbacks of the discontinuity of SMAP data at the spatio-temporal scales, the data assimilation was applied to SMAP for estimating daily soil moisture dynamics at the spatial domain. Then, daily soil moisture values were used to estimate weekly agricultural drought based on the Soil Moisture Deficit Index (SMDI). The Yongdam-dam and Soyan river-dam watersheds were selected for validating our proposed approach. As a results, the MODIS/SMAP soil moisture values were relatively overestimated compared to those of the TDR-based measurements and LANDSAT data. When we applied the data assimilation scheme to SMAP, uncertainties were highly reduced compared to the TDR measurements. The estimated daily root zone soil moisture dynamics and agricultural drought from SMAP showed the variability at the sptio-temporal scales indicating that soil moisture values are influenced by not only the precipitation, but also the land surface characteristics. These findings can be useful for establishing efficient water management plans in hydrology and agricultural drought.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.171-198
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• 2009

The issue of burden sharing between sectors has become a pertinent national issue with respect tothe establishment of national greenhouse gas (GHG) reduction targets, and the means to achieve these targets. This study explores methods for equitable sectoral allocation to reduce GHGs based on an allocation index taking into account relevant attributes in line with national GHG emissions trends and structures. This paper considered potential for GHG reduction, rate of increase of emissions, and ability to pay as suitable criteria for analysis of each sector. As a result of the analysis, it was found that equitable allocation methods have significantly different burden sharing compared to allocation that considers only potential for GHG reduction. Accordingly, further empirical study on various simulations based on national economic impact will be essential for better policy solutions. This study will contribute to applying national allocation plans in a logical, consistent and transparent manner.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.97-100
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• 2009

The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. An adaptive feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. In this study, the Normalized Difference Vegetation Index (NDVI) was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula for 1996 and 2000 using a dynamic technique, and the adaptive reconstruction of harmonic model was then applied to the NDVI time series for tracking changes on the ground surface. The results show that the adaptive approach is potentially very effective for continuously monitoring changes on near-real time.

• KIEAE Journal
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• v.10 no.1
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• pp.33-44
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• 2010

These days, the use of alternative energy is recognized as one of countermeasures to rising oil prices and climate-change agreements. Especially, it is regarded as a main element to realize 'Low-Carbon Green Growth', one of the key policies of MB government. However, though alternative energy, renewable energy, is a main policy issue of the present administration, there are many problems to solve: the lack of recognition of its energy, the low level of its technology, its expert's shortage, and its limited application fields. Therefore, to stimulate the use of alternative energy in Korea and to change the recognition of this energy, it is needed to utilize it to urban street furniture that many people visit and use. In particular, if alternative energy is first applied to street furniture that needs energy for its management, the effect of publicity and energy saving will be so great. In this study, for the basic research to introduce and promote various alternative energy sources such as solar power, wind power, small hydro power, and human power, we analyzed the present condition of development of Korean and foreign street furniture items. Furthermore, we evaluated the level of development of these street furniture products and the design types of them and from these evaluations suggested the design direction that can solve problems in development and improve the possibility of application of these energy sources to these street furniture items. Through these analyses, this study aims to enhance the image of future environment-friendly city and make new index for the application of alternative energy.

• The Plant Pathology Journal
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• v.31 no.4
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• pp.402-413
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• 2015

Yellow rust (stripe rust), caused by Puccinia striiformis f. sp. tritici, is one of the most destructive foliar diseases of wheat in Egypt and worldwide. In order to identify wheat genotypes resistant to yellow rust and develop molecular markers associated with the resistance, fifty F8 recombinant inbred lines (RILs) derived from a cross between resistant and susceptible bread wheat landraces were obtained. Artificial infection of Puccinia striiformis was performed under greenhouse conditions during two growing seasons and relative resistance index (RRI) was calculated. Two Egyptian bread wheat cultivars i.e. Giza-168 (resistant) and Sakha-69 (susceptible) were also evaluated. RRI values of two-year trial showed that 10 RILs responded with RRI value >6 <9 with an average of 7.29, which exceeded the Egyptian bread wheat cultivar Giza-168 (5.58). Thirty three RILs were included among the acceptable range having RRI value >2 <6. However, only 7 RILs showed RRI value <2. Five RILs expressed hypersensitive type of resistance (R) against the pathogen and showed the lowest Average Coefficient of Infection (ACI). Bulked segregant analysis (BSA) with eight simple sequence repeat (SSR), eight sequence-related amplified polymorphism (SRAP) and sixteen random amplified polymorphic DNA (RAPD) markers revealed that three SSR, three SRAP and six RAPD markers were found to be associated with the resistance to yellow rust. However, further molecular analyses would be performed to confirm markers associated with the resistance and suitable for marker-assisted selection. Resistant RILs identified in the study could be efficiently used to improve the resistance to yellow rust in wheat.