• Journal of Korean Society of Forest Science
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• v.100 no.2
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• pp.273-282
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• 2011

This study was aimed to identify determinants of users' satisfaction and behavioral intention in Jirisan trail of Korea and provide effective trail building and management strategy. The result of survey by 645 trail users showed that four dimensions were derived from 14 satisfaction items, which were experiential resources, cost resources, information, amenities. Of these dimensions, experiential resources along trails including natural environment, the level of trail development, trail condition, cultural & tourist resources, kindness of residents had the greatest effect on overall satisfaction and behavioral intention, which included revisit intention, recommendation intention and continuance intention. According to analysis by detailed variables, natural environment, road signs, kindness of residents and related information significantly affected overall satisfaction and behavioral intention.

• Journal of Korea Water Resources Association
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• v.53 no.8
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• pp.569-582
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• 2020

Recently, Korea has faced a change in the pattern of water use due to urbanization, which has caused difficulties in understanding the rainfall-runoff process and optimizing the allocation of available water resources. In this perspective, spatially downscaled analysis of the water balance is required for the efficient operation of water resources in the National Water Management Plan and the River Basin Water Resource Management Plan. However, the existing water balance analysis does not fully consider water circulation and availability in the basin, thus, the obtained results provide limited information in terms of decision making. This study aims at developing a novel water circulation analysis model that is designed to support a quasi-real-time assessment of water availability along the river. The water circulation model proposed in this study improved the problems that appear in the existing water balance analysis. More importantly, the results showed a significant improvement over the existing model, especially in the low flow simulation. The proposed modeling framework is expected to provide primary information for more realistic hydrological drought monitoring and drought countermeasures by providing streamflow information in quasi-real-time through a more accurate natural flow estimation approach with highly complex network.

• Korean Journal of Environmental Biology
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• v.23 no.2 s.58
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• pp.141-145
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• 2005

Forest stand structure was surveyed to understand the Korean fir (Abies holophylla) dominant forest ecosystem in Nae-Sorak mountain. Despite limited surveyed area, a diverse forest structure, a characteristic in natural forests, is well presented in the area. According to Leibundgut's (1984) classification of forest structure, stand A, B represents declining stage, stand C regeneration stage, stand D combination of stabilizing and declining stage, and stand E unstable stage of selection.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1275-1277
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• 2003

This paper presents a geological remote sensing information extraction system, the aim of which is to provide practical models and powerful tools to extract geological information from remote sensing images for geological exploration applications. After reviewing and analyzing the existing methods for geological information extraction, we developed more than ten models to enhance and extract geological information, such as alteration information, linear features and special lithological characters. The system is developed based on Erdas Imagine using its programming language. It has been successfully used in the 'reat Investigation of Land and Natural Resources of China' program.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.67-73
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• 2007

Anhui Province, with a total north-south length of 570km and an east-west width of 450km and a total area of 139.6 thousand km2, accounts for 1.45% of China's total area. The landform and land feature of Anhui Province is diverse, and generally it can be divided into 5 natural regions: (1) Huaibei Plain; (2) Jianghuai Hillocks; (3) Dabie Mountains in the West of Anhui Province; (4) Yanjiang Plain, (5) Mountain Area of southern Anhui Province. Anhui Province is located in the transitional zone of warm and humid zone and subtropical zone, and its mean annual precipitation is 800-1800mm. The province, which has diverse climate, multiple land forms and many rivers and lakes, passes three basins (Huaihe River, Yangtze River and Xin'an River) and has large differences in the time distribution and regional distribution of water resource. Therefore, the development and usage conditions of the water resource in different regions are different.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1442-1444
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• 2003

This paper presents a geological remote sensing information extraction system, the aim of which is to provide practical models and powerful tools to extract geological information from remote sensing images for geological exploration applications. After reviewing and analyzing the existing methods for geological information extraction, we developed more than ten models to enhance and extract geological information, such as alteration information, linear features and special lithological characters. The system is developed based on Erdas Imagine using its programming language. It has been successfully used in the ‘Great Investigation of Land and Natural Resources of China’ program.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.9-9
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• 2000

For the planning of future land use for economic activities, an essential component is the identification of the vulnerable areas for natural hazard and environmental impacts from the activities. Also, exploration for mineral and energy resources is carried out by a step by step approach. At each step, a selection of the target area for the next exploration strategy is made based on all the data harnessed from the previous steps. The uncertainty of the selected target area containing undiscovered resources is a critical factor for estimating the exploration risk. We have developed not only spatial prediction models based on adapted artificial intelligence techniques to predict target and vulnerable areas but also validation techniques to estimate the uncertainties associated with the predictions. The prediction models will assist the scientists and decision-makers to make two critical decisions: (i) of the selections of the target or vulnerable areas, and (ii) of estimating the risks associated with the selections.

• The Korean Journal of Community Living Science
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• v.15 no.4
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• pp.33-44
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• 2004

The characteristics of social and cultural life in agricultural regions in Korea encompass several positive external effects: quality of food services, awareness of environmental conservation, aesthetic enjoyment of nature and so on. The objectives of this study were (1) to measure the awareness among Korean youth of the benefits of rural life; (2) to delineate the differences between rural and urban youth; and (3) to promote an awareness of the importance of the social benefits of living in the country. To fulfill these purposes, a field survey method was used. The subjects were 211 third grade students from middle schools in rural and urban regions in Korea. The statistical methods used for this data included frequencies, percentages, 1-tests, etc. The study generatedconclusive findings about viewpoints toward the natural environment, urban and rural social culture, and perceptions of economic status. It showed significant differences between rural and urban youth's awareness of ideas such as'green field supply','labor power supply'and 'biodiversity conservation'.

• Proceedings of the KSRS Conference
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• v.1
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• pp.455-458
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• 2006

Stretching on the coastline of 70 km, the Tam Giang - Cau Hai Lagoon plays a very important role for the coastal ecology and socio-economic development of Hue region where was Vietnam's Ancient Kingdom Capital and recognized as a World's Cultural Heritage. Recently, coastal hazard in the lagoon have occurred seriously such as inlet movement and fill up, coastal erosion, flood and inundation, etc. These hazards have impacted on lagoon environment, resources, ecosystems, socio-economic and sustainable development of this coastal area. This paper present a case study using remote sensing data in combination with ground survey for monitoring the coastal hazards in Tam Giang - Cau Hai lagoon in recent decades. Analysis results find that during its natural evolution, the lagoon has been being in three situations of only one, two and three inlets. When inlets opened or displaced, coastal erosion have occurred seriously toward new balance condition. Flood and inundation occurs every rainy season in lowland plain around lagoon. The historical flood happened in early of November 1999 with six days long, created very terrible damages for Thua Thien Hue province. Remote sensing data with capability of regular update, large area coverage is effective provide real-time and continuous information for coastal hazards monitoring.

• Korean Journal of Plant Taxonomy
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• v.46 no.1
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• pp.83-116
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• 2016

This study was carried out to investigate the flora and vegetation of Yokjido Island in Tongyeong-si, Korea. Vascular plants collected six times (from March of 2015 to January of 2016) were identified as 547 taxa in total, including 113 families, 354 genera, 487 species, four subspecies, 50 varieties, four forms and two hybrids. The first records from this region contained 314 taxa. In the flora of this area, endemic Korean species numbered eight taxa, and the red list of vascular plants according to the IUCN valuation basis numbered six taxa. In addition, 86 taxa of floristic regional indicator plants specially designated by the Ministry of Environment are included. Among the species investigated in this survey, 99 taxa were identified as specific species bio-geographically as compared floras of other terrestrial regions; 97 taxa of plants in southern areas and two taxa of limited distribution plants on the Korean Peninsula. In all, 74 naturalized plants were recorded in the investigated area. Samples of the forest vegetation of Yokjido Island were mainly classified as Pinus thunbergii community and the Alus firma community. Vertical structures of the communities were stable, and a DBH-class analysis showed that the dominant tree species would be maintained. If disturbance factors such as thinning could be halted, the composition of woody species and herbaceous species would change.