• Journal of the Korean Institute of Rural Architecture
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• v.4 no.3
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• pp.13-22
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• 2002

Put by purpose to study about habitat of apartment house which is necessity of redevelopment that is not doing role of superannuation apartment house and worker apartment in the Geumsan county in this research. 1) social element : Legal element, surrounding environment 2) element construction enemy : Construction plan, building equipment, Construction structure Slump of economic structure Geum-san area apartment house and dwelling environment by deterioration of building are considered that need.

• Journal of Biosystems Engineering
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• v.18 no.4
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• pp.390-401
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• 1993

This study was conducted to analyze the optimum capacity of Rice Processing Complex (RPC) and to select the optimum location of RPC based on the analysis of rice production and its commercializing rate for each county of major area of paddy field nationally. The study results showed that 500 of RPC having a drying capacity of 3,000 tons of rice would be needed nationally based on the selection analysis.

• Journal of the Speleological Society of Korea
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• no.69
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• pp.1-7
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• 2005

The mountains and rivers in Guilin are famous for their beauty; the pines and rocks on Huangshan Mountains are well known for their magnificence. And now, another famous scenic zone that shall be one of the wonders of the world located in remote area of Northeast of China appears quietly, and it attracts lots of tourists and makes them reluctant to leave. That is Huanren, a Manchu county, which is famous as miraculous place.

• Proceedings of the Korean Environmental Health Society Conference
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• 2004.12a
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• pp.8-11
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• 2004

Objective To know about hygienic condition of drinking water in rural area of Kunming. Methods Selected 4 counties with different economy to investigate. In every county, according to the proportion, 10 drinking water spots were selected by randomization of lift drinking water'. Results In 4 areas, surface water for drinking is 82.41%, under water is 17.59%. And concentrated supply is 83.02% by populated proportion, others are 16.98%. 40 specimens qualification rate is 47.50%, and in it concentrated supply is 87.50%, others are 19.05%. Conclusion Unhealthy drinking water exist in most testing counties. Mainly microorganism isn't qualified. Concentrated management in drinking water is batter than other ways.

• Journal of Forest and Environmental Science
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• v.29 no.2
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• pp.138-146
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• 2013

The typical natural landscapes and temporal- spatial regulation of Land use change and their ecological effects at Hailun County were conducted and analyzed, based on the translated data from remote sensing images in 1986, 1996 and 2000 using GIS and landscape ecological theory. The results indicated the area of arable land, paddy field and city land increased 7,786.39 $hm^2$, 3391.18 $hm^2$ and 120.84 $hm^2$ while the area of forestry, grassland and marsh decreased 3,184.88 $hm^2$, 1,625.8 $hm^2$ and 3,994.85 $hm^2$ respectively during 14 years. Dry land is a main landscape in this area. These changes made the environmental quality worse gradually, such as land degradation, soil erosion and water and soil losses, and temperature getting warmer. This study is very important for the local ecological environment protect and agricultural sustainability and land resources sustainable using.

• Korean Journal of Environment and Ecology
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• v.36 no.6
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• pp.553-565
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• 2022

Awareness of the ecological value and importance of protected areas has increased as climate change accelerates, and there is a need for research on ecosystem services provided by nature. The natural park, which is a representative protected area in Korea, has a system of national parks, provincial parks, and county parks. National parks are managed systematically by the Korea National Park Service, but local governments manage provincial parks and county parks. There may be the same hierarchical differences in naturalness (habitat quality) depending on the hierarchy of the natural parks, but it has not been verified. To identify differences, we examined 22 mountain-type natural parks using habitat quality using the INVEST model developed by Stanford University. The analysis of the habitat quality, regardless of the type and area of the natural park, showed that it was higher in the order of Taebaeksan National Park (0.89), Juwangsan National Park (0.87), Woongseokbong County Park (0.86), and Gayasan National Park (0.85). The larger the area, the higher the value of habitat quality. A comparison of natural parks with similar areas showed that the habitat quality of national parks was higher than that of provincial parks and parks. On the other hand, the average habitat quality of county parks was 0.83±0.02, which was 0.05 higher than that of provincial parks at 0.78±0.03. Furthermore, the higher the proportion of forest areas within the natural park, the higher the habitat quality. The results confirmed that the naturalness of natural parks was independent of their hierarchy and that there are differences in naturalness depending on land use, land coverage, and park management.

• Journal of Korean Society of Rural Planning
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• v.16 no.3
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• pp.27-41
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• 2010

This study developed a settlement environment diagnostic indices (SEDI) of rural villages which can apply to analyze variable conditions of villages having development projects. The index consists of 5 diagnostic areas (first level) with 13 items (second level), including detail indices of 40 criteria (third level) defined by specialists' brainstorming process. In order to develop the index system, object-oriented approach was used to extract the 5 diagnostic areas (infra-basic settlement facility, life condition & environmental resources, industry & economic infrastructure, community, and residents) from rural villages. For the 40 criteria, it was introduced a quantification method that all villages have absolute values in national level, not relative value between villages within an unit area. The diagnostic diagram and table were developed to evaluate the villages compositively. The developed SEDI was applied to study areas, 56 villages in 2 subdivision areas of county, located on county of Keumsan. Applicability of the index system, database system should be developed with the surveying method of data in village level.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• v.4 no.1
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• pp.11-23
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• 2000

Photochemical air quality models are essential tools in predicting future air quality and assessing air pollution control strategies. To evaluate air quality using a photochemical air quality model, emission inventories are important inputs to these models. Since most emission inventories are provided at a county-level, these emission inventories need to be geographically allocated to the computational grid cells of the model prior to running the model. The conventional method for the spatial allocation of these emissions uses "spatial surrogate indicators", such as population for mobile source emissions and county area for biogenic source emissions. In order to examine the applicability of such approximations, more detailed spatial surrogate indicators were developed using Geographic Information System(GIS) tools to improve the spatial allocation of mobile and boigenic source emissions, The proposed spatial surrogate indicators appear to be more appropriate than conventional spatial surrogate indicators in allocating mobile and biogenic source emissions. However, they did not provide a substantial improvement in predicting ground-level ozone(O3) concentrations. As for the carbon monoxide(CO) concentration predictions, certain differences between the conventional and new spatial allocation methods were found, yet a detailed model performance evaluation was prevented due to a lack of sufficient observed data. The use of the developed spatial surrogate indicators led to higher O3 and CO concentration estimates in the biogenic source emission allocation than in the mobile source emission allocation.llocation.

• Journal of Construction Engineering and Project Management
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• v.7 no.1
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• pp.37-49
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• 2017

The Jinshanling section of the Great Wall of China is a series of fortifications in northern China that was constructed for strategic military defenses. This section was first built in the beginning of the Ming Dynasty in AD 1368 and then underwent major construction, reconstruction and renovation during the late Ming Dynasty, approximately in AD 1569. The Jinshanling section is 10.5 km long, a very short section compared with the entire 21,200 km wall. The wall section is located in Luanping County, Hebei province, China. This research paper focuses on the construction methods and materials of the wall and the towers in the area. The research methodology includes site visits, knowledge acquisition of experts and 3D graphic modeling. This study reveals that the materials selected for the structure include rubbles and rammed earth, bricks, stones, timber, and mortar. The erection sequence of the wall and the towers was a bottom-up fashion using various ancient construction techniques, such as the fire-setting rock blasting techniques and the surveying techniques from the Sea Island Mathematical Manual.

• Journal of Korean Society of Rural Planning
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• v.8 no.2 s.16
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• pp.42-49
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• 2002

Since legislation of Rural Minor Road Improvement Act 1990, a quarter of its total length had been paved now. However, over 80% of arterial road length(national+provincial roads) had been paved, so, road improvement policy should be focussed on the local road(county+rural minor roads) from now. Generally, in the greater part of coastal plain and island areas, arterial road intensity(total road length/total catchment area) is relatively low, but local road intensity is relatively high. So, in terms of balanced development, much more efforts for rural minor road improvement should be concentrated in coastal plain and islands areas. In Chonnam Province, the maximum differentials of minor rural road improvement ratio was over 20%(the lowest; 14.1% in Goheung, the highest; 35.6% in Goksung) in 1999, but the improvement budget have been allocated in proportion to unpaved road length of each county by the provincial government. However, the differentials should not be fairly narrowed in the near future if the present budget allocation policy be maintained. To solve this problem, target differentials of rural minor road improvement between regions should be set up for each planning year and road improvement budget be allocated according to this policy change.