In recent years, the urban thermal environment has become worse, such as days on which the temperature goes above 30℃, sultry nights and heat stroke increase, due to the changes in terrestrial cover such as concrete and asphalt and increased anthropogenic heat emission accompanied by artificial structure. The land use type is an important determinant to near-surface air temperature. Due to these reasons we need to understand and improve the urban thermal environment. In this study, the fifth-generation Pennsylvania State University- National Center for Atmospheric Research Mesoscale Model(MM5) was applied to the metropolitan of Daegu area in order to investigate the influence of land cover changes and urban modifications increase of Albedo to the surface energy budget on the simulated near-surface air temperature and wind speed. The single urban category in existing 24-category U.S. Geological survey land cover classification used in MM5 was divided into 6 classes to account for heterogeneity of urban land cover. As a result of the numerical simulation intended for the metropolitan of Daegu assumed the increase of Albedo of roofs, buildings, or roads, the increase of Albedo (Cool scenario)can make decrease radiation effect of surface, so that it caused drops in ambient air temperature from 0.2 to 0.3 on the average during the daylight hours and smaller (or near-zero) decrease during the night. The Sensible heat flux and Wind velocity is decreased. Modeling studies suggest that increased surface albedo in urban area can reduce surface and air temperatures near the ground and affect related meteorological parameters such as winds, surface air temperature and sensible heat flux.

Numerical simulation is essential to indicate the flow of the atmosphere in the region with a complicated topography which consists of many mountains in the inland while it is neighboring the seashore. Such complicated topography produces land and sea breeze as the mesoscale phenomenon of meteorology which results from the effect of the sea and inland. In the mesoscale simulation examines, the change of the temperature in relation to the one of the sea surface for the boundary condition and, in the inland, the interaction between the atmosphere and land surface reflecting the characteristic of the land surface. This research developed and simulated PNULSM to reflect both the SST and vegetation effect as a bottom boundary for detailed meteorological numerical simulation in coastal urban area. The result from four experiments performed according to this protocol revealed the change of temperature field and wind field depending on each effect. Therefore, the lower level of establishment of bottom boundary suitable for the characteristic of the region is necessary to figure out the atmospheric flow more precisely, and if the characteristic of the surface is improved to more realistic conditions, it will facilitate the simulation of regional environment.

The present study observed temperature in order to identify factors affecting temperature by zoning and to measure the intensity of their impact on temperature. The empirical results of analyzing observed data are as follows. In order to make up for multicollinearity, a problem in multiple regression analysis, and to give more specific explanations, this study conducted factor analysis and obtained desirable data with adequacy and statistical significance. In the correlation matrix, factors decreasing temperature were planted areas, water surfaces and grasslands, and those increasing temperature were bare grounds, paved areas, and building area. According to land cover patterns, commercial areas had the highest temperature lowering effect. Through the rotated component matrix, we found that factors are grouped into those decreasing temperature, those increasing temperature, and those with low significance in increasing or decreasing temperature. In order to solve the problem of multicollinearity in multiple regression analysis, we performed factor analysis between the land use patterns and temperature and confirmed the usability of factor analysis as a new analysis method in urban heat island.

This research aims to find processes for developing the design language for the visual notes and design meaning of street furnitures. The result of this study are as follows. 1) The design language implies to get how to represent condensed symbols of the street furnitures. 2) The configuration of the street furnitures has their visual note and design meaning of community identity, represented their own detail design languages. 3) The detail design languages are useful to solve the matters of what design elements of the street furnitures can be composed of the visual notes and design meaning. 4) The detail design languages can be applied to the pattern of tools of Microsoft Office Word.

The objectives of this study are to develop a green tourism potential evaluation method with rural amenity and demand of citizen. The new index which was named GPD(green tourism potential degree) is designed to propose the green tourism potential of rural areas using spatial analysis of geographic information system and spatial interaction of gravity model. And in order to evaluate the green tourism potential with supply side and demand side, two indices were defined; One is green tourism demand degree(GDD) which is developed to quantify a demand side potential by the analysis of urban population and urbanization index, and the other is green tourism attraction degree(GAD) which is developed to quantify a supply side potential by the analysis of rural amenity values using AHP algorithm, based on opinion of related experts. The developed method was applied to a part of Kyounggi province, Seoul and Incheon. All the study area's GAD, GDD and GPD were assessed and the proposed green tourism potential evaluation method could be used in developing rural development plans and green tourism policies considering spatial interaction with citizen and green tourism resources.

본 연구의 목적은 다양한 하수관망과 하천을 포함하는 복잡한 토지이용으로 구성된 도시유역으로서는 비교적 유역면적이 큰 유역의 홍수예보모형으로 수문모형과 수리모형을 연계하는 방법을 제안하고, 이를 유역면적이 약 에 해당하는 중랑천 유역에 적용하여 적용 가능성을 평가하고자 한다. 본 연구에서 수문모형으로는 SWMM과 수리모형으로서는 HEC-RAS 모형을 선정하였으며, 적용대상유역인 중랑천 유역은 25개의 소유역으로 구분되었다. SWMM모형은 각 소배수구역의

도시지역의 하천수와 지하수의 교류를 평가하기 위하여 대구지역을 선정하였다. 연구대상지역에는 낙동강, 금호강 및 25개 하천이 총 유로길이 240 km로 유하하고 있다. 하천수와 지하수의 교류량의 산정은 Darcy식을 이용하였다. 연구대상지역을 16개 소유역으로 나누어서 계산하고 그 결과를 비교하였다. 교류량 산정에는 지하수위, 하천수위, 투수계수, 대수층 두께 및 하천과 가장 근접한 우물과의 거리를 적용하였다. 소유역별 지하수의 하천 유출량, 하천수의

본 연구는 여름철 인체 실험을 통해 온냉감, 쾌적감, 기류감 등을 측정하여 토지피복현황에 따라 인간이 느끼는 온열쾌적감에 대해서 검토하였다. 본 연구의 연구결과를 정리하면 다음과 같다. 1. 토지피복현황에 따라 기상요소를 분석한 결과 기온의 경우 식재지가 최저온을, 포장지가 최고온을 형성하였다. 최고온역인 포장지와 최저온역인 식재지의 온도 차이는 3.9～4.1℃로 나타났다. 풍속의 경우 나지, 수면, 건폐지의 풍속이 1m/s 이상을 보였고 식재지, 초지, 포장지는 1m/s 이하의 풍속이 관측되었다.2. 풍속에 따른 기류감 및 기류평가에서 풍속이 증가함에 따라 기류감이 증가하는 것으로 나타났다. 즉, 풍속이 0.3m/s일 경우부터, 기류감을 느끼기 시작하고 풍속이 1.5m/s일 경우 거의 모든 피험자가 보통이상으로 느끼며 1.9m/s일 경우 기류가 강하다고 느끼는 것으로 나타났다． 또한 같은 기류일 경우 식재지의 기류가 포장지의 기류보다 더 큰 만족을 주는 것으로 나타났다. 3. 온열 중성점은 25.6℃에서 나타났고 온냉감의 수치로 -0.5～+0.5를 쾌적범위로 할 경우 쾌적범위는 24.7～26.6℃로 나타났다.4. 기상요소와 쾌적감에 미치는 효과의 상관분석결과, 기상요소가 쾌적감에 미치는 효과는 일사량, 풍속, 기온, 습도의 순으로 나타났다. 5. 토지피복현황에 따른 기온과 쾌적감 비교 결과 식재지는 다른 지역에 비해 쾌적감이 현저히 높았으며, 실외의 경우 기상요소인 기온, 일사, 풍속, 습도의 조합에 따라 쾌적감이 달라지기 때문 단순한 기온 및 습도의 조합으로 쾌적감을 나타낼 수 없는 것으로 나타나 이에 대한 추가적인 연구가 이루어져야 할 것이다.

In order to investigate the variations and corelation among PM10, PM2.5 and PM1 concentrations, the hourly concentrations of each particle sizes of 300 ηm to 20 μm at a city, Gangneung in the eastern mountainous coast of Korean peninsula have been measured by GRIMM aerosol sampler-1107 from March 7 to 17, 2004. Before the influence of the Yellow Dust event from China toward the city, PM10, PM2.5 and PM1 concentrations near the ground of the city were very low less than 35.97 μg/m3, 22.33 μg/m3 and 16.77 μg/m3, with little variations. Under the partial influence of the dust transport from the China on March 9, they increased to 87.08 μg/m3, 56.55 μg/m3 and 51.62 μg/m3. PM10 concentration was 1.5 times higher than PM2.5 and 1.85 times higher than PM1. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 1.49 with an averaged 0.5 and one of (PM2.5-PM1)/PM1 had a maximum value of 0.4 with an averaged 0.25. PM10 and PM2.5 concentrations were largely influenced by particles smaller than 2.5 μm and 1 μm particle sizes, respectively. During the dust event from the afternoon of March 10 until 1200 LST, March 14, PM10, PM2.5 and PM1 concentrations reached 343.53 μg/m3, 105 μg/m3 and 60 μg/m3, indicating the PM10 concentration being 3.3 times higher than PM2.5 and 5.97 times higher than PM1. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 7.82 with an averaged 3.5 and one of (PM2.5-PM1)/PM1 had a maximum value of 2.8 with an averaged 1.5, showing PM10 and PM2.5 concentrations largely influenced by particles greater than 2.5 μm and 1 μm particle sizes, respectively. After the dust event, the most of PM concentrations became below 100 μg/m3, except of 0900LST, March 15, showing the gradual decrease of their concentrations. Ratio of (PM10-PM2.5)/PM2.5 had a maximum value of 3.75 with an averaged 1.6 and one of (PM2.5-PM1)/PM1 had a maximum value of 1.5 with an averaged 0.8, showing the PM10 concentration largely influenced by corse particles than 2.5 μm and the PM2.5 by fine particles smaller than 1 μm, respectively. Before the dust event, correlation coefficients between PM10, PM2.5 and PM1 were 0.89, 0.99 and 0.82, respectively, and during the dust event, the coefficients were 0.71, 0.94 and 0.44. After the dust event, the coefficients were 0.90, 0.99 and 0.85. For whole period, the coefficients were 0.54, 0.95 and 0.28, respectively.

This study aims to analyze the sensitivity of WSM(weighted scenario method)-AHP method according to variation of nonlinear exponent for accessibility criteria, which are used to make urbanization potential maps with the optimal weighting value for multiple criteria in grid-based GIS technique. Besides this study tried to develop WSM-AHP2 which is simplified by using rank of the potential value for each scenario. The two methods were applied to the test area, Suwon city located south area of Seoul, with time series land-use maps of 1986 and 1996. The evaluation system of urbanization potential have 7 criteria including 6 accessibility criteria. The results of WSM-AHP2, the optimal weighting values and their corresponding potential maps, have almost similar with those of WSM-AHP. In the application of CA(cellular automata) model for expansion of urbanized area using the three potential maps by WSM-AHP, WSM-AHP2, and specialists's AHP evaluation, it also showed that the accuracy of simulation for actual urban area is the highest in the potential map of WSM-AHP, followed by WSM-AHP2 and specialists's AHP evaluation. From the results of this study, WSM-AHP and simplified WSM-AHP2 will be used to generate the optimal potential maps for land-use planning in urban fringe area.

도시 아파트의 발코니와 빌딩옥상에서 상추, 래디시, 미니배추 등의 채소를 재배하여 비타민 C와 총페놀성 화합물 함량을 측정하였으며, 항산화활성을 재배장소별로 비교하였다. 아파트의 남향 발코니에서 재배한 채소는 외부 환경에 노출된 옥상 재배와 비슷한 생육정도를 보였으나, 일조량이 부족한 동향 발코니 재배 채소는 크기는 작으나 조직이 연해 샐러드용으로 활용하기에 적합한 것으로 나타났다. 남향 발코니에서 30일 재배한 상추와 래디시의 비타민 C 함량은 각각 18.0 mg%과 27.9 mg%로서, 동향 발코니와 옥상 재배 채소보다 높게 나타났으나, 총페놀성 화합물 함량과 항산화활성은 옥상재배 채소보다 낮은 것으로 나타났다. 그러나 발코니에서 재배한 채소는 수확 후 바로 섭취함으로서 저장 및 유통에 따른 항산화물질의 손실을 줄일 수 있을 것이며, 발코니 공간은 봄부터 가을철 까지 다양한 채소를 재배할 수 있는 채소밭으로 활용 가능함을 확인하였다. 따라서 도시 아파트의 발코니에서 기능성 식용식물을 재배한다면 관상효과와 더불어 매일 신선한 무공해 채소를 공급하게 될 것이며, 본 연구 결과는 발코니 채소밭 보급을 위한 기초자료로 활용될 수 있을 것이다.

도시 배수구역의 유출특성을 해석하기 위하여서는 유역의 지형특성 및 유출경로를 고려하여 소유역을 분할하고 배수계통에 대한 유출량을 분석하게 되며, 이 과정에서 각 소유역의 도달시간과 시간-면적곡선은 유역형상에 따라 상이하게 구성되므로, 이로 인한 유출특성 또한 크게 변화하게 된다. SWMM 및 ILLUDAS 모형에서는 유역형상을 단순 직사각형으로 가정하여 해석함으로써 유역의 기하학적 형상이 지표면 유출에 미치는 영향을 충분히 반영하지 못하는 한계를 개선하

최근 하천의 흐름해석 분야에서는 수위 및 하상변동 양상과 오염된 지류유입으로 인한 본류에서의 유속분포 양상 및 혼합과정 등의 실제적인 문제를 해결할 수 있는 1, 2차원적 해석이 이루어지고 있으며, 이는 복잡한 하천을 균일화된 모양과 단순화된 방정식으로 일괄 적용함으로써 많은 한계점을 나타내고 있다. 본 연구에서는 서울시 관내 지방 2급 하천인 우이천 시험유역을 대상으로 하천의 물리적인 특성 변화에 따른 흐름해석을 수행하기 위하여 3차원 RANS (Re