본 연구는 도시공원의 토지피복 및 식재구조에 따른 온도 영향요인을 규명하는데 목적이 있다. 성남시 분당구 중앙공원을 대상으로 전 지역에 대한 토지피복 및 식재현황을 파악하였으며 30개의 조사구를 설정하여 정밀 토지피복 및 식재구조를 파악하고 온도는 10회 반복 측정하였다. 온도 영향요인은 토지피복유형, 식재유형, 층위구조, 녹지량(녹피율, 녹지용적계수)을 선정하여 실측 온도와의 통계분석을 실시하였다. 토지피복유형, 식재유형, 층위구조와 실측 온도와의 분산분석 결과, 토지피복유형에서 목본 식재지는 저온역으로 초지와 포장지는 고온역으로 구분되었다. 식재유형은 침엽수 및 활엽수 식재지는 저온역으로, 초지와 포장지는 고온역으로 구분되었다. 층위구조는 교목층과 교목층+하부식재 유형은 저온역으로, 초지와 포장지는 고온역으로 구분되었다. 녹지량과 실측 온도와의 상관관계 분석 결과 녹피율과 녹지용적계수는 모두 실측 온도값과 고도의 음(-)의 상관관계가 인정되었다. 녹지량과 실측 온도와의 회귀모형에 의하면 녹피율은 1% 증가할 때마다 -0.002℃, 녹지용적계수는 1m3/m2 증가할 때마다 -0.122℃의 온도저감 효과가 있을 것으로 예측되었다.

본 연구는 초고층 건축물 외부공간의 식물 피복 상태가 온도변화에 미치는 영향을 파악하고자 서울시에 위치한 초고층 건축물 12개소를 대상으로 연구를 수행하였다. 초고층 건축물 외부공간의 토지 피복 유형별 온도 차이 분석을 위해 6개 유형(외곽도로, 포장지, 관목/초지, 단층교목식재지, 다층식재지, 수경시설)으로 건축물외부공간의 피복유형을 구분하였으며 토지이용유형별 대표지점에서 온도를 실측하였다. 건축물 12개소의 주변 환경차이를 고려하기 위해 외곽도로의 중앙부에 대조구를 선정하여 온도를 측정한 후 일원배치 분산분석을 토대로 유사한 온도경향을 보이는 대상지를 4개 그룹으로 분류하였다. 분류된 그룹의 토지 피복 유형과 외부 공간 온도와의 일원배치 분산분석결과, 주로 단층교목식재지, 수경시설, 다층식재지는 저온역에 속하였으며, 관목/초지, 포장지, 외곽도로는 고온역에 속하였다. 저온역과 고온역의 온도차이는 약 1.06~6.17℃의 차이를 보였다. 그러나 조성된 식재지와 수경시설 면적의 협소, 건축물로 인한 일사도달량의 저감과 반사량의 증가 등으로 초고층 건축물 외부공간 온도에 미치는 영향이 다양하게 나타났다. 이에 각 공간에 필요한 녹지량과 수공간의 면적을 조성 전 미리 산출하여, 효과를 발휘할 수 있는 최소한의 면적과 녹지량을 확보할 필요성이 있었다.

The land-cover of two regions of South and North Korea included in one Landsat TM scene was investigated by comparing different seasons and different band data over the multiple land-cover types. The relationships between the intensities of two bands in the 2-D plot are mainly linear in band2 versus band1 and band3 versus band1, polygonal sporadic in band5 versus band1 and band7 versus band1, and almost tri-polarized in band4 versus band3. The 2-D plot of band4/band3 shows the best capability to discriminate different main land-cover such as water, vegetation and dry soil. Some discriminations are not clear between city and dry field, or mountain and plain field in the scene of September. The digital number data of band4 from vegetated zones show stronger reflectance in September rather than April, while other band values tend to be lager in April than in September over each land-cover. NDVI presents high value in both regions in September. However the image of Wonsan area in April suggests weak vigor of vegetation in comparison with Cholwon area. Band ratios are very effective in eliminating the influence of the complex topography. The proper pairing of the band ratio improved the discrimination capability of the land-cover; band5/band2 for dry soil, band4/band3 for vegetation and band1/band7 for the water. The RGB combination of the three band ratio pairs showed the best results in the discrimination of the land-cover of Wonsan, Cholwon and even the Demilitarized Zone.

이 연구에서는 극궤도 기상위성인 NOAA/AVHRR 시계열 자료를 이용하여 한반도의 지면 피복을 분류하였다. 일주기 기상위성자료로부터 구름이 없는 상태의 지면상태 자료를 획득하기 위하여 10일 간격 최대치 합성법 자료를 작성하였으며 27개의 10일주기 식생지수 자료들(겨울철 12, 1, 2월 자료 9개 제외)로부터 4개의 식생 계절성 자료를 작성하였다. 또한 위성자료로부터 분석한 연 최고 및 연평균 지면온도, 그리고 지형고도 자료를 이용하였다. 각 지면 피복에 대한 특성 자료 수집이 어렵기 때문에 여기서는 2단계 무감독 분류법을 이용하였다. 즉, 초기 입력자료는 신경망 기법의 일종인 SOFM을 이용하여 군집화한 다음 결정나무를 이용하여 각 군집을 분류하였다. 최종 분류 결과는 식생지수의 시계열과 지상 자료로 검증한 결과 대도시, 농지, 낙엽수림 및 상록수림 등 우리 나라의 지면 피복을 개략적으로 잘나타내고 있는 것으로 판단된다.

This study analyzes structural landscape changes over a time-series for a small and medium-sized city, Gangneung-Si, based on area and distribution patterns, and according to the type of land cover. Among the types of land cover, the area ratio of urbanized areas increased by 2.02% in the late 2010s as compared to the late 1980s, while there was a decrease of 2.69% in farmland and 0.69% in grassland areas. On analyzing the changes in land cover use by applying the Fragstats program, it was confirmed that landscape changes in urban and management areas were relatively severe according to the Landscape Shape Index, Largest Patch Index, and Aggregation Index. A pattern of concentrated expansion was also found around certain areas. In particular, from the analysis, it was established that the proportion of urbanized area had considerably increased and that the extent of farmland damage to management areas, including planned management areas, was large. Additionally, the Total Core Area generally indicated a reduction in the core areas of farmland and forest within urban and management areas. A medium-sized city showed significant changes besides large cities in terms of landscape structure. The developmental pressure on management areas, in particular, was quite high.

This study tried to reveal pattern of change in climatic normals during 1981-2010 and 1991-2020 from 28 weather stations in South Korea as well as its relationships with land cover change. Most of the weather stations showed temperature increase during 1991-2020 compared to 1981-2010, and positive correlations were found between temperature and urbanization in land cover, with the highest correlation coefficient in min. temperature. Temperature data also showed negative correlations with suburbanization in land cover, with lower correlation coefficients than urbanization in land cover. Overall decreases in relative humidity were revealed from the weather stations. However, clear relationships between relative humidity and land cover were not found in this study. The other climate data such as precipitation, sunshine and mean wind speed showed various ratios of change depending on the weather stations, without certain relationships with land cover.

Non-point source pollutants have characteristics the render them difficult to manage owing to the uncertainty of flow paths. As agricultural non-point sources account for more than 57% of non-point source pollutants, the necessity for management is increasing. This study examines the possibility of utilizing land cover maps to suggest a more appropriate method of setting management priority for agricultural non-point sources in the Daecheong Lake area and draws implications by comparing the results derived using the cadastral map, as mentioned in the TMDL Basic Policy. To define the prioritized areas for management, the pollution load was calculated for each subbasin using the formula from the TMDL technical guidelines. As a result, the difference in the average pollution load between the land cover map and cadastral map ranged from 11.6% to 21% among the subbasins. In almost all subbasins, there were differences in the ranking of management priorities depending on the land information that was used. In addition, it was found that it was reasonable to use the level 3 land cover map to calculate the load generated by the land system for examining the implementation goals and methods of each data and comparing them with satellite images.

With global warming and the rapid increase in urbanization accompanied by a concentration of population, the urban heat island effects (UHI) have become an important environmental issue. In this study, rooftop greening and permeable asphalt pavement were selected as measures to reduce urban heat island and applied to a simple virtual urban environment to simulate temperature change using ENVI-met. A total of five measures were tested by dividing the partial and whole area application of each measure. The results showed that the temperature range of the base experiment is 33.11-37.11 ℃, with the UTCI comfort level described as strong heat and very strong heat stress. A case applied permeable asphalt has a greater temperature difference than a rooftop greening case, the larger the area where each condition was applied, the greater the temperature change was.

This study aims to increase the ability to adapt to the ecosystem and promote a sustainable use of the natural environment, by classifying the types of damaged lands according to various factors, such as the characteristics of the target area and form, cause, and impact of damage. Moreover, the study suggests the development of evaluation categories and criteria by each type. The results obtained are as follows: first, for the assessment of damaged lands, the changed areas were identified utilizing land cover maps. Video analysis was performed to increase the accuracy, and 88 sites were obtained. Second, the types of damage were classified into ecological infrastructure and ecological environment, and the sub-factors of the cause of damage were classified into 12 factors. Third, each evaluation system for the types of damage was composed of four steps, considering each type of damage and the level of evaluators being higher than paraprofessionals. To supplement this study, it will be necessary to utilize the database of damaged lands other than the Seoul Metropolitan Area and conduct an on-site survey for verification in the future.

This study analyzes relationship between land cover change and local climate data of 46 weather stations in South Korea from the 1980s to 2000s. The used area shows proportional relationships to mean daily min. temperature and mean temperature, and a reverse relationship is found between the used area and relative humidity. However, the forest indicates reverse relationships to mean daily min. temperature and mean temperature. The agricultural land causes to increase in relative humidity and decrease in mean wind speed, while the water increases mean daily min. temperature, daily min. temperature and mean temperature as well as mean wind speed. The urbanization type (used area + barren) shows high correlations with temperature and humidity. The suburbanization type (agricultural land + forest + grass + wetland) has high correlations with temperature and wind speed. High correlations are also found between the waterfront type (wetland + water), and temperature and wind speed. It can be concluded that change in land cover around weather station obviously influences on climate data of the weather station and it is also expected that reliability and homogeneity of climate data from a weather station can be enhanced by this study.

Land cover around weather station can affect various climatic elements such as temperature, precipitation, wind and moisture. This study tries to reveal patterns and causes in land cover changes around weather stations in South Korea and to classify types of the land cover changes. The agricultural land, forest and used area have occupied most areas around un-relocated 47 weather stations with enough weather observation durations for the past 20-30 years. Area of the agricultural land shows steady decrease with remarkable areal decrease in the wetland, while steady areal increase is found in the used area. Due to urban expansions and new town developments around the weather stations, areas of the urbanization type (used area+barren) and suburbanization type (agricultural land+forest+grass+wetland) show steady increase and decrease, respectively. On the other hand, accurate changes in land cover are not reflected in the water-front type (wetland+water) due to errors and limitations in land cover classification using satellite images. It is expected that the results in this study can contribute to reliability and homogeneity enhancement of weather data.

The greenhouse gas emission according to the energy consumption is the cause of global warming. With various climates, it is occurs the direct problems to ecosystem. The various studies are being to reduce the carbon dioxide, which accounts for more than 80% of the total greenhouse gas emissions. In this study, estimate the carbon usage using potential biomass extracted from forest type map according to land-use by satellite image, and estimate the amount of carbon dioxide, according to the energy consumption of urban area. The CO2 adsorption is extracted by the amount of forest based on the direct absorption of tree, the other used investigated value. The CO2 emission in Jecheon was 3,985,900 TCO2 by energy consumption. At the land cover classification, the forest is analyzed as 624,085ha and the farmland is 148,700ha. The carbon dioxide absorption was estimated at 1,834,850 Tons from analyzed forest. In case of farmland, it was also estimated at 706,658 Tons.

1. 각 시험구에서 재배 2년째 시기별 에너지작물의 초장을 조사한 결과, 하수슬러지 고화물을 처리한 시험구에서의 에너지작물 중 거대 1호의 생육이 가장 우수하였으며 원지반토에서는 생육이 미비하였다. 2. 원지반토의 거대 1호 초장은 재배 1년차 97 cm에서 2년차 229 cm로 141% 증가하여 성장폭이 하수슬러지 고화물을 처리한 두 시험구의 거대 1호에 비해 우수하였다. 3. 각 시험구의 토양 pH는 하수슬러지 고화물을 처리한 후 2년이 경과하여도 일정하게 pH 7.2~8.4의 수준을 유지하고 있었다. 원지반토의 염농도는 하수슬러지 고화물을 처리한 두 시험구에 비해 월등히 높은 것으로 나타났으며 원지반토의 평균 염농도(0.27%)는 1년차의 염분 농도(0.31%)와 비교하여 조금 감소한 것으로 나타났다. 4. 원지반토의 평균 치환성 나트륨(Ex. Na) 함량은 8.99 cmol+kg1으로 하수슬러지 고화물 혼합구의 평균치(0.7 cmol+kg1)에 비해 약 12배 높았으며, 하수슬러지 고화물을 처리한 두 시험구에 비해 월등히 높았다. 5. 하수슬러지 고화물 처리 후 에너지작물 재배 1년차와 2년차 동일시기(5월, 11월)의 토양 유기물 함량은 1년차에 비해 2년차 증가하였음을 알 수 있었고, 특히 하수슬러지 고화물 복토구의 유기물 함량의 증가폭이 가장 우수하였다. 6. 간척지 토양에 하수슬러지 고화물 처리는 토양 무기양분의 공급, 염류의 상향이동 완충 효과, 작토층 및 근권확대로 인한 지하경의 정상적인 번식이 이루어져 원지반토에 비해 에너지작물 생육이 우수하여 하수슬러지 고화물처리는 토양복토재로써 간척지 토양의 화학성 및 물리성 개선에 효과적이었음이 확인되었다.

This study analyzed the characteristics of stormwater runoff by rainfall type in orchard areas and transportation areas for 2 years(2010~2011year). Effluents were monitored to calculate the Event Mean Concentrations(EMCs) and runoff loads of each pollutant. The pollutant EMCs by volume of stormwater runoff showed the ranges of BOD 0.9~13.6 ㎎/L, COD 13.7~45.2 ㎎/L, SS 4.1~236.4 ㎎/L, T-N 2.123~21.111 ㎎/L, T-P 0.495~2.214 ㎎/L in the orchard areas, and was calculated as BOD 2.3~22.5㎎ /L, COD 4.4~91.1 ㎎/L, SS 4.3~138.3 ㎎/L, T-N 0.700~13.500 ㎎/L, T-P 0.082~1.345 ㎎/L in the transportation areas. The correlation coefficient of determination in the orchard area was investigated in the order of Total Rainfall(0.81) > Total Runoff(0.76) > Rainfall Intensity(0.56) > Rainfall Duration(0.46) > Antecedent Dry Days(0.27). Also, in the case of the transportation area was investigated in the order of Total Rainfall (0.55) > Total Runoff(0.54) > Rainfall Intensity(0.53) > Rainfall Duration(0.24) > Antecedent Dry Days(0.14). As the result, comparing valuables relating to runoff of non-pollutant source between orchard areas and transportation areas, orchard area(R2 ≥ 0.5 : X3, X4, X5) was investigated to have more influence of diverse independent valuables compared to the transportation area(R2 ≥ 0.5 : X3, X4) and the difference of discharge influence factor by the land characteristics appeared apparently.

토지피복은 물리적인 지표면의 상태를 나타내며, 재난, 수자원, 환경생태, 행정 등의 관리에 이용되는 중요한 지표이다. 이는 지표수의 증발, 강우에 의한 유출이나 해안 침식 등 인간의 생활에 큰 영향을 주는 인자이며, 또한, 인간의 활동에 의해 많은 변화를 받기도 한다. 따라서 정확한 토지피복의 상태와 변화를 파악을 위한 연구가 오래 전부터 진행되었다. 최근에는 토지피복의 변화를 감지하기 위해 넓은 지역을 일관되게 관측하며 오래된 자료의 획득이 가능한 인공위성 영상을 이용한 토지피복 분석 방법이 실행되고 있다. 본 연구에서는 지표에 대한 인간의 활동에 의한 토지피복의 변화를 파악하기 위해 Landsat 인공위성을 이용하여 대규모 간척사업인 새만금 지역의 공사 진행에 따른 토지피복 변화를 분석하였다. 본 연구의 결과로 공사의 전후에 따라 수역의 영역이 감소하며 반면 습지의 영역이 증가한 것을 확인하였다. 또한 시간의 흐름에 따른 도시화의 영향으로 시가의 증가와 농지 및 산림의 감소를 확인하였다.

This study aims at suggesting the attributes and limitations of each methods through the evaluation of the verified analysis results, so that it will be possible to select an efficient method that may be applied to assess the green coverage ratio. Green coverage areas of each sites subject to this study were assessed utilizing the following four methods. First, assessment of green coverage area through direct planimetry of satellite images. Second, assessment of green coverage area using land cover map. Third, assessment of green coverage area utilizing the band value in satellite images. Forth, assessment of green coverage area using and land cover map and reference materials. For this study, four urban zones of the City of Seosan in Chungcheongnam-do. As a result, this study show that the best calculation method is the one that combines the merits of first and second methods. This method is expected to be suitable for application in research sites of middle size and above. It is also deemed that it will be possible to apply this method in researches of wide area, such as setting up master plans for parks and green zones established by each local self-government organizations.

This study was conducted to be used as basic data of environmental friendly construction planning by comparing and analyzing thermal environment, find particles and biotope area rate according to land cover types of outside space of schools located in Chung-ju. When meteorological factors were analyzed according to land cover types, for temperature planting area and paved area showed low-and high-temperature ranges, respectively, and relative humidity was negatively related with temperature as low-and high-temperature ranges corresponded to high-and low-humidity ranges, respectively. For Wet Bulb Globe Temperature Index (WBGT) by land cover types, it was observed to be artificial grass> bare land> natural grass. Find particles were different according to land cover types of playground with being bare land> artificial grass> natural grass in the order. Bare land playground, where there were artificial factors and no absorption of fine particles through stomata of leaves as a function of natural circulation, recorded the highest level of 39.8 ㎍/㎥ and the level was relatively higher compared to the levels by season in Chung-ju. Biotope area rate showed the order of M elementary school> K elementary school> C commercial high school. That was considered to be caused by the difference of land cover type of school playground accounting for a large part of a school.

Land cover and land use change data are important in many studies including climate change and hydrological studies. Although the various theories and models have been developed, it is difficult to identify the driving factors of the land use change because land use change is related to policy options and natural and socio-economic conditions. This study is to attempt to simulate the land cover change using the CLUE model based on a statistical analysis of land-use change. CLUE model has dynamic modeling tools from the competition among land use change in between driving force and land use, so that this model depends on statistical relations between land use change and driving factors. In this study, Yongin, Icheon and Anseong were selected for the study areas, and binary logistic regression and factor analysis were performed verifying with ROC curve. Land cover probability map was also prepared to compare with the land cover data and higher probability areas are well matched with the present land cover demonstrating CLUE model applicability.

The present study explores time and spatial thermal environment for Daegu, which is a city built on a basin area, according to varying land cover conditions of the earth's surface by analyzing data derived from meteorological observation and satellite images. The study has classified land use by utilizing MODIS satellite images and analyzed land surface temperature. Also, by using data acquired from automatic weather system, the study has evaluated the effects of atmospheric heating caused by city pavements by analyzing the sensible heat flux between the city's land surface and the atmosphere.The results are as follows. 1) Classification of land use in the Daegu area shows 46.64% of urban and built-up area, 1.39% of watersides, 35.19% of forest, 11.43% of crops, and 5.37% grasslands. 2) During the weekdays throughout the year, the land surface temperature was high for Dalseogu, Bukgu, and Seogu regions where industrial complexes could be found. Comparatively, lower temperature could be observed in the woodlands. 3) While the land surface temperature displayed the effects of pushing air upwards during the weekdays in urban areas, the reverse was true for forest regions. During the night, the temperature did not exert any significant influence on air movement.