• 대기
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• 제29권2호
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• pp.131-147
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• 2019

On the urban scale, Micro-climate analysis models for urban scale have been developed to investigate the atmospheric characteristics in urban surface in detail and to predict the micro-climate change due to the changes in urban structure. BioCAS (Biometeorological Climate Impact Assessment System) is a system that combines such analysis models and has been implemented internally in the Korea Meteorological Administration. One of role in this system is the analysis of the health impact by heat waves in urban area. In this study, the vegetation cooling models A and B were developed and linked with BioCAS and evaluated by the temperature drop at the vegetation areas during ten selected heat-wave days. Smaller prediction errors were found as a result of applying the vegetation cooling models to the heat-wave days. In addition, it was found that the effects of the vegetation cooling models produced different results according to the distribution of vegetation area in land cover near each observation site - the improvement of the model performance on temperature analysis was different according to land use at each location. The model A was better fitted where the surrounding vegetation ratio was 50% or more, whereas the model B was better where the vegetation ratio was less than 50% (higher building and impervious areas). Through this study, it should be possible to select an appropriate vegetation cooling model according to its fraction coverage so that the temperature analysis around built-up areas would be improved.

• 대한공간정보학회지
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• 제4권2호
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• pp.181-193
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• 1996

본 연구는 원격탐사의 수치화상분류에 적용된 바 없는 정준상관분석(Canonical Correlation Analysis)기법을 무감독분류한 위성화상데이터에 적용하여 토지피복분류하는 새로운 방법을 개발하는 것을 목적으로 한다. 개발된 분류기법은 기존의 분류기법인 최대우도분류기법에 비해 분류기준용 표본데이터 선정이 용이함을 알 수 있었다. 즉, 정준상관분석에 의한 분류결과는 분류기준용 표본데이터의 선정위치에 거의 영향을 받지 않는다. 또한 무감독분류 후 정준상관분석에 의해 결정된 각 군집의 토지피복은 최대우도분류를 위한 사전정보로 활용정보로 활용가능하다. 동일한 분류기준용 표본데이터 사용시, 무감독분류 후 정준상관분석에 의한 분류가 최대우도분류보다 분류정확도가 우수하였다. 이상과 같은 결과로 판단해 볼 때 연구에서는 시도된 분류기법은 원격탐사의 분류기법 분야에서 실용화 될 수 있으며, 나아가서는 GIS 데이터베이스 구축에 중요한 역학을 할 수 있을 것이다.

• 한국산림과학회지
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• 제111권1호
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• pp.72-80
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• 2022

본 연구는 백두대간보호구역에 대한 합리적인 보전 및 이용을 위한 권역별 지향성 설정을 위하여 실시하였다. 지향성 설정을 위해 첫 번째 단계로 자연환경보호, 자연경관보호, 농림업 진흥, 생활환경보호, 교육·문화·예술 진흥, 휴양·관광 진흥, 재난·재해관리 유형을 백두대간의 설악산, 태백산, 속리산 권역을 포함하는 유역별 지향성의 점유비율을 비교하여 결정하였다. 그러나, 7가지 지향성별로 각각의 유형이 대상지역에서 동일한 역할을 하지 않기 때문에 가중치를 적용하였다. 그 결과 백두대간 지역은 산림 및 환경보호에 대한 강력한 조치로 규제되고 있으며, 자연보호와 관련된 가중치가 다른 지역보다 높기 때문에 대부분의 지역이 자연환경보호 구역으로 분류되었다. 이상의 결과를 보완하기 위해서는 권역별 지향성과 가중치를 결정하기 위한 추가 연구 수행과 사회문화 요소 및 현장 조사 자료의 통합이 필요할 것으로 판단된다.

• 토지주택연구
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• 제13권4호
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• pp.1-12
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• 2022

인간의 일상생활에서 깨끗한 물은 필수적인 도시기반시설이며, 공중보건에서 물은 중요한 역할을 담당한다. 따라서 COIVD-19와 같은 대규모 재난 상황이 물 사용에 영향을 미칠 것이라는 추론이 가능하다. 이와 관련하여 우리는 COVID-19 상황에서 가정용 상수도 사용에 영향을 미치는 요인을 알아보고자 한다. 본 연구는 2020년을 시간적 범위로 설정하였으며, 공간적 범위는 서울과 인천으로 하였다. 서울과 인천 자치구의 상수도 사용량을 종속변수로, 도시 특성을 반영한 요인을 독립변수로 사용하였다. 분석 방법은 다중회귀분석을 활용하였고 분석단위는 자치구이다. 분석을 통해 팬더믹 상황이 물사용량의 증가를 초래했음을 확인하였다. 또한 고령자에게 경제적인 부담 없이 일상생활을 할 수 있도록 정책적 지원이 필요하다는 점과 감염병 관리에 있어 깨끗한 물의 안정적 공급이 필수적이라는 시사점을 확인하였다. 본 연구의 분석결과는 COVID-19 등의 감염병 확산 시 효율적인 물 공급 정책과 효율적인 상수도 관리에 시사점을 제공할 수 있을 것으로 기대된다.

• 한국산림과학회지
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• 제94권5호통권162호
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• pp.342-348
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• 2005

An exploratory survey was performed to assess the present status of distribution and production of coconut palm (Cocos nucifera Linn.) in the rural landscape of Meghna floodplain of Bangladesh. A multistage simple random sampling technique was adopted to identify the study area and respondents. A total of 50 households were selected randomly for the study. Traditional knowledge on cultivation, management, and production of coconut palm was emphasized. Marketing of coconut palm products and income derived from coconut palm cultivation was taken into consideration. Perceptions of farmers, traders and professionals were described in due context of opportunities and constraints of coconut palm cultivation. Coconut palm cultivation was found to play an important role in household economy in rural Bangladesh sharing considerable contribution to the total income. About 10% of their total annual income was reported to come from coconut husbandry. Highest number of the coconut palms, 24%, was found to grow in the homestead compounds and in the pond banks. About one-third lands of the households were found to be covered by the coconut palms. Maximum, 19%, coconut palms were found in the 16-20 years age-class. Production of coconut was found highest at the age-class 11-15 years. The study found some important opportunities and constraints of coconut farming in rural Meghna floodplain area of Bangladesh. The results of this study would be useful for the rural development practitioners in Bangladesh.

• Journal of Ecology and Environment
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• 제35권2호
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• pp.141-147
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• 2012

The rapid urbanization in developing countries is accelerating both the depletion and fragmentation of urban green space, despite the known positive effects of green spaces on the environmental conditions in cities and the quality of life of residents. Consequently, there is a need for practical tools that can support the development of networks of urban green spaces. This article presents a study that used a GIS-based least cost path (LCP) analysis to identify the best alternative for developing an urban green space network in the coastal city of Jakarta, Indonesia, which was based on the evaluation of topography and land use characteristics. Pair-wise analysis was used to reduce the sensitivity in the LCP model. The results showed that the coastal wetlands in the northern part of Jakarta and the agricultural fields in the suburban areas of Jakarta play an important role in connecting the green space network. On the other hand, some green spaces in the central part of Jakarta could not be connected by the LCP model. The method used in this study can serve as a tool to support the identification of networks of potential urban green spaces. It can also provide useful information for sustainable urban landscape planning and management in urban ecosystems. However, the inclusion of socio-economic criteria would further improve the model.

• 한국측량학회지
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• 제35권4호
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• pp.281-290
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• 2017

Transportation plays a vital role in sustainable development, and moreover, bulk transportation provides cost effective movement of goods and human beings with less environmental issues. Nepal is a developing country with increasing urbanization and transportation demands. The growing interest of China to connect with Southeast Asia through Nepal has led to ambitious project proposal of Rasuwa Gadhi to Birgunj Railways, which is the shortest route from China to India. Lack of updated geospatial data has lead the concerned authorities in Nepal to be dependent on analysis and proposals from donor nations. Taking such considerations, based on GIS and free data, this study explores optimal routes to connect cites using slope and land cover. Based on reclassified slope, two shortest optimal routes were found. One passing through Baireni in Dhading and another through Kathmandu towards Birgunj with length of around 172 Kilometers. The study shows that available open source data can be used of preliminary feasibility studies and yet shows limitations for detailed economy based planning. Development and use of high resolution updated geospatial data is of high necessity for Nepal to become self-sustained in planning of development works.

• 환경위생공학
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• 제14권3호
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• pp.1-9
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• 1999

In the estimation of pollution load in water basin, a data information has generally used from surveyed data. A Geographic Information System(GIS) was adopted to evaluate the amount of pollution load in Anyang stream basin which is one of the major tributaries in the Han river flows through urban area. The digital maps of administrative boundary, stream network, sub-basin, soil type, and land-use for spatial data as well as attribute data were generated. And the database of sub-basins and pollution source was structured to estimate pollution load in Anyang stream basin by an Arc/Info GIS.As the results of this investigation, the pollution load of Mokgam-chun sub-basin was the highest amount. And that of Hagi-chun sub-basin and the fourth main stream sub-basin were also high amount in Anyang stream basin. In general, it was found that the pollution load generated from the upstream area in Kyunggi province was higher than that from downstream area in Seoul. Because the point and non-point source pollution load played very significant role in the deterioration of the water quality of the Anyang stream, an integrated approach to water quality management should be required for the sub-basins of high pollution load amount.

• 한국환경과학회지
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• 제13권5호
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• pp.441-448
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• 2004

The purpose of this research was to investigate and analyse the internal structural organisation of UK's urban fringe management initiatives and its roles. Caerphilly Mountain Countryside Service and Thames Chase Community Forest Initiatives were investigated. The Caerphilly Mountain Countryside Service Initiative operates through a tiered structure consisting of the Caerphilly Mountain Joint Committee, the Officers' Working Party, and the management team. The Thames Chase Community Forest Initiative is operated through a tiered structure comprising the Thames Chase Joint Committee and the management team. Although the role of each management initiative is invested differently in certain internal organisational bodies, such as the governance body and the management body, what is common to all the urban fringe management initiatives is that the governance body within each management initiative tries to speak with one voice to bring about an effective operation process, and the management team employs a variety of devices to secure the enrolment of a variety of interest groups in its operational processes.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.