본 연구의 목적은 지리정보시스템과 원격탐사를 이용하여 체계적이고 효율적인 수질관리 자료기반을 구축하고, 유역의 오염부하를 산정하여 장래의 수질을 예측할 수 있는 수질관리시스템을 구축하는데 있다. 수질관리를 위해서는 오염물질의 최적처리 등의 기술적 측면뿐만 아니라 수질환경에 관한 정확한 정보의 취득과 관리가 필요하다. 본 연구에서는 지형 및 속성정보의 입력 및 편집을 위해 ArcView 3.1을 사용하였으며, Avenue Script를 이용하여 사용자환경을 갖추도록 하였다. 또한, 토지피복분류를 위하여 20m 해상도의 SPOT XS영상을 대상으로 PCI 소프트웨어를 이용하여 분석하였다. 수질관리시스템은 데이터베이스 보조시스템과 Modeling 보조시스템으로 구성된다. 데이터베이스 보조시스템은 수치지형도에서 추출한 수치표고모델에서 분석한 유역분할도, 위성영상자료, 정부보고서, 통계자료들로 구성되며, Modeling 보조시스템은 강우 시와 비강우시의 유역의 오염부하량을 산정하고 수질예측을 하는 SPLM(Storm Pollutant Loading Model)과 NSPLM(Non-Storm Polutant Loading Model)으로 구성된다. 각각의 보조시스템은 그래픽 출력 부분과 결합하여 분석결과 및 유역현황을 표시하도록 설계되었다. 개발된 수질관리 시스템은 경기도 광주군 광주읍에 위치한 목현천 유역을 대상으로 적용되고 수정되었다.

This study was carried out to investigate the degree of impact from road construction and forest fragmentation after urbanization. And this study was also conducted to compare the urban forest fragmentations of four cities, Taegu, Pohang, Kyungju, and Kumi, in Kyungpook, Korea, with referring the Landsat TM remotely sensed data. Taegu metropolitan city has the largest forest volume of our surveying sites, comparing with three other cities-Kyungju Pohang Kumi city in kyungpook, Korea. The forest has been fragmented during urbanization, the number of forest patch has been increased, therefore, the patch size has been smaller. The forest in Pohang and Kyungju city represented the intermediate aspect between Taegu Metropolitan city and Kumi city, it means forest of the region has been stable condition. Road construction brings to increasing edge habitat area. However, as the core area was decreased, the habitats have been unstable. This result can be a basis on the management of the forest which is the origin of biodiversity. Hereafter, if the research, based on the multi-temporal remote sensing data, is proceeded continuously, the forest fragmentation will be able to be reduced. We will be able to settle urban forest management more practically.

Fly ash, by-product from coal fired power station, has long been regarded as a potential contamination source for heavy metals and inorganics due to their enriched concentrations and associations with particle surface. Feed coal and fly ash samples were collected from two power stations; Yongdong deliang with domestic anthracite coals and Boryong with imported bituminous coals. The coal and fly ash samples were analyzed for chemical composition and mineral components, using XRF and XRD. Batch leaching experiments were conducted by agitating samples with deionised water for 24 hours. Anthracite coals are generally higher in Al and Si contents than bituminous coals. This is due to the higher ash contents of the anthracite coal than bituminous coal. The chemistry of the two fly ash samples shows broadly similar compositions each other, except for the characteristically high contents of Cr in anthracite coal fly ash. Leaching experiments revealed that concentrations of metals gradually decreased with leachings in general. However, measurable amounts of metals were present in the effluent from weathered ash and the samples subjected to the leaching procedure. These metals are likely to indicate that the metals in fly ash were incorporated into glass fraction as well as associated with particle surface of samples. Dissolution of aluminosilicate glass would control releasing heavy metals from fly ash as weathering progresses during landfill with implication of possible groundwater contamination through fly ash landfill.

Juam Lake is a major water resource for the industrial and agricultural activities as well as for the resident life of Kwangju and Chonnam regions. However, the water quality of the lake is getting worse due to a large quantity of pollutant inflowing to the lake. The excessive growth of algae by the overfertilization may result in water treatment problems and also the interference with desirable water uses of navigation, aesthetics, recreation and fish maintenance. Therefore, the purpose of this study is to analyze algal species and movements in Juam Lake in order to use as basic data in making the countermeasure to achieve the water quality goal of the lake. The results of the analysis show that (1) the predominant species of algae are Microcystis aeruginosa, Anabaena affinis, Melosira granulata, Synedra acus, and Coelastrum cambricum, (2) their groups are changed in order of diatoms, green algae, and blue-green algae with the lapse of time, and (3) the distance of the vertical movements of algae for 24 hours is about 2m.

본 연구는 G7 과제의 일환으로서, Internet상에서 운영될 수 있는 광역적 환경 관리 시스템의 개발에 목표를 두었다. 이러한 목적을 달성하기 위해서는 아직 더 많은 연구가 수행되어야 하지만, 예비적인 개발 성과를 다음과 같이 요약할 수 있다 : 1) 통합적 환경 정보 관리 시스템, 2) web 기반의 제어 엔진, 3) 지표수환경 관리 시스템, 4) 지하수환경 관리 시스템, 5) 하수도 및 시설 관리 시스템. 본 엔진의 핵심 방법론은 다양한 편미분 방정식의 해석에 있어서 각 미분항을 서술하는 범용적 다차원 유한요소 행렬이다. GUI 지향적인 web 기반의 시스템을 구축하기 위해 공간 정보 관리 시스템(ArcView) 및 Visual Basic이 폭넓게 사용되었다. 개발된 시스템들은 환경 문제의 복합적인 관리의 필요성으로 인해 매우 집약적인 프로그램으로 구성되었다. web 기반의 엔진은 환경관련 사업의 통합적인 관리를 위한 정책 결정 도구로 제공될 수 있을 것이다.

The purpose of the study is to propose the concrete and realistic alternative measures for $CO_2$ emission reduction on commercial sector. To achieve the purpose, this study adopted AIM/KOREA simulation model modified from AIM(Asia-Pacific Integrated Model) originally developed by Japan National Environmental Research Institute. The results of simulation demonstrate that the $CO_2$ emission from the commercial sector in 1995 was estimated 864 million TC(tons of carbon); however, according to the base scenario, $CO_2$ emission in 2020 is expected to be increased to 1,872 million TC, which is 2.17 times greater than that in 1995. In order to mitigate the ever-increasing $CO_2$ emission, the results of AIM/KOREA simulations under various scenarios showed that the 30-thousand-won carbon tax scenario does not successfully motivate the selection of advanced technology; however, with the 300-thousand-won carbon tax, a substantial amount of $CO_2$ emission reduction by 1.69 million TC from the BaU((Business-as-Usual)scenario is expected to be achieved by year 2020. Such substantial reduction of $CO_2$ emission under the 300-thoudsand-won carbon tax scenario is due to the introduction of advanced technology, such as use of condensing boilers, forced by heavier carbon tax. Under the scenario that presumes the maximum introduction of gas-burning industrial appliances, an 2.66 million TC of $CO_2$ reduction was expected. The results of this study suggest that the $CO_2$ emission reduction measures can be interpreted in many different views. However, if people and industries are fully aware of the economic benefit of energy saving, a certain level of $CO_2$ reduction by a successful introduction of advanced energy saving technology appears to be achieved without carbon tax or subsidies.

This study was conducted as a preliminary study for the mitigation of acid rain which has been a serious environmental problem in both regional and global scales. In this study, sulfur dioxide emission was estimated at city and gun(county) level. Also, this study represents the estimated sulfur dioxide emission with using a geographical information system which includes administrative boundaries. The results of this study are expected to serve as a sulfur dioxide emission mitigation policy guidance and a basis of a future emission model and a comprehensive global warming model. Moreover, thanks to the geographical information system, the results are also expected to help carrying out clear policy goals and setting up sulfur dioxide emission mitigation measures in regional environmental planning processes, which currently have been implemented in some cities and counties in Korea.