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배상근 ( Sang Keun Bae ) 한국환경과학회 2016 한국환경과학회지 Vol.25 No.1
In this paper, a groundwater hydrological study of the Gyeongju well during the Silla period is conducted to investigate how sufficiently the Gyeongju well supplied water demand at the time. It is assumed that the current geology and soil condition in Gyeongju remain similar to the Silla period. Also, the land use and land coverage during the Silla period is estimated based on the current land condition in Gyeongju. Precipitation during the Silla period is analyzed using precipitation data from 1984 to 2014 provided by Gyeonju weather station. Precipitation analysis is applied based on 3 different scenarios; precipitation intensity during the Silla period was Case ① the same as, Case ② 30% more, and Case ③ 30% less than the precipitation intensity of the last decade (2005~2014). Furthermore, to observe the use of the well in Gyeongju during droughts, the following condition(Case ④) is also considered; ten year drought during the Silla period was the same as the ten year drought from 1984 to 2014. Available amount of groundwater development is analyzed using NRCS-CN method. The results show that the potential amount of groundwater in Gyeongju during Silla era was for Case ① 62,825,272 ㎥/year, Case ② 93,606,567 ㎥/year, Case ③ 32,277,298 ㎥/year, and Case ④32,870,896 ㎥/year. Also, it has been shown that 45,260,000 ㎥ of groundwater were required to supply to all households in Gyeongju during Silla era. Therefore, if the precipitation intensity during Silla era was similar with the last decade, the groundwater would provide enough supply to all households in Gyeongju. However, in the case that the precipitation intensity during Silla era was 30% less than the last decade or a ten year drought happened, it is predicted that the water use in Gyeongju would have been limited.
배상근(Sang Keun Bae),최수영(Soo Young Choi) 계명대학교 낙동강환경원 2011 環境科學論集 Vol.15 No.1
As the first stage of the development in a water treatment system for highly concentrated turbid water, a laboratory test is conducted using ion coated natural zeolite. The stirring strength, zeolite dosage, and the change of turbidity after injecting zeolite into 1,000㎖ beaker containing highly concentrated turbid water are observed through time. By keeping the amount of highly concentrated turbid water as 1,000㎖, 60rpm slow stirring rate and 120rpm rapid stirring rate are applied. Different amounts of zeolite are employed as follows: 70㎎, 90㎎, 110㎎, 120㎎, and 150㎎. The analysis of 150min is conducted after input zeolite. In the case of slow stirring rate with 150㎎ zeolite injection, the turbidity changes from 1,446NTU to 17NTU, and the removal efficiency of turbidity is 98.82%. In rapid stirring rate application, with 150㎎ zeolite, it drops from 1,382NTU to 15NTU, and the removal efficiency of turbidity shows 98.91%. In addition, the turbidity of highly concentrated turbid water is rapidly decreased. From these experimental results, we could confirm that zeolite has high reducing effect in highly concentrated turbid water.
배상근(Bae, Sang Keun),신윤호(Shin, Yun Ho),서용수(Seo, Yong Su) 한국지적정보학회 2017 한국지적정보학회지 Vol.19 No.2
지하공간정보는 크게 지반정보, 지하시설물정보, 지하구조물정보로 구분되며, 이는 다시 여러 가지의 세부 정보로 분류된다. 본 논문에서는 다양한 지하공간정보 중 지하공간정보의 개념 및 구분, 특성, 구축 및 관리 현황, 법제도 등에 대한 현황조사를 통해 지하도상가를 연구 대상으로 선정하였다. 문헌조사 및 담당자 심층 인터뷰를 통해 지하도상가의 관리 현황 및 문제점을 분석하고, 그에 대한 해결 방안을 도출하였다. 점포 계약과 관련된 부분은 법제도적인 측면에서의 개선이 필요하고, 정보 구축 및 관리, 활용부분의 문제점은 공간정보를 이용한 개별점포 단위의 정보 구축 및 관리시스템 개발로 해결할 수 있을 것으로 보인다. 또한 지하도상가 정보를 이용한 서비스 모델로서 지하도상가 정보 구축 및 제공 서비스와 공간정보 기반 재난정보 제공 서비스를 제안하였다. The underground spatial information is classified into geotechnical information, underground facility information, underground structure information. In this study, the information of shopping center in underground passage was selected for this study object, after it is studied the concept, classification, characteristics, deployment and management status and the legal system of underground spatial information. And then the problems of management status and legal system were derived and proposed the solutions for them. It is possible to solve the problems to improve the legal system and to build the individual store information and management system based on spatial information. Finally, it was proposed to build and provide the underground mall information, and offer the disaster information service based on spatial information as service models.
배상근(Bae, Sang Keun),신윤호(Shin, Yun Ho),서용수(Seo, Yong Su) 한국지적정보학회 2018 한국지적정보학회지 Vol.20 No.2
지하도상가는 지하공간정보 중 지하구조물에 속하는 공공시설물로서 하루에도 수많은 사람들이 이용하는 보행 및 쇼핑공간이며 영세 자영업자들의 삶의 터전이다. 이렇듯 지하도상가는 우리의 삶에 밀접한 연관이 있는 시설물이자 공유재산임에도 불구하고 중앙정부 차원에서 관리하고 있는 타 지하공간정보에 비해 상대적으로 관리가 미흡한 실정이다. 본 연구에서는 이러한 문제를 해결하기 위해 개별 점포단위로 공간정보를 구축하였다. 도형정보 위주의 기존 유사사업과 달리 도형정보와 속성정보를 통합 구축하고, 이를 관리·활용할 수 있는 관리시스템을 개발하였다. 점포별로 생성·변경되는 정보를 지속적으로 축적하고 관리함으로써 정보 구축 뿐 아니라 상권분석, 재난재해 및 환경 분야에서도 지하도상가 정보를 유용하게 활용할 수 있을 것이다. 더불어 향후 유동인구 정보, 매출정보, 다양한 센서를 통해 수집되는 정보를 함께 융·복합하여 활용한다면 더욱 큰 부가가치를 창출할 수 있을 것으로 기대된다. In the category of underground spatial information, the underground shopping arcade shall be classified as a public underground structure, as it serves as a passage as well as a shopping mall for numerous pedestrians. It is also a place for self-employed small business owners. Even if the underground arcade is not only a structure closely related to the life of people but a public property, its information has been relatively neglected, compared to other underground spatial data built and managed at the government level. For such reasons, this study i) built the spatial information on individual stores, ii) integrated topographic and attribute data unlike conventional similar projects focusing only on topographic data, and iii) finally developed a management system to manage/utilize such integrated information. It can also be meaningfully used for trade area analyses and disaster/environmental sectors by constantly accumulating and managing information created/modified per shop. A much greater added value can be expected, if it is converged with other information such as floating population, revenue, and data collected from sensors.