• Title/Summary/Keyword: 인제

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건협소식

  • KOREA ASSOCIATION OF HEALTH PROMOTION
    • 건강소식
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    • v.23 no.9 s.250
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    • pp.42-43
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    • 1999
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Biological Nutrient Removal by Enhancing Anoxic Phosphate Uptake (무산소 조건에서의 인섭취를 이용한 생물학적 영양염류 제거)

  • Lee, Dae Sung;Jeon, Che Ok;Park, Jong Moon
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.5
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    • pp.861-867
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    • 2000
  • The feasibility of simultaneous phosphorus and nitrogen removal by enhancing anoxic phosphorus uptake was investigated in a sequencing batch reactor (SBR). By introducing an anoxic phase into an anaerobic-aerobic SBR (AO SBR), significant amounts of denitrifying phosphorus accumulating organisms (DPAOs) which can utilize nitrate as electron acceptor could be accumulated in the reactor (anaerobic-aerobic- anoxic-aerobic SBR, $(AO)_2$ SBR). A direct comparison of phosphorus uptake rate under anaerobic and aerobic conditions showed that the fraction of DPAOs in P-removing sludge were increased from 10% in the AO SBR to 64% in $(AO)_2$ SBR. The $(AO)_2$ SBR showed stable phosphorus and nitrogen removal efficiency: average removal efficiencies of TOC, total nitrogen, and phosphorus were 92%, 88%, and 100%. respectively. Results of the $(AO)_2$ SBR operation and batch tests showed that nitrite (up to 10 mg-N/L) was not detrimental to anoxic phosphorus uptake and could serve as good electron acceptor like nitrate.

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Tourism Resource Development of Travel Souvenir of Gangwon-do using Limited Production - Focusing on Inje-gun in Gangwon-do - (제한 복제생산방식을 활용한 강원지역 문화상품의 관광자원화 방안 연구 -강원도 인제군을 중심으로-)

  • Choi, Ki;Shin, Soo-Khil
    • Archives of design research
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    • v.18 no.1 s.59
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    • pp.205-214
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    • 2005
  • A development proposal that maximizes the trend of travel souvenir and articles toward tourism and natural resources through utilization of the Limited Production method was the focus of the present research. First, the flaws of travel souvenir and articles, currently produced in Inje, Kangwon-Do, were identified, as were the regional uniqueness of the area. The comparative advantages of developmental conditions of the above-specified region to various other Si/Kun regions were demonstrated to ascertain the optimal production method of travel souvenir and articles. The results are as follows. Superior supply of,7aw materials necessary for production of wood-worked travel souvenir and articles are abundantly available and the dose proximity of 17 existing workshops self-contain the production capacity to sustain the Limited Production method. Furthermore, the regional governing council conveyed positive attitudes towards the prospect of creating a regional production complex of wood-worked travel souvenir and articles. The results demonstrate that the optimal method of maximizing the trend of travel souvenir and articles toward tourism and natural resources is achieved through systematic collaboration of industry, education, and tourism that promote development, production, and merchandising of Inje's regional travel souvenir and articles.

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Landslide Risk Assessment in Inje Using Logistic Regression Model (로지스틱 회귀분석을 이용한 인제군 산사태지역의 위험도 평가)

  • Lee, Hwan-Gil;Kim, Gi-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.313-321
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    • 2012
  • Korea has been continuously affected by landslides, as 70% of the land is covered by mountains and most of annual rainfall concentrates between June and September. Recently, abrupt climate change affects the increase of landslide occurrence. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. In this study, a landslide risk assessment model was developed by applying logistic regression to the various data of Duksan-ri, Inje-eup, Inje-gun, Gangwon-do, which has suffered massive landslide triggered by heavy rain in July 2006. The information collected from field investigation and aerial photos right after the landslide of study area were stored in GIS DB for analysis. Slope gradient entered in two ways-as categorical variable and as linear variable. Error matrix for each case was made, and developed model showed the classification accuracy of 81.4% and 81.9%, respectively.