• Title/Summary/Keyword: 투기 전략

Search Result 13, Processing Time 0.018 seconds

A Study on the Improvement of Marine Pollution and Marine Litter Managements in Korea (우리나라 해양오염 및 해양폐기물관리 개선에 관한 연구)

  • Park, Kwang-Ha;Kwon, Young-Du;Kim, Jong-Sung
    • Journal of the Korea Organic Resources Recycling Association
    • /
    • v.21 no.4
    • /
    • pp.33-43
    • /
    • 2013
  • That occur in the ocean and the efficient management of marine litter on marine pollution oil spill response one step further strategies are needed. Marine pollution accidents occurred in 2011, a total of 287 and was found in runoff 369 kL, respectively compared to the previous year decreased by 13% and 39%. Average amount of marine materials during 5-years represent the oil flow of 310.5 kL (heavy fuel oil of 106.0 kL, diesel of 178.9 kL, oily bilge water of 22.3 kL, other oil of 7.7 kL) and the waste of 62.3 tons, the hazardous and noxious substances (HNS) was 510.6 kL. Marine emissions in 2011 by type of waste that a total amount of dumping 3,972 $m^3$, and livestock manure 795 $m^3$(20%), waste water 1,431 $m^3$(36%), sewage sludge 887 $m^3$(22%), wastewater sludge, 813 $m^3$(21%), manure 5 $m^3$(0.1%), other 41 $m^3$(0.9%), respectively. The concept of marine waste and needs to be more clearly defined. Integrated management of hazardous chemicals according to the incident management system should be established. To remove of coastal pollution, response officer needs korean coast response system. Like the marine pollution response, coastal pollution response systems also require step response.

Satisfaction Factors and Determinants of Visitors in Taeanhaean National Park, Korea (태안해안국립공원 탐방객 만족요인 및 예측모형)

  • Baek, Jae-Bong;Kim, Dong-Pil
    • Korean Journal of Environment and Ecology
    • /
    • v.24 no.2
    • /
    • pp.101-107
    • /
    • 2010
  • This study was carried out to provide basic data for efficient park management by analysing visitors' satisfaction factors and estimated regression model through questionnaire survey method at Taeanhaean National Park in Korea. Performance(satisfaction) variables as 'touting', 'illegal merchant', 'noise', 'indiscreet use' and 'collection of natural plants or animals', and Importance variables as 'littering problem', 'water pollution act', 'careless cooking' and 'exorbitant pay' were relatively high score. It was clarified that the 'souvenir & special product', 'lack of use program' 'lack of public facility', 'lack of information facility', and 'lack of commercial facility' were 'concentrate here' ones by the Importance-Performance analysis. 'Facility management', 'Use management' and 'Resource management' factors were found out by Factor Analysis and the 'Facility management' was the biggest factor accounting for 32.6% of all. In the estimated model by Multiple Regression Analysis, 'lack of employee's guidance or kindness', 'lack of convenience facility', 'noise', 'lack of facilities to stay' and 'charge of user fee, parking fee' were the variables to impact visitors' satisfaction and to need concentrated management. These results were unique characteristics of marine national park and then the different management strategy and policy from mountain national park were necessary.

Implementation of Monitoring System of the Living Waste based on Artificial Intelligence and IoT (AI 및 IoT 기반의 생활 폐기물 모니터링 시스템 구현)

  • Kim, Sang-Hyun;Kang, Young-Hoon;Yoon, Dal-Hwan
    • Journal of IKEEE
    • /
    • v.24 no.1
    • /
    • pp.302-310
    • /
    • 2020
  • In this paper, we have implemented the living waste analysis system based on IoT and AI(Artificial Intelligence), and proposed effective waste process and management method. The Jeju location have the strong point to devise a stratagem and estimate waste quantization, rather than others. Especially, we can recognized the amount variation of waste to the residence people compare to the sightseer number, and the good example a specific waste duty. Thus this paper have developed the IoT device for interconnecting the existed CCTV camera, and use the AI algorithm to analysis the waste image. By using these decision of image analysis, we can inform their deal commend and a decided information to the map of the waste cars. In order to evaluate the performance of IoT, we have experimented the electromagnetic compatibility under a national official authorization KN-32, KN61000-4-2~6, and obtained the stable experimental results. In the further experimental results, we can applicable for an data structure for precise definition command by using the simulated several waste image with artificial intelligence algorithm.