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기후변화를 고려한 제주지역의 권역별 가뭄 평가 및 농업용수에의 영향 고찰
송성호 ( Sung Ho Song ),유승환 ( Seung Hwan Yoo ),배승종 ( Seung Jong Bae ) 한국환경과학회 2013 한국환경과학회지 Vol.22 No.5
Recently, the occurrences of droughts have been increased because of global warming and climate change. Water resources that mostly rely on groundwater are particularly vulnerable to the impact of precipitation variation, one of the major elements of climate change, are very sensitive to changes in the seasonal distribution as well as the average annual change in the viewpoint of agricultural activity. In this study, the status of drought for the present and future on Jeju Island which entirely rely on groundwater using SPI and PDSI were analyzed considering regional distribution of crops in terms of land use and fluctuation of water demand. The results showed that the precipitation distribution in Jeju Island is changed in intensity as well as seasonal variation of extreme events and the amount increase of precipitation during the dry season in the spring and fall indicated that agricultural water demand and supply policies would be considered by regional characteristics, especially the western region with largest market garden crops. Regarding the simulated future drought, the drought would be mitigated in the SPI method because of considering total rainfall only excluding intensity variation, while more intensified in the PDSI because it considers the evapotranspiration as well as rainfall as time passed. Moreover, the drought in the northern and western regions is getting worse than in the southern region so that the establishment of regional customized policies for water supply in Jeju Island is needed.
폐 PET 기반 활성탄의 CO<sub>2</sub> 및 N<sub>2</sub> 흡착특성
이정문 ( Jeong Moon Lee ),최태승 ( Tae Seung Choi ),박광현 ( Kwang Hyun Park ),송성호 ( Sung Ho Song ),심왕근 ( Wang Geun Shim ) 한국환경기술학회 2022 한국환경기술학회지 Vol.23 No.6
In this study, waste polyethylene terephthalate (PET) based activated carbon (AC) with different textural properties were prepared by adjusting the KOH mixing ratio. The prepared ACs were characterized by SEM, TEM, XRD, XPS and nitrogen adsorption analysis. From the characterization results, ACs showed a good correlation between the KOH mixing ratio and the surface area, pore volume and pore size, but there was no correlation with the surface chemical composition. In addition, the adsorption equilibrium amount of CO<sub>2</sub> and N<sub>2</sub> was measured under different temperature and pressure conditions using a volumetric adsorption apparatus. The adsorption amount of the target gas showed a good correlation with the ultramicropore volume (V<sub><0.9 nm</sub>) rather than the surface area and total pore volume of ACs. The gas adsorption behaviors according to the pore structure were compared and analyzed by adsorption isotherm models, isosteric heat of adsorption, and adsorption energy distribution function (AED). The selectivity for CO<sub>2</sub> calculated using the ideal solution theory (IAST) under flue gas (CO<sub>2</sub> : N<sub>2</sub> = 15 : 85) conditions suggests that the waste PET-based AC can be sufficiently used for the related CO2 adsorptive separation process.
Artificial Visual Landmark와 RFID를 이용한 이동로봇의 위치 보정
박희환(Hee Hwan Park),문승욱(Seung Wuk Moon),송성호(Seong Ho Song),지용관(Yong Kwan Ji),박장현(Jahng Hyon Park) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.11
To correct the relative location of an autonomous mobile robot, this paper proposes the location correction method using a single camera and an artificial visible polyhedron landmark with a RFID tag and its location with respect to the indoor environment is fixed. To achieve the purpose, the proposed algorithm should process the following 3 steps. At the first step, a robot rotates its RFID antenna to detect the direction angle which is the direction of the identified tag. At the second step, the algorithm applies Continuous Adaptive Mean Shift(CAMShift) method to extract the coordinates of feature points of the detected landmark. At the third step, the pose of the detected landmark can be estimated using the calibrated camera information of the robot. Finally the robot can correct its location efficiently.