• Journal of Korean Society for Atmospheric Environment
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• v.25 no.3
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• pp.188-195
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• 2009

Generally. mobile sources of air pollution were classified in on-road and non-road. Due to increased registration number of construction equipment in Korea. updated emission factors for non-road mobile sources, such as construction machinery. should be developed. NONROAD model of U.S. EPA already has introduced transient adjustment factors and sulfur adjustment factors for emission factors of diesel powered engine. In addition to this. European Environment Agency (EEA) has proposed emission factors for off-road machinery including several types of construction equipment. In this study. six types of construction equipment, such as excavator. forklift, loader, crane, roller and bulldozer, were studied to estimate emission factors based on total registration status in Korea. Total 445 construction equipments between 2004 and 2007 model year were tested with KC1-8 mode and air pollutants (CO, THC, $NO_x$, and PM) were measured. After statistical estimation and calculation, emission factors for CO, THC, $NO_x$, and PM for excavator, forklift, loader, crane, roller and bulldozer were provided and compared with previous emission factors. Moreover, updated emission factors for six types of construction equipment in this study were verified after comparison with emission factors of U.S. EPA. Finally, estimated emission amounts of four air pollutants were suggested according to six types of construction equipment.

• Korean Journal of Psychosomatic Medicine
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• v.21 no.2
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• pp.140-146
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• 2013

Objectives: We compared the characteristics of the pain threshold and pain experience between demented group and non-demented group. Methods: This study was part of Gangwon projects for early detection of dementia in 2010. We recruited 8302 local resident ages over 65 years old. Of theses, 1259 people who scored low MMSE were selected and 365 of them completed CERAD-K(Consortium to Establish a Registry for Alzheimer's disease). Finally, 90 in non-demented group and 57 in demented group(mild to moderate Alzheimer's disease) were analyzed. Pain threshold was experimentally measured by pressure algometer and we investigated the pain experience, by Brief pain inventory (BPI), a self-report test. Results: In the demographic characteristics, there are more female, higher ages, lower education in the demented group. There was no significant difference between the two groups in the pain threshold. On the BPI results, 'shoulder pain', 'the number of pain' and 'interference of working' were significantly more prevalent in non-demented group. However, there are no significant differences between the groups in the 'pain severity', 'prevalence of pain' and 'pain treatment'. Conclusions: Demented group report less pain experience but, still perceived pain. It support previous studies that patient with dementia have increased pain tolerance but preserved pain threshold. Thus, active pain assessment and treatment for patients with dementia is needed.

• Journal of Korea Water Resources Association
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• v.39 no.4 s.165
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• pp.299-311
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• 2006

In this paper it is outlined the methodology of estimating the parameters of water balance analysis method for calculating recharge, using ground water level rises in monitoring well when values of specific yield of aquifer are not available. This methodology is applied for two monitoring wells of the case study area in northern area of the Jeiu Island. A water balance of soil layer of plant rooting zone is computed on a daily basis in the following manner. Diect runoff is estimated by using SCS method. Potential evapotranspiration calculated with Penman-Monteith equation is multiplied by crop coefficients($K_c$) and water stress coefficient to compute actual evapotranspiration(AET). Daily runoff and AET is subtracted from the rainfall plus the soil water storage of the previous day. Soil water remaining above soil water retention capacity(SWRC) is assumed to be recharge. Parameters such as the SCS curve number, SWRC and Kc are estimated from a linear relationship between water level rise and recharge for rainfall events. The upper threshold value of specific yield($n_m$) at the monitoring well location is derived from the relationship between rainfall and the resulting water level rise. The specific yield($n_c$) and the coefficient of determination ($R^2$) are calculated from a linear relationship between observed water level rise and calculated recharge for the different simulations. A set of parameter values with maximum value of $R^2$ is selected among parameter values with calculated specific yield($n_c$) less than the upper threshold value of specific yield($n_m$). Results applied for two monitoring wells show that the 81% of variance of the observed water level rises are explained by calculated recharge with the estimated parameters. It is shown that the data of groundwater level is useful in estimating the parameter of water balance analysis method for calculating recharge.