Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Environmental Health Sciences
Journal Basic Information
Journal DOI :
Korean Society of Environmental Health
Editor in Chief :
Volume & Issues
Volume 28, Issue 5 - Dec 2002
Volume 28, Issue 4 - Nov 2002
Volume 28, Issue 3 - Sep 2002
Volume 28, Issue 2 - Jun 2002
Volume 28, Issue 1 - Mar 2002
Selecting the target year
Comparison of Chlorine, Chlorine Dioxide and Ozone as Disinfectants in Drinking Water
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 1~8
The experiments for the characterization of inactivation were performed in a series of batch processes with the total coliform as a general indicator organism based on chlorine, chlorine dioxide and ozone as disinfectants. The water sam-ples were taken from the outlet of settling basin in a conventional surface water treatment system that is provided with the raw water drawn from the mid-stream of the Han River. The inactivation of total coliform was experimentally ana-lyzed for the dose of disinfectant contact time, pH, Temperature and DOC. The nearly 2.4,3.0,3.9 log inactivation of total coliform killed by injecting 1 mか1 at 5 minutes for chlorine, chlorine dioxide and ozone. For the inactivation of 99.9%(3 log), Disinfectants required were 1.70, 1.00 and 0.60 mか1 for chlorine, chlorine dioxide and ozone, respec-tively. The higher the pH is, the poorer the disinfections effects are in the range of pH 6-9 by using chlorine and ozone. But the irfluence of pH value on killing effects of chlorine dioxide is weak. The parameters estimated by the models of Chick-Watson, Hom, and Selleck from our experimental data obtained for chlorine are: log(N/
)=-0.16 CT with n= 1, log(N/
T with n
1, for Chicks-Watson model, log (N/
for Hom model. For chlorine dioxide are: log(N/
)= -1.53 CT with n = 1, log(N/
T with n
1,, for Chicks-Watson model, log(N/
for Hom model and for ozone are: log(N/
)= -2.59 CT with n = 1, log(N/
T with n
1, for Chicks-Watson model, log(N/
for Hom model.19/ for Hom model.
Heterotrophic Bacteria in Terms of Free Chlorine Residuals in water Distribution Systems
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 9~18
This study was to observe the occurrence of heterotrophic bacteria in terms of free chlorine residuals in two different water distribution systems belong to both K and Y water treatment plant. The data analyzed in this study showed that in distribution systems(DS), the free chlorine residuals were decreased from 0.10 to 0.56 ㎎/1 for K, and 0.51 and 0.78 ㎎/l for Y The decay of free chlorine were clearly higher in both March and August than those in January. The HPC in DS were ranged from 0 to 40 CFU/ml for K,0 to 270 CFU/ml for Y, on R2A medium. In particular, Its level was relatively high at consumers' ground storage tanks, taps and point-of-end area of Y, The predominant genera found in the distribution systems were Acinetobacter, Sphingomonas (branch of Pseudomonas), Microroccus, Bacillus, Staphylococcus. The diversity of heterotrophic bacteria was increased in the end-point area. Most of them were either encapsulated cells or cocci of gram-positve. In conclusion, the point-of-end area in distribution systems showed that the longer flow distance from WTP the greater diversity and higher level of heterotrophic bacteria due to the significant decay of free chlorine residuals.
Comparison of the BOD Forecasting Ability of the ARIMA model and the Artificial Neural Network Model
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 19~25
In this paper, the water quality forecast was performed on the BOD of the Chungju Dam using the ARIMA model, which is a nonlinear statistics model, and the artificial neural network model. The monthly data of water quality were collected from 1991 to 2000. The most appropriate ARIMA model for Chungju dam was found to be the multiplicative seasonal ARIMA(1,0,1)(1,0,1)
, model. While the artificial neural network model, which is used relatively often in recent days, forecasts new data by the strength of a learned matrix like human neurons. The BOD values were forecasted using the back-propagation algorithm of multi-layer perceptrons in this paper. Artificial neural network model was com- posed of two hidden layers and the node number of each hidden layer was designed fifteen. It was demonstrated that the ARIMA model was more appropriate in terms of changes around the overall average, but the artificial neural net-work model was more appropriate in terms of reflecting the minimum and the maximum values.s.
A Study on the Evaluation of the Stop-smoking Program for Active Smoking- and Passive Smoking Students
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 26~33
Adolescents exposed chronically to tobaccotobacco smoke have been found to have reduced pulmonary function as well as an increased risk of lung cancer and a serious heart disease. Consequently, reducing exposure to tobacco smoke is an important public health goal. This study was conducted to develope the exact evaluation method of student smoker or heavy exposure from ETS, and the change on smoking behavior and attitude after a stop-smoking program. From the study, we concluded that the cotinine concentrations in saliva from students indicate exactly whether they are smoker or not. Also, it was found that the more and exact informations from both the cotinine analysis and the questionnaire were obtained than from only the questionnaires. The non-smokers had more positive effects on the changes of cog-nitions, behaviors and attitude about passive-smoking after a stop-smoking program than the smokers. The results of this study show that through both the accurate determination of cotinine in saliva and the questionnaires, the smoking status and the tobacco education effectiveness can be predicted.
Analysis of Sewage Plant Operation by Statistical Approach
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 34~38
Statistical analysis between sewage plant operating parameters and the effluent quality was performed. We extracted two factors from principal component analysis of operating parameters and effluent quality from each plant. The total variance of 84.7%, 79.2% was explained by the two factors at SB plant and SC plant, respectively. The factors were identified at SB plant in the following order 1) the oxidation of organic material by aeration basin microbe,2) biomass in aeration basin and at SC plant 1) the oxidation of organic material by aeration basin microbe, 2) thickening of acti-vated sludge. These results suggested that the control of microbial composition might be critical on the improvement of the effluent quality and plant operating efficiency because most of the factors were related with microbes.
Indoor and Outdoor Distribution of Legionella spp and Microbes on Cooling Towers Water of Central Air Conditioning Facilites
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 39~48
Cooling towers water has frequently been known as a source of infection in outbreaks of Legionnaires' disease and a source of indoor air pollution. However, there have been a few reports on the presence of Legionella in cooling towers water and aerosols of various public facilities. This study was carried out to investigate the indoor and outdoor dis-tribution of Legionella spp and microbe from 132 cooling towers water of public facilities detected 1. pneumophila in Seoul and Gyeonggi-Do areas. The results showed that the Lpneumophila among the selected 132 cooling towers was detected mostly in July (12.0%), followed by August (4.0%) and June, September no-detected. The 1. pneumophiia in public facilities was detected mostly in department store (27.3%), followed by hospital (8.7%), office building (5.9%), big market (5.0%) and hotel, subway no-detected. The pH values of cooling towers water with presence of 1. pneumophila showed mostly 8.0 or higher (9.5%), followed by 7.0～8.0 (6.8%), lower 7.0 no-detected. The tem-perature of cooling towers water with presence of L pnemophila showed mostly 30℃ or higher (9.8%), followed by 26～30℃ (6.9%), lower 25℃ no-detected. The turbidity of cooling towers water with presence of 1. pneumaphila showed mostly 1-2 M (8.8%), followed by above 2 NTU (5.9%), lower 1 NTU no-detected. The correlation coef-ficient between indoor and outdoor concentration of microbes in public facilities showed 0.67 in Legionella spy. (p>0.05), 0.93 in bacteria (p<0.01), 0.94 in fungus (p<0.01), 0.98 in coilform (p<0.01), respectively.
Preparation and Characteristics of Immobilized Sludge by the PAA Entrapment Method
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 49~54
This study was conducted to evaluate the feasibility and characteristics of poly acrylamide (PAA) immobilized sludge as a microbial entrapment bead for wastewater treatment. In the PAA method of immobilized sludge, it was found that the optimum acrylamide concentration for actual wastewater treatment was to be 12%. When the sequencing batch reactor (SBR) was operated during 30 days, removal efficiencies of TOC and phosphate was 95% and 70ft, respectively. From this research, repeated cycle of anaerobic and aerobic conditions is required to enhance the removal of TOC and phosphate. During the operation, immobilized cells could be used without being disrupted.
Treatment of Textile Wastewater by Anaerobic Sludge and Aerobic Fixed-Bed Biofilm Reactor
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 55~63
This study was carried out to treat textile wastewater using anaerobic sludge and aerobic fixed-bed biofilm reactor immobilized with Bacillus sp. dominated activated sludge(Bacillus sp. fraction : 81.5%). The range of influent con-centration of SCOD and soluble color were 1032-1507 mg/1, and 1239-1854 degree, respectively. Continuous treatment experiments were performed with variation of textile wastewater ratio at a same HRT. When textile wastewater ratio was 100%(HRT : 24 hours), The removal efficiency of SCOD and soluble color were 88% and 78%, respectively. When compare aerobic reactor of this study that was immobilized with Bacillus sp. dominated activated sludge to other study that was immobilized with activated sludge, SCOD and soluble color removal efficiency of this study showed a little higher efficiency than immobilized with activated sludge. The Bacillus sp. fraction of initial condition was 81.5%), but the fraction after operation was decreased to 31.8%).
Elemental Analysis of herbal medicine, Foundry Air and Hair for the Study of Human Surroundings
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 64~71
Hair provides important information about the body's mineral status. Therefore, we have studied the trace elemental distribution in human hair under different inhalation and ingestion environment using neutron activation analysis (NAA). NAA is a powerful analytical method which can be used successfully to determine trace elements in environmental and biological materials. Total diet and six different herbal medicine were analysed to study ingestion environment. Airborne dust in foundry was analysed and compared with outdoor dust to study inhalation environment. Human hairs of common person, herbal medicine taker and foundry worker were analysed to estimate the trace elemental distribution of people under different inhalation and ingestion environment. Analytical results show that herbal medicines contain higher micronutrients such as Ca, Mg, Mn and Cu that total diet and airborne dust in foundry has high Cr. The concentration of Ca, Mg and Mn in hair of herbal medicine taker is two times higher than in hair of common person and Cr con-centration in hair of foundry worker is about three times higher than in hair of common person. These results show that NAA can be used importantly to monitor human health through biological and environmental samples.
The Effect of Hospital Environment on Employee레s Job Stress
Korean Journal of Environmental Health Sciences, volume 28, issue 3, 2002, Pages 72~76
This study aims to explore the importance of job stress for hospital employees and psychosocial risk factors of their job stress. 1,890 survey questionnaires collected from 14 hospitals are used for the analysis. The study results shows that stress is the most important risk factor perceived by hospital workers. Also stress-related symptoms and diseases are perceived to occur most frequently among hospital employees. The multiple logistic regression analysis shows age, working hours, shiftwork, job demand, decision-latitude and social support from supervisor and colleagues affect stress level of hospital employees.