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Viroj Wiwanitkit Jamsai Suwansaksri Suphan Soogarun 《Stochastic Environmental Research and Risk Assessment (SERRA)》2008,22(2):281-283
Toluene is of particular concern because recent research indicating that toluene exposure can result in several toxicities.
Hence, toluene exposure is of particular concern because of ongoing exposure to thousands of workers in the industrial plants.
Determination of the urine hippuric acid level is accepted as a helpful for monitoring risk groups of workers. Apart from
the industrial workers, there are other occupations with high risk for toluene exposure. In this study, we study another at-risk
occupation, the police. In this study, 45 urine samples were obtained from 45 Thai police working close to traffic in an urban
area for determination for urine hippuric acid level. The average urine hippuric acid level was 0.70 ± 0.70 mg/gCr, respectively.
This average is significant higher than that of the control non-exposed Thais (P < 0.05). Working in the air pollution in the urban area can be health hazard for the police. Exposure to the toluene from
automobile exhaust can be an important occupational problem for these police. 相似文献
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Viroj Wiwanitkit Jamsai Suwansaksri Suphan Soogarun 《Stochastic Environmental Research and Risk Assessment (SERRA)》2008,22(6):805-807
Lead has no biological function and is one of the most toxic metals. Of several heavy metals, monitoring of lead is an important
focus in occupational medicine. In exposure and risk evaluation, monitoring lead biologically has several advantages over
technical exposure assessment. In this article, the authors report a very high blood lead level among the Mahayana Buddhist
monks. This is a forgotten high-risk population. The environmental implication in the monitoring and controlling of this population
is raised. 相似文献
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Suphan Saykawlard Kiyoshi Honda Ashim Das Gupta Apisit Eiumnoh Xiaoyong Chen 《水文研究》2005,19(4):947-954
This study explores the potential for predicting the spatial variation in subsurface water level change with crop growth stage from satellite data in Thabua Irrigation Project, situated in the northern central region of Thailand. The relationship between subsurface water level change from pumping water to irrigate rice in the dry season and the age of the rice was analysed. The spatial model of subsurface water level change was developed from the classification using greenness or (normalized difference vegetation index NDVI) derived from Landsat 5 Thematic Mapper data. The NDVI of 52 rice fields was employed to assess its relationship to the age of the rice. It was found that NDVI and rice age have a good correlation (R2 = 0·73). The low NDVI values (−0·059 to 0·082) in these fields were related to the young rice stage (0–30 days). NDVI and subsurface water level change were also correlated in this study and found to have a high correlation (Water level change (m day−1) = 0·3442 × NDVI − 0·0372; R2 = 0·96). From this model, the water level change caused by rice at different growth stages was derived. This was used to show the spatial variation of water level change in the project during the 1998–99 dry‐season cropping. This simple method of using NDVI relationships with water level change and crop growth stages proves to be useful in determining the areas prone to excessive lowering of the subsurface water level during the dry season. This could assist in the appropriate planning of the use of subsurface water resources in dry‐season cropping. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
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