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Li, Yue
- Research on Content, Distribution and Health Risk Assessment of PAHs in Surface Dust in Shenyang City
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PDF Views:0
Authors
Affiliations
1 College of Environmental Science, Liaoning University, 66 Chongshan Middle Road, Huanggu District, Shenyang 110036, CN
2 Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Street, Shenhe District, Shenyang 110016, CN
1 College of Environmental Science, Liaoning University, 66 Chongshan Middle Road, Huanggu District, Shenyang 110036, CN
2 Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Street, Shenhe District, Shenyang 110016, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 3 (2015), Pagination: 721-726Abstract
As the "source" and "collector" of PAHs, surface dust in cities, cause invisible, potential and long-term destructions to ecosystems. PAHs content in the surface dust and distributions of functional areas in Shenyang city was discussed systematically. PAHs composition differences in different functional areas were analysed. It was concluded that parks and residential districts present the least PAHs pollution, while commercial districts and roads suffer the heaviest PAHs pollution. Different functional areas show similar composition of PAHs. Most PAHs are high-ring ones, accompanied with some low-ring PAHs. The content of high-ring PAHs is proportional to the number of rings or molecular weight. PAHs pollution and health risk in Shenyang city were evaluated through various methods. Results demonstrated that PAHs pollution in Shenyang city has reached a high level, which is threatening the local ecological environment and human health significantly.Keywords
PAHs, Surface Dust, Health Risk Assessment.Full Text
- Automated Corpus Callosum Segmentation in Midsagittal Brain MR Images
Abstract Views :176 |
PDF Views:7
Authors
Affiliations
1 Department of Electrical and Computer Engineering, University of Alberta, CA
2 Department of Medicine, University of Alberta, CA
1 Department of Electrical and Computer Engineering, University of Alberta, CA
2 Department of Medicine, University of Alberta, CA
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 1 (2017), Pagination: 1554-1565Abstract
Corpus Callosum (CC) is an important white-matter structure in the human brain. Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that provides high resolution images for the structures. Segmentation is an important step in medical image analysis. This paper proposes a fully automated technique for segmentation of CC on the midsagittal slice of T1-weighted brain MR images. The proposed technique consists of three modules. First it clusters all homogenous regions in the image with an adaptive mean shift (AMS) technique. The automatic CC contour initialization (ACI) is achieved using the region analysis, template matching and location analysis, thus identify the CC region. Finally, the boundary of recognized CC region is used as the initial contour in the Geometric Active Contour (GAC) model, and is evolved to obtain the final segmentation result of CC. Experimental results demonstrate that the proposed AMS-ACI technique is able to provide accurate initial CC contour, and the proposed AMS-ACI-GAC technique overcomes the problem of user-guided initialization in existing GAC techniques, and provides a reliable and accurate performance in CC segmentation.Keywords
Adaptive Mean Shift Clustering, Automated Segmentation, Corpus Callosum, Geometric Active Contour, Template Matching.
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- Slope Stability Analysis with Reference to Rainfall Infiltration in the Yongping Copper Mine, China
Abstract Views :162 |
PDF Views:30
Authors
Affiliations
1 Hohai University, Nanjing, 210098, CN
2 Nanjing Tech University, Nanjing, 210098, CN
3 State Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan Institute of Mining Research, Co, Ltd, Anhui, 243000, CN
1 Hohai University, Nanjing, 210098, CN
2 Nanjing Tech University, Nanjing, 210098, CN
3 State Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan Institute of Mining Research, Co, Ltd, Anhui, 243000, CN
Source
Current Science, Vol 116, No 4 (2019), Pagination: 536-543Abstract
Due to the influence of rainfall infiltration, the slope of Yongping Copper Mine appears to have a high probability of instability, posing a great threat to the mineral transportation roads and mining safety. In this study, the hydraulic response of the slope under rainfall conditions is simulated, the response of the slope under different rainfall conditions is discussed, and the safety factor (FS) and the probability of failure (Pf) of the slope during and after a rainfall are analysed. The results indicate that rainfall infiltration has a hysteretic effect on slope instability. The failure of the mining slope at the elevation between 178 m and 226 m is likely to occur in three days after a rainfall. The activity distribution of the slope indicates that it is an advancing landslide.Keywords
Failure Probability, Open-Pit Mine, Rainfall Infiltration, Safety Factor, Slope Stability.Full Text
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