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HEAVY METAL CONTAMINATION IN SHALLOW GROUNDWATER IN THE ILLEGAL LANDFILL AREA, EASTERN THAILAND

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): SCHRADH SAENTON , SORRAWIT THAMMAJAI

Abstract: A shallow groundwater sampling scheme was conducted for a site located nearby the illegal landfill, eastern Thailand. The site was consisted of several soil pits which were subsequently filled by unidentified industrial wastes for an unknown duration. This preliminary investigation includes groundwater samplings and chemical analyses. Groundwater flow direction is mainly from north to south where the illegal landfill is clearly located on the groundwater flow pathways and this could pose a potential threat for groundwater contamination. Seven heavy metals are iron, lead, manganese, copper, zinc, nickel, and cadmium. Most metal are in the Thai Government’s regulated standards except for Mn and Pb for wells located near the landfill. Future work will include more detailed investigation and modeling to predict the extent and advance of contamination.

  • Publication Date: 03-Aug-2014
  • DOI: 10.15224/978-1-63248-004-0-23
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MODIFICATION OF THE ADAPTIVE MORPHOLOGY AND MASK OVERLAPPING FOR BLOOD VESSEL SEGMENTATION

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL ENGINEERING
Author(s): ARIF MUNTASAA , INDAH AGUSTIEN SIRADJUDDIN , MOCHAMMAD KAUTSAR SOPHAN

Abstract: Modification of the Adaptive Morphology and Mask Overlapping is proposed in this research for the blood vessel segmentation of the retinal image. The method consists of five main stages, first, enhancement of retinal image using adaptive enhancement method. Second stage is bottom Hat transformation for the segmentation and noise removal. Third, adaptive thresholding process to remove the remain noise in the image. Morphological operation is applied in the fourth stage, i.e. skeletonization and pruning. Skeletonization is used for the blood vessel thinning process, and pruning is used is to remove unused branches of the segmented blood vessel. The last stage in this research is noise removal using mask overlapping. Experiment is done using the retinal image from the DRIVE dataset. The sensitivity, specificity, and the accuracy of the segmentation method are 78.5%, 95.67%, and 87.12% respectively

  • Publication Date: 03-Aug-2014
  • DOI: 10.15224/978-1-63248-004-0-24
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