Keyword search (3,448 papers available)


Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.

Author(s): Khalilpourazari S, Hashemi Doulabi H

World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020. Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives due to the illness by September 3, 2020. Prediction of the COVID-19 pandemic will enable pol...

Article GUID: 33424076
Investigation into the oil removal from sand using a surface washing agent under different environmental conditions.

Author(s): Bi H, An C, Chen X, Owens E, Lee K

Spilled oil frequently reaches the shorelines and affects coastal biota and communities. The application of surface washing agents is an important shoreline cleanup technique that can help remove stranded oil from substrate surfaces with the advantages of h...

Article GUID: 32829266
Title:Investigation into the oil removal from sand using a surface washing agent under different environmental conditions.
Authors:Bi H,  An C,  Chen X,  Owens E,  Lee K
Link:https://www.ncbi.nlm.nih.gov/pubmed/32829266
DOI:10.1016/j.jenvman.2020.111232
Category:J Environ Manage
PMID:32829266
Dept Affiliation: ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8, Canada.
2 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8, Canada. Electronic address: chunjiang.an@concordia.ca.
3 Institude for Energy, Environment and Sustainable Communities, University of Regina, Regina, S4S 0A2, Canada.
4 Owens Coastal Consultants, Bainbridge Island, WA, 98110, USA.
5 Fisheries and Oceans Canada, Ecosystem Science, Ottawa, ON, K1A 0E6, Canada.

Description:

Investigation into the oil removal from sand using a surface washing agent under different environmental conditions.

J Environ Manage. 2020 Aug 20; 275:111232

Authors: Bi H, An C, Chen X, Owens E, Lee K

Abstract

Spilled oil frequently reaches the shorelines and affects coastal biota and communities. The application of surface washing agents is an important shoreline cleanup technique that can help remove stranded oil from substrate surfaces with the advantages of high removal efficiency, low toxicity, and strong economic viability. In this study, the investigation into the oil removal from contaminated sand using a surface washing agent under variable environmental conditions was conducted. A preliminary test was conducted to obtain the optimal combination of operating factors of surface washing agent-to-oil ratio (SOR) 2:1, mixing speed 150 rpm, and mixing time 30 min. The results of single-factor experiments showed that high temperature and humic acid concentration of flush water contributed to the performance of a surface washing agent, while salinity and kaolinite concentration could inhibit its performance. The factorial analysis revealed the main effects of temperature and salinity, and the interactive effects of temperature and salinity as well as salinity and humic acid concentration that were significant to the washing efficiency of the surface washing agent. In addition, the comprehensive assessment of a surface washing agent from the aspects of toxicity, detergency, dispersion properties, and field trials was conducted. The results have significant implications for future application of surface washing agents in the shoreline cleanup.

PMID: 32829266 [PubMed - as supplied by publisher]