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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramos, P. Abreu, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: INESC Porto, Campus da FEUP, Rua Dr. Roberto Frias, 378, 4200-465 Porto, Portugal (Abreu, N.) || INESC Porto, Campus da FEUP, Rua Dr. Roberto Frias, 378, 4200-465 Porto, Portugal, ISCAP - IPP, Rua Jaime Lopes Amorim, s/n, 4465-004 S. Mamede de Infesta, Portugal (Ramos, P.) |
| Abstract | Ocean sewage outfalls are major sources of contaminants to coastal ocean ecosystems. This method of disposal has advantages in terms of economy and relative societal impact, but it also raises important concerns about public health and ecosystem preservation. Autonomous Underwater Vehicles have already been shown to be very useful for monitoring routine of ocean outfalls. The major advantage of this technology over traditional methods is the ability to collect high-resolution data which can be very valuable for environmental impact assessment and comparison with plume prediction models. Once the data has been collected in the field it is necessary to extrapolate from monitoring samples to unsampled locations. Geostatistics has been successfully used to obtain information, for example, regarding the spatial distribution of soil properties. In this work geostatistics is used to model and map the spatial distribution of temperature and salinity measurements gathered by MARES AUV in a monitoring campaign to Foz do Arelho outfall, with the aim of distinguishing the effluent plume from the receiving waters and characterizing its spatial variability in the vicinity of the discharge. The results demonstrate that this methodology provides good estimates of the dispersion of effluent and it is therefore very valuable in assessing the environmental impact and managing sea outfalls. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 1345610 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781457700866 |
| e-ISBN | 9781457700880 |
| DOI | 10.1109/Oceans-Spain.2011.6003651 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-06 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Temperature measurement Monitoring Temperature distribution Histograms Sea measurements Data models Ocean temperature |
| Content Type | Text |
| Resource Type | Article |
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