Optical Methods for Water Pollution Monitoring

Andrei Utkin (), Alexander Lavrov (), Rui Vilar (), Sergey Babichenko (), Sergey Shchemelyov (), Innokenty Sobolev (), Luisa Bastos (), Richard Deurloo (), Jesús Torres Palenzuela (), Nina Yarovenko () and Isabel Cruz ()
Additional contact information
Andrei Utkin: INOV - INESC, Postal: INOV - INESC Inovação, Lisbon, Portugal, http://www.inov.pt/
Alexander Lavrov: INOV - INESC, Postal: INOV - INESC Inovação, Lisbon, Portugal, http://www.inov.pt/
Rui Vilar: INOV - INESC, Postal: INOV - INESC Inovação, Lisbon, Portugal, http://www.inov.pt/
Sergey Babichenko: LDI, Postal: Laser Diagnostic Instruments AS (LDI), Estonian R&D and production company, Estonia, http://www.ldi.ee/
Sergey Shchemelyov: LDI, Postal: Laser Diagnostic Instruments AS (LDI), Estonian R&D and production company, Estonia, http://www.ldi.ee/
Innokenty Sobolev: LDI, Postal: Laser Diagnostic Instruments AS (LDI), Estonian R&D and production company, Estonia, http://www.ldi.ee/
Luisa Bastos: CIIMAR, University of Porto, Postal: Centre of Marine and Environmental Research-CIIMAR, University of Porto, Portugal, http://www.cimar.org/
Richard Deurloo: University of Porto, Postal: Astronomical Observatory of the, University of Porto, Portugal, http://www.fc.up.pt/
Jesús Torres Palenzuela: University of Vigo, Postal: Laboratory of Remote Sensing and GIS, University of Vigo, Spain, http://www.uvigo.es/
Nina Yarovenko: University of Vigo, Postal: Laboratory of Remote Sensing and GIS, University of Vigo, Spain, http://www.uvigo.es/
Isabel Cruz: Hydrographic Institute, Postal: Hydrographic Institute, Chemistry and Pollution of the Marine Environment Division, Lisbon, Portugal, http://www.hidrografico.pt/

No 2011-17, Spatial and Organizational Dynamics Discussion Papers from CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve

Abstract: An innovative optical method for remote monitoring of water pollution was developed and tested in AMPERA ERA-NET Programme, project DEOSOM. The method is based on remote detection of laser-induced fluorescent radiation (LIF LIDAR). In the project, compact and light LIF LIDAR systems were developed, which can be operated by relatively unskilled personnel and used for early air- or shipborne pollution detection and evaluation, specifically for oil spill detection. The systems are provided with direct georeferencing, for exact localization of the oil spills, and artificial intelligence, for their automatic characterization. The paper presents the principles of the method and the results of tests carried out in the field and laboratory conditions

Keywords: Laser Induced Fluorescence; Remote Detection; Pollution; Oil Spill (search for similar items in EconPapers)
JEL-codes: Q53 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2011-11-30
New Economics Papers: this item is included in nep-cwa and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:ris:cieodp:2011_017

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