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Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries.
Water Res. 2019 Mar 1;150:283-295. doi: 10.1016/j.watres.2018.11.063. Epub 2018 Nov 24.
Water Res. 2019.
PMID: 30529593
A method to assess the evolution and recovery of heavy metal pollution in estuarine sediments: Past history, present situation and future perspectives.
Bárcena JF, Claramunt I, García-Alba J, Pérez ML, García A.
Bárcena JF, et al.
Mar Pollut Bull. 2017 Nov 15;124(1):421-434. doi: 10.1016/j.marpolbul.2017.07.070. Epub 2017 Aug 12.
Mar Pollut Bull. 2017.
PMID: 28807419
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Flushing time as a descriptor for heavily modified water bodies classification and management: application to the Huelva Harbour.
Sámano ML, Bárcena JF, García A, Gómez AG, Álvarez C, Revilla JA.
Sámano ML, et al. Among authors: barcena jf.
J Environ Manage. 2012 Sep 30;107:37-44. doi: 10.1016/j.jenvman.2012.04.022. Epub 2012 May 10.
J Environ Manage. 2012.
PMID: 22579830
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Transport time scales as physical descriptors to characterize heavily modified water bodies near ports in coastal zones.
Gómez AG, Bárcena JF, Juanes JA, Ondiviela B, Sámano ML.
Gómez AG, et al. Among authors: barcena jf.
J Environ Manage. 2014 Apr 1;136:76-84. doi: 10.1016/j.jenvman.2014.01.042. Epub 2014 Feb 22.
J Environ Manage. 2014.
PMID: 24568939
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