Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32412
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorHunter, P D-
dc.contributor.advisorTyler, A N-
dc.contributor.advisorSpyrakos, Evangelos-
dc.contributor.authorAullo-Maestro, Maria Encina-
dc.date.accessioned2021-03-12T08:21:00Z-
dc.date.issued2019-09-27-
dc.identifier.citationAulló-Maestro, M. E., Hunter, P., Spyrakos, E., Mercatoris, P., Kovács, A., Horváth, H., ... & Tyler, A. (2017). Spatio-seasonal variability of chromophoric dissolved organic matter absorption and responses to photobleaching in a large shallow temperate lake. Biogeosciences, 14(5), 1215-1233.en_GB
dc.identifier.urihttp://hdl.handle.net/1893/32412-
dc.description.abstractA substantial number of studies demonstrate the sensitivity of lakes to climate change and show that physical, chemical, and biological lake properties respond rapidly to climate-related changes. The indicators include variables such as temperature, dissolved organic carbon (DOC) or plankton composition. DOC is also known to play a primary role in protecting freshwater organisms from exposure to UV radiation and a big fraction of it is typically represented by dissolved organic matter (DOM). Moreover, the conservative properties between the coloured fraction of DOM (CDOM) and DOC, and the possibility of remotely estimating CDOM from space given its optical properties, makes it often used as a proxy for DOC. The development and validation of remote-sensing-based approaches for the retrieval of CDOM concentrations requires a comprehensive understanding of the sources and magnitude of variability in the optical properties of dissolved material within lakes. The present study aims to contribute with the knowledge of remote sensing of CDOM in inland water bodies with the specific objectives of characterising the link between CDOM absorption and DOC content in inland waters, investigating how changes in CDOM absorption can be used to infer information on its concentration, sources and decomposition and finally, to present an extensive CDOM algorithm validation exercise. The results of this Thesis indicate that the relationship between CDOM and DOC can vary remarkably. Strongest relationships have been found in waters with low anthropogenic influence, whereas waters more influenced by human activity present less clear linkages between the two parameters. As aromaticity increases in more productive waters we can then infer low CDOM to DOC relationships to them. 8 Remote-sensing models for DOC estimation based on the relationship between CDOM and DOC should therefore consider local variability and optical complexity, considering at least groups of water types according to their absorption features. In-lake spatial and seasonal variability in the quantity and quality of CDOM should also be taken into account. Photobleaching has been found to be a major factor controlling the in-lake transformation and degradation of CDOM, and a key process influencing the spatial structure CDOM throughout the system. These results also provide an insight on the potential contribution of wetlands to DOM and CDOM in lakes, not only in terms of the concentration of CDOM, but also in terms of its seasonality. All this leads to understand that CDOM content in complex inland waters usually present a wide range given their surrounding terrestrial characteristics and seasonal differences. The complexity of inland water bodies is currently a challenge to current remote sensing algorithms used to estimate parameters such as CDOM absorption (aCDOM). The accuracy of remote sensing-based retrievals of aCDOM at 440 nm (aCDOM (440)) can improve, mostly by targeting specific OWTs in algorithm development. For hypereutrophic waters with cyanobacterial blooms and abundant vegetation Blue-Green ratio based algorithms. For moderately productive waters with cyanobacteria presence, a double Blue-Green ratio based empirical algorithm is recommended. A double Blue-Green ratio and a Red-Green ratio for application in clear waters, turbid waters with high organic content, high productive waters with high cyanobacteria abundance and high reflectance at red/near-infrared spectral region. For waters high in CDOM, cyanobacteria presence and high absorption by NAP (Non-Algal Particles), a Green-Red ratio based algorithm. And finally, a semi analytic algorithm worked best for waters with high Rrs at short wavelengths.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Stirlingen_GB
dc.subjectRemote sensingen_GB
dc.subjectCDOMen_GB
dc.subjectlakesen_GB
dc.subject.lcshRemote sensingen_GB
dc.subject.lcshCarbon compoundsen_GB
dc.subject.lcshClimatic changesen_GB
dc.subject.lcshAcid pollution of rivers lakes etc Environmental aspectsen_GB
dc.subject.lcshWater qualityen_GB
dc.titleBio-geo-optical properties and remote sensing of CDOM in optically complex inland watersen_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnameDoctor of Philosophyen_GB
dc.rights.embargodate2021-04-01-
dc.contributor.funderUK NERC GloboLakes project (REF NE/J024279/1), University of Stirling Impact Studentship, EU FP7 INFORM, TÁMOP-4.2.2 A-11/1/KONV-2012-0038en_GB
dc.author.emailmeaullo@gmail.comen_GB
dc.rights.embargoterms2021-04-01en_GB
dc.rights.embargoliftdate2021-04-01-
Appears in Collections:Biological and Environmental Sciences eTheses

Files in This Item:
File Description SizeFormat 
PhD_Thesis_MEAulloMaestro_20210225_signed.pdf4.97 MBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.