Search results for "Colored dissolved organic matter"

showing 10 items of 14 documents

Iron and pH regulating the photochemical mineralization of dissolved organic carbon

2017

Solar radiation mineralizes dissolved organic matter (DOM) to dissolved inorganic carbon through photochemical reactions (DIC photoproduction) that are influenced by iron (Fe) and pH. This study addressed as to what extent Fe contributes to the optical properties of the chromophoric DOM (CDOM) and DIC photoproduction at different pH values. We created the associations of Fe and DOM (Fe-DOM) that cover the range of loadings of Fe on DOM and pH values found in freshwaters. The introduced Fe enhanced the light absorption by CDOM independent of pH. Simulated solar irradiation decreased the light absorption by CDOM (i.e., caused photobleaching). Fe raised the rate of photobleaching and steepened…

ta222mineralisation010504 meteorology & atmospheric sciencesphGeneral Chemical Engineeringsolar radiationhiiliInorganic chemistryta1172education116 Chemical sciencesrauta010501 environmental sciencesPhotochemistry01 natural sciencesMineralization (biology)Articlelaw.inventionlcsh:ChemistryironMagazinelawDissolved organic carbonIrradiationauringonsäteilyta1161172 Environmental sciences0105 earth and related environmental sciencesChemistrypHcarbonGeneral ChemistryPhotobleaching6. Clean watermineralisaatioColored dissolved organic matterlcsh:QD1-999
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Primary production calculations for sea ice from bio-optical observations in the Baltic Sea

2016

Abstract Bio-optics is a powerful approach for estimating photosynthesis rates, but has seldom been applied to sea ice, where measuring photosynthesis is a challenge. We measured absorption coefficients of chromophoric dissolved organic matter (CDOM), algae, and non-algal particles along with solar radiation, albedo and transmittance at four sea-ice stations in the Gulf of Finland, Baltic Sea. This unique compilation of optical and biological data for Baltic Sea ice was used to build a radiative transfer model describing the light field and the light absorption by algae in 1-cm increments. The maximum quantum yields and photoadaptation of photosynthesis were determined from 14C-incorporatio…

0106 biological sciencesAtmospheric ScienceEnvironmental Engineering010504 meteorology & atmospheric scienceseducationOceanographySolar irradianceAtmospheric sciences01 natural sciencesAtmospheric radiative transfer codesprimary production calculationsbiogeochemistrySea ice14. Life underwaterAbsorption (electromagnetic radiation)1172 Environmental scienceslcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350geographygeography.geographical_feature_categoryEcologyChemistry010604 marine biology & hydrobiologySea IceGeologyAlbedoGeotechnical Engineering and Engineering GeologyColored dissolved organic matterFast ice13. Climate actionClimatologySea ice thickness
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Influence of Riverine Input on Norwegian Coastal Systems

2020

Coastal ecosystems are of high ecological and socioeconomic importance and are strongly influenced by processes from land, sea, and human activities. In this study, we present physical, chemical, and biological observations over two consecutive years from three study regions along the Norwegian coast that represent a broad latitudinal gradient in catchment and oceanographic conditions (∼59–69°N): outer Oslofjord/southern Norway, Runde/western Norway, and Malangen/northern Norway. The observations included river monitoring, coastal monitoring, and sensor-equipped ships of opportunity (“FerryBox”). The riverine discharge and transports were an order of magnitude higher, and the spatiotemporal…

0106 biological sciencesWater masschromophoric DOC (cDOM)010504 meteorology & atmospheric scienceslcsh:QH1-199.5Drainage basinOcean Engineeringdissolved organic carbon (DOC)Aquatic Sciencelcsh:General. Including nature conservation geographical distributionOceanography01 natural sciencesAlgal bloomriverine run-offcoastal systemsDissolved organic carbonEcosystem14. Life underwaterlcsh:ScienceVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 9200105 earth and related environmental sciencesWater Science and TechnologyGlobal and Planetary Changegeographygeography.geographical_feature_category010604 marine biology & hydrobiology15. Life on landSpring bloomColored dissolved organic matterOceanographycoastal darkening13. Climate actionEnvironmental scienceNorwegian Coastal Currentlcsh:QBloomFrontiers in Marine Science
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Revisiting the disappearance of terrestrial dissolved organic matter in the ocean: a <i>δ</i><sup>13&lt…

2014

Abstract. Organic carbon (OC) depleted in 13C is a widely used tracer for terrestrial organic matter (OM) in aquatic systems. Photochemical reactions can, however, change δ13C of dissolved organic carbon (DOC) when chromophoric, aromatic-rich terrestrial OC is selectively mineralized. We assessed the robustness of the δ13C signature of DOC (δ13CDOC) as a tracer for terrestrial OM by estimating its change during the photobleaching of chromophoric DOM (CDOM) from 10 large rivers. These rivers cumulatively account for approximately one-third of the world's freshwater discharge to the global ocean. Photobleaching of CDOM by simulated solar radiation was associated with the photochemical mineral…

Total organic carbonChemistryAquatic ecosystemMineralization (soil science)ParticulatesPhotobleachingColored dissolved organic matterOceanography13. Climate actionTRACEREnvironmental chemistryDissolved organic carbon14. Life underwaterEcology Evolution Behavior and SystematicsEarth-Surface ProcessesBiogeosciences
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Photochemical Mineralization of Terrigenous DOC to Dissolved Inorganic Carbon in Ocean

2018

0106 biological sciencesAtmospheric ScienceGlobal and Planetary Change010504 meteorology & atmospheric sciencesTerrigenous sediment010604 marine biology & hydrobiologyMineralization (soil science)01 natural sciencesNatural organic matterColored dissolved organic matterEnvironmental chemistryDissolved organic carbonEnvironmental ChemistryEnvironmental science0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal Biogeochemical Cycles
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Retrieval of Case 2 Water Quality Parameters with Machine Learning

2018

Water quality parameters are derived applying several machine learning regression methods on the Case2eXtreme dataset (C2X). The used data are based on Hydrolight in-water radiative transfer simulations at Sentinel-3 OLCI wavebands, and the application is done exclusively for absorbing waters with high concentrations of coloured dissolved organic matter (CDOM). The regression approaches are: regularized linear, random forest, Kernel ridge, Gaussian process and support vector regressors. The validation is made with and an independent simulation dataset. A comparison with the OLCI Neural Network Swarm (ONSS) is made as well. The best approached is applied to a sample scene and compared with t…

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciences0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesData modelingMachine Learning (cs.LG)Physics - Geophysicssymbols.namesakeRadiative transferGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsArtificial neural networkbusiness.industry6. Clean waterRandom forestGeophysics (physics.geo-ph)Support vector machineColored dissolved organic matterKernel (statistics)Physics - Data Analysis Statistics and ProbabilitysymbolsArtificial intelligencebusinesscomputerData Analysis Statistics and Probability (physics.data-an)
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Bleaching of color of kraft pulp mill effluents and natural organic matter in lakes

2002

In situ changes in the color of lake water and biologically treated kraft pulp mill effluents mixed in lake water were examined in three lakes. In 1.7 m3 enclosures, the color (400–700 g Pt·m–3) of the mixture of pulp mill effluent and lake water remained similar for 4 months in darkness, whereas exposure to solar radiation resulted in 17–42% bleaching of color. During the summer stratification of a humic lake, the color (160 g Pt·m–3) of hypolimnetic water remained similar to that found during spring turnover, but the color of epilimnion decreased 13%. The measured rates of photochemical bleaching of color by solar radiation could explain the decrease of epilimnetic color. Attenuation of …

chemistry.chemical_classificationbusiness.industryEcologyPaper millAquatic SciencePulp and paper industryNatural organic matterColored dissolved organic matterchemistryKraft processEpilimnionEnvironmental scienceMillOrganic matterbusinessEffluentEcology Evolution Behavior and SystematicsCanadian Journal of Fisheries and Aquatic Sciences
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An optical classification tool for global lake waters

2017

Shallow and deep lakes receive and recycle organic and inorganic substances from within the confines of these lakes, their watershed and beyond. Hence, a large range in absorption and scattering and extreme differences in optical variability can be found between and within global lakes. This poses a challenge for atmospheric correction and bio-optical algorithms applied to optical remote sensing for water quality monitoring applications. To optimize these applications for the wide variety of lake optical conditions, we adapted a spectral classification scheme based on the concept of optical water types. The optical water types were defined through a cluster analysis of in situ hyperspectral…

Watershed010504 meteorology & atmospheric sciences0211 other engineering and technologiesAtmospheric correctionHyperspectral imagingSediment02 engineering and technology01 natural sciences6. Clean water/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterColored dissolved organic matter13. Climate actionGeneral Earth and Planetary SciencesEnvironmental sciencemedia_common.cataloged_instancelakes; reflectance; classification; OWT; atmospheric correction; MERIS; OLCI; water quality14. Life underwaterWater qualitySDG 14 - Life Below WaterEuropean unionEutrophication021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonRemote sensing
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Biologically labile photoproducts from riverine non-labile dissolved organic carbon in the coastal waters

2015

In order to assess the production of biologically labile photoproducts (BLPs) from non-labile riverine dissolved organic carbon (DOC), we collected water samples from ten major rivers, removed labile DOC and mixed the residual non-labile DOC with artificial seawater for microbial and photochemical experiments. Bacteria grew on non-labile DOC with a growth efficiency of 11.5% (mean; range from 3.6 to 15.3%). Simulated solar radiation transformed a part of non-labile DOC into BLPs, which stimulated bacterial respiration and production, but did not change bacterial growth efficiency (BGE) compared to the non-irradiated dark controls. In the irradiated water samples, the amount of BLPs stimulat…

Annual productionbiologyChemistryFluxArtificial seawaterBacterial growthbiology.organism_classification6. Clean waterColored dissolved organic matter13. Climate actionEnvironmental chemistryRespirationDissolved organic carbon14. Life underwaterBacteria
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Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

2018

The colored dissolved organic matter (CDOM) variable is the standard measure of humic substance in waters optics. CDOM is optically characterized by its spectral absorption coefficient, a C D O M at at reference wavelength (e.g., ≈ 440 nm). Retrieval of CDOM is traditionally done using bio-optical models. As an alternative, this paper presents a comparison of five machine learning methods applied to Sentinel-2 and Sentinel-3 simulated reflectance ( R r s ) data for the retrieval of CDOM: regularized linear regression (RLR), random forest regression (RFR), kernel ridge regression (KRR), Gaussian process regression (GPR) and support vector machines (SVR). Two different datasets of radiative t…

Polynomial regression010504 meteorology & atmospheric sciencesArtificial neural networkbusiness.industry0211 other engineering and technologiesta117102 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesremote sensing; CDOM; optically complex waters; linear regression; machine learning; Sentinel 2; Sentinel 3RegressionRandom forestSupport vector machineColored dissolved organic matterKrigingLinear regressionGeneral Earth and Planetary SciencesArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote Sensing
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