Search results for "Chlorophyll"

showing 10 items of 453 documents

Automated water quality monitoring of humic lakes by using the optical properties of water

2016

Automated water quality monitoring (AWQM) is becoming increasingly common in lakes worldwide. The history of AWQM is relatively short and standard calibration procedures for the measured variables are largely yet to be established. The use of optical AWQM sensors, developed in oceanic environments, raises new questions on the diverse effects which humic compounds may have on the automated optical measurements in inlands waters. The focus of this thesis was to characterize the effects of coloured dissolved organic matter (CDOM) on optical in situ measurements of organic matter (OM) and chlorophyll (Chl) in lakes with varying humic content, and to use AWQM data as a part of traditional monito…

klorofyllimittauschlorophyll afluoresenssitemperaturemonitorointihumusvedenlaatuoptiset ominaisuudetjärvetepisodic eventshumusjärvetcoloured dissolved organic matterautomaatiohappimittauslaitteetdissolved oxygenlämpötilafluorescenceorgaaninen ainesautomated monitoringJyväsjärvi
researchProduct

CHOOSING OF OPTIMAL REFERENCE SAMPLES FOR BOREAL LAKE CHLOROPHYLL A CONCENTRATION MODELING USING AERIAL HYPERSPECTRAL DATA

2018

Abstract. Optical remote sensing has potential to overcome the limitations of point estimations of lake water quality by providing spatial and temporal information. In open ocean waters the optical properties are dominated by phytoplankton density, while the relationship between color and the constituents is more complicated in inland waters varying regionally and seasonally. Concerning the difficulties relating to comprehensive modeling of complex inland and coastal waters, the alternative approach is considered in this paper: the raw digital numbers (DN) recorded using aerial remote hyperspectral sensing are used without corrections and derived by means of regression modeling to predict C…

lcsh:Applied optics. Photonics010504 meteorology & atmospheric scienceshyperspectral imagingwater quality monitoringchlorophyll a0211 other engineering and technologies02 engineering and technologylcsh:Technology01 natural sciencesStandard deviationPhytoplanktonPredictabilityCluster analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinglcsh:Tlcsh:TA1501-1820Hyperspectral imagingSampling (statistics)Statistical modelRegression analysislake water coloraerial remote sensinglcsh:TA1-2040Environmental sciencelcsh:Engineering (General). Civil engineering (General)The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
researchProduct

Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.

2021

Nitrogen (N) is one of the key nutrients supplied in agricultural production worldwide. Over-fertilization can have negative influences on the field and the regional level (e.g., agro-ecosystems). Remote sensing of the plant N of field crops presents a valuable tool for the monitoring of N flows in agro-ecosystems. Available data for validation of satellite-based remote sensing of N is scarce. Therefore, in this study, field spectrometer measurements were used to simulate data of the Sentinel-2 (S2) satellites developed for vegetation monitoring by the ESA. The prediction performance of normalized ratio indices (NRIs), random forest regression (RFR) and Gaussian processes regression (GPR) f…

leaf area indexARTMO toolboxSciencenitrogen; chlorophyll; leaf area index; agro-ecosystem monitoring; spectral indices; random forest; gaussian processes regression; ARTMO toolboxQspectral indiceschlorophyllgaussian processes regressionagro-ecosystem monitoringnitrogenrandom forestRemote sensing
researchProduct

The “Seili-index” For The Prediction of Chlorophyll-α Levels In The Archipelago Sea of The Northern Baltic Sea, Southwest Finland

2021

AbstractTo build a forecasting tool for the state of eutrophication in the Archipelago Sea, we fitted a Generalized Additive Mixed Model (GAMM) to marine environmental monitoring data, which were collected over the years 2011–2019 by an automated profiling buoy at the Seili ODAS-station. The resulting “Seili-index” can be used to predict the chlorophyll-α (chl-a) concentration in the seawater a number of days ahead by using the temperature forecast as a covariate. An array of test predictions with two separate models on the 2019 data set showed that the index is adept at predicting the amount of chl-a especially in the upper water layer. The visualization with 10 days of chl-a level predict…

mallintaminenklorofylliIndex (economics)ympäristövaikutuksetcyanobacteriachemistry.chemical_compoundwindchlorophyllsyanobakteeritGeneral Environmental Sciencevesistötgeographygeography.geographical_feature_categoryrehevöityminentemperatureGeneralized Additive Mixed Model (GAMM)ennusteetprofling buoymerivesiOceanographyBaltic seachemistryympäristövaikutuksetSaaristomeriChlorophyllArchipelagoennustettavuuslämpötilamallit (mallintaminen)meret
researchProduct

A stochastic reaction-diffusion-taxis model for picophytoplankton dynamics

2011

The dynamics of picophytoplankton communities in marine environment is studied by astochastic reaction-dìffusìon-taxis model, analyzing the time evolution of the biomass concentration along a water column. The model is based on two stochastic differentìal equations, where the random fluctuations of the environmental variables are considered by inserting two multiplicative noise terms. Specifically, the model describes the dynamics of diffusion of picophytoplankton biomass and nutrient concentrations. In the proposed model the marine environment is characterized by poorly mixed waters and picophytoplankton is subject to intraspecific competition for light and nutrients. By numerically solvin…

marine ecosystemSpatial ecologyrandom processeSpatial ecology; marine ecosystems; phytoplankton dynamics; deep chlorophyll maximum; random processes; stochastic differential equationsdeep chlorophyll maximumphytoplankton dynamicstochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

A stochastic reaction-diffusion-taxis model for two picophytoplankton populations

2012

In this work, the stationary distributions of two populations of picophytoplankton, i.e. picoeukaryotes and Prochlorococcus, are studied. This two groups account on average for 60% of the total chlorophyll a (chl a) and divinil chlorophyll a (divinil chl a) concentration in Mediterranean Sea. The interaction of these populations with the environment occurs through two factors that limit the growth of the aquatic microorganisms: light intensity and nutrient, i.e. phosphorus. The dynamics of the two picophytoplanktonic groups, distributed at different depth along a water column (one-dimensional spatial domain), is analyzed starting from a deterministic reaction-diffusion-taxis model. This con…

marine ecosystemspatial ecologyspatial ecology; marine ecosystems; phytoplankton dynamics; deep chlorophyll maximum; random processes; stochastic differential equationsrandom processedeep chlorophyll maximumphytoplankton dynamicstochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

Determination of pigments in vegetables

2004

Plant pigments are responsible for the shining color of plant tissues. They are also found in animal tissues and, eventually in transformed food products as additives. These pigments have an important impact on the commercial value of products, because the colors establish the first contact with the consumer. In addition plant pigments may have an influence on the health of the consumers. Pigments are labile: they can be easily altered, and even destroyed. Analytical processes have been developed to determine pigment composition. The aim of this paper is to provide a brief overview of these methods.

medicine.medical_treatmentBiochemistryAnalytical Chemistrychemistry.chemical_compoundBetalainVegetablesmedicineFood scienceCarotenoidLegumeAnthocyanidinchemistry.chemical_classificationBiological pigmentChromatographySpectrum AnalysisfungiOrganic ChemistryCarotenefood and beveragesPigments BiologicalGeneral MedicinechemistryBiochemistryXanthophyllChlorophyllsense organsChromatography LiquidJournal of Chromatography A
researchProduct

Negligible effect of hypolimnetic oxygenation on the trophic state of Lake Jyväsjärvi, Finland

2016

Hypolimnetic oxygenation by pumping oxygen-rich surface water to the hypolimnion (HLO) is a commonly used tool for the restoration of nutrient-loaded dimictic lakes. However, in recent years its effectiveness has been questioned. In this case study we evaluated monitoring data covering a period of 23-years to show that, although experimental cessation of HLO drastically changed the lake's temperature and dissolved oxygen regimes, it did not significantly affect its trophic status. Thus, we recommend that the limited financial resources available are better directed towards further lowering the lake's external phosphorus load than continuing HLO. peerReviewed

nutrientsChlorophyll adissolved oxygenyear-round oxygenationautomated monitoring
researchProduct

KOSMOS 2017 Peru Side Experiment: nutrients, phytoplankton abundances, enzyme rates, photophysiology

2022

This data was collected during an short-term incubation experiment in March 2017 that investigated the response of a surface plankton community to upwelling. This experiment was carried in the framework of the SFB754-funded KOSMOS mesocosm study that took place in La Punta, Callao, Peru between February-April 2017. A total of six different treatments were used to disentangle chemical and biological characteristics of deep water that influence surface plankton blooms: 2 different deep water sources with different nutrient concentrations; 3 treatments to distinguish the effects of inorganic nutrients, organic nutrients and deep water microbial populations. Measured variables include inorganic…

ratioDay of experimentSFB754colored dissolved organic matter at 325 nmNitriteChlorophyll aAbsorption coefficient colored dissolved organic matter at 254 nmClimate - Biogeochemistry Interactions in the Tropical Ocean (SFB754)colorimetric determinationFluorometerFluorometricNitrateNanoplanktonPhytoplankton cells phycocyanin-containing (FL-4)PicoeukaryotesFluorometer fast repetition rateCalculatedFlow cytometryNutrient consumption ratioforward scatterSynechococcusupwelling systemsMesocosm experimentSpectrophotometricClimate Biogeochemistry Interactions in the Tropical Ocean SFB754SilicateBiogeochemistryBiospheric SciencesMaximum photochemical quantum yield of photosystem IIenzyme activitycell sizeDissolved inorganic nitrogen/dissolved inorganic phosphorus ratioKOSMOS_2017chainsAbsorption coefficient colored dissolved organic matter 250 nm/365 nm ratioeastern tropical South Pacific OceanKOSMOSExcess phosphateAbsorption coefficient colored dissolved organic matter at 325 nmNatural SciencesGeosciencescolored dissolved organic matter at 254 nmphycocyanin containing FL 4Absorption coefficientPhosphateTank numberPhytoplankton cells chainsNetwork of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the ArctReplicatenutrientsfast repetition rateDATE TIMECryptophytesMicrophytoplanktonPhytoplankton cellsLeucine aminopeptidase activityDissolved inorganic nitrogen dissolved inorganic phosphorus ratiofungiEnzymatic assayContinuous flow analyserTreatmentDATE/TIMEcolored dissolved organic matter 250 nm 365 nmPhytoplanktonPhytoplankton cell size forward scatterNetwork of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean (AQUACOSM)CDOMContinuous flow analyser colorimetric determinationNitrate and Nitrite
researchProduct

Assessment of Sentinel-2-MSI Atmospheric Correction Processors and In Situ Spectrometry Waters Quality Algorithms

2022

The validation of algorithms developed from in situ reflectance to estimate water quality variables has the challenge of atmospheric correction (AC) when applied to satellite images. Estimating water quality variables from satellite images requires an accurate estimation of remote sensing reflectances (Rrs) which vary according to the AC applied. Validation processes for both Rrs and water quality algorithms were carried out, relating the in situ Rrs (convoluted to Sentinel-2-MSI spectral response function) with the satellite Rrs coming from different ACs (C2RCC, C2X, C2XC, and Polymer), and also relating the in situ water quality variable data with estimated water quality variable values, …

remote sensing; C2RCC; C2X; C2XC; Polymer; Secchi disk depth; total suspended solids; CDOM; chlorophyll a; phycocyaninGeneral Earth and Planetary SciencesRemote Sensing
researchProduct