Copernicus Framework for Monitoring Lake Balaton Phytoplankton

Palmer, Stephanie C.; Zlinszky, András; Balzter, Heiko; Nicolas-Perea, V.; Tóth, Viktor R.

doi:10.1002/9781118793787.ch10

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…Large freshwater lakes play an important role in the earth's ecosystems, not only because they contain 68% of the global fresh water reservoir, but also because of their economic, social and biological importance as they provide habitats for wildlife, irrigation for agriculture, energy, transport and most importantly water for drinking [1]. The large areal extent of some of these lakes makes traditional water monitoring time and resource consuming, hence inefficient, yet continuous water quality monitoring of lakes is of great importance in detecting environmental changes [2]. Lake Balaton, which covers an area of 596 km 2 , is the largest lake in Central Europe and one the most important natural and tourist attractions in Hungary and Central Europe.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI

Blix

Pálffy

Tóth

et al. 2018

Water

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The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in February 2016. Level 2 (L2) products have been available for the public since July 2017. OLCI provides the possibility to monitor aquatic environments on 300 m spatial resolution on 9 spectral bands, which allows to retrieve detailed information about the water quality of various type of waters. It has only been a short time since L2 data became accessible, therefore validation of these products from different aquatic environments are required. In this work we study the possibility to use S3 OLCI L2 products to monitor an optically highly complex shallow lake. We test S3 OLCI-derived Chlorophyll-a (Chl-a), Colored Dissolved Organic Matter (CDOM) and Total Suspended Matter (TSM) for complex waters against in situ measurements over Lake Balaton in 2017. In addition, we tested the machine learning Gaussian process regression model, trained locally as a potential candidate to retrieve water quality parameters. We applied the automatic model selection algorithm to select the combination and number of spectral bands for the given water quality parameter to train the Gaussian Process Regression model. Lake Balaton represents different types of aquatic environments (eutrophic, mesotrophic and oligotrophic), hence being able to establish a model to monitor water quality by using S3 OLCI products might allow the generalization of the methodology.

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Section: Introductionmentioning

confidence: 99%

Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI

Blix

Pálffy

Tóth

et al. 2018

Water

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“…The only (artificial and temporary) outflow, the Sió Canal, drains the lake near its eastern end. As a result, the lake is characterized by W-E gradients in both chemistry and trophic state (from typically eutrophic at its western, and meso-or oligotrophic at its eastern end (Palmer et al, 2017)). The catchment area is dominated by Miocene to Quaternary sand, clay and loess deposits, and Mesozoic, predominantly Triassic limestone and dolostone north of the lake (Budai et al, 1999) (Figure 1A).…”

Section: Introductionmentioning

confidence: 99%

Pathways of carbonate sediment accumulation in a large, shallow lake

Rostási¹,

Rácz

Fodor

et al. 2022

Front. Earth Sci.

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Since carbonate formation is an important process linking inorganic and biological components of freshwater ecosystems, we characterized the formation of modern carbonate sediments in a large, shallow, calcareous lake (Lake Balaton in Hungary). We measured the amount of allochtonous mineral particles delivered to the lake by tributaries and through the atmosphere over a 2-year period, and estimated the mass of carbonate minerals that precipitated from lakewater. Chemical and structural features of mineral particles from various sources were also studied. Both the mineralogical character and the amount of particles delivered by streams and through the atmosphere were similar, and formed a minor fraction of the annual sediment increment (∼5%–6% by mass). Since the watercourses feeding the lake had high concentrations of Ca2+, Mg2+, and HCO3− (with a Mg/Ca mol ratio ranging from 1 to 4), Mg-bearing calcite (with 2–17 mol% MgCO3) was found to continually precipitate in the lake. According to X-ray powder diffraction measurements, the Mg content of calcite increased from West to East, in parallel with changes in water chemistry. Dolomite was detected as a minor phase, and in the eastern part of the lake it typically produced a split 104 peak in X-ray diffractograms, suggesting two distinct sources: stoichiometric dolomite was allochtonous, whereas a Ca-rich protodolomite fraction formed in the lake. Mg-bearing calcite precipitating in the lake was found by far the largest contributor to sediment formation, with an estimated annual accumulation of about 0.75–0.9 mm consolidated sediment; thus, ∼89% of the currently forming sediment consists of autochtonous carbonate. In addition to providing new estimates for the rates of accumulation of distinct sediment fractions, our results also provide a baseline for further studies on the retention and release of nutrients by sediment minerals.

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Copernicus Framework for Monitoring Lake Balaton Phytoplankton

Cited by 2 publications

References 42 publications

Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI

Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI

Pathways of carbonate sediment accumulation in a large, shallow lake

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