Dissolved organic carbon and its potential predictors in eutrophic lakes

Toming, Kaire; Kutser, Tiit; Tuvikene, Lea; Viik, Malle; Nõges, Tiina

doi:10.1016/j.watres.2016.06.012

Cited by 33 publications

(19 citation statements)

References 42 publications

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“…Surprisingly, the correlation with DOC was even higher (R 2 = 0.92) than with CDOM. If in many lakes the correlation between DOC and its colored component is very strong [38,45,46] then in Estonian lakes the relationship is varying seasonally [47,48]. Moreover, it has been shown [49] that iron bound to carbon molecules absorbs light in a similar way like CDOM and variable carbon to iron ratio makes remote sensing mapping of lake DOC more complicated.…”

Section: Discussionmentioning

confidence: 99%

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

et al. 2016

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Abstract:The importance of lakes and reservoirs leads to the high need for monitoring lake water quality both at local and global scales. The aim of the study was to test suitability of Sentinel-2 Multispectral Imager's (MSI) data for mapping different lake water quality parameters. In situ data of chlorophyll a (Chl a), water color, colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) from nine small and two large lakes were compared with band ratio algorithms derived from Sentinel-2 Level-1C and atmospherically corrected (Sen2cor) Level-2A images. The height of the 705 nm peak was used for estimating Chl a. The suitability of the commonly used green to red band ratio was tested for estimating the CDOM, DOC and water color. Concurrent reflectance measurements were not available. Therefore, we were not able to validate the performance of Sen2cor atmospheric correction available in the Sentinel-2 Toolbox. The shape and magnitude of water reflectance were consistent with our field measurements from previous years. However, the atmospheric correction reduced the correlation between the band ratio algorithms and water quality parameters indicating the need in better atmospheric correction. We were able to show that there is good correlation between band ratio algorithms calculated from Sentinel-2 MSI data and lake water parameters like Chl a (R 2 = 0.83), CDOM (R 2 = 0.72) and DOC (R 2 = 0.92) concentrations as well as water color (R 2 = 0.52). The in situ dataset was limited in number, but covered a reasonably wide range of optical water properties. These preliminary results allow us to assume that Sentinel-2 will be a valuable tool for lake monitoring and research, especially taking into account that the data will be available routinely for many years, the imagery will be frequent, and free of charge.

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Section: Discussionmentioning

confidence: 99%

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

et al. 2016

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“…Consequently, a positive correlation between a ph (675) and DOC demonstrated a strong relationship between Chl‐a and DOC ( r =0.46) in the AP. Previous studies focused on case II waters confirmed that strong relationships existed between Chl‐a and DOC when the DOC source originated from phytoplankton degradation (Zhang, van Dijk, Liu, Zhu, & Qin, ; Toming, Kutser, Tuvikene, Viik, & Nõges, ; Danhiez, Vantrepotte, Cauvin, Lebourg, & Loisel, ). However, situation differs in turbid rivers.…”

Section: Results and Analysismentioning

confidence: 83%

“…However, situation differs in turbid rivers. Large amounts of precipitation and discharge bring large amounts of vascular plants and soil organic matter from the catchment area into the rivers and increase both the DOC concentration and Tur in the AP (Toming et al, ). The terrigenous plants would remain in the filtering membranes during laboratory measurements, which would increase the Chl‐a concentration and phytoplankton absorption.…”

Section: Results and Analysismentioning

confidence: 99%

“…Many water quality parameters (DOC, Chl‐a, TSM, etc.) have been proposed to affect the temporal and spatial variations in CDOM, and some correlations among those parameters have been established (Spencer et al, ; Toming et al, ; Zhang et al, ). Correlations between a CDOM (440) and some water quality parameters were established in both the AP and NP in this study (Table ).…”

Section: Results and Analysismentioning

confidence: 99%

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Seasonal dynamics of light absorption by suspended particulate matter and CDOM in highly turbid inland rivers on the Loess Plateau, China

Shao

Wang

Liang

et al. 2019

River Research & Apps

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The spectral characteristics of optically active constituents in water are key parameters in bio-optical modelling. Light absorption by phytoplankton [a ph (λ)], nonalgal particles (NAPs) [a NAP (λ)], and chromophoric dissolved organic matter (CDOM)[a CDOM (λ)] was investigated at 28 sites in the Wuding River (WDR) during the abundant river flow period (AP) in July 2017 and the normal river flow period (NP) in May 2018. The water quality parameters in the WDR substantially differed between the AP and NP. The dissolved organic carbon and turbidity were high in the NP, and chlorophyll a (Chl-a), total suspended matter (TSM), dissolved oxygen concentrations and electrical conductivity were low in the AP. a p (675) and Chl-a were more strongly correlated in the NP (r=0.96) than in the AP (r=0.41). a NAP (440) and a NAP (675) were strongly correlated with TSM (r=0.98 and 0.97) in the AP but weakly correlated in the NP. Moreover, a ph (λ) was positively correlated with Chl-a in both the AP and NP. In addition, a CDOM (440) was significantly correlated with Chl-a (r=0.62, p<.001) in the NP but not the AP. TSM was weakly correlated with a CDOM (440) in both the AP and NP. The S 275-295 values in the NP (0.0147-0.020 nm -1 ) were lower than those in the AP, demonstrating that the molecular weights were higher in the AP than in the NP. The photosynthetically active radiation absorption of most samples was dominated by the NAPs and CDOM, implying a crucial role in light attenuation in highly turbid inland rivers on the Loess Plateau.

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“…The CDOM absorption coefficient is a very reliable predictor of the dissolved organic carbon concentration in fresh and estuarine waters (Brezonik et al, 2015;Kutser et al, 2015;Toming et al, 2016), and therefore this optical parameter could be easily applied to various aspects of organic carbon biogeochemistry. Ocean color remote sensing offers new operational satellite missions based on medium ground resolution (of the order of 250 m) sensors, like the European Earth Observation Copernicus program Sentinel-3 Ocean and Land Colour Instrument (OLCI) mission, and the US Joint Polar Satellite System program Visible Infrared Imaging Radiometer Suite (VIIRS) sensors.…”

Section: Introductionmentioning

confidence: 99%

Parameterization of the light absorption properties of chromophoric dissolved organic matter in the Baltic Sea and Pomeranian lakes

et al. 2016

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Abstract. This study presents three alternative models for estimating the absorption properties of chromophoric dissolved organic matter a CDOM (λ). For this analysis we used a database containing 556 absorption spectra measured in 2006-2009 in different regions of the Baltic Sea (open and coastal waters, the Gulf of Gdańsk and the Pomeranian Bay), at river mouths, in the Szczecin Lagoon and also in three lakes in Pomerania (Poland) -Obłęskie, Łebsko and Chotkowskie. The variability range of the chromophoric dissolved organic matter (CDOM) absorption coefficient at 400 nm, a CDOM (400), lay within 0.15-8.85 m −1 . The variability in a CDOM (λ) was parameterized with respect to the variability over 3 orders of magnitude in the chlorophyll a concentration Chl a (0.7-119 mg m −3 ). The chlorophyll a concentration and a CDOM (400) were correlated, and a statistically significant, nonlinear empirical relationship between these parameters was derived (R 2 = 0.83). On the basis of the covariance between these parameters, we derived two empirical mathematical models that enabled us to design the CDOM absorption coefficient dynamics in natural waters and reconstruct the complete CDOM absorption spectrum in the UV and visible spectral domains. The input variable in the first model was the chlorophyll a concentration, and in the second one it was a CDOM (400). Both models were fitted to a power function, and a second-order polynomial function was used as the exponent. Regression coefficients for these formulas were determined for wavelengths from 240 to 700 nm at 5 nm intervals. Both approximations reflected the real shape of the absorption spectra with a low level of uncertainty. Comparison of these approximations with other models of light absorption by CDOM demonstrated that our parameterizations were superior (bias from −1.45 to 62 %, RSME from 22 to 220 %) for estimating CDOM absorption in the optically complex waters of the Baltic Sea and Pomeranian lakes.

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Dissolved organic carbon and its potential predictors in eutrophic lakes

Cited by 33 publications

References 42 publications

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

Seasonal dynamics of light absorption by suspended particulate matter and CDOM in highly turbid inland rivers on the Loess Plateau, China

Parameterization of the light absorption properties of chromophoric dissolved organic matter in the Baltic Sea and Pomeranian lakes

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