Modelling Upwelling Irradiance using Secchi disk depth in lake ecosystems

Bracchini, Luca; Dattilo, Arduino Massimo; Hull, Vincent; Loiselle, Steven; Tognazzi, Antonio; Rossi, Claudio

doi:10.4081/jlimnol.2009.83

Cited by 13 publications

(7 citation statements)

References 22 publications

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“…The empirical coefficient between K d (PAR) and the inverse SDD in Eq. (1) in this study is comparable to the values found by other investigators, despite different environments and measurement conditions (Poole & Atkins, 1929;Tilzer, 1988;Liu, 2005;Padial & Thomaz, 2008;Bracchini et al, 2009).…”

Section: Discussionsupporting

confidence: 94%

“…where K d (PAR) and the SDD are the PAR diffuse attenuation coefficients and the Secchi disk depth respectively, and a is an empirical coefficient with a value between 0.93 and 2.70 (Poole & Atkins, 1929;Tilzer, 1988;Koenings & Edmundson, 1991;Liu, 2005;Padial & Thomaz, 2008;Bracchini et al, 2009). Considering the large variation in the a coefficient, the euphotic depth can range from 1.70 times SDD to 4.95 times SDD.…”

Section: Introductionmentioning

confidence: 98%

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Predicting the light attenuation coefficient through Secchi disk depth and beam attenuation coefficient in a large, shallow, freshwater lake

et al. 2012

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The diffuse attenuation coefficient of photosynthetically active radiation (PAR) (400-700 nm) (K d (PAR)) is one of the most important optical properties of water. Our purpose was to create K d (PAR) prediction models from the Secchi disk depth (SDD) and beam attenuation coefficient of particulate and dissolved organic matter (C t-w (PAR), excluding pure water) in the PAR range. We compare their performance and prediction precision by using the determination coefficient (r 2 ), relative root mean square error (RRMSE), and mean relative error (MRE). Our dataset comprised 1,067 measurements, including K d (PAR), SDD, and C t-w (PAR) taken in shallow, eutrophic, Lake Taihu, China, from 2005 to 2010. The prediction models of K d (PAR) were based on the linear model with an intercept of zero, using the inverse SDD, and the nonlinear model using SDD. The linear model generated a slope of 1.369, which was not significantly different from 1.7, the index used worldwide, but significantly lower than the value of 2.26. The nonlinear model gave a slightly more reliable prediction of K d (PAR) with a r 2 of 0.804. Compared to the SDD, C t-w (PAR) was more significantly correlated to K d (PAR) based on the linear model, with a significantly higher r 2 and lower RMSE and RE. Considering the measurement simplicity of C t-w (PAR) and data acquisition feasibility from high-frequency autonomous buoys and satellites, our results demonstrated that this prediction model reliably estimates K d (PAR), and could be used to significantly expand optical observations in an environment where the conditions for underwater PAR measurement are limited.

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Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 98%

Predicting the light attenuation coefficient through Secchi disk depth and beam attenuation coefficient in a large, shallow, freshwater lake

et al. 2012

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“…4). On the whole, these findings correspond to those verified by several authors who clarified the ability of aquatic macrophytes to control WT levels (Kufel, and Kufel 2002;van Donk, and van de Bund 2002;Bracchini et al 2009); furthermore Scheffer (1998) suggested the existence of a direct feedback system modeling the relations between turbidity and submerged vegetation. Therefore, the progressive loss of dense macrophyte stands is coupled with an increase in WLF, which, in turn, is strongly influenced by the steady decrease in the minimum water level (see Figs 2 and 4).…”

Section: Discussionsupporting

confidence: 70%

Retrospective assessment of macrophytic communities in southern Lake Garda (Italy) from in situ and MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) data

et al. 2012

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“…K d expresses how light attenuates against depth. The relationship between K d and SDD has been proven by previous studies [16,43,44].…”

Section: Background For Existing K D Algorithmsmentioning

confidence: 86%

MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf

Kaabi¹,

Zhao²,

Ghedira³

2016

Remote Sensing

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Abstract:Regionally calibrated algorithms for water quality are strongly needed, especially for optically complex waters such as coastal areas in the Arabian Gulf. In this study, a regional qualitative algorithm was proposed to retrieve seawater transparency, with Secchi disk depth (SDD) as a surrogate, in the Arabian Gulf. A two-step process was carried out, first estimating the diffuse attenuation coefficient of downwelling irradiance at 490 nm (K d _490) from MODIS/Aqua imagery and then SDD based on empirical correlations with K d _490. Three satellite derived K d products were tested and assessed against a set of in situ measurements, and one from a semi-analytical algorithm based on inherent optical properties gave the best performance with a R 2 of 0.62. Comparisons between the performances of SDD models developed in this study and those established in other regions indicated higher accuracy of our proposed model for the Gulf region. The potential factors causing uncertainties of the proposed algorithm were also discussed. Seasonal and inter-annual variations of SDD over the entire Gulf were demonstrated using a 14-year time series of MODIS/Aqua data from 2002 to 2015. High SDD values were generally observed in summer while low values were found in winter. Inter-annual variations of SDD did not shown any significant trend with exceptions during algal bloom outbreaks that resulted in low SDD.

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Modelling Upwelling Irradiance using Secchi disk depth in lake ecosystems

Cited by 13 publications

References 22 publications

Predicting the light attenuation coefficient through Secchi disk depth and beam attenuation coefficient in a large, shallow, freshwater lake

Predicting the light attenuation coefficient through Secchi disk depth and beam attenuation coefficient in a large, shallow, freshwater lake

Retrospective assessment of macrophytic communities in southern Lake Garda (Italy) from in situ and MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) data

MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf

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