Relating chlorophyll from cyanobacteria-dominated inland waters to a MERIS bloom index

Tomlinson, Michelle C.; Stumpf, Richard P.; Wynne, Timothy T.; Dupuy, Danielle; Burks, Robert T.; Hendrickson, John; Fulton, Rolland S.

doi:10.1080/2150704x.2015.1117155

Cited by 36 publications

(25 citation statements)

References 18 publications

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“…error 7.7 µg L −1 , range 16 to 115 µg L −1 ). The relationship was also verified for satellite‐derived CI, and gave a relative root‐mean square error of 27% [ Tomlinson et al ., ].

C h l = 12570 C I + 10

…”

Section: Methodsmentioning

confidence: 99%

Vertical distribution of buoyant Microcystis blooms in a Lagrangian particle tracking model for short‐term forecasts in Lake Erie

et al. 2016

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Cyanobacterial harmful algal blooms (CHABs) are a problem in western Lake Erie, and in eutrophic fresh waters worldwide. Western Lake Erie is a large (3000 km2), shallow (8 m mean depth), freshwater system. CHABs occur from July to October, when stratification is intermittent in response to wind and surface heating or cooling (polymictic). Existing forecast models give the present location and extent of CHABs from satellite imagery, then predict two‐dimensional (surface) CHAB movement in response to meteorology. In this study, we simulated vertical distribution of buoyant Microcystis colonies, and 3‐D advection, using a Lagrangian particle model forced by currents and turbulent diffusivity from the Finite Volume Community Ocean Model (FVCOM). We estimated the frequency distribution of Microcystis colony buoyant velocity from measured size distributions and buoyant velocities. We evaluated several random‐walk numerical schemes to efficiently minimize particle accumulation artifacts. We selected the Milstein scheme, with linear interpolation of the diffusivity profile in place of cubic splines, and varied the time step at each particle and step based on the curvature of the local diffusivity profile to ensure that the Visser time step criterion was satisfied. Inclusion of vertical mixing with buoyancy significantly improved model skill statistics compared to an advection‐only model, and showed greater skill than a persistence forecast through simulation day 6, in a series of 26 hindcast simulations from 2011. The simulations and in situ observations show the importance of subtle thermal structure, typical of a polymictic lake, along with buoyancy in determining vertical and horizontal distribution of Microcystis.

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“…error 7.7 µg L −1 , range 16 to 115 µg L −1 ). The relationship was also verified for satellite‐derived CI, and gave a relative root‐mean square error of 27% [ Tomlinson et al ., ].

C h l = 12570 C I + 10

…”

Section: Methodsmentioning

confidence: 99%

Vertical distribution of buoyant Microcystis blooms in a Lagrangian particle tracking model for short‐term forecasts in Lake Erie

et al. 2016

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“…The direct counting of harmful algal cells is arduous and time-consuming. Thus, the Chl-a or phycocyanin concentration is widely used as an indicator of the algal bloom concentrations [47,[68][69][70].…”

Section: Water Levelmentioning

confidence: 99%

Recent Advances in Information and Communications Technology (ICT) and Sensor Technology for Monitoring Water Quality

Park

Kim

Lee

2020

Water

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Water quality control and management in water resources are important for providing clean and safe water to the public. Due to their large area, collection, analysis, and management of a large amount of water quality data are essential. Water quality data are collected mainly by manual field sampling, and recently real-time sensor monitoring has been increasingly applied for efficient data collection. However, real-time sensor monitoring still relies on only a few parameters, such as water level, velocity, temperature, conductivity, dissolved oxygen (DO), and pH. Although advanced sensing technologies, such as hyperspectral images (HSI), have been used for the areal monitoring of algal bloom, other water quality sensors for organic compounds, phosphorus (P), and nitrogen (N) still need to be further developed and improved for field applications. The utilization of information and communications technology (ICT) with sensor technology shows great potential for the monitoring, transmission, and management of field water-quality data and thus for developing effective water quality management. This paper presents a review of the recent advances in ICT and field applicable sensor technology for monitoring water quality, mainly focusing on water resources, such as rivers and lakes, and discusses the challenges and future directions.

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“…The rational polynomial regression was a variant of a typical first-order rational polynomial, keeping coefficients positive and including an intercept, consistent with the approximate theoretical solution to the MCI-[Chl-a] relationship. Because many published algorithms are based on limited in situ datasets, the relationship between MCI and [Chl-a] and indeed many of the line-height algorithms are often fitted with linear functions over a specific [Chl-a] range [1,4,22], thus this analysis provides evidence of the form of the relationship over a wide range of conditions. Figure 6b.…”

Section: Global Performance Assessment Of [Chl-a] Retrievalsmentioning

confidence: 99%

“…Line-height algorithms are also considered to be less sensitive to the uncertainties in atmospheric correction [19], which can limit the usefulness of band ratios over highly turbid or eutrophic waters (particularly B/G where those uncertainties are often exacerbated). Indeed the application of line-height algorithms to uncorrected top-of-atmosphere (TOA) or partially atmospherically-corrected (using bottom of Rayleigh reflectance, BRR) image products has gained popularity in recent years [1,[20][21][22]. Under the assumption that the effect of mineral suspended particulate matter (MSPM) on these line-height algorithms is also minimal, they are frequently applied in coastal and inland water environments prone to high riverine sediment loads, resuspension events, and nearshore erosion.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Mineral Sediments on Satellite Chlorophyll-a Retrievals from Line-Height Algorithms Using Red and Near-Infrared Bands

Zeng

Binding

2019

Remote Sensing

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Red and near-infrared line-height algorithms such as the maximum chlorophyll index (MCI) are often considered optimal for remote sensing of chlorophyll-a (Chl-a) in turbid eutrophic waters, under the assumption of minimal influence from mineral sediments. This study investigated the impact of mineral turbidity on line-height algorithms using MCI as a primary example. Inherent optical properties from two turbid eutrophic lakes were used to simulate reflectance spectra. The simulated results: (1) confirmed a non-linear relationship between Chl-a and MCI; (2) suggested optimal use of the MCI at Chl-a < ~100 mg/m3 and saturation of the index at Chl-a ~300 mg/m3; (3) suggested significant variability in the MCI:Chl-a relationship due to mineral scattering, resulting in an RMSE in predicted Chl-a of ~23 mg/m3; and (4) revealed elevated Chl a retrievals and potential false positive algal bloom reports for sediment concentrations > 20 g/m3. A novel approach combining both MCI and its baseline slope, MCIslope reduced the RMSE to ~5 mg/m3. A quality flag based on MCIslope was proposed to mask erroneously high Chl-a retrievals and reduce the risk of false positive bloom reports in highly turbid waters. Observations suggest the approach may be valuable for all line-height-based Chl-a algorithms.

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Relating chlorophyll from cyanobacteria-dominated inland waters to a MERIS bloom index

Cited by 36 publications

References 18 publications

Vertical distribution of buoyant Microcystis blooms in a Lagrangian particle tracking model for short‐term forecasts in Lake Erie

Vertical distribution of buoyant Microcystis blooms in a Lagrangian particle tracking model for short‐term forecasts in Lake Erie

Recent Advances in Information and Communications Technology (ICT) and Sensor Technology for Monitoring Water Quality

The Effect of Mineral Sediments on Satellite Chlorophyll-a Retrievals from Line-Height Algorithms Using Red and Near-Infrared Bands

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