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Multivariate Analyses of Water Quality Dynamics Over Four Decades in the Barataria Basin, Mississippi Delta
Open AccessArticle

Assessing Chlorophyll a Spatiotemporal Patterns Combining In Situ Continuous Fluorometry Measurements and Landsat 8/OLI Data across the Barataria Basin (Louisiana, USA)

1
Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA 70803, USA
2
Jean Lafitte National Historical Park and Preserve, National Park Service, 419 Decatur St New Orleans, LA 70130, USA
3
Everglades Research Division, South Florida Water Management District, 8894 Belvedere Road, West Palm Beach, FL 33411, USA
4
Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Unidad La Paz, La Paz, Baja California Sur 23050, Mexico
*
Authors to whom correspondence should be addressed.
Academic Editor: Giuseppe Castaldelli
Water 2021, 13(4), 512; https://doi.org/10.3390/w13040512
Received: 29 December 2020 / Revised: 9 February 2021 / Accepted: 10 February 2021 / Published: 16 February 2021
The acquisition of reliable and accurate data to assess environmental changes over large spatial scales is one of the main limitations to determine the impact of eutrophication, and the effectiveness of management strategies in coastal systems. Here, we used a continuous in situ Chl-a fluorometry sensor and L8/OLI satellite data to develop an algorithm and map Chl-a spatial distribution to assess the impact of freshwater diversions and associated high nutrient loading rates in the Barataria Basin (BB) complex, a coastal system in the northern Gulf of Mexico. We collected water quality samples at 24 sampling stations and high-frequency continuous fluorometry in situ [Chl-a] data along a ~87 km transect from 2019–2020. Field [Chl-a] values were highly correlated (r = 0.86; p < 0.0001) with continuous in situ [Chl-a] fluorometry values. These continuous in situ [Chl-a] values were significantly related to a surface reflectance ratio ([B1 + B4]/B3) estimated using L8/OLI data (exponential model; R2 = 0.46; RMSE = 4.8, p < 0.0001). The statistical model replicated [Chl-a] spatial patterns across the BB complex. This work shows the utility of high-frequency continuous Chl-a fluorometry sampling coupled with L8/OLI image analysis to increase the frequency and number of field data sets to assess water quality conditions at large spatial scales in highly dynamic deltaic regions. View Full-Text
Keywords: Chlorophyll a; fluorometry; Barataria Bay; Mississippi River; algae blooms; eutrophication; Mississippi delta Chlorophyll a; fluorometry; Barataria Bay; Mississippi River; algae blooms; eutrophication; Mississippi delta
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MDPI and ACS Style

Vargas-Lopez, I.A.; Rivera-Monroy, V.H.; Day, J.W.; Whitbeck, J.; Maiti, K.; Madden, C.J.; Trasviña-Castro, A. Assessing Chlorophyll a Spatiotemporal Patterns Combining In Situ Continuous Fluorometry Measurements and Landsat 8/OLI Data across the Barataria Basin (Louisiana, USA). Water 2021, 13, 512. https://doi.org/10.3390/w13040512

AMA Style

Vargas-Lopez IA, Rivera-Monroy VH, Day JW, Whitbeck J, Maiti K, Madden CJ, Trasviña-Castro A. Assessing Chlorophyll a Spatiotemporal Patterns Combining In Situ Continuous Fluorometry Measurements and Landsat 8/OLI Data across the Barataria Basin (Louisiana, USA). Water. 2021; 13(4):512. https://doi.org/10.3390/w13040512

Chicago/Turabian Style

Vargas-Lopez, Ivan A.; Rivera-Monroy, Victor H.; Day, John W.; Whitbeck, Julie; Maiti, Kanchan; Madden, Christopher J.; Trasviña-Castro, Armando. 2021. "Assessing Chlorophyll a Spatiotemporal Patterns Combining In Situ Continuous Fluorometry Measurements and Landsat 8/OLI Data across the Barataria Basin (Louisiana, USA)" Water 13, no. 4: 512. https://doi.org/10.3390/w13040512

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