Quantitative prediction of toxin-producing Aphanizomenon cyanobacteria in freshwaters using Sentinel-2 satellite imagery

Author:

Gunawardana Menik Hitihami M. A. S. V.1ORCID,Sanjaya Kelum2ORCID,Atapaththu Keerthi S. S.2ORCID,Yapa Mudiyanselage Ajith L. W. Y.3,Masakorala Kanaji1ORCID,Widana Gamage Shirani M. K.1ORCID

Affiliation:

1. a Department of Botany, Faculty of Science, University of Ruhuna, Matara, Sri Lanka

2. b Department of Limnology and Water Technology, Faculty of Fisheries and Marine Sciences & Technology, University of Ruhuna, Matara, Sri Lanka

3. c Department of Chemistry, Faculty of Science, University of Ruhuna, Matara, Sri Lanka

Abstract

Abstract This study aimed to develop an empirical model to predict the spatial distribution of Aphanizomenon using the Ridiyagama reservoir in Sri Lanka with a dual-model strategy. In December 2020, a bloom was detected with a high density of Aphanizomenon and chlorophyll-a concentration. We generated a set of algorithms using in situ chlorophyll-a data with surface reflectance of Sentinel-2 bands on the same day using linear regression analysis. The in situ chlorophyll-a concentration was better regressed to the reflectance ratio of (1 + R665)/(1–R705) derived from B4 and B5 bands of Sentinel-2 with high reliability (R2 = 0.81, p < 0.001). The second regression model was developed to predict Aphanizomenon cell density using chlorophyll-a as the proxy and the relationship was strong and significant (R2 = 0.75, p<0.001). Coupling the former regression models, an empirical model was derived to predict Aphanizomenon cell density in the same reservoir with high reliability (R2 = 0.71, p<0.001). Furthermore, the predicted and observed spatial distribution of Aphanizomenon was fairly agreed. Our results highlight that the present empirical model has a high capability for an accurate prediction of Aphanizomenon cell density and their spatial distribution in freshwaters, which helps in the management of toxic algal blooms and associated health impacts.

Funder

This research was supported by the Accelerating Higher Education Expansion and Development (AHEAD) Operation of the Ministry of Higher Education Sri Lanka funded by the World Bank

Publisher

IWA Publishing

Subject

Infectious Diseases,Microbiology (medical),Public Health, Environmental and Occupational Health,Waste Management and Disposal,Water Science and Technology

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