[HTML][HTML] Individual-based modelling of cyanobacteria blooms: Physical and physiological processes

MH Ranjbar, DP Hamilton, A Etemad-Shahidi… - Science of the total …, 2021 - Elsevier
Lakes and reservoirs throughout the world are increasingly adversely affected by
cyanobacterial harmful algal blooms (CyanoHABs). The development and spatiotemporal …

Automation of on-site microbial water quality monitoring from source to tap: challenges and perspectives

JB Burnet, K Demeter, S Dorner, AH Farnleitner… - Water Research, 2025 - Elsevier
Ensuring the provision of safe drinking water necessitates thorough monitoring of microbial
water quality. While traditional culture-based enumeration of bacterial indicators has served …

Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

A Mozo, J Morón-López, S Vakaruk… - Scientific Reports, 2022 - nature.com
Harmful algal blooms (HABs) are a growing concern to public health and aquatic
ecosystems. Long-term water monitoring conducted by hand poses several limitations to the …

In situ water quality monitoring using an optical multiparameter sensor probe

T Goblirsch, T Mayer, S Penzel, M Rudolph, H Borsdorf - Sensors, 2023 - mdpi.com
Optical methods such as ultraviolet/visible (UV/Vis) and fluorescence spectroscopy are well-
established analytical techniques for in situ water quality monitoring. A broad range of bio …

Long-range dependence and extreme values of precipitation, phosphorus load, and Cyanobacteria

SR Carpenter, MR Gahler… - Proceedings of the …, 2022 - National Acad Sciences
Extreme daily values of precipitation (1939–2021), discharge (1991–2021), phosphorus (P)
load (1994–2021), and phycocyanin, a pigment of Cyanobacteria (June 1–September 15 of …

Chlorophyll and phycocyanin in-situ fluorescence in mixed cyanobacterial species assemblages: Effects of morphology, cell size and growth phase

BZ Rousso, E Bertone, R Stewart, A Aguiar, A Chuang… - Water Research, 2022 - Elsevier
Cyanobacteria harmful blooms can represent a major risk for public health due to potential
release of toxins and other noxious compounds in the water. A continuous and high …

[HTML][HTML] Autonomous data sampling for high-resolution spatiotemporal fish biomass estimates

AA Carlsen, M Casini, F Masnadi, O Olsson… - Ecological …, 2024 - Elsevier
Many key ecological dynamics such as biomass distributions are only detectable on a fine
spatiotemporal scale. Autonomous data collection with Unmanned Surface Vehicles (USV) …

Near‐term phytoplankton forecasts reveal the effects of model time step and forecast horizon on predictability

WM Woelmer, RQ Thomas, ME Lofton… - Ecological …, 2022 - Wiley Online Library
As climate and land use increase the variability of many ecosystems, forecasts of ecological
variables are needed to inform management and use of ecosystem services. In particular …

[HTML][HTML] Dynamic monitoring of phycocyanin concentration in Chaohu Lake of China using Sentinel-3 images and its indication of cyanobacterial blooms

J Wang, Z Wang, Y Cui, S Yan - Ecological Indicators, 2022 - Elsevier
Phycocyanin (PC) is an indicator pigment of cyanobacteria in water. Monitoring the dynamic
variation of PC concentration in lakes by satellite remote sensing is of great significance for …

Real-time monitoring of cyanobacterial harmful algal blooms with the panther buoy

TR Miller, W Tarpey, J Nuese, M Smith - ACS ES&T Water, 2022 - ACS Publications
Cyanobacterial harmful algal blooms (cyanoHABs) are a growing problem in aquatic
environments. Here, a new data buoy system is described (ie,“the Panther buoy”) for …