Monitoring water diversity and water quality with remote sensing and traits
Changes and disturbances to water diversity and quality are complex and multi-scale in
space and time. Although in situ methods provide detailed point information on the condition …
space and time. Although in situ methods provide detailed point information on the condition …
Real-time chlorophyll-a forecasting using machine learning framework with dimension reduction and hyperspectral data
D Kim, KJ Lee, SM Jeong, MS Song, BJ Kim… - Environmental …, 2024 - Elsevier
Since water is an essential resource in various fields, it requires constant monitoring.
Chlorophyll-a concentration is a crucial indicator of water quality and can be used to monitor …
Chlorophyll-a concentration is a crucial indicator of water quality and can be used to monitor …
[HTML][HTML] Fate of a toxic Microcystis aeruginosa bloom introduced into a subtropical estuary from a flow-managed canal and management implications
EJ Phlips, S Badylak, EC Milbrandt, B Stelling… - Journal of …, 2025 - Elsevier
Abstract The Caloosahatchee Estuary in southwest Florida, USA, is regularly subject to the
introduction of toxic Microcystis aeruginosa blooms, often originating from the eutrophic …
introduction of toxic Microcystis aeruginosa blooms, often originating from the eutrophic …
A framework for develo** a real-time lake phytoplankton forecasting system to support water quality management in the face of global change
Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and
thus pose a major risk to drinking water safety. Climate and land use change are increasing …
thus pose a major risk to drinking water safety. Climate and land use change are increasing …
Integrating spatial-temporal features into prediction tasks: A novel method for identifying the potential water pollution area in large river basins
Y Tian, Y Zhao, Z Yin, N Deng, S Li, H Zhao… - Journal of Environmental …, 2025 - Elsevier
Forecasting potential water pollution areas (PWPA) is essential for effective watershed
management. However, there remains a limited understanding of the spatial-temporal …
management. However, there remains a limited understanding of the spatial-temporal …
Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States
Chlorophyll-a (Chl-a) is a commonly used proxy for algal biomass within surface waters,
which can be indicative of harmful algal blooms. Excess nutrients, such as nitrogen or …
which can be indicative of harmful algal blooms. Excess nutrients, such as nitrogen or …
[HTML][HTML] Develo** cyanobacterial bloom indicators from spatiotemporal differences in productivity and water quality across a lake-stream network
Abstract Cyanobacterial Harmful Algal Blooms (cHABs) are an increasingly common
occurrence in inland waters and carry ecological, economic, and public health …
occurrence in inland waters and carry ecological, economic, and public health …
Predicting Chlorophyll-a Concentration and Harmful Algal Blooms in Lake Okeechobee Using Time-Series MODIS Satellite Imagery and Long Short-Term Memory
K Bagherian, EG Fernández-Figueroa… - Journal of the …, 2024 - elibrary.asabe.org
Highlights A 10-year dataset of time-series MODIS imagery and in situ Chl-a concentration
were curated for Lake Okeechobee. LSTM significantly outperformed KNN, SVR, and RF for …
were curated for Lake Okeechobee. LSTM significantly outperformed KNN, SVR, and RF for …
Tourism and Career Development in the Face of Seawater Threats: Understanding the Perspectives of Tourism and Hospitality Students from Coastal Areas.
The subject of this paper stems from the potential threat to the development of tourism
functions in coastal destinations, which carries significant consequences for the tourism …
functions in coastal destinations, which carries significant consequences for the tourism …
The ecological forecast horizon revisited: Potential, actual and relative system predictability
M Wesselkamp, J Albrecht, E Pinnington… - arxiv preprint arxiv …, 2024 - arxiv.org
Ecological forecasts are model-based statements about currently unknown ecosystem states
in time or space. For a model forecast to be useful to inform decision-makers, model …
in time or space. For a model forecast to be useful to inform decision-makers, model …