Monitoring water diversity and water quality with remote sensing and traits

A Lausch, L Bannehr, SA Berger, E Borg, J Bumberger… - Remote Sensing, 2024 - mdpi.com
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 …

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 …

[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 …

A framework for develo** a real-time lake phytoplankton forecasting system to support water quality management in the face of global change

CC Carey, RSD Calder, RJ Figueiredo, RB Gramacy… - Ambio, 2024 - Springer
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 …

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 …

Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States

M Dietrich, HE Golden, JR Christensen… - … & Technology Letters, 2024 - ACS Publications
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 …

[HTML][HTML] Develo** cyanobacterial bloom indicators from spatiotemporal differences in productivity and water quality across a lake-stream network

J Brown, A Krivchenia, MJ Pierce, CE Richmond… - Ecological …, 2024 - Elsevier
Abstract Cyanobacterial Harmful Algal Blooms (cHABs) are an increasingly common
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 …

Tourism and Career Development in the Face of Seawater Threats: Understanding the Perspectives of Tourism and Hospitality Students from Coastal Areas.

A Grobelna, M Bogalecka - Sustainability (2071-1050), 2024 - search.ebscohost.com
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 …

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 …