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Related Concept Videos

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The kingdom Archaeplastida encompasses red and green algae, along with land plants. Unlike other protists with chloroplasts that arose through secondary endosymbiosis, only red and green algae originated from primary endosymbiotic events. This diverse group of eukaryotic organisms contains chlorophyll and performs oxygenic photosynthesis.Algae exist in various forms, from large brown kelp in coastal waters to green scum in puddles and stains on rocks or soil. Some species are responsible for...
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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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The group Stramenopiles include some phototrophic microorganisms. Members of this group possess flagella covered in numerous short, hairlike extensions, a feature that inspired the group's name, derived from the Latin words for "straw" and "hair." Some of the main categories of Stramenopiles include diatoms, golden algae, and brown algae.Diatoms are unicellular, photosynthetic eukaryotes, with over 200 known genera. They play a key role in the planktonic communities of both marine and...
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Modeling Algal Toxin Dynamics and Integrated Web Framework for Lakes.

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  • 1NOAA, Global Systems Laboratory, Boulder, CO 80305, USA.

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Summary
This summary is machine-generated.

Harmful algal blooms (HABs) modeling is now more accurate using the SINDy technique. A new web tool helps educate the public and find solutions for HAB events.

Keywords:
environmental healthharmful algaemicrocystinpublic healthsparse identification of nonlinear dynamics (SINDy)web framework

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Area of Science:

  • Environmental Science
  • Data Science
  • Ecology

Background:

  • Harmful algal blooms (HABs) pose significant risks to public health, ecosystems, and economies.
  • Accurate HAB modeling is essential for sustainable development goals concerning water quality.
  • Challenges in HAB modeling include data scarcity and the nonlinear dynamics of algal growth.

Purpose of the Study:

  • To develop a robust model for microcystin, a key algal toxin, using the SINDy technique.
  • To utilize dissolved oxygen and evaporation data for improved HAB prediction.
  • To create an interactive tool for environmental education and public awareness regarding HABs.

Main Methods:

  • Employed the sparse identification of nonlinear dynamics (SINDy) method, a machine learning approach.
  • Integrated dissolved oxygen (water quality) and evaporation (meteorological) as model parameters.
  • Developed a web-based interactive platform for scenario analysis and HAB tracking.

Main Results:

  • Achieved high model accuracy with Mean Absolute Percentage Error (MAPE) around 2% in three out of four studied lakes.
  • The model for the fourth lake showed an 11% MAPE, indicating areas for further refinement.
  • The interactive tool effectively visualizes HAB dynamics and parameter impacts.

Conclusions:

  • The SINDy technique offers a promising approach for accurate HAB toxin modeling.
  • The developed web tool enhances public understanding and facilitates proactive HAB management strategies.
  • This integrated approach supports informed decision-making for mitigating HAB impacts.