Traditionally, scientists have monitored algal blooms by collecting water samples and analyzing them in the lab. However, this method is time-consuming and expensive, and it only provides a snapshot of the bloom's extent at the time of sampling.
In recent years, scientists have begun using satellite data to track algal blooms in Lake Erie. This data provides a more comprehensive view of the blooms, and it can be used to predict where they are likely to occur. This information is helping scientists to develop more effective strategies for managing algal blooms and protecting public health.
One of the most important breakthroughs in the study of Lake Erie algal blooms came in 2014, when scientists at NASA's Great Lakes Observing System (GLOS) developed a new algorithm for identifying algal blooms in satellite imagery. This algorithm was able to detect algal blooms with much greater accuracy than previous methods, and it allowed scientists to track the blooms over time.
The GLOS algorithm has been used to study algal blooms in Lake Erie and other Great Lakes. This research has led to a number of important findings, including:
* Algal blooms are becoming more frequent and severe.
* The blooms are occurring earlier in the year and lasting longer.
* The blooms are spreading to new areas of the lake.
These findings are a cause for concern, as they indicate that algal blooms are becoming a more serious threat to public health. However, the GLOS algorithm is also helping scientists to develop more effective strategies for managing algal blooms. For example, the algorithm is being used to:
* Target areas for water quality monitoring and sampling.
* Develop models to predict where algal blooms are likely to occur.
* Develop early warning systems to alert the public to potential health risks.
The GLOS algorithm is a powerful tool that is helping scientists to understand and manage algal blooms in Lake Erie. This research is essential for protecting public health and preserving the Great Lakes ecosystem.
