THE PROBLEM

THE SOLUTION

WHAT CAN YOU DO?

Florida lost 2.7 billion dollars in tourist revenue in a single year due to Harmful Algal Blooms.

(Alvarez et al., 2024)

Harmful algal blooms were 59.2% more common and 13.2% bigger in 2020 than in 2003.

(Dai et al., 2023)

400,000 people were left without clean drinking water in Toledo, Ohio due to a harmful algal bloom in 2014.

(National Science Foundation, 2019)

Harmful Algal Blooms, also known as HABs, are events in which a body of water undergoes eutrophication, resulting in a large amount of algae growth over a short period.

Eutrophication happens when a water body becomes enriched with excess nutrients, typically from sources like agricultural runoff, industrial waste, and sewage. This nutrient buildup fuels uncontrolled algal growth, leading to harmful algal blooms (HABs). While some blooms occur naturally, the vast majority are driven by human activities.

The rapid increase in algae can disrupt aquatic ecosystems, harming plants and animals by depleting oxygen levels and blocking sunlight. Beyond environmental damage, these blooms can pose serious public health risks, such as contaminating drinking water and seafood.

Economically, HABs can devastate local industries, particularly tourism and fisheries, leading to significant financial losses and long-term economic challenges for affected communities.

defining
HARMFUL ALGAL BLOOMS

SOLVING harmful algal blooms

Machine Learning

Remote Sensing

GIS

Role of technology

Multispectral

vs

Hyperspectral?

How do we observe Harmful Algal Blooms?

Harmful algal blooms (HABs) are monitored through satellite observations and direct field measurements. Satellites equipped with specialized sensors detect changes in water color and composition caused by algae, providing a broad view of bloom locations and their development over time.

Meanwhile, scientists collect water samples and deploy sensors in affected areas to measure nutrient levels, chlorophyll concentration, and other parameters that indicate bloom severity. These combined approaches enable timely identification of HABs, guiding effective management strategies to safeguard aquatic ecosystems and public health.

What are Spectral Bands?

Remote sensing involves using sensors equipped on satellites or aircraft to detect and record specific ranges or portions of the electromagnetic spectrum called spectral bands from the Earth's surface or atmosphere. These bands, measured in nanometers (nm), range from the visible to the infrared, thermal infrared, and microwave regions of the electromagnetic spectrum. Each spectral band provides information about different properties of the observed objects or areas, which is processed and analyzed to extract meaningful information.

What are Multispectral Sensors?

Multispectral sensors capture data in broader wavelength bands, anywhere from four to thirty-six spectral bands, across significantly more limited ranges of the electromagnetic spectrum, providing significantly less detailed spectral information compared to hyperspectral sensors. Despite the advantages of hyperspectral sensors, multispectral sensors are still much more commonly used due to their earlier establishment, lower operation costs, and lower complexity data outputs.

What are Hyperspectral Sensors?

Hyperspectral satellites refer to data-gathering satellites equipped with hyperspectral sensors. Hyperspectral sensors capture hundreds or even thousands of contiguous spectral bands, which provides a much finer spectral resolution as well as higher volumes of spectral data. Hyperspectral Images (HSIs) allow for better discrimination between different materials or features in the scene being imaged and enable more accurate analysis and interpretation of the data (Signoroni et al., 2019).

Unlike multispectral sensors which are generally utilized as satellite instruments, hyperspectral sensors are more commonly equipped on unmanned aircraft such as drones or other aerial vehicles.

Which is the better sensor?

Hyperspectral imaging offers advantages over multispectral imaging due to its ability to capture a wider range of spectral bands with narrower intervals, providing more detailed and precise information about the composition and characteristics of objects or environments. This finer spectral resolution allows hyperspectral sensors to distinguish subtle differences in materials or biological entities, making it particularly effective for applications such as environmental monitoring, agriculture, and remote sensing of harmful algal blooms (HABs), where accurate identification and analysis of specific spectral signatures are crucial.

CONTRIBUTORS TO HARMFUL ALGAL BLOOMS

Climate change intensifies harmful algal blooms by warming waters and increasing nutrient-rich runoff from more frequent storms.

Climate Change

Agricultural pollution, especially from fertilizers, overloads water bodies with nutrients, directly feeding harmful algal blooms.

Agricultural Pollution

Urban runoff, carrying pollutants like oil, chemicals, and waste, degrades water quality, creating ideal conditions for harmful algae to thrive.

Urban Runoff

Industrial waste introduces harmful chemicals and excess nutrients into water systems, accelerating the growth of toxic algal blooms.

Industrial Waste

GIS (Geographic Information Systems) helps prevent harmful algal blooms by mapping where these blooms occur and analyzing factors like water temperature, nutrient levels, and water flow. By understanding where and when blooms are likely to happen, scientists can take preventive measures such as adjusting nutrient inputs or monitoring water quality more closely.

GIS also aids in predicting bloom behavior, allowing for early warnings to protect drinking water sources and aquatic ecosystems, ultimately safeguarding public health and the environment from the impacts of these blooms.

The use of artificial intelligence for analyzing sensor data is a powerful and innovative approach to environmental monitoring. Artificial intelligence can be used to analyze data to identify patterns and indicators that lead to harmful algal blooms.

As new sensor technologies and predictive algorithms have developed, remote sensing-based machine learning models have become increasingly successful in forecasting harmful algal blooms worldwide.

Remote sensing is the science and technology of acquiring information about objects or areas from a distance, typically from the atmosphere or space.

Different species of algae will have distinct characteristics from regular water, which can be used to determine non-HABs from HABs as well as identify which species of algae are present. In February 2024, NASA launched the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite, which carries advanced instruments that will greatly improve the monitoring of harmful algal blooms (HABs) from space.

Bloom prevention

Early Warning Systems

Develop strong early warning systems by combining hyperspectral remote sensing data with advanced machine learning models like CNNs, RNNs, and random forests.

Utilize high-resolution hyperspectral sensors (e.g., NASA's PACE OCI) to detect and predict harmful algal bloom (HAB) occurrences early.

Use machine learning to analyze environmental factors such as nutrient levels and weather data to forecast the likelihood of HABs.

Targeted Mitigation Actions

Use early warning data to plan specific actions in affected water bodies.

Implement strategies to manage nutrients, like reducing runoff from farms and cities, to control algal bloom growth.

Apply localized methods such as aeration, circulation, or chemical treatments in identified HAB hotspots.

Decision Support and Resource Allocation

Combine remote sensing data, machine predictions, and GIS analysis to guide decisions and allocate resources for preventing HABs.

Prioritize efforts and distribute resources based on predicted severity and potential impacts in different regions or bodies of water.

Collaboration and Data Sharing

Promote collaboration among researchers, agencies, and stakeholders by sharing remote sensing data, model results, and analyses for HAB monitoring and prevention.

Establish platforms and protocols for sharing data to coordinate prevention efforts across affected regions.

These strategies leverage advanced technology to enhance early detection, targeted action, informed decision-making, and cooperative efforts in preventing harmful algal blooms.

What can you do?

Reduce.

Reduce how much fertilizer you use on your lawn or garden. Excess nitrogen and phosphorus run off into waterways, fueling harmful algal blooms. Choose phosphate-free household products.

Manage.

Manage yard runoff. Plant buffer strips of grass or shrubs along water edges to absorb nutrients. If you can, install rain barrels to capture stormwater and prevent it from carrying pollutants into drains.

Fix.

Fix your septic system. Ensure your septic system is regularly inspected and working properly. Leaking systems can send nutrients into nearby water bodies, promoting algae growth.

Use.

Use permeable materials for driveways or paths to allow rain to soak into the ground. Rain gardens can also help capture runoff, reducing the flow of nutrients into waterways.

Dispose.

Dispose of waste properly. Never dump chemicals, oils, or paint down storm drains. These can contribute to water pollution and encourage algal growth. Take them to a proper disposal site.

Report.

Report algal blooms. If you see unusual green or scummy water, report it to local authorities. Monitoring helps manage and prevent the spread of harmful algal blooms.

Conserve.

Reducing water use at home means less runoff. Use water-saving appliances and fix any leaks to prevent excess water from carrying pollutants into waterways.

My name is Jay Kapoor. I wrote this research paper during my Sophomore year at River Hill High School.

During the 2023-2024 school year, I explored the complex world of harmful algal blooms and remote sensing.

I've learned that harmful algal blooms are becoming a rapidly growing problem globally due to climate change and pollution. We must innovate and find new solutions and prevention measures to combat this deep issue.

I plan to continue my research into my junior and senior year of high school.

about this project