PREDICCIÓN Y PREVENCIÓN DE FLORES DE ALGAS DAÑINAS EN SU COMUNIDAD
AGUA CLARA POR DELANTE
EL PROBLEMA
LA SOLUCIÓN
¿QUÉ PUEDES HACER?
Florida perdió 2.700 millones de dólares en ingresos turísticos en un solo año debido a las floraciones de algas nocivas.
(Álvarez et al., 2024)
Las floraciones de algas nocivas fueron un 59,2% más comunes y un 13,2% mayores en 2020 que en 2003.
(Dai y otros, 2023)
400.000 personas se quedaron sin agua potable en Toledo, Ohio, debido a una floración de algas nocivas en 2014.
(Fundación Nacional de la Ciencia, 2019)
Las floraciones de algas nocivas, también conocidas como FAN, son eventos en los que un cuerpo de agua sufre eutrofización, lo que resulta en un gran crecimiento de algas en un período corto.
La eutrofización ocurre cuando un cuerpo de agua se enriquece con un exceso de nutrientes, generalmente provenientes de fuentes como escorrentías agrícolas, desechos industriales y aguas residuales. Esta acumulación de nutrientes alimenta el crecimiento descontrolado de algas, lo que da lugar a floraciones de algas nocivas (FAN). Si bien algunas floraciones ocurren de manera natural, la gran mayoría son impulsadas por actividades humanas.
El rápido aumento de las algas puede alterar los ecosistemas acuáticos, dañando a las plantas y a los animales al reducir los niveles de oxígeno y bloquear la luz solar. Además de los daños ambientales, estas floraciones pueden suponer graves riesgos para la salud pública, como la contaminación del agua potable y de los mariscos.
Desde el punto de vista económico, las floraciones de algas nocivas pueden devastar las industrias locales, en particular el turismo y la pesca, lo que genera importantes pérdidas financieras y desafíos económicos a largo plazo para las comunidades afectadas.
definiendo
FLORECIMIENTOS DE ALGAS DAÑINAS
SOLUCIÓN de floraciones de algas nocivas
Aprendizaje automático
Detección remota
Información geográfica
Sistemas (SIG)
Contribuyentes a las floraciones de algas nocivas
Multiespectral
o
¿Hiperespectral?
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.
Contribuyentes a las floraciones de algas nocivas
El cambio climático intensifica las floraciones de algas nocivas al calentar las aguas y aumentar la escorrentía rica en nutrientes proveniente de tormentas más frecuentes.
Cambio climático
La contaminación agrícola, especialmente la proveniente de fertilizantes, sobrecarga los cuerpos de agua con nutrientes, alimentando directamente las floraciones de algas nocivas.
Contaminación agrícola
La escorrentía urbana, que transporta contaminantes como petróleo, productos químicos y desechos, degrada la calidad del agua y crea condiciones ideales para el desarrollo de algas dañinas.
Escorrentía urbana
Los desechos industriales introducen sustancias químicas nocivas y un exceso de nutrientes en los sistemas de agua, acelerando el crecimiento de floraciones de algas tóxicas.
Desechos industriales
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.
definiendo
FLORECIMIENTOS DE ALGAS DAÑINAS
Early Warning Systems
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Develop strong early warning systems by combining hyperspectral remote sensing data with advanced machine learning models like CNNs, RNNs, and random forests.
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Utilize high-resolution hyperspectral sensors (e.g., NASA's PACE OCI) to detect and predict harmful algal bloom (HAB) occurrences early.
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Use machine learning to analyze environmental factors such as nutrient levels and weather data to forecast the likelihood of HABs.
Targeted Mitigation Actions
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Use early warning data to plan specific actions in affected water bodies.
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Implement strategies to manage nutrients, like reducing runoff from farms and cities, to control algal bloom growth.
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Apply localized methods such as aeration, circulation, or chemical treatments in identified HAB hotspots.
Decision Support and Resource Allocation
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Combine remote sensing data, machine predictions, and GIS analysis to guide decisions and allocate resources for preventing HABs.
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Prioritize efforts and distribute resources based on predicted severity and potential impacts in different regions or bodies of water.
Collaboration and Data Sharing
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Promote collaboration among researchers, agencies, and stakeholders by sharing remote sensing data, model results, and analyses for HAB monitoring and prevention.
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Establish platforms and protocols for sharing data to coordinate prevention efforts across affected regions.
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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.
Multiespectral
