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Environmental Business Review | Tuesday, June 25, 2024
Advanced technologies like AI, drones, and IoT are crucial for global adaptation to climate change, requiring collaboration between governments, businesses, and communities for equitable access and sustainable development.
FREMONT, CA: The urgency of developing and implementing technologies that support global adaptation efforts has become more pressing with the growing challenges of climate change. Advanced technology has become an effective instrument for reducing and adjusting these changes. Precision farming methods, renewable energy sources, and sophisticated weather forecasting systems are just a few examples of the technologies that present a viable path toward promoting sustainability and resilience.
Artificial Intelligence: AI creates accurate and sophisticated weather and climate models. AI, for instance, has added data on sea surface temperature to ocean models, which human experts needed help accomplishing. With this technology, the scientific community has a better knowledge of ocean current speed. AI has also led to advancements in climate adaptation, such as drought-resistant crops and smart sewer systems that prevent floods after high rainfall.
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Drones: Unmanned aerial vehicles or unmanned aircraft that can travel great distances and be outfitted with advanced cameras. They can also carry sophisticated technology, such as geo-positioning systems for highly accurate location tracking and sensors to identify irregularities. By gathering visual data on climate risk and repercussions, drones can assist organizations in adapting to the changing climate.
Earth Observation for Climate Resilience: Earth observation collects data on changes in Earth through satellites and other remote sensing technologies, as well as location-based methods like weather stations. Massive amounts of satellite data assist researchers in creating new strategies for planetary resource management. In a climate adaptation scenario, observation of Earth is essential for warning systems early, such as predicting hurricanes before they occur.
Advanced Computing: Advanced computing involves using the latest computers with improved precision and speed. These include quantum computers, which use subatomic particles like photons or light particles to execute many calculations simultaneously, and supercomputers, the world's most significant and potent computers. As quantum computing can predict processes like fluid dynamics, crucial to weather forecasting, supercomputers are expected to advance climate modeling and adaptation. This is a challenge to conventional computers. Additionally, supercomputing is becoming more accessible to support climate and weather modeling.
IoT: IoT technology collects and disseminates new data types, like temperature and air quality variations. For instance, people in the impacted area can receive notifications on their mobile phones from sensors that identify wildfires. An IoT platform identifies wildfires and transmits data to emergency agencies and firefighters. The system watches over 5 million acres of land and detects thousands of fires using powerful cameras and several data sources.
AR & VR: Immersion-based technologies include virtual reality (VR) and augmented reality (AR). This involves utilizing gear, like headsets, to immerse people or completely overlay digital elements in real-world settings. The usage of AR and VR in conjunction with climate change adaptation is growing. VR headsets, for instance, can simulate the effects of climate change by displaying a world where biodiversity has decreased and weather patterns have changed.
These rapid technological evolutions provide promising solutions for building resilience in a changing world. Governments, businesses, and communities must work together to prioritize and invest in these technologies, ensuring equitable access and sustainable development. By harnessing the power of technology, the future can forge a path toward a more resilient, sustainable, and climate-resilient world for generations to come.
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