Global stakeholders should use AI to mitigate impact of heat islands in cities – TechCrunch

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If human society does nothing, the planet can warm up to at least unreachable levels in just a few decades. 34 million yearsMore glaciers and floods than ever melt, leading to the devastating effects of urban heat waves.

In 2021, the United States alone already suffered 18 extreme climate-related disasters, each costing more than $ 1 billion. According to the US National Oceanic and Atmospheric Administration..

Looking at the world’s natural disasters on a scale of results and frequency, floods and earthquakes have devastating effects on people and property, but are generally less frequent than heat waves in the form of the urban heat island (UHI). Become. These are also called heat pockets and can be found in downtown areas of cities where the temperature is higher than the surrounding area.

As urbanized areas warm rapidly, many people More population worldwide Bound to face Fatal consequences Analysis of the heat island effect, emphasizing urban public health disparities. Between 2000 and 2016 World Health OrganizationThe number of people exposed to the heat wave has increased by 125 million, killing more than 166,000 between 1998 and 2017.

U.S. city officials are now worried Its intense heat can reduce the level of comfort and conditions of residents, especially the most vulnerable, but cities do not have the appropriate data to mitigate the impact.

Working for a design-driven data science company, I use advanced analytics and artificial intelligence to build sustainable solutions for organizations and solve complex business, social, and socio-economic problems. We know that AI) technology can be solved using interactive data visualization.

Nevertheless, these new technologies can only be deployed through collaboration between public health professionals, businesses, local governments, communities, nonprofits and technology partners. This cross-cutting intervention is the only way to democratize technology and remedy the urban heat island devastation. So how do these players work together to reduce the urban heat island?

Understand which countries are making important contributions

A few companies, governments and NGOs around the world are working to solve the heat wave problem.

But because Canada has warmed up Average 1.6 ° C Between 1948 and 2012, it has nearly doubled the world’s average warming rate and is far more advanced than games when using AI to predict heat waves. In essence, Canadian cities are technology-driven and technology-savvy, allowing cities around the world to turn to Canada for in-depth analysis and innovative ideas. for example, MyHeat It tracks the solar potential of a building, takes heat waves and uses them to generate sustainable energy.

European cities, including Helsinki and Amsterdam, are also tackling this challenge. AI4Cities Is an EU-funded project that brings together major European cities looking for AI solutions to accelerate carbon neutrality. The total funding amount of € 4.6 million will be split among the selected suppliers.

Despite these projects that leverage AI to solve climate change problems, we continue to focus on other niches, such as reducing carbon dioxide emissions. They focus on mitigating the causes of climate change, not impact.

Therefore, the effects of heat waves remain an unsolved problem. This is also due to the attention of other immediate and significant natural disasters, such as floods. Heat waves are silent killer with thermal discomfort, more energy usage, and undercurrent power outages. And perhaps the biggest challenge is that technologies that face heat waves are not openly available to local governments and nonprofits.

Utilization of AI-based solutions

Through work with ever greenAs a non-profit organization that builds resilient cities and reduces climate risk, we were introduced to a network of Canadian cities. Investigations and investigations have shown that there are many digital infrastructure and data-driven decisions for floods and earthquakes, but there are few or no solutions to heat waves.

Heat waves are primarily an open issue, and as a scalable tool, there is a great opportunity to inform cities to make evidence-based decisions.

Evergreen uses geospatial analytics, AI and big data in addition to data visualization tools created through Microsoft. AI for Earth GrantsIntegrates and analyzes various datasets to investigate the urban heat island of the entire city. This helps municipalities identify problem areas with low vegetation or impermeable surfaces and mitigate the effects of the heat island by installing cool roofs, fountains, and green roofs.

The Analysis using AI Visualization tools built on the Microsoft Azure Stack provide several features. Maps or topographic maps allow municipal climate teams to obtain surface temperatures every 30 meters above the ground. In addition, there is a scenario modeling view that allows you to generate scenarios for future urban sprawl by changing features such as the number and height of buildings. Albedo level And other city sprawl parameters.

This versatile tool is already impacting the climate resilience of municipalities across Canada by tracking greenhouse gases. It could also have a positive impact on policy shifts around greenhouse gas and carbon dioxide emissions around the world in the coming years.

The Association for Sustainable Environment and Ecosystem Development (SEEDS), along with Microsoft India Second phase of AI A model for predicting heat wave risk in India and providing cost-effective interventions. In the event of a heat wave, the government can determine which areas of the city need help and attention. SEEDS uses ground truth data, and AI models produce results that are validated on the ground using thermal sensors, among other devices.

City officials need to welcome AI as an economical way to face heat wave problems, as it is scalable and can be quickly applied around the world. AI does not depend on the existence of the region or the ground. You can also package AI into a tool to extract data sources. This makes it easy for departments and key stakeholders to share knowledge and make it understandable to decision makers.

Evergreen’s idea is to inform the community about the types of impact AI has, provide real-world solutions, and create public apps that bring them to life. Story telling mode.. For example, this app can show how the temperature has dropped due to the rooftop greening installation.This allows users to view the insights of their data as a story that can be easily consumed by the user. Various complexity That shapes the problem they are working on.

Democratize and scale AI at the speed of trust

Using multiple data sources in an AI or machine learning (ML) project requires a cross-sectoral solution. The involvement of nonprofits and community builders is very important. They act as a conduit between technology players, businesses, other nonprofits, governments, communities, city planners, real estate developers, and mayor’s offices.

Technology partners can’t expect to arrive in a city with an AI solution and have authorities subscribe to it. You need to create a business case and allow all players to participate in the conversation. It’s a multi-sectoral effort.

Similarly, stakeholders using this innovative technology will not only automatically adopt this tool if they are told: I can install a rooftop greening to help you. “

Let’s take Geographical space example, Developed in collaboration with Microsoft AI for the Earth initiative. The entire population of the city was mapped with emission points within a 100 square meter block on a 40 meter grid to release transgenic mosquitoes to kill mosquitoes carrying dangerous diseases.

This scalable solution with AI Bringing a resolution to the suffering community From dengue and yellow fever. But if someone comes to your house and says it’s flooded with GM mosquitoes, not just because of the idea of ​​being attacked by mosquitoes. Global resistance For evolving AI. There are concerns about expanding the ability to use personal information that violates the interests of privacy.

This is why successful projects are often carried out by educating the community. Community partnerships are the key to spreading a positive message about lowering temperatures, reducing energy usage and adopting climate-friendly AI technology.

In Canada, for example, every city has its own climate team, weather model, and sensors in key locations throughout the city zone. It is difficult for large data and technology companies to obtain this weather data. Cities must be willing to share. This is also true for high resolution, high quality satellite images that calculate cloud cover. You need a data provider to inform you about population data and socio-economic considerations.

Therefore, the project must be done at a speed of trust. Cities are more likely to share data points with technology companies that can provide real, scalable solutions when reliability is established. Without this, these companies would have to rely on open source data published by NASA and Copernicus.

So what does this all mean for enterprise players and their CEOs? AI solutions for cities are targeted at municipal climate teams and communities. But what about oil and gas companies? As they contribute to much of the city’s emissions, they are under great pressure to report carbon dioxide emissions.

AI solutions for them include a tracking command center to track the carbon emissions that refineries and cargo have left behind in real time. The CEO is obliged to reduce carbon dioxide emissions by product and by employee. By adopting an AI solution, you can be accountable for the environmental impact while showing that you are also aware that it is part of the heat wave problem.

COVID-19 attracted attention because more people live at home than work in the office. This means that, apart from the comfort of common facilities and offices, the population has experienced higher temperatures and discomfort in a more prominent way.

Leaders across the social change community can reverse these dire effects of climate change and heat waves by facilitating collaboration between companies, NGOs, governments, technology partners and community leaders. This means that potential solutions from AI and ML can be deployed faster, not just too late.

Global stakeholders should use AI to mitigate impact of heat islands in cities – TechCrunch Source link Global stakeholders should use AI to mitigate impact of heat islands in cities – TechCrunch

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