Developing an AI-powered Emissions Monitoring System in Urban Areas

Local Chapter Aswan, Egypt Chapter

Coordinated byEgypt ,

Status: Ongoing

Project background.

Our region is known for its rapid urbanization and industrial growth, which has significantly increased the emission of greenhouse gases and air pollutants. As a result, communities living in and around urban centers are exposed to elevated health risks, particularly respiratory diseases, which impose a substantial financial burden on affected individuals and healthcare systems.

Our local focus area, similar to Nairobi, will be on urban centers with significant industrial activities. By collaborating with local industries, government agencies, and community organizations, we aim to gain access to relevant data and promote a transparent and participatory approach to mitigating emissions.

The problem.

Communities living in urban areas and near large industries face huge health and environmental risk due to greenhouse emissions. This exposes the communities to various respiratory diseases which put a financial burden on them. Measuring industry emissions and their impact on the environment and population is a complex process that requires the collaboration of various stakeholders, including industry, government, and civil society. KRCS seeks to make use of a flexible approach through the use of AI to understand the impact of greenhouse gas emissions on climate change and public health.

The output of the project will enable KRCS to work with relevant stakeholders and policymakers in identifying and implementing mitigation measures to reduce emissions and minimize their impact on the environment and population. Further, these insights will be used to create public education and awareness campaigns contributing to more informed and evidence-based decision-making around environmental and public health issues.

Project goals.

1. Develop an AI-powered emissions monitoring system capable of identifying emission hotspots in urban areas and near industrial sites in Nairobi, Kenya. 2. Integrate various data sources, including sensor data, satellite imagery, weather forecasts, and other relevant information, to track emissions in real-time and provide early warnings of potential environmental and health impacts. 3. Analyze the impact of greenhouse gas emissions on climate change and public health, identifying key areas of concern for communities living in the proximity of emission hotspots. 4. Collaborate with relevant stakeholders, including industries, government agencies, and civil society organizations, to share insights and data for more effective emissions reduction strategies. 5. Provide actionable recommendations and mitigation measures to minimize the impact of emissions on the environment and the health of the population. 6. Create public education and awareness campaigns based on the findings to promote informed decision-making and sustainable practices in addressing environmental and public health issues.

Project plan.

  • Week 1

    – Conduct an initial assessment and scoping of the project, including understanding data availability, stakeholder engagement, and defining the specific parameters to monitor emissions.
    – Assemble a team of data scientists, AI experts, environmental researchers, and domain specialists to work on the project.
    – Set up data infrastructure and tools required for data processing, integration, and analysis.

  • Week 2

    – Gather historical emissions data, weather data, and satellite imagery for the target region (Nairobi).
    – Develop AI algorithms to process and analyze the collected data, identifying emission hotspots and trends.

  • Week 3

    Integrate real-time data sources, such as sensor networks, into the AI system for continuous monitoring of emissions. Fine-tune the AI models to improve accuracy in identifying emission sources and their potential impacts.

  • Week 4

    Collaborate with industries and government agencies to gain access to relevant data and insights on emission sources and their practices. Analyze the correlation between emissions and public health data to understand the health impacts on communities.

  • Week 5

    Generate actionable insights and recommendations based on the analysis to mitigate emissions’ impact on the environment and public health. Work closely with the Kenya Red Cross and other stakeholders to develop public education and awareness campaigns.

  • Week 6

    Finalize the AI-powered emissions monitoring system, ensuring its scalability and reliability. Present the project findings, insights, and recommendations to the Kenya Red Cross and other stakeholders. Launch public education and awareness campaigns to promote sustainable practices and informed decision-making

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