Enabling Transformation
Use Cases - Government
Government, Policy makers, and Regulatory bodies
Enabling Decision-Makers to Strategize, Plan, Execute and Evaluate Impact
Determine Sources Of Air Pollutants:
For Targeted Regulatory Action
An Emission Inventory is a critical foundation based on which any effective and large-scale Climate Change or Pollution action plan is built. It is a key diagnostic dataset that identifies and presents all the various emissions within a geography, while also providing crucial information on their sources and locations.
An Emission Inventory is particularly useful to Government and Regulatory authorities as it pinpoints specific emitters of pollution and recommends targeted action plans to address them.
Vāyu Darpan Emission Inventory Tracker (EIT) and Vāyu Darpan Emission Planner and Predictor (EPP) deliver these outcomes through accessible, scalable, and cost-effective technology models.
Actionable Information
- Democratized and accessible data on the relationship between urban activities and their emission contributions
- Interactive dashboards that identify and present pollution hotspots for addressing targeted interventions
- Scenario simulations that forecast emission impacts of proposed policy actions and enable decision-making
- Software-as-a-Service (SaaS) delivery model allows for remote environmental management of locations from centralized platforms
Solution Delivery Process
Choose Data
Choose common demographic/urban metrics (population, vehicle count, etc.) as inputs
Sectors & Activity
ML-driven environmental models estimate emission contribution of sectors & urban activities
Scenario Analysis
AI-driven geospatial models attribute emissions to specific locations and hotspots
Vāyu Darpan-EPP
Metrics can be modelled to simulate correlative emission impacts and enable predictive planning
Vāyu Darpan-EIT
Delivers data on emission contributors and sources with respective geospatial locations
Benefits
1. Diagnostic data is foundational for Clean Air Action Planning
2. Cost-savings against manual emission survey studies
Solution Delivery Process
Vāyu Darpan-EIT
Delivers data on emission contributors and sources with respective geospatial locations
Choose Data
Choose common demographic/urban metrics (population, vehicle count, etc.) as inputs
Sectors & Activity
ML-driven environmental models estimate emission contribution of sectors & urban activities
Scenario Analysis
AI-driven geospatial models attribute emissions to specific locations and hotspots
Benefits
1. Diagnostic data is foundational for Clean Air Action Planning
2. Cost-savings against manual emission survey studies
Vāyu Darpan-EPP
Metrics can be modelled to simulate correlative emission impacts and enable predictive planning
Vāyu Darpan - Use Case
As a
diagnostic tool
Stakeholders in Government & Regulation benefit from the capability of Vayu Darpan-EIT, to not only measure pollution, but also to automatically build Emission Inventories that identify specific emission contributors, sources and hotspots. It is an easy, cost-effective and efficient way to identify and target Climate Change and Pollution issues.
Bridging Science, Technology and Policy
A major city in India experiencing a consistent rise in pollution levels
A major city in India is experiencing a consistent rise in pollution levels, which is proving to be harmful to its citizens and to the city’s overall functioning.
Having been aware of the adverse health impacts of air pollution, and the fact that millions of deaths in India are direct implications of pollution, the Pollution Control Authorities are trying to address the issue.
However, it is proving difficult and prohibitively expensive to identify exact sources of pollution and take targeted action to manage them using traditional practices
Approach to the Solution
- Build an emission inventory to create a bottoms-up assessment of the city’s major functions and activities and estimate their respective emission contributions
- Identify root-cause pollution sources and hotspots
- Visualize and share emission inventory findings with all stakeholders (polluters, regulators and citizens) to create accountability
- Implement data-driven policy and regulation to encourage polluters to reduce emissions; continue to use emission inventory to monitor progress
Stakeholders and Beneficiaries
- Citizens gaining positive health outcomes because of reduced exposure to pollution
- Regulatory authorities who benefit from capacity building, by using this tool to track emission sources remotely and cost effectively
- Industries and pollution emitters can now control their emissions effectively, to avoid violations
Short Term Impact
- Identification of pollution hotspots in the city and quantify the undetected amount
- Cost-savings from avoidance of investment in redundant solutions such as sensors and monitoring stations
- Easy sharing of emissions-data through Software-as-a-Service models and dashboards
- Capability to take targeted actions against specific pollutant emitters
Long Term Impact
- Improved quality of life for citizens because of reduced pollution
- Shared accountability and coordination between government, citizens and industries towards addressing pollution and Climate Change
- Successful integration of technology-driven data into policy and regulation which can be replicated across other locations
Vāyu Darpan - Use Case
As a
Planning tool
Providing a standardized solution of identifying the pollutant sources that will be cost-effective, scalable, and which provides reliable information in a shorter time as compared to existing methods. It helps reduce costs while assessing the pollution levels before enforcing new regulation or policy.
Bridging Science, Technology and Policy
Assessing the impact of introducing EVs
A major city in India has identified that the biggest source of pollution emission is transportation activity including movement of public and private transport vehicles.
The city authorities are considering various regulatory and policy actions to curb emissions. particularly transitioning public transport services from diesel to EV vehicles. However, there is currently no way of predicting the success rate or effectiveness of implementing the transition to Electric Vehicles.
The city authorities will have to resort to trial and error and hope that this action achieves emission reductions without upsetting the balance of existing urban processes. This is a major constraint given the complexity, expense and scale of this decision. Is there an alternative approach?
Approach to the Solution
- Identify and assess the number, type & emissions existing of vehicles to be replaced by Electric Vehicles
- Use Vāyu Darpan-EIT to run detailed What-If Planning assessments to simulate the impact of transitioning to EV fleets
- Compare emissions of current fleet against emissions from EV simulations
- Use simulator to adjust parameters accordingly until target emissions are met
- Implement EV policy via an informed decision-making process backed by scientific evidence
Stakeholders and Beneficiaries
- Citizens impacted by pollution, Regulatory authorities attempting to reduce pollution levels, Citizen groups and Media
- Citizens experiencing positive health outcomes, Regulatory authorities implementing cost avoidance measures and actions
Short Term Impact
- Immediate reduction of pollution emissions coming from transport activity
- Cost-avoidance by correcting policy anomalies
- Transition to emission-free practices for urban transport
Long Term Impact
- Improved quality of life for citizens because of reduced pollution
- Shared accountability and coordination between government, citizens and industries towards addressing pollution and Climate Change
- Successful integration of technology-driven data into policy and regulation which can be replicated across other locations