The world is facing a climate emergency. Unless we act in concert to measure, report and mitigate the impact we are having on the environment and other species, this and future generations will be unable to halt the inevitable runaway effect. Using Elasticsearch, it is possible to visualise the point sources of pollution geographically alongside multiple datasets (static and dynamic) to begin the process of reducing, stopping and then reversing CO2e. By ingesting data from IoT sensor networks and joining the data to known static locations that emit, it is possible to monitor changes in emission levels in real time in the exact same airspace so source attribution can be implemented meaningfully. If we are to make the change that is possible, we must move away from averaging and drill down in to the raw data to build a better baseline and improve how we capture and share data.
Note: Climate change is real and human activities are the main cause. The concentration of greenhouse gases in the earth’s atmosphere is directly linked to the average global temperature on Earth. The concentration has been rising steadily, and mean global temperatures along with it, since the time of the Industrial Revolution.
The most abundant greenhouse gas, accounting for about two-thirds of greenhouse gases, carbon dioxide (CO2), is largely the product of burning fossil fuels. Source IPCC.