There is no doubt that without big data and
predictive analytics, plans or policies on climate change will be harshly handicapped
and one-dimensional. Some possible conditions, without big data in the
equation, could be these:
The calculation on how much carbon emission
has to be cut down across the globe could be way off the mark. Consider a situation
in which nations embrace a solution to reduce carbon emissions from all possible
sources like air conditioners, cars, and industrial plants by two percent in
next five years whereas, based on the recent trends, the minimum requirement
was 5%. Insufficient reduction means rising global warming with many other
problems.
Since glaciers are on the verge of being
disappeared faster than ever, there is a tremendous rise in the sea levels.
This will put coastal areas into danger. Without correct analytics and
predictions, proactive actions like rehabilitation, shifting and other steps
couldn’t be sufficient and could be delayed.
Environmental changes and ecological
disparities all over the world could go unnoticed to a larger extent. Unless
updated data based overviews are provided to the right sector, the right
viewpoint might not be produced. It is significant to be capable of comparing and
tracking environmental and ecological changes with data in time.
Effect of big data and predictive analytics
on environment change policies:
Policies and strategies made by focusing on
climate change phenomenon have been drastically influenced by big data as well
as predictive analytics. Both government and non-government organizations have
been building trendsetting tools as well as technologies that help make
advanced climate change steps.
These tools and solutions, needless to say,
are counted on big data. Large volumes of data on various variables like sea
levels, temperature change, forest density and carbon emissions are gathered
ever moment and assessed.
These tools provide relevant insights and
hence make it possible to take right actions on right time to save the earth.
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