Abstract:
It is well known that the natural earth’s energy balance is
influenced by human-induced changes of radiation balance,
especially the concentrations of atmospheric greenhouse gases.
Therefore, it needs for developing reliable models to gauge,
analyse, and monitor the level of greenhouse gas emissions,
especially for dense mega-city populations. Focusing on the
Karachi Region as a case study, this thesis formulates an
imputation scheme for missing data of greenhouse gases from
traffic flow.
This work also identifies useful parameters of distributions
determined by local greenhouse data, performs EDA using
classical and modern techniques for modeling the data, discusses
the impact of greenhouse gases on local temperature fluctuation.
To do bootstrapping of greenhouse data, a new kind of hybrid
random number generator is proposed which gives satisfactory
results for smaller number of bootstrap samples. Finally, it finds
the interrelationship between local and global temperature
fluctuations after doing analysis on the dynamics of local and
global warming evolution processes.
