Estimation of anthropogenic GHG emission rate for different sources in
Japanese megacity by using airborne imaging-spectrometer suites
Abstract
In almost Japanese megacities, various CO2 and CH4 emission source like
industrial activity (power plant, landfills, gas factory, water
processing plants), and agricultural activity (rice cultivation, pig
farm) are concentrated within a few tens kilometers region. In order to
estimate CO2 and CH4 emission rate for above various different sources,
we newly developed airborne Imaging-spectrometer suites which consist of
NIR spectrometer for O2-A band measurement and SWIR spectrometer for
CO2/CH4 measurement. We also developed quick algorithm based on
nonlinear fitting of synthetic spectrum to observation spectrum by
optimization of column density of CO2 / CH4 and instrumental
characteristic parameter simultaneously. The algorithm takes less than
20 second per 1 retrieval by using laptop computer, and we will
challenge further acceleration by more than tens of times in order to
realize real-time observation. For the first flight, we selected the
eastern part of the Nagoya urban area, in which there are large CO2
emission sources, including a coal power plant and the transportation
sector, and possible CH4 sources from agriculture, energy manufacturing,
and waste that are geographically mixed. The results of observing the
Hekinan power plant (coal-fired power generation) over Aichi Prefecture
on Feb. 16, 2018 are shown in Figure 1. At the Hekinan Power Station,
enhancement of CO2 column-averaged mole fractions are observed, and it
can be seen that the high concentration area extends toward the downwind
side. The accuracy of column density calculated by the quick algorithm
will be validated with ground observation data. We estimated emission
rate of CO2 of Hekinan Power plant.