Abstract: Many existing amusement parks have been operated
with assistance of a variety of information and communications
technologies to design friendly and efficient service systems for
tourists. However, these systems leave various levels of decisions to
tourists to make by themselves. This incurs pressure on tourists and
thereby bringing negative experience in their tour. This paper
proposes a smart amusement park system to offer each tourist the
GPS-based customized plan without tourists making decisions by
themselves. The proposed system consists of the mobile app
subsystem, the central subsystem, and the detecting/counting
subsystem. The mobile app subsystem interacts with the central
subsystem. The central subsystem performs the necessary computing
and database management of the proposed system. The
detecting/counting subsystem aims to detect and compute the number
of visitors to an attraction. Experimental results show that the
proposed system can not only work well, but also provide an
innovative business operating model for owners of amusement parks.
Abstract: This study applied the Gaussian trajectory
transfer-coefficient model (GTx) to simulate the particulate matter
concentrations and the source apportionments at Nanzih Air Quality
Monitoring Station in southern Taiwan from November 2007 to
February 2008. The correlation coefficient between the observed and
the calculated daily PM10 concentrations is 0.5 and the absolute bias of
the PM10 concentrations is 24%. The simulated PM10 concentrations
matched well with the observed data. Although the emission rate of
PM10 was dominated by area sources (58%), the results of source
apportionments indicated that the primary sources for PM10 at Nanzih
Station were point sources (42%), area sources (20%) and then upwind
boundary concentration (14%). The obvious difference of PM10 source
apportionment between episode and non-episode days was upwind
boundary concentrations which contributed to 20% and 11% PM10
sources, respectively. The gas-particle conversion of secondary
aerosol and long range transport played crucial roles on the PM10
contribution to a receptor.