FORECAST MODELS FOR URBAN EXTREME TEMPERATURES : KARACHI REGION AS A CASE STUDY
Abstract
The climatic signature of global warming is both local and global. The forcing by increasing greenhouse gases is global, so there is clearly a global component to the climatic signature. Moreover, the damaging impacts of global warming are manifesting themselves around the world in the form of extreme weather events like storms, tornadoes, floods and droughts, all of which have been escalating in frequency and intensity. Furthermore, it is a well-known fact that there is high degree of uncertainty surrounding projections of basic climate variables, such as temperature and precipitation. However, numerous authors have explored many of these effects individually and have begun exploring the interactions between climate change-induced impacts in different sectors of urban activities. Therefore, it is safe to say that an attempt to conduct a definitive, comprehensive analysis of all the potential impacts of climate change on the urban structure is premature at present. This communication attempts to examine the trends in maximum monthly urban temperature fluctuations. Analysis reveals increasing trends in urban temperature fluctuations showing effect of Karachi industrializations. Forecast models also suggest future scenario with respect to occurrence of extreme temperature. The analysis carried out in this work would be useful for urban planners for sustainable future development, economists and environmentalists etc.References
A.S. Monin, Gidro Meteoizdat: Leningard,
Russia (1982).
D. Briggs et al., 2nd Edition, Routledge,
London (1997).
M.A.K. Yousufzai, M.A. Hussain and M.R.K.
Ansari, Proceedings of Fourth International
Conference on Recent Advances in Space
Technologies, June 11-13, Istanbul, Turkey
(2009), ISBN-978-1-4241-3626-2.
M.J. Iqbal, Ph.D. Thesis. University of
Karachi, Pakistan (2005).
M. Martin, International Strategy for Disaster
Reduction (UN/ISDR), United Nations (2007-
.
M.A.K. Yousuf Zai, Ph. D. Thesis, University
of Karachi, Pakistan (2003).
M.A.K. Yousuf Zai, M.R.K. Ansari, J. Iqbal
and M.A. Hussain, Proceedings of 35th All
Pakistan Science Conference, University of
Karachi, Pakistan, Dec. 20-23 (2008).
M.A. Hussain and M.R.K. Ansari, Arabian
Journal for Science and Engg. 32, No. 32A
(2007) 189.
M.A. Hussain and M.R.K. Ansari, Arabian
Journal for Science and Engg. 35, No. 1A
(2010) 103.
T.M.J.A. Cooray, Applied Time Series,
Analysis and Forecasting, Narosa Publishing
House, New Delhi, India (2008).
Sclove, Stanley L. Notes on Time-Series
Analysis: http://www.uic.edu/classes/ ids571/
timeseries / notes.pdf. (2002a).
X. Zheng and R.E. Basher, Journal of
Climate 12 (1999) 2347.
J. L. Davis, P. Elósegui, J. X. Mitrovica and
M. E. Tamisiea, Geophys Res. Lett. 31
(2004) L24605, doi:10.1029/2004GL021435.
K.B. Douglas, Annette M.Bardsley. http://
www.environment.sa.gov.au/coasts/pdfs/no2
pdf. (2007).
The Trade & Environment Database, "The
Karachi Coastline Case". http://www1.
american. edu /TED/karachi.htm. Retrieved
(2009).
Karachi Meteorological Department of
Pakistan. http:// www.met. gov.pk / cdpc/
karachi.htm. Retrieved (2008).
S.H. Sajjad et al.(2009), DOI 10.1007/s
-009-9598-y.
Hyderabad Pakistan Mega Project, Retrieved
(2008).
"WorldBriefing".NewYorkTimes, http://query.
nytimes.com/gst/fullpage.html?res=
F0DE0DC173EF933 A05754C0A9659
C8B63. Retrieved (2008).
T.M.A. Khan et al. Natural Hazards 31, No. 2
(2004) 549.
R.H Shumway and D.S. Stoffer, Time-Series
Analysis and its Application with R Examples,
Springer Science (2006) 53.
