scholarly journals Impact of Climate Change on Electricity Demand: A Case Study of Karachi District

2013 ◽  
Vol 52 (4I) ◽  
pp. 467-478 ◽  
Author(s):  
Rafat Mahmood ◽  
Sundus Saleemi ◽  
Sajid Amin
Keyword(s):  
Climate Change ◽  
South Asia ◽  
Cloud Cover ◽  
Electricity Demand ◽  
Climatic Variables ◽  
Extreme Temperatures ◽  
Impact Of Climate Change ◽  
On Demand ◽  
The Impact

Out of the climatic variables such as temperature, humidity, precipitation, cloud cover, etc., electricity demand has been found most responsive to changes in temperature [Parkpoom and Harrison (2008); Al-Hamadi and Soliman (2005); Hor, et al. (2005)]. According to National Aeronautics and Space Administration, the decade from 2001 to 2010 was the warmest worldwide while the rise in surface temperatures of South Asia region by the end of the century is projected around 3.3oC average annually (IPCC);1 not only are the average temperatures rising but the range of extreme temperatures is also widening. Increase in temperatures can affect human lives significantly; the present study focusses on examining the impact of climate change on demand for electricity in Pakistan.

Evaluating the impact of climate change on offshore structures design: A practical case study

2020 ◽  
Vol 94 ◽  
pp. 101992
Author(s):  
I.A. Mosquera-Mosquera ◽  
Marina L. Simão ◽  
Paulo M. Videiro ◽  
Luis V.S. Sagrilo
Keyword(s):  
Climate Change ◽  
Offshore Structures ◽  
Practical Case ◽  
Impact Of Climate Change ◽  
The Impact

scholarly journals Modelling the impact of climate change on harbour operability: The Barcelona port case study

2017 ◽  
Vol 141 ◽  
pp. 64-78 ◽  
Author(s):  
J.P. Sierra ◽  
A. Genius ◽  
P. Lionello ◽  
M. Mestres ◽  
C. Mösso ◽  
...  
Keyword(s):  
Climate Change ◽  
Impact Of Climate Change ◽  
The Impact

scholarly journals Land Use Zoning for Conserving Ecosystem Services under the Impact of Climate Change: A Case Study in the Middle Reaches of the Heihe River Basin

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chenchen Shi ◽  
Jinyan Zhan ◽  
Yongwei Yuan ◽  
Feng Wu ◽  
Zhihui Li
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Ecosystem Services ◽  
River Basin ◽  
Heihe River Basin ◽  
Heihe River ◽  
Impact Of Climate Change ◽  
The Impact ◽  
The Heihe River Basin

Ecosystem services are the benefit human populations derive directly and indirectly from the natural environment. They suffer from both the human intervention, like land use zoning change, and natural intervention, like the climate change. Under the background of climate change, regulation services of ecosystem could be strengthened under proper land use zoning policy to mitigate the climate change. In this paper, a case study was conducted in the middle reaches of the Heihe River Basin to assess the ecosystem services conservation zoning under the change of land use associated with climate variations. The research results show the spatial impact of land use zoning on ecosystem services in the study area which are significant reference for the spatial optimization of land use zoning in preserving the key ecosystem services to mitigate the climate change. The research contributes to the growing literature in finely characterizing the ecosystem services zones altered by land use change to alleviate the impact of climate change, as there is no such systematic ecosystem zoning method before.

scholarly journals THE IMPACT OF SEASONALITY ON TOURIST’S ARRIVAL IN BANGLADESH BY USING SANCOVA MODEL

2021 ◽  
Vol 38 (4) ◽  
pp. 1118-1124
Author(s):  
Sayed Mohibul HOSSEN ◽  
◽  
Mohd Tahir ISMAIL ◽  
Mosab I. TABASH ◽  
Suhaib ANAGREH ◽  
...  
Keyword(s):  
Climate Change ◽  
Seasonal Variation ◽  
Tourism Industry ◽  
Climatic Variables ◽  
Modeling Framework ◽  
Impact Of Climate Change ◽  
Ancova Model ◽  
Minimum Variation ◽  
The Impact

In this study, we aim to highlight the impact of climate change as well as seasonality on tourist’s arrival in Bangladesh. The SANCOVA modeling framework modified by the ANCOVA model is used to examine the impact of climate change on tourists’ arrivals. The results show seasonality has a 91% effect on tourist’s arrival in Bangladesh. The maximum and minimum variation of climatic variables on tourists’ arrival in Bangladesh is rainfall and humidity, respectively. The winter and summer seasons have similar and more impact on tourist’s arrival in Bangladesh. Our findings indicate that the tourism industry of Bangladesh is more vulnerable to seasonal variation than the overall economy. The present study has significant implications for both policymakers and tourisms destination alike to plan for tourism in Bangladesh.

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