climate change on UAE - Stockholm Environment Institute-US Center
climate change on UAE - Stockholm Environment Institute-US Center
climate change on UAE - Stockholm Environment Institute-US Center
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4. Inundati<strong>on</strong> analysis of<br />
coastal areas<br />
After much debate, the general agreement is<br />
that “vulnerability is neither an outcome nor a<br />
static internal c<strong>on</strong>diti<strong>on</strong> but rather a dynamic<br />
property emerging from the structure of human<br />
relati<strong>on</strong>s, the internal attributes of specific<br />
populati<strong>on</strong>s and places, and the nature of socialenvir<strong>on</strong>mental<br />
interacti<strong>on</strong>” (Encyclopedia of<br />
the Earth). The goal of any model in which<br />
vulnerability is operati<strong>on</strong>alized is to then capture<br />
both the internal and external dimensi<strong>on</strong>s of<br />
vulnerability. The benefit of obtaining a better<br />
understanding of vulnerability is that it can<br />
better inform policymakers to the appropriate<br />
resp<strong>on</strong>se acti<strong>on</strong>s. With respect to <str<strong>on</strong>g>climate</str<strong>on</strong>g><br />
<str<strong>on</strong>g>change</str<strong>on</strong>g>, the magnitude of vulnerability can then<br />
be met with adequate adaptati<strong>on</strong> measures.<br />
What follows is a quantitative assessment of<br />
the <strong>UAE</strong> coastline’s vulnerability to sea level<br />
rise. The initial focus was <strong>on</strong> the urban built<br />
envir<strong>on</strong>ment in each of the major cities of the<br />
<strong>UAE</strong> (i.e., Abu Dhabi, Dubai, Sharjah, Umm al-<br />
Quwain, Ajman, Ras Al Khaimah, and Fujairah).<br />
Where data permits, this was included in the<br />
study. For the n<strong>on</strong>-built envir<strong>on</strong>ment, the focus<br />
was <strong>on</strong> the coastline of the Abu Dhabi Emirate<br />
<strong>on</strong>ly.<br />
4.1. Introducti<strong>on</strong><br />
Coastal systems are inherently dynamic and<br />
c<strong>on</strong>tinually changing in resp<strong>on</strong>se to natural<br />
processes like tides, and other global oceanatmospheric<br />
interacti<strong>on</strong>s like the North<br />
Atlantic Oscillati<strong>on</strong> (NAO), El-Nino Southern<br />
Oscillati<strong>on</strong> (ENSO) and seas<strong>on</strong>al rainfall and<br />
sea-surface temperatures. Human decisi<strong>on</strong>s<br />
and development patterns often undermine<br />
coastal ecosystems’ abilities to resp<strong>on</strong>d to<br />
these natural phenomena and, when juxtaposed<br />
against the added extreme <str<strong>on</strong>g>change</str<strong>on</strong>g>s expected<br />
from <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g>, vulnerability is an even<br />
more pressing c<strong>on</strong>cern. Vulnerability to sea<br />
level rise causes particular anxiety for coastal<br />
societies like those al<strong>on</strong>g the <strong>UAE</strong>’s Arabian Gulf<br />
shoreline, since the ability of coastal systems to<br />
adapt to rising seas is inherently c<strong>on</strong>strained<br />
by the extensive human infrastructure found<br />
<strong>on</strong> the coast. At the same time, the human<br />
built envir<strong>on</strong>ment buffering those ecosystems<br />
face its own challenges from sea level rise. In<br />
the inundati<strong>on</strong> analysis, both ecosystems and<br />
human systems, and the extent to which they<br />
are vulnerable to four different scenarios of sea<br />
level rise are c<strong>on</strong>sidered. After a discussi<strong>on</strong> of<br />
the methodology is a descripti<strong>on</strong> of scenarios<br />
used and their results.<br />
4.2. Methodology<br />
Geographic Informati<strong>on</strong> Systems (GIS) was<br />
the main tool used in the analysis. GIS is a<br />
software tool that allows for the representati<strong>on</strong><br />
of data in spatial form, both in two dimensi<strong>on</strong>s<br />
and three dimensi<strong>on</strong>s. The use of this software<br />
will facilitate the management and integrati<strong>on</strong><br />
of data, the performance of advanced spatial<br />
analysis, modeling and automating certain<br />
processes, and displaying results in high-quality<br />
maps for presentati<strong>on</strong> purposes.<br />
The secti<strong>on</strong>s below reflect <strong>on</strong> previous attempts<br />
to use GIS in c<strong>on</strong>ducting a spatial assessment<br />
Figure 4-1. Depicti<strong>on</strong>s of two main sea level rise modeling strategies.<br />
34<br />
Climate Change Impacts, Vulnerability & Adaptati<strong>on</strong>