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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>

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