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Review the following information from the article “A Cost-Benefit Analysis of the New Orleans Flood Protection System” by Stéphane Hallegatte (2005): Hallegatte, an environmentalist, assigns a probability (p) of a Katrina-like hurricane of 1/130 in his c

 

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Submitted by schoolbench on Fri, 2016-02-12 09:31
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THIS HAS BEEN GRADED A++++ USE AS A GUIDE

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xxxxxx xxx attached file

xxx xxxxxxx used xx a student. xxxxxxx are xxxxxxxx xxx xxx only xx a guide

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“x xxxxxxxxxxxx Analysis xx the New xxxxxxx xxxxx Protection xxxxxx”

•xxxxxxxx of the economics of xxx Orleans: xxxxxxxxxxxx Analysis (CBA)

xx are xxxxx the following xxxxxxxxxxxx

xxxxxxxxxxx for katrina like hurricane is xxxxx 1/130. xxx probability xxx xxxxx floods xxxxxxx xxxxxxx xxxx xxx xxxxxxxxxxx for katrina xxxx hurricane. Expected xxxxx xxx response xx xxxxxxx is xxxxx as $14billion in xxxx xxxxx expected xxxxx for xxxxxxxx xx xxxxxxx is xxxxx xxx billion in 2005. Probability of the xxxx xx xxx xxxxx or xxxxx xxx level is given xx xxxx xxx xxxxxxxxxxx for flood is xxxxx xx 63%.

For analysing the xxxx xxxxxxxx xxx above information write in xxx statistical xxxxx as xxxxxxx

xxxxxxxxxxxxxx xxxxxxxxxx x 1/130 = 0.007692

xxxxxxx xxxxxxx > xxxxx xx xxxxxxxx

xxxxxxxxxx katrina) x $14 billion [for 2010]

xxxxxxxxxx xxxxxxxx =$81 xxxxxxx [for 2005]

P(land below xx at xxx level) x xxx = xxxx

xxxxxxx floods) x xxx x 0.63

xx xxx xxxxxx

xxxxxxxxxxxxxx xxxxxxxxxx = 1/130 x 0.007692

xxx

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Submitted by amyjhon2013 on Tue, 2014-12-23 22:35
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Module 5: Assignment —The Case For, or Against, New Orleans

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xxx xxxx xxxx or xxxxxxxx New xxxxxxx

Throughout, this xxxxxx’x xxxxxxx xxxxx have xxxx xxxxxxxx xxxxxxxxx xx which xxxxxxx xxxxxxxxx xxxx created xxxxxxxx and xxxxx xxxxx xxxx xxxxxx appeared xx xx going xxxxxxx xxxx xx xxx xxxx when Hurricane xxxxxxx xxx xxx port city xx New xxxxxxxx xxxxxxxxx or the “Big Easy” as the city is commonly xxxxxx xx August xxx 2005, xxxxxxxxx Katrina struck a city xxxxx xx major fishing xxx tourism xxxxxxxxxxx xxx most of xxx xxxx xxxxxxxx xxxxxxx that xxx city xxx xxxx areas xx xxxxx and impecunious areas xxx xxxxxxx xxx xxxxxxxxxx xxxxxxx xxxxxxxxxxx xxx xxx xxx xxxxx to change. xxx xx much xxxxxxxx catastrophe xxxxxxxx the levees xxxxxx xxxxxxxxxx xxxx xxxx xxx of the xxxx in water causing xxxx xxxx xxxxxxxxxx xxx xxxx xxx billion in xxxxxxxx damages. xx xxxxxxxx xxx state xxxxxxxxxxx xxx xxxx xx close to xxx quarter xxxxxxx jobs.

xxx xxxxx struck xxxxxxxx at the xxxx of New xxxxxxxx xxx levees failed and record xxxxx xxxxxxxx xxxx over the city.

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Submitted by Good_Morning on Sat, 2015-10-31 06:08
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A Cost-Benefit Analysis of the New Orleans Flood Protection System

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A xxxxxxxxxxxx Analysis of the xxx Orleans xxxxx xxxxxxxxxx System

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“A xxxxxxxxxxxx Analysis of xxx New Orleans xxxxx Protection xxxxxx”

•xxxxxxxx of xxx xxxxxxxxx xx xxx Orleans: Cost-Benefit Analysis (CBA)

We xxx xxxxx xxx xxxxxxxxx information:

Probability xxx xxxxxxx like hurricane xx xxxxx 1/130. The probability xxx xxxxx floods xxxxxxx greater xxxx the xxxxxxxxxxx for katrina like xxxxxxxxxx Expected xxxxx xxx response xx xxxxxxx xx given xx xxxxxxxxxx in xxxx while expected value xxx response xx katrina xx given $81 xxxxxxx xx xxxxx Probability of xxx land xx xxx level xx below xxx level is given as xxxx The xxxxxxxxxxx xxx flood xx given as 63%.

xxx analysing the xxxx benefit, the above xxxxxxxxxxx write xx xxx statistical xxxxx as follow:

P(katrina-like xxxxxxxxxx = xxxxx x 0.007692

P(other xxxxxxx > xxxxx xx 0.007692

E(response xxxxxxxx = $14 xxxxxxx xxxx xxxxx

E(response xxxxxxxx =$81 billion [for xxxxx

P(land below xx at xxx level) x 50% x xxxx

xxxxxxx floods) = xxx = 0.63

xx are given,

P(katrina-like xxxxxxxxxx x 1/130 x 0.007692

So,

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