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Development of a process for harmful...

The George Washington University., Civil and Environmental Engineering.

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Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait./
Author:	Shuhaibar, Bassam N.
Description:	279 p.
Notes:	Adviser: Rumana Riffat.
Contained By:	Dissertation Abstracts International70-03B.
Subject:	Biology, Oceanography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350109
ISBN:	9781109072075

Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait.
Shuhaibar, Bassam N.

Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait. - 279 p.

Adviser: Rumana Riffat.

Thesis (Ph.D.)--The George Washington University, 2009.

The State of Kuwait is situated at the northwestern end of the Persian Gulf and has a population of 2.5 million people, the vast majority of whom live along the southeastern stretch of its 500 km coastline. Kuwait Bay, a shallow natural harbor situated at the eastern "mouth" of the country, lies within the euphotic zone year-round. It is exposed to many environmental stressors that originate from both point and non-point-sources, including marine aquaculture runoff and oil industry effluent. A combination of factors has led to a marked increase in harmful algal bloom (HAB) outbreaks over the past two decades resulting in high costs in both environmental and economic terms.

ISBN: 9781109072075Subjects--Topical Terms:

783691
Biology, Oceanography.

Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait.
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020 $a 9781109072075
035 $a (UMI)AAI3350109
035 $a AAI3350109
040 $a UMI $c UMI
100 1 $a Shuhaibar, Bassam N. $3 1021852
245 1 0 $a Development of a process for harmful algal bloom location prediction using GIS and trend analysis for the terrestrial waters of Kuwait.
300 $a 279 p.
500 $a Adviser: Rumana Riffat.
500 $a Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1872.
502 $a Thesis (Ph.D.)--The George Washington University, 2009.
520 $a The State of Kuwait is situated at the northwestern end of the Persian Gulf and has a population of 2.5 million people, the vast majority of whom live along the southeastern stretch of its 500 km coastline. Kuwait Bay, a shallow natural harbor situated at the eastern "mouth" of the country, lies within the euphotic zone year-round. It is exposed to many environmental stressors that originate from both point and non-point-sources, including marine aquaculture runoff and oil industry effluent. A combination of factors has led to a marked increase in harmful algal bloom (HAB) outbreaks over the past two decades resulting in high costs in both environmental and economic terms.
520 $a The objective of this study was to attempt to develop a process to identify potential HAB "hotspots" using GIS and Holt-Winters' Additive seasonal trend analysis techniques in an effort to isolate the areas that are most prone to a future HAB outbreak. ArcGIS and Crystal Ball software were used to process and analyze data provided by the Kuwait Environmental Public Authority. The main parameters analyzed in the study were ambient water surface temperature, N:P ratio and dissolved oxygen. Data was projected over a one-year period and subsequently used to generate monthly rasters (digital images) that outlined any HAB "hotspots" present for the given month.
520 $a The results showed that, although a broad snapshot of HAB-friendly conditions was produced for each month between May and October 2009, no specificity could be applied in the context of a definite algal outbreak. Further research is needed for a more accurate process to be developed, and this would be achievable with more frequent daily-represented data, a longer monitoring time and greater resource availability.
590 $a School code: 0075.
650 4 $a Biology, Oceanography. $3 783691
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Environmental Sciences. $3 676987
690 $a 0416
690 $a 0768
690 $a 0775
710 2 $a The George Washington University. $b Civil and Environmental Engineering. $3 1021851
773 0 $t Dissertation Abstracts International $g 70-03B.
790 $a 0075
790 1 0 $a Choudhury, Sayedul H. $e committee member
790 1 0 $a Manzari, Majid T. $e committee member
790 1 0 $a Riffat, Rumana, $e advisor
790 1 0 $a Roddis, Kim $e committee member
790 1 0 $a Tallent, Robert $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350109