Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing

A Master of Science thesis in Civil Engineering by Abdallah Raafat Bachir entitled, "Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing," submitted in January 2015. Thesis advisor is Dr. Md. Maruf Mortula and thesis co-advisor is Dr. Tarig...

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Main Author: Bachir, Abdallah Raafat (author)
Format: doctoralThesis
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/11073/7773
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author Bachir, Abdallah Raafat
author_facet Bachir, Abdallah Raafat
author_role author
dc.contributor.none.fl_str_mv Mortula, Maruf
Ali, Tarig
dc.creator.none.fl_str_mv Bachir, Abdallah Raafat
dc.date.none.fl_str_mv 2015-04-26T09:00:34Z
2015-04-26T09:00:34Z
2015-01
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2015.09
http://hdl.handle.net/11073/7773
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Algal blooms
Chlorophyll-a
Dubai Creek
Nutrients
Remote sensing
Remote sensing
Eutrophication
Chlorophyll
Algal blooms
Rivers
United Arab Emirates
Dubai (United Arab Emirates)
dc.title.none.fl_str_mv Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Civil Engineering by Abdallah Raafat Bachir entitled, "Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing," submitted in January 2015. Thesis advisor is Dr. Md. Maruf Mortula and thesis co-advisor is Dr. Tarig Ali. Available in both soft and hard copy.
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oai_identifier_str oai:repository.aus.edu:11073/7773
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spelling Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote SensingBachir, Abdallah RaafatAlgal bloomsChlorophyll-aDubai CreekNutrientsRemote sensingRemote sensingEutrophicationChlorophyllAlgal bloomsRiversUnited Arab EmiratesDubai (United Arab Emirates)A Master of Science thesis in Civil Engineering by Abdallah Raafat Bachir entitled, "Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing," submitted in January 2015. Thesis advisor is Dr. Md. Maruf Mortula and thesis co-advisor is Dr. Tarig Ali. Available in both soft and hard copy.The last few decades have witnessed an increase in the frequency and magnitude of the occurrences of algal blooms in coastal regions. A high increase in the levels of nutrients (phosphorus and nitrogen) in the water column leads to excessive algal growth, known as eutrophication. The presence of a large amount of algae normally turns water green or red in the case of Harmful Algal Blooms (HABs). Chlorophyll-a is the main indicator of algal blooms and its concentrations are used as indicators of the scale of an algal bloom. Nutrients have a major impact over algal blooms. Dubai Creek is a salt water body located in Dubai, UAE which divides the city into Bur Dubai and Deira. Due to high levels of human activities surrounding the creek, there have always been eutrophication concerns given the levels of nutrients in the creek. In the last few years, remote sensing algorithms have been developed to monitor algae in water bodies by mapping chlorophyll-a concentrations. The aim of this study was to map chlorophyll-a in the Dubai Creek from WorldView-2 imagery (high resolution satellite images) and to explore the relationship between chlorophyll-a and other eutrophication indicators. A geometrically and atmospherically corrected Worldview-2 image and in-situ data have been utilized to map chlorophyll-a in the creek. A spectral model was developed to retrieve chlorophyll-a concentrations from the WorldView-2 multispectral image. The model showed an R-squared value of 0.82 with in-situ chlorophyll-a data. Another model was developed for the relationship between the levels of spectral chlorophyll-a and total nitrogen and phosphates, which showed an R-squared value of 0.97. The developed models are to be used in the mapping of chlorophyll-a, total nitrogen, and phosphates without the need for expensive in-situ monitoring efforts since they will provide values of these parameters everywhere in the creek.College of EngineeringDepartment of Civil EngineeringMaster of Science in Civil Engineering (MSCE)Mortula, MarufAli, Tarig2015-04-26T09:00:34Z2015-04-26T09:00:34Z2015-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2015.09http://hdl.handle.net/11073/7773en_USoai:repository.aus.edu:11073/77732025-06-26T12:22:09Z
spellingShingle Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
Bachir, Abdallah Raafat
Algal blooms
Chlorophyll-a
Dubai Creek
Nutrients
Remote sensing
Remote sensing
Eutrophication
Chlorophyll
Algal blooms
Rivers
United Arab Emirates
Dubai (United Arab Emirates)
status_str publishedVersion
title Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
title_full Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
title_fullStr Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
title_full_unstemmed Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
title_short Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
title_sort Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
topic Algal blooms
Chlorophyll-a
Dubai Creek
Nutrients
Remote sensing
Remote sensing
Eutrophication
Chlorophyll
Algal blooms
Rivers
United Arab Emirates
Dubai (United Arab Emirates)
url http://hdl.handle.net/11073/7773