A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE

This paper presentsthe outcomes of a studyon thewater qualityof Dubai Creek which aimed to assess its eutrophication status. Field water quality data from stations along the creek collected in 2012 and 2013 were used. Ordinary least squares (OLS) and spatial autocorrelation analyses were used as par...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ali, Tarig (author)
مؤلفون آخرون: Mortula, Maruf (author), Atabay, Serter (author), Navadeh, Ehsan (author)
التنسيق: article
منشور في: 2016
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/16306
الوسوم: إضافة وسم
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author Ali, Tarig
author2 Mortula, Maruf
Atabay, Serter
Navadeh, Ehsan
author2_role author
author
author
author_facet Ali, Tarig
Mortula, Maruf
Atabay, Serter
Navadeh, Ehsan
author_role author
dc.creator.none.fl_str_mv Ali, Tarig
Mortula, Maruf
Atabay, Serter
Navadeh, Ehsan
dc.date.none.fl_str_mv 2016
2018-11-04T08:51:14Z
2018-11-04T08:51:14Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Ali, Tarig, Maruf Mortula, Serter Atabay, and Ehsan Navadeh. "A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE." Water Quality Research Journal of Canada (2016): [Comment: SCI-INDEXED JOURNAL]
1201-3080
http://hdl.handle.net/11073/16306
10.2166/wqrjc.2015.020
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv IWA Publishing
dc.relation.none.fl_str_mv Water Quality Research Journal of Canada
https://iwaponline.com/wqrj/article-pdf/51/3/219/379290/wqrjc0510219.pdf
dc.subject.none.fl_str_mv Dubai creek
Exploratory regression
Multiple logistic regression
Spatial autocorrelation
Water quality
dc.title.none.fl_str_mv A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This paper presentsthe outcomes of a studyon thewater qualityof Dubai Creek which aimed to assess its eutrophication status. Field water quality data from stations along the creek collected in 2012 and 2013 were used. Ordinary least squares (OLS) and spatial autocorrelation analyses were used as part of geographic information system (GIS)-based exploratory regression analysis to study the relationship between chlorophyll-a and nutrients, specifically total nitrogen and phosphate. Multiple logistic regression analysis was used to study the vulnerability of the creek to eutrophication. Results showed unique trends of spatiotemporal variability of chlorophyll-a and nutrients. OLS modeling showed high correlation between field and modeled chlorophyll-a values between Al Garhoud Bridge and Sanctuary stations, located about 2 km upstream and downstream of the Sewage Treatment Plant (STP) Outfall station. Furthermore, results showed the lower half of the creek was more vulnerable to eutrophication than the upper, which was believed to be due to the location of the STP station, poor flushing, shallow water depth, and irregular circulation patterns in the creek. Accordingly, this study recommends development of a mitigation plan in order to control the levels of nutrients in the creek.
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identifier_str_mv Ali, Tarig, Maruf Mortula, Serter Atabay, and Ehsan Navadeh. "A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE." Water Quality Research Journal of Canada (2016): [Comment: SCI-INDEXED JOURNAL]
1201-3080
10.2166/wqrjc.2015.020
language_invalid_str_mv en_US
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network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/16306
publishDate 2016
publisher.none.fl_str_mv IWA Publishing
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repository.name.fl_str_mv
repository_id_str
spelling A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAEAli, TarigMortula, MarufAtabay, SerterNavadeh, EhsanDubai creekExploratory regressionMultiple logistic regressionSpatial autocorrelationWater qualityThis paper presentsthe outcomes of a studyon thewater qualityof Dubai Creek which aimed to assess its eutrophication status. Field water quality data from stations along the creek collected in 2012 and 2013 were used. Ordinary least squares (OLS) and spatial autocorrelation analyses were used as part of geographic information system (GIS)-based exploratory regression analysis to study the relationship between chlorophyll-a and nutrients, specifically total nitrogen and phosphate. Multiple logistic regression analysis was used to study the vulnerability of the creek to eutrophication. Results showed unique trends of spatiotemporal variability of chlorophyll-a and nutrients. OLS modeling showed high correlation between field and modeled chlorophyll-a values between Al Garhoud Bridge and Sanctuary stations, located about 2 km upstream and downstream of the Sewage Treatment Plant (STP) Outfall station. Furthermore, results showed the lower half of the creek was more vulnerable to eutrophication than the upper, which was believed to be due to the location of the STP station, poor flushing, shallow water depth, and irregular circulation patterns in the creek. Accordingly, this study recommends development of a mitigation plan in order to control the levels of nutrients in the creek.IWA Publishing2018-11-04T08:51:14Z2018-11-04T08:51:14Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAli, Tarig, Maruf Mortula, Serter Atabay, and Ehsan Navadeh. "A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE." Water Quality Research Journal of Canada (2016): [Comment: SCI-INDEXED JOURNAL]1201-3080http://hdl.handle.net/11073/1630610.2166/wqrjc.2015.020en_USWater Quality Research Journal of Canadahttps://iwaponline.com/wqrj/article-pdf/51/3/219/379290/wqrjc0510219.pdfoai:repository.aus.edu:11073/163062024-08-22T12:16:06Z
spellingShingle A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
Ali, Tarig
Dubai creek
Exploratory regression
Multiple logistic regression
Spatial autocorrelation
Water quality
status_str publishedVersion
title A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
title_full A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
title_fullStr A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
title_full_unstemmed A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
title_short A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
title_sort A GIS-based spatiotemporal study of the variability of water quality in the Dubai Creek, UAE
topic Dubai creek
Exploratory regression
Multiple logistic regression
Spatial autocorrelation
Water quality
url http://hdl.handle.net/11073/16306