An overview of historical harmful algae blooms outbreaks in the Arabian Seas

Shehhi, Maryam R. Al; Gherboudj, Imen; Ghedira, Hosni

doi:10.1016/j.marpolbul.2014.06.048

Cited by 98 publications

(50 citation statements)

References 35 publications

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“…Along the east coast, diatom blooms were reported to prevail. The Centre for Marine Living Resources and Ecology (CMLRE) worked on algal blooms formation, their spread and ecological consequences on marine ecosystems (Padmakumar et al, 2012) and documented the records of 80 algal blooms (of which 27 were by Cyanobacteria) in the Indian EEZ during 1998-2010, A compre hensive overview of historical harmful algal blooms in the AS, their causes and impact, and seasonal variability was presented by Al Shehhi et al (2014), Blooms mostly occurred during withdrawal of south-west monsoon and/or in pre-monsoon period (D'Silva et al, 2012;Raghukumar and Anil, 2003;Patil and Anil. 2008), Enhanced phytoplankton growth and blooms usually occur just after the south-west to north-east monsoon transition in the BOB (Prasarmakumar et al, 2007).…”

Section: Eutrophication In Coastal/marine Scenariomentioning

confidence: 99%

Reactive Nitrogen in Coastal and Marine Waters of India and Its Relationship With Marine Aquaculture

Prema

Singh

Jeyabaskaran

et al. 2017

The Indian Nitrogen Assessment

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Section: Eutrophication In Coastal/marine Scenariomentioning

confidence: 99%

Reactive Nitrogen in Coastal and Marine Waters of India and Its Relationship With Marine Aquaculture

Prema

Singh

Jeyabaskaran

et al. 2017

The Indian Nitrogen Assessment

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“…For example, the Shatt al-Arab River discharges into the Gulf along the borders between Iran and Iraq. However, this freshwater input has reduced dramatically from the late nineties due to the draining of most of the Iraqi marshlands and the building of dams on Euphrates, Tigris and Karum rivers [30]. These conditions produce relatively low CDOM concentrations in the region (Al Shehhi et al, in preparation).…”

Section: Study Areamentioning

confidence: 99%

MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf

Kaabi¹,

Zhao²,

Ghedira³

2016

Remote Sensing

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Abstract:Regionally calibrated algorithms for water quality are strongly needed, especially for optically complex waters such as coastal areas in the Arabian Gulf. In this study, a regional qualitative algorithm was proposed to retrieve seawater transparency, with Secchi disk depth (SDD) as a surrogate, in the Arabian Gulf. A two-step process was carried out, first estimating the diffuse attenuation coefficient of downwelling irradiance at 490 nm (K d _490) from MODIS/Aqua imagery and then SDD based on empirical correlations with K d _490. Three satellite derived K d products were tested and assessed against a set of in situ measurements, and one from a semi-analytical algorithm based on inherent optical properties gave the best performance with a R 2 of 0.62. Comparisons between the performances of SDD models developed in this study and those established in other regions indicated higher accuracy of our proposed model for the Gulf region. The potential factors causing uncertainties of the proposed algorithm were also discussed. Seasonal and inter-annual variations of SDD over the entire Gulf were demonstrated using a 14-year time series of MODIS/Aqua data from 2002 to 2015. High SDD values were generally observed in summer while low values were found in winter. Inter-annual variations of SDD did not shown any significant trend with exceptions during algal bloom outbreaks that resulted in low SDD.

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“…Indeed, previous attempts have been limited to the spatio-temporal description of phytoplankton biomass [16,17], and detection of harmful algae blooms/red tide [18,19]. To acquire reliable information from the remotely sensed datasets, a comparison against in situ measurements in the Arabian Gulf is a prerequisite to effectively inferring marine primary productivity (or phytoplankton biomass) using remote-sensing information [16].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf

et al. 2017

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Abstract:The Arabian Gulf is a highly turbid, shallow sedimentary basin whose coastal areas have been classified as optically complex Case II waters (where ocean colour sensors have been proved to be unreliable). Yet, there is no such study assessing the performance and quality of satellite ocean-colour datasets in relation to ground truth data in the Gulf. Here, using a unique set of in situ Chlorophyll-a measurements (Chl-a; an index of phytoplankton biomass), collected from 24 locations in four transects in the central Gulf over six recent research cruises (2015-2016), we evaluated the performance of VIIRS and other merged satellite datasets, for the first time in the region. A highly significant relationship was found (r = 0.795, p < 0.001), though a clear overestimation in satellite-derived Chl-a concentrations is evident. Regardless of this constant overestimation, the remotely sensed Chl-a observations illustrated adequately the seasonal cycles. Due to the optically complex environment, the first optical depth was calculated to be on average 6-10 m depth, and thus the satellite signal is not capturing the deep chlorophyll maximum (DCM at~25 m). Overall, the ocean colour sensors' performance was comparable to other Case II waters in other regions, supporting the use of satellite ocean colour in the Gulf. Yet, the development of a regional-tuned algorithm is needed to account for the unique environmental conditions of the Gulf, and ultimately provide a better estimation of surface Chl-a in the region.

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An overview of historical harmful algae blooms outbreaks in the Arabian Seas

Cited by 98 publications

References 35 publications

Reactive Nitrogen in Coastal and Marine Waters of India and Its Relationship With Marine Aquaculture

Reactive Nitrogen in Coastal and Marine Waters of India and Its Relationship With Marine Aquaculture

MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf

Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf

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