A study of Physicochemical Parameters, Heavy Metals and Algae in the Euphrates River, Iraq Article Swipe
Aasim Jasim Hussein
,
Mustafa Nuhad Al-Darraji
,
Mohammed Rasheed
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/1262/2/022007
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/1262/2/022007
For many individuals, heavy metal persistence and toxicity are severe problems. Most of these heavy metals collect in wastewater from effluents discharged by various industries. The efficient re-use of these particles as catalysts is another new development in research that complements the success of hazardous metal particle removal. Five locations along the Euphrates River in western Iraq’s Anbar Governorate were the subject of the research (Husaibah Al-Sharqiah, Al-Karābilah, Barwana, Al-Garma, Al-Forat sub district) and for four seasons (Summer, Autumn, Winter, and Spring) from November 2021 to November 2022 in order to examine how the physical and chemical characteristics of the water in the Euphrates River vary over space and time in these areas. Based on these locations of garbage, contaminants, and heavy metal components that may flow into the river without environmental management, sampling locations on the Euphrates River were chosen. In order to better understand the distribution of heavy metals (HMs: Arsenic (As), Antimony (Sb), Selenium (Se), Molybdenum (Mo), Cyanide (CN-), and Chromium (Cr) in river sediments, five locations in western Iraq were chosen for the research. The PH, electrical conductivity (EC), algaes, and sediments (Nitrate (NO 3 ), sulfate (SO 4 ), and HMs content) were all measured in the river’s edge water. A qualitative research was also carried out at various times of year and locations. 104 different kinds of algae were found, and some of them dominated all the research locations. In each station near the beginning of the estuary, the quantitative research revealed a rise in the number of algae species indicative of pollution, confirming that these sites are impacted by the pollutants from untreated sewage discharged into the Euphrates River in those locations. The average concentrations of HMs and compounds in the sediments were as follows: SO 4 > NO 3 >Mo>Cn>Cr>Sb>Se>As. According to the investigation, the HMs polluted cities in the following ways: Sediment concentrations are greater in Husaibah Al-Sharqiah, Al-Karbilah, Barwana, Al-Garma, and Al-Forat subdistrict cities.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/1262/2/022007
- OA Status
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- Cited By
- 2
- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4389737135Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1755-1315/1262/2/022007Digital Object Identifier
- Title
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A study of Physicochemical Parameters, Heavy Metals and Algae in the Euphrates River, IraqWork title
- Type
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-12-01Full publication date if available
- Authors
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Aasim Jasim Hussein, Mustafa Nuhad Al-Darraji, Mohammed RasheedList of authors in order
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https://doi.org/10.1088/1755-1315/1262/2/022007Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1755-1315/1262/2/022007Direct OA link when available
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Environmental science, Heavy metals, Arsenic, Effluent, Contamination, Environmental engineering, Environmental chemistry, Chemistry, Ecology, Biology, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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62Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5039080235 |
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| corresponding_institution_ids | https://openalex.org/I1294671590, https://openalex.org/I171256487, https://openalex.org/I4210137122, https://openalex.org/I49451733 |
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| sustainable_development_goals[0].display_name | Clean water and sanitation |
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| citation_normalized_percentile.is_in_top_10_percent | True |