Numerical simulation of Dissolved Oxygen as a water quality indicator in artificial lagoons—Case​ study El Gouna, Egypt

Abouelsaad, Omnia; Matta, Elena; Omar, Mohie ElDin M.; Hinkelmann, Reinhard

doi:10.1016/j.rsma.2022.102697

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…As DO is a non-optically sensitive parameter, its relationship with satellite data is complex. Therefore, many studies use machine learning methods, such as support vector regression (SVR), artificial neural networks (ANN), and random forests (RF) to estimate DO levels [1][2][3][4]. However, based on prior explorations of the relationships between the Chl-a concentration, SST, and DO concentration, in this study, the aim was to develop an inversion model for DO concentrations along the ZCW.…”

Section: Modeling Methodsmentioning

confidence: 99%

“…Dissolved oxygen (DO) in the ocean mainly originates from air and vegetation in the water, and DO is a crucial variable for understanding ocean life and chemistry [1]. DO is important for marine science, fish farming, and water quality assessments [2][3][4]. Since the mid-20th century, declining coastal DO concentrations have become increasingly severe.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

Dong,

Wang,

Song

et al. 2024

Remote Sensing

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The Zhejiang coastal waters (ZCW), which exhibit various turbidity levels, including low, medium, and high turbidity levels, are vital for regional ecological balance and sustainable marine resource utilization. Dissolved oxygen (DO) significantly affects marine organism survival and ecosystem health, yet there is limited research on remote sensing monitoring of DO in the ZCW, and the underlying mechanisms are unclear. This study addresses this gap by utilizing high-resolution Landsat 8/9 imagery and sea surface temperature (SST) data to develop a multiple linear regression (MLR) model for DO estimation. Compared to previous studies that utilize remote sensing band reflectance data as inputs, the results show that the red and blue bands are more suitable for establishing DO inversion models for such water bodies. The model was applied to analyze variations in the DO concentrations in the ZCW from 2013 to 2023, with a focus on Hangzhou Bay (HZB), Xiangshan Bay (XSB), Sanmen Bay (SMB), and Yueqing Bay (YQB). The temporal and spatial distributions of DO concentrations and their relationships with environmental factors, such as chlorophyll-a (Chl-a) concentrations, total suspended matter (TSM) concentrations, and thermal effluents, are analyzed. The results reveal significant seasonal fluctuations in DO concentrations, which peak in winter (e.g., 9.02 mg/L in HZB) and decrease in summer (e.g., 6.83 mg/L in HZB). Changes in the aquatic environment, particularly in the thermal effluents from the Sanmen Nuclear Power Plant (SNPP), significantly decrease coastal dissolved oxygen (DO) concentrations near drainage outlets. Chl-a and TSM directly or indirectly affect DO concentrations, with notable correlations observed in XSB. This study offers a novel approach for monitoring and managing water quality in the ZCW, facilitating the early detection of potential hypoxia issues in critical zones, such as nuclear power plant heat discharge outlets.

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Section: Modeling Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

Dong,

Wang,

Song

et al. 2024

Remote Sensing

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“…Meanwhile, in [16], a submersible microbial fuel cell proved to be effective with an external resistance of 1000 Ω to determine DO-level monitoring in various environmental waters. Another option is the use of remote sensing, as proposed in [17], to monitor DO levels, using numerical simulation algorithms of DO concentrations, using the TELEMAC-WAQTEL-O2 model. In addition to these works mentioned, in [18], they proposed a cost-effective, accessible, and sustainable system for measuring the DO levels present in bodies of water based on a sensor for oxygen saturation in human blood.…”

Section: Related Workmentioning

confidence: 99%

UV Absorption Spectrum for Dissolved Oxygen Monitoring: A Low-Cost Proposal for Water Quality Monitoring

Miura,

Parra,

Lloret

et al. 2023

Photonics

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One of the key indicators of water quality is dissolved oxygen. Even though oxygen is important in environmental monitoring, the sensors for dissolved oxygen are expensive and require periodic maintenance due to the use of membranes. In this paper, we propose using ultraviolet light absorption to estimate dissolved oxygen saturation in water samples. The absorption spectrum of dissolved oxygen in the ultraviolet range is investigated over a water matrix with different levels of complexity. First, the difference between different water matrixes is studied. The results indicate similar variations between river water and tap water matrices for comparative purposes. Both samples present much higher absorbance signals than distilled water. Thus, the rest of the tests were performed with only three water matrixes (ultrapure, distilled, and river water). By aerating, water samples were completely saturated. Then, nitrogen gas was used to remove dissolved oxygen from samples to obtain saturations of 75, 50, 25, and 3%. The absorption was measured from 190 to 380 nm, using LLG-uniSPEC 2. The obtained data were used to generate regression models for selected wavelengths (190, 210, 240, and 250 nm). The differences beyond 260 nm for the studied dissolved oxygen saturations were null. The generated models had correlation coefficients from 0.99 to 0.97 for ultrapure water, 0.98 to 0.95 for distilled water, and 0.90 to 0.83 for river water. The maximum differences were found between samples with 75 and 100% of saturation.

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“…Aquatic life forms need oxygen for their survival and optimal functioning within aquatic environments. The measurement of DO is widely recognised as a crucial parameter, playing an essential role in the maintenance of aquatic ecosystems and contributing to various metabolic processes (Abouelsaad et al, 2022).…”

Section: Biological Indicator Monitoringmentioning

confidence: 99%

Water Quality Monitoring for Trophic State of Tasik Kemajuan, Universiti Tun Hussein Onn Malaysia

Azman,

Hamdan,

Md Ali

et al. 2023

IJSCET

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Aquatic ecosystems offer several ecosystem services, including water purification, nutrient recycling, flood reduction, groundwater recharge, irrigation, and animal habitats. One of the most prevalent challenges freshwater systems face globally is eutrophication. Eutrophication refers to the process of increasing the concentration of plant nutrients in water. The Carlson's Trophic State Index (CTSI) categorises an aquatic environment's eutrophication condition. The parameters exclusively employ three water quality parameters, which are Secchi Disc Transparency (SD), Total Phosphorus (TP), and Chlorophyll-a (Chl-a). Biological indicators refer to living organisms, such as plants and macroinvertebrates, that are implemented to identify and assess the presence of pollutants within a specific ecosystem. Therefore, this study focuses on the determination of trophic state and the assessment of biological indicators of Tasik Kemajuan. Water samples were collected for nine weeks using the composite sampling method for laboratory analysis. Water transparency was determined using a Secchi Disc. The Chl-a was determined by using the determination of chlorophyll-a using 90% methanol and measuring the absorption using a Hach DR6000 UV VIS Spectrophotometer at 663 nm and 750 nm, while the Total Phosphorus was determined by using USEPA1 PhosVer® 3 with Acid Persulfate Digestion Method (Method 8190). Tasik Kemajuan exhibited eutrophic conditions over the duration of the nine-week period. The CTSI values exhibited a range of 60 to 80, thereby demonstrating that the water body under consideration is in a state of eutrophication. The Red Claw Crawfish (Cherax Quadricarinatus), Amona Prawn (Caridina Multidentata), Freshwater Snail (Viviparidae), Tiger Barb (Puntius Tetrazona), and Waterlily (Nymphaeaceae) are among the biological indicators found in Tasik Kemajuan. In conclusion, the analysis of the result shows that the Tasik Kemajuan is in an eutrophic condition, which has high amounts of algae growth, and the bottom waters are seriously depleted in oxygen.

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Numerical simulation of Dissolved Oxygen as a water quality indicator in artificial lagoons—Case study El Gouna, Egypt

Cited by 8 publications

References 35 publications

Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

UV Absorption Spectrum for Dissolved Oxygen Monitoring: A Low-Cost Proposal for Water Quality Monitoring

Water Quality Monitoring for Trophic State of Tasik Kemajuan, Universiti Tun Hussein Onn Malaysia

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Numerical simulation of Dissolved Oxygen as a water quality indicator in artificial lagoons—Case​ study El Gouna, Egypt

Cited by 8 publications

References 35 publications

Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

Monitoring Dissolved Oxygen Concentrations in the Coastal Waters of Zhejiang Using Landsat-8/9 Imagery

UV Absorption Spectrum for Dissolved Oxygen Monitoring: A Low-Cost Proposal for Water Quality Monitoring

Water Quality Monitoring for Trophic State of Tasik Kemajuan, Universiti Tun Hussein Onn Malaysia

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Numerical simulation of Dissolved Oxygen as a water quality indicator in artificial lagoons—Case study El Gouna, Egypt