Metal pollution status and ecological risk assessment in marine sediments of the inner Izmit Bay

Tan, İbrahi̇m; Aslan, Ertuğrul

doi:10.1016/j.rsma.2019.100850

Cited by 12 publications

(5 citation statements)

References 36 publications

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“…The decrease in Chlorophyll-a values (primary production indicator) from the eastern basin to other regions is clearly evident and realistic in the Kriging model, because the interior basin has high pollutant load and low water circulation (Tuğrul and Morkoc, 1990). The eastern basin is influenced by industrial and domestic loads, particularly from the Kiraz (Kullar) and Kumla (Sarı) streams, and nutrient and chlorophyll-a levels confirm the findings (Figure 6) (Tan and Aslan, 2020). Secchi disc visibility is likewise lowered where chlorophyll-a levels are high.…”

Section: Resultssupporting

confidence: 74%

The Spatial Distribution of Selected Optical Active Components in the Gulf of Izmit Using Bivariate/Multivariate Regression Analysis

Sunar

Dervişoğlu²,

Yagmur

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Compared to traditional field-based (in-situ sampling) measurements, satellite-based remote sensing is an accurate, timely and cost-effective approach to monitor the dynamics of water bodies using images at different spatial and temporal scales. With satellite-based remote sensing techniques, qualitative measurements obtained directly from satellite images are integrated with in-situ measurements, enabling the establishment of spectral statistical relationships between satellite data and water quality physical indicators such as suspended solids, turbidity and chlorophyll-a. In this study, the spatial distribution of three water quality parameters (Chlorophyll-a (Chl-a), Secchi disk and Conductivity (EC)) which are optical active components (OAC) in the Gulf of Izmit were evaluated using in-situ water quality measurements, together with both field-spectroradiometer measurements and Sentinel-2 satellite imagery. In-situ water quality and field-spectroradiometer measurements were collected at the same date with the satellite overpass. Bivariate and multivariate regression models were established to analyse the correlation of in-situ water quality measurements with two different measurement datasets (i.e. satellite and spectroradiometer), and then the results were evaluated with two accuracy metrics Root Mean Square Error (RMSE) and Mean Absolute Error (MAE); and compared visually with the spatial distribution maps of the three water quality parameters generated by the ordinary Kriging interpolation method.

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Section: Resultssupporting

confidence: 74%

The Spatial Distribution of Selected Optical Active Components in the Gulf of Izmit Using Bivariate/Multivariate Regression Analysis

Sunar

Dervişoğlu²,

Yagmur

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In order to place the Marchica Lagoon in a regional context of trace-element pollution status, a comparison was made with other Mediterranean lagoons (Table 6). The comparison showed that the maximal concentrations of Pb, Zn, and Cu recorded in the Marchica Lagoon were higher than those in Bizerte Lagoon, as reported by Barhoumi et al (2016) [83]; Berre Lagoon, as reported by Arienzo et al (2013) [84]; Izmit Bay, as reported by Tan et al (2020) [85]; Prokopos Lagoon, as reported by Katsaros et al (2017) [86]; Málaga Bay, as reported by Castillo et al (2013) [13]; Santa Gilla Lagoon, as reported by Atzori et al (2018) [87]; Burullus Lake, as reported by Melegy et al (2019) [88]; and Gialova Lagoon, as reported by Kanellopoulos et al (2020) [89].…”

Section: Discussionmentioning

confidence: 57%

Seasonal and Spatial Patterns of Ecotoxicological Indices of Trace Elements in Superficial Sediments of the Marchica Lagoon Following Restoration Actions during the Last Decade

Oujidi

Bouch²,

Tahri

et al. 2021

Diversity

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Marchica Lagoon, a Ramsar site on the Mediterranean coast of Morocco, is experiencing the impacts of watershed pollution, which includes pollutants from the domestic, agricultural, industrial, and mining sectors. Restoration actions were undertaken around this lagoon during the last decade in order to protect its ecological value and to develop tourist activity. To conserve the biodiversity in the lagoon, it is important to assess the environmental state of this ecosystem. This study aims to evaluate the ecotoxicological state of sediments through the post restoration characterization of the trace elements Pb, Cu, Zn, Cr, Co, and Ba, as well as their correlation to the major elements, grain size, and total organic carbon, sampled during two campaigns (the wet and dry seasons of 2018) across a sampling network of thirteen stations. Multivariate analysis and ecotoxicological risk assessment of the trace elements using the sediment quality guidelines and five pollution indices (geoaccumulation index (Igeo), enrichment factor (EF), contamination factor (CF), pollution-load index (PLI), and mean effect range median quotient (m-ERM-Q)) revealed contamination of the lagoon by Pb, Zn, and Cu, and minimal pollution by Cr, Co, and Ba. The distribution of the biological-risk index reveals that four zones of the lagoon may present a high probability of toxicity, thus constituting potential risk areas for aquatic organisms: during the wet season, the area in the northwestern sandbar border, the southwest eutrophication zone, and the mouth of the stream valley conveying industrial discharges; and during dry season, the northwestern eutrophication zone. Despite the restoration actions achieved around the lagoon, the lead, zinc, and copper concentrations increased, and their variation was significant between group stations. The biodiversity conservation of Marchica Lagoon requires continuous monitoring and assessment, as well as the implementation of an integrated management plan with restoration actions, not only around the lagoon, but also at its watershed level.

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“…Sediment, generally composed of loose sand, clay, silt, and other soil particles, accumulates at the bottom of the water body or other settling regions. Sediments not only serve as carriers of pollutants but also function as potential secondary sources of contamination in the aquatic system (Zhai et al 2021; Tan et al 2020). Due to the limited absorption capacity of the sediment layer, they have the potential to continuously increase the metal concentrations in the water (Alahabadi and Malvandi 2018).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Assessing the Ecological Risk of Heavy Metals in River Surface Sediments: A Pollution Index Approach

Cihan,

Sezgin

2024

Preprint

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Due to climate change and pollution, potable water sources are declining, and potential water sources, especially those near major settlements, are becoming crucial. Monitoring of pollution levels and identifying sources are vital for sustainable water management. Sediment quality in water resources, indicating pollutants and their origins like heavy metals, is essential for environmental and human health. This study analyzed heavy metals (As, Cd, Co, Cr, Cu, Hg, Ni, Pb, Zn and Sc) in coastal sediment samples from the Goksu and Canakdere rivers, potential water sources for Istanbul and ecological risk parameters such as geo-accumulation index (Igeo), enrichment factor (EF), pollution load index (PLI), and potential ecological risk index (PERI) were utilized to determine sediment quality. Sediment samples were taken from 6 different points along each river in two periods representing the dry and wet seasons, resulting in a total of 24 samples. Metal analyses were performed using the Laser Ablation ICP-MS. Also, statistical analyses such as the Pearson Correlation Coefficient and Principal Component Analysis were employed to attempt to determine the origin of pollutants. According to the results of Igeo, EF, PLI, and PERI, it can be concluded that pollution is more pronounced, especially in areas with agricultural activities. In the wet season, pollutants carried by surface runoff were found to accumulate in the sediment, leading to significant pollution levels at some points. Additionally, according to the Pearson Correlation Coefficient and Principal Component Analyses, it can be inferred that Cd, Pb, and Zn likely originate from similar sources.

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Metal pollution status and ecological risk assessment in marine sediments of the inner Izmit Bay

Cited by 12 publications

References 36 publications

The Spatial Distribution of Selected Optical Active Components in the Gulf of Izmit Using Bivariate/Multivariate Regression Analysis

The Spatial Distribution of Selected Optical Active Components in the Gulf of Izmit Using Bivariate/Multivariate Regression Analysis

Seasonal and Spatial Patterns of Ecotoxicological Indices of Trace Elements in Superficial Sediments of the Marchica Lagoon Following Restoration Actions during the Last Decade

RETRACTED: Assessing the Ecological Risk of Heavy Metals in River Surface Sediments: A Pollution Index Approach

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