Marine pollution bulletin最新文献

{"title":"Incorporating habitat use and life history to predict PCB residues in wild fish in an urban estuary.","authors":"Joel C Hoffman, Tom Hollenhorst, Greg Peterson, Jonathon Launspach, Ellen Coffman, Lawrence Burkhard","doi":"10.1016/j.marpolbul.2024.117271","DOIUrl":"https://doi.org/10.1016/j.marpolbul.2024.117271","url":null,"abstract":"<p><p>Owing to the heterogenous distribution of contaminated sediments in urban estuaries, contaminant residues, such as polychlorinated biphenyls (PCBs), in fish tissue can vary widely. To investigate the relationship between PCBs in fish tissue and heterogeneity of PCBs in sediment, we developed a geospatial Biota-Sediment Accumulation Factor (BSAF) model for an urban estuary. The model predicts whole fish total PCB residues at a scale of 0.1 km² by incorporating sediment chemistry, fish home range, and habitat type. The model predicted concentrations from across the estuary ranging from 0 to 161,456 ng/g lipid. An estuary-wide (50+ km²) and a project-scale (1+ km²) field validation of the model demonstrated it produced values that were slightly skewed to low concentrations; performance improved with increased sediment data spatial coverage. We conclude this approach has potential for determining PCBs \"hot spot,\" estimating remediation project footprints, and evaluating potential remediation improvements to the quality of a fishery.</p>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 Pt B","pages":"117271"},"PeriodicalIF":5.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling environmental drivers and patterns of Portuguese man o' war (Physalia physalis) blooms in two ocean regions: North Atlantic and the Southeast Pacific.","authors":"Lara Colaço Martins, José Nuno Gomes-Pereira, Gisela Dionísio, Jorge Assis","doi":"10.1016/j.marpolbul.2024.117278","DOIUrl":"https://doi.org/10.1016/j.marpolbul.2024.117278","url":null,"abstract":"<p><p>Jellyfish blooms can significantly impact marine food webs, biochemical processes and human health, disrupting various economic sectors, including fisheries, aquaculture and tourism. Thus, understanding the regional drivers and patterns of jellyfish occurrence is key for developing effective management strategies. The Portuguese man o' war (Physalia physalis) is a hazardous, cosmopolitan siphonophore of particular concern, requiring a deeper ecological understanding to effectively guide mitigation efforts. Our study reveals that the occurrence of P. physalis in both the North Atlantic (Azores, Portugal) and the Southeast Pacific (Australian East Coast) is driven by region-specific wind patterns and increased primary productivity (>30 % model contribution), with warming conditions emerging as an additional occurrence driver on the Australian East Coast (∼20 % model contribution). These insights resulted from machine learning models (Boosted Regression Trees) trained with high-resolution environmental data against field data describing the temporal variability of P. physalis occurrence (North Atlantic: 2008-2021; Southeast Pacific: 2016-2020). The models achieved excellent predictive performance (AUC North Atlantic: 1.00; AUC Southeast Pacific: 0.92) and allowed hindcasting occurrences over 30 years, uncovering contrasting trends between the two regions, with decadal fluctuations in the Azores and a significant increase in occurrence over time on the Australian East Coast. Overall, we provide a better understanding of the drivers and patterns of P. physalis occurrence, which can support the development of coastal management strategies. Importantly, the anticipated changes in productivity and temperature conditions in both regions may result in increased blooms in the years to come, further exerting impacts on the ecosystems, human health, and the economy.</p>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 Pt B","pages":"117278"},"PeriodicalIF":5.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Very low sulfur fuel oil spilled from the MV Wakashio in 2020 remains in sediments in a Mauritius mangrove ecosystem nearly three years after the grounding.","authors":"Alan G Scarlett, Robert K Nelson, Marthe Monique Gagnon, Christopher M Reddy, Kliti Grice","doi":"10.1016/j.marpolbul.2024.117283","DOIUrl":"https://doi.org/10.1016/j.marpolbul.2024.117283","url":null,"abstract":"<p><p>The oil spill resulting from the grounding of the MV Wakashio on a reef off the coast of Mauritius in July 2020 was the world's first major spillage of Very Low Sulfur Fuel Oil (VLSFO) since the implementation of a Global Sulfur Cap from January 2020. In this study, we examine sediments collected in March 2023 from two Mauritius mangrove systems. Analyses by both gas chromatography-mass spectrometry and comprehensive two-dimensional gas chromatography confirmed, by comparison of molecular biomarkers, the presence of Wakashio VLSFO in one of the mangrove systems. The spilled oil had undergone extensive weathering resulting in substantial losses of toxic mono- and polycyclic aromatic compounds. Applying WebGNOME-ADIOS oil spill models to compare the fate of Wakashio VLSFO with traditional fuels suggests that more of the VLSFO would evaporate, naturally disperse, and undergo sedimentation compared to traditional fuels that were more likely to remain floating.</p>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 Pt B","pages":"117283"},"PeriodicalIF":5.3,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of water quality in the shallow coastal waters of the Persian Gulf","authors":"Hossein Barkhordar ,&nbsp;Gholamreza Mohammadpour ,&nbsp;Smaeyl Hassanzadeh ,&nbsp;Hajar Karemi","doi":"10.1016/j.marpolbul.2024.117263","DOIUrl":"10.1016/j.marpolbul.2024.117263","url":null,"abstract":"<div><div>Advanced satellite technology and algorithms are making substantial progress in meeting the need for improved environmental monitoring of coastal waterways. Integrating high-resolution satellites with in-situ radiometric equipment is essential for effectively monitoring algal blooms and managing coastal resources. Our work has built a model to examine geographical and temporal fluctuations in chlorophyll-<em>a</em> concentration in Bushehr Bay, Persian Gulf, Iran, using radiometric data and high-resolution remote sensing. In this study, we used twenty-four bio-optical features for analysis. After evaluating and selecting the most important features, we used the top five features to estimate chlorophyll-<em>a</em> concentration using machine learning algorithms. Likewise, the model could effectively investigate our climatology of chlorophyll in the study area. Our findings provide a dependable approach to monitor the environmental effect of chlorophyll-<em>a</em> and enhance water quality and regional management of primary production in coastal waters. This proposed proxy may be implemented in comparable places globally.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117263"},"PeriodicalIF":5.3,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges to and importance of considering early and intermediate ontogenetic stages in mangrove forest recovery and restoration","authors":"Taylor M. Sloey ,&nbsp;Sean P. Charles ,&nbsp;Lin Xiong ,&nbsp;Edward Castañeda-Moya ,&nbsp;Erik S. Yando ,&nbsp;David Lagomasino","doi":"10.1016/j.marpolbul.2024.117287","DOIUrl":"10.1016/j.marpolbul.2024.117287","url":null,"abstract":"<div><div>Early to intermediate ontogenetic stages of trees are important in forest regeneration. However, these critical life stages are often overlooked due to survey intensity and impracticality and/or disinterest in characterizing early life stage cohorts. This problem is particularly pervasive in mangrove forests where visibility of smaller stature trees may be limited by tidal flooding and younger cohorts are particularly vulnerable to changing hydrologic and biogeochemical conditions driven by climate change. Lacking data on early life stages in mangrove forests makes it difficult to predict ecosystem degradation and inform habitat resilience and restoration in one of the earth's most valuable blue carbon ecosystems. We identify challenges to collecting empirical data on early to intermediate age classes in mangroves and provide solutions to characterizing these cohorts. We emphasize the importance of gathering these data for improved understanding of forest regeneration dynamics and provide multi-scalar solutions to quantify vegetation structure of mangrove forest.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117287"},"PeriodicalIF":5.3,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pollution status and assessment of seven heavy metals in the seawater and sediments of Hangzhou Bay, China","authors":"Rong Zhu ,&nbsp;Yan-Yan Zeng ,&nbsp;Li-Min Liu ,&nbsp;Lu Yin ,&nbsp;Kai-Ping Xu ,&nbsp;Wei-Feng Chen ,&nbsp;Shang-Chun Li ,&nbsp;Xiao-Feng Zhou","doi":"10.1016/j.marpolbul.2024.117261","DOIUrl":"10.1016/j.marpolbul.2024.117261","url":null,"abstract":"<div><div>Hangzhou Bay, one of the fastest economy and population growth region in China, was heavily polluted by a large amounts of industrial waste water and domestic sewage containing harmful heavy metal pollutants. To investigate the status of heavy metals pollution and assess the ecological risks in Hangzhou Bay, seven heavy metals (Cu, Zn, Pb, Cd, Cr, Hg and As) concentrations of water and sediments were analyzed. Heavy metals concentrations in sediments close to the estuarine coast and nearshore area were higher than that in other areas. Cu, Zn, Pb, Cd, Cr and As in sediments might have extensive homologies and originate from the petroleum industry. The pollutions of Cu, Zn, Pb, Cd, Cr and As in seawater and sediment were very light or no pollution. Both in seawater and sediments, the Hg contamination was the most serious among the measured seven heavy metals and should be paid more attention.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117261"},"PeriodicalIF":5.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heavy metals in the continuous river−estuary−sea system of the Yellow River Delta, China: Spatial patterns, potential sources, and influencing factors","authors":"Jie Li ,&nbsp;Wanting Wang ,&nbsp;Xinlei Li ,&nbsp;Sen Liu ,&nbsp;Xuming Xu ,&nbsp;Yinglan A. ,&nbsp;Shilong Ren","doi":"10.1016/j.marpolbul.2024.117247","DOIUrl":"10.1016/j.marpolbul.2024.117247","url":null,"abstract":"<div><div>Present study investigated heavy metal pollution in the continuous upper river−estuary−sea systems of the Yellow River Delta (YRD). Significant seasonal differences (<em>p</em> &lt; 0.05) for the heavy metal overall profile were observed, although there were no significant spatial variations among the different water bodies. Positive matrix factorization indicated that heavy metals primarily originated from anthropogenic activities (e.g., oil field development, mining, and agricultural activities). Chemical oxygen demand, water temperature, electrical conductivity, dissolved oxygen, pH, and salinity influenced the distribution of heavy metals in water. The NO₃⁻ and total phosphorus concentrations were the main influencing factors in sediment, with both showing positive correlations with all heavy metals. Furthermore, low ecological risks were observed for sediment based on the values of the ecological risk and potential ecological risk indexes in the YRD. This study will assist with the effective control and management of heavy metal pollution in a continuous river−estuary−sea system.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117247"},"PeriodicalIF":5.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142644463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying and quantifying multiple pollution sources in estuaries using fluorescence spectra and gradient-based deep learning","authors":"Zhuangming Zhao ,&nbsp;Min Xu ,&nbsp;Yu Yan ,&nbsp;Shibo Yan ,&nbsp;Qiaoyun Lin ,&nbsp;Juan Xu ,&nbsp;Jing Yang ,&nbsp;Zhonghan Chen","doi":"10.1016/j.marpolbul.2024.117254","DOIUrl":"10.1016/j.marpolbul.2024.117254","url":null,"abstract":"<div><div>This study developed an intelligent method for identifying and quantifying water pollution sources in estuarine areas. It characterized the excitation-emission matrix (EEM) fluorescence spectra from seven end-members, including seawater, rainwater, and five pollution sources typical of these areas. A deep learning model was established to identify and quantify these pollution sources in mixed water bodies. The model was fed either the original EEM or a combined EEM and gradient input. The results indicated that the combined input enhanced classification and quantification accuracy; Although model accuracy declined with an increasing number of mixed pollution sources, the combined input still improved classification accuracy by 3.1 % to 6.8 %; When the proportion of rainwater and seawater was below 70 %, the model maintained a classification accuracy of 57.4 % with original input and 61.3 % with combined input, with root mean square error values for the pollution source proportion being 12.2 % and 11.4 %, respectively.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117254"},"PeriodicalIF":5.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Suspended sediment and reduced salinity decrease development success of early stages of Acropora tumida and Platygyra carnosa in a turbid coral habitat, Hong Kong","authors":"Taison Ka Tai Chang ,&nbsp;Billy Chun Ting Cheung ,&nbsp;Justin Chi Ho Leong ,&nbsp;Gerard F. Ricardo ,&nbsp;Jenny Tsz Ching Chan ,&nbsp;James Kar Hei Fang ,&nbsp;Peter J. Mumby ,&nbsp;Apple Pui Yi Chui","doi":"10.1016/j.marpolbul.2024.117255","DOIUrl":"10.1016/j.marpolbul.2024.117255","url":null,"abstract":"<div><div>Suspended sediment and salinity stresses may escalate under climate change in inshore turbid habitats. We test whether fertilization and embryonic development of <em>Acropora tumida</em> and <em>Platygyra carnosa</em> are less prone to both stressors in turbid coral habitats compared to thresholds reported in literature for species found in clear water reefs. Under optimal sperm concentration (10⁶ sperm mL⁻¹), fertilization of <em>A. tumida</em> declined by 50 % when exposed to combined sediment (92 mg L⁻¹) and salinity stresses. However, these stressors had no significant impact on <em>P. carnosa</em>. We found ∼20- and ∼ 7-fold increases in abnormal embryos for <em>A. tumida</em> and <em>P. carnosa</em>, respectively, under combined stressors. Furthermore, silicon-rich terrestrial-originated sediment caused 50 % larval mortality for <em>A. tumida</em> at a lower concentration of 53 mg L⁻¹. We showed that climate change-related salinity and sediment stresses may hinder coral reproduction and challenge coral recovery, questioning the coral survival in nearshore turbid habitats.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117255"},"PeriodicalIF":5.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term water quality assessment in coastal and inland waters: An ensemble machine-learning approach using satellite data","authors":"Murugan Karthick ,&nbsp;Palanisamy Shanmugam ,&nbsp;Gurunathan Saravana Kumar","doi":"10.1016/j.marpolbul.2024.117036","DOIUrl":"10.1016/j.marpolbul.2024.117036","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Accurate estimation of coastal and in-land water quality parameters is important for managing water resources and meeting the demand of sustainable development goals. The water quality monitoring based on discrete water sample analysis is limited to specific locations and becomes less effective to offer a synoptic view of the water quality variability at different spatial and temporal scales. The optical remote sensing techniques have proved their ability to provide a comprehensive and synoptic view of water quality parameters. In conjugation with other products, the optical remote sensing data products can be utilized for the effective management of water bodies while addressing the socio-economic issues faced by local governments and states. In recent years, multiple machine-learning (ML) models have been reported on the estimation of water quality using remote sensing data, but their performance is limited when extended to diverse water types within coastal and inland water environments. In this study, we present an ensemble machine-learning model for estimating the primary water quality parameters in coastal and inland waters, such as Chlorophyll-a (Chl-&lt;em&gt;a&lt;/em&gt;) concentration, colored dissolved organic matter (&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi&gt;CDOM&lt;/mi&gt;&lt;/msub&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mfenced&gt;&lt;mn&gt;440&lt;/mn&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/span&gt;), and Turbidity. It utilizes the in-situ measurements to train and optimize the ensemble machine-learning models for the spectral measurements data (400–700 nm) provided by MODIS-Aqua, Sentinel-2 Multi Spectral Instrument (MSI), and PlanetScope (Planet). To develop the prediction models, these in-situ measurements data were split into two parts: a training dataset (70 %) and a testing dataset (30 %). The ensemble machine-learning models were validated using the 5-fold cross-validation method. These models were trained and tested against distinct datasets encompassing a broad range of variations in water quality parameters collected from open ocean, coastal and inland waters. The validation results demonstrated a superior performance of the present ensemble ML models compared to other ML models (Chl-&lt;em&gt;a&lt;/em&gt;: R&lt;sup&gt;2&lt;/sup&gt; = 0.96, RMSE = 4.93, MAE = 2.89; &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi&gt;CDOM&lt;/mi&gt;&lt;/msub&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;mfenced&gt;&lt;mn&gt;440&lt;/mn&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/span&gt;: R&lt;sup&gt;2&lt;/sup&gt; = 0.93, RMSE = 0.057, MAE = 0.025; Turbidity: R&lt;sup&gt;2&lt;/sup&gt; = 0.95, RMSE = 4.52, MAE = 1.009). To realize the importance of this study, the ensemble ML models were applied to MODIS-Aqua monthly composite measurements from 2003 to 2022 and captured pronounced seasonal variations in water quality parameters (WQP) and Water Quality Index (WQI). For instance, in the Gulf of Khambhat, turbidity decreased at an annual average rate of ∼0.08 NTU and Chl-&lt;em&gt;a&lt;/em&gt; increased at an annual average rate of ∼0.004 mg m&lt;sup&gt;−3&lt;/sup&gt; for the past 20 years. Furthermore, we investigated the occurrences of &lt;em&gt;Noctiluca scintillans&lt;/em&gt; (here after &lt;em&gt;N. s","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"209 ","pages":"Article 117036"},"PeriodicalIF":5.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}