Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117640
Tania Alonso-Vásquez , Camilla Fagorzi , Alessio Mengoni , Matteo Oliva , Duccio Cavalieri , Carlo Pretti , Lisa Cangioli , Giovanni Bacci , Alberto Ugolini
Ports are hot spots of pollution; they receive pollution from land-based sources, marine traffic and port infrastructures. Marine ecosystems of nearby areas can be strongly affected by pollution from port-related activities. Here, we investigated the microbiomes present in sea floor sediments along a transect from the harbour of Livorno (Central Italy) to a nearby marine protected area. Results of 16S rRNA amplicon sequencing and metagenome assembled genomes (MAGs) analyses indicated the presence of different trends of specific bacterial groups (e.g. phyla NB1-j, Acidobacteriota and Desulfobulbales) along the transect, correlating with the measured pollution levels. Human pathogenic bacteria and antibiotic resistance genes (ARGs) were also found. These results demonstrate a pervasive impact of human port activities and highlight the importance of microbiological surveillance of marine sediments, which may constitute a reservoir of ARGs and pathogenic bacteria.
{"title":"Metagenomic surveys show a widespread diffusion of antibiotic resistance genes in a transect from urbanized to marine protected area","authors":"Tania Alonso-Vásquez , Camilla Fagorzi , Alessio Mengoni , Matteo Oliva , Duccio Cavalieri , Carlo Pretti , Lisa Cangioli , Giovanni Bacci , Alberto Ugolini","doi":"10.1016/j.marpolbul.2025.117640","DOIUrl":"10.1016/j.marpolbul.2025.117640","url":null,"abstract":"<div><div>Ports are hot spots of pollution; they receive pollution from land-based sources, marine traffic and port infrastructures. Marine ecosystems of nearby areas can be strongly affected by pollution from port-related activities. Here, we investigated the microbiomes present in sea floor sediments along a transect from the harbour of Livorno (Central Italy) to a nearby marine protected area. Results of 16S rRNA amplicon sequencing and metagenome assembled genomes (MAGs) analyses indicated the presence of different trends of specific bacterial groups (e.g. phyla NB1-j, Acidobacteriota and Desulfobulbales) along the transect, correlating with the measured pollution levels. Human pathogenic bacteria and antibiotic resistance genes (ARGs) were also found. These results demonstrate a pervasive impact of human port activities and highlight the importance of microbiological surveillance of marine sediments, which may constitute a reservoir of ARGs and pathogenic bacteria.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117640"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117526
Chukwujindu M.A. Iwegbue , Eze W. Odali , Marian Reuben-Okoye , Chinedu J. Ossai , Ijeoma F. Ogwu , Chijioke Olisah , Bice S. Martincigh
Organochlorine pesticides (OCPs) and polybrominated diphenyl ethers (PBDEs) are halogenated organic compounds of special interest because of their persistent, pervasive and exceptionally toxic nature. Sediments collected in the vicinity of petroleum production facilities in the Escravos River basin (ERB) of Nigeria were analyzed for 20 OCPs and 39 PBDEs by gas chromatography–mass spectrometry (GC–MS). The OCP concentrations in the ERB sediments varied from 0.69 to 10.7 ng g−1 (mean = 5.65 ng g−1), while those of the Σ39 PBDEs ranged between 0.19 and 435 ng g−1 (mean = 39.1 ng g−1). The OCP class profiles in the sediments followed the order: Drins > Chls > DDTs > Endos > HCHs, while those of the PBDEs were in the order: tetra- > penta- > hexa- > tri- > hepta- > di- > mono- > deca-BDE. The ecological risk assessment suggests rare adverse effects for OCPs in the ERB sediments and potential adverse effects for penta-BDEs in the sediments. The results from the carcinogenic risk assessment suggest that human exposure to OCPs in the majority of the sites can be of moderate carcinogenic risk, while there is no risk for exposure to PBDEs in the sediments. The source analyses reflect the prominence of historically used sources over recent inputs for OCPs, while those of PBDEs reflect products of debromination of higher BDEs and the use of penta-BDEs rather than the deca-PBE mixture in the region.
{"title":"Organochlorine pesticides and polybrominated diphenyl ethers in sediments around oil production facilities in the Escravos River basin, Nigeria: Implications for ecological and human health risk","authors":"Chukwujindu M.A. Iwegbue , Eze W. Odali , Marian Reuben-Okoye , Chinedu J. Ossai , Ijeoma F. Ogwu , Chijioke Olisah , Bice S. Martincigh","doi":"10.1016/j.marpolbul.2025.117526","DOIUrl":"10.1016/j.marpolbul.2025.117526","url":null,"abstract":"<div><div>Organochlorine pesticides (OCPs) and polybrominated diphenyl ethers (PBDEs) are halogenated organic compounds of special interest because of their persistent, pervasive and exceptionally toxic nature. Sediments collected in the vicinity of petroleum production facilities in the Escravos River basin (ERB) of Nigeria were analyzed for 20 OCPs and 39 PBDEs by gas chromatography–mass spectrometry (GC–MS). The OCP concentrations in the ERB sediments varied from 0.69 to 10.7 ng g<sup>−1</sup> (mean = 5.65 ng g<sup>−1</sup>), while those of the Σ39 PBDEs ranged between 0.19 and 435 ng g<sup>−1</sup> (mean = 39.1 ng g<sup>−1</sup>). The OCP class profiles in the sediments followed the order: Drins > Chls > DDTs > Endos > HCHs, while those of the PBDEs were in the order: tetra- > penta- > hexa- > tri- > hepta- > di- > mono- > deca-BDE. The ecological risk assessment suggests rare adverse effects for OCPs in the ERB sediments and potential adverse effects for penta-BDEs in the sediments. The results from the carcinogenic risk assessment suggest that human exposure to OCPs in the majority of the sites can be of moderate carcinogenic risk, while there is no risk for exposure to PBDEs in the sediments. The source analyses reflect the prominence of historically used sources over recent inputs for OCPs, while those of PBDEs reflect products of debromination of higher BDEs and the use of penta-BDEs rather than the deca-PBE mixture in the region.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117526"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176637","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}
Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117629
Marta Dias , Busenur Özkan , João Ramos , António Marques , Rui Rosa , Pedro Reis Costa , Ana Luísa Maulvault
Climate change is increasing marine heatwaves (MHWs) frequency and severity worldwide. These extreme events often cause bivalves' mass mortality and facilitate the growth, proliferation and dispersion of toxin-producing microalgae blooms associated with threats to seafood safety. Yet, the interactive effects between MHW and uptake of marine biotoxins by biota are a novel topic still lacking thorough research, from both the ecotoxicological and seafood safety standpoints. This study assessed the effects of a MHW event on the accumulation/elimination dynamics of diarrhetic shellfish toxins in Mytilus galloprovincialis exposed to Prorocentrum lima and the ecotoxicological responses of mussels co-exposed to these two stressors. Results showed that acute exposure to +4 °C reduced toxins accumulation (−49 %) and elimination (−77 %) compared to control temperature. Moreover, exposure to MHW and toxins affected mussels' antioxidant activity, lipid and protein damage, and metabolism in a tissue-specific manner. These findings highlight that M. galloprovincialis can face higher vulnerability to toxins when MHW events strike.
{"title":"Hot and toxic: Accumulation dynamics and ecotoxicological responses of mussel Mytilus galloprovincialis exposed to marine biotoxins during a marine heatwave","authors":"Marta Dias , Busenur Özkan , João Ramos , António Marques , Rui Rosa , Pedro Reis Costa , Ana Luísa Maulvault","doi":"10.1016/j.marpolbul.2025.117629","DOIUrl":"10.1016/j.marpolbul.2025.117629","url":null,"abstract":"<div><div>Climate change is increasing marine heatwaves (MHWs) frequency and severity worldwide. These extreme events often cause bivalves' mass mortality and facilitate the growth, proliferation and dispersion of toxin-producing microalgae blooms associated with threats to seafood safety. Yet, the interactive effects between MHW and uptake of marine biotoxins by biota are a novel topic still lacking thorough research, from both the ecotoxicological and seafood safety standpoints. This study assessed the effects of a MHW event on the accumulation/elimination dynamics of diarrhetic shellfish toxins in <em>Mytilus galloprovincialis</em> exposed to <em>Prorocentrum lima</em> and the ecotoxicological responses of mussels co-exposed to these two stressors. Results showed that acute exposure to +4 °C reduced toxins accumulation (−49 %) and elimination (−77 %) compared to control temperature. Moreover, exposure to MHW and toxins affected mussels' antioxidant activity, lipid and protein damage, and metabolism in a tissue-specific manner. These findings highlight that <em>M. galloprovincialis</em> can face higher vulnerability to toxins when MHW events strike.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117629"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117586
Zhaonian Qu , Tanvir Al Farid , Scott Socolofsky , Timothy Steffek , Michel Boufadel
This study explores the formation of oil droplets (dispersion) using a water jet, labeled herein subsurface mechanical dispersion (SSMD), as an alternative to chemical dispersants for mitigating impacts from subsea oil releases. Utilizing Reynolds-Averaged Navier-Stokes (RANS) and Mixture equations (a multiphase model to calculate the oil volume fraction) within the CFD model Fluent, both small-scale (a 1.0 mm oil orifice diameter and 0.17 mm water jet orifice diameter) and large-scale simulations (oil diameter = 0.5 m and water diameter = 0.05 m) were conducted. Four metrics were used to evaluate the dispersion potential: spatial spread of the oil; the maximum stable diameter of oil droplets, D95; and two metrics that depend on the product of the energy dissipation rate and the holdup (ratio of oil volume to total volume in each cell). The spreading and distribution of oil was quantified in the whole domain of the corresponding simulation. The remaining metrics were evaluated in both the area at the intersection of the oil plume and the water jet, and along the main trajectory of flow. For the small-scale experiment, the simulation results showed good agreement with laboratory observations in terms of oil plume deflection and droplet sizes. At the large-scale, the simulations suggested that SSMD reduced the D95 by 40 % and 80 % for water flow rates that are 17 % and 55 % of the oil rate, respectively. The results suggest that a water jet, at a sufficiently large flowrate, could be a viable technology for initial dispersion of oil spill during response. Further research, including experimental validation and detailed simulations, is needed to ascertain the full potential of SSMD, especially for oil releases containing gas.
{"title":"Simulation of subsurface mechanical dispersion (SSMD) of oil by a water jet","authors":"Zhaonian Qu , Tanvir Al Farid , Scott Socolofsky , Timothy Steffek , Michel Boufadel","doi":"10.1016/j.marpolbul.2025.117586","DOIUrl":"10.1016/j.marpolbul.2025.117586","url":null,"abstract":"<div><div>This study explores the formation of oil droplets (dispersion) using a water jet, labeled herein subsurface mechanical dispersion (SSMD), as an alternative to chemical dispersants for mitigating impacts from subsea oil releases. Utilizing Reynolds-Averaged Navier-Stokes (RANS) and Mixture equations (a multiphase model to calculate the oil volume fraction) within the CFD model Fluent, both small-scale (a 1.0 mm oil orifice diameter and 0.17 mm water jet orifice diameter) and large-scale simulations (oil diameter = 0.5 m and water diameter = 0.05 m) were conducted. Four metrics were used to evaluate the dispersion potential: spatial spread of the oil; the maximum stable diameter of oil droplets, D95; and two metrics that depend on the product of the energy dissipation rate and the holdup (ratio of oil volume to total volume in each cell). The spreading and distribution of oil was quantified in the whole domain of the corresponding simulation. The remaining metrics were evaluated in both the area at the intersection of the oil plume and the water jet, and along the main trajectory of flow. For the small-scale experiment, the simulation results showed good agreement with laboratory observations in terms of oil plume deflection and droplet sizes. At the large-scale, the simulations suggested that SSMD reduced the D95 by 40 % and 80 % for water flow rates that are 17 % and 55 % of the oil rate, respectively. The results suggest that a water jet, at a sufficiently large flowrate, could be a viable technology for initial dispersion of oil spill during response. Further research, including experimental validation and detailed simulations, is needed to ascertain the full potential of SSMD, especially for oil releases containing gas.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117586"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176636","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}
Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117613
Bradley T. McGuire , Marta P. Sanderson , Juliette L. Smith , Christopher J. Gobler
Filter feeding bivalves exposed to the harmful algal bloom (HAB) genus, Dinophysis, become intoxicated by the uptake of diarrhetic shellfish toxins (DSTs) produced by these phytoplankton. Here, three species of bivalve (Crassostrea virginica, Mercenaria mercenaria, and Mytilus edulis) native to the western North Atlantic were exposed to two North American strains of toxigenic Dinophysis acuminata to assess the impacts of cell density, cell density as a fraction of the total plankton community, and differing Dinophysis prey (i.e. strains of the ciliate, Mesodinium rubrum) on bivalve clearance rates. All bivalves cleared D. acuminata faster when the dinoflagellate was offered at moderate densities (10,000 cells L−1) as compared to high densities (100,000 cells L−1). C. virginica cleared a more toxic Massachusetts strain of D. acuminata significantly faster than a less toxic New York strain (p < 0.05). When presented with Dinophysis in mixed culture with the non-HAB species, Rhodomonas salina, in varying proportions, C. virginica clearance rates slowed significantly as the relative and absolute abundance of D. acuminata increased (p < 0.05), whereas M. edulis displayed a preference for the algae that was more abundant. While C. virginica and M. edulis cleared R. salina significantly faster than M. mercenaria (p < 0.05), there were no differences in the clearance rates of D. acuminata among bivalves. In an additional experiment where M. edulis was exposed to a constant, density (∼ 15,000 cells L−1) of D. acuminata for 36 h and then fed a non-toxic food source for 24 h to quantify toxin accumulation and depuration, mussels rapidly accumulated DSTs and pectenotoxins (PTXs) during exposure to Dinophysis but depurated PTXs at a rate 3–14 times faster than DSTs (p = 0.07). Collectively, this study demonstrates that the accumulation of DSTs in bivalves varies as a function of D. acuminata density, species, and strain, and that feeding characteristics of, and toxin dynamics within, M. edulis make it more vulnerable to DST accumulation than C. virginica and a likely DST vector in bloom-prone regions.
{"title":"Clearance rates and diarrhetic shellfish toxin accumulation by North Atlantic bivalves fed on North American strains of Dinophysis acuminata","authors":"Bradley T. McGuire , Marta P. Sanderson , Juliette L. Smith , Christopher J. Gobler","doi":"10.1016/j.marpolbul.2025.117613","DOIUrl":"10.1016/j.marpolbul.2025.117613","url":null,"abstract":"<div><div>Filter feeding bivalves exposed to the harmful algal bloom (HAB) genus, <em>Dinophysis</em>, become intoxicated by the uptake of diarrhetic shellfish toxins (DSTs) produced by these phytoplankton. Here, three species of bivalve (<em>Crassostrea virginica</em>, <em>Mercenaria mercenaria</em>, and <em>Mytilus edulis</em>) native to the western North Atlantic were exposed to two North American strains of toxigenic <em>Dinophysis acuminata</em> to assess the impacts of cell density, cell density as a fraction of the total plankton community, and differing <em>Dinophysis</em> prey (i.e. strains of the ciliate, <em>Mesodinium rubrum</em>) on bivalve clearance rates. All bivalves cleared <em>D. acuminata</em> faster when the dinoflagellate was offered at moderate densities (10,000 cells L<sup>−1</sup>) as compared to high densities (100,000 cells L<sup>−1</sup>). <em>C. virginica</em> cleared a more toxic Massachusetts strain of <em>D. acuminata</em> significantly faster than a less toxic New York strain (<em>p</em> < 0.05). When presented with <em>Dinophysis</em> in mixed culture with the non-HAB species, <em>Rhodomonas salina,</em> in varying proportions, <em>C. virginica</em> clearance rates slowed significantly as the relative and absolute abundance of <em>D. acuminata</em> increased (<em>p</em> < 0.05), whereas <em>M. edulis</em> displayed a preference for the algae that was more abundant. While <em>C. virginica</em> and <em>M. edulis</em> cleared <em>R. salina</em> significantly faster than <em>M. mercenaria</em> (<em>p</em> < 0.05), there were no differences in the clearance rates of <em>D. acuminata</em> among bivalves. In an additional experiment where <em>M. edulis</em> was exposed to a constant, density (∼ 15,000 cells L<sup>−1</sup>) of <em>D. acuminata</em> for 36 h and then fed a non-toxic food source for 24 h to quantify toxin accumulation and depuration, mussels rapidly accumulated DSTs and pectenotoxins (PTXs) during exposure to <em>Dinophysis</em> but depurated PTXs at a rate 3–14 times faster than DSTs (<em>p</em> = 0.07). Collectively, this study demonstrates that the accumulation of DSTs in bivalves varies as a function of <em>D. acuminata</em> density, species, and strain, and that feeding characteristics of, and toxin dynamics within, <em>M. edulis</em> make it more vulnerable to DST accumulation than <em>C. virginica</em> and a likely DST vector in bloom-prone regions.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117613"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.marpolbul.2025.117637
Yi Li , Yan Li , Hualong Wang , Chuyu Zhang , Kaiyue Lian , Feilong Liu , Yantao Liang , Zhaohui Chen , Yueqi Zhang , Hongbing Shao , Andrew McMinn , Min Wang
The Kuroshio Current structures environmental characteristics and biodiversity in the northwestern Pacific Ocean (NWPO), a region renowned for its dynamic oceanographic processes and rich marine ecosystems. However, the assembly and associations responses of prokaryotes and microeukaryotes to the Kuroshio Current remain largely unknown. Here, co-occurrence properties and stability of prokaryotic and eukaryotic microbiomes from three regions influenced by the Kuroshio: Kuroshio South of Japan (KSJ), Kuroshio Extension (KE), and the Kuroshio-Oyashio interfrontal zone (KOIZ) are systematically investigated. Microbiomes in the KE showed reduced phylogenetic distance and broader niche breadth than those in the KSJ and KOIZ. Microeukaryotic robustness was highest in the KE and lowest in the KOIZ, while prokaryotes showed the opposite pattern. Prokaryotic and microeukaryotic robustness and compositional stability formed complementary stabilizing and phylogenetic distance along vertical gradients in the KOIZ region, helping to maintain community and ecosystem stability. Prokaryotes and microeukaryotes formed complementary stabilizing under the influence of the Kuroshio Current. Overall, the network of prokaryotes was more stable than that of microeukaryotes, and microeukaryotes were more sensitive to environmental variations than prokaryotes. These results show how the Kuroshio Current influences the community organization and co-occurrence stability of prokaryotic and eukaryotic microbiomes, respectively, as well as their contrasting adaptability and survival strategies to environmental variation.
{"title":"Community organization and network stability of co-occurring microbiota under the influence of Kuroshio Current","authors":"Yi Li , Yan Li , Hualong Wang , Chuyu Zhang , Kaiyue Lian , Feilong Liu , Yantao Liang , Zhaohui Chen , Yueqi Zhang , Hongbing Shao , Andrew McMinn , Min Wang","doi":"10.1016/j.marpolbul.2025.117637","DOIUrl":"10.1016/j.marpolbul.2025.117637","url":null,"abstract":"<div><div>The Kuroshio Current structures environmental characteristics and biodiversity in the northwestern Pacific Ocean (NWPO), a region renowned for its dynamic oceanographic processes and rich marine ecosystems. However, the assembly and associations responses of prokaryotes and microeukaryotes to the Kuroshio Current remain largely unknown. Here, co-occurrence properties and stability of prokaryotic and eukaryotic microbiomes from three regions influenced by the Kuroshio: Kuroshio South of Japan (KSJ), Kuroshio Extension (KE), and the Kuroshio-Oyashio interfrontal zone (KOIZ) are systematically investigated. Microbiomes in the KE showed reduced phylogenetic distance and broader niche breadth than those in the KSJ and KOIZ. Microeukaryotic robustness was highest in the KE and lowest in the KOIZ, while prokaryotes showed the opposite pattern. Prokaryotic and microeukaryotic robustness and compositional stability formed complementary stabilizing and phylogenetic distance along vertical gradients in the KOIZ region, helping to maintain community and ecosystem stability. Prokaryotes and microeukaryotes formed complementary stabilizing under the influence of the Kuroshio Current. Overall, the network of prokaryotes was more stable than that of microeukaryotes, and microeukaryotes were more sensitive to environmental variations than prokaryotes. These results show how the Kuroshio Current influences the community organization and co-occurrence stability of prokaryotic and eukaryotic microbiomes, respectively, as well as their contrasting adaptability and survival strategies to environmental variation.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117637"},"PeriodicalIF":5.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176635","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}
In this study, an optimized comprehensive water quality index (WQI) model framework is developed, which combines advanced machine learning technology to compare different types of surface water quality assessment. The proposed framework enhancement encompasses four critical methodological advancements, i.e., water quality parameter selection, parameter normalization, weighting determination, and WQI aggregation function comparison. The Random Forest (RF) machine learning algorithm ranks water quality parameters based on their relative importance in determining overall water quality regimes. The water quality parameter weightings were determined using the Rank Order Centroid (ROC) method. The parameter normalization was designed following national standards by transforming observation data into dimensionless values on a unified scale and comparing the sensitivity and prediction error of four distinct WQI models. Multiple Linear Regression (MLR) models were employed to assess the sensitivity and precision of the WQI model. A comparison case study was conducted in China's typical coastal and non-coastal regions, i.e., Guangxi Zhuang Autonomous Region (Guangxi), to verify the robustness and adaptability of WQI model performance. The results show that the overall water quality status in Guangxi was generally in “Good” or “Medium” level. There was significant spatial water quality heterogeneity in the river systems of Guangxi, and the non-coastal region showed better water quality, almost at a “Good” level compared to the coastal region. The weighted quadratic mean (WQM) and the unweighted root mean square (RMS) models were selected as the most suitable WQI models for water quality evaluation in coastal and non-coastal regions in Guangxi. The water quality in the coastal region was almost “Medium”, with the average WQIs of WQM and RMS models being 74.27 and 76.51, respectively. The average WQIs evaluated by WQM and RMS models in non-coastal region were 85.39 and 88.81, respectively. This study can provide a valuable and reliable scientific reference for future administrative bodies implementing effective water environment risk prevention and management measures.
{"title":"Integrated machine learning-based optimization framework for surface water quality index comparing coastal and non-coastal cases of Guangxi, China","authors":"Xizhi Nong , Fengcheng He , Lihua Chen , Jiahua Wei","doi":"10.1016/j.marpolbul.2025.117564","DOIUrl":"10.1016/j.marpolbul.2025.117564","url":null,"abstract":"<div><div>In this study, an optimized comprehensive water quality index (WQI) model framework is developed, which combines advanced machine learning technology to compare different types of surface water quality assessment. The proposed framework enhancement encompasses four critical methodological advancements, i.e., water quality parameter selection, parameter normalization, weighting determination, and WQI aggregation function comparison. The Random Forest (RF) machine learning algorithm ranks water quality parameters based on their relative importance in determining overall water quality regimes. The water quality parameter weightings were determined using the Rank Order Centroid (ROC) method. The parameter normalization was designed following national standards by transforming observation data into dimensionless values on a unified scale and comparing the sensitivity and prediction error of four distinct WQI models. Multiple Linear Regression (MLR) models were employed to assess the sensitivity and precision of the WQI model. A comparison case study was conducted in China's typical coastal and non-coastal regions, i.e., Guangxi Zhuang Autonomous Region (Guangxi), to verify the robustness and adaptability of WQI model performance. The results show that the overall water quality status in Guangxi was generally in “Good” or “Medium” level. There was significant spatial water quality heterogeneity in the river systems of Guangxi, and the non-coastal region showed better water quality, almost at a “Good” level compared to the coastal region. The weighted quadratic mean (WQM) and the unweighted root mean square (RMS) models were selected as the most suitable WQI models for water quality evaluation in coastal and non-coastal regions in Guangxi. The water quality in the coastal region was almost “Medium”, with the average WQIs of WQM and RMS models being 74.27 and 76.51, respectively. The average WQIs evaluated by WQM and RMS models in non-coastal region were 85.39 and 88.81, respectively. This study can provide a valuable and reliable scientific reference for future administrative bodies implementing effective water environment risk prevention and management measures.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117564"},"PeriodicalIF":5.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176640","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}
Pub Date : 2025-02-03DOI: 10.1016/j.marpolbul.2025.117600
Afroza Parvin , Sanjida Afrin Semme , Niger Sultana , Mohammad Moniruzzaman , Badhan Saha , Abdullah al Mahmud , M. Jasim Uddin , Md Kamal Hossain
Ample sediment and bivalves from six distinct sites along Bangladesh's southern coast were employed to assess the pervasiveness of heavy metal contamination and probabilistic human health implications. For the first time, the extent and spatial distributions of seven metals (Fe, Zn, Pb, Cr, Ni, Mg, and Cd) were determined, together with the associated risk to human and ecological health, from sediment deposition stations and bivalve dwelling sites along the coast. Fe (680.14), Zn (30.94), Pb (6.90), Cr (20.25), Ni (17.50), Mg (917.4), Cd (0.25), and Fe (632.89), Zn (192.29), Pb (0.29), Cr (0.04), Ni (0.03), Mg (201.36), and Cd (0.02) were found to have the mean concentrations (mg/kg) in sediment and bivalve, respectively. The study revealed that all the metals found in sediment and bivalves fell within the safe levels established by international and national laws. Indices and chemometrics disclosed prevalent anthropogenic interferences of hazardous inorganic metals. Despite the lack of a confirmed health concern for the Indigenous community, it is crucial to continue surveillance and implement the necessary measures in the coming year to prevent heavy metal bioaccumulation and biomagnification in Bangladesh's resource-rich, mighty coastal region.
{"title":"Archival indicator of metal pollution in a tropical monsoon coastal region: Impact on environment and human health","authors":"Afroza Parvin , Sanjida Afrin Semme , Niger Sultana , Mohammad Moniruzzaman , Badhan Saha , Abdullah al Mahmud , M. Jasim Uddin , Md Kamal Hossain","doi":"10.1016/j.marpolbul.2025.117600","DOIUrl":"10.1016/j.marpolbul.2025.117600","url":null,"abstract":"<div><div>Ample sediment and bivalves from six distinct sites along Bangladesh's southern coast were employed to assess the pervasiveness of heavy metal contamination and probabilistic human health implications. For the first time, the extent and spatial distributions of seven metals (Fe, Zn, Pb, Cr, Ni, Mg, and Cd) were determined, together with the associated risk to human and ecological health, from sediment deposition stations and bivalve dwelling sites along the coast. Fe (680.14), Zn (30.94), Pb (6.90), Cr (20.25), Ni (17.50), Mg (917.4), Cd (0.25), and Fe (632.89), Zn (192.29), Pb (0.29), Cr (0.04), Ni (0.03), Mg (201.36), and Cd (0.02) were found to have the mean concentrations (mg/kg) in sediment and bivalve, respectively. The study revealed that all the metals found in sediment and bivalves fell within the safe levels established by international and national laws. Indices and chemometrics disclosed prevalent anthropogenic interferences of hazardous inorganic metals. Despite the lack of a confirmed health concern for the Indigenous community, it is crucial to continue surveillance and implement the necessary measures in the coming year to prevent heavy metal bioaccumulation and biomagnification in Bangladesh's resource-rich, mighty coastal region.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117600"},"PeriodicalIF":5.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177005","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}
Pub Date : 2025-02-03DOI: 10.1016/j.marpolbul.2025.117614
Varsha Bohra , Kaze King-Yip Lai , Kit-Ling Lam , Nora Fung-Yee Tam , Steven Jing-liang , Fred Wang-Fat Lee
Present research employed metagenomics to explore the structural and functional diversity of microorganisms in two matrices of pneumatophore: adhered sediments (PS) and epiphytes (PE) of Avicennia marina. These were compared with microorganisms in surrounding environments: tidal water (TW), mudflat sediment (MF) and mangrove sediment (MS). Results revealed that bacteria made up over 95 % of the microbial community across all five matrices, with the dominance of phylum Proteobacteria, because of their metabolic flexibility and ability to survive in harsh mangrove environment. The bacterial community in PS and PE were similar to TW but differed from those in MF and MS, implying their provenance from TW. The high relative abundance of genes involved in nitrate and sulfur reduction pathways in PS and PE indicates pneumatophore bacteria helps in enhancing nitrogen and sulfur availability. This study is the first to explore the functional significance of pneumatophore-adhered prokaryotic communities using metagenomics.
{"title":"Metagenomic surveillance reveals different structure and function of microbial community associated with mangrove pneumatophores and their surrounding matrices","authors":"Varsha Bohra , Kaze King-Yip Lai , Kit-Ling Lam , Nora Fung-Yee Tam , Steven Jing-liang , Fred Wang-Fat Lee","doi":"10.1016/j.marpolbul.2025.117614","DOIUrl":"10.1016/j.marpolbul.2025.117614","url":null,"abstract":"<div><div>Present research employed metagenomics to explore the structural and functional diversity of microorganisms in two matrices of pneumatophore: adhered sediments (PS) and epiphytes (PE) of <em>Avicennia marina</em>. These were compared with microorganisms in surrounding environments: tidal water (TW), mudflat sediment (MF) and mangrove sediment (MS). Results revealed that bacteria made up over 95 % of the microbial community across all five matrices, with the dominance of phylum Proteobacteria, because of their metabolic flexibility and ability to survive in harsh mangrove environment. The bacterial community in PS and PE were similar to TW but differed from those in MF and MS, implying their provenance from TW. The high relative abundance of genes involved in nitrate and sulfur reduction pathways in PS and PE indicates pneumatophore bacteria helps in enhancing nitrogen and sulfur availability. This study is the first to explore the functional significance of pneumatophore-adhered prokaryotic communities using metagenomics.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117614"},"PeriodicalIF":5.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077675","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}
Pub Date : 2025-02-03DOI: 10.1016/j.marpolbul.2024.117525
C.G. Mayorga Adame , J. Gacutan , B. Charlesworth , M. Roughan
Marine plastic pollution poses a global environmental challenge, understanding dispersal patterns at management-relevant scales is required to inform effective actions. We combine high-resolution oceanographic modelling and particle tracking with empirical data from Australia's largest marine debris database to investigate plastic debris transport across southeastern Australia. Our results challenge the assumption that marine debris primarily originates from distant sources, revealing that source regions are predominantly confined within a 15-km coastal band, with 50% of the debris modelled only spending 8 days at sea, and originating (on average) 20-km away. A comparison of empirically-informed simulations with uniform seeding scenarios shows significant differences in the number and intensity of identified marine source hotspots of plastic debris across the coastal band. These findings emphasize the importance of local management strategies and demonstrate how integrating observational data with oceanographic modelling can enhance our understanding of marine debris dynamics, ultimately supporting more targeted pollution reduction efforts.
{"title":"Unravelling coastal plastic pollution dynamics along southeastern Australia: Insights from oceanographic modelling informed by empirical data","authors":"C.G. Mayorga Adame , J. Gacutan , B. Charlesworth , M. Roughan","doi":"10.1016/j.marpolbul.2024.117525","DOIUrl":"10.1016/j.marpolbul.2024.117525","url":null,"abstract":"<div><div>Marine plastic pollution poses a global environmental challenge, understanding dispersal patterns at management-relevant scales is required to inform effective actions. We combine high-resolution oceanographic modelling and particle tracking with empirical data from Australia's largest marine debris database to investigate plastic debris transport across southeastern Australia. Our results challenge the assumption that marine debris primarily originates from distant sources, revealing that source regions are predominantly confined within a 15-km coastal band, with 50% of the debris modelled only spending 8 days at sea, and originating (on average) 20-km away. A comparison of empirically-informed simulations with uniform seeding scenarios shows significant differences in the number and intensity of identified marine source hotspots of plastic debris across the coastal band. These findings emphasize the importance of local management strategies and demonstrate how integrating observational data with oceanographic modelling can enhance our understanding of marine debris dynamics, ultimately supporting more targeted pollution reduction efforts.</div></div>","PeriodicalId":18215,"journal":{"name":"Marine pollution bulletin","volume":"213 ","pages":"Article 117525"},"PeriodicalIF":5.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号