Environmental Science and Ecotechnology最新文献

{"title":"Ex-ante life cycle evaluation of spent lithium-ion battery recovery: Modeling of complex environmental and economic impacts","authors":"Jiefeng Xiao ,&nbsp;Jiaqi Lu ,&nbsp;Bo Niu ,&nbsp;Xiaohua Liu ,&nbsp;Junming Hong ,&nbsp;Zhenming Xu","doi":"10.1016/j.ese.2024.100490","DOIUrl":"10.1016/j.ese.2024.100490","url":null,"abstract":"<div><p>The recycling of lithium-ion batteries (LIBs) is essential for promoting the closed-loop sustainable development of the LIB industry. However, progress in LIB recycling technologies is slow. There are significant gaps between academic research and industrial application, which hinder the industrialization of new technologies and the improvement of existing ones. Here we show a universal model for spent LIB-lithium recycling (<em>SliRec</em>) to evaluate the applicability and upgrading potential across various recycling technologies. Instead of modeling the entire recycling process, we focus on partial processes to enable a comparative analysis of environmental and economic impacts. We find a strong correlation between lithium concentration (LC) and the advancement of recycling technologies, where higher LC is associated with a reduced carbon footprint and increased economic benefits. The implementation of high-level recycling technology can result in an 85.91% reduction in carbon footprint and a 5.97-fold increase in economic returns. Additionally, we explore the effects of technological interventions through scenario analysis, demonstrating that while low-level recycling technology faces more substantial challenges in upgrading, it holds greater potential for reducing carbon emissions (−2.38 kg CO₂-eq mol⁻¹) and enhancing economic benefits (CNY 11.04 mol⁻¹). Our findings emphasize the significance of process modeling in evaluating the quality of spent LIB recycling technologies, and can provide comparative information for the application of emerging technologies or the upgrade of existing ones.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100490"},"PeriodicalIF":14.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424001042/pdfft?md5=1971080c42e7dcd6ad524635469c9a0c&pid=1-s2.0-S2666498424001042-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"High-throughput single-cell sequencing of activated sludge microbiome","authors":"Yulin Zhang ,&nbsp;Bingjie Xue ,&nbsp;Yanping Mao ,&nbsp;Xi Chen ,&nbsp;Weifu Yan ,&nbsp;Yanren Wang ,&nbsp;Yulin Wang ,&nbsp;Lei Liu ,&nbsp;Jiale Yu ,&nbsp;Xiaojin Zhang ,&nbsp;Shan Chao ,&nbsp;Edward Topp ,&nbsp;Wenshan Zheng ,&nbsp;Tong Zhang","doi":"10.1016/j.ese.2024.100493","DOIUrl":"10.1016/j.ese.2024.100493","url":null,"abstract":"<div><div>Wastewater treatment plants (WWTPs) represent one of biotechnology's largest and most critical applications, playing a pivotal role in environmental protection and public health. In WWTPs, activated sludge (AS) plays a major role in removing contaminants and pathogens from wastewater. While metagenomics has advanced our understanding of microbial communities, it still faces challenges in revealing the genomic heterogeneity of cells, uncovering the microbial dark matter, and establishing precise links between genetic elements and their host cells as a bulk method. These issues could be largely resolved by single-cell sequencing, which can offer unprecedented resolution to show the unique genetic information. Here we show the high-throughput single-cell sequencing to the AS microbiome. The single-amplified genomes (SAGs) of 15,110 individual cells were clustered into 2,454 SAG bins. We find that 27.5% of the genomes in the AS microbial community represent potential novel species, highlighting the presence of microbial dark matter. Furthermore, we identified 1,137 antibiotic resistance genes (ARGs), 10,450 plasmid fragments, and 1,343 phage contigs, with shared plasmid and phage groups broadly distributed among hosts, indicating a high frequency of horizontal gene transfer (HGT) within the AS microbiome. Complementary analysis using 1,529 metagenome-assembled genomes from the AS samples allowed for the taxonomic classification of 98 SAG bins, which were previously unclassified. Our study establishes the feasibility of single-cell sequencing in characterizing the AS microbiome, providing novel insights into its ecological dynamics, and deepening our understanding of HGT processes, particularly those involving ARGs. Additionally, this valuable tool could monitor the distribution, spread, and pathogenic hosts of ARGs both within AS environments and between AS and other environments, which will ultimately contribute to developing a health risk evaluation system for diverse environments within a One Health framework.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100493"},"PeriodicalIF":14.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Optimizing sustainable development in arid river basins: A multi-objective approach to balancing water, energy, economy, carbon and ecology nexus","authors":"Yufei Zhang ,&nbsp;Yongping Li ,&nbsp;Guohe Huang ,&nbsp;Yuan Ma ,&nbsp;Yanxiao Zhou","doi":"10.1016/j.ese.2024.100481","DOIUrl":"10.1016/j.ese.2024.100481","url":null,"abstract":"<div><p>The ongoing water crisis poses significant threats to the socioeconomic sustainability and ecological security of arid and semi-arid river basins. Achieving Sustainable Development Goals (SDGs) within a complex socio-ecological nexus requires effective and balanced resource management. However, due to the intricate interactions between human societies and environmental systems, the tradeoffs and synergies of different SDGs remain unclear, posing a substantial challenge for collaborative management of natural resources. Here we introduce a gray fractional multi-objective optimization (GFMOP) model to balance multi-dimensional SDGs through a novel water–energy–economy–carbon–ecology nexus perspective. The model was applied to a typical arid river basin in Northwest China, where thirty-two scenarios were explored, considering factors such as shared socioeconomic pathways, carbon removal rates, water conveyance efficiencies, and ecological requirements. The results reveal a strong tradeoff between marginal benefit and carbon emission intensity, indicating that improving the economic efficiency of water use can simultaneously reduce emissions and protect the environment. Given the immense power generation potential, wind power development should be prioritized in the future, with its share in the energy structure projected to increase to 23.3% by 2060. Furthermore, promoting carbon capture technologies and expanding grassland coverage are recommended to achieve regional carbon neutrality, contributing 39.5% and 49.1% to carbon absorption during 2021–2060, respectively. Compared with traditional single-objective models, GFMOP demonstrates a superiority in uncovering interrelationships among multiple SDGs and identifying compromised alternatives within the compound socio-ecological nexus. The model also provides detailed strategies for resource allocation and pollutant control, offering valuable guidance to policymakers and stakeholders in pursuing sustainable and harmonious watershed management.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100481"},"PeriodicalIF":14.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000954/pdfft?md5=600f6cdd1662bc975045954cf3530b8d&pid=1-s2.0-S2666498424000954-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Hydrology, vegetation, and soil properties as key drivers of soil organic carbon in coastal wetlands: A high-resolution study","authors":"Mao Guo ,&nbsp;Lin Yang ,&nbsp;Lei Zhang ,&nbsp;Feixue Shen ,&nbsp;Michael E. Meadows ,&nbsp;Chenghu Zhou","doi":"10.1016/j.ese.2024.100482","DOIUrl":"10.1016/j.ese.2024.100482","url":null,"abstract":"<div><p>Coastal wetlands are important blue carbon ecosystems that play a significant role in the global carbon cycle. However, there is insufficient understanding of the variations in soil organic carbon (SOC) stocks and the mechanisms driving these ecosystems. Here we analyze a comprehensive multi-source dataset of SOC in topsoil (0–20 cm) and subsoil (20–100 cm) across 31 coastal wetlands in China to identify the factors influencing their distribution. Structural equation models (SEMs) reveal that hydrology has the greatest overall effect on SOC in both soil layers, followed by vegetation, soil properties, and climate. Notably, the mechanisms driving SOC density differ between the two layers. In topsoil, vegetation type and productivity directly impact carbon density as primary sources of carbon input, while hydrology, primarily through seawater salinity, exerts the largest indirect influence. Conversely, in subsoil, hydrology has the strongest direct effect on SOC, with seawater salinity also influencing SOC indirectly through soil and vegetation mediation. Soil properties, particularly pH, negatively affect carbon accumulation, while climate influences SOC indirectly via its effects on vegetation and soil, with a diminishing impact at greater depths. Using Random Forest, we generate high-resolution maps (90 m × 90 m) of topsoil and subsoil carbon density (<em>R</em>² of 0.53 and 0.62, respectively), providing the most detailed spatial distribution of SOC in Chinese coastal wetlands to date. Based on these maps, we estimate that SOC storage to a depth of 1 m in Chinese coastal wetlands totals 74.58 ± 3.85 Tg C, with subsoil carbon storage being 2.5 times greater than that in topsoil. These findings provide important insights into mechanism on driving spatial pattern of blue carbon and effective ways to assess carbon status on a national scale, thus contributing to the advancement of global blue carbon monitoring and management.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100482"},"PeriodicalIF":14.0,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000966/pdfft?md5=776b163f662f0e025c275fc2b9592572&pid=1-s2.0-S2666498424000966-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Mass transfer in heterogeneous biofilms: Key issues in biofilm reactors and AI-driven performance prediction","authors":"Huize Chen ,&nbsp;Ao Xia ,&nbsp;Huchao Yan ,&nbsp;Yun Huang ,&nbsp;Xianqing Zhu ,&nbsp;Xun Zhu ,&nbsp;Qiang Liao","doi":"10.1016/j.ese.2024.100480","DOIUrl":"10.1016/j.ese.2024.100480","url":null,"abstract":"<div><p>Biofilm reactors, known for utilizing biofilm formation for cell immobilization, offer enhanced biomass concentration and operational stability over traditional planktonic systems. However, the dense nature of biofilms poses challenges for substrate accessibility to cells and the efficient release of products, making mass transfer efficiency a critical issue in these systems. Recent advancements have unveiled the intricate, heterogeneous architecture of biofilms, contradicting the earlier view of them as uniform, porous structures with consistent mass transfer properties. In this review, we explore six biofilm reactor configurations and their potential combinations, emphasizing how the spatial arrangement of biofilms within reactors influences mass transfer efficiency and overall reactor performance. Furthermore, we discuss how to apply artificial intelligence in processing biofilm measurement data and predicting reactor performance. This review highlights the role of biofilm reactors in environmental and energy sectors, paving the way for future innovations in biofilm-based technologies and their broader applications.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100480"},"PeriodicalIF":14.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000942/pdfft?md5=ba26eb2e90c12c1c8a58245ebad2ca78&pid=1-s2.0-S2666498424000942-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Trusted artificial intelligence for environmental assessments: An explainable high-precision model with multi-source big data","authors":"Haoli Xu ,&nbsp;Xing Yang ,&nbsp;Yihua Hu ,&nbsp;Daqing Wang ,&nbsp;Zhenyu Liang ,&nbsp;Hua Mu ,&nbsp;Yangyang Wang ,&nbsp;Liang Shi ,&nbsp;Haoqi Gao ,&nbsp;Daoqing Song ,&nbsp;Zijian Cheng ,&nbsp;Zhao Lu ,&nbsp;Xiaoning Zhao ,&nbsp;Jun Lu ,&nbsp;Bingwen Wang ,&nbsp;Zhiyang Hu","doi":"10.1016/j.ese.2024.100479","DOIUrl":"10.1016/j.ese.2024.100479","url":null,"abstract":"<div><p>Environmental assessments are critical for ensuring the sustainable development of human civilization. The integration of artificial intelligence (AI) in these assessments has shown great promise, yet the \"black box\" nature of AI models often undermines trust due to the lack of transparency in their decision-making processes, even when these models demonstrate high accuracy. To address this challenge, we evaluated the performance of a transformer model against other AI approaches, utilizing extensive multivariate and spatiotemporal environmental datasets encompassing both natural and anthropogenic indicators. We further explored the application of saliency maps as a novel explainability tool in multi-source AI-driven environmental assessments, enabling the identification of individual indicators' contributions to the model's predictions. We find that the transformer model outperforms others, achieving an accuracy of about 98% and an area under the receiver operating characteristic curve (AUC) of 0.891. Regionally, the environmental assessment values are predominantly classified as level II or III in the central and southwestern study areas, level IV in the northern region, and level V in the western region. Through explainability analysis, we identify that water hardness, total dissolved solids, and arsenic concentrations are the most influential indicators in the model. Our AI-driven environmental assessment model is accurate and explainable, offering actionable insights for targeted environmental management. Furthermore, this study advances the application of AI in environmental science by presenting a robust, explainable model that bridges the gap between machine learning and environmental governance, enhancing both understanding and trust in AI-assisted environmental assessments.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100479"},"PeriodicalIF":14.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000930/pdfft?md5=910b7c0d9e34a403e422cad4c29a7fe1&pid=1-s2.0-S2666498424000930-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Hydrodynamic and trophic variations reshape macroinvertebrate food webs in urban ecosystems","authors":"Xiongdong Zhou ,&nbsp;Congcong Wang ,&nbsp;Giri Kattel ,&nbsp;Jiahao Zhang ,&nbsp;Mengzhen Xu","doi":"10.1016/j.ese.2024.100478","DOIUrl":"10.1016/j.ese.2024.100478","url":null,"abstract":"<div><p>Urbanization is modifying aquatic ecosystems, with hydrodynamic and trophic variations altering biotic assemblages in rapidly expanding cities worldwide. Despite the fundamental bioenergetic role of food webs within these assemblages, their responding mechanism to the hydrodynamic and trophic variations remains largely unknown. Here we show that hydrodynamic and trophic loss, coupled with the weakening of cascade controls by key trophic guilds, leads to a significant decline in the structure, function and stability of macroinvertebrate food webs. Utilizing the allometric diet breadth model and biomass balance model, we established representative food webs for macroinvertebrate groups under varying hydrodynamic and trophic stresses. We found that such losses have reduced ∼75% trophic guild richness, ∼85% biomass flux, and ∼80% biomass storage. These reductions promote trophic guild specialization, further destabilizing food web, eroding interactive strength asymmetry, and diminishing the control of trophic guilds. Furthermore, macroinvertebrate food webs show divergent stability responses under similar stress levels, mainly driven by differences in the cascade controls exerted by key trophic guilds. Our results underscore the critical role of hydrodynamic and trophic variations in shaping urban aquatic ecosystems and highlight the significance of both external environmental revitalization and internal food web dynamics enhancement in restoring the ecological stability in urban settings.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100478"},"PeriodicalIF":14.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000929/pdfft?md5=a90b9dd30f241f86a1d6ee61fdf321b2&pid=1-s2.0-S2666498424000929-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Wintertime ozone surges: The critical role of alkene ozonolysis","authors":"Jin Yang ,&nbsp;Yangzong Zeren ,&nbsp;Hai Guo ,&nbsp;Yu Wang ,&nbsp;Xiaopu Lyu ,&nbsp;Beining Zhou ,&nbsp;Hong Gao ,&nbsp;Dawen Yao ,&nbsp;Zhanxiang Wang ,&nbsp;Shizhen Zhao ,&nbsp;Jun Li ,&nbsp;Gan Zhang","doi":"10.1016/j.ese.2024.100477","DOIUrl":"10.1016/j.ese.2024.100477","url":null,"abstract":"<div><p>Ozone (O₃) pollution is usually linked to warm weather and strong solar radiation, making it uncommon in cold winters. However, an unusual occurrence of four high O₃ episode days (with maximum hourly concentrations exceeding 100 ppbv and peaking at 121 ppbv) was recorded in January 2018 in Lanzhou city, China. During these episodes, the average daytime concentration of total non-methane volatile organic compounds (TVOCs) reached 153.4 ± 19.0 ppbv, with alkenes—largely emitted from the local petrochemical industry—comprising 82.3 ± 13.1 ppbv. Here we show a photochemical box model coupled with a Master Chemical Mechanism to elucidate the mechanisms behind this unusual wintertime O₃ pollution. We find that the typically low temperatures (−1.7 ± 1.3 °C) and weak solar radiation (263.6 ± 60.7 W m^-²) of those winter episode days had a minimal effect on the reactivity of VOCs with OH radicals. Instead, the ozonolysis of alkenes generated Criegee intermediates, which rapidly decomposed into substantial RO_<em>x</em> radicals (OH, HO₂, and RO₂) without sunlight. This radical production led to the oxidation of VOCs, with alkene ozonolysis ultimately contributing to 89.6 ± 8.7% of the O₃ formation during these episodes. This mechanism did not activate at night due to the depletion of O₃ by the NO titration effect. Furthermore, the findings indicate that a reduction of alkenes by 28.6% or NO_<em>x</em> by 27.7% in the early afternoon could significantly mitigate wintertime O₃ pollution. Overall, this study unravels the unique mechanism of alkene-induced winter O₃ pollution and offers a reference for winter O₃ reduction strategies in the petrochemical industrial regions.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100477"},"PeriodicalIF":14.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000917/pdfft?md5=4532154eb947de1e6e4fc44d7d5067ca&pid=1-s2.0-S2666498424000917-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Stability of sedimentary organic matter: Insights from molecular and redox analyses","authors":"Qi Li ,&nbsp;Chao Zhang ,&nbsp;Baoqing Shan","doi":"10.1016/j.ese.2024.100470","DOIUrl":"10.1016/j.ese.2024.100470","url":null,"abstract":"<div><p>Sedimentary organic matter (SOM) affects the stability of the aquatic carbon pool. The degradation process of SOM is complex for its multifaceted composition. The concentration and properties of SOM affect its steady state, yet the transformation processes of SOM in lakes remain unclear. Here we show the molecular and redox perspectives of SOM stability in polluted sediments with high organic matter content and diverse vegetation. We find significant differences in carbon fractions across various sites. The origin of the organic matter, determined using excitation-emission matrix spectra, influences the consistency of organic matter composition and biochemical degradation in lacustrine sediment. We also observe that sulfur-containing substances decrease carbon chain length and reduce organic matter stability. Fourier-transform ion cyclotron resonance mass spectrometry shows that sulfur-containing substances decrease the degree of saturation and cause reduction. In contrast, nitrogen-containing compounds increase the modified aromaticity index and humin content, enhancing organic carbon complexity and stability (p &lt; 0.05). These results complement the characteristics and transformations of SOM. In a broader perspective, this study contributes to laying the foundation for understanding SOM stability in the carbon cycle and its future effects.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100470"},"PeriodicalIF":14.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266649842400084X/pdfft?md5=1a527833f37e1cfc5e3b2c524c434ef6&pid=1-s2.0-S266649842400084X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Characterizing PFASs in aquatic ecosystems with 3D hydrodynamic and water quality models","authors":"Jingjie Zhang ,&nbsp;Huiting Chen ,&nbsp;Nguyen Viet Tung ,&nbsp;Amrita Pal ,&nbsp;Xuan Wang ,&nbsp;Hanyu Ju ,&nbsp;Yiliang He ,&nbsp;Karina Yew-Hoong Gin","doi":"10.1016/j.ese.2024.100473","DOIUrl":"10.1016/j.ese.2024.100473","url":null,"abstract":"<div><p>Understanding how per- and polyfluoroalkyl substances (PFASs) enter aquatic ecosystems is challenging due to the complex interplay of physical, chemical, and biological processes, as well as the influence of hydraulic and hydrological factors and pollution sources at the catchment scale. The spatiotemporal dynamics of PFASs across various media remain largely unknown. Here we show the fate and transport mechanisms of PFASs by integrating monitoring data from an estuarine reservoir in Singapore into a detailed 3D model. This model incorporates hydrological, hydrodynamic, and water quality processes to quantify the distributions of total PFASs, including the major components perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), across water, particulate matter, and sediments within the reservoir. Our results, validated against four years of field measurements with most relative average deviations below 40%, demonstrate that this integrated approach effectively characterizes the occurrence, sources, sinks, and trends of PFASs. The majority of PFASs are found in the dissolved phase (&gt;95%), followed by fractions sorbed to organic particles like detritus (1.0–3.5%) and phytoplankton (1–2%). We also assess the potential risks in both the water column and sediments of the reservoir. The risk quotients for PFOS and PFOA are &lt;0.32 and &lt; 0.00016, respectively, indicating an acceptable risk level for PFASs in this water body. The reservoir also exhibits substantial buffering capacity, even with a tenfold increase in external loading, particularly in managing the risks associated with PFOA compared to PFOS. This study not only enhances our understanding of the mechanisms influencing the fate and transport of surfactant contaminants but also establishes a framework for future research to explore how dominant environmental factors and processes can mitigate emerging contaminants in aquatic ecosystems.</p></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100473"},"PeriodicalIF":14.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666498424000875/pdfft?md5=8dedf1caff962cdce4af0e5ccfcb2555&pid=1-s2.0-S2666498424000875-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}