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Large-scale commercial-grade volatile fatty acids production from sewage sludge and food waste: A holistic environmental assessment 从污水污泥和食物垃圾中大规模生产商业级挥发性脂肪酸:一个全面的环境评估。
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100518
Ander Castro-Fernandez , Sofía Estévez , Juan M. Lema , Antón Taboada-Santos , Gumersindo Feijoo , María Teresa Moreira
The valorization of sewage sludge and food waste to produce energy and fertilizers is a well-stablished strategy within the circular economy. Despite the success of numerous laboratory-scale experiments in converting waste into high-value products such as volatile fatty acids (VFAs), large-scale implementation remains limited due to various technical and environmental challenges. Here, we evaluate the environmental performance of a hypothetical large-scale VFAs biorefinery located in Galicia, Spain, which integrates fermentation and purification processes to obtain commercial-grade VFAs based on primary data from pilot plant operations. We identify potential environmental hotspots, assess the influence of different feedstocks, and perform sensitivity analyses on critical factors like transportation distances and pH control methods, using life cycle assessment. Our findings reveal that, on a per-product basis, food waste provides superior environmental performance compared to sewage sludge, which, conversely, performs better when assessed per mass of waste valorized. This suggests that higher process productivity from more suitable wastes leads to lower environmental impacts but must be balanced against increased energy and chemical consumption, as food waste processing requires more electricity for pretreatment and solid-liquid separation. Further analysis reveals that the main operational impacts are chemical-related, primarily due to the use of NaOH for pH adjustment. Additionally, facility location is critical, potentially accounting for up to 99% of operational impacts due to transportation. Overall, our analysis demonstrates that the proposed VFAs biorefinery has a carbon footprint comparable to other bio-based technologies. However, enhancements in VFAs purification processes are necessary to fully replace petrochemical production. These findings highlight the potential of waste valorization into VFAs as a sustainable alternative, emphasizing the importance of process optimization and strategic facility placement.
将污水污泥和食物垃圾转化为能源和肥料是循环经济中一个成熟的战略。尽管在将废物转化为挥发性脂肪酸(VFAs)等高价值产品方面的许多实验室规模实验取得了成功,但由于各种技术和环境挑战,大规模实施仍然受到限制。在这里,我们评估了位于西班牙加利西亚的一个假设的大型VFAs生物精炼厂的环境绩效,该精炼厂整合了发酵和纯化过程,以获得基于中试工厂操作的原始数据的商业级VFAs。我们确定了潜在的环境热点,评估了不同原料的影响,并使用生命周期评估对运输距离和pH控制方法等关键因素进行了敏感性分析。我们的研究结果表明,在每个产品的基础上,与污水污泥相比,食物垃圾具有更好的环境性能,相反,当评估每质量的废物价值时,污泥表现更好。这表明,从更合适的废物中获得更高的工艺生产率可以降低对环境的影响,但必须与增加的能源和化学品消耗相平衡,因为食品垃圾处理需要更多的电力用于预处理和固液分离。进一步分析表明,主要的操作影响是与化学有关的,主要是由于使用NaOH来调节pH。此外,设施位置也很关键,可能占到运输造成的运营影响的99%。总的来说,我们的分析表明,拟议的VFAs生物炼制具有与其他生物基技术相当的碳足迹。然而,为了完全取代石化生产,VFAs净化工艺的改进是必要的。这些发现突出了废物增值为vfa作为可持续替代方案的潜力,强调了流程优化和战略设施安置的重要性。
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引用次数: 0
Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100522
Shengyue Chen , Jinliang Huang , Jiacong Huang , Peng Wang , Changyang Sun , Zhenyu Zhang , Shijie Jiang
The escalating magnitude, frequency, and duration of harmful algal blooms (HABs) pose significant challenges to freshwater ecosystems worldwide. However, the mechanisms driving HABs remain poorly understood, in part due to the strong regional specificity of algal processes and the uneven data availability. These complexities make it difficult to generalize HAB dynamics and effectively predict their occurrence using traditional models. To address these challenges, we developed an explainable deep learning approach using long short-term memory (LSTM) models combined with explanation techniques that can capture complex patterns and provide explainable insights into key HAB drivers. We applied this approach for algal density modeling at 102 sites in China's lakes and reservoirs over three years. LSTMs effectively captured daily algal dynamics, achieving mean and maximum Nash-Sutcliffe efficiency coefficients of 0.48 and 0.95 during testing phase. Moreover, water temperature emerged as the primary driver of HABs both nationally and in over 30% of localities, with stronger water temperature sensitivity observed in mid-to low-latitudes. We also identified regional similarities that allow for the successful transferability in modeling algal dynamics. Specifically, using fine-tuned transfer learning, we improved the prediction accuracy in over 75% of poorly gauged areas. Overall, LSTM-based explainable deep learning approach effectively addresses key challenges in HAB modeling by tackling both regional specificity and data limitations. By accurately predicting algal dynamics and identifying critical drivers, this approach provides actionable insights into the mechanisms of HABs, ultimately aids in the implementation of effective mitigation measures for nationwide and regional freshwater ecosystems.
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引用次数: 0
Groundwater electro-bioremediation via diffuse electro-conductive zones: A critical review 通过扩散导电带进行地下水电生物修复:综述。
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100516
Federico Aulenta , Matteo Tucci , Carolina Cruz Viggi , Stefano Milia , Seyedmehdi Hosseini , Gianluigi Farru , Rajandrea Sethi , Carlo Bianco , Tiziana Tosco , Marios Ioannidis , Giulio Zanaroli , Riccardo Ruffo , Carlo Santoro , Ugo Marzocchi , Giorgio Cassiani , Luca Peruzzo
Microbial electrochemical technologies (MET) can remove a variety of organic and inorganic pollutants from contaminated groundwater. However, despite significant laboratory-scale successes over the past decade, field-scale applications remain limited. We hypothesize that enhancing the electrochemical conductivity of the soil surrounding electrodes could be a groundbreaking and cost-effective alternative to deploying numerous high-surface-area electrodes in short distances. This could be achieved by injecting environmentally safe iron- or carbon-based conductive (nano)particles into the aquifer. Upon transport and deposition onto soil grains, these particles create an electrically conductive zone that can be exploited to control and fine-tune the delivery of electron donors or acceptors over large distances, thereby driving the process more efficiently. Beyond extending the radius of influence of electrodes, these diffuse electro-conductive zones (DECZ) could also promote the development of syntrophic anaerobic communities that degrade contaminants via direct interspecies electron transfer (DIET). In this review, we present the state-of-the-art in applying conductive materials for MET and DIET-based applications. We also provide a comprehensive overview of the physicochemical properties of candidate electrochemically conductive materials and related injection strategies suitable for field-scale implementation. Finally, we illustrate and critically discuss current and prospective electrochemical and geophysical methods for measuring soil electronic conductivity—both in the laboratory and in the field—before and after injection practices, which are crucial for determining the extent of DECZ. This review article provides critical information for a robust design and in situ implementation of groundwater electro-bioremediation processes.
微生物电化学技术(MET)可以去除受污染地下水中的多种有机和无机污染物。然而,尽管在过去十年中取得了重大的实验室规模的成功,但现场规模的应用仍然有限。我们假设,提高电极周围土壤的电化学导电性可能是在短距离内部署大量高表面积电极的开创性和经济有效的替代方案。这可以通过向含水层注入环保的铁基或碳基导电(纳米)颗粒来实现。在运输和沉积到土壤颗粒上时,这些颗粒会产生一个导电区,可以用来控制和微调远距离电子供体或受体的传递,从而更有效地推动这一过程。除了扩大电极的影响半径外,这些扩散导电区(DECZ)还可以促进通过直接种间电子转移(DIET)降解污染物的厌氧共生群落的发展。在这篇综述中,我们介绍了导电材料在MET和膳食基应用方面的最新进展。我们还全面概述了候选电化学导电材料的物理化学性质以及适用于现场规模实施的相关注入策略。最后,我们说明并批判性地讨论了目前和未来用于测量土壤电导率的电化学和地球物理方法——无论是在实验室还是在现场——在注入实践之前和之后,这对于确定DECZ的程度至关重要。这篇综述文章为地下水电生物修复工艺的稳健设计和原位实施提供了重要信息。
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引用次数: 0
More inputs of antibiotics into groundwater but less into rivers as a result of manure management in China 在中国,由于粪肥管理,流入地下水的抗生素较多,流入河流的抗生素较少。
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100513
Qi Zhang , Yanan Li , Carolien Kroeze , Milou G.M. van de Schans , Jantiene Baartman , Jing Yang , Shiyang Li , Wen Xu , Mengru Wang , Lin Ma , Fusuo Zhang , Maryna Strokal
Antibiotics are extensively used in livestock production to prevent and treat diseases, but their environmental impact through contamination of rivers and groundwater is a growing concern. The specific antibiotics involved, their sources, and their geographic distribution remain inadequately documented, hindering effective mitigation strategies for river and groundwater pollution control caused by livestock production. Here we develope the spatially explicit MARINA-Antibiotics (China-1.0) model to estimate the flows of 24 antibiotics from seven livestock species into rivers and leaching into groundwater across 395 sub-basins in China, and examine changes between 2010 and 2020. We find that 8364 tonnes and 3436 tonnes of antibiotics entered rivers and groundwater nationwide in 2010 and 2020, respectively. Approximately 50–90% of these amounts originated from about 40% of the basin areas. Antibiotic inputs to rivers decreased by 59% from 2010 to 2020, largely due to reduced manure point sources. Conversely, antibiotic leaching into groundwater increased by 15%, primarily because of enhanced manure recycling practices. Pollution varied by antibiotic groups and livestock species: fluoroquinolones contributed approximately 55% to river pollution, mainly from pig, cattle, and chicken manure; sulfonamides accounted for over 90% of antibiotics in groundwater, predominantly from pig and sheep manure. While our findings support existing policies promoting manure recycling to mitigate river pollution in China, they highlight the need for greater attention to groundwater pollution. This aspect is essential to consider in developing and designing future reduction strategies for antibiotic pollution from livestock production.
抗生素广泛用于畜牧业生产,以预防和治疗疾病,但其对河流和地下水的污染对环境的影响日益受到关注。所涉及的具体抗生素、它们的来源和地理分布仍然没有充分的记录,阻碍了有效的缓解战略,以控制牲畜生产造成的河流和地下水污染。本文建立了空间显式的marina - antibiotic (China-1.0)模型,估算了中国395个子流域7种家畜的24种抗生素进入河流和渗入地下水的流量,并分析了2010 - 2020年的变化。我们发现,2010年和2020年,全国分别有8364吨和3436吨抗生素进入河流和地下水。其中约50-90%来自约40%的盆地地区。从2010年到2020年,河流的抗生素投入减少了59%,这主要是由于粪肥点源的减少。相反,抗生素渗入地下水的数量增加了15%,这主要是由于粪肥循环利用的加强。污染因抗生素种类和牲畜种类而异:氟喹诺酮类药物约占河流污染的55%,主要来自猪、牛和鸡粪;地下水中磺胺类抗生素占90%以上,主要来自猪粪和羊粪。虽然我们的研究结果支持促进粪便回收以减轻中国河流污染的现有政策,但它们强调需要更多地关注地下水污染。在制定和设计未来减少畜牧生产中抗生素污染的战略时,这方面是必须考虑的。
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引用次数: 0
The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth 《2023年中国碳中和与清洁空气协同路线图:减碳、减缓污染、绿化与增长》报告。
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100517
Jicheng Gong , Zhicong Yin , Yu Lei , Xi Lu , Qiang Zhang , Cilan Cai , Qimin Chai , Huopo Chen , Renjie Chen , Wenhui Chen , Jing Cheng , Xiyuan Chi , Hancheng Dai , Zhanfeng Dong , Guannan Geng , Jianlin Hu , Shan Hu , Cunrui Huang , Tiantian Li , Wei Li , Kebin He
The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms, targets, strategies, and governance systems. This report, based on a monitoring indicator system for coordinated governance of air pollution and climate change, employs an interdisciplinary approach combining natural and social sciences. It establishes 20 indicators across five key areas: air pollution and climate change, governance systems and practices, structural transformation and technologies, atmospheric components and emission reduction pathways, and health impacts and co-benefits. This report tries to provide actionable insights into the interconnectedness of air pollution and climate governance. It highlights key policy gaps, presents updated indicators, and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air quality. Compared to previous editions, this year's report has updated four key indicators: meteorological impacts on air quality, climate change and its effects, governance policies, and low-carbon building energy systems. The aim is to further refine the monitoring framework, track progress, and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean air. The report comprises six chapters. The executive summary chapter is followed by analyzing air pollution and climate change interactions. Governance systems and practices are discussed in the third chapter, focusing on policy implementation and local experiences. The fourth chapter addresses structural transformations and emission reduction technologies, including energy and industrial shifts, transportation, low-carbon buildings, carbon capture and storage, and power systems. The fifth chapter outlines atmospheric component dynamics and emission pathways, presenting insights into emission drivers and future strategies. The sixth chapter assesses health impacts and the benefits of coordinated actions. Since 2019, China Clean Air Policy Partnership has produced annual reports on China's progress in climate and air pollution governance, receiving positive feedback. In 2023, the report was co-developed with Tsinghua University's Carbon Neutrality Research Institute, involving over 100 experts and multiple academic forums. The collaboration aims to continuously improve the indicator system and establish the report as a key resource supporting China's efforts in pollution reduction, carbon mitigation, greening, and sustainable growth.
应对气候变化和控制大气污染在科学机制、目标、战略和治理体系之间显示出强大的协同效应。本报告以大气污染与气候变化协调治理监测指标体系为基础,采用自然科学与社会科学相结合的跨学科方法。它在五个关键领域建立了20个指标:空气污染和气候变化、治理体系和实践、结构转型和技术、大气成分和减排途径、健康影响和协同效益。本报告试图就空气污染与气候治理之间的相互联系提供可行的见解。它强调了关键的政策差距,提出了最新的指标,并提供了一个完善的监测框架,以跟踪中国在减少排放和改善空气质量的双重目标方面取得的进展。与以前的版本相比,今年的报告更新了四个关键指标:气象对空气质量的影响、气候变化及其影响、治理政策和低碳建筑能源系统。其目的是进一步完善监测框架,跟踪进展,建立一个全面的协同治理理论,同时为中国的碳中和和清洁空气之路确定挑战并提出解决方案。报告共分六章。在执行摘要一章之后,分析了空气污染和气候变化的相互作用。第三章讨论了治理体系和实践,重点是政策实施和地方经验。第四章讨论了结构转型和减排技术,包括能源和工业转移、交通运输、低碳建筑、碳捕获和储存以及电力系统。第五章概述了大气组分动力学和排放途径,提出了对排放驱动因素和未来战略的见解。第六章评估协调行动对健康的影响和效益。自2019年以来,中国清洁空气政策伙伴关系每年都会就中国在气候和空气污染治理方面的进展发表报告,并获得积极反馈。2023年,该报告与清华大学碳中和研究所共同编写,涉及100多位专家和多个学术论坛。该合作旨在不断完善指标体系,使报告成为支持中国在减少污染、减少碳排放、绿化和可持续增长方面努力的关键资源。
{"title":"The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth","authors":"Jicheng Gong ,&nbsp;Zhicong Yin ,&nbsp;Yu Lei ,&nbsp;Xi Lu ,&nbsp;Qiang Zhang ,&nbsp;Cilan Cai ,&nbsp;Qimin Chai ,&nbsp;Huopo Chen ,&nbsp;Renjie Chen ,&nbsp;Wenhui Chen ,&nbsp;Jing Cheng ,&nbsp;Xiyuan Chi ,&nbsp;Hancheng Dai ,&nbsp;Zhanfeng Dong ,&nbsp;Guannan Geng ,&nbsp;Jianlin Hu ,&nbsp;Shan Hu ,&nbsp;Cunrui Huang ,&nbsp;Tiantian Li ,&nbsp;Wei Li ,&nbsp;Kebin He","doi":"10.1016/j.ese.2024.100517","DOIUrl":"10.1016/j.ese.2024.100517","url":null,"abstract":"<div><div>The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms, targets, strategies, and governance systems. This report, based on a monitoring indicator system for coordinated governance of air pollution and climate change, employs an interdisciplinary approach combining natural and social sciences. It establishes 20 indicators across five key areas: air pollution and climate change, governance systems and practices, structural transformation and technologies, atmospheric components and emission reduction pathways, and health impacts and co-benefits. This report tries to provide actionable insights into the interconnectedness of air pollution and climate governance. It highlights key policy gaps, presents updated indicators, and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air quality. Compared to previous editions, this year's report has updated four key indicators: meteorological impacts on air quality, climate change and its effects, governance policies, and low-carbon building energy systems. The aim is to further refine the monitoring framework, track progress, and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean air. The report comprises six chapters. The executive summary chapter is followed by analyzing air pollution and climate change interactions. Governance systems and practices are discussed in the third chapter, focusing on policy implementation and local experiences. The fourth chapter addresses structural transformations and emission reduction technologies, including energy and industrial shifts, transportation, low-carbon buildings, carbon capture and storage, and power systems. The fifth chapter outlines atmospheric component dynamics and emission pathways, presenting insights into emission drivers and future strategies. The sixth chapter assesses health impacts and the benefits of coordinated actions. Since 2019, China Clean Air Policy Partnership has produced annual reports on China's progress in climate and air pollution governance, receiving positive feedback. In 2023, the report was co-developed with Tsinghua University's Carbon Neutrality Research Institute, involving over 100 experts and multiple academic forums. The collaboration aims to continuously improve the indicator system and establish the report as a key resource supporting China's efforts in pollution reduction, carbon mitigation, greening, and sustainable growth.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100517"},"PeriodicalIF":14.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883115","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}
引用次数: 0
Synergistic air pollution exposure elevates depression risk: A cohort study 协同空气污染暴露增加抑郁症风险:一项队列研究
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-22 DOI: 10.1016/j.ese.2024.100515
Yuqing Hao , Longzhu Xu , Meiyu Peng , Zhugen Yang , Weiqi Wang , Fanyu Meng
Depression is a leading mental health disorder worldwide, contributing substantially to the global disease burden. While emerging evidence suggests links between specific air pollutants and depression, the potential interactions among multiple pollutants remain underexplored. Here we show the influence of six common air pollutants on depressive symptoms among middle-aged and older Chinese adults. In single-pollutant models, a 10 μg m−3 increase in SO2, CO, PM10, and PM2.5 is associated with increased risks of depressive symptoms, with odds ratios (95% confidence intervals) of 1.276 (1.238–1.315), 1.007 (1.006–1.008), 1.066 (1.055–1.078), and 1.130 (1.108–1.153), respectively. In two-pollutant models, SO2 remains significantly associated with depressive symptoms after adjusting for other pollutants. Multi-pollutant models uncover synergistic effects, with SO2, CO, NO2, PM10, and PM2.5 exhibiting significant interactions, identifying SO2 as the primary driver of these associations. Mediation analyses further indicate that cognitive and physical impairments partially mediate the relationship between air pollution and depressive symptoms. These findings underscore the critical mental health impacts of air pollution and highlight the need for integrated air quality management strategies. Targeted mitigation of specific pollutants, particularly SO2, is expected to significantly enhance public mental health outcomes.
抑郁症是世界范围内主要的精神健康障碍,对全球疾病负担有很大贡献。虽然新出现的证据表明特定空气污染物与抑郁症之间存在联系,但多种污染物之间的潜在相互作用仍未得到充分探索。在这里,我们展示了六种常见的空气污染物对中国中老年人抑郁症状的影响。在单一污染物模型中,SO2、CO、PM10和PM2.5浓度每增加10 μg m−3与抑郁症状风险增加相关,比值比(95%置信区间)分别为1.276(1.238-1.315)、1.007(1.006-1.008)、1.066(1.055-1.078)和1.130(1.108-1.153)。在双污染物模型中,调整其他污染物后,SO2仍与抑郁症状显著相关。多污染物模型揭示了协同效应,其中SO2、CO、NO2、PM10和PM2.5表现出显著的相互作用,确定SO2是这些关联的主要驱动因素。中介分析进一步表明,认知和身体障碍在空气污染与抑郁症状之间的关系中起部分中介作用。这些发现强调了空气污染对心理健康的重要影响,并强调了制定综合空气质量管理战略的必要性。有针对性地减少特定污染物,特别是二氧化硫,预计将大大提高公众心理健康成果。
{"title":"Synergistic air pollution exposure elevates depression risk: A cohort study","authors":"Yuqing Hao ,&nbsp;Longzhu Xu ,&nbsp;Meiyu Peng ,&nbsp;Zhugen Yang ,&nbsp;Weiqi Wang ,&nbsp;Fanyu Meng","doi":"10.1016/j.ese.2024.100515","DOIUrl":"10.1016/j.ese.2024.100515","url":null,"abstract":"<div><div>Depression is a leading mental health disorder worldwide, contributing substantially to the global disease burden. While emerging evidence suggests links between specific air pollutants and depression, the potential interactions among multiple pollutants remain underexplored. Here we show the influence of six common air pollutants on depressive symptoms among middle-aged and older Chinese adults. In single-pollutant models, a 10 μg m<sup>−3</sup> increase in SO<sub>2</sub>, CO, PM<sub>10</sub>, and PM<sub>2.5</sub> is associated with increased risks of depressive symptoms, with odds ratios (95% confidence intervals) of 1.276 (1.238–1.315), 1.007 (1.006–1.008), 1.066 (1.055–1.078), and 1.130 (1.108–1.153), respectively. In two-pollutant models, SO<sub>2</sub> remains significantly associated with depressive symptoms after adjusting for other pollutants. Multi-pollutant models uncover synergistic effects, with SO<sub>2</sub>, CO, NO<sub>2</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> exhibiting significant interactions, identifying SO<sub>2</sub> as the primary driver of these associations. Mediation analyses further indicate that cognitive and physical impairments partially mediate the relationship between air pollution and depressive symptoms. These findings underscore the critical mental health impacts of air pollution and highlight the need for integrated air quality management strategies. Targeted mitigation of specific pollutants, particularly SO<sub>2</sub>, is expected to significantly enhance public mental health outcomes.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100515"},"PeriodicalIF":14.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746566","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}
引用次数: 0
Augmented machine learning for sewage quality assessment with limited data 利用有限数据进行污水质量评估的增强型机器学习
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-17 DOI: 10.1016/j.ese.2024.100512
Jia-Qiang Lv , Wan-Xin Yin , Jia-Min Xu , Hao-Yi Cheng , Zhi-Ling Li , Ji-Xian Yang , Ai-Jie Wang , Hong-Cheng Wang
Physical, chemical, and biological processes within sewers significantly alter sewage composition during conveyance. This leads to the formation of sulfide and methane—compounds that contribute to sewer corrosion and greenhouse gas emissions. Reliable modeling of these compounds is essential for effective sewer management, but the development of machine learning (ML) models is hindered by differences in data accessibility and sampling frequencies of water quality variables. Here we present a mechanistically enhanced hybrid (ME-Hybrid) model that combines mechanistic modeling with data-driven approaches. This model harmonizes datasets with varying sampling frequencies and generates synthetic samples for ML training, thereby enhancing the monitoring of methane and sulfide in sewers. The optimal ME-Hybrid model integrates the backpropagation neural network with mechanistic frequency harmonization. We demonstrate that the ME-Hybrid model outperforms pure ML and linear interpolation in capturing fluctuating trends and extremes of sulfide concentrations, achieving a coefficient of determination (R2) of 0.94. Synthetic samples generated through mechanistic augmentation closely approximate real samples in modeling performance, statistical distribution, and data structure. This enables the model to maintain high predictive accuracy (R2 > 0.76) for sulfide even when trained on only 50 % of the dataset. Additionally, the ME-Hybrid model successfully assesses sewer methane concentrations with an R2 of 0.94, validating its applicability and generalization ability. Our results provide a reliable methodological framework for modeling and prediction under data scarcity. By facilitating better monitoring and management of sewer systems, the ME-Hybrid model aids in the development of strategies that minimize environmental impacts, enhance urban resilience, and ultimately lead to sustainable urban water systems.
在输送过程中,下水道内的物理、化学和生物过程会显著改变污水成分。这导致硫化物和甲烷化合物的形成,从而造成下水道腐蚀和温室气体排放。这些化合物的可靠建模对于有效的下水道管理至关重要,但机器学习(ML)模型的开发却受到水质变量数据可获取性和采样频率差异的阻碍。在此,我们提出了一种机理增强型混合(ME-Hybrid)模型,该模型结合了机理建模和数据驱动方法。该模型可协调不同采样频率的数据集,并生成用于 ML 训练的合成样本,从而加强对下水道中甲烷和硫化物的监测。最佳 ME-Hybrid 模型集成了反向传播神经网络和机理频率协调。我们证明,ME-Hybrid 模型在捕捉硫化物浓度的波动趋势和极端值方面优于纯 ML 和线性插值,其判定系数 (R2) 达到 0.94。通过机理增强生成的合成样本在建模性能、统计分布和数据结构方面与真实样本非常接近。这使得该模型即使只在 50% 的数据集上进行训练,也能保持较高的硫化物预测精度(R2 > 0.76)。此外,ME-Hybrid 模型成功评估了下水道甲烷浓度,R2 为 0.94,验证了其适用性和概括能力。我们的研究结果为数据稀缺情况下的建模和预测提供了可靠的方法框架。通过促进更好地监测和管理下水道系统,ME-Hybrid 模型有助于制定战略,最大限度地减少对环境的影响,提高城市的适应能力,并最终实现可持续的城市水系统。
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引用次数: 0
Accelerating the establishment of a new science-policy panel to address the triple planetary crisis 加快建立新的科学政策小组,应对三重地球危机
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-01 DOI: 10.1016/j.ese.2024.100498
Junyu Wang, Fengchang Wu, Huan Zhong, Xiaoli Zhao, Zhi Tang, Lin Niu, Xia Wang
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引用次数: 0
Rapid identification of antibiotic resistance gene hosts by prescreening ARG-like reads 通过预筛选类似 ARG 的读数快速识别抗生素耐药基因宿主
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-10-29 DOI: 10.1016/j.ese.2024.100502
Zhiguo Su , April Z. Gu , Donghui Wen , Feifei Li , Bei Huang , Qinglin Mu , Lyujun Chen
Effective risk assessment and control of environmental antibiotic resistance depend on comprehensive information about antibiotic resistance genes (ARGs) and their microbial hosts. Advances in sequencing technologies and bioinformatics have enabled the identification of ARG hosts using metagenome-assembled contigs and genomes. However, these approaches often suffer from information loss and require extensive computational resources. Here we introduce a bioinformatic strategy that identifies ARG hosts by prescreening ARG-like reads (ALRs) directly from total metagenomic datasets. This ALR-based method offers several advantages: (1) it enables the detection of low-abundance ARG hosts with higher accuracy in complex environments; (2) it establishes a direct relationship between the abundance of ARGs and their hosts; and (3) it reduces computation time by approximately 44–96% compared to strategies relying on assembled contigs and genomes. We applied our ALR-based strategy alongside two traditional methods to investigate a typical human-impacted environment. The results were consistent across all methods, revealing that ARGs are predominantly carried by Gammaproteobacteria and Bacilli, and their distribution patterns may indicate the impact of wastewater discharge on coastal resistome. Our strategy provides rapid and accurate identification of antibiotic-resistant bacteria, offering valuable insights for the high-throughput surveillance of environmental antibiotic resistance. This study further expands our knowledge of ARG-related risk management in future.
有效的风险评估和环境抗生素耐药性控制取决于有关抗生素耐药性基因(ARGs)及其微生物宿主的全面信息。测序技术和生物信息学的进步使得利用元基因组组装的等位基因和基因组识别 ARG 宿主成为可能。然而,这些方法往往会造成信息丢失,而且需要大量的计算资源。在这里,我们介绍了一种生物信息学策略,通过直接从元基因组数据集中预选类似 ARG 的读数(ALR)来鉴定 ARG 宿主。这种基于 ALR 的方法有几个优点:(1)它能在复杂环境中更准确地检测低丰度 ARG 宿主;(2)它在 ARG 的丰度和宿主之间建立了直接的关系;(3)与依赖于组装的等位基因组和基因组的策略相比,它减少了大约 44-96% 的计算时间。我们将基于 ALR 的策略与两种传统方法一起用于研究典型的人类影响环境。所有方法的结果都是一致的,揭示出 ARGs 主要由伽马蛋白菌和芽孢杆菌携带,它们的分布模式可能表明废水排放对沿岸抗性组的影响。我们的策略能快速准确地鉴定抗生素耐药菌,为高通量监测环境抗生素耐药性提供了宝贵的见解。这项研究进一步拓展了我们对未来 ARG 相关风险管理的认识。
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引用次数: 0
Mitigating household air pollution exposure through kitchen renovation 通过厨房改造减少家庭空气污染暴露
IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-10-22 DOI: 10.1016/j.ese.2024.100501
Yatai Men , Ke Jiang , Yaoji Li , Ran Xing , Zhihan Luo , Tianyao Huang , Shuyu Ou'yang , Wei Du , Yuanchen Chen , Guofeng Shen
Globally, over three billion people rely on traditional solid fuels for cooking and heating, leading to significant household air pollution and critical public health concerns. While transitioning to clean energy carriers faces challenges of accessibility and affordability—especially among low-income, rural populations—alternative strategies like kitchen layout modifications and the use of ventilation fans may effectively reduce exposure to pollutants. Here, we analyze factors influencing the adoption of separated kitchens and mechanical ventilation and evaluate changes in human exposure to PM2.5 under different kitchen renovation scenarios by conducting a nationwide survey of household kitchen characteristics in rural China. We found that although 82% of rural households have kitchens separated from other rooms, only 34% use mechanical ventilation. The adoption of ventilation fans is significantly influenced by income and education levels. We estimate that widespread implementation of ventilation fans and separated kitchen designs could prevent approximately 67400 premature deaths annually, resulting in a health benefit of about USD 19 billion per year—substantially exceeding the costs involved. These findings suggest that cost-effective kitchen renovations offer enormous potential for substantial health benefits and present a practical solution compared to the challenges of clean energy transitions in rural areas.
全球有 30 多亿人依靠传统固体燃料做饭和取暖,导致严重的家庭空气污染和严重的公共健康问题。虽然向清洁能源载体过渡面临着可获得性和可负担性方面的挑战,尤其是在低收入和农村人口中,但厨房布局改造和使用换气扇等替代策略可有效减少污染物暴露。在此,我们通过在全国范围内开展中国农村家庭厨房特征调查,分析了采用分隔式厨房和机械通风的影响因素,并评估了在不同厨房改造方案下人类接触 PM2.5 的变化。我们发现,虽然 82% 的农村家庭将厨房与其他房间隔开,但只有 34% 的家庭使用机械通风。换气扇的采用受收入和教育水平的影响很大。我们估计,广泛采用换气扇和分隔式厨房设计每年可防止约 67400 人过早死亡,每年可带来约 190 亿美元的健康效益--大大超过相关成本。这些研究结果表明,具有成本效益的厨房改造具有巨大的潜力,可带来可观的健康效益,是应对农村地区清洁能源转型挑战的切实可行的解决方案。
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Environmental Science and Ecotechnology
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