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SSRN 2022年

作者： Lu, Meiqing Wang, Xuejing Li, Hailong Jiao, Jiu Jimmy Luo, Xin Luo, Manhua Yu, Shengchao Xiao, Kai Qiu, Wenhui Zheng, Chunmiao State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China Department of Earth Sciences The University of Hong Kong Hong Kong Beijing100083 China

Estuaries are essential transition zones between riverine and marine ecosystems, supporting complex biogeochemical cycles. In the estuarine ecosystem, the microbial community plays a vital role in controlling biogeochemical cycles. However, there is currently limited comprehensive study on the deterministic and stochastic processes that drive the microbial community assembly in this ecosystem. In this study, we systematically investigated the co-occurrence relationship and microbial community assembly in the sediments of three transects in a large river-dominated estuary and its adjacent shelf in the northern South China Sea. The microbial co-occurrence networks, variation partitioning analysis, null model, neutral community model, and the Mantel test were used in this work. Results indicated that microbial communities in the estuary transect had more linkages than nearby shelf transects. In all three transects, stochastic processes were more important to microbial community assembly than deterministic processes. The hydrodynamic disturbance was believed to be the key regulator of the differences in microbial community assembly between the estuary and the neighboring shelf. Our research adds to our knowledge of microbial community assembly in the estuary and adjacent shelves. © 2022, The Authors. All rights reserved.

关键词： Stochastic systems

Impact of the COVID-19 Lockdown on Vehicular Emission and Air pollution in Chengdu, China

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SSRN 2022年

作者： Yang, Xinping Zhang, Hefeng Li, Wei Tian, Hong Wang, Yongdong Zhou, Jing Bao, Ze Wang, Yunjing Fu, Mingliang Wu, Xian Jiang, Han Ding, Yan State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing100012 China Vehicle Emission Control Center Chinese Research Academy of Environmental Sciences Beijing100012 China Chengdu Technical Support Center of Vehicle Exhaust Pollution Control Sichuan 610042 China

The spread of coronavirus disease 2019 (COVID-19) has significantly reduced human activities worldwide and thus primary emissions in which vehicular emission was one of the essential sources. We investigated the impacts of traffic activities on vehicular emissions and air quality during the COVID-19 pre-lockdown and lockdown periods in Chengdu, which is located in southwest China. The dynamic traffic emission inventories with high spatial and temporal resolutions were developed. We found that the traffic flow dropped by 50%, while most traffic hotspots were in the central district during the rush hours during the pre-lockdown and lockdown periods. Reduction of CO, HC, NOx, and PM emissions from vehicles has been seen, and the response of NOx to the lockdown was the most sensitive. As the dominant contributors to vehicular emission, light-duty passenger cars and heavy-duty trucks should be focused on being restricted during the rush hours in areas with high population density. Moreover, a significant decline in CO, NO2, PM10, and PM2.5 concentrations was observed after the lockdown, while O3 concentration increased by 39% due to the NO titration, indicating that reducing VOCs emission can realize the O3 control more effectively in Chengdu. The decline of Ox concentration and PNO3 denote the lower atmospheric oxidation capacity after the lockdown in Chengdu. Identifying significant contributors to vehicular emissions and exploring the impact of traffic volume on primary and secondary pollutants have important implications for developing vehicle emission control measures and effective O3 control strategies in Chengdu. © 2022, The Authors. All rights reserved.

关键词： Coronavirus

Improving real-time forecasting of bay water quality by integrating in-situ monitoring, machining learning, and process-based modeling

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Journal of environmental Management 2025年 386卷 125816页

作者： Xiong, Rui Xiong, Jianzhi Zheng, Yi Zhang, Jingjie Han, Feng Lu, Haiyan Zheng, Yan Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Macao Greater Bay Area of Ministry of Water Resources Ministry of Water Resources of the People's Republic of China Guangzhou510611 China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China Eco-Environmental Monitoring and Research Center Pearl River Valley and South China Sea Ecology and Environment Administration Ministry of Ecology and Environment of the People's Republic of China Guangzhou510611 China Shenzhen Municipal Engineering Lab of Environmental IoT Technologies Southern University of Science and Technology Guangdong Shenzhen China State Key Laboratory of Black Soils Conservation and Utilization Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun130102 China

Frequent occurrences of disasters such as red tides significantly threaten bay ecosystems, making near real-time water quality forecasting crucial for disaster warning and decision-making. Conventional techniques, such as process-based modeling and in-situ monitoring, struggle to achieve this for the entire bay region when applied independently. This study proposes a hybrid approach that integrates in-situ monitoring, process-based modeling, and machine learning (ML) to address this challenge. The feasibility of the approach was validated using Shenzhen Bay, a cross-boundary bay co-administered by Shenzhen and Hong Kong, as a testbed. ML models exhibited superior performance for location-specific forecasting, achieving Nash-Sutcliffe efficiency (NSE) values of 0.90, 0.84, 0.85, and 0.73 for dissolved oxygen, chlorophyll a, total nitrogen, and total phosphorus, respectively. Forecasting accuracy declined with longer lead times. Additionally, this study developed a dual-clustering method to optimize the selection of monitoring locations, minimizing the number of sites while effectively capturing the water quality across the entire bay. The results suggest that a monitoring network consisting of just two locations can adequately represent the overall water quality conditions within Shenzhen Bay. Using output from the Delft-3D model built for Shenzhen Bay, ML-based surrogate models successfully extended water quality forecasting from the two strategically selected locations to the entire bay area, with NSE values exceeding 0.8 in most regions. The hybrid approach provides a methodological foundation for achieving near real-time water quality forecasting across the entire bay areas, contributing to maintaining water security and preserving valuable ecosystem services in a rapidly changing environment. © 2025 Elsevier Ltd

关键词： In-situ monitoring Machine learning Process-based modeling Short-term forecasting Surrogate modeling Water quality

Consequential fate of bisphenol-attached PVC microplastics in water and simulated intestinal fluids

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environmental Science and Ecotechnology 2020年第2期2卷 48-56页

作者： Pengfei Wu Yuanyuan Tang Hangbiao Jin Yuanyuan Song Yunsong Liu Zongwei Cai State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and Technology1088 Xueyuan BlvdNanshan DistrictShenzhen518055PR China State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong Kong SARPR China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of EnvironmentZhejiang University of TechnologyHangzhouZhejiang310014PR China

The ever-increasing prevalence of microplastics and different bisphenols made the presence of bisphenol-attached microplastics a critical *** this study,experiments were performed to examine desorption behaviors and cytotoxicity performance of contaminated microplastics in aquatic surroundings and intestinal environment after ingestion by organisms(cold-/warm-blooded).The kinetic study shows that the rate of desorption for bisphenols can be enhanced threefold under simulated warm intestinal *** Freundlich isotherms indicate multiple-layer desorption of the bisphenols on the heterogeneous surfaces of polyvinyl chloride(PVC)*** was detected in the adsorption/desorption of bisphenols in a water environment,but no adsorption/desorption hysteresis was observed in the simulated intestinal conditions of warm-blooded *** to enhanced bioaccessibility,the desorption results imply that the environmental risk of contaminated PVC microplastics may be significantly increased after ingestion at a high bisphenols *** with different IC_(50),the five bisphenols released under the intestinal conditions of warm-blooded organisms can cause higher proliferation reduction in fish and human cell lines than the bisphenols released in *** study helps elucidate the consequential fate and potential cytotoxicity of contaminated microplastics and the possible implications of the microplastics as a critical vector for bisphenols to increase the potential health risks.

关键词： Microplastics Bisphenols Desorption behavior Bioaccessibility Cytotoxicity

Mechanistic and Modeling Insights into the Immobilization of Cd and Organic Carbon During Abiotic Transformation of Ferrihydrite Induced by Fe(Ii)

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SSRN 2022年

作者： Zhu, Huiyan Shen, Xinyue Wang, Pei Zheng, Lirong Hu, Shiwen Liu, Chongxuan State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of the Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China

Phase transformation of iron (Fe) oxides induced by Fe(II) significantly affects the fate of contaminants and carbon in soil environments. How the Fe(II)-catalyzed the transformation of ferrihydrite controls the sequestration of organic matter (OM) and heavy metals, however, is still not well understood. In this study, underlying sequestration mechanisms of cadmium (Cd) and OM during 1-5 mM Fe(II) induced ferrihydrite transformation were uncovered. Spectroscopic analysis showed that more magnetite formed at a higher Fe(II) concentration, and a mixture of lepidocrocite and goethite was found at a lower Fe(II) concentration. Microscopic analysis, at both nano and sub-nano scales, revealed that besides surface adsorption, part of Cd can be sequestrated by magnetite aggregates, and while FA was either adsorbed on goethite and magnetite surfaces or diffused into the nano pore spaces or defects of lepidocrocite. OM bound to Fe oxides is rich in aromatic and carboxyl functional groups. Model analysis showed that direct complexation of Cd by FA had a strong impact on the continuous change of Cd at lower Fe(II) concentration. The results contribute to in-depth understanding of the mobility of Cd and OM, and even the development of a comprehensive model for predicting dynamic behavior of Cd in soil environments. © 2022, The Authors. All rights reserved.

关键词： Organic carbon

Characterizing In-Cabin Air Quality and Vehicular Air Filtering Performance for Passenger Cars in China

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SSRN 2022年

作者： Yin, Chunyang Li, Hongyi Cha, Yingying Zhang, Shaojun Du, Jiee Li, Zhenhua Ye, Wu School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing China UCL Institute for Environmental Design and Engineering University College London London United Kingdom CabinAir Sweden AB Stockholm Sweden IVL Swedish Environmental Research Institute Stockholm Sweden State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing China Co. Ltd. Shenzhen China

The rapidly growing vehicle population has become a crucial contributor to severe air-pollution and public health issues. In urban areas, vehicles have become one of the important sources of air pollutants such as nitrogen oxides and ultra-fine particulate matter. In particular, the on-road concentrations of traffic-related air pollutants (TRAPs) are typically many times higher than normal ambient concentrations, potentially leading to high in-vehicle exposure levels to TRAPs. Limited studies have focused on the variability in in-vehicle concentrations of TRAPs and linked the pollution level to both ambient conditions and the in-cabin filtration performance during real-world travels. Therefore, this study measured on-roadway, in-cabin concentrations of fine particulate matter (PM 2.5 ) and carbon dioxide (CO 2 ) by using well-calibrated low-cost sensors during various conditions. Our results indicate that, although in-cabin PM 2.5 concentrations are correlated to out-cabin PM 2.5 concentration levels, the control efficiency would be affected by the ventilation mode and the adoption of vehicular filtration device. The PM 2.5 reduction efficiencies could achieve 45% and 77% for in-use and new filters made by vehicle manufacturers respectively, with the average CO 2 concentration remained at a safe level ( © 2022, The Authors. All rights reserved.

关键词： Health risks

Developing a Novel Bifidobacterium Phage Quantitative Polymerase Chain Reaction-Based Assay for Tracking Untreated Wastewater

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SSRN 2022年

作者： Li, Xiang Ahmed, Warish Wu, Ziqi Xia, Yu School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China CSIRO Land and Water Ecosciences Precinct 41 Boggo Road Dutton Park QLD4102 Australia

Microbial source tracking (MST) tools provide insights on fecal pollution levels in aquatic environments using quantitative PCR (qPCR) assays that target host-associated fecal marker genes. Existing wastewater-associated marker genes have shown limited or significant cross-reactions with non-human fecal samples. In this study, we mined the current Gut Phage Database (GPD) and designed a novel untreated wastewater-specific Bifidobacterium phage qPCR assay (i.e., Bifi assay). The sensitivity and specificity of the Bifi marker genes were assessed by analyzing untreated wastewater and non-human fecal samples in China and Australia. Bifi assay revealed 100% host-specificity against non-human fecal samples collected from China and Australia. Furthermore, this marker gene was also detected in all untreated wastewater samples, whose concentrations ranged from 5.54 to 6.89 GC/L. In China, the concentrations of Bifi marker gene were approximately two orders of magnitude lower than Bacteroides HF183/BacR287 and CrAssphage CPQ_56. The concentration of Bifi marker gene in Australian untreated wastewater was 1.35 log 10 greater than in China. Our results suggest that Bifi marker gene could be used as a wastewater-associated marker gene in Asia. If additional sensitivity is required, this marker gene should be paired with crAssphage and HF183/BacR287 in environmental studies. © 2022, The Authors. All rights reserved.

关键词： Polymerase chain reaction

Characterization of time-and size-dependent particle emissions and decay from cooking oil fumes in residence:Impacts of various intervention measures

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Building simulation 2023年第7期16卷 1149-1158页

作者： Jianbang Xiang Linmin Hu Jiayuan Hao Siqing Wu Jianping Cao Edmund Seto School of Public Health(Shenzhen) Sun Yat-sen UniversityShenzhenGuangdong 518107China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Division of Environmental Health University of Southern CaliforniaLos AngelesCA 90032USA School of Medicine Sun Yat-sen UniversityShenzhenGuangdong 518107China School of Environmental Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong 510006China Department of Environmental and Occupational Health Sciences University of WashingtonSeattleWA 98195USA

The dynamic characteristics of cooking-related particle size distributions in real-world settings are not fully *** a real-world campaign in a naturally-ventilated apartment in the northwest US,this study investigates the temporal profiles of size-resolved particle number concentrations(PNCs)ranging from 0.3 to 10µm from frying cooking *** cooking scenarios included various combinations of window ventilation,venting range hood(VRH)use,and portable air cleaner(PAC)*** a standardized pan-frying protocol throughout seven scenarios,real-time PNCs of 16-size bins were measured in the *** PNCs were empirically compared among size bins,periods,and *** most abundant size ranges of cooking-related particles were 0.3–0.579µm in number(45%–71%of the total)and 2.685–5.182µm in mass(48%–57%of the total).Compared with the scenario without any cooking-fume mitigating measures,keeping the kitchen windows open reduced the mean PNCs during and within 1-h after cooking for PM_(0.3-2.5),PM_(2.5-10),and PM_(0.3-10)by 78%,92%,and 79%,*** contrast,utilizing a VRH during cooking reduced the corresponding levels by 21%,69%,and 25%,*** with running the VRH,using a PAC in the kitchen led to additional reductions of 84%,88%,and 84%,***,the removal efficiencies of the three strategies generally increased with particle sizes.

关键词： cooking oil fumes size-resolved particles venting range hood window ventilation portable air cleaner

Human exposure to chromite mining pollution, the toxicity mechanism and health impact

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Heliyon 2024年第21期10卷 e40083页

作者： Khan, Changaiz Malik, Riffat Naseem Chen, Jing State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China Center of Atmospheric Environmental Studies Beijing Normal University Beijing 100875 China Environmental Biology and Ecotoxicology Laboratory Department of Environmental Sciences Faculty of Biological Sciences Quaid-i-Azam University Islamabad 45320 Pakistan

Significant amounts of toxic metal-containing mining waste are produced by chromium mining activities, along with the production of air pollutants. The presence of toxic metals in various environmental media including air, water, and soil, along with their chemical species such as hexavalent chromium, pose major health hazards for both directly exposed mining workers and the population residing near the mining areas. Highlighting the requirements for enhanced environmental protection and safety measures, this comprehensive review shed light on the global environmental pollution stemming from chromite mining activities. Based on the published literature, the study also investigated into the pollution caused by toxic metals and explored their probable health effects on exposed individuals. The exposure routes and the mechanisms of toxic metal induced carcinogenicity in the exposed groups were assessed. Additionally, the generated reactive species in exposed individuals and the toxicity mechanisms of hexavalent chromium were discussed. Considering these findings, this review proposed the necessity of cross-sectional biomonitoring studies involving occupationally exposed workers from chromite mining operations. The anticipated impact of this review is to influence the global and national chromite mining industry, instigating improvements in occupational settings, real-time pollution monitoring, and healthcare provisions for exposed workers. © 2024

关键词： Biomonitoring Mining pollution Occupational exposure Oxidative stress Toxicity mechanism

Response of ammonia-oxidizing archaea to heavy metal contamination in freshwater sediment

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Journal of environmental Sciences 2019年第3期31卷 392-399页

作者： Ningning Li Yao Chen Zhengke Zhang Sha Chang Dawei Huang Sili Chen Qingwei Guo Shuguang Xie Yongxin Bing State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University South China Institute of Environmental Sciences (SCIES) Ministry of Environment Protection (MEP)

It has been well-documented that the distribution of ammonia-oxidizing bacteria(AOB) and archaea(AOA) in soils can be affected by heavy metal contamination, whereas information about the impact of heavy metal on these ammonia-oxidizing microorganisms in freshwater sediment is still lacking. The present study explored the change of sediment ammonia-oxidizing microorganisms in a freshwater reservoir after being accidentally contaminated by industrial discharge containing high levels of metals. Bacterial amoA gene was found to be below the quantitative PCR detection and was not successfully amplified by conventional PCR. The number of archaeal amoA gene in reservoir sediments were 9.62 × 10~2–1.35 × 10~7 copies per gram dry sediment. AOA abundance continuously decreased, and AOA richness, diversity and community structure also considerably varied with time. Therefore, heavy metal pollution could have a profound impact on freshwater sediment AOA community. This work could expand our knowledge of the effect of heavy metal contamination on nitrification in natural ecosystems.

关键词： Ammonia-oxidizing archaea Freshwater sediment Heavy metal Nitrosopumilus