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Occurrence of antibiotic resistance genes and bacterial pathogens in water and sediment in urban recreational water

Journal of environmental Sciences 2019年第3期31卷 65-74页

作者： Peiyan Dong Qijia Cui Tingting Fang Yong Huang Hui Wang State Key Joint Laboratory on Environment Simulation and Pollution Control School of Environment Tsinghua University

The emergence and prevalence of antibiotic resistance genes(ARGs) and pathogens in the environment are serious global health concern. However, information about the occurrence of ARGs and pathogens in recreational water is still limited. Accordingly, we investigated the occurrence of six ARGs and human pathogens in three recreational lakes, and the correlations between ARGs and one mobile genetic element(intI1) were analyzed. The quantitative PCR results showed that the concentration of ARGs ranged from 4.58 × 10~0 to 5.0 × 10~5 copies/mL in water and from 5.78 × 10~3 to 5.89 × 10~8 copies/g dry weight(dw)in sediment. Sul1 exhibited the highest level among the five quantifiable ARGs. The concentrations of sul1, bla_(-TEM), and tetX exhibited significant positive correlations with intI1(p < 0.05), indicating that intI1 may be involved in their proliferation. The detection frequencies of ARGs ranged from 75%–10~0%, indicating the prevalence of these risks in this region. The concentration of Escherichia coli, Aeromonas spp., Mycobacterium avium,Pseudomonas aeruginosa, and Salmonella enterica ranged from 10~3 to 10~5 copies/10~0 mL in water and 10~4–10~6 copies/g dw in sediment. In total, 25% of the samples harbored all pathogen genes, indicating the prevalence of these pathogens in recreational ***, the next-generation sequencing results showed that 68 genera of pathogens were present, among which Aeromonas, Mycobacterium, and Pseudomonas were the dominant ones in this region, posing a considerable potential health risk to public health. Overall, the widespread distribution of ARGs and pathogens underscores the need to better monitor and mitigate their propagation in recreational lakes and the associated risks to human health.

关键词： Recreational water ARGs Class 1 integron Pathogen diversity and concentration

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Kinetic Modeling of Secondary Organic Aerosol in a Weather-Chemistry Model: Parameterizations, Processes, and Predictions for GOAmazon

ACS ES&T Air

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ACS ES&T Air 2025年第2期2卷 249-263页

作者： Yicong He Kelsey R. Bilsback Manish Shrivastava Rahul A. Zaveri John E. Shilling John H. Seinfeld Bin Zhao Shuxiao Wang Christopher D. Cappa Jeffrey R. Pierce Shantanu H. Jathar Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；PSE Healthy Energy Oakland California 94612 United States Pacific Northwest National Laboratory Richland Washington 99354 United States Divison of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Atmospheric Science Colorado State University Fort Collins Colorado 80521 United States Department of Civil and Environmental Engineering University of California Davis Davis California 95616 United States Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States

Secondary organic aerosol (SOA) forms and evolves in the atmosphere through many pathways and processes, over diverse spatial and time scales. Hence, there is a need to represent these widely varying kinetic processes in large-scale atmospheric models to allow for accurate predictions of the abundance, properties, and impacts of SOA. In this work, we integrated a kinetic, process-level model (simpleSOM-MOSAIC) into a weather-chemistry model (WRF-Chem) to simulate the oxidation chemistry and microphysics of atmospheric SOA. simpleSOM-MOSAIC simulates multigenerational gas-phase chemistry, autoxidation reactions, aqueous chemistry, heterogeneous oxidation, oligomerization, and phase-state-influenced gas/particle partitioning of SOA. As a case study, the integrated WRF-Chem-simpleSOM-MOSAIC (WC-SSM) model was used to simulate the photochemical evolution downwind of a large city (Manaus, Brazil) in the Amazon and, in turn, study the anthropogenic and biogenic interactions in an otherwise pristine environment. Consistent with previous work, we found that OA was enhanced by up to a factor of 4 in the urban plume due to elevated hydroxyl radical (OH) concentrations, relative to the background, and that this OA was dominated by SOA from biogenic precursors (80%). In addition to accurately simulating the OA enhancement in the urban plume, the model reproduced the magnitude of the OA oxygen-to-carbon (O:C) ratio and broadly tracked the evolution of the aerosol number size distribution. Our work highlights the importance of including an integrated, kinetic representation of SOA processes in an atmospheric model.

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Cost-Effective Instant Air Disinfection for Building Ventilation System by a Combination of Uv and Micro-Static Electricity

SSRN

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SSRN 2022年

作者： Xie, Yankai Zhu, Xiaojing Zhang, Pengyi Wang, Shan Yang, Jie Li, Jinge State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Beijing Key Laboratory for Indoor Air Quality Evaluation and Control Beijing100084 China

The increased threats of pathogenic bioaerosol make the air disinfection in heating, ventilation, and air conditioning (HVAC) systems crucial to occupants’ health. To satisfy the high efficiency, superspeed, and wide temperature range of HVAC air disinfection, UV irradiation and its combination with micro-static electricity were studied in two full-scale ducted ventilation systems. UV 254 could efficiently disinfect *** (>99%) at high temperature (31±2 °C) and low airflow rates (1.2 m sˉ 1 ) but was weakened at lower temperatures and higher airflow rates. Its combination with micro-static electricity could remarkably overcome these adverse factors and realize efficient disinfection within the retention time of 0.21 s. Especially for the relatively stubborn *** var. niger , the combination process improved the disinfection efficiency to 82% at 16±2°C and the airflow rate of 2.4 m sˉ 1 , while UV 254 was only 52.9%. Since the UV 185 disinfection was more effective than that of UV 254 , the UV 185 -based combination could further enhance the *** var. niger to 93.1%. Besides the disinfection stability, the combination process has advantages in pressure drop (around 50 Pa), energy consumption (e.g., 0.115 kW·h kmˉ 3 ), and equipment costs (1,500- 3,000 CNY), making it potentially cost-effective for air disinfection in HVAC systems. © 2022, The Authors. All rights reserved.

关键词： Ventilation

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The metal release and transformation mechanisms of V–Ti magnetite tailings: Role of the alternate flooding and drying cycles and organic acids

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Chemosphere 2024年 362卷 142709页

作者： Zhou, Dan Li, Chao Huang, Mingzheng Chen, Xiaoyan Xia, Yonglian Huang, Yi State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution College of Ecology and Environment Chengdu University of Technology Chengdu610059 China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu610059 China

V–Ti magnetite tailings (VTMTs) contain various heavy metals, such as Fe, Mn, V, Co, and Ni. The groundwater pollution caused by the tailing metal release has become a local environmental concern. Although studies have demonstrated the influence of alternate flooding and drying cycles (FDCs) on metal form and mobility in minerals, little was known about whether FDCs affect the metal release of VTMTs and the transformation of released metals. This study investigated the metal release kinetics of VTMTs and the metal transformation under FDCs in the absence and presence of acid rain (sulfuric and nitric acids) and bio-secreted organic acids (acetic, oxalic, and citric acids). The results showed that FDCs promoted metal release whether or not acids were present. The maximum released concentrations of V, Mn, Fe, Co, and Ni were as high as 78.63 mg L−1,1.47 mg L−1, 67.96 μg L−1, 1.34 mg L−1, and 0.80 mg L−1, respectively, under FDCs and citric acids. FDCs enhanced the tailing metal release by increasing the metal labile fraction proportion. However, the concentrations of released Fe, Mn, V, Co, and Ni all gradually decreased due to their (co-)precipitation. These precipitates conversely inhibited the subsequent mineral dissolution by covering the tailing surface. FDCs also enhanced the tailings’ porosities by 2.94%–9.94%. The mineral dissolution, expansion and shrinkage, and changes in tension destroyed the tailing microstructure during FDCs. This study demonstrated the low metal pollution risk of VTMTs under FDCs, either in acid rain or bio-secreted organic acids. However, the increase in tailing porosity should be seriously considered as it would affect the tailing pond safety. © 2024

关键词： Dissolution

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Climate and environmental Benefit Study of PV Resource Development: Case Study of Angola 2

Climate and Environmental Benefit Study of PV Resource Devel...

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2nd International Conference on Green Energy, environment and Sustainable Development, GEESD 2021

作者： Lei, Yu Lu, Xi Wang, Ying Guo, Haoqiang Wang, Yu Zhong, Zhuojun Dongfang Electric Engineering and Consulting Co. Ltd. Sichuan Chengdu611731 China School of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing10084 China

ISBN: (纸本)9781643682228

Vigorously promoting the development of photovoltaic (PV) resources is a positive measure taken by humanity in response to the changes in global climate and environment. At the same time, combining photovoltaic power generation systems with traditional power generation systems, using the advantages of different power generation systems to achieve real-time scheduling optimization has become an urgent problem to be solved in engineering applications. This paper attempts to study the climate and environmental benefits of the development of photovoltaic resource in Africa by taking Angola as an example based on actual project data. According to the characteristics, load requirements, seasonal characteristics and actual engineering background of Tombwa in Angola, a baseline Scenario and four comparative Scenarios were established, and the operating costs of the five Scenarios in local rainy season and dry season were obtained respectively. The cost of electricity for the five Scenarios calculated subsequently. Through real-time scheduling and optimization of the software, the emission characteristics of CO2, NOx and CO under five Scenarios are obtained, and the climate benefits and environmental benefits of the five scenarios are further analyzed and compared. The results show that the development of photovoltaic resources in Angola has good climate and environmental benefits. In addition, the combine application of diesel, PV and battery power system will be the most effective of the five Scenarios to reduce the CO2 emissions with the lowest levelized cost of electricity (LCOE) of 0.38 yuan/kwh, as a cost-effective solution in remote areas of Angola, Africa. © 2021 The authors and IOS Press.

关键词： Carbon dioxide

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Synergetic roadmap of carbon neutrality and clean air for China

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environmental Science and Ecotechnology 2023年第4期16卷 1-25页

作者： Qiang Zhang Zhicong Yin Xi Lu Jicheng Gong Yu Lei Bofeng Cai Cilan Cai Qimin Chai Huopo Chen Hancheng Dai Zhanfeng Dong Guannan Geng Dabo Guan Jianlin Hu Cunrui Huang Jianing Kang Tiantian Li Wei Li Yongsheng Lin Jun Liu Xin Liu Zhu Liu Jinghui Ma Guofeng Shen Dan Tong Xuhui Wang Xuying Wang Zhili Wang Yang Xie Honglei Xu Tao Xue Bing Zhang Da Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Bo Zheng Yixuan Zheng Tong Zhu Jinnan Wang Kebin He Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100012China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100012China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Environmental Policy Management Chinese Academy of Environmental PlanningBeijing100012China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control School of Environmental Science and EngineeringCollaborative Innovation Center of Atmospheric Environment and Equipment TechnologyNanjing University of Information Science and TechnologyNanjing210044China Vanke School of Public Health Tsinghua UniversityBeijing100084China Center for Energy and Environmental Policy Research Beijing Institute of TechnologyBeijing100081China China CDC Key Laboratory of Environment and Population Health National Institute of En

It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction,air quality improvement,and improved *** the context of carbon peak,carbon neutrality,and clean air policies,this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 *** 18 indicators cover the following five aspects:air pollution and associated weather-climate conditions,progress in structural transition,sources,inks,and mitigation pathway of atmospheric composition,health impacts and benefits of coordinated control,and synergetic governance system and *** tracking the progress in each indicator,this perspective presents the major accomplishment of coordinated control,identifies the emerging challenges toward the synergetic governance,and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.

关键词： Carbon neutrality Clean air Synergetic roadmap

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Unraveling the Role of P Doped Co@C in Diclofenac Degradation

SSRN

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SSRN 2024年

作者： Huang, Xiaoyi Fang, Shengqiong Yu, Shuili Yang, Junwei You, Qinglun College of Environment Science and Engineering Tongji University Shanghai200092 China College of Environment & Safety Engineering Fuzhou University Fuzhou350116 China State Key Joint Laboratory of Environmental Simulation and Pollution Control Beijing Key Laboratory for Emerging Organic Contaminants Control Beijing Laboratory for Environmental Frontier Technologies School of Environment Tsinghua University Beijing100084 China Shanghai University of Electric Power China

In order to overcome the low catalytic efficiency of conventional single cobalt-based catalysts, a novel cobalt-based peroxymonosulfate (PMS) heterogeneous catalyst, namely P-Co@C, was synthesized by introducing phosphorus. The degradation rate of diclofenac (DCF) was increased by 5-fold from 0.076 min-1 (Co@C) to 0.426 min-1 (P-Co@C). The enhanced catalytic behavior was ascribed to the increased specific area, promotional hydrophilicity, reduced resistance to electron transfer and improved electron donor of reductive phosphorus. Density functional theory (DFT) calculations suggest that the doped P further facilitates the adsorbability and charge transfer intensity between catalyst and PMS, which benefits the generation of hydroxyl radical, sulfate radical and singlet oxygen. Furthermore, toxicity assessment of the intermediates revealed that the P-Co@C/PMS/DCF system was a diminishing toxicity process, revealing the practicability and eco-friendly of P-Co@C in PMS-based oxidation process. This work provides a new strategy for exploring the cation and anion co-activation of the PMS heterogeneous catalytic systems. © 2024, The Authors. All rights reserved.

关键词： Density functional theory

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Unraveling the Role of P Doped Co@C in Diclofenac Degradation

SSRN

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SSRN 2024年

关键词： Density functional theory

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Self-feedback LSTM regression model for real-time particle source apportionment

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Journal of environmental Sciences 2022年第4期34卷 10-20页

作者： Wei Wang Weiman Xu Shuai Deng Yimeng Chai Ruoyu Ma Guoliang Shi Bo Xu Mei Li Yue Li Trusted AI System Laboratory College of Computer ScienceNankai UniversityTianjin 300350China KLMDASR Tianjin Key Laboratory of Network and Data Security TechnologyTianjin 300350China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and EngineeringNankai UniversityTianjin 300071China Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution Jinan UniversityGuangzhou 510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou 510632China

Atmospheric particulate matter pollution has attracted much wider attention *** recent years,the development of atmospheric particle collection techniques has put forwards new demands on the real-time source apportionments *** demands are summarized,in this paper,as how to set up new restraints in apportionment and how to develop a non-linear regression model to process complicated circumstances,such as the existence of secondary source and similar *** this study,we firstly analyze the possible and potential restraints in single particle source apportionment,then propose a novel three-step self-feedback long short-term memory(SF-LSTM)network for approximating the source *** proposed deep learning neural network includes three modules,as generation,scoring and refining,and regeneration *** from the scoring modules,SF-LSTM implants four loss functions representing four restraints to be followed in the apportionment,meanwhile,the regeneration module calculates the source contribution in a non-linear *** results show that the model outperforms the conventional regression methods in the overall performance of the four evaluation indicators(residual sum of squares,stability,sparsity,negativity)for the ***,in short time-resolution analyzing,SF-LSTM provides better results under the restraint of stability.

关键词： Time series Regression Self-feedback LSTM network Particle source apportionment

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Potential Assessment of Photovoltaic Power Generation in China Based on High Temporal Resolution Scale

Potential Assessment of Photovoltaic Power Generation in Chi...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Xi Huang Jiaxing Wang Jie Shi Yan Li Yuming Wang School of Mathematics Southeast University Nanjing China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing China School of Physics and Technology University of Jinan Jinan China Science and Engineering Tongji University College of Environmental Shanghai China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Photovoltaic (PV) power generation in China has experienced promising growth and will further become a significant sector of the power system in the near future. To further utilize the variable uncertain PV resources, the PV power generation resource assessment focusing on a high temporal resolution would greatly assist China in achieving its dramatic solar development goals. In this paper, the installed PV potential of every province in China is measured by the Energy Research Institute of the National Development and Reform Commission based on the radiation intensity and temperature data with a time step of 15 minutes. Thus the real-time PV power output of 31 provinces, along with the assessment results show that China's PV power potential is 4567.0 TWh/year, which is approximately equivalent to 60% of the total social electricity consumption in 2019; as for the spatial distribution, Inner Mongolia, Xinjiang, and Tibet possess the largest PV potential in China, with power generation potential of 1281.6 TWh/year, 576.0 TWh/year, and 394.3 TWh/year, respectively; there are large quarterly and monthly varieties in the availability of PV power generation in each province. There are large monthly and quarterly differences in the temporal availability of PV power generation in each province, with the difference between the highest availability month and the lowest availability month in every province generally being larger than 150%, and the PV output also fluctuates considerably during the day in different seasons in each province.

关键词： Temperature measurement Photovoltaic systems Electric potential Graphical models Uncertainty Electricity Real-time systems Power systems Power generation Distribution functions

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