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Antibiotic resistance genes in manure-amended paddy soils across eastern China:Occurrence and influencing factors

Frontiers of environmental Science & Engineering 2022年第7期16卷 101-111页

作者： Yuwei Guo Xian Xiao Yuan Zhao Jianguo Liu Jizhong Zhou Bo Sun Yuting Liang School of Environmental and Safety Engineering Changzhou UniversityChangzhou213164China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing210008China Institute for Environmental Genomics Department of Microbiology and Plant Biologyand School of Civil Engineering and Environmental SciencesUniversity of OklahomaNormanOK73019USA State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Earth and Environmental Sciences Lawrence Berkeley National LaboratoryBerkeleyCA94270USA

Pig manure,rich in antibiotics and metals,is widely applied in paddy fields as a soil conditioner,triggering the proliferation of antibiotic resistance genes(ARGs)in ***,comprehensive studies on the effects of manure fertilization on the abundance of ARGs and their influencing factors are still ***,pig manure and manure-amended and inorganic-amended soils were collected from 11 rice-cropping regions in eastern China,and the accumulation of antibiotics,metals,and ARGs was assessed *** results showed that manure fertilization led to antibiotic residues and increased the metal content(i.e.,Zn,Cu,Ni,and Cr).Tetracycline and sulfonamide resistance genes(tetM,tetO,sul1,and sul2)were also significantly enhanced with manure *** to variance partitioning analysis,the most important factors that individually influenced ARGs were soil physicochemical properties,accounting for 12%of the *** correlations between soil nutrients and ARGs indicated that manure application enhanced the growth of resistant microorganisms by supplying more *** and antibiotics contributed 9%and 5%to the variations in ARGs,*** co-occurrence also increased the enrichment of ARGs,as their interactions accounted for 2%of the variation in ***,Cu was significantly related to most ARGs in the soil(r=0.26–0.52,p<0.05).Sulfapyridine was significantly related to sul2,and tetracycline resistance genes were positively related to *** study highlighted the risks of antibiotic and ARG accumulation with manure fertilization and shed light on the essential influencing factors of ARGs in paddy soils.

关键词： Pig manure Antibiotics Metals Antibiotic resistance genes Paddy fields

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An Ecological-Network Input–Output Clustering Model for Analyzing CO2 Emission System 7th

An Ecological-Network Input–Output Clustering Model for Ana...

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Proceedings of 2022 7th International Conference on environmental Engineering and Sustainable Development (CEESD 2022)

作者： Wang, P.P. Huang, G.H. Li, Y.P. State Key Joint Laboratory of Environmental Simulation and Pollution Control China-Canada Center for Energy Environment and Ecology Research UR-BNU School of Environment Beijing Normal University Beijing100875 China Faculty of Engineering and Applied Science University of Regina ReginaSKS4S 0A2 Canada

ISBN: (纸本)9783031281921

Excessive carbon dioxide (CO2) emission has been challenges to regional sustainable development. In this study, an ecological-network input–output clustering (ENIOC) model is developed to analyze CO2 emission system. ENIOC can recognize the complex characteristics and relationships within CO2 emission system from network and statistical perspectives. ENIOC is applied to Jiangsu. Some major findings are as follows: (i) electricity-heat supply and metal smelting industries are dominant CO2 emission contributors (i.e., 16.4% and 12.3% of the total CO2 emission, respectively);also, they provide plenty of carbon-intensive products for supporting construction and heavy industries;(ii) the CO2 emission system is relatively unstable;optimize the structure of key pathways (e.g., mining → metal smelting → metal products) could mitigate CO2 emission across the supply chain;(iii) CO2 mitigation policy should focus on the sectors in cluster 2 (e.g., chemical, metal product and equipment industries) to reduce their dependency on carbon-intensive products from other sectors;CO2 mitigation policy also should focus on metal smelting and electricity-heat supply industries (i.e., the sectors in cluster 3) to improve their efficiencies of energy use. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Carbon dioxide

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From the headwaters to the sea:The role of riparian,alluvial,and tidal wetlands to filter nutrients and ameliorate eutrophication

River

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River 2022年第2期1卷 133-141页

作者： Christopher B.Craft Shanze Li Tian Xie School of Public and Environmental Affairs Indiana UniversityIndianaBloomingtonUSA University of Georgia Marine Institute DarienGeorgiaUSA State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijingChina Department of Water Ecology and Environment China Institute of Water Resources and Hydropower ResearchBeijingChina State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijingChina

Wetlands are known for their ability to trap sediment and eliminate pollutants from the surrounding ***,less is known regarding the differential role of headwater,mid-catchment,and coastal wetlands in filtering these *** accretion,organic carbon(C),total nitrogen(N),and total phosphorus(P)were measured in wetlands from the headwaters to the mouth of the Altamaha River,Georgia,USA to assess how sediment deposition,C sequestration,and N and P burial vary along the *** cores(n=2 per site)were collected from riparian,upper and lower alluvial,tidal freshwater forest and marsh,brackish marsh,and salt ***-centimeter depth increments were analyzed for^(137)Cs,to determine soil accretion,bulk density,and C,N,and P *** exhibited a bimodel distribution with the highest rates in riparian wetlands of the headwaters(3.9 mm/year)and in tidal fresh and brackish marshes(4.7–5.4 mm/year)of the *** rates were considerably lower in alluvial and tidal fresh forests and salt marshes(0.9–2.5 mm/year).Carbon sequestration and N burial followed a similar trend with the greatest accumulation in soils of tidal fresh and brackish marshes(102–150 g C/m^(2)/year,7.1–9.5 g N/m^(2)/year)that had not only high accretion but also high organic matter content(11%–12%C).Riparian soils with their low C content,high bulk density,and high P content had much greater sediment deposition(3310 g/m^(2)/year)and P burial(2.75 g P/m^(2)/year)than other wetlands along the waterway(180–1730 g sediment/m^(2)/year,0.23–0.90 g P/m^(2)/year).Results suggest that,in the Altamaha River,sediment deposition and P removal are maximized in the headwaters thereby protecting downstream freshwaters from the effects of P *** fresh and brackish marshes with their high rates of N burial can aid in protecting estuaries from N enrichment,many of which suffer from the effects of N *** from this study are scalable to other r

关键词： eutrophication organic matter soil accretion topography wetlands

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Assessing the Significance of Regional Transport in Ozone pollution through Machine Learning: A Case Study of Hainan Island

ACS ES&T Air

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ACS ES&T Air 2025年第3期2卷 416-425页

作者： Jun Liu Meiru Chen Biwu Chu Tianzeng Chen Qingxin Ma Yonghong Wang Peng Zhang Hao Li Bin Zhao Rongfu Xie Qing Huang Shuxiao Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；University of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；University of Chinese Academy of Sciences Beijing 100049 China School of Environment Tsinghua University Beijing 100084 China College of Ecology and Environment Hainan University Haikou 570228 China；Hainan Research Academy of Environmental Sciences Haikou 571126 China School of Environmental Science and Engineering Hainan University Haikou 570228 China

Regional transport of air pollutants is a serious challenge to outdoor O3pollution control. Characterizing the transport of air pollutants by traditional air quality models heavily relies on accurate precursor emission inventories, chemical reaction mechanisms, and meteorological factors. In this study, the pollutant concentrations of upwind cities were incorporated as features into a random forest regression model (Traj-RF) to investigate the contribution of regional transport to local O3pollution. Hainan island was selected as the target area in this study, due to its air quality being affected significantly by regional transport. The Traj-RF model shows good predictive performance for O3with a coefficient of determination (R2) of 0.68 on the independent test set based on only observed air pollutants concentrations and meteorological data. The results of the Traj-RF model show that direct O3transport from upwind areas contributes approximately 27.5% to the O3concentration in Hainan, effectively highlighting the substantial role of regional transport in Hainan’s O3pollution. This refined machine learning method may have the potential to assess the impact of pollutant transport on regional air quality.

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Synergetic Planning of Multi-regional Energy System Under Climate Change and Uncertainty 7th

Synergetic Planning of Multi-regional Energy System Under Cl...

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Proceedings of 2022 7th International Conference on environmental Engineering and Sustainable Development (CEESD 2022)

作者： Li, Y.F. Li, Y.P. Huang, G.H. State Key Joint Laboratory of Environmental Simulation and Pollution Control China-Canada Center for Energy Environment and Ecology Research UR-BNU School of Environment Beijing Normal University Beijing100875 China Faculty of Engineering and Applied Science University of Regina ReginaSKS4S 0A2 Canada

ISBN: (纸本)9783031281921

Climate change and uncertainty have significant impacts on the multi-regional energy system in terms of both supply and demand. In this study, a multi-regional energy model is developed based on the interval linear programming method. The model could not only describe the complex relationship between inter-regional interaction and energy transmission in detail, but also provide optimal schemes for regulating electricity generation mix, mitigating carbon emissions, and minimizing system cost. The results show that: (i) from 2021 to 2050, the proportion of fossil fuels in energy and electricity supply will show a decreasing trend, and the regional energy and electricity structure will be optimized;(ii) under the RCP4.5 scenarios, regional carbon emissions will peak around 2040 and show a decreasing trend after the peak, with a reduction of about 1.45%;(iii) the BTH region should bear additional costs of carbon emission reduction under the RCP4.5 scenarios, the total system cost is about 1.2 times of that under the RCP8.5 scenarios. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Climate change

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Grey Prediction Based Input–Output Model for Analyzing Potential Energy-Related Emission Mitigation Pathways: A Case Study of Fujian 14th

Grey Prediction Based Input–Output Model for Analyzing Pote...

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14th International Conference on environmental Science and Technology, ICEST 2023

作者： Sun, Z.M. Liu, J. Li, Y.P. School of Environmental Science and Engineering Xiamen University of Technology Xiamen361024 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Faculty of Engineering and Applied Science University of Regina ReginaSKS4S 0A2 Canada

ISBN: (纸本)9783031546839

Economic activities release pollutants and carbon (mainly CO2) directly by consuming energy resources and indirectly by using energy-intensive goods. This research put forwards a grey model (GM) (1, 1) based input–output model (GIOM) for simulating pollutants and CO2 emissions in Fujian Province under varied socio-economic development scenarios. Major findings are: (i) in the planning period, Agriculture, forestry, animal husbandry and fishery (AGR) is the main sector for wastewater emissions in the planning period, and manufacturing and materials and energy conversion (MEC) sectors will be the main sectors for emissions of waste gases and CO2 in the planning period;(ii) through the simulation, the total energy consumption in Fujian Province increases by 13.53–51.08%, Metal and nonmetal products (MAN), MEC and Wholesale and retail transportation and warehousing (WRT) are the main energy consumers;(iii) the COD, NH3–N, SO2, and NOx emissions decrease 24.55–70.11%, 24.53–70.83%, 27.11–70.55% and 22.47–72.00% over time, and the CO2 emissions range from an increase of 36.35% to a decrease of 5.98% over time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Carbon dioxide

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Corrigendum to“Emerging Organic Contaminants in Chinese Surface Water:Identification of Priority Pollutants”[Engineering 11(2022)111-125]

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Engineering 2023年第12期31卷 139-140页

作者： Mengmeng Zhong Tielong Wang Wenxing Zhao Jun Huang Bin Wang Lee Blaney Qingwei Bu Gang Yu Beijing Key Laboratory for Emerging Organic Contaminants Control State Key Joint Laboratory of Environment Simulation and Pollution Control(SKLESPC)School of EnvironmentTsinghua UniversityBeijing 100084China Department of Chemical Biochemicaland Environmental EngineeringUniversity of Maryland Baltimore CountyBaltimoreMD 21250USA School of Chemical and Environmental Engineering China University of Mining and Technology-BeijingBeijing 100083China

The authors regret that the acceptable daily intake(ADI)values of 0.082 μg·kg^(-1)·d^(-1) for N,N-diethyl-3-methyl benzoyl amide(DEET),0.19 μg·kg^(-1)·d^(-1) for triclosan,and 0.83 μg·kg^(-1)·d^(-1) for acetaminophen cited from a review by Murray et al.[1],as shown in Table S4 in Appendix A of the original article,were not correct.

关键词： benzoyl diethyl

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Combating air pollution significantly reduced air mercury concentrations in China

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National Science Review 2024年第9期11卷 202-212页

作者： Xinbin Feng Xuewu Fu Hui Zhang Xun Wang Longyu Jia Leiming Zhang Che-Jen Lin Jen-How Huang Kaiyun Liu Shuxiao Wang State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of Sciences University of Chinese Academy of Sciences Air Quality Research Division Science and Technology BranchEnvironment and Climate Change Canada Center for Advances in Water and Air Quality Lamar University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University College of Environmental Science and Engineering North China Electric Power University

In the past decade, China has motivated proactive emission control measures that have successfully reduced emissions of many air pollutants. For atmospheric mercury, which is a globally transported neurotoxin,much less is known about the long-term changes in its concentrations and anthropogenic emissions in China. In this study, over a decade of continuous observations at four Chinese sites show that gaseous elemental mercury（GEM） concentrations continuously increased until the early 2010s, followed by significant declines at rates of 1.8%–6.1% yr-1until 2022. The GEM decline from 2013 to 2022（by38.6% ± 12.7%） coincided with the decreasing concentrations of criteria air pollutants in China and were larger than those observed elsewhere in the northern hemisphere（5.7%–14.2%）. The co-benefits of emission control measures contributed to the reduced anthropogenic Hg emissions and led to the GEM decline in China. We estimated that anthropogenic GEM emissions in China were reduced by 38%–50%（116–151 tons） from 2013 to 2022 using the machine-learning and relationship models.

关键词： atmospheric mercury long-term trend anthropogenic emission reductions co-benefits of clean air action

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Emissions of volatile organic compounds from Chinese coal-fired power plants: Characteristics, source profile, inventories, and impacts

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Science of the Total environment 2024年 947卷 174304页

作者： Fu, Zhiqiang Liu, Wei Bai, Xiaoxuan Yang, Junqi Wu, Bobo Tian, Hezhong State Key Joint Laboratory of Environmental Simulation & Pollution Control School of Environment Beijing Normal University Beijing100875 China Center for Atmospheric Environmental Studies Beijing Normal University Beijing100875 China

Volatile organic compounds (VOCs) are key precursors for secondary organic aerosols (SOA) and ozone, imposing severe impacts on human health and environment. Considering the massive coal consumption, coal fired power plants (CFPPs) in China are non-negligible VOCs contributors, whose emission characteristics remain inadequately understood. Here, we investigated emission characteristics of 117 VOCs by field tests in four typical CFPPs, and a latest localized CFPPs source profile was compiled by integrating literature reviews. Then speciated-VOCs emission inventories for 2018–2022 were established based on dynamic emission factors and unit-level activity data. The results suggested that oxygenated VOCs (OVOCs) constituted the dominant group (76.5 %), with propionaldehyde (32.0 %) and formaldehyde (24.5 %) being the predominant species. OVOCs (93.2 %) and aromatics (77.4 %) were identified as the primary contributors to ozone and SOA, respectively. Driven by both the rise in coal consumption and technological advancements, nationwide VOCs emissions decreased from 83,393 t in 2018 to 53,251 t in 2022. Regional disparities and varying rates of decline in provincial emissions were evident, with VOCs emissions predominantly concentrated in northern and eastern provinces. Neimenggu, Shandong, Shanxi, Jiangsu, and Guangdong were identified as the top five provinces with the highest emissions. We believe this study would be conducive to a more comprehensive understanding and effective control of VOCs emissions from CFPPs in China. © 2024 Elsevier B.V.

关键词： Coal fired power plant

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The role of plant uptake in total phosphorous and total nitrogen removal in vegetated bioretention cells using vetiver and cattail

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Chemosphere 2024年 364卷 143276页

作者： Narayanasamydamodaran, Sanjena Kumar, Nawnit Zuo, Jian'e State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Key Laboratory of Hydroscience and Hydraulic Engineering Tsinghua University Beijing China Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Shenzhen518055 China

Bioretention cells have emerged as a prominent strategy for mitigating pollutant loads within urban stormwater runoff. This study delves into the role of plant uptake in the simultaneous removal of nitrogen and phosphorus compounds within these systems. Three bioretention cells—CP, P1, and P2—were constructed using local soil, C33 sand, and gravel. CP served as the unvegetated control, while P1 and P2 were vegetated with vetiver and cattail, respectively. The removal efficiencies of NO₃⁻-N, NH₃⁻-N, NO₂⁻-N, TN, TP, and COD from rainwater were evaluated under saturated and unsaturated conditions. The unvegetated control reactor (CP) achieved TN and TP removal rates of 40.44% and 82.52%, respectively. Reactor P1 (vetiver) demonstrated TN and TP removal rates of 62.92% and 97.19%, respectively. Reactor P2 (cattail) showed TN and TP removal rates of 49.71% and 87.78%, respectively. With the introduction of a saturation zone, TN removal efficiencies increased to 51.69%, 89.22%, and 79.91% for CP, P1, and P2, respectively. However, TP removal efficiencies decreased to 74.81%, 95.04%, and 84.58% for CP, P1, and P2, respectively. Plant tissue uptake tests indicated that vetiver could retain 5 times more TN and twice as much TP compared to cattail. This enhanced performance is attributed to vetiver's high photosynthetic potential as a C4 plant, resilience to varying environmental and nutrient conditions, extensive root network, secretion of oil sesquiterpenes from its root cortex, and the presence of arbuscular mycorrhizal fungi, which secrete glomalin, a substance that promotes water retention and nutrient uptake. Findings from this study indicate that the efficacy of traditional bioretention cells can be augmented through the strategic selection and integration of locally adapted plant species, coupled with the incorporation of saturation zones, to enhance pollutant removal capabilities and resilience to drought conditions. © 2024

关键词： Nitrogen removal

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