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Enhancing the Efficiency of Enterprise Shutdowns for environmental Protection:An Agent-Based Modeling Approach with High Spatial–Temporal Resolution Data

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Engineering 2024年第11期42卷 295-307页

作者： Qi Zhou Shen Qu Miaomiao Liu Jianxun Yang Jia Zhou Yunlei She Zhouyi Liu Jun Bi School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Center for Energy and Environmental Policy Research Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210023China The Center of Enterprise Green Governance Chinese Academy of Environmental PlanningBeijing 100012China State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation Chinese Academy of Environmental PlanningBeijing 100012China

Top-down environmental policies aim to mitigate environmental risks but inevitably lead to economic losses due to the market entry or exit of *** study developed a universal dynamic agent-based supply chain model to achieve tradeoffs between environmental risk reduction and economic *** model was used to conduct high-resolution daily simulations of the dynamic shifts in enterprise operations and their cascading effects on supply chain *** includes production,con-sumption,and transportation agents,attributing economic features to supply chain components and cap-turing their *** also accounts for adaptive responses to daily external shocks and replicates realistic firm *** coupling high spatial-temporal resolution firm-level data from 18916 chemical enterprises,this study investigates the economic and environmental impacts of an environmen-tal policy resulting in the closure of 1800 chemical enterprises over three *** results revealed a significant economic loss of 25.8 billion USD,ranging from 23.8 billion to 31.8 billion ***,over 80%of this loss was attributed to supply chain *** analyses indicated that imple-menting a staggered shutdown strategy prevented 18.8%of supply chain losses,highlighting the impor-tance of a gradual policy implementation to prevent abrupt supply chain ***,the study highlights the effectiveness of a multi-objective policy design in reducing economic losses(about 29%)and environmental risks(about 40%),substantially enhancing the efficiency of the environmental *** high-resolution simulations provide valuable insights for policy designers to formulate strategies with staggered implementation and multiple objectives to mitigate supply chain losses and environmental risks and ensure a sustainable future.

关键词： Agent-based model Supply chain network Economic sustainability environmental policy

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Deciphering environmental factors influencing phytoplankton community structure in a polluted urban river

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Journal of environmental Sciences 2025年第2期148卷 375-386页

作者： Xiaxia Li Kai Chen Chao Wang Tianyu Zhuo Hongtao Li Yong Wu Xiaohui Lei Ming Li Bin Chen Beibei Chai School of Water Conservancy and Hydroelectric Power Hebei University of EngineeringHandan 056038China Collaborative Innovation Center for Intelligent Regulation and Comprehensive Management of Water Resources School of Water Conservancy and HydroelectricHebei University of EngineeringHandan 056038China Hebei Key Laboratory of Intelligent Water Conservancy Hebei University of EngineeringHandan 056038China Tianjin Water Group Binhai Water Co. Ltd.Tianjin 300308China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China School of Architecture and Civil Engineering Xi’an University of Science and TechnologyXi’an 710054China Chengdu University of Technology Chengdu 610059China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China

Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in *** phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution ***,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel *** environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation *** the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA ***α-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic *** growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water *** analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton *** results could be useful for implementing comprehensive management of the river basin *** is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.

关键词： environmental DNA Microscopic count Phytoplankton growth Structural equation modeling Tuojiang River Basin

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Full-Volatility Reactive Organic Carbon Emissions from Volatile Chemical Products in Mainland China

ACS ES&T Air

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ACS ES&T Air 2024年第12期1卷 1541-1553页

作者： Yangjun Wang Jiayu Huang Bin Zhao Yufei Du Ling Huang Demian Lai Qingfang Su Kasemsan Manomaiphiboon Li Li School of Environmental and Chemical Engineering Shanghai University Shanghai 200444 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China The Joint Graduate School of Energy and Environment King Mongkut’s University of Technology Thonburi Bangkok 10140 Thailand

Volatile chemical products (VCPs), including personal care products, general cleaners, architectural coatings, pesticides, adhesives, and others, are becoming increasingly significant anthropogenic sources of reactive organic carbon (ROC) in China. These ROC serve as critical precursors to ozone (O3) and secondary organic aerosols (SOAs). Therefore, it is essential to estimate ROC emissions from VCPs in China accurately. In this study, the VCPy framework developed by the U.S. EPA was used to simulate ROC evaporative emissions from VCPs in mainland China, and its emission inventory was established. The results indicate that in 2019, the total ROC emissions from VCP sources in mainland China amounted to 9.4 Tg (6.9 TgC) with a 95% confidence interval of 8.4–11.8 Tg (6.2–8.7 TgC). The category of paints and coatings emerged as the dominant contributor to ROC emissions, emitting 6.0 Tg (4.4 TgC), accounting for 63.7% of total ROC emissions, followed by the category of cleaning products at 11.2% and the category of adhesives at 10.1%. Among ROC emissions, volatile organic compounds (VOCs) accounted for the largest proportion, followed by intermediate-volatility organic compounds (IVOCs), accounting for 23.6%. Oxygenated organic compounds and aromatics were the dominant components emitted from VCPs, accounting for 48.0% and 31.0% of ROC emission mass, respectively. Moreover, the mass proportion of oxygenated organic compounds in IVOC emissions was 72.0%. However, oxygenated organic compounds and aromatics were still predominantly emitted in the form of VOCs. Additionally, the O3formation potential (OFP) and SOA formation potential (SOAFP) of the ROC emissions from VCPs were estimated at 32.0 and 0.5 Tg, respectively, suggesting the significant impact of ROC emissions on O3and SOA from VCP sources. Emissions of oxygenated organic compounds contributed significantly to OFP and SOAFP by 33.8% and 17.1%, respectively. By comparing with measurement data, the VCPy framework can

关键词：

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Water quality prediction of copper-molybdenum miningbeneficiation wastewater based on the PSO-SVR model

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Frontiers of environmental Science & Engineering 2023年第8期17卷 81-94页

作者： Xiaohua Fu Qingxing Zheng Guomin Jiang Kallol Roy Lei Huang Chang Liu Kun Li Honglei Chen Xinyu Song Jianyu Chen Zhenxing Wang Ecological Environment Management and Assessment Center Central South University of Forestry and TechnologyChangsha 410004China State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental SciencesMinistry of Ecology and EnvironmentGuangzhou 510655China Chinese Non-Ferrous Industrial Engineering Center of Pollution Control Technology&Equipment Science Environment Protection Co.Ltd.Changsha 410036China Institute of Computer Science University of TartuTartu 51009Estonia School of Environmental Science and Engineering Guangzhou UniversityGuangzhou 510006China A.B Freeman School of Business Tulane UniversityNew OrleansLA 70118USA Guangzhou Huacai Environmental Protection Technology Co. Ltd.Guangzhou 511480China

The mining-beneficiation wastewater treatment is highly complex and *** factors like influent quality,flow rate,pH and chemical dose,tend to restrict the effluent effectiveness of miningbeneficiation wastewater *** oxygen demand(COD)is a crucial indicator to measure the quality of mining-beneficiation *** COD concentration accurately of miningbeneficiation wastewater after treatment is essential for achieving stable and compliant *** reduces environmental risk and significantly improves the discharge quality of *** paper presents a novel AI algorithm PSO-SVR,to predict water *** optimization of our proposed model PSO-SVR,uses particle swarm optimization to improve support vector regression for COD *** generalization capacity tested on out-of-distribution(OOD)data for our PSOSVR model is strong,with the following performance metrics of root means square error(RMSE)is 1.51,mean absolute error(MAE)is 1.26,and the coefficient of determination(R2)is *** compare the performance of PSO-SVR model with back propagation neural network(BPNN)and radial basis function neural network(RBFNN)and shows it edges over in terms of the performance metrics of RMSE,MAE and R2,and is the best model for COD prediction of mining-beneficiation *** is because of the less overfitting tendency of PSO-SVR compared with neural network *** proposed PSO-SVR model is optimum for the prediction of COD in copper-molybdenum mining-beneficiation wastewater *** addition,PSO-SVR can be used to predict COD on a wide variety of wastewater through the process of transfer learning.

关键词： Chemical oxygen demand Mining-beneficiation wastewater treatment Particle swarm optimization Support vector regression Artificial neural network

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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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Identification Of key Anthropogenic Voc Sources controlling O3 And Soa Formation in Fuzhou, China, by Combining Multi-Site Observation and Emission Inventory

SSRN

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SSRN 2024年

作者： Shi, Yuqi Simayi, Maimaiti Ren, Jie Zeng, Limin Yu, Xuena Xi, Ziyan Xie, Shaodong College of Environmental Sciences and Engineering State Key Joint Laboratory of Environmental Simulation and Pollution Control Peking University Beijing100871 China College of Resources and Environments Xinjiang Agricultural University Xinjiang Urumqi830052 China

An assessment was carried out to understand the patterns of pollution caused by volatile organic compounds (VOCs) and pinpoint their primary origins in Fuzhou, China. Fuzhou is a significant city within the economic region along the western coast of the Taiwan Straits. To accomplish this, air samples were gathered and analyzed from nine different locations within the urban and suburban regions of Fuzhou over a period from December 2018 to October 2019. Simultaneously, for the year 2019, a detailed county-level inventory of human-made VOC emissions was developed using a "bottom-up" approach. Then, the comparison and combination of the results of ambient observation and emission inventory were made in speciated emissions, spatial variations, source structures, and secondary pollutants formation contributions. In Fuzhou, the yearly average concentrations of VOCs were found to be 41.17 ppbv. This composition was largely made up of OVOCs taking up 45.6%, and alkanes at 24.10%. These compounds exhibited distinctive patterns in both time and space, with elevated levels primarily in the northwest and southeast of the urban area, peaking in April. The spatial patterns of VOCs projected by the calculated emissions closely matched the actual measurements taken from the environment. Furthermore, the source profiles derived from the Positive Matrix Factorization model showed consistency with the findings from the emission data. Both methods showed that the VOCs emitted from mobile vehicles contributed the most to ozone formation in Fuzhou, whereas the industry had the most prominent impact on secondary organic aerosol (SOA) formation. Based on the verified emission inventory, passenger cars, synthetic fibers manufacturing, furniture coating, and paint & related manufacturing were key VOC sources that should be preferentially controlled to effectively improve air quality in Fuzhou. Moreover, it is necessary to update local source profiles of aromatics and halocarbons by field mea

关键词： Volatile organic compounds

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Industry benchmark research of Beijing carbon trade pilot: A case study in thermal industry

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Zhongguo Huanjing Kexue/China environmental Science 2023年第1期43卷 456-464页

作者： Chen, Cao-Cao Qiu, Da-Qing Liu, Geng-Yuan Zhang, Yue Tian, Tian-Qi Yu, Feng-Ju Song, Dan Sun, Fen Fan, Yi-Ran Hu, Yong-Feng Wang, Li-Bo Wang, Xin-Shuang Hu, Jing Beijing Climate Change Management Centre Beijing100086 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China

This paper took carbon emissions industry benchmark of heating industry in Beijing pilot carbon market as an example. Based on the verified enterprises data of the heating industry from 2013 to 2019, this study analysed 4kinds of benchmark scenarios. Following the Beijing atmospheric pollution control, the clean transformation of the coal-fired heating industry was basically completed. Taking 2017 as the turning point, the heating intensity was transitioned from a rapid decline to a stable state, and it was appropriate to choose a more recent historical year as the base year for analysis. The benchmark value of the heating industry in Beijing should be set as 63.1kgCO2/GJ after assessing the advancement of comprehensive evaluation benchmark value and comparing the proportion of the industry degree of surplus quota and quota insufficient enterprise. This benchmark value in this research was stricter than the published energy consumption limit standard for local heating industries in Beijing, and it was in good agreement with the published advanced carbon emission value of the Beijing heating industry. After the transformation of the heating industry in Beijing from the historical intensity method to the benchmark method, the fairness of this method was further improved compared with the historical intensity method, by drawing a uniform baseline and making the overall quota of the industry inadequate. This study has a positive role in promoting the reconstruction of thermal system under the urban carbon neutrality target. © 2023 Chinese Society for environmental Sciences. All rights reserved.

关键词： Carbon

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One-step ball milling-prepared nano Fe2O3 and nitrogendoped graphene with high oxygen reduction activity and its application in microbial fuel cells

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Frontiers of environmental Science & Engineering 2020年第2期14卷 185-195页

作者： Xingguo Guo Qiuying Wang Ting Xu Kajia Wei Mengxi Yin Peng Liang Xia Huang Xiaoyuan Zhang State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Developing high activity,low-cost and long durability catalysts for oxygen reduction reaction is of great significance for the practical application of microbial fuel *** ftill exposure of active sites in catalysts can enhance catalytic activity ***,novel Fe-N-doped graphene is successftilly synthesized via a one-step in situ ball milling *** graphite,ball milling graphene,N-doped graphene and Fe-N-doped graphene are applied in air cathodes,and enhanced performance is observed in microbial fuel cells with graphene-based ***,Fe-Ndoped graphene achieves the highest oxygen reduction reaction activity,with a maximum power density of 1380±20 mW/m^2 in microbial fUel cells and a current density of 23.8 A/m^2 at-0.16 V in electrochemical tests,which are comparable to commercial Pt and 390%and 640%of those of pristine *** investigation of the material characteristics reveals that the superior performance of Fe-Ndoped graphene results from the full exposure of Fe2O3 nanoparticles,pyrrolic N,pyridinic N and excellent Fe-N-G active sites on the graphene *** work not only suggests the strategy of maximally exposing active sites to optimize the potential of catalysts but also provides promising catalysts for the use of microbial fuel cells in sustainable energy generation.

关键词： Microbial fuel cells Air cathodes Nano Fe2O3 and nitrogen-doped graphene Oxygen reduction reaction

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Mechanism of phenanthrene degradation by the halophilic Pelagerythrobacter sp. N7

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Chemosphere 2024年 350卷 141175页

作者： Li, Xiangjin Cao, Xinghong Zhang, Zuotao Li, Yichun Zhang, Yue Wang, Chongyang Fan, Weihua Miami College Henan University Henan Kaifeng475000 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

PAHs has shown worldwide accumulation and causes a significant environmental problem especially in saline and hypersaline environments. Moderately halophilic bacteria could be useful for the bioremediation of PAH pollution in hypersaline environments. Pelagerythrobacter sp. N7 was isolated from the PAH-degrading consortium 5H, which was enriched from mixed saline soil samples collected in Shanxi Province, China. 16S rRNA in the genomic DNA revealed that strain N7 belonged to Pelagerythrobacter. Strain N7 exhibited a high tolerance to a wide range of salinities (1–10%) and was highly efficient under neutral to weak alkaline conditions (pH 6–9). The whole genome of strain N7 was sequenced and analyzed, revealing an abundance of catabolic genes. Using the whole genome information, we conducted preliminary research on key enzymes and gene clusters involved in the upstream and downstream PAH degradation pathways of strain N7, thereby inferring its degradation pathway for phenanthrene and naphthalene. This study adds to our understanding of PAH degradation in hypersaline environments and, for the first time, identifies a Pelagerythrobacter with PAH-degrading capability. Strain N7, with its high efficiency in phenanthrene degradation, represents a promising resource for the bioremediation of PAHs in hypersaline environments. © 2024 Elsevier Ltd

关键词： Bioremediation

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Aerobic granular sludge formation based on substrate availability:Effects of flow pattern and fermentation pretreatment

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Frontiers of environmental Science & Engineering 2020年第3期14卷 155-164页

作者： Quan Yuan Hui Gong Hao Xi Kaijun Wang State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

The influences of flow patterns(mixed-flow and plug-flow)and fermentation pretreatment on aerobic granular sludge(AGS)formation with various substrate availability levels were investigated by running four identical laboratory-scale sequencing batch reactors(R1-R4),comparing two anaerobic feeding strategies and three kinds of substrates.R1 achieved faster granulation with a fast influent fill step followed by a modified anaerobic mixed-flow phase,but the AGS showed poorer stability with a cracked structure and a high suspended solids concentration in the *** anaerobic plug-flow feeding mode(with influent fed slowly from the bottom)in R2 provided deeper penetration depth for the substance to reach the core of A G S and accordingly strengthen A G S *** acidogenic upflow sludge bed reactor was introduced as a pretreatment to improve the AGS performance by enhancing glucose pre-fermentation(R4).AGS fed with mixed volatile fatty acids(VFA)after glucose fermentation showed similar performance compared with the reactor fed with acetate in the aspects of stability,structure,size distribution and nitrogen removal efficiency,and 74%similarity in the microbial *** actual wastewater with low VFA concentrations,fermentation treatment was suggested as a promising pretreatment for stable AGS granulation and operation.

关键词： Anaerobic plug-flow feeding mode Anaerobic mixed-flow mode Fermentation pretreatment Substrate gradient Penetration depth

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