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Assessing the health risk of heavy metals in vegetables to the general population in Beijing,China

Journal of Environmental Sciences 2009年第12期21卷 1702-1709页

作者： SONG Bo LEI Mei CHEN Tongbin ZHENG Yuanming xie yunfeng LI Xiaoyan GAO Ding Center for Environmental Remediation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100039 China

A systematic survey of As, Cd, Cr, Cu, Ni, Pb and Zn concentrations in vegetables from 416 samples （involving 100 varieties） in Beijing was carried out for assessing the potential health risk to local inhabitants. The results indicated that the metal concentrations in vegetables ranged from 〈 0.001 to 0.479 μg/g fresh weight （fw）（As）, 〈 0.001 to 0.101 μg/g fw （Cd）, 〈 0.001 to 1.04 μg/g fw （Cr）, 0.024 to 8.25μg/g fw （Cu）, 0.001 to 1.689 μg/g fw （Ni）, 〈 0.001 to 0.655 μg/g fw （Pb） and 0.01 to 25.6 μg/g fw （Zn）, with average concentrations of 0.013, 0.010, 0.023, 0.51, 0.053, 0.046 and 2.55 μg/g fw, respectively. The results showed that the concentrations of As, Cr, Cu, Cd, Pb and Ni in vegetables from open-fields were all significantly higher than those grown in greenhouses. In addition, in local-produced vegetables, all HMs except Zn were significantly higher than those in provincial vegetables. The estimated daily intake （EDI） of As, Cd, Cr, Cu, Ni, Pb and Zn from vegetables was 0.080, 0.062, 0.142, 3.14, 0.327, 0.283 and 15.7 μg/（kg body weight （bw）.d） for adults, respectively. Arsenic was the major risk contributor for inhabitants since the target hazard quotient based on the weighted average concentration （THQw） of arsenic amounted to 44.3% of the total THQ （TTHQ） value according to average vegetable consumption. The TTHQ was lower than 1 for all age groups, indicating that it was still safe for the general population of Beijing to consume vegetables.

关键词： heavy metals health risk estimated daily intake Beijing vegetable

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Lateral stability regulation of intelligent electric vehicle based on model predictive control

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Journal of Intelligent and Connected Vehicles 2021年第3期4卷 104-114页

作者： Cong Li yunfeng xie Gang Wang XianFeng Zeng Hui Jing Guilin University of Aerospace Technology GuilinChina Guilin University of Electronic Technology GuilinChina Huizhou Desay SV Automotive Co.LtdHuizhouChina

Purpose–This paper studies the lateral stability regulation of intelligent electric vehicle(EV)based on model predictive control(MPC)***/methodology/approach–Firstly,the bicycle model is adopted in the system modelling *** improve the accuracy,the lateral stiffness of front and rear tire is estimated using the real-time yaw rate acceleration and lateral acceleration of the vehicle based on the vehicle *** the constraint of input and output in the model predictive controller is *** constraints on the lateral speed of the vehicle are designed to guarantee the solved persistent feasibility and enforce the vehicle’s sideslip angle within a safety ***–The simulation results show that the proposed lateral stability controller based on the MPC algorithm can improve the handling and stability performance of the vehicle under complex working ***/value–The MPC schema and the objective function are *** integrated active front steering/direct yaw moments control strategy is simultaneously adopted in the *** vehicle’s sideslip angle is chosen as the constraint and is controlled in stable *** online estimation of tire stiffness is *** vehicle’s lateral acceleration and the yaw rate acceleration are modelled into the two-degree-of-freedom equation to solve the tire cornering stiffness in real *** can ensure the accuracy of model.

关键词： Intelligent electric vehicle Model predictive control Lateral stability control

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Visible-light-responsive homologous heterostructure of oxynitrides constructed to boost charge separation and water splitting

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Science China Chemistry 2025年第1期68卷 186-191页

作者： Hai Zou yunfeng Bao Xueshang Xin Yu Qi Tengfeng xie Fuxiang Zhang State Key Laboratory of Catalysis Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences School of Chemistry and Chemical Engineering Liaoning Normal University College of Chemistry Jilin University

Constructing type II heterostructures represents a widely recognized strategy for enhancing charge separation and photocatalytic efficiency,but it remains challenging to fabricate homologous heterostructures based on visible-light-responsive semiconductors,especially for popularly investigated （oxy）nitrides with low thermal ***,we synthesized a homologous heterostructure （denoted as YTON＿H） based on the oxynitrides of YTaO4-xNyand YTa *** heterostructure exhibits type II band structure alignment and intimate interface achieved through a magnesium （Mg） powder-assisted nitridation *** with widely reported heterologous heterostructures,the as-obtained YTON＿H homologous heterostructure could similarly exhibit enhanced charge separation as well as photocatalytic water splitting performance with respect to its counterparts(YTaO4-xNyand YTaON2).Meanwhile,detailed structural characterizations and spectroscopy analysis have been made to confirm the formation of heterostructure and promotion of spatial charge separation.

关键词： charge separation heterostructure oxynitride photocatalysis visible light

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Engineering practice of mechanical soil aeration for the remediation of volatile organic compound-contaminated sites in China： Advantages and challenges

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Frontiers of Environmental Science & Engineering 2016年第6期10卷 17-27页

作者： Yan Ma Xiaoming Du Yi Shi Deyi Hou Binbin Dong Zhu Xu Huiying Li yunfeng xie Jidun Fang Zheng Li Yunzhe Cao Qingbao Gu Fasheng Li School of Chemical and Environmental Engineering China University of Mining & Technology Beijing 100083 China Department of Soil Pollution Control State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China School of Environment Tsinghua University Beijing 100084 China Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites Beijing Municipal Research Institute of Environmental Protection Beijing 100037 China Shandong Key Laboratory of Eco-Environmental Science for Yellow River Delta Binzhou University Binzhou 256600 China

In recent years, many industrial enterprises located in the urban centers of China have been relocated owing to the rapid increase in urban development. At the sites abandoned by these enterprises, volatile organic compounds have frequently been detected, sometimes at high concentrations, particularly at sites abandoned by chemical manufacturing enterprises. With the redevelopment of sites and changes in land-use tvpe associated with these sites, substantial amounts of contaminated soils now require remediation. ＂Since China is a developing country, soil remediation warrants the usage of techniques that are suitable for addressing the unique challenges faced in this country. Land shortage is a common problem in China; the large numbers of contaminated sites, tight development schedules, and limited financial resources necessitate the development of .cost-effective methods for land *** soil aeration is a simple, effective, and low-cost soil remediation tectm^que mat is particularly suitable for the remediation of large volatile organic compound-contaminated sites. Its effectiveness has been confirmed by conducting laboratory studies, pilot tests, and full-scale *** study reviews current engineei-ing practice and developmental trends of mechanical soil aeration and analyzes the advantages and disadvantages of this technology for application in China as an emerging soil remediation market. The findings of this study might aid technology development in China, as well as assist other developing countries in the assessment and implementation of costeffective hazardous waste site soil remediation programs.

关键词： Soil contamination Volatile organic compound Mechanical soil aeration Engineering practice China

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TAD-Net:An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor[version 1;peer review:2 approved]

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Digital Twin 2021年第1期1卷 39-56页

作者： Qing Hong Yifeng Sun Tingyu Liu Liang Fu yunfeng xie School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing210094China China Electronics Technology Group 28th Research Institute Nanjing210007China School of Mechanical Engineering Southeast UniversityNanjing210096China

Background:Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor *** action has a significant impact on the production safety and efficiency of a shop-floor,however,because of the high individual initiative of humans,it is difficult to realize real-time action detection in a digital twin ***:We proposed a real-time detection approach for shop-floor production *** approach used the sequence data of continuous human skeleton joints sequences as the *** then reconstructed the Joint Classification-Regression Recurrent Neural Networks(JCR-RNN)based on Temporal Convolution Network(TCN)and Graph Convolution Network(GCN).We called this approach the Temporal Action Detection Net(TAD-Net),which realized real-time shop-floor production action ***:The results of the verification experiment showed that our approach has achieved a high temporal positioning score,recognition speed,and accuracy when applied to the existing Online Action Detection(OAD)dataset and the Nanjing University of Science and Technology 3 Dimensions(NJUST3D)***-Net can meet the actual needs of the digital twin ***:Our method has higher recognition accuracy,temporal positioning accuracy,and faster running speed than other mainstream network models,it can better meet actual application requirements,and has important research value and practical significance for standardizing shop-floor production processes,reducing production security risks,and contributing to the understanding of real-time production action.

关键词： Digital twin shop-floor Production action Real-time action detection TAD-Net TCN GCN

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聚甲醛的耐紫外光/耐候改性

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合成树脂及塑料 2015年第1期32卷 56-58页

作者：谢云峰唐山中浩化工有限公司河北省唐山市063611

研究了紫外光吸收剂、热稳定剂、光稳定剂等复合助剂对聚甲醛(POM)耐候性能的影响,并对改性前后的POM进行了人工加速老化测试和评价。结果表明:经人工加速老化500,1 000 h后,改性POM的拉伸强度、弯曲强度、悬臂梁缺口冲击强度保持率分... 详细信息

研究了紫外光吸收剂、热稳定剂、光稳定剂等复合助剂对聚甲醛(POM)耐候性能的影响,并对改性前后的POM进行了人工加速老化测试和评价。结果表明:经人工加速老化500,1 000 h后,改性POM的拉伸强度、弯曲强度、悬臂梁缺口冲击强度保持率分别达到104.0%和106.0%,106.0%和107.0%,68.9%和62.2%;老化前后改性POM颜色基本没有变化,远优于未经耐候改性POM的相应性能。

关键词：聚甲醛改性紫外光吸收剂耐候老化

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当前高校学生干部队伍存在的问题与对策

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丽水学院学报 2006年第6期28卷 86-89页

作者：谢云锋丽水学院学生处浙江丽水323000

高校学生干部作为学生中的骨干,在学校管理、教学工作中上牵下联,是保证全校教学工作稳定,推进各项工作健康发展的重要一环,同时也是学校教育和管理的一支不可缺少的依靠力量。全文分析了当前高校学生干部队伍存在的问题,阐述了解决问... 详细信息

高校学生干部作为学生中的骨干,在学校管理、教学工作中上牵下联,是保证全校教学工作稳定,推进各项工作健康发展的重要一环,同时也是学校教育和管理的一支不可缺少的依靠力量。全文分析了当前高校学生干部队伍存在的问题,阐述了解决问题的对策。

关键词：高校学生干部问题对策

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新能源电力系统运行备用量化概率的预测-决策一体化探究

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黑龙江科学 2024年第22期15卷 20-23,27页

作者：谢云锋河北蔚州能源综合开发有限公司河北张家口075700

为解决新能源发电功率间歇性和随机性问题,基于大气混沌特性展开对新能源电力系统与运行备用量化概率的预测研究,运用极限学习机分位数回归预测减小预测误差,保障系统运行安全。提出概率预测-决策一体化方案,围绕人工智能驱动,采用极限... 详细信息

为解决新能源发电功率间歇性和随机性问题,基于大气混沌特性展开对新能源电力系统与运行备用量化概率的预测研究,运用极限学习机分位数回归预测减小预测误差,保障系统运行安全。提出概率预测-决策一体化方案,围绕人工智能驱动,采用极限学习机分位数回归引入气象特征挖掘非参数区间预测方式对现有成本区间预测、约束条件等进行优化,设计集概率预测与决策一体的机器学习模型。研究结果显示,该方法有效克服了以往预测结果误差大、决策性能不足问题,降低了模型的复杂性,提高了管理协同性,保障了电力系统的安全、高效运行。

关键词：电力系统备用量化概率预测-决策

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高校网络舆情问题及应对策略

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丽水学院学报 2012年第1期34卷 98-101页

作者：谢云锋丽水学院理学院浙江丽水323000

随着信息时代的到来,网络已经渗透到高校的各个角落并日渐成为高校的新主流媒体。网络舆情拓展了同学们表达空间,成为高校党政决策的依据。但是,网络舆情如同一把双刃剑,既有利于改进高校工作,推进和谐校园的建设,也会给高校稳定和发展... 详细信息

随着信息时代的到来,网络已经渗透到高校的各个角落并日渐成为高校的新主流媒体。网络舆情拓展了同学们表达空间,成为高校党政决策的依据。但是,网络舆情如同一把双刃剑,既有利于改进高校工作,推进和谐校园的建设,也会给高校稳定和发展带来不利影响。应加强引导,把握舆情发展动向,确保网络舆情健康发展。

关键词：高校网络舆情应对引导

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高校贫困生认定工作所存在的问题与对策

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丽水学院学报 2009年第1期31卷 81-83页

作者：谢云锋丽水学院学生处浙江丽水323000

贫困生认定是高校贫困生资助工作中的重要环节,也是一大难点。针对当前贫困生认定工作所存在的问题提出了一些解决方法,以期进一步做好贫困生认定工作,提高资助对象的明确性和资助资金的有效性。

关键词：高校贫困生认定问题对策

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