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Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity

Frontiers of Environmental Science & Engineering 2021年第2期15卷 155-168页

作者： Jiangbo Jin Yun Zhu Jicheng Jang Shuxiao Wang Jia Xing Pen-Chi Chiang Shaojia Fan shicheng long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environment and EnergySouth China University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China Southern Marine Science and Engineering Guangdong Laboratory Sun Yat-Sen UniversityZhuhai 519000China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Graduate Institute of Environmental Engineering Taiwan UniversityTaipei 10673China Carbon Cycle Research Center Taiwan UniversityTaipei 10672China

Quantification of the nonlinearities between ambient ozone(O3)and the emissions of nitrogen oxides(NOx)and volatile organic compound(VOC)is a prerequisite for an effective O3 control *** Enhanced polynomial functions Response Surface Model(Epf-RSM)with the capability to analyze O3-NOx-VOC sensitivities in real time was developed by integrating the hill-climbing adaptive method into the optimized Extended Response Surface Model(ERSM)*** Epf-RSM could single out the best suited polynomial function for each grid cell to quantify the responses of O3 concentrations to precursor emission *** comparisons between Epf-RSM and pf-ERSM(polynomial functions based ERSM)were performed using out-of-sample validation,together with comparisons of the spatial distribution and the Empirical Kinetic Modeling Approach *** comparison results showed that Epf-RSM effectively addressed the drawbacks of pf-ERSM with respect to overfitting in the margin areas and high biases in the transition *** O3 concentrations predicted by Epf-RSM agreed well with Community Multi-scale Air Quality simulation *** case study results in the Pearl River Delta and the north-western area of the Shandong province indicated that the O3 formations in the central areas of both the regions were more sensitive to anthropogenic VOC in January,April,and October,while more NOx-sensitive in July.

关键词： Response surface model Hill-climbing algorithm Ozone pollution Precursor emissions Control strategy

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Development and case study of a new-generation model-VAT for analyzing the boundary conditions influence on atmospheric mercury simulation

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Frontiers of Environmental Science & Engineering 2018年第1期12卷 149-158页

作者： Wenwei Yang Yun Zhu Carey Jang shicheng long Che-Jen Lin Bin Yu Zachariah Adelman Shuxiao Wang Jia Xing long Wang Jiabin Li . Guangdong Provincial Key Laboratoryof Atmospheric Environment and Pollution Control College of Environmentand Energy South China University of Technology Guangzhou HigherEducation Mega Center Guangzhou 510006 China.. State Key Joint Laboratory of EnvironmentSimulation and Pollution Control School of Environment TsinghuaUniversity Beijing 100084 China.. USEPA/Office of Air Quality Planning& Standards RTP NC 27711 USA.. Guangzhou Urban Environmental CloudInformation Technology R&D Co. Ltd Guangzhou 510006 China.. Department of Civil Engineering LamarUniversity Beaumont TX 77710-0024 USA.. Guangzhou Environmental MonitoringCenter Station Guangzhou 510030 China.. Institute for the Environment TheUniversity of North Carolina at Chapel Hill Chapel Hill NC 27517USA

Atmospheric models are essential tools to study the behavior of air pollutants. To interpret the complicated atmospheric model simulations, a new-generation Model Visualization and Analysis Tool （Model-VAT） has been developed for scientists to analyze the model data and visualize the simulation results. The Model-VAT incorporates analytic functions of conventional tools and enhanced capabilities in flexibly accessing, analyzing, and comparing simulated results from multi-scale models with diflbrent map projections and grid resolutions. The performance of the Model-VAT is demonstrated by a case study of investigating the influence of boundary conditions （BCs） on the ambient Hg formation and transport simulated by the CMAQ model over the Pearl River Delta （PRD） region. The alternative BC options are taken from （1） default time-independent profiles, （2） outputs from a CMAQ simulation of a larger nesting domain, and （3） concentration files from GEOS-Chem （re-gridded and re-projected using the Model-VAT）. The three BC inputs and simulated ambient concentrations and deposition were compared using the Model-VAT. The results show that the model simulations based on the static BCs （default profile） underestimates the Hg concentrations by --6.5%, dry depositions by -9.4%, and wet depositions by --43.2% compared to those of the model-derived （e. g. GEOS-Chem or nesting CMAQ） BCs. This study highlights the importance of model nesting approach and demonstrates that the innovative functions of Model-VAT enhances the efficiency of analyzing and comparing the model results from various atmospheric model simulations.

关键词： Model and data wsuahzatlonModel and data analysisCMAQBoundary conditionsMercury

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A case study of development and application of a streamlined control and response modeling system for PM_(2.5)attainment assessment in China

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Journal of Environmental Sciences 2016年第3期28卷 69-80页

作者： shicheng long Yun Zhu Carey Jang Che-Jen Lin Shuxiao Wang Bin Zhao Jian Gao Shuang Deng Junping Xie Xuezhen Qiu School of Environment and Energy South China University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China USEPA/Office of Air Quality Planning&Standards RTPNC 27711USA Department of Civil Engineering Lamar UniversityBeaumontTX 77710-0024USA State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Chinese Research Academy of Environmental Sciences Beijing 100012China

This article describes the development and application of a streamlined air control and response modeling system with a novel response surface modeling-linear coupled fitting method and a new module to provide streamlined model data for PM_（2.5） attainment assessment in *** method is capable of significantly reducing the dimensions required to establish a response surface model,as well as capturing more realistic response of PM_（2.5） to emission changes with a limited number of model *** newly developed module establishes a data link between the system and the Software for Model Attainment Test—Community Edition（SMAT-CE）,and has the ability to rapidly provide model responses to emission control scenarios for SMAT-CE using a simple *** performance of this streamlined system is demonstrated through a case study of the Yangtze River Delta（YRD） in *** results show that this system is capable of reproducing the Community Multi-Scale Air Quality（CMAQ） model simulation results with maximum mean normalized error 〈 3.5%.It is also demonstrated that primary emissions make a major contribution to ambient levels of PM_（2.5） in January and August（e.g.,more than50%contributed by primary emissions in Shanghai）,and Shanghai needs to have regional emission control both locally and in its neighboring provinces to meet China＇s annual PM_（2.5）National Ambient Air Quality *** streamlined system provides a real-time control/response assessment to identify the contributions of major emission sources to ambient PM_（2.5）（and potentially O_3 as well） and streamline air quality data for SMAT-CE to perform attainment assessments.

关键词： Response surface model RSM-Linear coupled fitting Air quality modeling Attainment assessment PM_(2.5)

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Development and case study of a science-based software platform to support policy making on air quality

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Journal of Environmental Sciences 2015年第1期27卷 97-107页

作者： Yun Zhu Yanwen Lao Carey Jang Chen-Jen Lin Jia Xing Shuxiao Wang Joshua S.Fu Shuang Deng Junping Xie shicheng long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environmental and Energy South China University of Technology Guangzhou Higher Education Mega Center State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University College of Environmental and Energy South China University of Technology Guangzhou Higher Education Mega Center USEPA/Office of Air Quality Planning & Standards RTPNC 27711 USA Department of Civil Engineering Lamar University Department of Civil & Environmental Engineering University of Tennessee Chinese Research Academy of Environmental Sciences

This article describes the development and implementations of a novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface. The software, RSM-VAT, uses a response surface modeling（RSM） methodology and serves as a visualization and analysis tool（VAT） for three-dimensional air quality data obtained by atmospheric models. The software features a number of powerful and intuitive data visualization functions for illustrating the complex nonlinear relationship between emission reductions and air quality benefits. The case study of contiguous *** that the enhanced RSM-VAT is capable of reproducing the air quality model results with Normalized Mean Bias 〈 2% and assisting in air quality policy making in near real time.

关键词： Air quality Policy making Response surface modeling Emission control scenarios Data visualization

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Development of an integrated policy making tool for assessing air quality and human health benefits of air pollution control

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Frontiers of Environmental Science & Engineering 2015年第6期9卷 1056-1065页

作者： Xuezhen QIU Yun ZHU Carey JANG Che-Jen LIN Shuxiao WANG Joshua FU Junping XIE Jiandong WANG Dian DING shicheng long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environment and Energy South China University of Technology Guangzhou Higher Education Mega Center Guangzhou 510006 China USEPA/Office of Air Quality Planning & Standards RTP NC 27711 USA Department of Civil Engineering Lamar University Beaumont TX 77710-0024 USA State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China Department of Civil & Environmental Engineering University of Tennessee Knoxville TN 37996-2010 USA

Efficient air quality management is critical to protect public health from the adverse impacts of air pollution. To evaluate the effectiveness of air pollution control strategies, the US Environmental Protection Agency （US EPA） has developed the Software for Model Attainment Test-Community Edition （SMAT-CE） to assess the air quality attainment of emission reductions, and the Environmental Benefits Mapping and Analysis Program- Community Edition （BenMAP-CE） to evaluate the health and economic benefits of air quality improvement respectively. Since scientific decision-making requires timely and coherent information, developing the linkage between SMAT-CE and BenMAP-CE into an integrated assessment platform is desirable. To address this need, a new module linking SMAT-CE to BenMAP-CE has been developed and tested. The new module streamlines the assessment of air quality and human health benefits for a proposed air pollution control strategy. It also implements an optimized data gridding algorithm which significantly enhances the computational efficiency without compro- mising accuracy. The performance of the integrated software package is demonstrated through a case study that evaluates the air quality and associated economic benefits of a national-level control strategy of PM2.5. The results of the case study show that the proposed emission reduction reduces the number of nonattainment sites from 379 to 25 based on the US National Ambient Air Quality Standards, leading to more than USS334billion ofeconomic benefits annually from improved public health. The integration of the science-based software tools in this study enhances the efficiency of developing effective and optimized emission control strategies for policy makers.

关键词： air quality assessment human health benefit,economic benefit air quality attainment assessment airpollution control strategy decision support system

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Design and demonstration of a next-generation air quality attainment assessment system for PM_(2.5)and O_3

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Journal of Environmental Sciences 2015年第3期27卷 178-188页

作者： Hua Wang Yun Zhu Carey Jang Che-Jen Lin Shuxiao Wang Joshua S.Fu Jian Gao Shuang Deng Junping Xie Dian Ding Xuezhen Qiu shicheng long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environmental and Energy South China University of Technology Guangzhou Higher Education Mega Center State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University USEPA/Office of Air Quality Planning & Standards Department of Civil Engineering Lamar University Department of Civil & Environmental Engineering University of Tennessee Chinese Research Academy of Environmental Sciences

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test-Community Edition （SMAT-CE） is developed for demonstrating attainment of air quality standards of O3 and PM2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards （NAAQS） shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM2.5 and 8-hour O3 for a proposed emission control policy.

关键词： Air quality standards Attainment test Air pollution GIS Emission control

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典型城市碳达峰能源政策下空气质量协同改善效益评估

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环境科学学报 2023年第1期43卷 307-317页

作者：杨庆珊朱云龙世程张冰瑶张萌萌袁颖枝华南理工大学环境与能源学院广东省大气环境与污染控制重点实验室广州510006

碳达峰能源政策可同时实现减污降碳,带来明显的空气质量改善及人群健康效益.本研究综合利用LEAP模型、WRF-CMAQ模型和BenMAP-CE模型,量化评估了惠州市能源政策和大气污染控制措施对二氧化碳和大气污染物排放、空气质量和人群健康的影响... 详细信息

碳达峰能源政策可同时实现减污降碳,带来明显的空气质量改善及人群健康效益.本研究综合利用LEAP模型、WRF-CMAQ模型和BenMAP-CE模型,量化评估了惠州市能源政策和大气污染控制措施对二氧化碳和大气污染物排放、空气质量和人群健康的影响.结果表明,不实施碳达峰的基准情景下惠州市CO_(2)排放将持续增长,而能源转型能使惠州市在2030年实现碳达峰值6906万t目标,碳减排贡献最大是电力部门;大气污染末端控制措施叠加能源政策可从源头进一步减少SO_(2)、VOCs、NO_(x)、PM_(2.5)的排放,较基准年2019分别减排4695、44142、38422、12493 t.能源转型情景下惠州市2035年PM_(2.5)年均浓度可以从基准情景的18.25μg·m^(-3)下降至14.95μg·m^(-3),小于世界卫生组织过渡期第3阶段目标(15μg·m^(-3)),O_(3)年均浓度也可大幅降低至133.68μg·m^(-3);进而得到归因于PM_(2.5)和O_(3)的可避免早逝人数分别为448例(95%CI:143~737)和36例(95%CI:11~61),相对于基准情景获得的人群健康效益为37.88亿元(95%CI:12.37~61.56).

关键词：碳达峰能源政策健康效益空气质量 LEAP模型 WRF-CMAQ模型惠州

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基于县域详查的黎平县地质灾害孕灾地质条件分析

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贵州科学 2023年第6期41卷 74-77页

作者：施后海刘港龙诗成潘礼斌西南能矿建设工程有限公司贵州贵阳550000 黎平县自然资源局贵州黔东南556002

黎平县地质灾害主要为滑坡和崩塌。以贵州省黎平县地质灾害详细调查和风险评价资料为基础,通过实地进行地质调查和室内综合分析研究,从地形地貌(坡高、坡度、坡型)、地层岩性、工程地质岩组和斜坡结构等孕灾地质条件对贵州省黎平县滑坡... 详细信息

黎平县地质灾害主要为滑坡和崩塌。以贵州省黎平县地质灾害详细调查和风险评价资料为基础,通过实地进行地质调查和室内综合分析研究,从地形地貌(坡高、坡度、坡型)、地层岩性、工程地质岩组和斜坡结构等孕灾地质条件对贵州省黎平县滑坡和崩塌数据进行分析,县内主要以青白口系浅变余砂岩、砂质板岩、板岩为主,地质灾害发育趋势以上孕灾地质条件分布总体明显,主要发育在坡高30~100 m,坡度30°~70°,直线型和凸形坡,青白口系清水江组Pt_(3)^(1d)q、平略组Pt_(3)^(1d)p浅变质软质岩中,所得结论符合客观事实,对贵州省黎平县乃至黔东南浅变质岩地区研究地质灾害孕灾地质条件、地质灾害防治、地质灾害风险管控有较好参考价值,对其他孕灾地质条件与黎平县相似的地区有一定的启示。

关键词：黎平县滑坡崩塌孕灾地质条件

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高熔体强度聚丙烯的制备及性能表征

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塑料工业 2024年第3期52卷 56-61页

作者：史为轩黎剑浩赵世成上海市多相结构材料化学工程重点实验室华东理工大学化工学院上海200237 中海油化工与新材料科学研究院北京102200

采用等规聚丙烯(iPP)为粉料、过氧化苯甲酰(BPO)为引发剂、三羟甲基丙烷三丙烯酸酯(TMPTA)为接枝单体、苯乙烯(St)为共聚单体,使用双螺杆挤出机熔融接枝制备无凝胶的高熔体强度聚丙烯(HMSPP)。傅里叶红外光谱(FTIR)和凝胶渗透色谱(GPC)... 详细信息

采用等规聚丙烯(iPP)为粉料、过氧化苯甲酰(BPO)为引发剂、三羟甲基丙烷三丙烯酸酯(TMPTA)为接枝单体、苯乙烯(St)为共聚单体,使用双螺杆挤出机熔融接枝制备无凝胶的高熔体强度聚丙烯(HMSPP)。傅里叶红外光谱(FTIR)和凝胶渗透色谱(GPC)的结果表明单体已成功接枝在聚丙烯分子链上。差示扫描量热仪(DSC)的分析结果表明HMSPP结晶温度提高了11.8℃。流变测试结果显示,HMSPP可呈现明显的剪切稀化现象,并具有更长的松弛时间和更低的损耗因子,充分证明了长支链结构的存在。与iPP相比,HMSPP的熔体强度从0.03 N提高到0.37 N,同时其冲击强度、拉伸强度和弯曲模量分别提高了89.1%、17.5%、42.6%。

关键词：聚丙烯反应挤出流变长支链熔体强度

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洞庭湖区典型稻田玉米水稻轮作下土壤—作物系统对施氮措施的响应

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中国农业科学 2024年第10期57卷 1979-1994页

作者：房康睿龙世平彭斯文陈山廖育林徐新朋赵士诚仇少君何萍周卫中国农业科学院农业资源与农业区划研究所/北方干旱半干旱耕地高效利用全国重点实验室/农业农村部植物营养与肥料重点实验室湖南省农业科学院

【目的】双季稻田水旱轮作后能够提高作物产能降低土壤有机质含量，但水旱轮作后化肥氮素配施不同有机物料对作物产量、氮素利用效率及有机质含量影响的报道较少。【方法】以玉米水稻轮作为研究对象，于2015—2021年在洞庭湖区紫潮泥和... 详细信息

【目的】双季稻田水旱轮作后能够提高作物产能降低土壤有机质含量，但水旱轮作后化肥氮素配施不同有机物料对作物产量、氮素利用效率及有机质含量影响的报道较少。【方法】以玉米水稻轮作为研究对象，于2015—2021年在洞庭湖区紫潮泥和红黄泥两种双季稻田上设置不施氮肥（CK）、单施化肥（NPK）、NPK+秸秆还田（NPKS）、NPK+有机肥（NPKM）、NPK+生物炭（NPKB）5种处理，探讨在两种土壤上不同施肥处理的作物产量、养分利用效率和土壤碳氮含量及平衡的变化。【结果】紫潮泥和红黄泥6年试验的平均玉米产量、水稻产量和年总产量分别为5.7、7.3和12.9 t·hm-2，三者在紫潮泥中的产量都略高于红黄泥，但差异都不显著。与NPK处理相比，NPKM处理使两种土壤的玉米和水稻平均产量分别显著（P<0.05）提高10.6%、4.20%。在所有处理中，NPKM处理玉米产量最高，为6.0 t·hm-2;NPKB处理水稻产量最高，为7.5 t·hm-2。NPKM和NPKB处理的6年平均年总产量分别显著（P<0.05）高于其他处理，但NPKM和NPKB处理间差异不显著。与其他处理相比，NPKM处理显著（P<0.05）提高了玉米水稻的化肥氮素回收率、农学效率和偏生产力，玉米季6年平均值分别为66.3%、39.5kg·kg-1、56.0 kg·kg-1，水稻季6年平均值分别为53.8%,21.9 kg·kg-1、68.6 kg·kg-1。NPKB处理较NPK、NPKS显著（P<0.05）提高了玉米水稻的化肥氮素农学效率和偏生产力，较NPK处理显著（P<0.05）提高了玉米化肥氮素回收率。两种土壤有机碳、全氮含量从第4年（2019年）开始显著下降。与试验开始前（2015年）相比，2021年紫潮泥和红黄泥施氮处理年平均有机碳含量分别下降了1.8、0.7 g·kg-1，全氮含量分别下降0.4、0.1 g·kg-1；两种土壤NPKM处理的土壤有机碳平均含量下降幅度最小、NPKB处理次之。NPKM处理的碳、氮投入量最高，平均土壤有机碳、全氮损失量最小，分别为0.48 t C·hm-2·a-1、94.7 kg N·hm-2·a-1。【结论】双季稻田水旱轮作后，化肥与有机肥、生物炭配施能提高作物产量和延缓土壤有机质下降，试验期间化肥配施有机肥处理玉米平均产量最高，化肥配施生物炭处理水稻平均产量最高。

关键词：玉米水稻轮作产量施肥措施土壤类型氮肥利用效率土壤碳氮

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