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Continuous and comprehensive atmospheric observations in beijing:a station to understand the complex urban atmospheric environment

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Big Earth Data 2020年第3期4卷 295-321页

作者： Yongchun Liu Chao Yan Zemin Feng Feixue Zheng Xiaolong Fan Yusheng Zhang Chang Li Ying Zhou Zhuohui Lin Yishou Guo Ying Zhang Li Ma Wenshuo Zhou Zhikun Liu Lubna Dada Kaspar Dallenbach Jenni Kontkanen Runlong Cai Tommy Chan Biwu Chu Wei Du Lei Yao Yonghong Wang Jing Cai Juha Kangasluoma Tom Kokkonen Joni Kujansuu Anton Rusanen Chenjuan Deng Yueyun Fu Rujing Yin Xiaoxiao Li Yiqun Lu Yiliang Liu Chaofan Lian Dongsen Yang Weigang Wang Maofa Ge Yuesi Wang Douglas R.Worsnop Heikki Junninen Hong He Veli-Matti Kerminen Jun Zheng Lin Wang Jingkun Jiang Tuukka Petaja Federico Bianchi Markku Kulmala Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiHelsinkiFinland State Key Joint Laboratory of Environment Simulation and Pollution Control State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijingChina State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina Department of Environmental Science&Engineering Fudan UniversityShanghaiChina State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijingChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science&TechnologyNanjingChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Aerodyne Research Inc. BillericaMassachusettsUSA Institute of Physics University of TartuTartuEstonia Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingChina

Due to profound impact on climate and human health,air quality has attracted attention from all levels of the civil *** key step in the provision of required tools for the society to tackle the complex air quality problem is to characterize it in a comprehensive manner with a long-term ***,we describe a continuous and comprehensive observation station and its accompanying state-ofthe-art instrumentation that was established to investigate the complex urban atmospheric environment in a rapidly developing Chinese *** station,located in downtown beijing,aims to study air quality by identifying the major atmospheric pollutants and key processes determining their formation and loss mechanisms.A few hundreds of parameters are continuously measured with the state-of-the-art instruments,including trace gas concentrations,aerosol particle size distributions,and mass concentrations,covering aerosol particle chemical composition from molecules to micrometer-sized aerosol *** produced long-term,comprehensive big data with around 1�10^(11)bytes per *** this paper,we provide an overview on the facilities of the station,the instrumentation used,the workflow of continuous observations and examples of results from 2018 to 2019 and a basis for establishing a modern long-term,comprehensive atmospheric urban observation station in other megacities.

关键词： Continuous and comprehensive atmospheric observation air pollution complex photochemical smog haze new particle formation

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Revealing the Memory Effects of Climatic Factors on Global Vegetation Dynamics Using Explainable Ai

SSRN

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SSRN 2023年

作者： Hu, Zhen Zhou, Wenyu Liang, Xun Guan, Qingfeng Wen, Youyue Liao, Weilin Yan, Yuchao Han, Cuiyan School of Geography and Information Engineering China University of Geosciences Hubei Wuhan430078 China National Engineering Research Center of GIS China University of Geosciences Hubei province Wuhan430078 China South China Institute of Environmental Science Ministry of Ecology and Environment Guangzhou510535 China National Key Laboratory of Urban Ecological Environment Simulation and Protection Guangzhou510535 China Guangdong Key Laboratory for Urbanization and Geo-simulation School of Geography and Planning Sun Yat-sen University Guangzhou510275 China Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing100871 China Wuhan HopeTop Technology Co. Ltd. Wuhan430223 China

Discovering how vegetation responds to climatic factors is critical for understanding terrestrial ecosystem dynamics and predicting future vegetation states. In this study, we employ Explainable Artificial Intelligence (XAI) to unravel the spatiotemporal patterns of vegetation across a global scale over 12 months. Our approach utilizes the Long Short-Term Memory (LSTM) model to capture pixel-level vegetation dynamics driven by climatic factors. By leveraging the Permutation Feature Importance (PFI) method, we unveil the spatial distribution and temporal variability of each climate factor's contribution as learned by LSTM. Our results demonstrate that considering the long-term memory effect significantly enhances the explanatory power of climate factors for vegetation ecosystems in high latitudes of the Northern Hemisphere (R2>0.8). Notably, solar radiation emerges as the dominant factor worldwide, governing vegetation growth in 71.78% of the research regions, followed by precipitation (16.56%) and temperature (11.66%) variations. Furthermore, we uncover that vegetation in terrestrial ecosystems exhibits heightened sensitivity to historical temperature from 9 to 12 months ago, historical precipitation in the last three months, and historical solar radiation from 6 to 8 months ago throughout the 12-month historical time series. These findings highlight the significant lag effect of climatic factors on vegetation greenness changes and contribute to a better understanding of the impact of global climate change on terrestrial ecosystems, facilitating the development of more effective response strategies. © 2023, The Authors. All rights reserved.

关键词： Vegetation

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A Model Based Heterogeneous Data Collaboration Method

A Model Based Heterogeneous Data Collaboration Method

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IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Yanhong Jiang Bowen Wei Hongyan Quan Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Simulation Center Science and Technology on Space System Simulation Laboratory Beijing China School of Software Engineering East China Normal University Shanghai China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (数字)9781728192581

ISBN: (纸本)9781728192598

Model based heterogeneous data collaboration is important in the integrated design and manufacturing technology. In this work, we propose a systematic method of collaborative design method for heterogeneous data sources. In our method, we use the Open Model Based Engineering Environment (OpenMBEE) to study. In our work, we setup environment and construct the integrated multi-tools achieving consistency design, and then we successfully design and implement a reasonable scheme to parameterize the model in requirement analysis and store the extracted parameters in Model Management system (MMS) for transporting to the visualization tool for further simulation. We integrate the mathematical analysis tools of MATLAB, and successfully design the interface in the tool integration, and realize the model consistency in the problem of integrating multiple tools in the design based on model center. The effectiveness of the proposed integration strategies is verified by some practical instances. That is verified that our provided study can an effective design idea for complex production.

关键词： Analytical models Collaboration Production Tools Data models Mathematical model Matlab

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Annual variations of black carbon over the Yangtze River Delta from 2015 to 2018

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Journal of Environmental sciences 2020年第10期32卷 72-84页

作者： Yue Tan Honglei Wang Shuangshuang Shi Lijuan Shen Chen Zhang Bin Zhu Song Guo zhijun Wu Ziyi Song Yan Yin Ankang Liu Collaborative Innouation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdmiristrationNanjing Uniuersity of information Science & TechnologyNanjing 210044China State Key Joint Laboratory of Enuironment Simulation and Pollution Control(Peking University)College of Enuironmental Sciences and Engineering Peking UniuersityBeijing 100871China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100o29China

In this study,the black carbon (BC) measurements in the atmosphere of Nanjing,China were continuously conducted from 2015 to 2018 using a Model AE-33 *** combining dataset of PM_(2.5),PM_(10),CO,NO_2,SO_2,O_3 and meteorological parameters,the temporal variations and the source apportionment of BC were given in this *** results showed that the PM_(2.5) mass concentrations decreased in Nanjing,with an average annual rate of variation of 6.50μg/(m^3·year).Differently,the annual average concentrations of BC increased with an average annual variation rate of 214.71 ng/(m^3·year).The seasonal variations showed the pattern of BC mass concentrations in winter>autumn>spring>*** diurnal variations of BC mass concentrations showed a double-peak in all four *** first peak occurred at approximately 7:00 in spring,summer and autumn and around 8:00 in *** second peak took place after 18:*** average AAE (absorption ?ngstr?m exponent) was 1.26 with a maximum of 1.35 during wintertime and the lowest(1.12) during *** addition,the AAE was smaller in the daytime than that at night,with a minimum occurring between 13:00 and 14:*** and visibility show a good power-function relationship at different humidity *** average values of the visibility thresholds of the BC mass concentrations in spring,summer,autumn and winter were 1.326,5.522,1.340 and 0.708μg/m^3,*** greater the relative humidity,the smaller the visibility threshold for the BC mass concentrations was.

关键词： Black carbon(BC) Absorptionngstrm exponent(AAE) Meteorological elements Temporal characteristics

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Cotransport of Microplastics (Mps) and Sulfanilamide Antibiotics (Sas) in Groundwater: The Impact of Mp/Sa Ratio and Aquifer Media

SSRN

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SSRN 2022年

作者： Li, Shuo Yang, Mingxiang Wang, Hao Jiang, Yunzhong State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin Beijing100038 China China Institute of Water Resources and Hydropower Research Beijing100038 China College of Environmental Science and Engineering Qingdao University Qingdao China Carbon Neutrality and Eco-Environmental Technology Innovation Center of Qingdao Qingdao266071 China

The aim of this study was to investigate the effects of the aquifer media, structure type, and initial concentration ratio of contaminants on the cotransport behavior of microplastics (MPs) and sulfanilamide antibiotics (SAs) in groundwater. In single-suspensions with only MPs, the order of the adsorption of MPs (1 μm) on the three media was fine sand>medium sand>coarse sand. The breakthrough curve of MPs showed a weak and slow upward trend, indicating that the migration of MPs in aqueous media is mainly blocked by the surface. The relative mass recovery rates of fine sand, medium sand, and coarse sand were 25.65%, 37.50%, and 57.91%, respectively. This is because there is a large repulsive energy barrier between MPs (3080 to 3370 kBT). The migration results of different SAs (ST, SM, SM2, SMX) in a single suspension system indicated that the deposition rate coefficients (kc) of the four SAs were 1.23×10-1, 9.09×10-2, 1.11×10-1, and 8.87×10-2. Under a binary suspension system (MPs:ST=1:1), the maximum effluent concentration (MEC) of MPs in fine sand, medium sand, and coarse sand increased to 0.52, 0.64, and 0.88, respectively, and the relative mass recovery rates of ST were 22.79%, 23.59%, 20.25%. This indicates that the coexistence of MPs and ST significantly promotes the migration of MPs and inhibits that of ST. When using different initial concentrations of MPs under binary suspension system conditions, MPs were subject to surface blocking and ripening. The MEC of MPs decreased from 0.88 to 0.76–0.83, and that of SAs increased from 0.23 to 0.24–0.26. When the initial concentration ratio was 2:1, the particles had the highest Zeta potential (-48.3 mV) and the highest potential barrier (3200 kBT), leading to the formation of complex aggregates (MPs-SAs-MPs) owing to the aggregation of colloidal MPs. © 2022, The Authors. All rights reserved.

关键词： Aquifers

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Large-Scale Single Tree Information Extraction of Oil Palm in Malaysia Based on Sub-Meter Visible Light Satellite Images

SSRN

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SSRN 2024年

作者： Zhang, Sen Li, Nan Cui, Yaoping Dong, Jinwei Yu, Le Ran, Lishan Chen, Ziyue Niu, Jiqiang Yan, Wei Kanniah, Kasturi Devi Xiao, Xiangming Zhang, Yongguang Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions Henan University Ministry of Education Kaifeng475004 China College of Geography and Environmental Science Henan University Kaifeng475004 China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application International Institute for Earth System Sciences Nanjing University Nanjing210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China Department of Geography The University of Hong Kong Pokfulam999077 Hong Kong State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System Science Beijing Normal University Beijing100875 China College of Geographic Sciences Xinyang Normal University Xinyang464000 China Department of Geoinformation Faculty of Built Environment & Surveying Universiti Teknologi Malaysia Johor Bahru81310 Malaysia Department of Microbiology and Plant Biology Center for Spatial Analysis University of Oklahoma NormanOK73019 United States College of Environment and Planning Faculty of Geoinformation and Real Estate

The distribution of specific tree species and single tree information can shift down the research scale of geography and ecology, bridging research from regional to local scales. However, efficiently and finely extracting the spatial distribution and single tree information for a tree species regionally has always been a challenge due to the constraints of data and algorithms. With sub-meter visible light satellite images (RGB bands) in 2021 to 2022, we constructed a novel method for extracting the spatial distribution and single tree information of oil palm across Malaysia, namely the Single Tree Extraction Method - Oil Palm (STEM-OP). We developed a graphic morphological algorithm based on gradient difference window detection to extract the spatial distribution of oil palms. Then, we proposed an algorithm of double ring sliding detection algorithm to identify the canopy texture features of single oil palm. Finally, an adaptive iterative erosion algorithm was employed to separate overlapping and adjacent canopies into single trees. The overall accuracy of both the spatial distribution and number of single oil palm extracted by STEM-OP exceeded 90%. Our study revealed that the total area of oil palm in Malaysia was 5.25 million hectares, with a total of 572.6 million trees and an average planting density of 109 palms per hectare. The STEM-OP addresses the computational inefficiencies of methods with training samples and limitations of satellite image bands. For the first time, our study extracts the refined spatial distribution of oil palm and obtains the planting density and single tree position on a national scale. All of these are of great value to the formulation of oil palm development policies and ecological protection measures. © 2024, The Authors. All rights reserved.

关键词： Morphology

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Key Technique of Constructing Collaborating Environment Based on OPENMBEE

Key Technique of Constructing Collaborating Environment Base...

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International Conference on Computer and Communications (ICCC)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Yanhong Jiang Shuying Xu Hongyan Quan State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China School of Software Engineering East China Normal University Shanghai China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

With the development of integrated design and manufacturing technology, it is necessary to consider how to integrate a variety of modeling tools in the procedure of complex product design driven by the model-centric conception. In this work, we explored the development technology of multi-tool integration based on the Open Model Based Engineering Environment (OpenMBEE). We provide a multi-tool integration system solution, in which the integration schemes under different environments of LAN and virtual machine are designed, and the system scheme of multi-tool integration is also studied. From the idea of model design conception, we integrate the requirement analysis tools Cameo. On the basis, Model Management system (MMS) and View Editor(VE), as well as the specific model analysis tool MATLAB and 3D visual simulation tool Creo are also integrated seamlessly. The effectiveness of the proposed integration strategies is verified by some practical instances. That is verified that our study can provide an effective design idea for complex production.

关键词： Analytical models Solid modeling Computational modeling Tools Product design Mathematical model Matlab

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Design of Reusable Effectiveness Evaluation Model Framework

Design of Reusable Effectiveness Evaluation Model Framework

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Chinese Control and Decision Conference, CCDC

作者： Shuang Zhang Wei Li Shenglin Lin Ming Yang Jiahui Tong Control and Simulation Center Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In order to make the effectiveness evaluation models of the weapon equipment system universal and flexible, and adapt to different evaluation objects, a framework of effectiveness evaluation model is designed. Next a series of modular and reusable effectiveness evaluation models are proposed under the framework. Each type of evaluation model is built based on IDEF0, and the corresponding input and output of each model are designed. To further improve reusability, several models are mathematically described and model interface is designed based on XML.

关键词： Indexes Data models Data mining Analytical models Mathematical model Optimization Adaptation models

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可持续发展情景下丝绸之路沿线国家土地利用及其对陆地碳库影响

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science Bulletin 2023年第7期68卷 740-749页

作者：曹敏田雅吴凯陈旻陈玉胡雪孙中昶左丽君林键骆磊朱瑞许振赐 Temenoujka Bandrova Milan Konecny 袁文平郭华东林珲闾国年 Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210023China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China School of Geography and Environment Jiangxi Normal UniversityNanchang 330022China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China The Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034China Sierra Nevada Research Institute University of CaliforniaMerced CA 95348USA Institute of High Performance Computing Agency for ScienceTechnology and ResearchSingapore 138632Singapore Department of Geography the University of Hong KongHong Kong 999077China Laboratory on Cartography University of ArchitectureCivil Engineering and GeodesySofia 1164Bulgaria Laboratory on Geoinformatics and Cartography Institute of GeographyMasaryk UniversityBrno 60177Czech Republic School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Sun Yat-sen UniversityZhuhai 519082China Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of EducationJiangxi Normal UniversityNanchang 330022China

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其... 详细信息

可持续发展目标(SDGs)呼吁全世界共同采取行动,促进繁荣并保护地球.本研究面向SDGs构建了环境、粮食和经济等可持续发展情景,预测2020~2030年丝绸之路沿线国家的土地利用变化,并分析其对陆地碳库的影响。研究表明:未来土地利用变化及其对陆地碳库的影响在不同情景下存在显著差异。在可持续环境情景下,林地得到了有效保护,相较于2020年中国林地碳储量增加了约0.60%;在可持续粮食情景下,耕地流失得到了缓解,尤其在南亚及东南亚地区的耕地面积呈现上升趋势:在可持续经济情景下,城市扩张速度加快,引起的碳损失量最多这项研究有助于推进丝绸之路沿线甚至全球可持续发展进程,为探寻可持续发展路径提供了科学依据。

关键词： Sustainable development goals(SDGs) Land-use projection Carbon pool Scenarios system dynamics model Cellular automata

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The Main Progress of Perovskite Solar Cells in 2020-2021

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Nano-Micro Letters 2021年第10期13卷 113-130页

作者： Tianhao Wu Zhenzhen Qin Yanbo Wang Yongzhen Wu Wei Chen Shufang Zhang Molang Cai Songyuan Dai Jing Zhang Jian Liu Zhongmin Zhou Xiao Liu Hiroshi Segawa Hairen Tan Qunwei Tang Junfeng Fang Yaowen Li Liming Ding Zhijun Ning Yabing Qi Yiqiang Zhang Liyuan Han State Key Laboratory of Metal Matrix Composites School of Material Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Centre Shanghai Key Laboratory of Functional Materials ChemistryJoint International Research Laboratory of Precision Chemistry and Molecular EngineeringSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyMeilong Road 130Shanghai 200237People’s Republic of China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyLuoyu Road 1037Wuhan 430074People’s Republic of China College of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094People’s Republic of China Beijing Key Laboratory of Novel Thin-Film Solar Cells and State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power UniversityBeijing 102206People’s Republic of China Department of Microelectronic Science and Engineering Ningbo UniversityZhejiang 315211People’s Republic of China College of Chemical Engineering Jiangsu Key Lab of Biomass-Based Green Fuels and ChemicalsNanjing Forestry UniversityNanjing 210037People’s Republic of China College of Chemistry and Molecular Engineering Qingdao University of Science and TechnologyQingdao 266042People’s Republic of China Special Division of Environmental and Energy Science Komaba Organization for Educational Excellence(KOMEX)College of Arts and SciencesUniversity of TokyoTokyo 153-8902Japan National Laboratory of Solid State Microstructures Jiangsu Key Laboratory of Artificial Functional MaterialsCollege of Engineering and Applied SciencesNanjing UniversityNanjing 210093People’s Republic of China College of Information Science and Technology Jinan UniversityGuangzhou 510632People’s Republic of China School of Physics and Electronic Science Engineering Research Center of Nan

Perovskite solar cells(PSCs)emerging as a promising photovoltaic technology with high efficiency and low manufacturing cost have attracted the attention from all over the *** the efficiency and stability of PSCs have increased steadily in recent years,and the research on reducing lead leakage and developing eco-friendly lead-free perovskites pushes forward the commercialization of PSCs step by *** review summarizes the main progress of PSCs in 2020 and 2021 from the aspects of efficiency,stability,perovskite-based tandem devices,and lead-free ***,a brief discussion on the development of PSC modules and its challenges toward practical application is provided.

关键词： Perovskite solar cells Stability Solar module Perovskite-based tandem devices Lead-free perovskite

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