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Ozonation as an efficient pretreatment method to alleviate reverse osmosis membrane fouling caused by complexes of humic acid and calcium ion

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Frontiers of Environmental Science & Engineering 2019年第4期13卷 89-100页

作者： Xuehao Zhao Yinhu Wu Xue Zhang Xin Tong Tong Yu Yunhong Wang Nozomu Ikuno Kazuki Ishii Hongying Hu Environmental Simulation and Pollution Control State Key Joint Laboratory State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC)School of EnvironmentTsinghua UniversityBeijing 100084China Collaborative Innovation Center for Advanced Nuclear Energy Technology Institute of Nuclear and New Energy TechnologyTsinghua UniversityBeijing 100084China Kurita Water Industries Ltd. Nakano-kuTokyo 164-0001Japan Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen InstituteShenzhen 518055China

Humic acid has been considered as one of the most significant sources in feed water causing organic fouling of reverse osmosis (RO) membranes, but the relationship between the fouling behavior of humic acid and the change of its molecular structure has not been well developed yet. In this study, the RO membrane fouling behavior of humic acid was studied systematically with ozonation as a pretreatment method to control RO membrane fouling. Furthermore, the effect of ozone on the structure ofhumic acid was also explored to reveal the mechanisms. Humic acid alone (10-90 mg/L, in deionized water) was found not to cause obvious RO membrane fouling in 45-h operation. However, the presence of Ca^2+ aggravated significantly the RO membrane fouling caused by humic acid, with significant flux reduction and denser fouling layer on RO membrane, as it was observed by scanning electron microscope (SEM) and atomic force microscope (AFM). However, after the pretreatment by ozone, the influence of Ca^2+ was almost eliminated. Further analysis revealed that the addition of Ca^2+ increased the particle size of humic acid solution significantly, while ozonation reduced the SUVA254, particle size and molecular weight of the complexes of humic acid and Ca^2+(HA-Ca^2+ complexes). According to these results and literature, the bridge effect of Ca^2+ aggregating humic acid molecules and the cleavage effect of ozone breaking HA-Ca^2+ complexes were summarized. The change of the structure of humic acid under the effect of Ca^2+ and ozone is closely related to the change of its membrane fouling behavior.

关键词： Reverse osmosis Membrane fouling Humic acid Ca^2+ Ozone

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Observation of a Strongly Isospin-Mixed Doublet in Si26 via β-Delayed Two-Proton Decay of P26

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Physical Review Letters 2022年第24期129卷 242502-242502页

作者： J. J. Liu (刘嘉健) X. X. Xu (徐新星) L. J. Sun (孙立杰) C. X. Yuan (袁岑溪) K. Kaneko (金子和也) Y. Sun (孙扬) P. F. Liang (梁鹏飞) H. Y. Wu (吴鸿毅) G. Z. Shi (石国柱) C. J. Lin (林承键) J. Lee (李晓菁) S. M. Wang (王思敏) C. Qi (亓冲) J. G. Li (李健国) H. H. Li (李红蕙) Latsamy Xayavong Z. H. Li (李智焕) P. J. Li (李朋杰) Y. Y. Yang (杨彦云) H. Jian (简豪) Y. F. Gao (高雨枫) R. Fan (范锐) S. X. Zha (查思贤) F. C. Dai (戴凡超) H. F. Zhu (朱浩钒) J. H. Li (李金海) Z. F. Chang (常志芳) S. L. Qin (覃淑炼) Z. Z. Zhang (张朝展) B. S. Cai (蔡博帅) R. F. Chen (陈若富) J. S. Wang (王建松) D. X. Wang (王东玺) K. Wang (王康) F. F. Duan (段芳芳) Y. H. Lam (蓝乙华) P. Ma (马朋) Z. H. Gao (高志浩) Q. Hu (胡强) Z. Bai (白真) J. B. Ma (马军兵) J. G. Wang (王建国) C. G. Wu (武晨光) D. W. Luo (罗迪雯) Y. Jiang (蒋颖) Y. Liu (刘洋) D. S. Hou (侯东升) R. Li (李忍) N. R. Ma (马南茹) W. H. Ma (马维虎) G. M. Yu (余功明) D. Patel S. Y. Jin (金树亚) Y. F. Wang (王煜峰) Y. C. Yu (余悦超) L. Y. Hu (胡力元) X. Wang (王翔) H. L. Zang (臧宏亮) K. L. Wang (王凯龙) B. Ding (丁兵) Q. Q. Zhao (赵青青) L. Yang (杨磊) P. W. Wen (温培威) F. Yang (杨峰) H. M. Jia (贾会明) G. L. Zhang (张高龙) M. Pan (潘敏) X. Y. Wang (汪小雨) H. H. Sun (孙浩瀚) H. S. Xu (徐瑚珊) X. H. Zhou (周小红) Y. H. Zhang (张玉虎) Z. G. Hu (胡正国) M. Wang (王猛) M. L. Liu (柳敏良) H. J. Ong (王惠仁) W. Q. Yang (杨维青) CAS Key Laboratory of High Precision Nuclear Spectroscopy Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China Department of Physics The University of Hong Kong Hong Kong China Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing 100049 China Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516003 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China National Superconducting Cyclotron Laboratory Michigan State University East Lansing Michigan 48824 USA Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Department of Physics Kyushu Sangyo University Fukuoka 813-8503 Japan State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing 100871 China College of Physics and Technology & Guangxi Key Laboratory of Nuclear Physics and Technology Guangxi Normal University Guilin 541004 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Research Center for Theoretical Nuclear Physics NSFC and Fudan University Shanghai 200438 China KTH Royal Institute of Technology SE-100 44 Stockholm Sweden Department of Physics Faculty of Natural Sciences National University of Laos Vientiane 01080 Laos College of Science Huzhou University Huzhou 313000 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China School of Nuclear Science and Technology Lanzhou University Lanzhou 730000 China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering University Harbin 150001 China Department of Physics Sardar Vallabhbhai National Institute of Technology Surat 395007 India School of Physics and Astronomy Yunnan University Kunming 6

β decay of proton-rich nuclei plays an important role in exploring isospin mixing. The β decay of P26 at the proton drip line is studied using double-sided silicon strip detectors operating in conjunction with high-purity germanium detectors. The T=2 isobaric analog state (IAS) at 13 055 keV and two new high-lying states at 13 380 and 11 912 keV in Si26 are unambiguously identified through β-delayed two-proton emission (β2p). Angular correlations of two protons emitted from Si26 excited states populated by P26 β decay are measured, which suggests that the two protons are emitted mainly sequentially. We report the first observation of a strongly isospin-mixed doublet that deexcites mainly via two-proton decay. The isospin mixing matrix element between the Si26 IAS and the nearby 13 380-keV state is determined to be 130(21) keV, and this result represents the strongest mixing, highest excitation energy, and largest level spacing of a doublet ever observed in β-decay experiments.

关键词： Beta decay Nuclear structure & decays Proton emission 20 ≤ A ≤ 38

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Unusual Ordering Behavior of Co3al-Based Γ′ Phase with L12 Structure Predicted by the Thermodynamic Model with Support of First-Principles Calculations

SSRN

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SSRN 2022年

作者： Ali, Hamid Chen, Rong Chen, Hailian Zhao, Yan Zhao, Panhong Yang, Shuwen Wu, Bo Wen, Jiansen Zhang, Chubo Weng, Liangji Xie, Tianliang Cai, Qi Zhang, Longkun He, Zhihan Yao, Qipeng Zhang, Haifeng Sa, Baisheng Wen, Cuilian Lin, Maohua Liu, Yu Wang, Chunxu Multiscale Computational Materials Facility Key Laboratory of Eco-Materials Advanced Technology College of Materials Science and Engineering Fuzhou University Fuzhou350100 China Materials Design and Manufacture Simulation Facility School of Advance Manufacturing Fuzhou University Jinjiang 362200 China Department of Ocean and Mechanical Engineering Florida Atlantic University Florida Boca Raton33431 United States Central Iron & Steel Research Institute Group Beijing100081 China

The temperature and composition-dependent site preferences of the binary Co3Al, ternary, and quaternary Co3Al-based γ′ phase alloyed with Mi (Mi = Cr, Cu, Fe, Mn, Mo, Ni, Re, Ta, Ti, V, or W) were calculated for the first time using a two-sublattice thermodynamic model involving site occupying fractions (SOFs). The SOFs were calculated using a thermodynamic software package based on a thermodynamic database established in this work, where the temperature-dependent thermodynamic data were obtained using first-principles and phonon spectrum calculations. There is an obvious order-disorder transition for the stoichiometric and non-stoichiometric binary Co3Al as well as in ternary and quaternary Co3Al-based γ′ phase around the solvus temperature, while this character was not found in its counterpart Ni3Al-based γ′ phase. The additional alloying elements Mi modulate the order-disorder transition characteristics of Co3Al-based γ′-precipitate with different amplitudes. Based on the causal relationship of structure and mechanical properties, according to the modulating amplitude of the order-disorder transition behavior, we recommend that adding the additional alloying elements such as Cu, Mn, and Mo atoms make the mechanical properties degrade gradually, and thus the structural components avoid sudden damage, which is beneficial for the safety of the engine component at high operating temperature. © 2022, The Authors. All rights reserved.

关键词： Binary alloys

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Flexible rotor optimization design with considering the uncertainty of unbalance distribution

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International Journal for simulation and Multidisciplinary Design Optimization 2020年第1期11卷

作者： Jia, Shengxi Zheng, Longxi Mei, Qing School of Power and Energy Northwestern Polytechnical University Xi'an710072 China Collaborative Inovation Center of Advanced Aero-Engine Beijing100191 China Aviation Key Laboratory of Aeroengine Vibration Technology AVIC Aviation Powerplant Research Institute Zhuzhou412000 China

A flexible rotor optimization design considering the uncertainty of the unbalance is carried out in this paper. Assuming that the magnitude and phase of unbalance obey normal distribution and uniform distribution respectively, the uncertainty can be quantitatively described. The classical 6 Sigma method is used to perform uncertain optimization design of the rotor system considering this uncertainty. The theoretical results are verified by experiments in which 36 sets of unbalance are artificially distributed to the rotor to simulate the uncertainty. In experiment, the amplitude response of the two disks and the acceleration response of the two bearings are decreased by 14%, 21.5%, 37.2% and 46% respectively in terms of standard deviation. It can be concluded that the optimization design considering the uncertainty can reduce the fluctuation of the response and improving the robustness of the results. © S. Jia et al., published by EDP Sciences, 2020.

关键词： Normal distribution

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Monitoring of sugarcane crop based on time series of sentinel-1 data

Monitoring of sugarcane crop based on time series of sentine...

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2019 SAR in Big Data Era, BIGSARDATA 2019

作者： Li, HongZhong Yuan, Xing Han, Yu Chen, JinSong Chen, XiaoNing Shenzhen Institutes of Advanced Technology CAS Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Land and Resources Shenzhen China CAS Shenzhen Institutes of Advanced Technology Shenzhen China College of Geomatics Xian University of Science and Technology Xi'an China

ISBN: (纸本)9781728126531

Monitoring the spatial pattern and growth of sugarcane timely and accurately is of great importance at regional and global scales. In this paper, the focus was on sugarcane identification in Southern China with FuSui country as the study area. Classification was based on sentinel-1 different polarizations and sugarcane phenology. In order to explore the optimum periods and polar metric characters, time series of C-band dual polarization sentinel-1 data in 2017 totally 130 images were collected over the whole sugarcane growth season. Then the growth curve was built based on the former exploration. After that, there was a following analysis by combining growth curve and polarimetric characters of sugarcane, which contributes to setting attribute to identity. At last, the advanced rules were built to identify sugarcane according to growth curve above and subordinating degree function. Sugarcane extraction accuracy was verified by numerous ground data. The conclusions are as follows: (1)The results of this study show the importance of using C-band muti-temporal dual polarization data on crop identification especially for sugarcane comparing with traditional optical data. In other words, it's crucial for crop identification to extract the backscattering coefficient. When combining with a part of samples, the curve of crop growth used for classification can be portrayed. To deepen the difference between sugarcane and other typical features, additional three kinds of reference object like eucalyptus, water and buildings, all of which distributes in the experimental area, with an extensive representation. (2)The analysis of polarimetric characters has shown that the inherent SAR backscatter feature VH is superior in classification accuracy to the VV, which achieved an accuracy of 88.07%. During the stage of seedling and tillering, the amplitude from sugarcane is higher than that in other objects, proving the advantage of VV in sugarcane identification. On the contrary, the

关键词： Time series

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Correction: a novel non-vacuum packaged triaxial accelerometer with differential dual-axis resonantors and torsional elements

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Microsystem Technologies 2023年第1期30卷 45-45页

作者： Li, Jinhui Xia, Dunzhu Wang, Songli Yang, Xiuhua Zhang, Bing Key Laboratory of Micro-lnertial Instruments and Advanced Navigation Technology Ministry of Education Nanjing China School of Instrument Science and Engineering Southeast University Nanjing China Xi’an Flight Automatic Control Research Institute of Aviation Industry Xi’an China

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A mechanical metamaterial with programmable arbitrary quasi-zero-stiffness regions

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Composites Part A: Applied Science and Manufacturing 2025年

作者： Xin Liu Shuai Chen Xiaojun Tan Shuai Li Bing Wang National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin 150080 PR China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou 450046 PR China School of Civil Aviation Northwestern Polytechnical University Xi’an 710072 PR China Department of Engineering Mechanics Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming 650500 PR China

Quasi-zero-stiffness (QZS) structures have high potential in low-frequency vibration isolation. But current parallel-connected positive- and negative-stiffness-based methods have issues like loose structure, low reliability, and single QZS region. To address this problem, a metamaterial with arbitrarily programmable QZS regions (load or width) is presented in this paper, realizling strong programmability. Its base structures, from straight-beam negative-stiffness structure rotation, ensure better stability and prevent out-of-plane buckling. Rational assembly enables programmable design for various loads and QZS region widths. A stepping strategy overcomes the single-working-position problem of traditional QZS structures. The results show that it has multiple working load platforms and excellent low-frequency isolation. The QZS mechanism is entirely derived from the geometry of the structure, which is independent of the material. It could offer a promising reference for researchers in related fields and supply a brand new solution for compact multi-load QZS isolators.

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Mapping the Distribution of Exotic Mangrove Species in Shenzhen Bay Using Worldview-2 Imagery 1

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6th International Conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018

作者： Li, Hongzhong Han, Yu Chen, Jinsong Guo, Shanxin Shenzhen Institute of Advanced Technology CAS Xueyuan Avenue 1068 Shenzhen China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Land and Resources Shenzhen China

ISBN: (数字)9789811370250

ISBN: (纸本)9789811370243

Shenzhen Bay is an important distribution area of mangrove, with Futian Reserve and Mai Po Reserve. Sonneratia (including Sonneratia caseolaris and Sonneratia apetala) are exotic mangrove species in Shenzhen Bay. Study on the Sonneratia potential impact on native mangrove species requires accurate and repeatable mapping of Sonneratia distribution. Several previous studies have mapped mangrove extent and species, but Sonneratia have been largely ignored. In this study, high resolution Worldview-2 (WV2) imagery was used in Shenzhen Bay Sonneratia mapping. Separability analyses with spectral and textural features were conducted based on Jeffries-Matusita (JM) distance. Results showed that Sonneratia caseolaris and Sonneratia apetala were inseparable in WV2 imagery, and therefore the two species were merged into a single species in the study. Maximum likelihood (ML) classifier, neural net (NN) classifier and support vector machine (SVM) classifier were applied to spectral and textural features, and six mangrove species classification results were obtained. Considering the six classification results together, the distribution of Sonneratia was mapped based on the criteria that, for each polygon, it was categorized as Sonneratia if and only if it was classified as Sonneratia in at least four classification results. The distribution results of Sonneratia showed an agreement with distribution characteristic based on field survey and past literatures. The producer’s accuracy was 79.24% and the user’s accuracy was 92.14%, which indicated great potential of using high-resolution multi-spectral data for distinguishing and mapping Sonneratia. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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DPA-2: a large atomic model as a multi-task learner

arXiv

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arXiv 2023年

作者： Zhang, Duo Liu, Xinzijian Zhang, Xiangyu Zhang, Chengqian Cai, Chun Bi, Hangrui Du, Yiming Qin, Xuejian Peng, Anyang Huang, Jiameng Li, Bowen Shan, Yifan Zeng, Jinzhe Zhang, Yuzhi Liu, Siyuan Li, Yifan Chang, Junhan Wang, Xinyan Zhou, Shuo Liu, Jianchuan Luo, Xiaoshan Wang, Zhenyu Jiang, Wanrun Wu, Jing Yang, Yudi Yang, Jiyuan Yang, Manyi Gong, Fu-Qiang Zhang, Linshuang Shi, Mengchao Dai, Fu-Zhi York, Darrin M. Liu, Shi Zhu, Tong Zhong, Zhicheng Lv, Jian Cheng, Jun Jia, Weile Chen, Mohan Ke, Guolin Weinan, E. Zhang, Linfeng Wang, Han AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of Sciences Ningbo315201 China School of Electronics Engineering and Computer Science Peking University Beijing100871 China Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development School of Chemistry and Molecular Engineering East China Normal University Shanghai200062 China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States Department of Chemistry Princeton University PrincetonNJ08540 United States College of Chemistry and Molecular Engineering Peking University Beijing100871 China Yuanpei College Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun130012 China Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics Jilin University Changchun130012 China International Center of Future Science Jilin University Changchun130012 China Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Zhejiang Hangzhou310030 China Atomistic Simulations Italia

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of ab initio electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications. We propose a shift towards a model-centric ecosystem, wherein a large atomic model (LAM), pre-trained across multiple disciplines, can be efficiently fine-tuned and distilled for various downstream tasks, thereby establishing a new framework for molecular modeling. In this study, we introduce the DPA-2 architecture as a prototype for LAMs. Pre-trained on a diverse array of chemical and materials systems using a multi-task approach, DPA-2 demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning methodologies. Our approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research. Copyright © 2023, The Authors. All rights reserved.

关键词： Multi-task learning

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Model-Predictive Optimization for Lane Keeping Assistance System with Exponential Decay Smoothing

Model-Predictive Optimization for Lane Keeping Assistance Sy...

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IEEE International Conference on Robotics and Biomimetics

作者： Sheng Zhang Xiangtao Zhuan Yating Fang Jun Cheng School of Electrical and Automation Wuhan University Wuhan China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology CAS China School of Transportation Science and Engineering Civil Aviation University of China Tianjin China The Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)9781665405362

Lane keeping assistance system is a widely used driving assistance system. When the vehicle enters and exits a curve, the responses related to lateral stability will show significant fluctuations. Smooth lane keeping is the cornerstone of the user’s trust towards the lane keeping assistance, and it is important to smooth the responses related to lateral stability. Therefore, in this paper, a lane keeping control strategy that can achieve smooth steering operation is proposed. First of all, the lateral dynamics model that can be used for lane keeping control conveniently is established. In addition, with the model predictive control (MPC), the control strategy for lane keeping is designed. The main control objective is lateral stability, and performance variables are used to measure the performance during lane keeping process. What’s more, the contribution of this paper is that a reference trajectory in the form of an exponential decay function is set for the performance variables, so that the performance variables approach the optimal value in a smooth manner. Finally, two simulation scenarios for lane keeping are set up, and the control strategy in this paper is verified by simulation experiments.

关键词： Analytical models Fluctuations Smoothing methods Lane departure warning systems Stability analysis Trajectory Vehicle dynamics

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