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Distribution of Na+and Mechanical Properties of Hardened Body of Alkali-activated Cementitious Materials

Journal of Wuhan University of Technology(Materials Science) 2023年第4期38卷 849-856页

作者：卞立波 TAO Zhi 王秀芳 WANG Shaohui YE Kangjun HU Xingbo School of Civil and Traffic Engineering Beijing University of Civil Engineering and ArchitectureBeijing102616China Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation School of ScienceBeijing University of Civil Engineering and ArchitectureBeijing102616China Beijing Shoufa Tianren Ecological Landscape Co. LtdBeijing102699China

To explore the distribution of and the mechanical properties(compressive strength)of the hardened body of alkali slag-fly ash cementitious materials,this study was conducted by using the XRD,FTIR,SEM/EDS,and other test methods in three conditions:airtight drying(AD),airtight immersion(AI),and airtight soaking(AS).The 1D distribution law of free of hardened body under standard curing conditions was *** experimental results show that under standard curing conditions,the 1D distribution of within 0d-3 d shows a∨-shaped distribution,within 3-7 d show a∧-shaped distribution,and within 7-28 d tends to be *** test results of leaching rate show that the free was the most stable under AD conditions and the hardened body bound the most by XRD,FTIR and SEM/*** the compressive strength of the hardened body was the *** compressive strength of 28th reached 95.9 *** definite distribution of provides an important reference for the strength development and durability evaluation of the hardened body of alkaliexcited cementitious materials.

关键词： alkali-activated cementitious materials ion migration leaching rate curing condition compressive strength

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How Human Activities Affect Groundwater Storage

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Research 2025年第1期2024卷 308-319页

作者： Ying Zhao Meiling Zhang Zhuqing Liu Jiabin Ma Fan Yang Huaming Guo Qiang Fu School of Water Conservancy & Civil Engineering Northeast Agricultural UniversityHarbin 150030China International Cooperation Joint Laboratory of Health in Cold Region Black Soil Habitat of the Ministry of Education Harbin 150030China Ministry of Education Key Laboratory of Groundwater Circulation and Environmental Evolution & School of Water Resources and Environment China University of Geosciences (Beijing)Beijing 100083China

Despite the recognized influence of natural factors on groundwater,the impact of human activities remains less explored because of the challenges in measuring such *** address this gap,our study proposes an approach that considers carbon emissions as an indicator of human activity intensity and quantifies their impact on groundwater *** combination of carbon emission data and groundwater storage data for 17,152 grid cells over 16 years in 4 typical basins shows that they were generally negatively correlated,whereas both agriculture and aviation had positive impacts on groundwater *** longest impact from aviation and agriculture can even persist for 7 ***,an increase of 1 Yg CO^(2)/km^(2) per second in emissions from petroleum processing demonstrates the most pronounced loss of groundwater storage in the Yangtze River Basin(approximately 4.1 mm).Moreover,regions characterized by high-quality economic development tend to have favorable conditions for groundwater ***,our findings revealed the substantial role of human activities in influencing groundwater dynamics from both temporal and spatial *** study fills a crucial gap by exploring the relationship between human activities and groundwater storage through the introduction of a quantitative modeling framework based on carbon *** also provides insights for facilitating empirical groundwater management planning and achieving optimal emission reduction levels.

关键词： groundwater dynamics groundwater storage human activity carbon emission data economic development carbon emissions

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FAST NON-CONVEX SPARSE REGULARIZATION FOR IMPACT FORCE IDENTIFICATION 29

FAST NON-CONVEX SPARSE REGULARIZATION FOR IMPACT FORCE IDENT...

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29th International Congress on Sound and Vibration, ICSV 2023

作者： Chen, Lin Wang, Yannan Qiao, Baijie Liu, Junjiang Cheng, Hao Chen, Xuefeng The State Key Laboratory for Manufacturing Systems Engineering Xi'an710061 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Science and Technology on Reliability and Environment Engineering Laboratory Beijing Institute of Structure and Environment Engineering Beijing100076 China

ISBN: (纸本)9788011034238

Impact force identification as a typical inverse problem is definitely a challenging task to simultaneously reconstruct and localize impact forces. While sparse solutions can be induced, the standard 1 sparse regularization tends to underestimate the amplitude of impact forces, thus it may interfere with the subsequent damage assessment of mechanical structures. With regards to this, we propose a fast non-convex(FNC) sparse regularization method that incorporates a non-convex generalized minimax-concave penalty as a regularizer and introduces an acceleration strategy to rapidly achieve the global optimum. This non-convex penalty can not only promote sparsity of the estimation, but also preserve the convexity of the cost function, so that it avoids the case of convergence to a locally optimal solution. This method is applied to solve the impact force identification problem in the underdetermined case to simultaneously reconstruct and localize impact forces. Experiments are performed on a composite fan blade to validate the FNC method in its computational efficiency and identification accuracy in terms of impact force reconstruction and localization. Results indicate that proposed FNC method converges faster and it simultaneously reconstructs and localizes impact forces with higher accuracy than the classic 1 sparse regularization method. © 2023 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Inverse problems

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Spatiotemporal characteristics and driven forces of nitrogen flow of dairy farms in China: Based on a comprehensive model combined with production practices and embedding localized parameters

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Science of the Total environment 2024年 957卷 177464页

作者： Yang, Xiao Zhang, Lijie Wang, Chaoyuan Si, Buchun Jiang, Weizhong Liang, Chao Shi, Zhengxiang College of Water Resources and Civil Engineering China Agricultural University Beijing100083 China Key Laboratory of Agricultural Engineering in Structure and Environment Ministry of Agriculture and Rural Affairs Beijing100083 China

This study developed a comprehensive nitrogen (N) flow model utilizing localized data in 2000–2019. Enhancements were conducted upon previous models: (1) variations in feed N intake of cows across different production phases was considered;(2) N emission in the Intergovernmental Panel on Climate Change (IPCC) and the European Monitoring and Evaluation Program and the European environment Agency (EMEP/EEA) was incorporated;(3) emission factor (EF) of NH3 was corrected based on local climate;and (4) field application of manure was excluded from the system boundary to accommodate China's production status. The effects of farm scale (LF, ≥100 heads;SF, 56 %). Sensitivity analysis indicated that NUE was mostly influenced by LF milk protein content, followed by milk production, body weight of dairy cow, and herd structure. Different forms of N emission were substantially decided by manure EFs and indoor excretion ratio. The scenario simulation suggested that the use of productive breed, low-protein feed, and N abatement procedures could enhance NUE by >30 % and reduce annual emission of NH3 and N2O to 38 % and 13 % of BAU. The study may provide valuable insights into the policy development of dairy industry in China, aiming at boosting productivity improvement and minimizing N loss. © 2024 Elsevier B.V.

关键词： Dry cleaning

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Hybrid deep neural network based prediction method for unsteady flows with moving boundary

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Acta Mechanica Sinica 2021年第10期37卷 1557-1566,I0003页

作者： Ren-Kun Han Zhong Zhang Yi-Xing Wang Zi-Yang Liu Yang Zhang Gang Chen State Key Laboratory for Strength and Vibration of Mechanical Structures Shannxi Key Laboratory for Environment and Control of Flight VehicleSchool of Aerospace EngineeringXi’an Jiaotong UniversityXi’an710049China Science and Technology on Reliability and Environment Engineering Laboratory Beijing Institute of Structure and Environment EngineeringBeijing100076China

Any motion, forced or free, of boundary affects the flow field around this boundary. A new kind of reduced order model (ROM) based on hybrid deep neural network is proposed to model flow field evolution process of unsteady flow around moving boundary. This hybrid deep neural network can map the relationship between the flow field at the next time step and the flow field and boundary positions at the previous time steps. Based on the learned information, the hybrid deep neural network can quickly and accurately predict the flow field. Unsteady flows around forced oscillation cylinder with various amplitudes, frequencies, and Reynolds numbers are simulated to establish the training and testing datasets. The prediction results of the hybrid deep neural network and the computational fluid dynamics (CFD) simulation results are consistent with high accuracy. The forces on the moving boundary can be integrated through the predicted flow field data. Good performance makes this new ROM method can be used in many fluid dynamics research fields, which needs fast and accurate simulation.

关键词： Deep neural network Flow fields prediction Moving boundary

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Assessing the eco-efficiency of milk production systems using water-energy-labor-food nexus

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Science of the Total environment 2024年 955卷 176812页

作者： Du, Xinyi Yang, Hao Gui, Jinming Wang, Qi Liu, Yunying Li, Hao Wang, Chaoyuan Shi, Zhengxiang College of Water Resources and Civil Engineering China Agricultural University Beijing100083 China Key Laboratory of Agricultural Engineering in Structure and Environment Ministry of Agriculture and Rural Affairs Beijing100083 China

Globally, massive resource inputs and undesired outputs hindered the further development of the dairy industry. This study proposed a method applying data envelopment analysis to the water-energy-labor-food nexus to assess the eco-efficiency of the milk production system (MEE) from a systemic perspective. Using national statistics on scale farms for the period 2014–2021, we illustrated the effects of scale and intensification on MEE in China. In the study period, the production cost increased by 23 % and milk production rose by 30 % at the same time. Despite the increases in both water and energy inputs, the rise in milk production weakened the resource burdens and thus lifted MEE by 24 %. The resource investment pattern shifted from water- and labor-oriented to energy-oriented. Under current conditions, production technology and system management were at higher superiority to advance than farm scale, while mechanization and on-farm clean energy production are the keys to further lifting MEE. © 2024 Elsevier B.V.

关键词： Production efficiency

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Fine mapping of Pm71,a novel powdery mildew resistance gene from emmer wheat

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The Crop Journal 2025年第1期13卷 62-68页

作者： Jiadong Zhang Hong Yang Guohao Han Hongxing Xu Ruishan Liu Ningning Yu Ran Han Yaoxue Li Jiatong Li Yintao Dai Cheng Liu Yuli Jin Pengtao Ma Yantai Key Laboratory of Characteristic Agricultural Biological Resources Conservation and Germplasm Innovative Utilization College of Life SciencesYantai UniversityYantai 264005ShandongChina Guangxi Key Laboratory of Agro-Environment and Agro-Products Safety Key Laboratory of Crop Cultivation and PhysiologyCollege of AgricultureGuangxi UniversityNanning 530004GuangxiChina Center for Agricultural Resources Research Institute of Genetics and Developmental BiologyChinese Academy of SciencesShijiazhuang 050021HebeiChina School of Life Sciences Henan UniversityKaifeng 475004HenanChina Crop Research Institute Shandong Academy of Agricultural Sciences/National Engineering Research Center for Wheat and Maize/National Key Laboratory of Wheat Breeding/Key Laboratory of Wheat Biology and Genetic Improvement in the North Huang-Huai River Valley/Shandong Wheat Technology Innovation CenterJinan 250100ShandongChina

Powdery mildew negatively impacts wheat yield and *** wheat(Triticum dicoccum),an ancestral species of common wheat,is a gene donor for wheat *** emmer accession H1-707 exhibited all-stage resistance to powdery mildew over consecutive *** analysis of H1-707 at the seedling stage revealed a dominant monogenic inheritance pattern,and the underlying gene was designated *** employing bulked segregant exome sequencing(BSE-Seq)and using 2000 F2:3 families,Pm71 was fine mapped to a 336-kb interval on chromosome arm 6AS by referencing to the durum *** RefSeq *** analysis revealed high homology in the candidate interval between Svevo and six Triticum *** six high-confidence genes annotated within this interval,TRITD6Av1G005050 encoding a GDSL esterase/lipase was identified as a key candidate for Pm71.

关键词： Blumeria graminis BSE-Seq Disease resistance Fine mapping Triticum dicoccum

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Striking a growth–defense balance:Stress regulators that function in maize development

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Journal of Integrative Plant Biology 2024年第3期66卷 424-442页

作者： Shiyi Xie Hongbing Luo Wei Huang Weiwei Jin Zhaobin Dong Maize Engineering and Technology Research Center of Hunan Province College of AgronomyHunan Agricultural UniversityChangsha 410128China State Key Laboratory of Maize Bio-breeding National Maize Improvement CenterFrontiers Science Center for Molecular Design BreedingChina Agricultural UniversityBeijing 100193China Tianjin Key Laboratory of Intelligent Breeding of Major Crops Fresh Corn Research Center of BTHCollege of Agronomy&Resources and EnvironmentTianjin Agricultural UniversityTianjin 300384China

Maize(Zea mays)cultivation is strongly affected by both abiotic and biotic stress,leading to reduced growth and *** has recently become clear that regulators of plant stress responses,including the phytohormones abscisic acid(ABA),ethylene(ET),and jasmonic acid(JA),together with reactive oxygen species(ROS),shape plant growth and *** their well established functions in stress responses,these molecules play crucial roles in balancing growth and defense,which must be finely tuned to achieve high yields in crops while maintaining some level of *** this review,we provide an in-depth analysis of recent research on the developmental functions of stress regulators,focusing specifically on *** unraveling the contributions of these regulators to maize development,we present new avenues for enhancing maize cultivation and growth while highlighting the potential risks associated with manipulating stress regulators to enhance grain yields in the face of environmental challenges.

关键词： stress regulators maize development ABA ET JA ROS

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Soil fauna accelerated litter C and N release by improving litter quality across an elevational gradient

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Ecological Processes 2023年第1期12卷 632-644页

作者： Li Zhang Jingru Liu Rui Yin Zhenfeng Xu Chengming You Han Li Lixia Wang Sining Liu Hongwei Xu Lin Xu Yang Liu Yong Wang Bo Tan Forestry Ecological Engineering in Upper Reaches of Yangtze River Key Laboratory of Sichuan Province College of ForestrySichuan Agricultural UniversityChengdu 611130China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100ShaanxiChina

Background Soil fauna is an important driver of carbon(C)and nitrogen(N)release from decomposing litter in forest ***,its role in C and N cycling concerning climate and litter traits remains less *** a 4-year field experiment,we evaluated the effects of soil fauna on litter C and N release across an elevation gradient(453,945,3023,and 3582 m)and litter traits(coniferous ***)in southwestern *** Our results showed that N was retained by–0.4%to 31.5%,but C was immediately released during the early stage(156–516 days)of decomposition for most litter *** fauna significantly increased the peak N content and N retention across litter species,but reduced the C/N ratio for certain species(i.e.,Juniperus saltuaria,Betula albosinensis,Quercus acutissima,and Pinus massoniana litter),leading to more C and N being released from decomposing litter across the elevation *** of soil fauna to C and N release were 3.87–9.90%and 1.10–8.71%,respectively,across litter species after 4 years of *** environment and initial litter quality factors caused by elevation directly affected litter C and N *** in soil fauna resulting from elevation and fauna exclusion factors had a direct or indirect impact on C and N release during litter *** Our findings suggest that soil fauna promote C and N release from decomposing litter in different magnitudes,mainly controlled by environmental conditions(i.e.,temperature and moisture),litter quality(i.e.,lignin and cellulose content,and lignin/cellulose),and its diversity across the elevation gradient.

关键词： Carbon remaining Nitrogen remaining Nitrogen retention Soil fauna Elevational gradient

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Variation characteristics of acid rain in Zhuzhou,Central China over the period 2011-2020

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Journal of environmental Sciences 2024年第4期138卷 496-505页

作者： Jiahao Ren Liquan Zhu Xi Zhang Yuqian Luo Xuecai Zhong Bowen Li Yuwen Wang Kai Zhang State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Zhuzhou Environment Monitoring Center Zhuzhou 412000China Faculty of Environmental Engineering The University of Kitakyushu1–1 HibikinoWakamatsuKitakyushuFukuoka 808-0135Japan College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642China

Zhuzhou was one of the most polluted cities in China with the serious acid *** to the implementation of air pollution control measures from 2016 to 2018,the acid rain pollution in this city has *** order to understand the recent situation,a comprehensive study on the acid rain was carried out from January 2011 to December *** pH values during the study period varied from 3.3 to 7.5,with a volume-weighted mean value of *** predominant acidic components of the precipitation were SO_(4)^(2-)and NO_(3)^(-),accounting for 89.3% of the total *** ratio of non-sea-salt SO_(4)^(2-)to NO_(3)^(-)showed a decreasing trend,revealing that the pollution type of acid rain changed from sulfuric acid type to sulfuric acid and nitric acid compound *** correlation analysis(p<0.05)showed that SO_(4)^(2-)was positively correlated with NH_(4)^(+),Ca^(2+),and Mg^(2+);hence,it predominated in precipitation as(NH_(4))_(2)SO_(4),NH_(4)HSO_(4),CaSO_(4),and MgSO_(4).Significant positive correlation of Ca^(2+)with Mg^(2+)shows that they may originated mainly from *** positive correlation between SO_(4)^(2-)and F^(-)and Cl^(-)indicate that their source may be related to the non-ferrous metal smelting industry in *** correlation analysis shows that emissions from the non-ferrous metal smelting industry in the area have a large significant on SO_(4)^(2-)and F^(-)in precipitation,while Cl^(-)may still be emitted from other anthropogenic sources.

关键词： Acid rain pH Chemical composition Neutralization factor Correlation analysis

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