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Frontiers of Agricultural Science and Engineering 2024年第1期11卷 69-82页

作者： Jianjie ZHANG Xiangwen FAN Ling LIU Lin MA Zhaohai BAI Wenqi MA College of resources and environmental Sciences Hebei Agricultural UniversityBaoding 071001China College of resources and Environment Shanxi Agricultural UniversityTaiyuan 030031China Center for Agricultural resources Research Institute of Genetics and Development BiologyChinese Academy of SciencesShijiazhuang 050022China

While agricultural green development(AGD)is highly recognized and has become a national strategy in China,it is imperative to bridge the knowledge gaps between AGD and the UN Sustainable Development Goals(SDGs),and to evaluate the contribution of AGD to meeting the *** first aim of this study was to compare the AGD goals and indicators with those of the SDGs so as to identify their *** next aim was to examine the historical evolution of AGD indicators and analyze the gaps between the current status of various indicators and their *** factors were identified in China's transition toward *** findings reveal that the indicators of AGD align with those of the SDGs,but have greater specificity to the context in China and are more *** has been a significant increase per capita calorie and protein intakes in China,as well as a notable rise in agricultural output per unit of arable land and rural incomes from 1980 to the ***,these achievements have been accompanied by a high resource use and environmental pollution,highlighting the need for a more sustainable,environmentally responsible agriculture in China.

关键词： Agricultural green development sustainable development goals environmental sustainability indicator system optimization pathway

Two birds with one stone:Functionalized wood composites for efficient photocatalytic hydrogen production and solar water evaporation

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Chinese Chemical Letters 2024年第9期35卷 392-397页

作者： Deqi Fan Yicheng Tang Yemei Liao Yan Mi Yi Lu Xiaofei Yang College of Chemical Engineering Nanjing Forestry UniversityNanjing 210037China Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest resources International Innovation Center for Forest Chemicals and MaterialsCollege of ScienceNanjing Forestry UniversityNanjing 210037China key laboratory of Chemistry and Engineering of Forest Products State Ethnic Affairs CommissionGuangxi Key Laboratory of Chemistry and Engineering of Forest ProductsGuangxi Minzu UniversityNanning 530006China

Maximizing solar energy utilization is a persistent challenge in photo catalysis,which determines sustainable solar-driven photocatalytic *** thermal-coupled photo catalysis is considered as a promising solution to tackle the issues of sustainable energy scarcity and environmental pollution by harvesting the full-spectrum solar ***,a highly efficient photo thermal-accelerated photo catalysis system is elaborately established,in which the assembled carbonized stick/Nb_(2)C MXene evaporator can heat water into vapor and the integrated g-C_(3)N_(4)photocatalyst further enables high-efficiency photocatalytic hydrogen *** designed hyperboloid wood-based architecture possesses a multiphase interface of water steam/catalyst/hydrogen to reduce the transport resistance of hydrogen gas in liquid and ultimately maximize the output of hydrogen ***,this coupled photothermal-photocatalytic system achieves a stable solar evaporation rate of 2.16 kg m^(-1)h^(-1)under one sun irradiation and highly efficient hydrogen-evolving rate of 3096μmol g^(-1)h^(-1).This work paves a way to explore the improvement of photocatalytic hydrogen production by synergic photothermal effect for potential applications in renewable solar energy utilization and hydrogen production.

关键词： Photocatalysis Photothermal Nb_(2)C MXene g-C_(3)N_(4) Wood

Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State key laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China key laboratory of Virtual Geographic Environment(ministry of education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National key laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State key laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information system School of Earth and Space SciencesPeking UniversityBeijing 100871China key laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu key laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

约4900年前东亚和东南亚枢纽地区狩猎采集向农业的转变（英文）

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Science Bulletin 2024年第1期 103-113页

作者：马敏敏卢敏霞孙瑞朱忠华 Dorian Q. Fuller 郭健新何光林杨晓敏谭玲玲芦永秀董佳佳刘睿良杨继帅李波郭天南李小瑞赵东月张颖王传超董广辉 key laboratory of Western China’s environmental systems (ministry of education) College of Earth and Environmental Sciences Lanzhou University Zhaotong University Westlake laboratory of Life Sciences and Biomedicine Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Institute of Basic Medical Sciences Westlake Institute for Advanced Study Yunnan Provincial Institute of Cultural Relics and Archaeology Institute of Archaeology University College London School of Cultural Heritage Northwest University State key laboratory of Cellular Stress Biology School of Life Sciences Xiamen University Department of Anthropology and Ethnology Institute of Anthropology School of Sociology and Anthropology Xiamen University State key laboratory of Marine environmental Science Xiamen University Westlake Omics (Hangzhou) Biotechnology Co. Ltd. The Department of Asia British Museum Tonghai Cultural Relics Management Group of Alpine Paleoecology and Human Adaptation Institute of Tibetan Plateau Research Chinese Academy of Sciences State key laboratory of Tibetan Plateau Earth system Resources and Environment ministry of education key laboratory of Contemporary Anthropology Department of Anthropology and Human Genetics School of Life Sciences Fudan University

The southward expansion of East Asian farmers profoundly influenced the social evolution of Southeast Asia by introducing cereal agriculture. However, the timing and routes of cereal expansion in key regions are unclear due to limited empirical evidence. Here we report macrofossil, microfossil, multiple isotopic(C/N/Sr/O) and paleoproteomic data directly from radiocarbon-dated human samples, which were unearthed from a site in Xingyi in central Yunnan and which date between 7000 and 3300 a *** isotopes reveal the earliest arrival of millet ca. 4900 a BP, and greater reliance on plant and animal agriculture was indicated between 3800 and 3300 a BP. The dietary differences between hunter-gatherer and agricultural groups are also evident in the metabolic and immune system proteins analysed from their skeletal remains. The results of paleoproteomic analysis indicate that humans had divergent biological adaptations, with and without farming. The combined application of isotopes, archaeobotanical data and proteomics provides a new approach to documenting dietary and health changes across major subsistence transitions.

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Insights from the Second Tibetan Plateau Scientific Expedition: Unveiling the westerly–monsoon synergy and hydroclimate changes

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Atmospheric and Oceanic Science Letters 2024年第5期17卷 1-2页

作者： Chaofan Li Yaoming Ma Tianjun Zhou Riyu Lu Center for Monsoon system Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Land-Atmosphere Interaction and Its Climatic Effects Group State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijingChina State key laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina College of Hydraulic&environmental Engineering China Three Gorges UniversityYichangChina College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijingChina College of Atmospheric Sciences Lanzhou UniversityLanzhouChina Qomolangma Atmospheric and environmental Observation and Research Station TingriChina Kathmandu Center for Research and education Chinese Academy of Sciences-Tribhuvan UniversityBeijingChina China-Pakistan Joint Research Center on Earth Sciences IslamabadPakistan

The Tibetan Plateau(TP),often referred to as the“Asian Water Tower”,holds vast reserves of glaciers,snow,and permafrost,serving as the crucial source for major rivers that support billions of people across *** TP’s unique geographical positioning fosters significant interplay between the westerly and monsoon systems,the hydroclimate changes on the TP and its interactions with these two major atmospheric circulation systems through both the thermodynamic and dynamic processes,as well as the atmospheric water cycle of the *** interactions have far-reaching impacts on the weather and climate of China,Asia,and even the global atmospheric circulation.

关键词： Tibetan Plateau holds

An Interpretable Light Attention-Convolution-Gate Recurrent Unit Architecture for the Highly Accurate Modeling of Actual Chemical Dynamic Processes

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Engineering 2024年第8期39卷 104-116页

作者： Yue Li Ning Li Jingzheng Ren Weifeng Shen School of Chemistry and Chemical Engineering Chongqing UniversityChongqing 400044China Chongqing key laboratory of Catalysis and New environmental Materials School of Environment and ResourcesChongqing Technology and Business UniversityChongqing 400067China Department of Industrial and systems Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

To equip data-driven dynamic chemical process models with strong interpretability,we develop a light attention–convolution–gate recurrent unit(LACG)architecture with three sub-modules—a basic module,a brand-new light attention module,and a residue module—that are specially designed to learn the general dynamic behavior,transient disturbances,and other input factors of chemical processes,*** with a hyperparameter optimization framework,Optuna,the effectiveness of the proposed LACG is tested by distributed control system data-driven modeling experiments on the discharge flowrate of an actual deethanization *** LACG model provides significant advantages in prediction accuracy and model generalization compared with other models,including the feedforward neural network,convolution neural network,long short-term memory(LSTM),and ***,compared with the simulation results of a deethanization model built using Aspen Plus Dynamics V12.1,the LACG parameters are demonstrated to be interpretable,and more details on the variable interactions can be observed from the model parameters in comparison with the traditional interpretable model *** contribution enriches interpretable machine learning knowledge and provides a reliable method with high accuracy for actual chemical process modeling,paving a route to intelligent manufacturing.

关键词： Interpretable machine learning Light attention-convolution-gate recurrent unit architecture Process knowledge discovery Data-driven process model Intelligent manufacturing

Equipment selection knowledge base system for industrial styrene process

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Chinese Journal of Chemical Engineering 2018年第8期26卷 1707-1712页

作者： Weimin Zhong Shuming Liu Feng Wan Zhi Li key laboratory of Advanced Control and optimization for Chemical Processed of ministry of education East China University of Science and Technology

Equipment selection for industrial process usually requires the extensive participation of industrial experts and technologists, which causes a serious waste of resources. This work presents an equipment selection knowledge base system for industrial styrene process(S-ESKBS) based on the ontology technology. This structure includes a low-level knowledge base and a top-level interactive application. As the core part of the S-ESKBS, the low-level knowledge base consists of the equipment selection ontology library, equipment selection rule set and Pellet inference engine. The top-level interactive application is implemented using S-ESKBS, including the parsing storage layer, inference query layer and client application layer. Case studies for the industrial styrene process equipment selection of an analytical column and an alkylation reactor are demonstrated to show the characteristics and implementability of the S-ESKBS.

关键词： Equipment selection Ontology technology Knowledge base system Styrene process

Toward sustainable food systems: global initiatives and innovations

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Frontiers of Agricultural Science and Engineering 2024年第1期11卷 197-209页

作者： Xiangwen FAN Xiaomeng ZHANG Xiaofei WU Wenqi MA Zhaohai BAI Lin MA State key Lab Pollution Control&Resource Reuse School of EnvironmentNanjing UniversityNanjing 210023China College of resources and environmental Sciences Hebei Agricultural UniversityBaoding 071000China College of Food Science and Biology Hebei University of Science and TechnologyShijiazhuang 050018China

A recent UN Sustainable Development Goals(SDGs) analysis indicated a significant regression in the global SDG goal scores, particularly in SDG 2—Zero Hunger. The emissions of environmental pollution caused by meeting food demands have prompted some countries to intensify their climate change mitigation efforts. These circumstances have introduced significant uncertainty to the future global sustainable food development. Additionally, a notable global challenge is the persistence of hidden hunger, primarily characterized by the insufficient consumption of high-quality animal protein. Addressing this issue would necessitate increased environmental costs to attain high-quality food security. The future food system presents a significant challenge in coordinating food security, food quality and environmental quality. This article presents a comprehensive review and proposes a three-step strategy for future agricultural development based on food security, quality, and environmental aspects. This is a novel food system transfer strategy, as it concurrently addresses both global food security and environmental thresholds. It involves the construction of an efficient food system that operates within the constraints of environmental limits. The objective is to align with global SDG indicators and to maintain natural resource consumption and pollutant emissions within planetary boundaries.

关键词： Agricultural green development food system food production optimization transform pathways

Active ammonia-oxidizing bacteria and archaea in wastewater treatment systems

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Journal of environmental Sciences 2021年第4期33卷 273-282页

作者： Maosheng Zheng Shishi He Yueqi Feng Mingyuan Wang Yong-Xin Liu Chenyuan Dang Jiawen Wang The key laboratory of resources and environmental systems optimization Ministry of EducationCollege of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China CAS Center for Excellence in Biotic Interactions University of Chinese Academy of SciencesBeijing 100049China The key laboratory of Water and Sediment Sciences Ministry of EducationCollege of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China

Ammonia-oxidizing bacteria(AOB)and archaea(AOA)are two microbial groups mediating nitrification,yet little is presently known about their abundances and community structures at the transcriptional level in wastewater treatment systems(WWTSs).This is a significant issue,as the numerical abundance of AOA or AOB at the gene level may not necessarily represent their functional role in ammonia *** amo A genes as molecular markers,this study investigated the transcriptional abundance and community structure of active AOA and AOB in 14 *** PCR results indicated that the transcriptional abundances of AOB amo A(averaged:1.6×10^(8)copies g^(-1)dry sludge)were higher than those of AOA(averaged:3.4×10^(7)copies g^(-1)dry sludge)in all WWTSs despite several higher abundances of AOA amo A at the gene ***,phylogenetic analysis demonstrated that Nitrosomonas europaea and unknown clusters accounted for 37.66%and 49.96%of the total AOB amo A transcripts,respectively,suggesting their dominant role in driving ammonia ***,AOA amo A transcripts were only successfully retrieved from 3 samples,and the Nitrosospaera sister cluster dominated,accounting for 83.46%.Finally,the substrate utilization kinetics of different AOA and AOB species might play a fundamental role in shaping their niche differentiation,community composition,and functional *** study provides a basis for evaluating the relative contributions of ammonia-oxidizing microorganisms(AOMs)to nitrogen conversions in WWTSs.

关键词： Ammonia-oxidizing bacteria Ammonia-oxidizing archaea Transcriptional activity Community structure Wastewater treatment system

Solvent Effect on Characteristic Vibration of IR Spectrum of 4,4＇-Dibromodiphenyl Ether

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Chemical Research in Chinese Universities 2014年第6期30卷 997-1004页

作者： LI Yu resources and environmental Research Academy key laboratory of Regional Energy systems optimization Ministry of Education North China Electric Power University Beijing 102206 P. R. China

The optimal geometry, IR spectrum and vibration assignment of 4,4＇-dibromodiphenyl ether（BDE-15） in gas phase were calculated via the density functional theory（DFT） at the level of B3LYP/6-3 l＋G（d）. Based on the vi- bration assignment, the calculation of vibration frequencies and intensities of 5 main vibration types of BDE-15 in 25 kinds of solvents was carried out by means of a self-consistent reaction field（SCRF） theoretical model at the level of B3LYP/6-31＋G（d） to analyze the solvent effect on the vibration of IR spectrum of BDE-15. To study the solvent ef- fect further, C--O asymmetric stretching vibration fluctuating, which is relatively acute in both vibration frequency and intensity, was selected as the characteristic vibration to establish different linear solvation energy relation（LSER） models for solvent categoring. Solvent parameters（a, /3, ~r＊）, acceptable number（AN） and quantitative structure- activity relationship（QSAR） models were established via chemical quantum parameters of solvent moleculer, which were first been introduced to investigate different solvent-solute interaction mechanisms in alcoholic and non-alcoholic solvents on molecular level. At last, a single solvent molecule was embedded in the framework of po- larizable continuum model（PCM） to validate the effect of hydrogen bonding on solvent-solute interaction in alcohol solvents. The obtained results show that 5 main vibration types of BDE-15 in different solvents have small variation range in frequency and intensity and all the vibration frequencies in solvents are lower than those in gas phase, de- creasing along with the increasing of the dielectric Constant（e） of solvents exponentially. In contrast, all the vibration intensities in solvents are greater than those in gas phase and present positive exponential trend. Twenty-five solvents were divided into two categories（non-alcoholic solvents and alcoholic solvents） by LSER. The CmO asymmetric stretching vibration was mainly regulated b

关键词： Solvent effect IR spectrum Vibration assignment Quantitative structure-activity relationship Hydrogenbonding