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Region-gridding recycling of bulk organic waste: Emerging views based on coordinated urban and rural development

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Frontiers of Environmental Science & Engineering 2020年第6期14卷 1-3页

作者： Wenbing Tan dongyu cui Xiaohui Zhang Beidou Xi State Key Laboratory of Environmental Criteria and Risk Assessment and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater PollutionChinese Research Academy of Environmental SciencesBeijing 100012China School of Environment Tsinghua UniversityBeijing 100084China CSD IDEA(Beijing)Environmental Test&Analysis Co. Ltd.Beijing 100192China

Bulk organic waste(BOW)has a large outputin *** improper disposal of BOW will not onlybring serious environmental pollution,but also cause wasteof biomass *** viewpoint proposes a region-gridding recycling management system of BOW thathighlights the coordinated development of environmental,agricultural and energy elements in urban and rural *** viewpoint aims to drive the upstream and downstreamindustrial chains of BOW treatments,avoid the repeatedconstruction of resource facilities,guide the upgrading ofresource-based technologies,promote the professionaliza-tion of farmers,and thus built the high-quality modernagricultural recycling industrial park based on systemmanagement.

关键词： Bulk organic waste Recycling Urban-ruralcoordination Management system

In situ identification of environmental microorganisms with Raman spectroscopy

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Environmental Science and Ecotechnology 2022年第3期11卷 102-113页

作者： dongyu cui Lingchao Kong Yi Wang Yuanqing Zhu Chuanlun Zhang Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China Department of Ocean Science and Engineering Southern University of Science and TechnologyShenzhen518055China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science&EngineeringSouthern University of Science and TechnologyShenzhen518055China Shenzhen Key Laboratory of Marine Archaea Geo-Omics University of Southern University of Science and TechnologyShenzhen518055China Shanghai Sheshan National Geophysical Observatory Shanghai Earthquake AgencyShanghai200062China

Microorganisms in natural environments are crucial in maintaining the material and energy cycle and the ecological balance of the ***,it is challenging to delineate environmental microbes'actual metabolic pathways and intraspecific heterogeneity because most microorganisms cannot be *** spectroscopy is a culture-independent technique that can collect molecular vibration profiles from *** can reveal the physiological and biochemical information at the single-cell level rapidly and non-destructively in *** first part of this review introduces the principles,advantages,progress,and analytical methods of Raman spectroscopy applied in environmental *** second part summarizes the applications of Raman spectroscopy combined with stable isotope probing(SIP),fluorescence in situ hybridization(FISH),Raman-activated cell sorting and genomic sequencing,and machine learning in microbiological ***,this review discusses expectations of Raman spectroscopy and future advances to be made in identifying microorganisms,especially for uncultured microorganisms.

关键词： Raman spectroscopy Environmental microorganisms Single cells Metabolic activities

RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization

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Light(Science & Applications) 2024年第2期13卷 366-386页

作者： Jiaqi Hu Gina Jinna Chen Chenlong Xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye dongyu cui De Zhang Xiaojun yu Hong Dang Wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum State Key Laboratory of Optical Fiber and Cable Manufacture Technology Guangdong Key Laboratory of Integrated Optoelectronics IntellisenseDepartment of EEESouthern University of Science and TechnologyShenzhen 518055China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Nasopharyngeal Carcinoma Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou 510060China Department of Ocean Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Nephrology Chaozhou People’s HospitalChaozhou 521011China Clinical Research Design Division Sun Yatsen Memorial HospitalGuangzhouGuangdong 510120China School of Automation Northwestern Polytechnical UniversityXi’anShaanxi 710072China Department of Biomedical Engineering The Chinese University of Hong KongHong KongChina Guangdong Provincial Key Laboratory of Nanophotonic Manipulation Institute of NanophotonicsJinan UniversityGuangzhou 511443China

Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and *** is also an emerging omics technique for metabolic profiling to shape precision ***,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is *** Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information ***,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral *** can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human *** experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm(L__(∞))compared to established *** this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint *** precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse *** scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications.

关键词： spectral scheme resolution

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海南省热带农产品低碳配送模式研究

物流技术 2015年第17期34卷 10-12页

作者：崔冬玉金志扬海南大学应用科技学院海南儋州571737 江苏大学汽车与交通工程学院江苏镇江212013

从海南省热带农产品的发展现状和现有配送模式出发,针对海南省低碳岛屿、绿色岛屿的建设,从低碳角度提出海南省热带农产品低碳配送模式的概念,在此基础上,根据海南省自身经济发展的区域优势、特点,探讨了三种海南省热带农产品的低碳配... 详细信息

从海南省热带农产品的发展现状和现有配送模式出发,针对海南省低碳岛屿、绿色岛屿的建设,从低碳角度提出海南省热带农产品低碳配送模式的概念,在此基础上,根据海南省自身经济发展的区域优势、特点,探讨了三种海南省热带农产品的低碳配送模式。

关键词：低碳经济海南省热带农产品配送模式

温室番茄东西向栽培条件下矮化密植对其生长和产量的影响

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园艺学报 2022年第4期49卷 875-884页

作者：崔东禹李长青孙焱鑫王激清邹国元杨俊刚北京市农林科学院植物营养与资源环境研究所北京100097 河北北方学院河北张家口075000 河北省三河市第一中学河北三河065200

采用田间试验研究不同密度下东西向栽培对温室番茄生长、产量、品质的影响,以期为设施蔬菜轻简、优质、高效生产提供技术支持。试验采用适合温室机械化作业的东西向起垄种植番茄,设密度和不同位置2个因素,主因素为普通稀植(3.3万株·hm^... 详细信息

采用田间试验研究不同密度下东西向栽培对温室番茄生长、产量、品质的影响,以期为设施蔬菜轻简、优质、高效生产提供技术支持。试验采用适合温室机械化作业的东西向起垄种植番茄,设密度和不同位置2个因素,主因素为普通稀植(3.3万株·hm^(-2),留4穗果)和矮化密植(6.6万株·hm^(-2),留3穗果),副因素为4个不同位置的种植畦处理。结果表明,温室内环境条件在不同位置上存在明显差异,北畦土壤温度较南畦高0.3~1.3℃,但光照强度较南畦降低39.7%~49.0%;不同位置土壤水分和EC值的变幅较小。矮化密植处理南畦幼苗茎粗较北畦显著增加。番茄产量南畦高于北畦,增产12.8%~30.1%,密植处理显著高于稀植处理,增产27.7%。与稀植相比,密植没有降低果实品质。在时间上,密植处理早期(6月9—20日)番茄产量比稀植处理增产37%,早期产量增产贡献率达到73%,显著提高了番茄生产的经济效益。综上,温室番茄东西向栽培条件下,采用密植有利于合理利用环境条件,提高早期产量实现增产增收。

关键词：番茄设施栽培东西向栽培矮化密植产量

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溴代阻燃剂在土壤中的迁移转化研究进展

环境科学研究 2021年第2期34卷 479-490页

作者：高玉娟谢承劼余红张颖吕宁磬檀文炳贾建丽崔东宇中国矿业大学(北京)化学与环境工程学院北京100083 福建农林大学资源与环境学院福建福州350000 中国环境科学研究院国家环境保护地下水污染模拟与控制重点实验室北京100012 清华大学环境学院北京100084

BFRs(溴代阻燃剂)是一种重要的持久性有机污染物,各种传统和新型的BFRs(PBDEs、TBBPA、DBDPE、BTBPE等)在全球环境中被广泛检出,其持久性、生物蓄积性以及对环境和人类健康的潜在毒性引起了人们的极大关注.在归纳和总结国内外关于BFRs... 详细信息

BFRs(溴代阻燃剂)是一种重要的持久性有机污染物,各种传统和新型的BFRs(PBDEs、TBBPA、DBDPE、BTBPE等)在全球环境中被广泛检出,其持久性、生物蓄积性以及对环境和人类健康的潜在毒性引起了人们的极大关注.在归纳和总结国内外关于BFRs在土壤中的迁移转化行为规律研究动态的基础上,重点讨论了吸附解吸、光降解的机理和影响因素以及厌氧、好氧微生物降解和植物代谢的特点和降解途径.结果表明:吸附/解吸是BFRs在土壤中迁移转化的关键过程,土壤有机质含量和pH是影响其在土壤中迁移的主要影响因素.光解、微生物降解是BFRs在土壤中的主要转化途径,光解是表层土壤中BFRs的主要转化过程,逐步脱溴产生低溴化产物,溴化程度、土壤有机质和矿物质会直接影响其光解速率;厌氧脱溴和好氧微生物降解是BFRs在深层土壤中的主要降解过程,溴化程度与微生物降解密切相关.土壤中BFRs被植物吸收的过程中可能被代谢为低溴化产物,在食物链中积累,危害人体健康.尽管多年来在BFRs方面的研究取得了进展,但对这类污染物的环境行为和归趋的全面了解仍然很难,随着越来越多的新型BFRs被作为传统BFRs的替代品推向市场,建议对这些新兴替代化学品在土壤介质中的迁移转化过程,特别是生物降解进行更多的调查.

关键词：溴代阻燃剂土壤迁移转化

Reinforcement Learning-Based Joint Task Offloading and Migration Schemes Optimization in Mobility-Aware MEC Network

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China Communications 2020年第8期17卷 31-44页

作者： dongyu Wang Xinqiao Tian Haoran cui Zhaolin Liu Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China

Intelligent edge computing carries out edge devices of the Internet of things(Io T) for data collection, calculation and intelligent analysis, so as to proceed data analysis nearby and make feedback timely. Because of the mobility of mobile equipments(MEs), if MEs move among the reach of the small cell networks(SCNs), the offloaded tasks cannot be returned to MEs successfully. As a result, migration incurs additional costs. In this paper, joint task offloading and migration schemes in mobility-aware Mobile Edge Computing(MEC) network based on Reinforcement Learning(RL) are proposed to obtain the maximum system revenue. Firstly, the joint optimization problems of maximizing the total revenue of MEs are put forward, in view of the mobility-aware MEs. Secondly, considering time-varying computation tasks and resource conditions, the mixed integer non-linear programming(MINLP) problem is described as a Markov Decision Process(MDP). Then we propose a novel reinforcement learning-based optimization framework to work out the problem, instead traditional methods. Finally, it is shown that the proposed schemes can obviously raise the total revenue of MEs by giving simulation results.

关键词： MEC computation offloading mobility-aware migration scheme Markov decision process reinforcement learning

Uncovering the dominant contribution of intermediate volatility compounds in secondary organic aerosol formation from biomass-burning emissions

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National Science Review 2024年第3期11卷 150-158页

作者： Kun Li Jun Zhang David M.Bell Tiantian Wang Houssni Lamkaddam Tianqu cui Lu Qi Mihnea Surdu dongyu Wang Lin Du Imad El Haddad Jay G.Slowik Andre S.H.Prevot Environment Research Institute Shandong University Laboratory of Atmospheric Chemistry Paul Scherrer Institute

Organic vapors from biomass burning are a major source of secondary organic aerosols(SOAs). Previous smog chamber studies found that the SOA contributors in biomass-burning emissions are mainly volatile organic compounds(VOCs). While intermediate volatility organic compounds(IVOCs) are efficient SOA precursors and contribute a considerable fraction of biomass-burning emissions, their contribution to SOA formation has not been directly observed. Here, by deploying a newly-developed oxidation flow reactor to study SOA formation from wood burning, we find that IVOCs can contribute ～70% of the formed SOA, i.e.>2 times more than VOCs. This previously missing SOA fraction is interpreted to be due to the high wall losses of semi-volatile oxidation products of IVOCs in smog chambers. The finding in this study reveals that SOA production from biomass burning is much higher than previously thought, and highlights the urgent need for more research on the IVOCs from biomass burning and potentially other emission sources.

关键词： atmospheric chemistry biomass burning secondary organic aerosol intermediate volatility organic compounds

Intraspecific variation in shoot flammability in Dracophyllum rosmarinifolium is not predicted by habitat environmental conditions

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Forest Ecosystems 2022年第2期9卷 178-185页

作者： Xinglei cui Adrian M.Paterson George LW.Perry Sarah V.Wyse Md Azharul Alam Congde Huang Shixing Zhou Lin Xiao Changhong Lai Fang He dongyu Cao Kate Marshall Timothy J.Curran Department of Pest-management and Conservation Lincoln UniversityLincoln7647New Zealand National Forestry and Grassland Administration Engineering Research Centre for Southwest Forest and Grassland Fire Ecological Prevention College of ForestrySichuan Agricultural UniversityChengdu611130China School of Environment University of AucklandAuckland1142New Zealand Bio-Protection Research Centre Lincoln UniversityLincoln7647New Zealand Sichuan Province Forestry and Grassland Environmental Monitoring Centre Chengdu610036China

Background:Flammability is a compound plant trait that can vary significantly across natural populations within *** intraspecific variation in flammability provides insights into the evolution of plant flam-mability and inform understanding of wildfire risk and behaviour in different ***:We measured four flammability variables,representing ignitibility(time to ignition),sustainability(total burning time),combustibility(maximum temperature during burning)and consumability(percentage of biomass consumed by fire)to assess the shoot-level flammability of Dracophyllum rosmarinifolium(***.)(Ericaceae),a polymorphic endemic species distributed throughout New *** examined the relationship between flammability components and a suite of climatic and geographic variables(elevation,latitude,mean annual temperature(MAT),mean annual rainfall(MAR)of the sample locations,etc.).Results:We measured shoot-level flammability components of 62 individuals across eight *** time,maximum temperature and burnt biomass were positively correlated with each other,while ignition score was independent of other flammability *** flammability components varied significantly across the eight *** habitat conditions we considered were not related to any of the shoot-level flammability components of ***:Intraspecific variation in flammability in *** may be a byproduct of selection on other functional traits,such as leaf size,shoot lipid content,indicating that plant flammability is an incidental result,rather than selected for,at least in ecosystems without fire as a selective force.

关键词： Dracophyllum Fire Flammability Habitat