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Modeling of Spring Phenology of Boreal Forest by Coupling Machine Learning and Diurnal Temperature Indicators

Chinese Geographical Science 2025年第1期35卷 38-54页

作者： deng Guorong ZHANG hongyan hong Ying GUO Xiaoyi YI Zhihua EHSAN BINIYAZ School of Hydraulic Engineering Nanchang Institute of TechnologyNanchang 330099China Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains Ministry of EducationSchool of Geographical SciencesNortheast Normal UniversityChangchun 130024China Urban Remote Sensing Application Innovation Center School of Geographical SciencesNortheast Normal UniversityChangchun 130024China School of Geographical Sciences Inner Mongolia Normal UniversityHohhot 010022China Landscape Ecology and Geoinformation Science Department of GeographyKiel UniversityKiel 24118Germany

The roles of diurnal temperature in providing heat accumulation and chilling requirements for vegetation spring phenology *** previous studies have established a stronger correlation between leaf onset and diurnal temperature than between leaf onset and average temperature,current research on modeling spring phenology based on diurnal temperature indicators remains *** this study,we confirmed the start of the growing season(SOS)sensitivity to diurnal temperature and average temperature in boreal *** estimation of SOS was carried out by employing K-Nearest Neighbor Regression(KNR-TDN)model,Random Forest Regres-sion(RFR-TDN)model,eXtreme Gradient Boosting(XGB-TDN)model and Light Gradient Boosting Machine model(LightGBM-TDN)driven by diurnal temperature indicators during 1982-2015,and the SOS was projected from 2015 to 2100 based on the Coupled Model Intercomparison Project Phase 6(CMIP6)climate scenario *** sensitivity of boreal forest SOS to daytime temperature is greater than that to average temperature and nighttime *** LightGBM-TDN model perform best across all vegetation types,exhibiting the lowest RMSE and bias compared to the KNR-TDN model,RFR-TDN model and XGB-TDN *** incorporating diurn-al temperature indicators instead of relying only on average temperature indicators to simulate spring phenology,an improvement in the accuracy of the model is ***,the preseason accumulated daytime temperature,daytime temperature and snow cover end date emerged as significant drivers of the SOS simulation in the study *** simulation results based on LightGBM-TDN model exhibit a trend of advancing SOS followed by stabilization under future climate *** study underscores the potential of diurn-al temperature indicators as a viable alternative to average temperature indicators in driving spring phenology models,offering a prom-ising new method for simulating spring phenology.

关键词： spring phenology diurnal temperature machine learning future climate scenarios boreal forest

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Intelligent field monitoring system for cruciferous vegetable pests using yellow sticky board images and an improved Cascade R-CNN

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Journal of Integrative Agriculture 2025年第1期24卷 220-234页

作者： Yufan Gao Fei Yin chen hong Xiangfu chen Hang deng Yongjian Liu Zhenyu Li Qing Yao School of Computer Science and Technology Zhejiang Sci-Tech UniversityHangzhou 310018China Collaborative Innovation Center Guangdong Academy of Agricultural SciencesGuangzhou 510640China

Cruciferous vegetables are important edible vegetable ***,they are susceptible to various pests during their growth process,which requires real-time and accurate monitoring of these pests for pest forecasting and scientific *** yellow sticky boards is a common way to monitor and trap those pests which are attracted to the yellow *** achieve real-time,low-cost,intelligent monitoring of these vegetable pests on the boards,we established an intelligent monitoring system consisting of a smart camera,a web platform and a pest detection algorithm deployed on a *** the operator sets the monitoring preset points and shooting time of the camera on the system platform,the camera in the field can automatically collect images of multiple yellow sticky boards at fixed places and times every *** pests trapped on the yellow sticky boards in vegetable fields,Plutella xylostella,Phyllotreta striolata and flies,are very small and susceptible to deterioration and breakage,which increases the difficulty of model *** solve the problem of poor recognition due to the small size and breaking of the pest bodies,we propose an intelligent pest detection algorithm based on an improved Cascade R-CNN model for three important cruciferous crop *** algorithm uses an overlapping sliding window method,an improved Res2Net network as the backbone network,and a recursive feature pyramid network as the neck *** results of field tests show that the algorithm achieves good detection results for the three target pests on the yellow sticky board images,with precision levels of 96.5,92.2 and 75.0%,and recall levels of 96.6,93.1 and 74.7%,respectively,and an F_(1) value of *** with other algorithms,our algorithm has a significant advantage in its ability to detect small target *** accurately obtain the data for the newly added pests each day,a two-stage pest matching algorithm was *** algorithm performed well and achieved

关键词： vegetable pests yellow sticky boards intelligent monitoring system deep learning pest detection

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求解无限域动力刚度矩阵的双渐近算法

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工程力学 2014年第6期31卷 30-34,41页

作者：陈灯红杜成斌三峡大学土木与建筑学院湖北宜昌443002 河海大学工程力学系江苏南京210098

采用连分式算法可以有效地求解无限域动力刚度表示的比例边界有限元方程,它具有收敛范围广、收敛速度快等优点。该文在高频渐近连分式算法的基础上考虑了低频渐近,发展了一种针对矢量波动方程的双渐近算法。随着展开阶数的增加,双渐近... 详细信息

采用连分式算法可以有效地求解无限域动力刚度表示的比例边界有限元方程,它具有收敛范围广、收敛速度快等优点。该文在高频渐近连分式算法的基础上考虑了低频渐近,发展了一种针对矢量波动方程的双渐近算法。随着展开阶数的增加,双渐近算法可以在全频域范围内快速逼近准确解。引入了系数矩阵X(i)来增强连分式算法的数值稳定性。通过在高频极限、低频极限时满足动力刚度表示的比例边界有限元方程,建立了递推关系以求得动力刚度矩阵。通过二维半无限楔形体、三维均质弹性半空间数值算例表明,双渐近算法比单渐近算法更稳定、优越。

关键词：比例边界有限元法无限域动力刚度矩阵双渐近连分式矢量波

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结构-地基动力相互作用的时域模型

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岩土力学 2014年第4期35卷 1164-1172页

作者：陈灯红杜成斌三峡大学土木与建筑学院湖北宜昌443002 河海大学工程力学系南京210098

结构-地基动力相互作用是结构地震响应分析及安全评估的一个非常重要课题。基于比例边界有限元法,提出了一种新颖的结构-地基动力相互作用的时域模型,即采用比例边界有限元子域模拟近场有限域部分,采用高阶透射边界模拟远场无限域部分... 详细信息

结构-地基动力相互作用是结构地震响应分析及安全评估的一个非常重要课题。基于比例边界有限元法,提出了一种新颖的结构-地基动力相互作用的时域模型,即采用比例边界有限元子域模拟近场有限域部分,采用高阶透射边界模拟远场无限域部分。通过采用连分式展开和引入辅助变量,有限域的动力方程采用高阶的静力刚度矩阵和质量矩阵表示。高阶透射边界精确满足无限远处的辐射边界条件,具有全局精确、时间局部和收敛速度快等优点。它是基于改进的连分式法求解无限域动力刚度矩阵而建立的,在时域里表示为一阶常微分方程组。通过联立有限域和无限域的运动方程,建立了结构-地基相互作用的标准动力学方程,采用Newmark法可直接求解。3个算例结果表明,该算法在时域里比黏弹性边界更精确、有效。

关键词：比例边界有限元法结构-地基动力相互作用高阶透射边界黏弹性边界时域分析

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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements

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Geodesy and Geodynamics 2025年第1期16卷 42-54页

作者： Liansheng deng Yugang Xiao Qusen chen Wei Peng Zhao Li Hua chen Zhiwen Wu School of Electrical and Electronic Information Engineering Hubei Polytechnic University Hubei Luojia Laboratory GNSS Research Center Wuhan University Changjiang Spatial Information Technology Engineering Co. Ltd. Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education Fuzhou University School of Geodesy and Geomatics Wuhan University The First Surveying and Mapping Institute of Hunan Province

The time-varying periodic variations in Global Navigation Satellite System(GNSS) stations affect the reliable time series analysis and appropriate geophysical interpretation. In this study, we apply the singular spectrum analysis(SSA) method to characterize and interpret the periodic patterns of GNSS deformations in China using multiple geodetic datasets. These include 23-year observations from the Crustal Movement Observation Network of China(CMONOC), displacements inferred from the Gravity Recovery and Climate Experiment(GRACE), and loadings derived from Geophysical models(GM). The results reveal that all CMONOC time series exhibit seasonal signals characterized by amplitude and phase modulations, and the SSA method outperforms the traditional least squares fitting(LSF) method in extracting and interpreting the time-varying seasonal signals from the original time series. The decrease in the root mean square(RMS) correlates well with the annual cycle variance estimated by the SSA method, and the average reduction in noise amplitudes is nearly twice as much for SSA filtered results compared with those from the LSF method. With SSA analysis,the time-varying seasonal signals for all the selected stations can be identified in the reconstructed components corresponding to the first ten eigenvalues. Moreover, both RMS reduction and correlation analysis imply the advantages of GRACE solutions in explaining the GNSS periodic variations,and the geophysical effects can account for 71% of the GNSS annual amplitudes, and the average RMS reduction is 15%. The SSA method has proved to be useful for investigating the GNSS timevarying seasonal signals. It could be applicable as an auxiliary tool in the improvement of nonlinear variations investigations.

关键词： GNSS coordinate time series Singular spectrum analysis Time-varying seasonal signals Loading effects GRACE

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Disentangling microbial coupled fillers mechanisms for the permeable layer optimization process in multi-soil-layering systems

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Journal of Environmental Sciences 2025年第1期147卷 538-549页

作者： Daxin Sun Chuanping Feng Yongheng Zhan Bingbing deng Duoduo Mei Nan chen Weiwu Hu School of Water Resources and Environment MOE Key Laboratory of Groundwater Circulation and Environmental EvolutionChina University of Geosciences(Beijing)Beijing 100083China Journal Center China University of Geosciences(Beijing)Beijing 100083China

Themulti-soil-layering(MSL)systems is an emerging solution for environmentally-friendly and cost-effective treatment of decentralized rural domestic ***,the role of the seemingly simple permeable layer has been overlooked,potentially holding the breakthroughs or directions to addressing suboptimal nitrogen removal performance in MSL *** this paper,the mechanism among diverse substrates(zeolite,green zeolite and biological ceramsite)coupled microorganisms in different systems(activated bacterial powder and activated sludge)for rural domestic wastewater purification was *** removal efficiencies performed by zeolite coupled with microorganisms within 3 days were 93.8%for COD,97.1%for TP,and 98.8%for NH_(4)^(+)-***,activated sludge showed better nitrification and comprehensive performance than specialized nitrifying bacteria *** attained an impressive 89.4%NH4+-N desorption efficiency,with a substantive fraction of NH_(4)^(+)-N manifesting as exchanged ***-throughput 16S rRNA gene sequencing revealed that aerobic and parthenogenetic anaerobic bacteria dominated the reactor,with anaerobic bacteria conspicuously *** the heterotrophic nitrificationaerobic denitrification(HN-AD)process was significant,with the presence of denitrifying phosphorus-accumulating organisms(DPAOs)for simultaneous nitrogen and phosphorus *** study not only raises awareness about the importance of the permeable layer and enhances comprehension of the HN-AD mechanism in MSL systems,but also provides valuable insights for optimizing MSL system construction,operation,and rural domestic wastewater treatment.

关键词： Rural domestic wastewater Multi-soil-layering(MSL)system Heterotrophic nitrification-aerobic denitrification(HN-AD) Nitrogen and phosphorus removal Microbial evolution

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坝-基动力相互作用的高阶时域模型

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水利学报 2014年第5期45卷 547-556页

作者：陈灯红戴上秋彭刚三峡地区地质灾害与生态环境湖北省协同创新中心湖北宜昌443002 三峡大学土木与建筑学院湖北宜昌443002 河海大学工程力学系江苏南京210098

采用有限元法模拟近场有限域,并采用基于比例边界有限元法的高阶透射边界模拟远场无限域,建立了一种坝-基动力相互作用的时域模型。模型的高阶透射边界由采用改进的连分式法求解无限域动力刚度矩阵建立,在时域里表示为一阶常微分方程组... 详细信息

采用有限元法模拟近场有限域,并采用基于比例边界有限元法的高阶透射边界模拟远场无限域,建立了一种坝-基动力相互作用的时域模型。模型的高阶透射边界由采用改进的连分式法求解无限域动力刚度矩阵建立,在时域里表示为一阶常微分方程组。它能精确满足无限远处的辐射阻尼,具有全局精确、时间局部和收敛速度快等优点。对近场有限域和远场无限域在交界面上的相互作用力向量进行耦合,通过联立有限域和无限域的运动方程,建立了坝-基耦合系统的标准动力学方程,该方程可采用直接积分法进行求解。该耦合系统的稳定性取决于其系数矩阵的广义特征值问题;如果出现不稳定情况,采用移谱法以消除虚假模态。通过算例验算,结果表明该算法在时域里具有良好的计算精度和效率。

关键词：坝-基动力相互作用比例边界有限元法高阶透射边界黏弹性边界时域模型

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Ru doping triggering reconstruction of cobalt phosphide for coupling glycerol electrooxidation with seawater electrolysis

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Journal of Energy Chemistry 2025年第1期100卷 317-326页

作者： Binglu deng Jie Shen Jinxing Lu Chuqiang Huang Zhuoyuan chen Feng Peng Yunpeng Liu School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000GuangdongChina School of Chemistry and Chemical Engineering Guangzhou UniversityGuangzhou 510006GuangdongChina Guangdong Key Laboratory for Hydrogen Energy Technologies Foshan 528000GuangdongChina

Seawater electrolysis is a promising approach for sustainable energy without relying on precious ***,the large-scale seawater electrolysis is hindered by low catalytic efficiency and severe anode corrosion caused by the harmful *** contrast to the oxygen evolution reaction (OER)and chlorin ion oxidation reaction (ClOR),glycerol oxidation reaction (GOR) is more thermodynamically and kinetically favorable ***,a Ru doping cobalt phosphide (Ru-CoP_(2)) is proposed as a robust bifunctional electrocatalyst for seawater electrolysis and GOR,for the concurrent productions of hydrogen and value-added *** in situ and ex situ characterization analyses demonstrated that Ru doping featured in the dynamic reconstruction process from Ru-CoP_(2)to Ru-CoOOH,accounting for the superior GOR *** coupling GOR with hydrogen evolution was realized by employing Ru-CoP_(2)as both anode and cathode,requiring only a low voltage of 1.43 V at 100 mA cm^(-2),which was 250 m V lower than that in alkaline *** work guides the design of bifunctional electrocatalysts for energy-efficient seawater electrolysis coupled with biomass resource upcycling.

关键词： Glycerol electrooxidation Hydrogen evolution Ru doping Cobalt phosphide Bifunctional electrocatalysts

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Edge-aware Feature Aggregation Network for Polyp Segmentation

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Machine Intelligence Research 2025年第1期22卷 101-116页

作者： Tao Zhou Yizhe Zhang Geng chen Yi Zhou Ye Wu deng-Ping Fan PCA Lab Key Laboratory of Intelligent Perception and Systems for High-dimensional Information of Ministry of EducationSchool of Computer Science and EngineeringNanjing University of Science and TechnologyNanjing210094China School of Computer Science and Engineering Northwestern Polytechnical University(NPU)Xi’an710129China School of Computer Science and Engineering Southeast UniversityNanjing211189China Computer Vision Lab ETH ZürichZürich8092Switzerland

Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer(CRC)in clinical ***,due to scale variation and blurry polyp boundaries,it is still a challenging task to achieve satisfactory segmentation performance with different scales and *** this study,we present a novel edge-aware feature aggregation network(EFA-Net)for polyp segmentation,which can fully make use of cross-level and multi-scale features to enhance the performance of polyp ***,we first present an edge-aware guidance module(EGM)to combine the low-level features with the high-level features to learn an edge-enhanced feature,which is incorporated into each decoder unit using a layer-by-layer ***,a scale-aware convolution module(SCM)is proposed to learn scale-aware features by using dilated convolutions with different ratios,in order to effectively deal with scale ***,a cross-level fusion module(CFM)is proposed to effectively integrate the cross-level features,which can exploit the local and global contextual ***,the outputs of CFMs are adaptively weighted by using the learned edge-aware feature,which are then used to produce multiple side-out segmentation *** results on five widely adopted colonoscopy datasets show that our EFA-Net outperforms state-of-the-art polyp segmentation methods in terms of generalization and *** implementation code and segmentation maps will be publicly at https://***/taozh2017/EFANet.

关键词： Colorectal cancer polyp segmentation edge-aware guidance module scale-aware convolution module cross-level fusion module

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配对材料对锡青铜基颗粒增强复合材料摩擦磨损性能的影响

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材料工程 2005年第11期33卷 28-31页

作者：邓陈虹陈广志葛启录钢铁研究总院北京100081

通过锡青铜基颗粒增强复合材料与12CrNi3A,38CrMoAlA,GCr15,Cr12MoV四种不同材料的对偶件摩擦磨损性能及磨损机理的研究,发现配对材料对锡青铜颗粒增强材料的抗磨损性能影响很大。结果表明,在实验条件下,锡青铜基增强材料的最佳配对材料... 详细信息

通过锡青铜基颗粒增强复合材料与12CrNi3A,38CrMoAlA,GCr15,Cr12MoV四种不同材料的对偶件摩擦磨损性能及磨损机理的研究,发现配对材料对锡青铜颗粒增强材料的抗磨损性能影响很大。结果表明,在实验条件下,锡青铜基增强材料的最佳配对材料为12CrNi3A。

关键词：颗粒增强摩擦磨损磨损机理

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