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Advances in Atmospheric Sciences 2024年第6期41卷 1023-1067页

作者： dazhi yang Xiang’ao XIA Martin János MAYER School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Key Laboratory for Middle Atmosphere and Global Environment Observation(LAGEO) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Energy Engineering Faculty of Mechanical EngineeringBudapest University of Technology and EconomicsMűegyetem rkp.3Budapest H-1111Hungary

Owing to the persisting hype in pushing toward global carbon neutrality,the study scope of atmospheric science is rapidly *** numerous trending topics,energy meteorology has been attracting the most attention *** essential skill of solar energy meteorologists is solar power curve modeling,which seeks to map irradiance and auxiliary weather variables to solar power,by statistical and/or physical *** this regard,this tutorial review aims to deliver a complete overview of those fundamental scientific and engineering principles pertaining to the solar power *** power curves can be modeled in two primary ways,one of regression and the other of model *** classes of modeling approaches,alongside their hybridization and probabilistic extensions,which allow accuracy improvement and uncertainty quantification,are scrutinized and contrasted thoroughly in this review.

关键词： review energy meteorology solar power curve model chain solar power prediction

Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product

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Energy and AI 2024年第1期15卷 265-278页

作者： Sebastian Zainali dazhi yang Tomas Landelius Pietro Elia Campana Mälardalen University Department of Sustainable Energy SystemsVästerås SE 72123Sweden School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbinHeilongjiangChina Swedish Meteorological and Hydrological Institute Norrköping SE 60176Sweden

Gridded global horizontal irradiance(GHI)databases are fundamental for analysing solar energy applications’technical and economic aspects,particularly photovoltaic ***,there exist numerous gridded GHI databases whose quality has been thoroughly validated against ground-based irradiance ***,databases that generate data at latitudes above 65˚are few,and those available gridded irradiance products,which are either reanalysis or based on polar orbiters,such as ERA5,COSMO-REA6,or CM SAF CLARA-A2,generally have lower quality or a coarser time resolution than those gridded irradiance products based on geostationary *** the high-latitude gridded GHI databases,the STRÅNG model developed by the Swedish Meteorological and Hydrological Institute(SMHI)is likely the most accurate one,providing data across *** further enhance the product quality,the calibration technique called"site adaptation"is herein used to improve the STRÅNG dataset,which seeks to adjust a long period of low-quality gridded irradiance estimates based on a short period of high-quality irradiance *** study introduces a novel approach for site adaptation of solar irradiance based on machine learning techniques,which differs from the conventional statistical methods used in previous *** machine-learning algorithms have been analysed and compared with conventional statistical approaches to identify Sweden’s most accurate algorithms for site *** irradiance data gathered from three weather stations of SMHI is used for training and *** results show that machine learning can substantially improve the STRÅNG model’s ***,due to the spatiotemporal heterogeneity in model performance,no universal machine learning model can be identified,which suggests that site adaptation is a location-dependant procedure.

关键词： Machine learning Global horizontal irradiance STRÅNG Site adaptation Agrivoltaic Sweden

Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts

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Advances in Atmospheric Sciences 2024年第7期41卷 1417-1437页

作者： Mengmeng SONG dazhi yang Sebastian LERCH Xiang'ao XIA Gokhan Mert YAGLI Jamie M.BRIGHT Yanbo SHEN Bai LIU Xingli LIU Martin Janos MAYER School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin150001China Heidelberg Institute for Theoretical Studies Schloss-Wolfsbrunnenweg 3569118HeidelbergGermany Chair of Statistical Methods and Econometrics Karlsruhe Institute of Technology(KIT)Bluecherstr.1776185KarlsruheGermany Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China Solar Energy Research Institute of Singapore(SERIS) National University of Singapore(NUS)Singapore117574Singapore UK Power Networks LondonSE61NPUK China Meteorological Administration Beijing100081China Heilongjiang Meteorological Bureau Harbin150001China Department of Energy Engineering Faculty of Mechanical EngineeringBudapest University of Technology and EconomicsMűegyetem rkp.3H-1111BudapestHungary

Despite the maturity of ensemble numerical weather prediction(NWP),the resulting forecasts are still,more often than not,*** such,forecast calibration tools have become *** those tools,quantile regression(QR)is highly competitive in terms of both flexibility and predictive ***,a long-standing problem of QR is quantile crossing,which greatly limits the interpretability of QR-calibrated *** this point,this study proposes a non-crossing quantile regression neural network(NCQRNN),for calibrating ensemble NWP forecasts into a set of reliable quantile forecasts without *** overarching design principle of NCQRNN is to add on top of the conventional QRNN structure another hidden layer,which imposes a non-decreasing mapping between the combined output from nodes of the last hidden layer to the nodes of the output layer,through a triangular weight matrix with positive *** empirical part of the work considers a solar irradiance case study,in which four years of ensemble irradiance forecasts at seven locations,issued by the European Centre for Medium-Range Weather Forecasts,are calibrated via NCQRNN,as well as via an eclectic mix of benchmarking models,ranging from the naïve climatology to the state-of-the-art deep-learning and other non-crossing *** and stringent forecast verification suggests that the forecasts post-processed via NCQRNN attain the maximum sharpness subject to calibration,amongst all ***,the proposed conception to resolve quantile crossing is remarkably simple yet general,and thus has broad applicability as it can be integrated with many shallow-and deep-learning-based neural networks.

关键词： ensemble weather forecasting forecast calibration non-crossing quantile regression neural network CORP reliability diagram post-processing

Ecological environmental quality evaluation and driving factor analysis of the Lijiang River Basin,based on Google Earth Engine

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中国生态农业学报（中英文） 2024年第9期32卷 1592-1608页

作者： WEI Xi yang dazhi CAI Xiangwen SHAO Ya TANG Xiangling College of Earth Sciences Guilin University of TechnologyGuilin 541006China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological *** the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and *** autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River ***,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental *** results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant *** area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the ***,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River *** with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great *** study aimed to enhance understanding of the evolution of the ecol

关键词： Ecological environmental quality Remote sensing ecological index Driving factor Google Earth Engine Lijiang River Basin

A Deep-Learning and Transfer-Learning Hybrid Aerosol Retrieval Algorithm for FY4-AGRI:Development and Verification over Asia

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Engineering 2024年第7期38卷 164-174页

作者： Disong Fu Hongrong Shi Christian AGueymard dazhi yang Yu Zheng Huizheng Che Xuehua Fan Xinlei Han Lin Gao Jianchun Bian Minzheng Duan Xiangao Xia Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 10029China Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Solar Consulting Services ColebrookNH 03576USA School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150006China State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry Institute of Atmospheric Composition and Environmental MeteorologyChinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081China National Institute of Natural Hazards Ministry of Emergency Management of ChinaBeijing100085China Key Laboratory of Compound and Chained Natural Hazards Dynamics Ministry of Emergency Management of ChinaBeijing 100085China h National Satellite Meteorological Center China Meteorological AdministrationBeijing 100081China University of Chinese Academy of Sciences Beijing 100049China

The Advanced Geosynchronous Radiation Imager(AGRI)is a mission-critical instrument for the Fengyun series of *** acquires full-disk images every 15 min and views East Asia every 5 min through 14 spectral bands,enabling the detection of highly variable aerosol optical depth(AOD).Quantitative retrieval of AOD has hitherto been challenging,especially over *** this study,an AOD retrieval algorithm is proposed that combines deep learning and transfer *** algorithm uses core concepts from both the Dark Target(DT)and Deep Blue(DB)algorithms to select features for the machinelearning(ML)algorithm,allowing for AOD retrieval at 550 nm over both dark and bright *** algorithm consists of two steps:①A baseline deep neural network(DNN)with skip connections is developed using 10 min Advanced Himawari Imager(AHI)AODs as the target variable,and②sunphotometer AODs from 89 ground-based stations are used to fine-tune the DNN ***-of-station validation shows that the retrieved AOD attains high accuracy,characterized by a coefficient of determination(R2)of 0.70,a mean bias error(MBE)of 0.03,and a percentage of data within the expected error(EE)of 70.7%.A sensitivity study reveals that the top-of-atmosphere reflectance at 650 and 470 nm,as well as the surface reflectance at 650 nm,are the two largest sources of uncertainty impacting the *** a case study of monitoring an extreme aerosol event,the AGRI AOD is found to be able to capture the detailed temporal evolution of the *** work demonstrates the superiority of the transfer-learning technique in satellite AOD retrievals and the applicability of the retrieved AGRI AOD in monitoring extreme pollution events.

关键词： Aerosol optical depth Retrieval algorithm Deep learning Transfer learning Advanced Geosynchronous Radiation Imager

骨质疏松风险预测模型的构建:利用IOF骨质疏松一分钟测试

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中国骨质疏松杂志 2024年第4期30卷 488-493页

作者：张坤王敏张光荣易伟宏杨大志深圳大学医学部广东深圳518061 华中科技大学协和深圳医院(南山医院)脊柱外科广东深圳518052 深圳市南山医疗集团后海社康广东深圳518064

目的利用IOF骨质疏松症风险1 min测试,构建临床预测模型来作为骨质疏松的评估工具。方法通过收集在本院骨科骨质疏松专病门诊就诊的470名对象的骨质疏松症风险1 min测试结果和骨质疏松患病数据,利用LASSO回归模型和多因素Logtisic回归... 详细信息

目的利用IOF骨质疏松症风险1 min测试,构建临床预测模型来作为骨质疏松的评估工具。方法通过收集在本院骨科骨质疏松专病门诊就诊的470名对象的骨质疏松症风险1 min测试结果和骨质疏松患病数据,利用LASSO回归模型和多因素Logtisic回归分析患者发生骨质疏松的风险因素,并建立骨质疏松风险预测模型。结果LASSO回归结果显示,父母是否有过骨折或者被诊断为骨质疏松症,父母曾经有人驼背,患者实际年龄超过40岁或BMI≤18.5 kg/m^(2)等9个问题,被定义为发生骨质疏松风险的特征变量。多因素Logtisic回归结果表明,年龄(OR:1.12,95%CI:1.09~1.15)、性别(OR:6.81,95%CI:3.95~12.1)、是否在成年之后因轻摔发生骨折(OR:2.87,95%CI:1.82~4.26)、每天运动量少于30 min(OR:1.59,95%CI:1.29~2.18)与骨质疏松的高风险有关(P<0.05)。利用Logtisic回归构建列线图模型,其预测骨质疏松发生的的ROC曲线下面积为值为0.856。通过校准曲线研究表明,其优势在于列线图模型的理想曲线与偏差校正曲线能够保持较好的一致性。从临床适用性来说,与“全干预”和“不干预”方案相比较,列线图模型的临床净收益率均表现出一定优势。结论利用IOF提供的骨质疏松症风险1 min测试,构建出的风险预测模型有良好的预测效果,可以为临床医生提供参考和帮助。

关键词：骨质疏松骨质疏松症风险1 min测试风险预测模型

A Concise Overview on Solar Resource Assessment and Forecasting

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Advances in Atmospheric Sciences 2022年第8期39卷 1239-1251页

作者： dazhi yang Wenting WANG Xiang'ao XIA School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150006China Key Laboratory for Middle Atmosphere and Global Environment Observation(LAGEO)

China’s recently announced directive on tackling climate change,namely,to reach carbon peak by 2030 and to achieve carbon neutrality by 2060,has led to an unprecedented nationwide response among the academia and *** such a directive,a rapid increase in the grid penetration rate of solar in the near future can be fully *** solar radiation is an atmospheric process,its utilization,as to produce electricity,has hitherto been handled by *** that,it is thought important to bridge the two fields,atmospheric sciences and solar engineering,for the common good of carbon *** thisüberreview,all major aspects pertaining to solar resource assessment and forecasting are discussed in *** the size of the topic at hand,instead of presenting technical details,which would be overly lengthy and repetitive,the overarching goal of this review is to comprehensively compile a catalog of some recent,and some not so recent,review papers,so that the interested readers can explore the details on their own.

关键词： review solar forecasting solar resource assessment

Effects of Predeformation on the Reverse Martensitic Transformation of TiNi Shape Memory Alloy

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Journal of Materials Science & Technology 2000年第6期16卷 611-614页

作者： Yanjun ZHENG Lishan CUI Fan ZHANG dazhi yang Department of Materials Science and Engineering University of Petroleum Beijing 102200 China Department of Materials Engineering Dalian University of Technology Dalian 116024 China

DSC was used to study the effects of predeformation on the reverse martensitic transformation of near-equiatomic TiNi alloy. Both the start temperature As and the finish temperature Af of the reverse transformation increased with increasing degree of predeformation, but the algebraic difference between As and Af decreased with increasing predeformation until it reached a minimum value, then remained unchanged with further deformation. Transformation heat also increased with increasing predeformation until it reached a maximum value, then decreased with further predeformation. All the phenomena above were considered to be closely related with the release of elastic strain energy during predeformation.

关键词： TiNi Effects of Predeformation on the Reverse Martensitic Transformation of TiNi Shape Memory Alloy

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考虑建成环境的酒驾事故时空分布特征

交通科技与经济 2024年第4期26卷 36-44页

作者：于晓桦田雨晗杨大志山东建筑大学交通工程学院济南250101

为深入了解我国酒驾事故的时空分布特征及其与周围建成环境的空间距离阈值,以济南市2022年发生的1034起酒驾事故与13029起非酒驾事故案例为研究对象,结合季节性强度指数与地理集中指数等衡量指标,分析酒驾事故的时空分布特征;利用近邻... 详细信息

为深入了解我国酒驾事故的时空分布特征及其与周围建成环境的空间距离阈值,以济南市2022年发生的1034起酒驾事故与13029起非酒驾事故案例为研究对象,结合季节性强度指数与地理集中指数等衡量指标,分析酒驾事故的时空分布特征;利用近邻分析与基于最大类簇直径改进的K-means聚类算法,探究出周围建成环境与酒驾事故点的空间距离阈值。结果表明:酒驾事故的时间分布季节强度指数为4.128,大于非酒驾事故的3.839,时间分布差异性更大,且高发时段(20:00—02:00)与餐饮服务的高峰营业时间一致。酒驾事故的地理集中指数G为32.713%,大于均匀分布情况下的地理集中指数G,空间集聚程度更高,且与周围建成环境分布具有密切联系。餐饮服务、购物服务、住宿服务与商务住宅的聚类中心点到酒驾事故点的距离阈值分别为798.415 m、694.378 m、658.234 m与739.622 m。

关键词：交通安全酒驾事故近邻分析 K-means聚类算法距离阈值

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Study on Stress-softening Effect in CuZnAl Shape Memory Alloys

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Rare Metals 1989年第4期9卷 38-43页

作者： Yi, Huchun Qi, Min Wang, Fengting yang, dazhi Dalian Univ of Technology China

The effect of mechanical cyclings on the stress-strain(S-S) curves was studied systematically using tensile tests over a wide temperature range. Two-stage yielding was observed in the temperature range between Ms and the ultimate temperature to induce martensite, denoted by Md. The first stage was confirmed to be associated with stress-induced martensite(SIM) and the second stage was associated with the yielding of SIM. When the samples were mechanically cycled between Ms and Md, a stress-softening phenomenon was observed. The cyclings made the martensite amount increase, critical stress σc of SIM decrease according to exponential law, and the entropy(also enthalpy) of the parent to martensite transformation also decrease. The variations of SIM relative amount were determined by recording the changes of electrical resistances in the course of tension.

关键词： Copper and Alloys Phase Transitions Copper Metallography Martensite Materials with Memory Phase Transitions Metals Testing Tensile Tests Stresses Effects