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顾及地形差异的高速公路结冰预报模型研究

大气科学 2024年第4期48卷 1499-1510页

作者：黄佳威王永前吴小娟成都信息工程大学资源环境学院成都610225

基于四川省158个逐日气象观测站点数据以及2018~2020年道路气象灾害资料构建数据集,利用皮尔逊相关系数对道路结冰同温度类、湿度类、降水类及其日变化复合特征等14个气象因子进行相关性分析,探索平原和山区地形下道路结冰模式差异,通... 详细信息

基于四川省158个逐日气象观测站点数据以及2018~2020年道路气象灾害资料构建数据集,利用皮尔逊相关系数对道路结冰同温度类、湿度类、降水类及其日变化复合特征等14个气象因子进行相关性分析,探索平原和山区地形下道路结冰模式差异,通过数据集构建不同地形下的Logistic结冰预警模型,同时利用在线性模块中添加L1惩罚项的Lasso(Least Absolute Shrinkage and Selection Operator)原理、基于正交变换减少数据维度的主成分分析(Principle Component Analysis,简称PCA)和基于显著性对变量进行筛选的逐步回归(Stepwise Regression,简称SR)三种方法对模型进行降维改进,并采用五折交叉验证减小偶然误差。研究结果可为复杂地形的道路结冰预警预报提供参考。结论表明:(1)低温均为道路结冰发生的首要条件,相对湿度因子与结冰的相关系数差异说明不同地形下水汽供给模式存在区别。(2)Lasso-Logistic模型在平原和山区地形下预测效果均最佳,平均准确率分别为87.67%和82.62%;SR-Logistic的平均准确率为85.77%和80.64%;PCA-Logistic的准确率均值为84.09%和77.44%。(3)引入气象因子随时间变化的复合特征能够提高模型的预测准确率,添加复合特征的Lasso-Logistic、SR-Logistic和PCA-Logistic模型准确率平均提升了3.68%、3.00%和3.00%。(4)所有模型在平原地区的表现都好于山区,Lasso、SR和PCA Logistic模型的平均准确率分别高出5.06%、5.13%和6.65%。

关键词：高速公路结冰 Logistic 回归气象因子地形差异

人类命运共同体视域下中国武术国际化传播的理路探赜

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山东体育学院学报 2024年第4期40卷 11-17页

作者：王毅王国志闫民王永乾山东体育学院办公室山东济南250102 苏州大学体育学院江苏苏州215021 山东体育学院武术学院山东日照276826

中国武术作为中华传统文化的子系统,其国际化传播对于“讲好中国故事,传播好中国声音”,平衡中国经济发展与文化软实力之间的差距具有重要的时代意义。该研究运用文献资料法、逻辑分析法,对中国武术从“我”走向“我们”的时代价值、现... 详细信息

中国武术作为中华传统文化的子系统,其国际化传播对于“讲好中国故事,传播好中国声音”,平衡中国经济发展与文化软实力之间的差距具有重要的时代意义。该研究运用文献资料法、逻辑分析法,对中国武术从“我”走向“我们”的时代价值、现实困囿以及纾困策略展开探讨。研究发现:中国武术从“我”走向“我们”,能够为构建人类卫生健康共同体贡献中国健身方式;能够为促进全球文化多样性和包容性贡献中国内容;能够为推动构建人类命运共同体传播中国理念。在中国武术从“我”走向“我们”的过程中,面临以下现实困境:民众对中国武术的认知窠臼,导致中国武术国际化传播的价值定位出现偏差;西方国家的“零和博弈”思维,导致中国武术国际化传播的途径受到阻碍;单向度的叙事模式,引起国外民众对中国武术国际化传播的误解与抵制。中国武术的国际化传播,应着重做好以下几方面工作:服务人类命运共同体构建,激发中国武术国际化传播的内生驱动力;维护好共建“一带一路”朋友圈,探寻中国武术智慧化国际传播路径;平衡中国武术文化的普遍性和特殊性,改变传统“二元对立”的叙事模式。

关键词：中国武术人类命运共同体国际化传播 “一带一路”

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论个人基因信息保护与披露的界限

湖湘法学评论 2024年第2期4卷 78-88页

作者：王永茜北京航空航天大学法学院北京100191

知情同意机制难题是大数据时代个人信息保护的瓶颈。在多个领域和多样化应用场景下,个人信息保护面临信息保护与披露、个人利益与公共利益等多个面向的冲突,而患者的基因信息是冲突较为激烈的领域。个人的基因信息属于重要的健康信息,... 详细信息

知情同意机制难题是大数据时代个人信息保护的瓶颈。在多个领域和多样化应用场景下,个人信息保护面临信息保护与披露、个人利益与公共利益等多个面向的冲突,而患者的基因信息是冲突较为激烈的领域。个人的基因信息属于重要的健康信息,医生必须严格遵守知情同意原则,不得任意向他人披露。但医生对于患者与其亲属或其近亲属之间共有的遗传性基因信息进行有限度的、最小化程度的披露,应当为法律所允许。基因信息的隐私权保护路径过于强调患者的知情同意权,有违基因信息的公共性和公共价值。基因信息的共管保护路径重视基因信息的公共性,能够在法律上和医疗业务上设立一种保密与披露相抗衡或者相平衡的机制。

关键词：严格保护个人同意隐私权保护共管保护利益权衡

基于遥感作物参考曲线的黄土高原苹果产区始花期监测

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遥感技术与应用 2024年第2期39卷 328-336页

作者：王梓霖王钊孙亮孙政段梦琦王永前成都信息工程大学资源与环境学院四川成都610225 陕西省农业遥感与经济作物气象服务中心陕西西安710016 中国农业科学院农业资源与农业区划研究所北京100081

苹果种植业为陕西省提升农业、富裕农民的支柱型产业。黄土高原苹果产区每年都有花期防冻害和产量评估的需求,花期监测尤为重要,而常规的花期监测方法存在监测成本大和精度低的问题。采用一种基于遥感作物参考曲线重建的方法,介绍比较... 详细信息

苹果种植业为陕西省提升农业、富裕农民的支柱型产业。黄土高原苹果产区每年都有花期防冻害和产量评估的需求,花期监测尤为重要,而常规的花期监测方法存在监测成本大和精度低的问题。采用一种基于遥感作物参考曲线重建的方法,介绍比较了该方法与其他方法应用于常见作物的精度,并使用地理国情普查地表覆盖分类数据识别的MODIS纯像元中提取一组NDVI时间序列,将其用于拟合类似Sentinel-2的观测值,将这种方法应用于黄土高原地区苹果作物上,根据苹果样点的归一化植被指数(NDVI)序列(作物参考曲线)与重建后的苹果NDVI序列在空间上的物候差异,绘制历史10 m高分辨率的始花期监测结果,实现了花期监测由点到面的转化。研究结果表明:2019~2021三年验证区域苹果始花期的探测结果平均值与地面数据绝对误差均在1~3 d之内,平均绝对误差为0.926 d,均方根误差为1.503 d。该方法可用于苹果花期高精度监测,预测结果可为实际生产中苹果花期防冻害和产量评估工作的开展提供参考,同时这种方法也可以用于研究其他作物的物候特征,如小麦、玉米等,有望为农业生产提供更准确的决策支持。

关键词：作物参考曲线物候苹果始花期探测遥感黄土高原

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湍流旋流氨气–甲烷预混火焰燃烧特性研究

工程热物理学报 2024年第6期45卷 1598-1604页

作者：刘文锋帅瑞洋王平钱伟佳王永倩杨证淳张泽雨 Antonio Ferrante 江苏大学能源研究院镇江212013 浙江大学能源清洁利用国家重点实验室杭州310027 能源与环境中心 Gioia del Colle(BA)意大利米兰70023

为了研究NH_(3)-CH_(4)掺混燃气的燃烧特性,设计了一个可视化的旋流湍流燃烧装置,通过实验对当量比(Ф)、氨气掺混比(X_(NH_(3)))和入口空气流量对燃烧特性的影响进行分析。结果表明:随着当量比增加,燃烧室出口NO排放先增加后减小,在Ф=... 详细信息

为了研究NH_(3)-CH_(4)掺混燃气的燃烧特性,设计了一个可视化的旋流湍流燃烧装置,通过实验对当量比(Ф)、氨气掺混比(X_(NH_(3)))和入口空气流量对燃烧特性的影响进行分析。结果表明:随着当量比增加,燃烧室出口NO排放先增加后减小,在Ф=0.9时达到峰值,对其反应速率和燃烧光谱进行分析,发现NO_(2)和HNO浓度协同影响了NO的反应速率,NO排放和OH基强度呈正相关,NH_(2α)基和H_(2)O蒸气产生的链式反应促进了NO的还原。随着X_(NH_(3))升高,火焰由蓝色逐渐转变为橙黄色,NO排放先增加后减少,在X_(NH_(3))=0.4附近出现峰值。另外,随着入口空气流量的增加,气流速度增大导致湍流强度增大,贫燃状态下NO排放增加,而在富燃状态下排放减少,文中对其中机理进行了分析。

关键词：氨气燃烧旋流湍流火焰一氧化氮排放实验测量燃烧特性

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箱梁混合砂混凝土施工技术研究

甘肃科技 2024年第5期40卷 89-92,101页

作者：王永前才智龙建路桥股份有限公司黑龙江哈尔滨150009 黑龙江省龙建路桥第一工程有限公司黑龙江哈尔滨150009

基于某项目箱梁混凝土施工的特定需求,创新性地提出了箱梁混合砂混凝土施工技术。该技术针对天然河砂质量参差不齐、储量有限的地区,有效解决了箱梁、桥梁下部结构、隧道等混凝土施工中的材料问题。通过严格配比,在机制砂中融入适量天... 详细信息

基于某项目箱梁混凝土施工的特定需求,创新性地提出了箱梁混合砂混凝土施工技术。该技术针对天然河砂质量参差不齐、储量有限的地区,有效解决了箱梁、桥梁下部结构、隧道等混凝土施工中的材料问题。通过严格配比,在机制砂中融入适量天然河砂,精心调整其颗粒级配,形成了一种细度模数适中、极为适合作为混凝土细骨料的混合砂。利用这种混合砂,成功配制出了高性能混凝土,其显著特点包括高耐久性、高体积稳定性以及高抗压强度,确保了在公路桥梁项目箱梁施工中的卓越表现。混合砂混凝土不仅质量稳定,耐久性强,而且能够充分满足箱梁结构对高强度等级的要求,为工程质量的保障提供了有力支撑。

关键词：箱梁混合砂混凝土施工技术

Retrieval of Aerosol Optical Depth for Chongqing Using the HJ-1 Satellite Data

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Journal of Meteorological Research 2017年第3期31卷 586-596页

作者： Zengwu wang Shiqi YANG Qiaolin ZENG yongqian wang College of Environmental and Resource Science Chengdu University of Information Technology Chongqing Institute of Meteorological Sciences

Aerosol optical depth （AOD） is a common indicator applied in monitoring aerosols in the atmosphere. The hilly landscape and rapid economic growth of the megacity Chongqing have facilitated increased aerosol concentration, and it is meaningful to accurately retrieve AOD over Chongqing. The HJ-1A/B satellite of China carries a sensor/camera called the Charge Coupled Device （CCD）, the spatial resolution of which meets the requirement for re- trieving high resolution AOD. In this paper, analysis of the AOD retrievals from different methods using the H J-1 satellite data revealed the most suitable algorithm. Through comparison with the AOD product of Moderate Resolu- tion Imaging Spectroradiometer （MODIS）, the AOD retrieval results using enhanced vegetation index （EVI） to estim- ate dark pixels showed the highest correlation. The continental aerosol model was used to build a lookup table that was able to facilitate a good AOD retrieval for both city and rural areas. Finally, the algorithm that combined dark pixels, buffer areas, and the deep blue algorithm was found to be most suitable for AOD retrieval. The AOD retrieval results based on the HJ-1 data were consistent with MODIS products, and our algorithm yields reasonable results in most cases. The results were also compared with ground-based PMl0 measurements synchronized with the overpass time of the HJ-1 satellite, and high correlation was found. The findings are relevant to other Chinese satellite data used for retrieving AOD on the same channels.

关键词： aerosol optical depth HJ-1 satellite dark pixels algorithm deep blue algorithm

Retrieval algorithm for microwave surface emissivities based on multi-source, remote-sensing data: An assessment on the Qinghai-Tibet Plateau

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Science China Earth Sciences 2013年第2期56卷 93-101页

作者： wang yongqian SHI JianCheng LIU ZhiHong PENG YingJie LIU WenJuan College of Environmental and Resource Science Chengdu University of Information Technology State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences Office of Science and Technology Chengdu University of Information Technology

The Qinghai-Tibet Plateau plays a very important role in studying severe weather in China and around the globe because of its unique characteristics. Moreover, the surface emissivities of the Qinghai-Tibet Plateau are also important for retrieving surface and atmospheric parameters. In the current study, a retrieval algorithm was developed to retrieve the surface emissivities of the Qinghai-Tibet Plateau. The developed algorithm was derived from the radiative transfer model and was first validated using simulated data from a one-dimensional microwave simulator. The simulated results show good precision. Then, the surface emissivities of the Qinghai-Tibet Plateau were retrieved using brightness temperatures from the advanced microwave-scanning radiometer and atmospheric profile data from the moderate resolution imaging spectroradiometer. Finally, the features of the time and space distribution of the retrieved results were analyzed. In terms of spatial characteristics, a spatial distribution con- sistency was found between the retrieved results and surface coverage types of the Qinghai-Tibet Plateau. In terms of time characteristics, the changes in emissivity, which were within 0.01 for every day, were not evident within a one-month time scale. In addition, surface emissivities are sensitive to rainfall. The reasonability of the retrieved results indicates that the algorithm is feasible. A time-series surface emissivity database on the Qinghai-Tibet Plateau can be built using the developed algorithm, and then other surface or atmospheric parameters would have high retrieval precision to support related geological re- search on the Qinghai-Tibet Plateau.

关键词： Qinghai-Tibet Plateau AMSR-E MODIS surface emissivity

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Physical statistical algorithm for precipitable water vapor inversion on land surface based on multi-source remotely sensed data

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Science China Earth Sciences 2015年第1期58卷 2340-2352页

作者： wang yongqian SHI JianCheng wang Hao FENG WenLan wang YanJun College of Environmental and Resource Science Chengdu University of Information Technology State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Chongqing Institute of Meteorological Sciences College of Electronic Engineering Chengdu University of Information Technology

Water vapor plays a crucial role in atmospheric processes that act over a wide range of temporal and spatial scales, from global climate to micrometeorology. The determination of water vapor distribution in the atmosphere and its changing pattern is very important. Although atmospheric scientists have developed a variety of means to measure precipitable water vapor(PWV) using remote sensing data that have been widely used, there are some limitations in using one kind satellite measurements for PWV retrieval over land. In this paper, a new algorithm is proposed for retrieving PWV over land by combining different kinds of remote sensing data and it would work well under the cloud weather conditions. The PWV retrieval algorithm based on near infrared data is more suitable to clear sky conditions with high precision. The 23.5 GHz microwave remote sensing data is sensitive to water vapor and powerful in cloud-covered areas because of its longer wavelengths that permit viewing into and through the atmosphere. Therefore, the PWV retrieval results from near infrared data and the indices combined by microwave bands remote sensing data which are sensitive to water vapor will be regressed to generate the equation for PWV retrieval under cloud covered areas. The algorithm developed in this paper has the potential to detect PWV under all weather conditions and makes an excellent complement to PWV retrieved by near infrared data. Different types of surface exert different depolarization effects on surface emissions, which would increase the complexity of the algorithm. In this paper, MODIS surface classification data was used to consider this influence. Compared with the GPS results, the root mean square error of our algorithm is 8 mm for cloud covered area. Regional consistency was found between the results from MODIS and our algorithm. Our algorithm can yield reasonable results on the surfaces covered by cloud where MODIS cannot be used to retrieve PWV.

关键词： satellite remote sensing precipitable water vapor visible/near infrared thermal infrared microwave

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