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Remote sensing and its applications using GNSS reflected signals:advances and prospects

Satellite Navigation 2024年第1期5卷 10-51页

作者： Shuanggen Jin Adriano Camps Yan Jia Feng Wang Manuel Martin-Neira Feixiong Huang Qingyun Yan Shuangcheng Zhang Zhongyu Li Komi Edokossi Dongkai Yang Zhiyu Xiao Zhongmin Ma Weihua Bai Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai200030China School of Surveying and Land Information Engineering Henan Polytechnic UniversityJiaozuo454003China Department of Signal Theory and Communications Technical University of CataloniaBarcelona08034Spain Department of Surveying and Geoinformatics Nanjing University of Posts and TelecommunicationsNanjing210023China School of Electronics and Information Engineering Beihang UniversityBeijing100191China European Space Research and Technology centre(ESTEC) European Space Agency2200-AGNoordwijkThe Netherlands National Space Science Center Chinese Academy of SciencesBeijing100190China School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and TechnologyNanjing210044China College of Geological Engineering and Geomatics Chang’an UniversityXi’an710054China University of Electronic Science and Technology of China Chengdu611731China

The Global Navigation Satellite systems(GNSS),including the US’s GPS,China’s BDS,the European Union’s Galileo,and Russia’s GLONASS,offer real-time,all-weather,any-time,anywhere and high precision observations by transmitting L band signals continuously,which have been widely used for positioning,navigation and *** the development of GNSS technology,it has been found that GNSS-reflected signals can be used to detect earth’s surface characteristics together with other signals of *** this paper,the current status and latest advances are presented on Global Navigation Satellite system-Reflectometry(GNSS-R)in theory,methods,techniques and *** developments and progresses in GNSS-R instruments,theoretical modeling,and signal processing,ground and space-/air-borne experiments,parameters retrieval(*** speed,sea surface height,soil moisture,ice thickness),sea surface altimetry and applications in the atmosphere,oceans,land,vegetation,and cryosphere are given and reviewed in ***,the challenges in the GNSS-R development of each field are also ***,the future applications and prospects of GNSS-R are discussed,including multi-GNSS reflectometry,new GNSS-R receivers,GNSS-R missions,and emerging applications,such as mesoscale ocean eddies,ocean phytoplankton blooms,microplastics detection,target recognition,river flow,desert studies,natural hazards and landslides monitoring.

关键词： GNSS Reflectometry Remote sensing Environmental change

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Deep Learning Approach for Automatic Cardiovascular Disease prediction Employing ECG Signals

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Computer modeling in Engineering & Sciences 2023年第11期137卷 1677-1694页

作者： Muhammad Tayyeb Muhammad Umer Khaled Alnowaiser Saima Sadiq Ala’Abdulmajid Eshmawi Rizwan Majeed Abdullah Mohamed Houbing Song Imran Ashraf Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia Faculty of Computer Science and Information Technology Universiti Tun Husein OnnMalaysia(UTHM)Bahru80536Malaysia Research centre Future University in EgyptNew Cairo11745Egypt Department of Information systems University of MarylandBaltimore CountyBaltimoreMD 21250USA Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Cardiovascular problems have become the predominant cause of death worldwide and a rise in the number of patients has been observed ***,electrocardiogram(ECG)data is analyzed by medical experts to determine the cardiac abnormality,which is *** addition,the diagnosis requires experienced medical experts and is ***,automated identification of cardiovascular disease using ECGs is a challenging problem and state-of-the-art performance has been attained by complex deep learning *** study proposes a simple multilayer perceptron(MLP)model for heart disease prediction to reduce computational *** dataset containing averaged signals with window size 10 is used as an *** competing deep learning and machine learning models are used for comparison.K-fold cross-validation is used to validate the *** outcomes reveal that the MLP-based architecture can produce better outcomes than existing approaches with a 94.40%accuracy *** findings of this study show that the proposed system achieves high performance indicating that it has the potential for deployment in a real-world,practical medical environment.

关键词： Cardiovascular disease prediction electrocardiograms deep learning multilayer perceptron

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非结构网格空气质量模式对东亚强沙尘暴的初步模拟研究

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气候与环境研究 2016年第6期21卷 663-677页

作者：郑捷王自发朱江李杰 FANG F PAIN C C 中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室北京100029 中国科学院大学北京100049 中国科学院大气物理研究所国际气候与环境科学中心北京100029 Applied Modelling and Computation Group Department of Earth Science and Engineering Imperial College London

基于中国科学院大气物理研究所自主研发的嵌套网格空气质量数值预报模式（NAQPMS）和英国帝国理工学院应用计算与建模小组（AMCG）研制的有限元流体模式（Fluidity）,构建了非结构网格沙尘传输模式（Fluidity-Dust）,并模拟再现了2010年... 详细信息

基于中国科学院大气物理研究所自主研发的嵌套网格空气质量数值预报模式（NAQPMS）和英国帝国理工学院应用计算与建模小组（AMCG）研制的有限元流体模式（Fluidity）,构建了非结构网格沙尘传输模式（Fluidity-Dust）,并模拟再现了2010年3月19-22日东亚强沙尘暴整个暴发、演变的三维立体动态过程,从整体上对这次沙尘事件有了全新的直观认识和了解。通过利用FY-2D卫星沙尘反演资料及MODIS（Moderate Resolution Imaging Spectroradiometer）卫星反演的气溶胶光学厚度（AOD）资料,可对模拟结果进行整体上对比验证;同时,利用中国9个城市站点的PM10（空气动力学当量直径小于等于10μm的颗粒物,即可吸入颗粒物）地面观测资料以及日本多个站点的激光雷达资料,逐一对比分析了不同地区PM10的时空分布以及沙尘传输经过时的垂直分布情况;并与NAQPMS模式的沙尘模拟结果进行了模式间的对比分析。对比结果均表明：该模式具有较好的模拟能力,能很好地模拟再现整个沙尘暴过程,为今后进一步运用自适应变网格技术以实现对沙尘暴的高精度追踪模拟奠定了基础。不同模式比较是量化模拟不确定性的重要方法。以往沙尘输送模式比较研究表明：起沙量模拟的不确定性是沙尘暴数值模拟的最大不确定来源。本文通过两个具有相同起沙方案的模式对同一沙尘事件的模拟,发现不同的平流方案以及不同的沉降计算也会对沙尘过程模拟产生重要影响。

关键词：非结构网格空气质量模式 Fluidity-Dust模式 NAQPMS模式东亚强沙尘暴

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海相页岩气储层特征研究进展与发展动态

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海相油气地质 2017年第4期22卷 69-76页

作者：张鹏辉梁杰陈建文 Lee Yong Il 袁勇龚建明董刚王文娟张玉玺姜鹍鹏黄晓伟河海大学海洋学院国土资源部油气资源和环境地质重点实验室中国地质调查局青岛海洋地质研究所 School of earth and Environmental Sciences Seoul National University 中国地质大学(武汉)资源学院中国地质调查局油气资源调查中心中国地质大学(北京)能源学院

富有机质泥页岩复杂的沉积成岩过程、细粒特征,以及远小于常规储层的以微米—纳米级为主的孔隙空间,给海相页岩气储层特征研究带来了极大的挑战。近年来借助多项先进技术方法的推广运用,在海相页岩气储层的多个方面形成了重要认识,页岩... 详细信息

富有机质泥页岩复杂的沉积成岩过程、细粒特征,以及远小于常规储层的以微米—纳米级为主的孔隙空间,给海相页岩气储层特征研究带来了极大的挑战。近年来借助多项先进技术方法的推广运用,在海相页岩气储层的多个方面形成了重要认识,页岩有机质与其成熟度关系密切,岩石矿物组分判定方法向定量化发展,岩相预测与建模技术得以应用,但成岩作用对储层的影响尚有待进一步探知,物性变化趋势的认识尚存在不同见解,孔隙结构实现了从定性到定量表征的跨越,页岩力学性质的解析能够有效指导压裂改造。通过进一步分析海相页岩气储层研究的发展动态,就页岩气储层孔隙结构系统表征、区域尺度上成岩与岩相变化的时空配置关系、成岩演化—岩相—孔隙系统—有机质丰度潜在的多元关系等研究方向作出了展望,以期推进储层特征研究在深度和广度上向前发展。

关键词：海相页岩气储层特征研究进展

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臭氧数值预报模型综述

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中国环境监测 2017年第4期33卷 1-16页

作者：刘烽徐怡珊 Atmospheric Research centre Illinois State Water SurveyUniversity of Illinois at Urbana-ChampaignIllinois 61820 南京信息工程大学中国气象局气溶胶与云降水重点开放实验室江苏南京210044 中国环境监测总站国家环境保护环境监测质量控制重点实验室北京100012

光化学大气质量模型在研究臭氧(O_3)污染以及O_3预报方面具有核心作用,是O_3污染防治决策者的有力工具。文章结合目前中国及国际区域尺度光化学大气质量预报模型的研究与应用,重点论述与O_3有关的大气化学过程在数值预报模型中的数学表... 详细信息

光化学大气质量模型在研究臭氧(O_3)污染以及O_3预报方面具有核心作用,是O_3污染防治决策者的有力工具。文章结合目前中国及国际区域尺度光化学大气质量预报模型的研究与应用,重点论述与O_3有关的大气化学过程在数值预报模型中的数学表达和计算方法,阐述大气物理与大气化学过程在主流大气质量数值预报模型中的实现方法及其优势和缺陷,介绍用于数值预报模型的大气物理过程和湍流参数化方案的最新进展。就当前O_3数值模拟的主要输入资料进行讨论,强调那些易被忽视但又显著影响模型预报能力和效果的诸多因素以及模型效果评估的重要性。结合O_3与复合型大气污染的关系,强调区域大气质量数值预报模型的发展趋势与方向以及在大气环境管理方面的意义和作用。

关键词：近地层臭氧臭氧预报空气质量数值预报模型

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An emergency decision support system for the marine pollution

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Marine Science Bulletin 2015年第2期17卷 56-67页

作者：宋军郭俊如牟林刘玉龙李琰袁泽轶李欢高佳王国松姚志刚国家海洋信息中心天津300171 中国海洋大学教育部物理海洋重点实验室山东青岛266100 School of Physical Environmental and Mathematical Sciences University of New South Wales College of Physical and Environmental Oceanography Ocean University of China Department of Marine Earth and Atmospheric Sciences North Carolina State University

The paper introduces the research progress in an emergency decision support system for marine pollution （EDSS） in China seas and elaborates on the possible role of the Neutron Activation Analysis （NAA） method therein. To deal with the increasingly grave situation of offshore pollution, the EDSS for China seas has been researching and developing. Based on the prediction and analysis of the ocean three-dimensional current field, this system makes an inference on the possible path of diffusion and influencing area of marine pollutants and possible location of pollution source, and in combination with the environmentally sensitive information related to the technical integration of GIS, it puts forward the decision, making support for minimizing the hazard caused by pollutants. This system has been operationalized and running for many years on the Bohai and Huanghai seas＇ Marine Pollutants prediction and Early-Warning, and it has achieved successful experience for many times in the emergencies of China＇s coastal pollution accidents. At present, the environmental guarantee system directed against heavy metals and radioactive pollutants is in the experimental stage. As the NAA method is especially applicable to the detection of part of heavy metals and radioactive substances, it is of very important practical value for the new system to realize the monitoring, prediction and early-warning of ocean heavy metals and radioactive pollutants.

关键词： marine pollution Neutron Activation Analysis ocean modeling

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A demonstration project of Global Alliance against Chronic Respiratory Diseases:prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach

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Chinese Medical Journal 2020年第13期133卷 1561-1567页

作者： Mikhail Sofiev Yuliia Palamarchuk Annabelle Bedard Xavier Basagana Josep M.Anto Rostislav Kouznetsov Rodrigo Delgado Urzua Karl Christian Bergmann Joao A.Fonseca Govert De Vries Michiel Van Erd Isabella Annesi-Maesano Daniel Laune Jean Louis Pepin Ingrid Jullian-Desayes Stephane Zeng Wienczyslawa Czarlewski Jean Bousquet Finnish Meteorological Institute(FMI) Helsinki 00560Finland Barcelona Institute for Global Health Centre for Research in Environmental Epidemiology(CREAL)Barcelona 08003Spain Centro de Investigacion Biomedica en Red de Epidemiologia y Salud Publica(CIBER)Epidemiologia y Salud Publica(CIBERESP) Barcelona 08003Spain Universitat Pompeu Fabra(UPF) Barcelona 08003Spain Institut Hospital del Mar d'lnvestigacions Mediques(IMIM) Barcelona 08003Spain Charite-Universitatsmedizin Berlin Corporate Member of Freie Universitat BerlinHumboldt-Uniersitat zu Berlin and Berlin Institute of HealthComprehensive Allergy-CentreDepartment of Dermatology and AllergyBerlin 10117Germany Center for Health Technology and Services Research(CINTESIS) Center for Research in Health Technology and Information SystemsFaculdade de Medicina da Universidade do Portoand MedidaLda Porto s/n 4200-450Portugal Peercode BV Geldermalsen 4191 NWThe Netherlands Epidemiology of Allergic and Respiratory Diseases Department Institute Pierre Louis of Epidemiology and Public HealthINSERM and Sorbonne UniversiteMedical School Saint AntoineParis 75571France KYomed Innovation Montpellier 34184France Universite Grenoble Alpes Laboratoire HP2GrenobleINSERMU1042 and CHU de GrenobleGrenoble 38000France Bull DSAS Echirolles 38130France Medical Consulting Czarlewski Levalloisand MASK-airMontpellier 92300France University Hospital Montpellier Montpellier 34000France Contre les Maladies Chroniques pour un Vieillissement Actif en Languedoc Roussillon-France MontpellierFrance Charite Universitatsmedizin BerlinHumboldt-Universitat zu Berlinand Berlin Institute of HealthComprehensive Allergy CenterDepartment of Dermatology and AllergyBerlin 10117Germany

This review analyzes the state and recent progress in the field of information support for pollen allergy *** decades,information available for the patients and allergologists consisted of pollen counts,which are vital but *** technology paves the way to substantial increase in amount and diversity of the *** paper reviews old and newly suggested methods to predict pollen and air pollutant concentrations in the air and proposes an allergy risk concept,which combines the pollen and pollution information and transforms it into a qualitative risk *** new index is available in an app(Mobile Airways Sentinel NetworK-air)that was developed in the frame of the European Union grant Impact of Air POLLution on sleep,Asthma and Rhinitis(a project of European Institute of Innovation and Technology-Health).On-going transformation of the pollen allergy information support is based on new technological solutions for pollen and air quality monitoring and *** new information-technology and artificial-intelligence-based solutions help to convert this information into easy-to-use services for both medical practitioners and allergy sufferers.

关键词： Pollen allergy Pollen season Google trends Pollen dispersion modeling system for Integrated modeLling of Atmospheric coMposition model Pollen index Air quality index

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