特聘副教授 硕士生导师
入职时间：2018-03-20
所在单位：地球科学与信息物理学院
学历：博士研究生毕业
办公地点：物理楼606
性别：男
联系方式：wangweicn@csu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：武汉大学
学科：测绘科学与技术



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王威

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个人简介王威，男，1989年9月出生，摄影测量与遥感专业博士。2017年12月毕业于武汉大学测绘遥感信息工程国家重点实验室，获工学博士学位。2018年3月聘为中南大学特聘副教授。现从事光学和激光遥感、大气环境遥感、点云数据处理与应用等方面的研究。在国内外发表科研论文40余篇，其中第一/通讯作者论文20余篇，代表性论文发表在J Geophys Res-Atmos、J CleanProd、EnvironPollut、光学学报等国内外期刊上。担任中国激光雷达专业委员会委员、Remote Sens期刊（中科院二区SCI）客座编辑，J CleanProd、Sci Total Environ、Atmos Environ和J Quant Spectrosc Ra等SCI期刊审稿人。现主持/参与国家自然科学基金和国家重点研发计划等项目/课题多项。

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工作经历

2018/03-至今 中南大学特聘副教授

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科研项目

主持/参与项目
1) 湖南省自然科学基金(青年基金), 星载激光雷达气溶胶和MODIS大气廓线协同下的区域边界层高度反演研究，2020年1月-2022年12月（主持）;
2) 国家自然科学基金(青年基金), 引入MODIS温湿度廓线的星载激光雷达边界层高度提取算法研究，2020年1月-2022年12月（主持）;
3) 国家自然科学基金(重点项目),含过氧缺陷的岩石大试件微波介电与微波辐射受力变化规律，2020年1月-2024年12月（参与）;
4) 国家重点研发计划，高光谱与激光探测遥感数据地震应用技术研究，2019年1月-2021年12月（参与）;
5) 武汉大学开放基金，基于静止卫星Himawari-8的小时级PM2.5遥感方法研究，2019年1月-2020年12月（主持）;
6) 国家重点研发计划，高光谱激光雷达理论体系建立及总体技术集成研发，2018年5月-2022年4月（参与）;
7) 中南大学特聘副教授启动基金，2018年3月-2023年3月（主持）;
8) 国家自然科学基金(青年基金), 基于星载差分吸收激光雷达的城市地区CO2浓度反演方法研究, 2016年1月-2018年12月（参与）;
9) 国家自然科学基金(青年基金), 基于物理约束的星载激光雷达多尺度反演方法研究, 2018年1月-2020年12月（参与）;

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科研论文

1. 发表论文(一作/通讯)
[1] Wei Wang, Junchen He, Zelang Miao * and Lin Du. Space–Time Linear Mixed-Effects (STLME) model for mapping hourly fine particulate loadings in the Beijing–Tianjin–Hebei region, China. Journal of Cleaner Production 2021; 292: 125993.
[2] Weiwei Xu,Wei Wang*and Biyan Chen. Comparison of hourly aerosol retrievals from JAXA Himawari/AHI in version 3.0 and a simple customized method. Scientific reports 2020; 10: 20884.

[3] Lin Du, Ya'ni Pan andWei Wang*. Random Sample Fitting Method to Determine the Planetary Boundary Layer Height Using Satellite-Based Lidar Backscatter Profiles. Remote Sensing 2020; 12: 4006.

[4] Zhang, Yixiao,Wang, Wei *, Ma, Yingying, Wu, Lixin, Xu, Weiwei and Li, Jia. Improvement in hourly PM2.5 estimations for the Beijing-Tianjin-Hebei region by introducing an aerosol modeling product from MASINGAR. Environmental Pollution 2020; 264: 1146-1191.
[5] Zhang, Taixin, Zang, Lin, Wan, Youchuan,Wang, Wei *and Zhang, Yi. Ground-level PM2.5 estimation over urban agglomerations in China with high spatiotemporal resolution based on Himawari-8. Science of The Total Environment 2019; 676: 535-544.
[6] Xu, Weiwei,Wang, Wei *and Wu, Lixin. New Regression Method to Merge Different MODIS Aerosol Products Based on NDVI Datasets. Atmosphere 2019; 10: 303.
[7] Wang, Wei, Zhang, Tianhao and Pan, Zengxin. Four-year ground-based observations of the aerosol effects on cloud base height in Wuhan, China. Atmospheric Pollution Research 2019.
[8] Wang, Wei, Mao, Feiyue, Zou, Bin, Guo, Jianping, Wu, Lixin, Pan, Zengxin and Zang, Lin. Two-stage model for estimating the spatiotemporal distribution of hourly PM1. 0 concentrations over central and east China. Science of The Total Environment 2019; 675: 658-666.
[9] Wang, Wei, Mao, Feiyue, Pan, Zengxin, Gong, Wei, Yoshida, Mayumi, Zou, Bin and Ma, Huiyun. Evaluating Aerosol Optical Depth from Himawari-8 with Sun Photometer Network. Journal of Geophysical Research: Atmospheres 2019; 124: 5516-5538.
[10] Wang, Wei, Gong, Wei, Mao, Feiyue and Pan, Zengxin. Physical constraint method to determine optimal overlap factor of Raman lidar. Journal of Optics 2018; 47: 83-90.
[11] Mao, Feiyue, Pan, Zengxin,Wang, Wei *, Li, Siwei and Gong, Wei. Iterative method for determining boundaries and lidar ratio of permeable layer of a space lidar. Journal of Quantitative Spectroscopy and Radiative Transfer 2018; 218: 125-130.
[12] Wang, Wei, Mao, Feiyue, Pan, Zengxin, Du, Lin and Gong, Wei. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan. Remote Sensing 2017; 9: 403.
[13] Wang, Wei, Mao, Feiyue, Du, Lin, Pan, Zengxin, Gong, Wei and Fang, Shenghui. Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing-Tianjin-Hebei in China. Remote Sensing 2017; 9: 858.
[14] Du, Lin, Shi, Shuo, Yang, Jian,Wang, Wei *, Sun, Jia, Cheng, Biwu, Zhang, Zhenbing and Gong, Wei. Potential of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents. Optics Express 2017; 25: 6539-6549.
[15] Wang, Wei, Gong, Wei, Mao, Feiyue, Pan, Zengxin and Liu, Boming. Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China. International Journal of Environmental Research and Public Health 2016; 13: 508.
[16] Wang, Wei, Gong, Wei, Mao, Feiyue and Zhang, Jinye. Long-Term Measurement for Low-Tropospheric Water Vapor and Aerosol by Raman Lidar in Wuhan. Atmosphere 2015; 6: 521-533.
[17] Gong, Wei,Wang, Wei *, Mao, Feiyue and Zhang, Jinye. Improved method for retrieving the aerosol optical properties without the numerical derivative for Raman–Mie lidar. Optics Communications 2015; 349: 145-150.
[18] 熊宇,方圆,陈孝明,黄俊杰,王威*,李晨and张天浩(2016)卫星遥感辅助的输电系统区域污秽状况监测和评估方法研究.
[19] 陈孝明,黄俊杰,阮羚,熊宇,王威*,李晨and张天浩.绝缘子污秽可溶性成分对等值盐密的影响分析.高压电器2016; 52: 184-189.
[20] 王威,毛飞跃,龚威and李俊.基于激光强度分布的激光雷达重叠因子计算及其敏感性分析.光学学报2014: 277-283.
2.合作论文
[1]Biyan Chen, Wenkun Yu, Wujiao Dai, Hao Wu andWei Wang. Assessing the performance of GPS tomography at retrieving water vapour fields during landfalling atmospheric rivers over southern California. Meteorological Applications 2020; 27: e1943.
[2]Lei Guo, Jia Li, Lixin Wu, Zhiwei Li, Yanyang Liu, Xin Li, Zelang Miao andWei Wang. Investigating the recent surge in the Monomah Glacier, Central Kunlun Mountain Range with multiple sources of remote sensing data. Remote Sensing 2020; 12: 966.
[3]Jia Hong, Feiyue Mao, Qilong Min, Zengxin Pan,Wei Wang, Tianhao Zhang and Wei Gong. Improved PM2. 5 predictions of WRF-Chem via the integration of Himawari-8 satellite data and ground observations. Environmental Pollution 2020; 263: 114451.

[4]Yunquan Zhang, Jiaying Fang, Feiyue Mao, Zan Ding, Qianqian Xiang andWei Wang. Age-and season-specific effects of ambient particles (PM1, PM2. 5, and PM10) on daily emergency department visits among two Chinese metropolitan populations. Chemosphere 2020; 246: 125723.
[5]Zhang, Yunquan, Ding, Zan, Xiang, Qianqian,Wang, Wei, Huang, Li and Mao, Feiyue. Short-term effects of ambient PM1 and PM2.5 air pollution on hospital admission for respiratory diseases: Case-crossover evidence from Shenzhen, China. International Journal of Hygiene and Environmental Health 2020; 224: 113418.

[6]Zang, Lin, Mao, Feiyue, Guo, Jianping,Wang, Wei, Pan, Zengxin, Shen, Huanfeng, Zhu, Bo and Wang, Zemin. Estimation of spatiotemporal PM1.0 distributions in China by combining PM2.5 observations with satellite aerosol optical depth. Science of The Total Environment 2019; 658: 1256-1264.
[7]Zang, Lin, Mao, Feiyue, Guo, Jianping, Gong, Wei,Wang, Weiand Pan, Zengxin. Estimating hourly PM1 concentrations from Himawari-8 aerosol optical depth in China. Environmental Pollution 2018; 241: 654-663.
[8]Pan, Zengxin, Mao, Feiyue,Wang, Wei, Zhu, Bo, Lu, Xin and Gong, Wei. Impacts of 3D Aerosol, Cloud, and Water Vapor Variations on the Recent Brightening during the South Asian Monsoon Season. Remote Sensing 2018; 10: 651.
[9]Pan, Zengxin, Mao, Feiyue,Wang, Wei, Logan, Timothy and Hong, Jia. Examining Intrinsic Aerosol-Cloud Interactions in South Asia Through Multiple Satellite Observations. Journal of Geophysical Research: Atmospheres 2018; 123: 11,210-211,224.
[10]Mao, Feiyue, Pan, Zengxin, Henderson, David S.,Wang, Weiand Gong, Wei. Vertically resolved physical and radiative response of ice clouds to aerosols during the Indian summer monsoon season. Remote Sensing of Environment 2018; 216: 171-182.
[11]Lu, Xin, Mao, Feiyue, Pan, Zengxin, Gong, Wei,Wang, Wei, Tian, Liqiao and Fang, Shenghui. Three-Dimensional Physical and Optical Characteristics of Aerosols over Central China from Long-Term CALIPSO and HYSPLIT Data. Remote Sensing 2018; 10: 314.
[12]Liu, Boming, Ma, Yingying, Liu, Jiqiao, Gong, Wei,Wang, Weiand Zhang, Ming. Graphics algorithm for deriving atmospheric boundary layer heights from CALIPSO data. Atmospheric Measurement Techniques 2018; 11: 5075-5085.
[13]Liu, Boming, Ma, Yingying, Gong, Wei, Zhang, Ming,Wang, Weiand Shi, Yifan. Comparison of AOD from CALIPSO, MODIS, and Sun Photometer under Different Conditions over Central China. Scientific reports 2018; 8: 10066.
[14]Pan, Zengxin, Mao, Feiyue, Gong, Wei, Min, Qilong andWang, Wei. The warming of Tibetan Plateau enhanced by 3D variation of low-level clouds during daytime. Remote Sensing of Environment 2017; 198: 363-368.
[15]Mao, Feiyue, Pan, Zengxin,Wang, Wei, Lu, Xin. and Gong, W. Estimating the effects of aerosol, cloud, and water vapor on the recent brightening in India during the monsoon season. Atmos. Chem. Phys. Discuss. 2017; 2017: 1-20.
[16]Pan, Zengxin, Mao, Feiyue, Gong, Wei,Wang, Weiand Yang, Jie. Observation of clouds macrophysical characteristics in China by CALIPSO. Journal of Applied Remote Sensing 2016; 10: 036028-036028.
[17]Pan, Zengxin, Gong, Wei, Mao, Feiyue, Li, Jun,Wang, Wei, Li, Chen and Min, Qilong. Macrophysical and optical properties of clouds over East Asia measured by CALIPSO. Journal of Geophysical Research: Atmospheres 2015; 120: 11,653-611,668.
[18]Mao, Feiyue,Wang, Wei, Min, Qilong and Gong, Wei. Approach for selecting boundary value to retrieve Mie-scattering lidar data based on segmentation and two-component fitting methods. Optics Express 2015; 23: A604-A613.
[19]Mao, Feiyue, Li, Jun, Li, Chen, Gong, Wei, Min, Qilong andWang, Wei. Nonlinear physical segmentation algorithm for determining the layer boundary from lidar signal. Optics Express 2015; 23: A1589-A1602.
[20]Gong, Wei, Zhang, Tianhao, Zhu, Zhongmin, Ma, Yingying, Ma, Xin andWang, Wei. Characteristics of PM1.0, PM2.5, and PM10, and Their Relation to Black Carbon in Wuhan, Central China. Atmosphere 2015; 6: 1377-1387.

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专利和软件著作权

1)王威，徐维维.基于MODIS卫星传感器的气溶胶光学厚度的获取方法。（申请号: 1.X）
2) 毛飞跃，王威，臧琳，潘增新，龚威. 一种基于星载激光雷达的可穿透层层底检测迭代方法。（申请号: 5.2）
3)王威，毛飞跃，臧琳，潘增新，龚威. 一种三通道Raman-Mie激光雷达系统反演软件。（登记号: 2017SR590225）