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秦凯
发布时间:2022-02-18   浏览次数:

基本信息

姓名:秦凯            

学位:博士

职称:教授

行政职务:遥感与地理信息系副主任、遥感科学与技术专业负责人

研究方向:大气环境遥感、遥感大数据与机器学习

Email: qinkai@cumt.edu.cn

  个人简介

秦凯,男,海洋之神教授、博导,江苏省煤基温室气体减排与资源化利用重点实验室副主任、遥感与地理信息系副主任。本科毕业于中国地质大学(武汉),硕士毕业于华中科技大学,博士毕业于海洋之神(北京)。曾在德国宇航中心遥感技术研究所、韩国延世大学访问学习。

  期刊论文

2021

1.Li Donghui, Qin Kai*, et al., Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 10269-10277.

2.Qin Kai, et al., Quasi-synchronous multi-parameter anomalies before Wenchuan and Yushu earthquakes in China. The European Physical Journal Special Topics, 2021, 230(1):263-274.

3.Fang Jing, Ma Xiaole, Wang Jingjing, Qin Kai, et al., A Noisy SAR Image Fusion Method Based on NLM and GAN, Entropy, 2021, 23(4), 410.

4.Suradi Hamidah, Khan Md F, Sairi Nor A, Rahim Haasyimah A, Yusoff Sumiani, Fujii Yusuke, Qin, Kai, et al., Ambient Levels, Emission Sources and Health Effect of PM2.5-Bound Carbonaceous Particles and Polycyclic Aromatic Hydrocarbons in the City of Kuala Lumpur, Malaysia, Atmosphere, 2021, 12(5), 549.

2020

5.Qin Kai, et al., Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data. Atmospheric Environment, 2020,224(117322).

6.He Qin, Qin Kai*, et al., Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurementsEnvironmental research letters, 2020, 15,125011.

7.Fan Wenzhi, Qin Kai*, et al., Estimation of Hourly Ground-Level PM2.5 Concentration Based on Himawari-8 Apparent Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 2020, 99:1-10.

8.Li Ding, Qin Kai*, et al., Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China. Remote Sensing, 2020, 12(9786).

9.Chen Wei, Wang Hengyang, Zhao Haimeng, Qin Kai*. Google Earth Engine-assisted black carbon radiative forcing calculation over a heavy industrial city in China. Air Quality Atmosphere and Health, 2020,13(3):329-338.

10.Meng Lu, Oliver Schmitz, Keesde Hoogh, Qin Kai, et al., Evaluation of different methods and data sources to optimise modelling of NO2 at a global scale, Environment International, 2020, 142, 105856.

11.Khan Mdfiroz, Hamid Ahmadhazuwan, Ab Rahim Haasyimah, Maulud Khairulnizamabdul, Latif Mohdtalib, Nadzir Mohdshahrulmohd, Sahani, Mazrura, Qin Kai, et al., Science of The Total Environment, 2020, 730(139091).

12.Chen, Wei, Tian, Huimin, Zhao, Haimeng, Qin Kai. Multichannel characteristics of absorbing aerosols in Xuzhou and implication of black carbon. Science of The Total Environment, 2020, 714(136820).

13.Xue Yong, Li Ying, Guang Jie, Tugui Alexandru, She Lu, Qin Kai, et al., Hourly PM2.5 Estimation over Central and Eastern China Based on Himawari-8 Data. Remote Sensing, 2020, 12(8555).

14.Wang Yuchen, Zhang Yu, Ding Nan, Qin Kai, et al., Simulating the Impact of Urban Surface Evapotranspiration on the Urban Heat Island Effect Using the Modified RS-PM Model: A Case Study of Xuzhou, China. Remote Sensing, 2020,12(5783).

15.Liu Mengyao, Lin Jintai, Kong Hao, K. Folkert Boersma, Henk Eskes, Yugo Kanaya, He Qin, Tian Xin, Qin Kai, et al., A new TROPOMI product for tropospheric NO2 columns over East Asia with explicit aerosol corrections, Atmospheric Measurement Techniques, 2020, 13, 4247–4259.

16.李一蜚,秦凯*. 基于梯度提升回归树算法的地面臭氧浓度估算. 中国环境科学,202040(3): 997-1007.

17.何秦,郑硕,秦凯. 基于车载激光雷达走航观测的石家庄及周边地区气溶胶空间分布特征. 红外与激光工程,202049(S2): 229-235.

18.陈琦,秦凯*. 基于涡度相关技术的徐州市城郊CO2通量特征研究地理与地理信息科学,202036(4) :86-93.

2019

19.Li Ding, Qin Kai*, et al., Evaluation of JAXA Himawari-8-AHI Level-3 Aerosol Products over Eastern China. Atmosphere, 2019,10(2154).

20.Fan Wenzhi, Qin Kai*, et al., Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China. Atmospheric Research, 2019, 217:128-136.

21.Chen Wei, Tian Huimin, Qin Kai*. Black Carbon Aerosol in the Industrial City of Xuzhou, China: Temporal Characteristics and Source Appointment. Aerosol and Air Quality Research, 2019,19(4):794-811.

22.Khatri, Pradeep, Iwabuchi, Hironobu, Hayasaka, Tadahiro, Irie, Hitoshi, Takamura, Tamio, Yamazaki, Akihiro, Damiani, Alessandro, Letu, Husi, Qin Kai. Retrieval of cloud properties from spectral zenith radiances observed by sky radiometers. Atmospheric Measurement Techniques, 2019,12(11):6037-6047.

23.Wang Yuchen, Bian Zhengfu, Qin Kai, et al., A modified building energy model coupled with urban parameterization for estimating anthropogenic heat in urban areas. Energy and Buildings, 2019, 202. 

2018

24.Qin Kai, et al., Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014-2017. Atmospheric Environment, 2018,195:149-158.

25.Qin Kai, et al., Haze Optical Properties from Long-Term Ground-Based Remote Sensing over Beijing and Xuzhou, China. Remote Sensing, 2018,10(5184).

26.Qin Kai, et al., Discriminating satellite IR anomalies associated with the MS 7.1 Yushu earthquake in China. Advances in Space Research, 2018, 61(5):1324-1331.

27.Song Dongmei, Xie Ruihuan, Zang Lin, Yin Jingyuan, Qin Kai, et al., A New Algorithm for the Characterization of Thermal Infrared Anomalies in Tectonic Activities. Remote Sensing, 2018,10(194112).

28.Zhang Yu, Li Long, Qin Kai, et al., Remote sensing estimation of urban surface evapotranspiration based on a modified Penman-Monteith model. Journal of Applied Remote Sensing, 2018,12(0460064).

29.Xiao Xin, Qin Kai, Sun Xiaofei, et al., Will wheat be damaged by heavy metals on exposure to coal fly ash?. Atmospheric Pollution Research, 2018, 9(5):814-821.

30.樊文智,秦凯*,等. 基于移动激光雷达观测的徐州市区气溶胶分布特征. 中国环境科学,201838(8): 2857-2864.

31.张宾,秦凯*,等. 地震前卫星遥感微波辐射异常统计分析:以堪察加半岛为例. 地震学报, 201840(1):98-107.

2017

32.Qin Kai, et al., A campaign for investigating aerosol optical properties during winter hazes over Shijiazhuang, China. Atmospheric Research, 2017,198:113-122.

33.Qin Kai, et al., Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model. Remote Sensing, 2017, 9(9509).

34.Wong Mansing, Qin Kai* et al., Continuous ground-based aerosol Lidar observation during seasonal pollution events at Wuxi, China. Atmospheric Environment, 2017,154:189-199.

35.滕继峣,秦凯*,等.基于激光雷达观测的大气边界层自动识别局部最优点算法.光谱学与光谱分析,201737(2): 361-367.

36.吴立新,秦凯.断裂活动及孕震过程遥感热异常分析的研究进展.测绘学报,201746(10):1-7.

37.韩亚芳,吴立新,白杨,秦凯. 太湖北岸气溶胶光学特性长期变化特征. 中国环境科学, 2017037(007): 2492-2503.

2016

38.Qin Kai, et al., Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based Lidar and CALIPSO satellite. Atmospheric Environment, 2016, 141: 20-29.

39.郎红梅,秦凯*,等. 徐州冬季雾-霾天颗粒物粒径及气溶胶光学特性变化特征. 中国环境科学,201636(8): 2260-2269.

40.Bai Yang, Wu Lixin, Qin Kai, et al., A Geographically and Temporally Weighted Regression Model for Ground-Level PM2.5 Estimation from Satellite-Derived 500 m Resolution AOD. Remote Sensing, 2016, 8(2623).

41.吴立新,吕鑫,秦凯,等. 基于太阳光度计地基观测的徐州气溶胶光学特性变化分析. 科学通报,201620: 2287-2298.

2015

42.胡明玉,秦凯*,等. 2013 12 月石家庄一次霾天气过程中的黑炭浓度特征. 中国环境科学,201535(9): 2585-2593.

2014

43.Qin Kai, et al., Is there an abnormal enhancement of atmospheric aerosol before the 2008 Wenchuan earthquake?. Advances in Space Research, 2014,54(6):1029-1034.

44.Qin Kai, et al., Surface latent heat flux anomalies quasi-synchronous with ionospheric disturbances before the 2007 Pu'er earthquake in China. Advances in Space Research, 2014, 53(2):266-271.

45.Zheng Shuo, Wu Lixin, Qin Kai. Multiple parameters anomalies for verifying the geosystem spheres coupling effect: a case study of the 2010 Ms7.1 Yushu earthquake in China. Annals of Geophysics, 2014, 57 (S04344).

46.吴立新,吕鑫,秦凯,等. 秸秆焚烧期间徐州市空气污染物时空分布特征分析. 地理与地理信息科学,201430(1): 18-22.

47.白杨,秦凯,等. 徐州市区主干道路黑炭气溶胶浓度移动观测实验. 地理与地理信息科学,201430(1): 45-49.

2013

48.Qin Kai, et al., A Deviation-Time-Space-Thermal (DTS-T) Method for Global Earth Observation System of Systems (GEOSS)-Based Earthquake Anomaly Recognition: Criterions and Quantify Indices. Remote Sensing, 2013,5(10):5143-5151.

2012

49.Qin Kai, et al., Preliminary analysis of surface temperature anomalies that preceded the two major Emilia 2012 earthquakes (Italy). Annals of Geophysics, 2012,55(4):823-828.

50.Qin Kai, et al., Quasi-synchronous multi-parameter anomalies associated with the 2010-2011 New Zealand earthquake sequence. Natural Hazards And Earth System Sciences, 2012,12(4):1059-1072.

51.Wu Lixin, Qin Kai, et al., GEOSS-Based Thermal Parameters Analysis for Earthquake Anomaly Recognition. Proceedings of the IEEE, 2012,100:2891-2907.

2011

52.Qin Kai, et al., Surface latent heat flux anomalies before the M-S 7.1 New Zealand earthquake 2010. Chinese Science Bulletin, 2011,56(31):3273-3280.

53.秦凯,等. 2010年新西兰MS7.1级地震地表潜热异常.科学通报, 201156: 28-29

54.秦凯,等. 基于NCEP数据的地震热红外遥感逐像元分析方法. 遥感信,20114: 18-22.

2009

55.Qin Kai, et al., Surface latent heat flux anomalies preceding inland earthquakes in China. Earthquake Science200922(5): 555-562.

2008

56.秦凯,等. 使用NCEP数据分析新疆于田地震前异常增温. 吉林大学学报(地球科学版)200838(6): 1075-1080.

57.杨杰,秦凯. 基于遥感影像的土地利用信息的自动提取与制图. 河南理工大学学报: 自然科学版,200827(6): 666-671.

l  主持在研项目

  国家自然科学基金面上项目“自由对流层气溶胶主被动遥感协同反演方法及应用:以华东为例”

  山西省科技重大专项计划揭榜挂帅项目“面向大气污染治理和碳中和的天空地一体化精准监测技术与装备研发”

l  指导研究生

已指导毕业硕士生14人,指导在读博士生3名、硕士生11名,合作指导在读硕士生2人。因才施教、用心培养,寄望学生青出于蓝而胜于蓝,诚挚欢迎同学报考或交流!

l  获奖与荣誉

  测绘科学技术奖(二等奖,排名第二)

  2021年度《遥感学报》优秀编委

  海洋之神青年学术带头人

  海洋之神十佳青年教职工

  中国大学生GIS软件开发竞赛优秀指导教师奖

l  学术兼职

  国际数字地球学会中国国家委员会数字能源专业委员会秘书长

  国际摄影测量与遥感学会大气环境遥感工作组秘书

  中国自然资源学会资源大数据分会委员

  江苏省遥感与地理信息系统学会常务理事

  Remote SensingEditorial Board Members

  《遥感学报》编委

  《地理与地理信息科学》编委

  《光学学报》“空间、大气、海洋与环境光学”专题刊青年编委

  《煤炭学报》青年编委

  第一、二、三届ISPRS大气环境遥感与协同分析国际会议(2017, 2018, 2019 ISPRS Workshop on Remote Sensing and Synergic Analysis on Atmospheric Environment)秘书长

  25届、26届中国大气环境科学与技术大会“大气污染遥感与应用”分会场召集人

  首届大气环境遥感与协同分析青年论坛秘书长,第二、三届大气环境遥感与协同分析学术论坛主席

 

 

海洋之神优惠大厅