覃文敏

基本信息Personal Information

副教授 硕士生导师

主要任职 : 陆地表层模拟与生态遥感研究中心副主任

曾获荣誉 : 武汉大学学术创新奖

性别 : 男

出生年月 : 1989年10月05日

毕业院校 : 武汉大学

学历 : 博士研究生毕业

学位 : 理学博士学位

在职信息 : 在职

所在单位 : 地理与信息工程学院

入职时间 : 2018年08月01日

学科 : 地理科学

联系方式 : qinwenmin@cug.edu.cn

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个人简介Personal Profile

覃文敏,湖北恩施人。2018年武汉大学博士毕业,2018年以地大学者青年优秀人才引进至中国地质大学(武汉)地理科学系工作。长期从事气候变化与生态环境研究,已主持或参与多项国家自然科学基金和国家科技支撑计划。在国际顶级期刊Renewable and sustainable energy reviews  Journal of climate上发表了多篇SCI期刊论文,并担任Renewable and sustainable energy reviewsRemote SensingEnergyInternational journal of climatology等地理、遥感和大气领域国际权威SCI期刊的审稿人。

研究兴趣:

协同多源卫星遥感观测数据和气象观测数据,重点研究:(1)云光学属性和气溶胶特性估算;(2)高分辨率地表太阳辐射参数化反演方案;(3)大气辐射-地表过程之间的交互作用;(4)理解全球变化背景下自然和人文因素驱动的区域地表系统变化过程、格局及其驱动机制。

招收研究生方向:

地理学、人文地理学和自然地理学。热烈欢迎具有自然地理学、人文地理学、地理信息科学和遥感科学与技术等背景的同学报考或交流学习。

研究成果:

发表了18SCI期刊论文和两篇中文核心期刊论文,其中ESI热点、高被引期刊5篇。

    [1]    Qin, W., Wang, L., Lin, A., Zhang, M., Xia, X., Hu, B. and Niu, Z., 2018: Comparison of deterministic and data-driven models for solar radiation estimation in China. Renewable and Sustainable Energy Reviews, 81, 579-594. (中科院一区TOP, IF = 10.556, ESI高被引期刊)

    [2]    Qin, W., Wang L,. Zhang M,. et al. First effort for constructing a high density photosynthetically active radiation dataset during 1961-2014 in China. Journal of Climate, 2019 (2019).(中科院一区TOP, IF = 4.805,气象与气候学权威期刊)

    [3]    Qin, W., Liu, Y., Wang, L., Lin, A., Xia, X., Che, H., Bilal, M. and Zhang, M., 2018: Characteristic and driving factors of aerosol optical depth over mainland China during 1980–2017. Remote Sens-Basel, 10, 1064. (中科院二区, IF = 4.14

    [4]    Qin, W., Wang, L., Lin, A., Zhang, M. and Bilal, M., 2018: Improving the estimation of daily aerosol optical depth and aerosol Radiative effect using an optimized artificial neural network. Remote Sens-Basel, 10, 1022. (中科院二区, IF = 4.14

    [5]    Qin, W., Lin, A., Fang, J., Wang, L. and Li, M., 2017: Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China. Nat. Hazards, 89, 331-349. IF = 2.319

    [6]    Qin, W., Wang, L., Lin, A., Yang, C. and Zhu, H., 2018: Spatial-Temporal Evolution of the Distribution Pattern of Neolithic Sites in Han River Basin, China. Environ. Archaeol., 1-13.

    [7]    Qin, W., Wang, L., Zhang, M., Feng, L., Fang, H., Cai, H., Zhong, Y., Zhu, Q., and Yang, C.: A high-quality hourly, daily and monthly solar irradiance dataset in China during 1981–2014 based on MERRA-2 Reanalysis products, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-204, in review, 2019.

    [8]    Feng, L., Qin, W., Wang, L., Lin, A. and Zhang, M., 2018: Comparison of Artificial Intelligence and Physical Models for Forecasting Photosynthetically-Active Radiation. Remote Sens-Basel, 10, 1855. (中科院二区, IF = 4.14

    [9]    Feng, L., Lin, A., Wang, L., Qin, W. and Gong, W., 2018: Evaluation of sunshine-based models for predicting diffuse solar radiation in China. Renewable and Sustainable Energy Reviews, 94, 168-182. (中科院一区TOP, IF = 10.556, ESI高被引期刊)

    [10]    Lan Yu, Ming Zhang, Lunche Wang*, Wenmin Qin, Junli Li. 2019. Aerosol radiative effects from observations and modeling over the Yangtze River Basin, China from 2001 to 2015. International Journal of Climatology  (中科院二区, IF =3.601)

    [11]    Wang, L., Lu, Y., Zou, L., Feng, L., Wei, J., Qin, W. and Niu, Z., 2019: Prediction of diffuse solar radiation based on multiple variables in China. Renewable and Sustainable Energy Reviews, 103, 151-216. (中科院一区TOP, IF = 10.556, ESI高被引期刊)

    [12]    Wang, L., Zhu, H., Lin, A., Ling, Z., Qin, W. and Du, Q., 2017: Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data. Remote Sens-Basel, 9, 418. (中科院二区, IF = 4.14

    [13]    Chen, F., Zhou, Z., Lin, A., Niu, J., Qin, W. and Yang, Z., 2019: Evaluation of Direct Horizontal Irradiance in China Using a Physically-Based Model and Machine Learning Methods. Energies, 12, 150.

    [14]    Lin, L., Lei, T., Zhu, H., Hang, Z., Fan, Y. and Qin, W., 2017: Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage. Isprs Int J. Geo-Inf, 6, 132.

    [15]    Niu, Z., Wang, L., Niu, Y., Hu, B., Zhang, M., & Qin, W. (2019). Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016. Theoretical and Applied Climatology, 137(3-4), 2049-2067.

    [16]    Zhang, W., Wang, L., Xiang, F., Qin, W., & Jiang, W. (2020). Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China. Ecological Indicators, 110, 105892.

    [17]    Zhou, Z., Lin, A., Wang, L., Qin, W., & He, L. Trends in downward surface shortwave radiation from Multi‐source data over China during 1984‐2015. International Journal of Climatology.

    [18]    Lan Yu, Ming Zhang, Lunche Wang, Wenmin Qin, Yunbo Lu, Junli Li. Clear-sky solar radiation changes over arid and semi-arid areas in China and their determining factors during 2001–2015,Atmospheric Environment,2019,117198,ISSN 1352-2310.

    [19]    覃文敏, 张小雷, 杨兆萍, 刘群, 刘华先, 2015: 基于路阻函数的旅游交通可达性研究——以新疆3A级及以上级别景区为例. 干旱区研究, 32, 361-367. (中国双核心期刊)

    [20]    刘莹,林爱文,覃文敏,何利杰,李霄,20191990~2017年中国地区气溶胶光学厚度的时空分布及其主要影响类型.环境科学.(中国双核心期刊)

    [21]    夏丽,林爱文,覃文敏,周志高,陈飞燕.1980—2013年湖北省地表太阳辐射时空特征及其驱动因子分析[J]     .测绘与空间地理信息,2019,42(04):29-33+37.

主持或参与基金项目

    中国区域光合有效辐射气候学特征及其历史数据重建方法研究,国家自然科学基金项目

    新疆文化遗产数字化与旅游综合信息服务技术集成示范,国家科技支撑计划

    基于未来情景的长江流域洪水灾害风险评估,国家自然科学基金项目

    中国地质大学(武汉)高层次人才科研启动经费

    中国地质大学(武汉)杰出人才培育基金

    环境规制与中国式产能过剩的防治:基于空间经济理论与实证方法的研究,国家自然科学基金项目

    气候变化对长江流域洪水灾害影响研究,中央高校基本科研业务费专项资金

    农业干旱和水文干旱对气象干旱的预警响应模拟研究,国家自然科学基金项目

 


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