覃文敏，博士，副教授，硕士生导师，中国遥感应用协会生态环境遥感分会理事，国际大气环境遥感学会（AERSS）秘书，中国地理学会会员，2018年武汉大学博士毕业，同年以“地大学者”青年优秀人才引进至中国地质大学(武汉)地理系工作。长期从事气候变化与生态环境遥感研究，在可再生能源领域国际顶尖期刊Renewable and Sustainable Energy Reviews (ESI 1%，IF > 14)、大气科学领域TOP期刊Journal of Climate、气象与气候学权威期刊International Journal of Climatology、生态与环境科学领域权威期刊Science of The Total Environment等国际和国内主流期刊上发表了近四十篇SCI期刊论文和中文核心期刊论文；2018年以来，论文引用次数约570次；担任Renewable and Sustainable Energy Reviews、Energy、Journal of Climate、International Journal of Climatology、Science of The Total Environment等地理、遥感和大气领域国际权威SCI期刊的审稿人；主持和参与了多项国家重点研发计划、国家科技支撑计划和国家自然科学基金项目；培养与联合培养硕士研究生15名、本科生5名，指导博士研究生3名。

研究领域：

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。

科研项目：

主持国家自然科学基金青年项目：自然和人为气溶胶排放对我国太阳光伏发电量的定量影响研究（42001016），课题负责人

主持中国地质大学(武汉)高层次人才科研启动经费：融合多源卫星遥感数据估算中国地表太阳辐射和潜在光伏发电量，课题负责人

主持中央高校基本科研业务费专项资金：基于新一代静止气象卫星的高时空分辨率光合有效辐射反演算法研究，课题负责人

国家重点研发计划项目：自然遗产地生态保护与管理技术，担任技术骨干

国家科技支撑计划项目：新疆文化遗产数字化与旅游综合信息服务技术集成示范，担任技术骨干

国家科技支撑计划项目：全国主体功能区规划遥感地理信息支撑系统关键技术研究子课题，担任技术骨干

国家自然科学基金面上项目：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，担任技术骨干 

国家自然科学基金青年项目：基于未来情景的长江流域洪水灾害风险评估，担任技术骨干

新疆维吾尔自治区重点项目，新疆维吾尔自治区旅游业发展第十三个五年规划纲要，担任技术骨干

主要学术成果：

Qin, W., Lunche Wang., Christian A. Gueymard., Muhammad Bilal., Aiwen Lin., Jing Wei., Ming Zhang., XuefangYang., 2020: Constructing a gridded direct normal irradiance dataset in China during 1981–2014. Renewable and Sustainable Energy Reviews. (中科院一区TOP, IF = 14.98)

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 = 14.98)

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 .(中科院一区TOP, IF = 5.148)

Qin, W., Wang L,. Jing Wei,. et al. A novel efficient broadband model to derive daily surface solar Ultraviolet radiation (0.280-0.400). Science of The Total Environment, 2020.(中科院一区TOP, IF = 7.963)

Qin, W., Fang, H., Wang, L., Wei, J., Zhang, M., Su, X., ... & Liang, X. (2021). MODIS high-resolution MAIAC aerosol product: Global validation and analysis. Atmospheric Environment, 118684.(中科院二区TOP, IF = 4.798)

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 Sensing, 10, 1064. (中科院二区, IF = 4.848)

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 Sensing, 10, 1022. (中科院二区, IF = 4.848)

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. Natural Hazards, 89, 331-349. (JCR二区，IF = 2.427)

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. ENVIRONMENTAL ARCHAEOLOGY, 1-13. (中科院三区，IF = 1.475,T3)

Yang, X., Qin, W^*., Wang, L., Zhang, M., & Niu, Z. (2021). Long-term variations of surface solar radiation in China from routine meteorological observations. Atmospheric Research, 105715. (中科院二区, IF = 5.369)

HongCai., Qin, W^*.,  LuncheWang., BoHu., MingZhang (2021). Hourly clear-sky solar irradiance estimation in China: Model review and validations. Solar Energy, 266(15).  (中科院二区, IF = 5.742, T2)

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 Sensing, 10, 1855. (中科院二区, IF = 4.848)

Fang, H., Qin, W^*. et al. 2021: Solar Brightening/Dimming over China’s Mainland: Effects of Atmospheric Aerosols, Anthropogenic Emissions, and Meteorological Conditions.Remote Sensing. (中科院二区, IF = 4.848)

        Feng, L.; Su, X.; Wang, L.; Jiang, T.; Zhang, M.; Wu, J.; Qin, W.; Chen, Y. Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania. Sci. Total Environ. 2021, 796, 148958.

        Feng, L.; Lin, A.; Wang, L.; Qin, W.; Gong, W. Evaluation of sunshine-based models for predicting diffuse solar radiation in China. Renewable and Sustainable Energy Reviews. 2018, 94, 168-82.

        Qiu, T.; Wang, L.; Lu, Y.; Zhang, M.; Qin, W.; Wang, S.; Wang, L. Potential assessment of photovoltaic power generation in China. Renewable and Sustainable Energy Reviews. 2022, 154, 111900.

        Su, X.; Wang, L.; Zhang, M.; Qin, W.; Bilal, M. A high-precision aerosol retrieval algorithm (HiPARA) for advanced himawari imager (AHI) data: Development and verification. Remote Sens. Environ. 2021, 253, 112221.

        Li, H.; Zhang, M.; Wang, L.; Ma, Y.; Qin, W.; Gong, W. The effect of aerosol on downward diffuse radiation during winter haze in Wuhan, China. Atmos. Environ. 2021, 265, 118714.

        Liu, Y.; He, L.; Qin, W.; Lin, A.; Yang, Y. The Effect of Urban Form on PM2. 5 Concentration: Evidence from China’s 340 Prefecture-Level Cities. Remote Sens.-Basel. 2021, 14, 7.

        Lu, Y.; Wang, L.; Hu, B.; Zhang, M.; Qin, W.; Zhou, J.; Tao, M. Evaluation of satellite land surface albedo products over China using ground-measurements. Int. J. Digit. Earth. 2021, 14, 1493-513.

        Niu, Z.; Wang, L.; Niu, Y.; Hu, B.; Zhang, M.; Qin, W. Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016. Theor. Appl. Climatol. 2019, 137, 2049-67.

        Wang, F.; Yang, Z.; Luan, F.; Xiong, H.; Shi, H.; Wang, Z.; Zhao, X.; Qin, W.; Wu, W.; Li, D. Spatiotemporal characteristics of cultural sites and their driving forces in the Ili River Valley during historical periods. J. Geogr. Sci. 2015, 25, 1089-108.

        Wang, L.; Lu, Y.; Zou, L.; Feng, L.; Wei, J.; Qin, W.; Niu, Z. Prediction of diffuse solar radiation based on multiple variables in China. Renewable and Sustainable Energy Reviews. 2019, 103, 151-216.

        Wang, L.; Zhu, H.; Lin, A.; Zou, L.; Qin, W.; Du, Q. Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data. Remote Sens.-Basel. 2017, 9, 418.

        Wang, Z.; Zhang, M.; Wang, L.; Feng, L.; Ma, Y.; Gong, W.; Qin, W. Long-term evolution of clear sky surface solar radiation and its driving factors over East Asia. Atmos. Environ. 2021, 262, 118661.

        Wang, Z.; Zhang, M.; Wang, L.; Qin, W. A comprehensive research on the global all-sky surface solar radiation and its driving factors during 1980–2019. Atmos. Res. 2022, 265, 105870.

        Wang, Z.; Zhang, M.; Wang, L.; Qin, W.; Ma, Y.; Gong, W.; Yu, L. Investigating the all-sky surface solar radiation and its influencing factors in the Yangtze River Basin in recent four decades. Atmos. Environ. 2021, 244, 117888.

        Wei, J.; Li, Z.; Sun, L.; Peng, Y.; Liu, L.; He, L.; Qin, W.; Cribb, M. MODIS Collection 6.1 3 km resolution aerosol optical depth product: Global evaluation and uncertainty analysis. Atmos. Environ. 2020, 240, 117768.

        Wu, W.; Zhang, X.; Yang, Z.; Qin, W.; Wang, F.; Wang, C. Ecotourism Suitability and Zoning from the Tourist Perspective: a Nature Reserve Case Study. Pol. J. Environ. Stud. 2015, 24.

        Yu, L.; Zhang, M.; Wang, L.; Qin, W.; Li, J. Aerosol radiative effects from observations and modelling over the Yangtze River Basin, China from 2001 to 2015. Int. J. Climatol. 2019, 39, 3476-91.

        Yu, L.; Zhang, M.; Wang, L.; Qin, W.; Lu, Y.; Li, J. Clear-sky solar radiation changes over arid and semi-arid areas in China and their determining factors during 2001–2015. Atmos. Environ. 2020, 223, 117198.

        Zhou, Z.; Lin, A.; Wang, L.; Qin, W.; Zhao, L.; Sun, S.; Zhong, Y.; He, L.; Chen, F. Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China. Sci. Total Environ. 2021, 784, 147214.

        Zhou, Z.; Lin, A.; Wang, L.; Qin, W.; Zhong, Y.; He, L. Trends in downward surface shortwave radiation from multi‐source data over China during 1984–2015. Int. J. Climatol. 2020, 40, 3467-85.

        Zhou, Z.; Zhao, L.; Lin, A.; Qin, W.; Lu, Y.; Li, J.; Zhong, Y.; He, L. Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China. Arab. J. Geosci. 2020, 13, 1-20.

        Chen, F.; Zhou, Z.; Lin, A.; Niu, J.; Qin, W.; Yang, Z. Evaluation of direct horizontal irradiance in China using a physically-based model and machine learning methods. Energies. 2019, 12, 150.

        XIA, L.; LIN, A.; QIN, W.; ZHOU, Z.; CHEN, F. Spatio-temporal Characteristics of Solar Radiation and Its Driving Factors in Hubei Province During 1980—2013. Geomatics & Spatial Information Technology. 2019.  

招生专业：

       学硕：地理环境遥感，地理科学、地理信息科学、遥感科学与技术、测绘工程、大气科学等

   专硕：资源与环境，不限专业方向

学术关键词：

[1]  云-气溶胶-辐射相互作用

[2]  地表太阳辐射参数化反演

[3]  气候变化对新能源开发与利用的定量影响

[4]  数值天气预报产品在新能源功率预测中的释用

研究方向与业绩：

[1]    适应国家“碳中和”和“碳达峰”战略背景，从新能源功率预测技术发展趋势及其实用化需求出发，建立可解释性较强的大范围、长时序和高分辨率的太阳光伏发电量数值模拟方法，分析我国太阳光伏发电量的时空变化与人为气溶胶排放之间的关系，并阐明不同类型自然和人为气溶胶颗粒物质量浓度的动态变化对我国各地区太阳光伏发电量的影响。

[2]    利用长期自主观测数据设计了一套高精度、全天时、全天候的地表太阳辐射组分数值重建方案，构建了我国1961-2019年间光合有效辐射、紫外辐射、总辐射、直接辐射和散射辐射等辐射组分逐小时、逐日和逐月数据集，初步揭示了我国地表太阳辐射组分的时空变化特征及其驱动机制，为大气辐射和地表过程研究提供了数据基础。

[3]    结合人工智能模型和优化算法，构建了高精度和高分辨率的气溶胶光学厚度和气溶胶辐射强迫效应估算模型，并定量分析了近四十年来我国气溶胶特性变化及其自然/人文驱动因素，为精确探究气溶胶辐射效应及地表过程响应提供了技术支撑。

[4]    利用多源天地一体化观测数据，分析近二十年来天山世界自然遗产地生态系统碳循环通量与气溶胶辐射效应的时空变化与相互联系，观测与模拟水平和不同垂直自然带上气溶胶辐射效应对天山世界自然遗产地生态系统碳循环通量的定量影响与作用机制。

主讲课程：

本科生课程：《大气科学概论》、《全球变化》、《人文地理学》、《人口地理学》

研究生课程：《地理学研究前沿与进展》、《现代气候学》

本科生实习《周口店地质认识实习》

本科生实习《秭归地理综合实习》

科研团队：生态环境遥感与分析研究中心

联系方式：

Researchgate主 页：https://www.researchgate.net/profile/Wenmin_Qin

Google scholar主 页：https://scholar.google.com/citations?user=lCdoWBIAAAAJ&hl=zh-CN

Figshare 主页：https://figshare.com/authors/wenmin_qin/7373837

 热烈欢迎具有地理学、地理信息科学、遥感科学与技术、测绘工程、大气科学、计算机科学与技术等背景的同学报考或交流学习!