个人简历

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 > 10)、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三十篇SCI期刊论文和中文核心期刊论文；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10名、本科生5名，指导博士研究生2名。

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

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
研究业绩：
[1] 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。
[2] 发展了一套快速、高精度和普适性较强的宽波段紫外辐射量估算模型(FASTUV)，大幅提高了紫外辐射量的估算效率，满足大范围、长时序和高分辨率的紫外辐射量反演。
[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。
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》
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!

教育经历 Education Background
2015.9 2018.6 武汉大学地理科学博士研究生理学博士学位

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。""

近期论文

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, 实时IF = 14.48)
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, 实时IF = 14.48)
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 = 5.707)
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 = 6.551)
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 = 4.509)
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 = 4.509)
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 = 4.676)
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 = 4.509)
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 = 4.509)
Su, X., Wang, L., Zhang, M., Qin, W., et,al. 2021. A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification.Remote Sensing of Environment. (中科院一区TOP, IF = 9.085)
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, 实时IF = 14.48, ESI高被引期刊)
Zhou, Z., Lin, A., Wang, L., Qin, W., Zhao, L., Sun, S., ... & Chen, F. (2021). Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China. Science of The Total Environment, 784, 147214. (中科院一区TOP, IF = 6.551)
Ziyan Wang, Ming Zhang, Lunche Wang, Wenmin Qin, Yingying Ma, Wei Gong, Lan Yu. Investigating the all-sky surface solar radiation and its influencing factors in the Yangtze River Basin in recent four decades. Atmospheric Environment 2020: 117888. (中科院二区TOP, IF =3.928)
Jing Wei, Zhanqing Li, ... Wenmin Qin, Maureen Cribb. MODIS collection 6.1 3 km resolution aerosol optical depth product: Global evaluation and uncertainty analysis. Atmospheric Environment 2020: 117768. (中科院二区TOP, IF =3.928)
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 =3.928)
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, 实时IF = 14.48)
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 Sensing, 9, 418.(中科院二区, IF = 4.509)
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. (T2, IF = 2.702)
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.
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. (中科院三区, IF = 2.882)
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. (中科院二区, IF = 4.229)
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. (中科院二区, IF =3.928)
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. (中科院二区TOP, IF = 4.039)