姓名:周伟奇
职称:研究员
学历:博士研究生
电话:010-62849268
电子邮件:wzhou@rcees.ac.cn
个人简介
周伟奇,男,博士,国家优秀青年基金获得者。现任中国科学院生态环境研究中心研究员(“百人计划”入选者)、博士生导师,城市与区域生态国家重点实验室副主任,国际城市生态学会中国分会副理事长,中国生态学学会副秘书长,国际景观生态学会中国分会副秘书长。主要从事城市生态格局表征与量化、城市化的生态环境效应、城市生态空间格局优化与管理等方面的研究。已发表SCI论文50余篇,其中第一/通讯作者论文30余篇。担任Landscape Ecology、Landscape and Urban Planning、Journal of Urban Ecology和Ecosystem Health and Sustainability杂志编委。
教育背景
2007,自然资源专业博士,美国佛蒙特大学;
2004,地图学与地理信息系统硕士,中国科学院遥感应用研究所;
2001,环境科学学士,北京大学;
2001,计算机科学辅修,北京大学;
工作经历
2016年,中国科学院生态环境研究中心城市与区域生态国家重点实验室,副主任;
2011年,中国科学院生态环境研究中心“百人计划”,研究员;
2008-2011年,美国加州大学戴维斯分校,博士后;
2007-2008年,美国佛蒙特大学,博士后。
承担科研项目情况
1.国家自然科学基金“优秀青年科学基金”项目,2015.01-2017.12,100万,在研,主持。
2.国家自然科学基金面上项目,41371197,基于高分辨率遥感的城市景观格局演变及其热岛效应研究,2013.01-2017.12,75万,在研,主持。
3.科技部国家重点研发计划项目课题,生态系统评价与生态监管技术与示范,2016.07-2020.12,416万,在研,主持。
4.中国科学院前沿科学重点研究项目,城市与区域的生态关联和相互作用机制研究,2016.07-2020.12,250万,在研,主持。
5.中国科学院引进国外杰出人才(百人计划)项目,2013.01-2016.12,200万,在研,主持。
6.“全国生态环境十年(2000-2010年)变化遥感调查与评估”重大专项专题项目,“城市化区域生态环境十年变化调查与评估”, 2011.12-2014.06,1100万,结题,主持。
7.中科院生态环境研究中心“一三五”重点培育方向项目,城市生态系统格局、过程与调控,2013.07-2015.06,150万,结题,主持。
8.国家科技支撑计划“城市绿色发展生态技术研究与示范”项目,子课题“城市热环境调控技术集成及示范”,2012.01-2015.12,121.8万,在研,主持。
9.“全国生态环境十年(2000-2010年)变化遥感调查与评估”项目,课题“京津唐城市群生态环境状况及十年变化遥感调查与评估”, 2011.12-2014.06,结题,主持。
10.北京市生态环境变化(2000-2010年)以及对大气、水环境影响的调查与评估项目,北京市生态环境调查成果集成项目,2013.02-2013.12,73.45万,结题,主持。
学术任职
中国生态学学会副秘书长,2013年;
国际景观生态学会中国分会副秘书长,2013年;
国际城市生态学会中国分会副理事长,2015年;
《Landscape and Urban Planning》编委,2013年;
《Landscape Ecology》编委,2014年;
《Ecosystem Health and Sustainability》编委,2014年;
《Journal of Urban Ecology》编委,2017年。
代表性SCI论文(*为通讯作者)
1.Zhou W, J Wang, ML Cadenasso. 2017. Effects of the spatial configuration of trees on urban heat mitigation: A comparative study. Remote Sensing of Environment. 195, 1-12.
2.Zhou W, STA Pickett, ML Cadenasso. 2017. Shifting concepts of urban spatial heterogeneity and their implications for sustainability. Landscape Ecology. 32 (1), 15-30.
3.Yu W., W Zhou*, Y Qian, J Yan. 2016. A new approach for land cover classification and change analysis: Integrating backdating and an object-based method. Remote Sensing of Environment 177, 37-47.
4.L Han, W Zhou*, W Li. 2016. Fine particulate (PM2.5) dynamics during rapid urbanization in Beijing, 1973–2013. Scientific reports 6.
5.X Chen, W Zhou*, STA Pickett, W Li, L Han. 2016. Spatial-Temporal Variations of Water Quality and Its Relationship to Land Use and Land Cover in Beijing, China. International journal of environmental research and public health 13 (5), 449.
6.Yan J., L Lin, W Zhou*, K Ma, STA Pickett. 2016. A novel approach for quantifying particulate matter distribution on leaf surface by combining SEM and object-based image analysis. Remote Sensing of Environment 173, 156-161.
7.Yan J., L Lin, W Zhou*, L Han, K Ma. 2016. Quantifying the characteristics of particulate matters captured by urban plants using an automatic approach. Journal of Environmental Sciences. 39, 259–267.
8.Han L., W Zhou*, STA Pickett, W Li, L Li. 2016. An optimum city sizes? The scaling relationship for urban population and fine particulate (PM 2.5) concentration. Environmental Pollution 208, 96-101.
9.Chen, X., W. Zhou*, S. T. Pickett, W. Li, L. Han and Y. Ren. 2016. "Diatoms are better indicators of urban stream conditions: A case study in Beijing, China." Ecological Indicators 60: 265-274.
10.Pickett STA, W Zhou. 2015. Global urbanization as a shifting context for applying ecological science toward the sustainable city. Ecosystem Health and Sustainability 1 (1), 1-15.
11.Han L, W Zhou*, W Li. 2015. Increasing impact of urban fine particles (PM2. 5) on areas surrounding Chinese cities. Scientific reports. 5. 12467.
12.Han L, W Zhou*, W Li. 2015. City as a major source area of fine particulate (PM 2.5) in China. Environmental Pollution. 206, 183-187.
13.Han L, W Zhou*, W Li, DT Meshesha, L Li, M Zheng. 2015. Meteorological and urban landscape factors on severe air pollution in Beijing. Journal of the Air & Waste Management Association. 65(7): 782-787.
14.Qian, Y., W. Zhou*, W. Yu and S. A. Pickett. 2015. "Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data." 30(7): Landscape Ecology: 1165-1173.
15.Han L., W. Zhou*, S.T.A. Pickett, W. Li, and L. Li. 2015. An optimum city sizes? The scaling relationship for urban population and fine particulate (PM2.5) concentration. Environmental Pollution, 10. 1016.j. envpol.2015.08.039.
16.Qian, Y., W. Zhou*, W. Li and L. Han. 2015. "Understanding the dynamic of greenspace in the urbanized area of Beijing based on high resolution satellite images." Urban Forestry & Urban Greening 14(1): 39-47.
17.Qian, Y., W. Zhou*, J. Yan, W. Li and L. Han. 2015. "Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High-Resolution Imagery." Remote Sensing 7(1): 153-168.
18.Zhou W., M.L. Cadenasso, K. Schwarz, S.T.A. Pickett. 2014. Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification. Remote sensing, 6, 3369-3386.
19.Zhou W., Y. Qian, X. Li, W. Li, L. Han. 2014. Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures. Landscape Ecology. 29(1), 153-167.
20.Han L., Zhou W*., Li W., and Li L. 2014. Impact of urbanization level on urban air quality: A case of fine particles (PM2.5) in Chinese cities. Environmental Pollution, 194, 163-170.
21.Zhou W. 2013. An Object-Based Approach for Urban Land Cover Classification: Integrating LiDAR Height and Intensity Data. IEEE Geoscience and Remote Sensing Letter, 10(4):928-931.
22.Zhou, W., G. Huang, and M. L. Cadenasso. 2011. Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes. Landscape and Urban Planning. 102(1): 54-63.