收藏本站  |  联系我们  |  English  |  中国科学院  
 首  页  实验室概况 研究队伍 科研资源 开放交流 科研成果 研究生园地
 
当前位置:首页 > 研究组介绍 > 城市生态系统过程与管理 > 城市生态格局与模拟研究组
周伟奇

姓名

周伟奇

性别

职称

研究员

实验室职务

副主任

电话

0086-10-62849268

传真

010-62915372

电子邮件

wzhou@rcees.ac.cn

专业

城市生态

地址

北京市海淀区双清路18

简要介绍

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、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。主要从事城市生态系统格局特征与动态变化,及其生态环境效应研究。主要应用遥感、地理信息系统与空间统计模型分析等技术方法,结合地面调查,研究:1)城市生态系统结构和格局定量化的理论、方法和技术;2)城市生态系统结构和格局动态的驱动机制;3)城市生态系统结构和格局与典型过程和功能的定量关系。20042011年,在国际上最有代表性的城市生态研究项目"巴尔迪摩城市生态系统研究"做研究工作。发表SCI收录论文50余篇。

学习经历

博士: 自然资源,美国佛蒙特大学(University of Vermont),2004 2007

硕士: 地图学与地理信息系统,中科院遥感所,20012004

学士: 环境科学,北京大学,19972001 (辅修计算机科学)

工作经历

20119月至今,中国科学院生态环境研究中心研究员

20086月-20118月,加州大学戴维斯分校博士后

20076月-20085月,佛蒙特大学博士后

研究方向

主要从事城市生态系统格局特征与动态变化,及其生态环境效应研究

承担课题

1.中国科学院A类先导项目课题,粤港澳大湾区城市群生态系统辩识与物联网监管技术装备及示范,2019/1-2023/121782.57万,在研,主持。

2.国家自然科学基金面上项目,41771203,斑块面积对林地降温效率影响的能量平衡机理研究,2018/01-2021/1265万,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,2016/07-2020/12416万,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,2016/07-2020/12250万,在研,主持。

5.国家自然科学基金“优秀青年科学基金”项目,2015/01-2017/12100万,结题,主持。

6.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,2013/01-2017/1275万,结题,主持。

7.中国科学院项目,2013/01-2016/12200万,结题,主持。

8.“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”, 2011/12-2014/061100万,结题,主持。

9.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,2013/07-2015/06150万,结题,主持。

10.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”,2012/01-2015/12121.8万,结题,主持。

11.深圳市人居环境委员会项目:深圳市陆域生态调查评估项目,2017/07-2018/06470万元,主要参与,负责其中生态系统格局调查评估部分。

12.“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。

13.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,2013/02-2013/1273.45万,结题,主持。

重要著作与成果

1.        Zhou, W., Pickett, STA, Cadenasso, ML. 2016. Shifting concepts of urban spatial heterogeneity and their implications for sustainability. Landscape Ecology.doi:10.1007/s10980-016-0432-4.

2.        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.

3.        Pickett STA, ML Cadenasso, DL Childers, MJ McDonnell, W Zhou. 2016. Evolution and future of urban ecological science: ecology in, of, and for the city. Ecosystem Health and Sustainability 2 (7).

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 size? 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 size? 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.     L Han, A Tsunekawa, M Tsubo, W Zhou*. 2013. An enhanced dust index for Asian dust detection with MODIS images. International Journal of Remote Sensing. 34 (19), 6484-6495.

23.     Li, X., W. Zhou, Z. Ouyang, 2013. Forty years of urban expansion in Beijing: What is the relative   importance of physical, socioeconomic, and neighborhood factors? Applied Geography, 38, 1-10.

24.     Li, X., W. Zhou, Z. Ouyang, 2013. Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution? Landscape and Urban Planning. 114: 1-8.

25.     Zhou, W., and M. L. Cadenasso. 2012. Effects of patch characteristics and within patch heterogeneity on the accuracy of urban land cover estimates from visual interpretation. Landscape Ecology. 27(9): 1291-1305.

26.     Li, X., W. Zhou, Z. Ouyang, W. Xue, and H. Zheng. 2012. Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area, China. Landscape Ecology, 27: 887-898.

27.     Wang, H., W. Zhou, X. Wang, F. Gao, H. Zheng, L. Tong, and Z. Ouyang. 2012. Ozone uptake by adult urban trees based on sap flow measurement. Environmental Pollution. 162: 275-286.

28.     Wang, L., Y. Zhou, W. Zhou, and S. Wang. 2012. Fire danger assessment with remote sensing: a case study in Northern China. Natural Hazards. 65 (1): 819-834.

29.     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.

30.     Zhou, W., G. Huang, STA. Pickett, and M. L. Cadenasso. 2011. 90 years of forest cover change in an urbanizing watershed: spatial and temporal dynamics. Landscape Ecology. 26: 645-659.

31.     Huang, G., W. Zhou, and S. Ali. 2011. Spatial patterns of mining and tourism in biodiversity hotspots: A case study in China. Ecological Economics. 70(8): 1492-1498.

32.     Huang, G., W. Zhou and M. L. Cadenasso. 2011. Is everyone hot is the city? Spatial pattern of land surface temperatures, land cover and neighborhood socioeconomic characteristics in Baltimore City, MD. Journal of Environmental Management. 92(7):1753-1759.

33.     Tenenbaum D.E., Y. Yang and W. Zhou. 2011. A Comparison of Object-oriented Image Classification and Transect Sampling Methods for Obtaining Land Cover Information from Digital Orthophotography. GIScience and Remote Sensing. 48(1): 112-129.

34.     Li, W., Z. Ouyang, W. Zhou et al.  2011. Effects of spatial resolution of remotely sensed data on estimating urban impervious surfaces. Journal of Environmental Sciences, DOI: 10.1016/S1001-0742(10)60541-4.

35.     C Zhuang, Z Ouyang, W Xu, Y Bai, W Zhou, H Zheng, X Wang. 2011. Impacts of human activities on the hydrology of Baiyangdian Lake, China. Environmental Earth Sciences. 62 (7), 1343-1350.

36.     Zhou, W., K. Schwarz and M. L. Cadenasso. 2010. Mapping Urban Landscape Heterogeneity Agreement between Visual Interpretation and Digital Classification Approaches. Landscape Ecology. 25(1): 53-67.

37.     Smith, M., W. Zhou, M. Cadenasso, J. Grove, and L. Band. 2010.  Evaluation of the NLCD for hydrologic applications in urban and suburban Baltimore, Maryland. Journal of the American Water Resources Association. 46(2): 429-442.

38.     Zhao, J. Z. Ouyang, H. Zheng, W. Zhou, X. Wang, W. Xu and Y. Ni. 2010. Plant species composition in green spaces within the built-up areas of Beijing, China. Plant Ecology. 209(2): 189-204.

39.     Zhou, W. and A. Troy. 2009. Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems. International Journal of Remote Sensing. 30(23): 6343-6360.

40.     Zhou, W., A. Troy, M. Grove and J. Jenkins, 2009, Can Money Buy Green? Demographic and Socioeconomic Predictors of Lawncare Expenditures and Lawn Greenness in Urban Residential Areas. Society and Natural Resources. 22(8): 744 -760.

41.     Zhou, W., G. Huang, A. Troy, and M. Cadenasso. 2009. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: a comparison study. Remote Sensing of Environment, 113(8): 1769-1777.

42.     Zhou, W. and A. Troy, 2008. An Object-oriented Approach for Analyzing and Characterizing Urban Landscape at the Parcel Level. International Journal of Remote Sensing. 29 (11): 3119-3135.

43.     Zhou, W., A. Troy, and J.M Grove, 2008. Object-based land cover classification and change analysis in the Baltimore Metropolitan Area using multi-temporal high resolution remote sensing data. Sensors. 8: 1613-1636.

44.     Zhou, W., A. Troy, and M. Grove, 2008. Modeling household lawn fertilization practices: Integrating high-resolution remote sensing and socioeconomic data. Environmental Management. 41(5):742-752.

45.    Zhou, W., S. Wang, Y. Zhou, and A. Troy. 2006. Mapping the concentrations of total suspended matter in Lake Taihu, China, using Landsat-5 TM data. International Journal of Remote Sensing. 27(6): 1177-1191.  

 
【打印本页】【关闭本页】
  版权所有 © 城市与区域生态国家重点实验室 京ICP备05002858号
地址:北京市海淀区双清路18号 邮编:100085  联系电话:010-62941033