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  • Home
  • About Us
    • Brief Introduction
    • Address from the Director
    • Directors
    • Organization
    • IUE in Media
  • Scientists
    • Academicians
    • Professors
    • Associate Professors
  • Research
    • Research Divisions
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Scientists

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  • HomeScientists Associate Professors
  • Associate Professors
    WANG Haowei/ Ph.D
    • Address:1799 Jimei Road, Xiamen
    • Zip Code:361021
    • Phone:+86-592-6190694
    • Email:hwwang@iue.ac.cn
    Education and Appointments

      Haowei Wang, male, PhD, associate professor. Since July 2012, I commenced work in the Institute of Urban Environment, Chinese Academy of sciences. The projects I ever charged or participated contains all levels of the following: 

      National Natural Science Foundation, the knowledge innovation project of CAS, "863" project and sub project from Ministry of science and technology, program supported by National Science and technology, Xiamen science and technology plan, special projects of major program in Yunnan province . 

      In recent years, I have gotten 2 National patents and published more than 10 articles. 

    Research Interest

    GIS spatial analysis, urban geography, environment information etc.

    Selected Publications

    1.Zheng Y, Shao G, Tang L, He Y, Wang X, Wang Y, Wang H. Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China[J]. Remote Sensing, 2019, 11, 1709. (SCI) 

    2.Zheng Y, Zhou Q, He Y, Wang C, Wang X, Wang H. An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI[J]. Remote Sensing, 2021, 13, 766. (SCI) 

    3.郑渊茂, 王业宁, 周强, 王豪伟. 基于景感生态学的生态环境物联网框架构建[J]. 生态学报, 2020, 40(22): 8093-8102. (CSCD) 

    4.郑渊茂, 王翠平, 王豪伟, 黎昕媛. 厦门市地面沉降的影响分析与风险评价研究[J]. 生态学报, 2021, 41(1): 388-400. (CSCD) 

    5.Zhou Q, Zheng Y, Shao J, Lin Y, Wang H. An Improved Method of Determining Human Population Distribution Based on Luojia 1-01 Nighttime Light Imagery and Road Network Data—A Case Study of the City of Shenzhen[J]. Sensors, 2020, 20, 5032. (SCI)  

    6.王翠平, 王豪伟, 郑渊茂. 城市建筑群三维空间布局评价与优化——以厦门岛滨海地带为例[J]. 生态学报, 2020, 40(22): 8119-8129. (CSCD) 

    7.Wang Y, Jiang Y, Zheng Y, Wang H. Assessing the Ecological Carrying Capacity Based on Revised Three-Dimensional Ecological Footprint Model in Inner Mongolia, China[J]. Sustainability, 2019, 11(7): 2002. (SCI) 

    8.Wang Y, Zhou Q, Wang H. Assessing the Ecological Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Three-Dimensional Ecological Footprint Model. Sustainability, 2020, 12:9705. (SCI) 

    Supported Projects

    1.National Natural Science Foundation:Optimization research for 3D spatial layout of Xiamen coastal buildings (41571148) 

    2.Xiamen science and technology plan: comparative analysis with technical integration for IoT construction in cross-strait region (Y3G0351D10) 

    3.Sub-project from program supported by National Science and technology: Integration of IntelliSense technology and construction of network platform for waste flow (2012BAC17B0103) 

    4.Key project from Land and Resources Department of Yunnan province: Risk assessment of geological disaster in comprehensive development and utilization of low slope hilly land, train station area, ERON County of Lijiang City (Y4H0321G10) 

    5.development program of national high technology research (863 Program): System construction of risk-level dynamic update on three level of national, province, and city-county.  

    About Us

    • Brief Introduction
    • Address from the Director
    • Directors
    • Organization
    • IUE in Media

    Scientists

    • Academicians
    • Professors
    • Associate Professors

    Research

    • Research Divisions
    • Research Progress

    Education

    • Admission
    • Study at IUE
    • Scholarships

    INT'L Cooperation

    • INT'L Cooperation News
    • Partnership

    Papers

    Join Us

    • Job Opportunities
    • PIFI
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    1799 Jimei Road, Xiamen 361021 China.+86-592-6190973.