副教授 Geographical Sciences

副教授

陈思

作者:发布时间:2024-02-29点击率:


 

 




姓名: 陈思

 

职称、职务: 副教授

电子邮箱:kathryncs123@hotmail.com

通信地址:武汉市武昌区友谊大道368号威廉希尔官方网站

联系电话:027-88661699-8077

主要研究方向:人类活动与自然灾害的相互作用与调控

气候变化与灾害监测和预警

教育背景

20122018  Hanyang University 水资源与环境工程 工学博士

20082012  武汉科技大学 给水排水工程 工学学士

工作经历

2018.05—至今 威廉希尔官方网站,讲师、副教授

教学课程

计量地理学(双语)

规划制图

主要社会兼职

荣誉和获奖情况

湖北省省级人才(2021

英国威廉希尔体育公司优秀育人工作者(2018

在韩中国国家公派留学人员学术创新奖(2016

代表作(*通讯作者)

  1. S. Chen, J. Zhao, S. Lee, and S. Kim* (2022) Estimation of relative risk of mortality and economic burden attributable to high temperature in Wuhan, China. Frontiers in Public Health, doi: 10.3389/fpubh.2022.839204.

  2. E. Muhammad, W. Muhammad, I. Ahmad, K.N. Muhammad, S. Chen* (2020) Satellite precipitation product: Applicability and accuracy evaluation in diverse region. Science in China - Series E: Technological Sciences, 63(5): 819-828.

  3. W. Muhammad, S. Muhammad, N. Khan, and S. Chen* (2020) Hydrological drought indexing approach in response to climate and anthropogenic activities. Theoretical and Applied Climatology, 141(3-4): 1401-1413.

  4. S. Zhu, X.G. Luo, S. Chen*, Z.Y. Xu, H.R. Zhang, Z.X., Xiao. (2020) Improved hidden Markov model incorporated with copula for probabilistic seasonal drought forecasting. Journal of Hydrologic Engineering, 25(6): 04020019.

  5. S. Chen, W. Zhong, S. Pan, Q. Xie* and T. Kim* (2020) Comprehensive Drought Assessment Using a Modified Composite Drought index: A Case Study in Hubei Province, China. Water, 12(2): 462.

  6. S. Chen, G. Chung, B. Kim and T. Kim* (2019) Modified analogue forecasting in the hidden Markov framework for meteorological droughts. Science in China - Series E: Technological Sciences, 62(1): 151‒162.

  7. S. Chen, M. Waseem, J. Lee, and T. Kim* (2018) Assessment of probabilistic multi-index drought using a dynamic naïve Bayesian classifier. Water Resources Management, 32:4359-4374.

  8. S. Chen, J. Shin and T. Kim* (2017) Probabilistic forecasting of drought: a hidden Markov model aggregated with the RCP 8.5 precipitation projection. Stochastic Environmental Research and Risk Assessment, 31(5): 1061-1076.

  9. S. Chen, Y. Li, J. Kim, S. Kim* (2017) Bayesian change point analysis for extreme daily precipitation. International Journal of Climatology, 37(7): 3123-3137.

  10. S. Chen, S. Kim and T. Kim* (2017) Spatial change assessment of the observed and projected extreme precipitation via change point detection. Procedia Engineering, doi: 10.1016/j.proeng.2016.07.496, 154: 1359-1367.

  11. S. Chen, Y. Li, J. Shin and T. Kim* (2016) Constructing confidence intervals of extreme rainfall quantiles using Bayesian, bootstrap, and profile likelihood approaches. Science in China - Series E: Technological Sciences, 59(4): 573-585.

承担(主持)的主要科研项目

  1. 国家自然科学青年基金(42201089),2023.1-2025.12,主持

  2. 教育部人文社会科学青年基金(21YJCZH010),2021.12-2024.12,主持

  3. 水利部长江中下游河湖治理与防洪重点实验室基金(CKWV2021868/KY),2021.7-2023.7,主持

  4. 国家地理信息系统工程技术研究中心基金(2021KFJJ05),2022.7-2024.6,主持

  5. 湖北省自然科学基金(2019CFB188),2019.9-2021.12,主持

  6. 区域开发与环境响应湖北省重点实验室基金(2018(A)0032019.1-2020.12,主持

     

承担(主持)的主要教研项目

  1. 教育部产学合作协同育人项目(201901261002),2019.12-2021.12,参与

其他

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