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杨晓英
发表时间:2012-06-19 阅读次数:5775次

 

杨晓英   博士/副教授

 

联系电话:021-65642192

Email:xiaoying@fudan.edu.cn

 

学习与工作经历

2010-至今,复旦大学环境科学与工程系

2006-2009,美国堪萨斯州立大学土木工程系,博士后
2004-2006,美国爱荷华大学地理系,硕士
1999-2005,美国南伊利诺伊大学环境资源与政策专业,博士
1996-1999,南京大学环境科学与工程系,硕士
1992-1996,南京大学环境科学与工程系,学士

 

主持项目

  • 水文水资源与水利工程科学国家重点实验室开放研究基金“降雨分辨率对水循环模拟与气候变化评估的影响研究”,2017.1-2018.11
  • 国家自然科学青年基金¾“气候变化对流域氮负荷与污染控制的影响研究”,2013.1-2015.12
  • 教育部博士点新教师基金¾“营养盐负荷的气候变化敏感性研究”,2013.1-2014.12
  • 教育部留学人员基金¾“城市居民终端用水研究-以上海市为例”,2012.11-2014.10
  • 上海市自然科学基金¾“塔式蚯蚓生态滤池中的氮素去除影响因素和机理研究”,2011.4-2014.3
  • 复旦大学985工程三期整体推进社会科学研究项目¾“基于公众参与的流域面源污染控制技术优选和运行模式研究”,2012.1-2014.4

 

主要研究方向:

        流域水循环与污染过程模拟,流域污染时空特征分析,流域污染控制优化决策,气候变化对区域水环境的影响。代表研究成果如下:

1.  复合污染型流域的污染源解析。建立流域污染过程模型,模拟来自于多种点源与非点源的污染物迁移转化过程,基于模型模拟结果分析不同污染源的污染负荷贡献比重和时空分布特征。

2.  区域气候变化时空特征分析。基于标准降雨指数(SPI)分析淮河流域过去50年的干湿气候变化时空特征。

3.  流域污染物浓度空间预测。建立空间回归模型,评估流域特征对河流主要污染物浓度的影响,并对流域所有支流与干流的污染物浓度进行空间预测。

 

4.  农民施肥行为特征研究。设计调查表,在典型区域对农民的施肥行为进行入户调查,基于调查结果分析农民施肥行为特征和主要影响因素。

 

近三年代表论文

  1. Yang, X. *, Liu, Q., Fu, G., He, Y., Luo, X., Zheng, Z. 2016. Spatiotemporal patterns and source attribution of nitrogen load in a river basin with complex pollution sources. Water Research. 94:187-199.
  2. Yang, X., Liu, Q., He, Y., Luo, X., Zhang, X. * 2016. Comparison of daily and sub-daily SWAT models for daily streamflow simulation in the Upper Huai River Basin of China,Stochastic Environmental Research and Risk Assessment. 30(3):959-972.
  3. Li, J.H., Cao, X., Ge, Z.G., Yang, X.*, Zheng, Z.*, 2016. Flocculation of Microcystis aeruginosa by steel slag and its safety evaluation. Jouranl of applied  Phycology.  28: 261-268.
  4. Yang, X. * and Fang, S.* 2015. Practices, perceptions, and implications of fertilizer use in East-Central China. AMBIO. 44(7):647-652.
  5. He, Y., Ye, J., Yang, X*. 2015. Analysis of the spatio-temporal patterns of dry and wet conditions in the Huai River Basin using the Standardized Precipitation Index. Atmospheric Research. 166(12):120-128.
  6. Nie, E., Wang, D., Yang, M., Luo, X., Fang, C., Su, D., Yang, X. *, Zhou, L., Zheng, Z. 2015. Tower bio-vermifilter system for rural wastewater treatment: Bench-scale, pilot-scale, and engineering applications. International Journal of Environmental Science and Technology. 12 (3):1053-1064.
  7. Steward, D.R., Bruss, P.J., Yang, X., et al. 2013. Tapping unsustainable groundwater stores for agricultural production in the High Plains Aquifer of Kansas, projections to 2110. Proceedings of the National Academy of Sciences of the United States of America. 110(37): E3477-E3486. 
  8. Yang, X., Fang, S.B., Lant, C., et al. 2012. Overfertilization in the economically developed and ecologically critical Lake Tai region, China. Human Ecology. 40:957–964.
  9. Fang, S.B., Jia, X.B., Yang, X.*, et al. 2012. A method of identifying priority spatial patterns for the management of potential ecological risks posed by heavy metals. Journal of Hazardous Materials. 237-238:290-298. 
  10. Yang, X.* 2012. Application of the conceptualization groundwater data model to study the Upper Arkansas River Corridor, Western Kansas. Journal of Earth Sciences. 23(1):77-87.
  11. Yang, X., Jiang, G.M., Luo, X., Zheng, Z.* 2012. Preliminary mapping of high-resolution rural population distribution based on imagery from Google Earth: A case study in the Lake Tai basin, Eastern China. Applied Geography. 32(2):221-227.
  12. Yang, X. * and Lant, C. 2011. A geographical and temporal analysis of U.S. thermoelectric withdrawals in comparison to renewable water supplies. Applied Geography. 31(3):1154-1165.
  13. Yang, X. * and Jin, W., 2010. GIS-based spatial regression and prediction of water quality in river networks: A case study in Iowa. Journal of Environmental Management. 91(10):1943-1951.
  14. Yang, X. *, Steward, D.R., de Lange, W.J., et al. 2010. Data model for system conceptualization in groundwater studies. International Journal of Geographical Information Science. 24(5):677–694.
  15. Yang, X. * and Dziegielewski, B., 2007. Water use by thermoelectric power plants in the U.S. Journal of the American Water Resources Association. 43(1):160-169.

 

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