张丹

 

张丹

女,1985年生,副研究员,硕士生导师

电   话:025-86882117

E-maildzhang@niglas.ac.cn

传   真:025-57714759

 

研究领域及方向: 陆地水循环与全球变化、生态水文、极端水文 

简历:

2007年和2010年分别获南京信息工程大学地理信息系统学士学位、气候系统与全球变化硕士学位,2013年获中国科学院地理科学与资源研究所自然地理学博士学位。2013年进入中国科学院南京地理与湖泊研究所从事科研工作,历任助理研究员、副研究员。2018-2019年在澳大利亚联邦科学与工业研究组织(CSIRO)进行访学交流。主持国家自然科学基金3项、江苏省自然科学基金1项,参与国家重点研发计划、国家自然科学基金重点项目、中国科学院战略性先导科技专项等多个科研项目。已在国内外各类刊物上发表论文35篇,其中第一/通讯作者SCI论文19篇,包括Journal of Geophysical Research-Atmospheres、Journal of Hydrology、Journal of Hydrometeorology、Science of the Total Environment等流期刊,参与编写专著2部。 

代表性论著:

[1] Zhang Dan, Liu Xiaomang, Zhang Lu, Zhang Qi, Gan Rong, Li Xianghu, 2020. Attribution of evapotranspiration changes in humid regions of China from 1982 to 2016. Journal of Geophysical Research – Atmospheres, 125(13),doi: 10.1029/2020JD032404. 

[2] Zhang Dan, Liu Xiaomang, Bai Peng, 2019. Assessment of hydrological drought and its recovery time for eight tributaries of the Yangtze River (China) based on downscaled GRACE data. Journal of Hydrology, 568: 592-603. 

[3] Zhang Dan, Zhang Qi, Qiu Jiaming, Bai Peng, Liang Kang, Li Xianghu, 2018. Intensification of hydrological drought due to human activity in the middle reaches of the Yangtze River, China. Science of the Total Environment, 637: 1432-1442. 

[4] Zhang Dan, Liu Xiaomang, Bai Peng, 2018. Different influences of vegetation greening on regional water-energy balance under different climatic conditions. Forests, 9(412): doi:10.3390/f9070412. 

[5] Zhang Dan, Chen Peng, Zhang Qi, Li Xianghu, 2017. Copula-based probability of concurrent hydrological drought in the Poyang lake-catchment-river system (China) from 1960-2013. Journal of Hydrology, 553: 773-784. 

[6] Zhang Dan, Liu Xiaomang, Zhang Qi, Liang Kang, Liu Changming, 2016. Investigation of factors affecting intra-annual variability of evapotranspiration and streamflow under different climate conditions. Journal of Hydrology, 543: 759-769. 

[7] Zhang Dan, Zhang Qi, Werner Adrian D., Liu Xiaomang, 2016. GRACE-based hydrological drought evaluation of the Yangtze River Basin, China. Journal of Hydrometeorology, 17: 811-828. 

[8] Zhang Dan, Zhang Qi, Werner Adrian D, Gu Renying, 2016. Assessment of the reliability of popular satellite products in characterizing the water balance of the Yangtze River Basin, China. Hydrology Research, 47.s1: 8-23. 

[9] 张丹, 梁康, 聂茸, 顾人颖, 2016. 基于Budyko假设的流域蒸散发估算及其对气候与下垫面的敏感性分析. 资源科学, 38(6): 1140-1148.