气候变化、水文过程与分布式水文模拟
1. 自治区重大专项子课题,南疆塔里木河流域洪水演变及发生机制解析,2025.1~2029.12,20242126774,100万元,在研,主持
2. 中国科学院先导B类课题,干旱区内陆河流域水资源变化预测预估,2023.12~2028.11,XDB0720203,372.98万元,在研,主持
3. 中国科学院青年创新促进会优秀会员项目,干旱区山区水系统演变与未来趋势,2024.01~2026.12,200万元,在研,主持
4. 新疆天山英才青年科技拔尖人才项目,昆仑山北坡典型流域径流过程的多约束模拟与未来预估,2023/01-2025/12,2022197480,150万元,在研,主持,
5. 中国科学院新疆生态与地理研究所基础前沿项目课题,干旱区水系统演变与开发潜力评估,2023.1-2025.12,100万元
6. 中国科学院“西部青年学者”,新疆天山流域尺度冰雪融水过程及径流模拟,2023/01-2025/12,80万元,在研,主持
专著:陈亚宁主编,李稚,方功焕,范梦甜副主编. 中亚天山地区的水循环与水资源研究[M]. 北京:科学出版社. 2023
论文10篇:
[1] CHEN Y,FANG G,LI Z,et al. The Crisis in Oases: Research on Ecological Security and Sustainable Development in Arid Regions[J]. Annual Review of Environment and Resources,2024,49.
[2] CHEN M,CHEN Y,FANG G,et al. Risk assessment of glacial lake outburst flood in the Central Asian Tienshan Mountains[J]. npj Climate and Atmospheric Science,2024,7(1):209.
[3] LIANG W,CHEN Y,FANG G,et al. Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region,Central Asia[J]. Journal of Hydrology: Regional Studies,2023,49: 101492.
[4] FANG G,LI Z,CHEN Y,et al. Projecting the Impact of Climate Change on Runoff in the Tarim River Simulated by the Soil and Water Assessment Tool Glacier Model[J]. Remote Sensing,2023,15(16):3922.
[5] FANG G,LI Z,YANG J,et al. Changes in flooding in the alpine catchments of the Tarim River Basin,Central Asia[J]. Journal of Flood Risk Management,2022,e12869.
[6] FANG G,YANG J,LI Z,et al. Shifting in the global flood timing[J]. Scientific Reports,2022,12: 18853.
[7] LI Z,FANG G,CHEN Y,et al. Agricultural water demands in Central Asia under 1.5° C and 2.0° C global warming[J]. Agricultural Water Management,2020,231: 106020.
[8] FANG G,YANG J,CHEN Y,et al. Impact of GCM structure uncertainty on hydrological processes in an arid area of China[J]. Hydrology Research,2018,49(3):893-907.
[9] FANG G,YANG J,CHEN Y,et al. How Hydrologic Processes Differ Spatially in a Large Basin: Multi-site and Multi-objective Modeling in the Tarim River Basin[J]. Journal of Geophysical Research Atmosphere,2018,123(4):7098-7113.
[10] FANG G,YANG J,CHEN Y,et al. Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China[J]. Hydrology and Earth System Sciences,2015,19: 2547-2559.
[1] 2016年,获荒漠与绿洲生态国家重点实验室“创新贡献奖”
[2] 2018年,第十五届自治区自然科学优秀学术论文三等奖
[3] 2019年,最具影响力中国地理期刊优秀论文奖(2014-2015年)(排名第五)
[4] 2022年获得新疆自然科学一等奖(排名第三)