电子邮件: htduan@niglas.ac.cn
通信地址: 南京市北京东路73号
邮政编码: 210008
招生信息
招生专业
招生方向
学习工作经历
工作经历
2015/01 中科院南京地理与湖泊研究所 研究员
2011/03-2012/02 美国南佛罗里达大学(Universtiy of South Florida) 访问学者
2010/05-2010/10 香港中文大学 访问研究
2010/01-2014/12 中科院南京地理与湖泊研究所 副研究员
2007/06-2009/12 中科院南京地理与湖泊研究所 助理研究员
社会任职
International Journal of Applied Earth Observation and Geoinformation、Chinese Geographical Science、Information Geography、遥感学报、湖泊科学、遥感技术与应用等期刊编委
青年地学论坛副理事长、第五届青年地学论坛共同主席、中国地理学会地图学与地理信息系统专业委员会委员、中国地理学会湿地与湖泊专业委员会委员、中国海洋湖沼学会湖泊分会理事、合肥市巢湖综合治理专家咨询委员会委员、中国科学院南京地理有湖泊研究所学术委员会委员、湖泊国家工程实验室副主任等
讲授课程
指导学生
已指导学生
吴静汇 硕士研究生 070503-地图学与地理信息系统
陶慜 硕士研究生 070503-地图学与地理信息系统
曹志刚 硕士研究生 070503-地图学与地理信息系统
沈明 硕士研究生 070503-地图学与地理信息系统
齐天赐 硕士研究生 070503-地图学与地理信息系统
马金戈 硕士研究生 070503-地图学与地理信息系统
沈明 博士研究生 070503-地图学与地理信息系统
齐天赐 博士研究生 070503-地图学与地理信息系统
马金戈 博士研究生 070503-地图学与地理信息系统
刘宇晨 硕士研究生 070503-地图学与地理信息系统
现指导学生
孙喆 博士研究生 070503-地图学与地理信息系统
司云瑞 博士研究生 070503-地图学与地理信息系统
杨辰 博士研究生 070503-地图学与地理信息系统
获奖情况
2023,湖泊水环境遥感监测关键技术与应用,地理信息科技进步一等奖(排名第1)
2020,内陆水体水质遥感模型与富营养化反演,吉林省科学技术一等奖(排名第2)
2018,教育部青年长江学者
2017,《湖泊水环境遥感》,全国第十二届优秀地理图书奖(排名第2)
2016,《中国湖泊分布地图集》,优秀地图作品裴秀奖(银奖)
2013,中国地理学会“第十二届全国青年地理科技奖”
2012,“太湖水华蓝藻高精度遥感关键技术研发与应用”,江苏省科学技术奖二等奖(排名第3)
2012,“南海及邻近海域藻华形成演变过程机制与遥感监测方法”,广东省科学技术奖一等奖(排名第9)
2011,中国科学院卢嘉锡青年人才奖
2007,中国科学院院长特别奖
承担项目
湖泊富营养化及其碳源汇效应(42425104). 国家杰出青年科学基金. 2025.01-2029.12. 主持
黄河黄土高原段悬浮泥沙遥感机理与动态监测技术研究(U2243205).国家自然科学基金黄河水科学研究联合基金重点项目.2022.01-2025.12.主持
基于人工智能算法的富营养化水体蓝藻无人机高光谱遥感(42111540259).国家自然科学基金(国际(地区)合作与交流项目).2022.01-2023.12.主持
智慧滇池智能化管理平台项目建设可行性研究报告、一期项目建设方案编制.昆明市滇池保护治理信息中心.2021.10-2022.06.主持
长潭水库水质监测与预警体系建设项目.浙江省台州市黄岩区环境保护监测站.2020.12-现在.主持
蓝藻监控预警系统及平台建设项目(YNYG2020-0611).昆明市滇池高原湖泊研究院.2020.10-2022.07.主持
巢湖蓝藻水华监测预警与模拟分析平台(2019AMCZ4627).安徽省巢湖管理局.2020.06-2021.05.主持
巢湖流域水环境一级保护区高分遥感监测项目.安徽省巢湖管理局.2018.01-2020.12.主持
水环境目标水质管理平台集成技术巢湖流域验证应用与推广(2017ZX07603-001).水体污染控制与治理科技重大专项课题.2017.01-2021.12.主持
藻型湖泊水体表层CO2分压卫星遥感探索研究(41971309).国家自然科学基金(面上).2020.01-2023.12.主持
中高纬度湖泊复杂来源颗粒有机碳遥感反演机理研究(41671358).国家自然科学基金(面上).2017.01-2020.12.主持
面向藻总量的太湖水下光场垂向分异机制研究(BK20160049).江苏省杰出青年基金项目.2016.07-2019.06.主持
于桥水库蓝藻水华卫星遥感监测和预测预警模型研究.天津市于桥水库管理处.2016-2017.主持
湖泊水环境遥感(Y201670).中科院青促会优秀会员.2016.01-2018.12.主持
发表论文
英文论文清单:https://orcid.org/0000-0002-1985-2292
代表性论文:
² 段洪涛*,曹志刚,沈明,马金戈,齐天赐.2022. 湖泊遥感研究进展与展望. 遥感学报,26(1): 1-15
² 邱银国,段洪涛*,万能胜,高芮,黄佳聪,薛坤,彭兆亮,肖鹏峰. 2022. 巢湖蓝藻水华监测预警与模拟分析平台设计与实践. 湖泊科学,34(1): 38-48
² 段洪涛*,万能胜,邱银国,刘刚,陈青,罗菊花,陈远,齐天赐. 2020. 富营养化湖库天-空-地一体化监控平台系统设计与实践. 湖泊科学,32(5): 1396-1405
² 段洪涛*,罗菊花,曹志刚,薛坤,肖启涛,刘东. 2019. 流域水环境遥感研究进展与思考. 地理科学进展,38(8): 1182-1195
² Xiao, Q., Duan, H.*, Qin, B., Hu, Z., Zhang, M., Qi, T., & Lee, X. 2022. Eutrophication and temperature drive large variability in carbon dioxide from China's Lake Taihu. Limnology and Oceanography, 67, 379–391
² Tao, H., Song, K.*, Liu, G., Wang, Q., Wen, Z., Jacinthe, P.-A., Xu, X., Du, J., Shang, Y., Li, S., Wang, Z., Lyu, L., Hou, J., Wang, X., Liu, D., Shi, K., Zhang, B., & Duan, H.* 2022. A Landsat-derived annual inland water clarity dataset of China between 1984 and 2018. Earth System Science Data, 14, 79-94
² Xiao, Q., Liu, Z., Hu, Z., Wang, W., Zhang, M., Xiao, W., & Duan, H.* 2021. Notable changes of carbon dioxide in a eutrophic lake caused by water diversion. Journal of Hydrology, 603, 127064
² Liu, D., Yu, S., Xiao, Q., Qi, T., & Duan, H.* 2021. Satellite estimation of dissolved organic carbon in eutrophic Lake Taihu, China. Remote Sensing of Environment, 264, 112572
² Liu, D., Du, Y., Yu, S., Luo, J., & Duan, H.* 2020. Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River. Water Research, 168, 115132
² Liu, D., Duan, H.*, Loiselle, S., Hu, C., Zhang, G., Li, J., Yang, H., Thompson, J.R., Cao, Z., Shen, M., Ma, R., Zhang, M., & Han, W. 2020. Observations of water transparency in China’s lakes from space. International Journal of Applied Earth Observation and Geoinformation, 92, 102187
² Luo, J., Pu, R., Duan, H.*, Ma, R., Mao, Z., Zeng, Y., Huang, L., & Xiao, Q. 2020. Evaluating the influences of harvesting activity and eutrophication on loss of aquatic vegetations in Taihu Lake, China. International Journal of Applied Earth Observation and Geoinformation, 87, 102038
² Shen, M., Duan, H.*, Cao, Z., Xue, K., Qi, T., Ma, J., Liu, D., Song, K., Huang, C., & Song, X. 2020. Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation. Remote Sensing of Environment, 247, 111950
² Qi, T., Xiao, Q., Cao, Z., Shen, M., Ma, J., Liu, D., & Duan, H.* 2020. Satellite Estimation of Dissolved Carbon Dioxide Concentrations in China’s Lake Taihu. Environmental Science & Technology, 54, 13709-13718
² Xiao, Q., Xu, X., Duan, H.*, Qi, T., Qin, B., Lee, X., Hu, Z., Wang, W., Xiao, W., & Zhang, M. 2020. Eutrophic Lake Taihu as a significant CO2 source during 2000–2015. Water Research, 170, 115331
² Xiao, Q., Xu, X., Zhang, M., Duan, H.*, Hu, Z., Wang, W., Xiao, W., & Lee, X.* 2019. Coregulation of nitrous oxide emissions by nitrogen and temperature in China's third largest freshwater lake (Lake Taihu). Limnology and Oceanography, 64, 1070-1086
² Duan, H.*, Cao, Z., Shen, M., Liu, D., Xiao, Q. 2019. Detection of illicit sand mining and the associated environmental effects in China's fourth largest freshwater lake using daytime and nighttime satellite images. Science of the Total Environment, 2019, 647:606-618
² Duan, H., Tao, M., Loiselle, S.A., Zhao, W., Cao, Z., Ma, R., & Tang, X. 2017. MODIS observations of cyanobacterial risks in a eutrophic lake: Implications for long-term safety evaluation in drinking-water source. Water Research, 122, 455-470
² Cao, Z., Duan, H.*, Feng, L., Ma, R., & Xue, K. 2017. Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales. Remote Sensing of Environment, 192, 98-113
² Duan, H., Feng, L., Ma, R., Zhang, Y., & Loiselle, S.A. 2014. Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery. Environmental Research Letters, 9, 084011
² Duan, H., R. Ma, C. Hu. 2012. Remote sensing algorithms of cyanobacteria pigments during spring bloom formation in several lakes of East China. Remote Sensing of Environment, 126, 126-135.
² Duan, H., R. Ma, Y. Zhang, Steven Arthur Loiselle, J. Xu, C. Zhao, L. Zhou, L. Shang. 2010. A new three-band algorithm for estimating chlorophyll-concentrations in turbid inland lakes. Environmental Research Letters, 5, 044009.
² Duan, H., R. Ma, X. Xu, F. Kong, S. Zhang, W. Kong, J. Hao, L. Shang. 2009. Two-decade reconstruction of algal blooms in China’s Lake Taihu. Environmental Science & Technology, 43 (10): 3522–3528.
² Cao, Z., Ma, R., Duan, H., Pahlevan, N., Melack, J., Shen, M., & Xue, K. 2020. A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes. Remote Sensing of Environment, 248, 111974
² Hou, X., Feng, L., Duan, H., Chen, X., Sun, D., & Shi, K. 2017. Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China. Remote Sensing of Environment, 190, 107-121
² Jiang, G., Loiselle, S.A., Yang, D., Gao, C., Ma, R., Su, W., & Duan, H. 2019. An absorption-specific approach to examining dynamics of particulate organic carbon from VIIRS observations in inland and coastal waters. Remote Sensing of Environment, 224, 29-43
² Kwon, Y.S., Pyo, J., Kwon, Y.-H., Duan, H., Cho, K.H., & Park, Y. 2020. Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir. Remote Sensing of Environment, 236, 111517
²Pyo, J., Duan, H., Baek, S., Kim, M.S., Jeon, T., Kwon, Y.S., Lee, H., & Cho, K.H. 2019. A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery. Remote Sensing of Environment, 233, 111350
² Qi, L., Hu, C., Duan, H., Cannizzaro, J., & Ma, R. 2014. A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations. Remote Sensing of Environment, 154, 298-317
² Song, K., Li, L., Tedesco, L., Li, S., Duan, H., Liu, D., Hall, B., Du, J., Li, Z., & Shi, K. 2013. Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model. Remote Sensing of Environment, 136, 342-357
² Xue, K., Ma, R., Duan, H., Shen, M., Boss, E., & Cao, Z. 2019. Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes. Remote Sensing of Environment, 225, 328-346