基本信息
张凌  男  硕导  中国科学院西北生态环境资源研究院
电子邮件: zhanglingky@lzb.ac.cn
通信地址: 甘肃省兰州市城关区东岗西路320号
邮政编码: 730000

研究领域

遥感与水文水资源


招生信息


招生专业
070503-地图学与地理信息系统
招生方向
水文水资源, 遥感

教育背景

2014-09--2017-06   中国科学院西北生态环境与资源研究院   博士
2011-09--2014-06   中国科学院寒区旱区环境与工程研究所   硕士
2007-09--2011-06   西华师范大学   学士

工作经历

   
工作简历
2020-04~现在, 中国科学院西北生态环境资源研究院, 副研究员
2017-07~2020-03,中国科学院西北生态环境资源研究院, 助理研究员
社会兼职
2021-05-01-今,国际SCI期刊《Scientific Reports》编委,

科研活动

   
科研项目
( 1 ) 流域尺度典型节水灌溉方式的生态水文影响模拟研究, 负责人, 国家任务, 2020-01--2022-12
( 2 ) 人类活动的水文影响分离和情景模拟—以黑河上游为例, 负责人, 中国科学院计划, 2018-01--2021-12
( 3 ) 多源数据支持下的中国灌溉信息反演与重建研究, 负责人, 国家任务, 2023-01--2027-12

指导学生

现指导学生

马慧  硕士研究生  070503-地图学与地理信息系统  

学术成果

  1. Zhang Ling*, Xie Yanhua, Zhu Xiufang, Ma Qimin, Brocca Luca. CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020 developed through multisource data integration. Earth System Science Data. 2024. 16(11). 5207-5226

  2. Zhang Ling*, Wang Weiguo, Ma Qimin, Hu Yingyi, Ma Hui, Zhao Yanbo. CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey. Computers and Electronics in Agriculture. 2024. 218. 108672

  3. Hu Yingyi, Zhang Ling*. Added value of merging techniques in precipitation estimates relative to gauge-interpolation algorithms of varying complexity. Journal of Hydrology. 2024. 645. 132214

  4. Zhang Ling*, Ma Qimin, Zhao Yanbo, Chen Hao, Hu Yingyi, Ma Hui. China's strictest water policy: Reversing water use trends and alleviating water stress. Journal of Environmental Management. 2023. 345. 118867

  5. ​Han Feng, Zheng Yi*, Zhang Ling*, Xiong Rui, Hu Zhaoping, Tian Yong, Li Xin. Simulating drip irrigation in large-scale and high-resolution ecohydrological models: From emitters to the basin. Agricultural Water Management. 2023. 289. 108500

  6. Zhang Ling*, Zhang Kun, Zhu Xiufang, et al. Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China. Journal of Hydrology, 2022, 613:128413

  7.  Zhang Ling*, Zheng Donghai, Zhang Kun, et al. Divergent trends in irrigation-water withdrawal and consumption over mainland China. Environmental Research Letters, 2022, 17(9):94001.

  8.  Li Xin*, Cheng Ggudong, Fu Bojie, Xia, Jun, Zhang Ling*, et al. Linking critical zone with watershed science: The example of the Heihe River basin. Earth's Future, 2022, e2022E. 

  9. Zhang Ling*, Zhao Yanbo, Ma Qimin, et al. A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration. Journal of Hydrology, 2021, (599):126359. 

  10. Zhang Ling*, Li Xin, Zheng Donghai, et al. Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach. Journal of Hydrology, 2021:125969.

  11.  Li Xin*, Zhang Ling*, Zheng Yi, et al. Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin. Environmental Modelling & Software, 2021, 141:105058. 

  12. Zhang Ling*, Li Xin, Cao Yanping, et al. Evaluation and integration of the top-down and bottom-up satellite precipitation products over mainland China. Journal of Hydrology, 2020:124456. 

  13. Zhang Ling*, Ren D, et al., 2020, Interpolated or satellite-based precipitation? Implications for hydrological modeling in a meso-scale mountainous watershed on the Qinghai-Tibet Plateau. Journal of Hydrology, 2020. 583: 124629. 

  14. Zhang Ling*. Comment on “Exploring the Influence of Smallholders’ Perceptions Regarding Water Availability on Crop Choice and Water Allocation Through Socio-Hydrological Modeling” by Kuil et al. [Water Resource Research, 54, 2580–2604], Water Resource Research, 2019, 55, 2532–2535. 

  15. Zhang Ling*, Ma Q, Zhao Y, et al. Determining the influence of irrigation efficiency improvement on water use and consumption by conceptually considering hydrological pathways. Agricultural Water Management, 2019, 213:674-681. 

  16.  Zhang Ling, Nan Z, Liang X, et al. Application of the MacCormack scheme to overland flow routing for high-spatial resolution distributed hydrological model. Journal of Hydrology, 2018, 558:421-431. 

  17.  Zhang Ling*, Nan Z, Wang W, et al. Separating climate change and human contributions to variations in streamflow and its components using eight time-trend methods. Hydrological Processes, 2018,1-12. 

  18. Zhang Ling, Nan Z, et al., 2018, Comparison of baseline period choices for separating climate and land use/land cover change impacts on watershed hydrology using distributed hydrological models. Science of The Total Environment, 622–623: 1016-1028. 

  19. Zhang Ling, Nan Z, et al., 2016, Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China. PLoS ONE,11(6): e0158394.  

  20.  Zhang Ling, Nan Z, et al., 2016, Hydrological Responses to Land-Use Change Scenarios under Constant and Changed Climatic Conditions. Environmental Management, 57(2): 412-431. 

  21. Zhang Ling, Nan Z, et al.,2015, Modeling Land-Use and Land-Cover Change and Hydrological Responses under Consistent Climate Change Scenarios in the Heihe River Basin, China. Water Resources Management, 29(13): 4701-4717.