成果/Result
- Combining the SWAT model with sequential uncertainty fitting algorithm for streamflow prediction and uncertainty analysis for the Lake Dianchi Basin, China被引量：43收藏
- 作者：Zhou, Jing Liu, Yong Guo, Huaicheng He, Dan
- 机构：Peking Univ;Beijing Union Univ
- 来源：HYDROLOGICAL PROCESSES 2014
- 关键词：streamflow SWAT SUFI-2 algorithm uncertainty analysis Lake Dianchi Basin
- Integrated SWAT model and statistical downscaling for estimating streamflow response to climate change in the Lake Dianchi watershed, China被引量：33收藏
- 作者：Zhou, Jing He, Dan Xie, Yufeng Liu, Yong Yang, Yonghui Sheng, Hu Guo, Huaicheng Zhao, Lei Zou, Rui
- 机构：Chinese Acad Sci;Peking Univ;Beijing Union Univ;Minist Environm Protect;Yunnan Key Lab Pollut Proc & Management Plateau L
- 来源：STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2015
- 关键词：Climate change Streamflow Statistical downscaling model SWAT Lake Dianchi watershed
- Spatiotemporal variations of actual evapotranspiration over the Lake Selin Co and surrounding small lakes (Tibetan Plateau) during 2003-2012被引量：17收藏
- 作者：Zhou, Jing Wang, Lei Zhang, YinSheng Guo, YanHong He, Dan
- 机构：Chinese Acad Sci;Chinese Acad Sci;Beijing Union Univ
- 来源：SCIENCE CHINA-EARTH SCIENCES 2016
- 关键词：Actual evapotranspiration Lake basins Tibetan Plateau Distributed hydrological model Penman method
- Assessing Spatiotemporal Changes of SDG Indicators at the NEIghborhood Level in Guilin, China: A Geospatial Big Data Approach被引量：7收藏
- 作者：Han, Liying Lu, Linlin Lu, Junyu Liu, Xintong Zhang, Shuangcheng Luo, Ke He, Dan Wang, Penglong Guo, Huadong Li, Qingting
- 机构：Changan Univ;Int Res Ctr Big Data Sustainable Dev Goals;Chinese Acad Sci;Arizona State Univ;Beijing Normal Univ
- 来源：REMOTE SENSING 2022
- 关键词：SDG11 geospatial big data sustainable development goals earth observation Guilin
- The Heterogeneous Impact of High-Speed Railway on Urban Expansion in China被引量：3收藏
- 作者：He, Dan Chen, Zixuan Zhou, Jing Yang, Ting Lu, Linlin
- 机构：Beijing Union Univ;Chinese Acad Sci;Chinese Acad Sci
- 来源：REMOTE SENSING 2021
- 关键词：HSR urban expansion heterogenEIty multi-stage DID model land use China
