Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
Zhuping Sheng
Department of Civil Engineering, Morgan State University, Baltimore, MD 21251, USA
Department of Agroecology, Aarhus University, Tjele 8830, Denmark
Sino-Danish College, University of Chinese Academy of Sciences, Yanqihu Campus, Beijing 101408, China
Department of Environmental Science, iClimate – Aarhus University Interdisciplinary Center for Climate Change, Roskilde 4000, Denmark
Rongtian Zhao
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Qingzhou Zhang
Land Resources Exploration Center of Hebei Bureau of Geology and Mineral Exploration and Development (Hebei Mine and Geological Disaster Emergency Rescue Center), Shijiazhuang 050081, China
Yanmin Yang
Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
Shumin Han
Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
Jinghong Liu
Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
Sino-Danish College, University of Chinese Academy of Sciences, Yanqihu Campus, Beijing 101408, China
College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100190, China
Viewed
Total article views: 2,726 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,933
680
113
2,726
191
74
133
HTML: 1,933
PDF: 680
XML: 113
Total: 2,726
Supplement: 191
BibTeX: 74
EndNote: 133
Views and downloads (calculated since 29 Jan 2024)
Cumulative views and downloads
(calculated since 29 Jan 2024)
Total article views: 1,478 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,115
310
53
1,478
67
42
67
HTML: 1,115
PDF: 310
XML: 53
Total: 1,478
Supplement: 67
BibTeX: 42
EndNote: 67
Views and downloads (calculated since 14 Jan 2025)
Cumulative views and downloads
(calculated since 14 Jan 2025)
Total article views: 1,248 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
818
370
60
1,248
124
32
66
HTML: 818
PDF: 370
XML: 60
Total: 1,248
Supplement: 124
BibTeX: 32
EndNote: 66
Views and downloads (calculated since 29 Jan 2024)
Cumulative views and downloads
(calculated since 29 Jan 2024)
Viewed (geographical distribution)
Total article views: 2,726 (including HTML, PDF, and XML)
Thereof 2,676 with geography defined
and 50 with unknown origin.
Total article views: 1,478 (including HTML, PDF, and XML)
Thereof 1,453 with geography defined
and 25 with unknown origin.
Total article views: 1,248 (including HTML, PDF, and XML)
Thereof 1,223 with geography defined
and 25 with unknown origin.
Conventional hydrological models erratically replicate slow hydrological dynamics, necessitating model modification and paradigm shift in hydrological science. The system dynamics approach successfully explains patterns of slow hydrological behaviors at inter-annual and decadal scales by dividing a hydrological system into different hierarchies and building endogenous linking structure among stocks. In spite of the simplicity, it holds potential to integrate hydrological behaviors across scales.