RESEARCH ARTICLE
Spatiotemporal shifts in key hydrological variables and dominant factors over China
Shanlei Sun,
Zaoying Bi,
Shujia Zhou,
Hongzhou Wang,
Qingqing Li,
Yi Liu,
Guojie Wang,
Shijie Li,
Haishan Chen,
Yang Zhou,
Corresponding Author
Shanlei Sun
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Correspondence
Shanlei Sun, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Ningliu Road 219, Nanjing 210044, China.
Email: [email protected]
Search for more papers by this authorZaoying Bi
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorShujia Zhou
The Weather Station, Jintan Meteorological Bureau, Changzhou, China
Search for more papers by this authorHongzhou Wang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorQingqing Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorYi Liu
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorGuojie Wang
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorShijie Li
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorHaishan Chen
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorYang Zhou
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorShanlei Sun,
Zaoying Bi,
Shujia Zhou,
Hongzhou Wang,
Qingqing Li,
Yi Liu,
Guojie Wang,
Shijie Li,
Haishan Chen,
Yang Zhou,
Corresponding Author
Shanlei Sun
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Correspondence
Shanlei Sun, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Ningliu Road 219, Nanjing 210044, China.
Email: [email protected]
Search for more papers by this authorZaoying Bi
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorShujia Zhou
The Weather Station, Jintan Meteorological Bureau, Changzhou, China
Search for more papers by this authorHongzhou Wang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorQingqing Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorYi Liu
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorGuojie Wang
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorShijie Li
School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorHaishan Chen
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorYang Zhou
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Search for more papers by this authorFunding information National Natural Science Foundation of China, Grant/Award Numbers: 41875094, 42075189; Natural Science Foundation of Jiangsu Province, China, Grant/Award Number: BK20200096; the National Key Research and Development Program of China, Grant/Award Numbers: 2017YFA0603701, 2018YFC1507101
Abstract
Quantitatively and physically understanding changes in land surface hydrology is a hot topic in the hydro-meteorological research, especially over China with high population density but uneven distribution of water resources. Therefore, the spatiotemporal dynamics (i.e., the 1980s [1981–1990] and 1990s [1991–2000] relative to the baseline of 1961–1980) in evapotranspiration (ET) and streamflow/runoff (Q) were examined across 426 hydrological divisions (HDs) of China. Both the 1980s and 1990s ET decreased over roughly 50% HDs mainly in the central and southeast parts of China, while the 1980s (1990s) Q decreased over slightly higher than 50% (63%) HDs generally in north and southwest China (the central and north parts of China). Relative to the 1980s, more HDs had strong changes in ET and Q in 1990s. Based on the separated contributions of precipitation (P), reference ET and Budyko-type equation parameter n (an integrated variable of catchment property) to ET and Q changes, we found that in 1980s and 1990s, n dominated ET changes over about 60% HDs mainly in the south, with the dominant of P around 35% HDs generally in the north and northeast, while for Q changes, nearly 60% (slightly less than 40%) HDs were dominated by n (P). Moreover, the dominants for ET (Q) changes have shifted from 1980s to 1990s over 36% (45%) HDs, mainly changing from P to n. This study provides a framework for quantitatively understanding land surface hydrological dynamics from the perspectives of climatic and physiographic controls over regions.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Supporting Information
| Filename | Description |
|---|---|
| hyp14319-sup-0001-SupInfo.docxWord 2007 document , 1.9 MB | Data S1. Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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