English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Learning water-human adaptation from historical droughts in the Yangtze and São Francisco rivers basins

Authors

Dong,  Qianjin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Mendiondo,  Eduardo Mario
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Dong, Q., Mendiondo, E. M. (2023): Learning water-human adaptation from historical droughts in the Yangtze and São Francisco rivers basins, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4288


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021724
Abstract
Drought is a complex phenomenon, which involves natural factors such as meteorology, hydrology, agriculture, landform, geology, and is also closely related to human conditions, like society, economy and culture. At present, there are many studies on the diagnosis, transmission, causes and influences of drought events, but there are some deficiencies in the review of historical drought events under a comparative analysis of different regions. Taking the Yangtze River Basin in China and Sao Francisco Basin in Brazil as objects, we analyze how ca we learn from historical evidences in regional differences of the spatio-temporal evolution of drought events, the driving forces of drought formation, the influence of climate change, and the disaster risk reduction strategies for the two basins. Despite of different monitoring periods, we elucidate similarities and differences in the historical solutions for droughts in the two basins. Thus, we address how history can help on adaptation strategies to learn from extreme droughts and provide more robust decision support schemes. This work is supported by 2022 NSFC(China)-FAPESP(Brazil) SDIC Program.