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Thesis

Large sample statistical estimation of streamflow sensitivity to climate and land cover change

Abstract:

Some of the perennial questions in hydrology relate to how land cover change and precipitation affect streamflow change. These questions have been addressed in many ways over the years, but some common assumptions remain insufficiently challenged or addressed. The work presented in this thesis seeks to address some of these gaps using a large sample of observed hydrological, climatological, and land surface data. The increased availability of large-sample hydrological data in recent years ...

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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author

Contributors

Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Supervisor
ORCID:
0000-0001-9416-488X
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Supervisor


More from this funder
Funder identifier:
https://ror.org/052gg0110
Programme:
Clarendon Scholarship


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Pubs id:
1994148
Local pid:
pubs:1994148
Deposit date:
2024-05-01
ARK identifier:

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