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Journal article

Accidental infrastructure for groundwater monitoring in Africa

Abstract:

A data deficit in shallow groundwater monitoring in Africa exists despite one million handpumps being used by 200 million people every day. Recent advances with “smart handpumps” have provided accelerometry data sent automatically by SMS from transmitters inserted in handles to estimate hourly water usage. Exploiting the high-frequency “noise” in handpump accelerometry data, we model high-rate wave forms using robust machine learning techniques sensitive to the subtle interaction between pump...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.envsoft.2017.01.026

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Institution:
University of Oxford
Oxford college:
University College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Funding agency for:
Marais, H
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Publisher:
Elsevier Publisher's website
Journal:
Environmental Modelling and Software Journal website
Volume:
91
Pages:
241-250
Publication date:
2017-02-20
Acceptance date:
2017-01-27
DOI:
EISSN:
1873-6726
ISSN:
1364-8152
Source identifiers:
682298
Keywords:
Pubs id:
pubs:682298
UUID:
uuid:e197e110-9e41-4219-bfa4-7f050ebfdf7d
Local pid:
pubs:682298
Deposit date:
2017-03-02

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