Publication:

Quality of crowdsourced water level observations

Date

Date

Date
2020
Dissertation

Citations

Citation copied

Strobl, B. (2020). Quality of crowdsourced water level observations. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-190608

Abstract

Abstract

Abstract

Hydrological data are crucial for a better understanding of hydrological processes and can help improve models to predict floods and droughts, to allocate water resources and to better manage hydropower. However, hydrological data are often scarce, as gauging stations are expensive to build and maintain. Citizen science can help fill such data gaps and thereby complement the existing hydrological measurement network. To maximize its use, citizen science in hydrology requires innovative and novel approaches that are aligned with t

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136 since deposited on 2020-10-07
Acq. date: 2025-11-14

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275 since deposited on 2020-10-07
Acq. date: 2025-11-14

Citations

Additional indexing

Creators (Authors)

Institution

Institution

Institution

Faculty

Faculty

Faculty
Faculty of Science

Item Type

Item Type

Item Type
Dissertation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Place of Publication

Place of Publication

Place of Publication
Zürich

Publication date

Publication date

Publication date
2020

Date available

Date available

Date available
2020-10-07

Number of pages

Number of pages

Number of pages
126

OA Status

OA Status

OA Status
Green

Metrics

Downloads

136 since deposited on 2020-10-07
Acq. date: 2025-11-14

Views

275 since deposited on 2020-10-07
Acq. date: 2025-11-14

Citations

Citations

Citation copied

Strobl, B. (2020). Quality of crowdsourced water level observations. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-190608

Green Open Access
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