Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Sten Schurer
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Hodson Makurira
Department of Construction and Civil Engineering, University of
Zimbabwe, Box MP 167, Mt. Pleasant, Harare, Zimbabwe
Kawawa Banda
Department of Geology, Integrated Water Resources Management Center,
University of Zambia, Great East Road Campus, P.O. Box 32379, Lusaka, Zambia
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Deltares, Delft, the Netherlands
Rainbow Sensing, The Hague, the Netherlands
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2,326
496
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2,903
93
123
HTML: 2,326
PDF: 496
XML: 81
Total: 2,903
BibTeX: 93
EndNote: 123
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
(calculated since 14 Dec 2022)
Total article views: 1,417 (including HTML, PDF, and XML)
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1,198
170
49
1,417
75
106
HTML: 1,198
PDF: 170
XML: 49
Total: 1,417
BibTeX: 75
EndNote: 106
Views and downloads (calculated since 21 Aug 2023)
Cumulative views and downloads
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Total article views: 1,486 (including HTML, PDF, and XML)
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BibTeX
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1,128
326
32
1,486
18
17
HTML: 1,128
PDF: 326
XML: 32
Total: 1,486
BibTeX: 18
EndNote: 17
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,903 (including HTML, PDF, and XML)
Thereof 2,811 with geography defined
and 92 with unknown origin.
Total article views: 1,417 (including HTML, PDF, and XML)
Thereof 1,378 with geography defined
and 39 with unknown origin.
Total article views: 1,486 (including HTML, PDF, and XML)
Thereof 1,433 with geography defined
and 53 with unknown origin.
The study investigates how low-cost technology can be applied in data-scarce catchments to improve water resource management. More specifically, we investigate how drone technology can be combined with low-cost real-time kinematic positioning (RTK) global navigation satellite system (GNSS) equipment and subsequently applied to a 3D hydraulic model so as to generate more physically based rating curves.
The study investigates how low-cost technology can be applied in data-scarce catchments to...
