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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2,565
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3,218
123
154
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PDF: 553
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BibTeX: 123
EndNote: 154
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
(calculated since 14 Dec 2022)
Total article views: 1,660 (including HTML, PDF, and XML)
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1,387
208
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1,660
99
132
HTML: 1,387
PDF: 208
XML: 65
Total: 1,660
BibTeX: 99
EndNote: 132
Views and downloads (calculated since 21 Aug 2023)
Cumulative views and downloads
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Total article views: 1,558 (including HTML, PDF, and XML)
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1,178
345
35
1,558
24
22
HTML: 1,178
PDF: 345
XML: 35
Total: 1,558
BibTeX: 24
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Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,218 (including HTML, PDF, and XML)
Thereof 3,131 with geography defined
and 87 with unknown origin.
Total article views: 1,660 (including HTML, PDF, and XML)
Thereof 1,624 with geography defined
and 36 with unknown origin.
Total article views: 1,558 (including HTML, PDF, and XML)
Thereof 1,507 with geography defined
and 51 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...
