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Denis A. Hughes

Researcher at Rhodes University

Publications -  169
Citations -  6051

Denis A. Hughes is an academic researcher from Rhodes University. The author has contributed to research in topics: Water resources & Drainage basin. The author has an hindex of 37, co-authored 161 publications receiving 5332 citations.

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A decade of Predictions in Ungauged Basins (PUB)—a review

TL;DR: The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS) launched in 2003 and concluded by the PUB Symposium 2012 held in Delft (23-25 October 2012), set out to shift the scientific culture of hydrology towards improved scientific understanding of hydrological processes, as well as associated uncertainties and the development of models with increasing realism and predictive power as discussed by the authors.
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“Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022

Alberto Montanari, +36 more
TL;DR: The Panta Rhei Everything Flows project as mentioned in this paper is dedicated to research activities on change in hydrology and society, which aims to reach an improved interpretation of the processes governing the water cycle by focusing on their changing dynamics in connection with rapidly changing human systems.
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A desktop model used to provide an initial estimate of the ecological instream flow requirements of rivers in South Africa

TL;DR: The South African Water Act of 1998 stipulates that future water resource developments should be environmentally sustainable and that a component of the natural flow of rivers should be reserved to ensure some level of ecological functioning.
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Daily flow time series patching or extension: a spatial interpolation approach based on flow duration curves

TL;DR: In this article, an algorithm is described that was initially developed as a simple method for patching and extending observed time series of daily streamflow, based on the use of 1-day flow duration curves for each month of the year and on the assumption that flows occurring simultaneously at sites in reasonably close proximity to each other correspond to similar percentage points on their respective duration curves.
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Comparison of satellite rainfall data with observations from gauging station networks

TL;DR: In this paper, a preliminary analysis of the potential for using satellite derived rainfall data through a comparison with available gauge data for four basins in the southern Africa region is presented, where the satellite data cannot be used directly in conjunction with historical gauge data.