Institution
UNESCO-IHE Institute for Water Education
Education•Delft, Netherlands•
About: UNESCO-IHE Institute for Water Education is a education organization based out in Delft, Netherlands. It is known for research contribution in the topics: Water resources & Flood myth. The organization has 1242 authors who have published 3128 publications receiving 108423 citations.
Topics: Water resources, Flood myth, Wastewater, Climate change, Population
Papers published on a yearly basis
Papers
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TL;DR: The SWAT-CUP tool as discussed by the authors is a semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration, and is used to provide statistics for goodness-of-fit.
Abstract: SWAT (Soil and Water Assessment Tool) is a comprehensive, semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration. Several calibration techniques have been developed for SWAT, including manual calibration procedures and automated procedures using the shuffled complex evolution method and other common methods. In addition, SWAT-CUP was recently developed and provides a decision-making framework that incorporates a semi-automated approach (SUFI2) using both manual and automated calibration and incorporating sensitivity and uncertainty analysis. In SWAT-CUP, users can manually adjust parameters and ranges iteratively between autocalibration runs. Parameter sensitivity analysis helps focus the calibration and uncertainty analysis and is used to provide statistics for goodness-of-fit. The user interaction or manual component of the SWAT-CUP calibration forces the user to obtain a better understanding of the overall hydrologic processes (e.g., baseflow ratios, ET, sediment sources and sinks, crop yields, and nutrient balances) and of parameter sensitivity. It is important for future calibration developments to spatially account for hydrologic processes; improve model run time efficiency; include the impact of uncertainty in the conceptual model, model parameters, and measured variables used in calibration; and assist users in checking for model errors. When calibrating a physically based model like SWAT, it is important to remember that all model input parameters must be kept within a realistic uncertainty range and that no automatic procedure can substitute for actual physical knowledge of the watershed.
2,200 citations
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Colorado State University1, The Nature Conservancy2, Cooperative Research Centre3, University of Washington4, Patuxent Wildlife Research Center5, United States Geological Survey6, United States Forest Service7, UNESCO-IHE Institute for Water Education8, University of the Witwatersrand9, International Water Management Institute10
TL;DR: The ecological limits of hydrologic alteration (ELOHA) as mentioned in this paper is a framework for assessing environmental flow needs for many streams and rivers simultaneously to foster development and implementation of environmental flow standards at the regional scale.
Abstract: SUMMARY 1. The flow regime is a primary determinant of the structure and function of aquatic and riparian ecosystems for streams and rivers. Hydrologic alteration has impaired riverine ecosystems on a global scale, and the pace and intensity of human development greatly exceeds the ability of scientists to assess the effects on a river-by-river basis. Current scientific understanding of hydrologic controls on riverine ecosystems and experience gained from individual river studies support development of environmental flow standards at the regional scale. 2. This paper presents a consensus view from a group of international scientists on a new framework for assessing environmental flow needs for many streams and rivers simultaneously to foster development and implementation of environmental flow standards at the regional scale. This framework, the ecological limits of hydrologic alteration (ELOHA), is a synthesis of a number of existing hydrologic techniques and environmental flow methods that are currently being used to various degrees and that can support comprehensive regional flow management. The flexible approach allows
1,408 citations
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TL;DR: The water footprint of a country is defined as the volume of water needed for the production of the goods and services consumed by the inhabitants of the country as mentioned in this paper, which shows the extent of water use in relation to consumption of people.
Abstract: The water footprint shows the extent of water use in relation to consumption of people. The water footprint of a country is defined as the volume of water needed for the production of the goods and services consumed by the inhabitants of the country. The internal water footprint is the volume of water used from domestic water resources; the external water footprint is the volume of water used in other countries to produce goods and services imported and consumed by the inhabitants of the country. The study calculates the water footprint for each nation of the world for the period 1997-2001. The USA appears to have an average water footprint of 2480 m 3 /cap/yr, while China has an average footprint of 700 m 3 /cap/yr. The global average water footprint is 1240 m 3 /cap/yr. The four major direct
1,398 citations
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TL;DR: In this paper, a nearshore numerical model approach to assess the natural coastal response during time-varying storm and hurricane conditions, including dune erosion, overwash and breaching, is validated with a series of analytical, laboratory and field test cases.
1,150 citations
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Delft University of Technology1, UNESCO-IHE Institute for Water Education2, Vienna University of Technology3, University of Saskatchewan4, University of Illinois at Urbana–Champaign5, Swedish Meteorological and Hydrological Institute6, National Center for Atmospheric Research7, Karlsruhe Institute of Technology8, University of Bristol9, Russian Academy of Sciences10, University of Arizona11, Rhodes University12, University of Bologna13, University of Aberdeen14, Agrocampus Ouest15
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.
Abstract: 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. This paper reviews the work that has been done under the six science themes of the PUB Decade and outlines the challenges ahead for the hydrological sciences community.Editor D. KoutsoyiannisCitation Hrachowitz, M., Savenije, H.H.G., Bloschl, G., McDonnell, J.J., Sivapalan, M., Pomeroy, J.W., Arheimer, B., Blume, T., Clark, M.P., Ehret, U., Fenicia, F., Freer, J.E., Gelfan, A., Gupta, H.V., Hughes, D.A., Hut, R.W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P.A., Uhlenbrook, S., Wagener, T., Winsemius, H.C., Woods, R.A., Zehe, E., and Cudennec, C., 2013. A d...
848 citations
Authors
Showing all 1284 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gary L. Amy | 91 | 417 | 29114 |
Arjen Ysbert Hoekstra | 86 | 384 | 33453 |
Johan Rockström | 85 | 236 | 57842 |
Hubert H. G. Savenije | 82 | 376 | 20268 |
Piet N.L. Lens | 77 | 633 | 23367 |
Giovanni Esposito | 65 | 614 | 18802 |
Bernhard Wehrli | 63 | 217 | 13311 |
Wim G.M. Bastiaanssen | 57 | 191 | 14886 |
Eddy Moors | 56 | 159 | 15479 |
Stefan Uhlenbrook | 54 | 232 | 9983 |
Joyeeta Gupta | 51 | 441 | 10586 |
Fulco Ludwig | 50 | 136 | 10480 |
Dimitri Solomatine | 50 | 221 | 7748 |
Eric D. van Hullebusch | 50 | 265 | 9030 |
Jan E. Vermaat | 49 | 145 | 6923 |