Imperial College London

DrWouterBuytaert

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Reader in Hydrology and Water Resources
 
 
 
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Contact

 

+44 (0)20 7594 1329w.buytaert Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

403ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
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84 results found

Buytaert W, Moulds S, Acosta L, De Bièvre B, Olmos C, Villacis M, Tovar C, Verbist KMJet al., 2017, Glacier melt content of water use in the tropical Andes, Environmental Research Letters, ISSN: 1748-9326

Accelerated glaciers melt is expected to affect negatively the water resources of mountain regions and their adjacent lowlands, with tropical mountain regions being among the most vulnerable. In order to quantify those impacts, it is necessary to understand the changing dynamics of glacier melting, but also to map how glacier melt water contributes to current and future water use, which often occurs at considerable distance downstream of the glacier terminus. While the dynamics of tropical glacier melt are increasingly well understood and documented, major uncertainty remains on how tropical glacier meltwater contribution propagates through the hydrological system, and hence how it contributes to various types of human water use in downstream regions. Therefore, in this paper we present a detailed regional mapping of current water demand in regions downstream of the major tropical glaciers. We combine these maps with a regional water balance model to determine the dominant spatiotemporal patterns of glacier meltwater contribution to human water use at unprecedented scale and resolution. We find that the number of users relying continuously on water resources with a high (>25%) long-term average glacier melt contribution is low (391 000 domestic users, 398 km2 of irrigated land, and 11 MW of hydropower production). But this reliance increases sharply during drought conditions (up to 3.92 million domestic users, 2096 km2 of irrigated land, and 732 MW of hydropower production in the driest month of a drought year). A large share of domestic and agricultural users is located in rural regions where climate adaptation capacity tends to be low. Therefore, we suggest that adaptation strategies should focus on increasing the natural and artificial water storage and regulation capacity to bridge dry periods.

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Huss M, Bookhagen B, Huggel C, Jacobsen D, Bradley RS, Clague JJ, Vuille M, Buytaert W, Cayan DR, Greenwood G, Mark BG, Milner AM, Weingartner R, Winder Met al., 2017, Toward mountains without permanent snow and ice, EARTHS FUTURE, Vol: 5, Pages: 418-435, ISSN: 2328-4277

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Manz B, Páez-Bimos S, Horna N, Buytaert W, Ochoa-Tocachi B, Lavado-Casimiro W, Willems Bet al., 2017, Comparative ground validation of IMERG and TMPA at variable spatiotemporal scales in the tropical Andes, Journal of Hydrometeorology, Vol: 18, Pages: 2469-2489, ISSN: 1525-755X

© 2017 American Meteorological Society. An initial ground validation of the Integrated Multisatellite Retrievals for GPM (IMERG) Day-1 product from March 2014 to August 2015 is presented for the tropical Andes. IMERG was evaluated along with the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) against 302 quality-controlled rain gauges across Ecuador and Peru. Detection, quantitative estimation statistics, and probability distribution functions are calculated at different spatial (0.1°, 0.25°) and temporal (1 h, 3 h, daily) scales. Precipitation products are analyzed for hydrometeorologically distinct subregions. Results show that IMERG has a superior detection and quantitative rainfall intensity estimation ability than TMPA, particularly in the high Andes. Despite slightly weaker agreement of mean rainfall fields, IMERG shows better characterization of gauge observations when separating rainfall detection and rainfall rate estimation. At corresponding space-time scales, IMERG shows better estimation of gauge rainfall probability distributions than TMPA. However, IMERG shows no improvement in both rainfall detection and rainfall rate estimation along the dry Peruvian coastline, where major random and systematic errors persist. Further research is required to identify which rainfall intensities are missed or falsely detected and how errors can be attributed to specific satellite sensor retrievals. The satellite-gauge difference was associated with the point-area difference in spatial support between gauges and satellite precipitation products, particularly in areas with low and irregular gauge network coverage. Future satellite-gauge evaluations need to identify such locations and investigate more closely interpixel point-area differences before attributing uncertainties to satellite products.

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Mao F, Clark J, Karpouzoglou T, Dewulf A, Buytaert W, Hannah Det al., 2017, HESS Opinions: A conceptual framework for assessing socio-hydrological resilience under change, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 21, Pages: 3655-3670, ISSN: 1027-5606

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Ocio D, Le Vine N, Westerberg I, Pappenberger F, Buytaert Wet al., 2017, The role of rating curve uncertainty in real-time flood forecasting, WATER RESOURCES RESEARCH, Vol: 53, Pages: 4197-4213, ISSN: 0043-1397

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Zulkafli Z, Perez K, Vitolo C, Buytaert W, Karpouzoglou T, Dewulf A, De Bievre B, Clark J, Hannah DM, Shaheed Set al., 2017, User-driven design of decision support systems for polycentric environmental resources management, ENVIRONMENTAL MODELLING & SOFTWARE, Vol: 88, Pages: 58-73, ISSN: 1364-8152

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Almeida S, Le Vine N, McIntyre N, Wagener T, Buytaert Wet al., 2016, Accounting for dependencies in regionalized signatures for predictions in ungauged catchments, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 20, Pages: 887-901, ISSN: 1027-5606

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Blair P, Buytaert W, 2016, Socio-hydrological modelling: a review asking "why, what and how?", HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 20, Pages: 443-478, ISSN: 1027-5606

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Buytaert W, Dewulf A, De Bievre B, Clark J, Hannah DMet al., 2016, Citizen Science for Water Resources Management: Toward Polycentric Monitoring and Governance?, JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, Vol: 142, ISSN: 0733-9496

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Derin Y, Anagnostou E, Berne A, Borga M, Boudevillain B, Buytaert W, Chang C-H, Delrieu G, Hong Y, Hsu YC, Lavado-Casimiro W, Manz B, Moges S, Nikolopoulos EI, Sahlu D, Salerno F, Rodriguez-Sanchez J-P, Vergara HJ, Yilmaz KKet al., 2016, Multiregional Satellite Precipitation Products Evaluation over Complex Terrain, JOURNAL OF HYDROMETEOROLOGY, Vol: 17, Pages: 1817-1836, ISSN: 1525-755X

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Grainger S, Mao F, Buytaert W, 2016, Environmental data visualisation for non-scientific contexts: Literature review and design framework, ENVIRONMENTAL MODELLING & SOFTWARE, Vol: 85, Pages: 299-318, ISSN: 1364-8152

JOURNAL ARTICLE

Karpouzoglou T, Zulkafli Z, Grainger S, Dewulf A, Buytaert W, Hannah DMet al., 2016, Environmental Virtual Observatories (EVOs): prospects for knowledge co-creation and resilience in the Information Age, CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY, Vol: 18, Pages: 40-48, ISSN: 1877-3435

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Manz B, Buytaert W, Zulkafli Z, Lavado W, Willems B, Alberto Robles L, Rodriguez-Sanchez J-Pet al., 2016, High-resolution satellite-gauge merged precipitation climatologies of the Tropical Andes, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, Vol: 121, Pages: 1190-1207, ISSN: 2169-897X

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O'Keeffe J, Buytaert W, Mijic A, Brozovic N, Sinha Ret al., 2016, The use of semi-structured interviews for the characterisation of farmer irrigation practices, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 20, Pages: 1911-1924, ISSN: 1027-5606

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Ochoa-Tocachi BF, Buytaert W, De Bievre B, 2016, Regionalization of land-use impacts on streamflow using a network of paired catchments, WATER RESOURCES RESEARCH, Vol: 52, Pages: 6710-6729, ISSN: 0043-1397

JOURNAL ARTICLE

Ochoa-Tocachi BF, Buytaert W, De Bievre B, Celleri R, Crespo P, Villacis M, Llerena CA, Acosta L, Villazon M, Guallpa M, Gil-Rios J, Fuentes P, Olaya D, Vinas P, Rojas G, Arias Set al., 2016, Impacts of land use on the hydrological response of tropical Andean catchments, HYDROLOGICAL PROCESSES, Vol: 30, Pages: 4074-4089, ISSN: 0885-6087

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Pandeya B, Buytaert W, Zulkafli Z, Karpouzoglou T, Mao F, Hannah DMet al., 2016, A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions, ECOSYSTEM SERVICES, Vol: 22, Pages: 250-259, ISSN: 2212-0416

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Rodriguez-Lloveras X, Buytaert W, Benito G, 2016, Land use can offset climate change induced increases in erosion in Mediterranean watersheds, CATENA, Vol: 143, Pages: 244-255, ISSN: 0341-8162

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Vitolo C, Fry M, Buytaert W, 2016, rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive, R JOURNAL, Vol: 8, Pages: 102-116, ISSN: 2073-4859

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Vitolo C, Wells P, Dobias M, Buytaert Wet al., 2016, fuse: An R package for ensemble Hydrological Modelling, The Journal of Open Source Software, Vol: 1

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Zulkafli Z, Buytaert W, Manz B, Veliz Rosas C, Willems P, Lavado-Casimiro W, Guyot J-L, Santini Wet al., 2016, Projected increases in the annual flood pulse of the Western Amazon, ENVIRONMENTAL RESEARCH LETTERS, Vol: 11, ISSN: 1748-9326

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Moulds S, Buytaert W, Mijic A, 2015, An open and extensible framework for spatially explicit land use change modelling: the lulcc R package, GEOSCIENTIFIC MODEL DEVELOPMENT, Vol: 8, Pages: 3215-3229, ISSN: 1991-959X

JOURNAL ARTICLE

Nerini D, Zulkafli Z, Wang L-P, Onof C, Buytaert W, Lavado-Casimiro W, Guyot J-Let al., 2015, A Comparative Analysis of TRMM-Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall-Runoff Modeling Applications, JOURNAL OF HYDROMETEOROLOGY, Vol: 16, Pages: 2153-2168, ISSN: 1525-755X

JOURNAL ARTICLE

Vitolo C, Elkhatib Y, Reusser D, Macleod CJA, Buytaert Wet al., 2015, Web technologies for environmental Big Data, ENVIRONMENTAL MODELLING & SOFTWARE, Vol: 63, Pages: 185-198, ISSN: 1364-8152

JOURNAL ARTICLE

Buytaert W, Zulkafli Z, Grainger S, Acosta L, Alemie TC, Bastiaensen J, De Bièvre B, Bhusal J, Clark J, Dewulf A, Foggin M, Hannah DM, Hergarten C, Isaeva A, Karpouzoglou T, Pandeya B, Paudel D, Sharma K, Steenhuis T, Tilahun S, Van Hecken G, Zhumanova Met al., 2014, Citizen science in hydrology and water resources: Opportunities for knowledge generation, ecosystem service management, and sustainable development, Frontiers in Earth Science, Vol: 2

© 2014 Buytaert, Zulkafli, Grainger, Acosta, Alemie, Bastiaensen, De Bièvre, Bhusal, Clark, Dewulf, Foggin, Hannah, Hergarten, Isaeva, Karpouzoglou, Pandeya, Paudel, Sharma, Steenhuis, Tilahun, Van Hecken and Zhumanova. The participation of the general public in the research design, data collection and interpretation process together with scientists is often referred to as citizen science. While citizen science itself has existed since the start of scientific practice, developments in sensing technology, data processing and visualization, and communication of ideas and results, are creating a wide range of new opportunities for public participation in scientific research. This paper reviews the state of citizen science in a hydrological context and explores the potential of citizen science to complement more traditional ways of scientific data collection and knowledge generation for hydrological sciences and water resources management. Although hydrological data collection often involves advanced technology, the advent of robust, cheap, and low-maintenance sensing equipment provides unprecedented opportunities for data collection in a citizen science context. These data have a significant potential to create new hydrological knowledge, especially in relation to the characterization of process heterogeneity, remote regions, and human impacts on the water cycle. However, the nature and quality of data collected in citizen science experiments is potentially very different from those of traditional monitoring networks. This poses challenges in terms of their processing, interpretation, and use, especially with regard to assimilation of traditional knowledge, the quantification of uncertainties, and their role in decision support. It also requires care in designing citizen science projects such that the generated data complement optimally other available knowledge. Lastly, using 4 case studies from remote mountain regions we reflect on the challenges and oppo

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Exbrayat J-F, Buytaert W, Timbe E, Windhorst D, Breuer Let al., 2014, Addressing sources of uncertainty in runoff projections for a data scarce catchment in the Ecuadorian Andes, CLIMATIC CHANGE, Vol: 125, Pages: 221-235, ISSN: 0165-0009

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Hollaender HM, Bormann H, Blume T, Buytaert W, Chirico GB, Exbrayat J-F, Gustafsson D, Hoelzel H, Krausse T, Kraft P, Stoll S, Bloeschl G, Fluehler Het al., 2014, Impact of modellers' decisions on hydrological a priori predictions, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 18, Pages: 2065-2085, ISSN: 1027-5606

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McIntyre N, Ballard C, Bruen M, Bulygina N, Buytaert W, Cluckie I, Dunn S, Ehret U, Ewen J, Gelfan A, Hess T, Hughes D, Jackson B, Kjeldsen TR, Merz R, Park J-S, O'Connell E, O'Donnell G, Oudin L, Todini E, Wagener T, Wheater Het al., 2014, Modelling the hydrological impacts of rural land use change, HYDROLOGY RESEARCH, Vol: 45, Pages: 737-754, ISSN: 1998-9563

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Tsarouchi GM, Buytaert W, Mijic A, 2014, Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 18, Pages: 4223-4238, ISSN: 1027-5606

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Tsarouchi GM, Mijic A, Moulds S, Buytaert Wet al., 2014, Historical and future land-cover changes in the Upper Ganges basin of India, INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol: 35, Pages: 3150-3176, ISSN: 0143-1161

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