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122 results on '"Jakeman, A.J."'

6. Environmental decision support systems (EDSS) development – Challenges and best practices

Author

McIntosh, B.S., Ascough, J.C., II, Twery, M., Chew, J., Elmahdi, A., Haase, D., Harou, J.J., Hepting, D., Cuddy, S., Jakeman, A.J., Chen, S., Kassahun, A., Lautenbach, S., Matthews, K., Merritt, W., Quinn, N.W.T., Rodriguez-Roda, I., Sieber, S., Stavenga, M., Sulis, A., Ticehurst, J., Volk, M., Wrobel, M., van Delden, H., El-Sawah, S., Rizzoli, A., and Voinov, A.

Published
2011
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10. Chapter Two Good Modelling Practice

Author

Crout, N., Kokkonen, T., Jakeman, A.J., Norton, J.P., Newham, L.T.H., Anderson, R., Assaf, H., Croke, B.F.W., Gaber, N., Gibbons, J., Holzworth, D., Mysiak, J., Reichl, J., Seppelt, R., Wagener, T., and Whitfield, P.

Published
2008
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29. Integrated groundwater management: an overview of concepts and challenges

Author

Jakeman, A.J., Barreteau, O., Hunt, R.J., Rinaudo, J.D., Ross, A., Arshad, M., Hamilton, Stephen, UNIVERSITE NATIONALE AUSTRALIENNE CANBERRA AUS, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Gestion de l'Eau, Acteurs, Usages (UMR G-EAU), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut de Recherche pour le Développement (IRD), University of Wisconsin-Madison, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), and EDITH COWAN UNIVERSITY JOONDALUP AUS

Subjects
[SDE]Environmental Sciences
Abstract

International audience; Managing water is a grand challenge problem and has become one of humanity’s foremost priorities. Surface water resources are typically societally managed and relatively well understood; groundwater resources, however, are often hidden and more difficult to conceptualize. Replenishment rates of groundwater cannot match past and current rates of depletion in many parts of the world. In addition, declining quality of the remaining groundwater commonly cannot support all agricultural, industrial and urban demands and ecosystem functioning, especially in the developed world. In the developing world, it can fail to even meet essential human needs. The issue is: how do we manage this crucial resource in an acceptable way, one that considers the sustainability of the resource for future generations and the socioeconomic and environmental impacts? In many cases this means restoring aquifers of concern to some sustainable equilibrium over a negotiated period of time, and seeking opportunities for better managing groundwater conjunctively with surface water and other resource uses. However, there are many, often-interrelated, dimensions to managing groundwater effectively. Effective groundwater management is underpinned by sound science (biophysical and social) that actively engages the wider community and relevant stakeholders in the decision making process. Generally, an integrated approach will mean “thinking beyond the aquifer”, a view which considers the wider context of surface water links, catchment management and cross-sectoral issues with economics, energy, climate, agriculture and the environment. The aim of the book is to document for the first time the dimensions and requirements of sound integrated groundwater management (IGM). The primary focus is on groundwater management within its system, but integrates linkages beyond the aquifer. The book provides an encompassing synthesis for researchers, practitioners and water resource managers on the concepts and tools required for defensible IGM, including how IGM can be applied to achieve more sustainable socioeconomic and environmental outcomes, and key challenges of IGM. The book is divided into five parts: integration overview and problem settings; governance; socioeconomics; biophysical aspects; and modelling and decision support. However, IGM is integrated by definition, thus these divisions should be considered a convenience for presenting the topics rather than hard and fast demarcations of the topic area.

Published
2016

32. Complexity and uncertainty: rethinking the modelling activity

Author

Brugnach, M.F., Pahl-Wostl, C., Lindenschmidt, K.E., Janssen, J.A.E.B., Filatova, T., Mouton, A., Holtz, G., van der Keur, P., Gaber, N., Jakeman, A.J., Voinov, A.A., Rizzoli, A.E., Chen, S.H., Water Management, and Department of Governance and Technology for Sustainability

Published
2008

34. Building a community modelling and information sharing culture

Author

Voinov, A., Hood, R.R., Daues, J.D., Stewart, R., Jakeman, A.J., Voinov, A.A., [et al], ..., Department of Geo-information Processing, UT-I-ITC-STAMP, and Faculty of Geo-Information Science and Earth Observation

Subjects
ADLIB-ART-319
Published
2008

36. Workshop 8: Complexity and uncertainty and a new role for models

Author

Anastasio, Pedro, Brugnach, Marcela, Chiew, Francis, Filatova, Tatiana, Gray, Brian, Holtz, Georg, Lindenschmidt, Karl Erich, Marques, João Carlos, Pahl-Wostl, Claudia, Pardal, Miguel, Refsgaard, Jens Christian, Reichl, Julian, van der Keur, Peter, van der Veen, Anne, Verdelhos, Tiago, Voinov, A., Jakeman, A.J., Rizzoli, A.E., Water Management, and Department of Governance and Technology for Sustainability

Published
2006

37. Contributors

Author

Auty, K., Barlow, C., Bekessy, S.A., Bond, N., Brodie, J., Bunn, S.E., Campbell, I., Catford, J., Chong, J., Clarke, A., Davidson, D., Doolan, J., Eberhard, R., Fitzpatrick, C., Fu, B., Gippel, C., Guest, C., Hamilton, S.H., Hart, B.T., Horne, A., Jakeman, A.J., James, D., Kong, W.J., Leigh, C., Loo, S.E., McLoughlin, R., Meng, W., Parashar, A.K., Podger, G.M., Pollino, C.A., Qu, X.D., Rendell, R., Schirmer, J., Selinske, M.J., Speed, R., Stewardson, M.J., Tan, P.-L., Wallbrink, P.J., Waterhouse, J., Webb, A., Webb, J.A., White, S., and Zhang, Y.

Published
2017
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41. Estimation of possible climate change impacts on water availability, extreme flow events and...

Author

Schreider, S. Yu. and Jakeman, A.J.

Subjects
RAINFALL probabilities, WATERSHEDS, CLIMATE change
Abstract

Discusses the calibrations of the IHACRES rainfall-runoff model performed at nine rivers in Goulbourn Basin and five rivers contributing steamflow to the Ovens Basin in Victoria, Australia. Impact of climatic change on water availability for irrigation; Problem of estimating the impact of climate change on the probability of hydrological regime events.

Published
1996
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42. Prediction of monthly discharge in ungauged catchments under agricultural land use in the Upper Ping basin, northern Thailand

Author

Schreider, S.Yu., Jakeman, A.J., Gallant, J., and Merritt, W.S.

Subjects
*RUNOFF, *STREAMFLOW
Abstract

The present paper describes a methodology proposed for surface runoff modelling in gauged and ungauged subcatchments of northern Thailand. Gauged catchments are modelled using calibration against measured flow data, whereas streamflow in the ungauged subcatchments is simulated by a disaggregation procedure utilising measured streamflow data from a larger gauged catchment in which the ungauged subcatchment may be nested. The disaggregation technique is based on the assumption that the streamflow contribution from each subcatchment to the total catchment yield is proportional to a ratio of the catchment area and its average slope. The Mae Chaem catchment in the Upper Ping River basin was selected as a case study for applying the approach. The model testing performed in two subcatchments, where the modelled streamflow was compared with the measured data, showed that the first pass approach algorithm provides the accuracy of 13–17% of the relative error for the monthly time step. [Copyright &y& Elsevier]

Published
2002
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47. Preface

Author

Jakeman, A.J., Voinov, A.A., Chen, S.H., and Rizzoli, A.E.

Published
2008
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