Home > Research > Publications & Outputs > L'unicité de lieu, d'action et de temps

Links

Text available via DOI:

View graph of relations

L'unicité de lieu, d'action et de temps

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

L'unicité de lieu, d'action et de temps. / Beven, Keith; Musy, André; Higy, Christophe.
In: Revue des Sciences de l'Eau, Vol. 14, No. 4, 12.2001, p. 525-533.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Beven, K, Musy, A & Higy, C 2001, 'L'unicité de lieu, d'action et de temps', Revue des Sciences de l'Eau, vol. 14, no. 4, pp. 525-533. https://doi.org/10.7202/705431ar

APA

Beven, K., Musy, A., & Higy, C. (2001). L'unicité de lieu, d'action et de temps. Revue des Sciences de l'Eau, 14(4), 525-533. https://doi.org/10.7202/705431ar

Vancouver

Beven K, Musy A, Higy C. L'unicité de lieu, d'action et de temps. Revue des Sciences de l'Eau. 2001 Dec;14(4):525-533. doi: https://doi.org/10.7202/705431ar

Author

Beven, Keith ; Musy, André ; Higy, Christophe. / L'unicité de lieu, d'action et de temps. In: Revue des Sciences de l'Eau. 2001 ; Vol. 14, No. 4. pp. 525-533.

Bibtex

@article{1a4d22c6514149e587594e1ff6877359,
title = "L'unicit{\'e} de lieu, d'action et de temps",
abstract = "Tribune Libre: The uniqueness of place, action and timeWe recently had the pleasure of re-reading the Tribunes Libres of Ghislain de MARSILY (1994) and Jacques GANOULIS (1996), especially their discussions of a new typology for hydrological models and the analysis of uncertainty. It appears, however, that some confusion and alternative interpretations of hydrological modelling still persist. It is therefore important, notwithstanding our agreement with many of the authors' points, to re-examine some aspects of hydrological modelling in order to clarify certain ambiguities.A distinction made by de MARSILY, between models conditioned by observable phenomena and the physically-based models employed when no phenomena have been observed, invites criticism in terms of the practices to which it leads. GANOULIS' argument, that physically-based models can provide a viable description of processes if differing spatial and temporal empirical coefficients are used, does not stand up to a detailed analysis of the effects of scale. In other words, the issues addressed by these authors arise from the impossibility of using purely physically-based modelling in practical applications due to the difficulty of taking into account and transcribing the characteristics and unique behaviour of each unit of landscape or sub-catchment. To this we can now respond that there are now other lines of thought concerning what are known as physically-based models.Where distributed modelling is concerned, that all places have unique characteristics is a geographical aphorism. The fact remains that the limitations of modelling, expressed by de MARSILY (1994) as the three principles of uniqueness of place, action and time, can be better defined by performing more detailed analysis in the context of uniqueness. Uniqueness limitations partly explain the wide-ranging developments in modelling in respect of both the theory and tools specific to particular applications. One cannot help but notice that expectations of quantitative prediction in hydrology have increased in parallel with the availability and power of computers. This evolution, however, is essentially due to technological advances rather than real scientific progress. Why? Principally, because of the unique characteristics of catchments: in our view, catchments transcend all available theories concerned with hydrological modelling. Moreover, this does not change if better physical hypotheses are proposed, nor if predictions are made for the variables or {"}non-observable phenomena{"} discussed by de MARSILY.In this paper, we address these questions and suggest a relevant approach to hydrological modelling for taking into account the unique character of catchments.",
author = "Keith Beven and Andr{\'e} Musy and Christophe Higy",
year = "2001",
month = dec,
doi = "https://doi.org/10.7202/705431ar",
language = "French",
volume = "14",
pages = "525--533",
journal = "Revue des Sciences de l'Eau",
issn = "0992-7158",
publisher = "Institut National de la Research Scientifique",
number = "4",

}

RIS

TY - JOUR

T1 - L'unicité de lieu, d'action et de temps

AU - Beven, Keith

AU - Musy, André

AU - Higy, Christophe

PY - 2001/12

Y1 - 2001/12

N2 - Tribune Libre: The uniqueness of place, action and timeWe recently had the pleasure of re-reading the Tribunes Libres of Ghislain de MARSILY (1994) and Jacques GANOULIS (1996), especially their discussions of a new typology for hydrological models and the analysis of uncertainty. It appears, however, that some confusion and alternative interpretations of hydrological modelling still persist. It is therefore important, notwithstanding our agreement with many of the authors' points, to re-examine some aspects of hydrological modelling in order to clarify certain ambiguities.A distinction made by de MARSILY, between models conditioned by observable phenomena and the physically-based models employed when no phenomena have been observed, invites criticism in terms of the practices to which it leads. GANOULIS' argument, that physically-based models can provide a viable description of processes if differing spatial and temporal empirical coefficients are used, does not stand up to a detailed analysis of the effects of scale. In other words, the issues addressed by these authors arise from the impossibility of using purely physically-based modelling in practical applications due to the difficulty of taking into account and transcribing the characteristics and unique behaviour of each unit of landscape or sub-catchment. To this we can now respond that there are now other lines of thought concerning what are known as physically-based models.Where distributed modelling is concerned, that all places have unique characteristics is a geographical aphorism. The fact remains that the limitations of modelling, expressed by de MARSILY (1994) as the three principles of uniqueness of place, action and time, can be better defined by performing more detailed analysis in the context of uniqueness. Uniqueness limitations partly explain the wide-ranging developments in modelling in respect of both the theory and tools specific to particular applications. One cannot help but notice that expectations of quantitative prediction in hydrology have increased in parallel with the availability and power of computers. This evolution, however, is essentially due to technological advances rather than real scientific progress. Why? Principally, because of the unique characteristics of catchments: in our view, catchments transcend all available theories concerned with hydrological modelling. Moreover, this does not change if better physical hypotheses are proposed, nor if predictions are made for the variables or "non-observable phenomena" discussed by de MARSILY.In this paper, we address these questions and suggest a relevant approach to hydrological modelling for taking into account the unique character of catchments.

AB - Tribune Libre: The uniqueness of place, action and timeWe recently had the pleasure of re-reading the Tribunes Libres of Ghislain de MARSILY (1994) and Jacques GANOULIS (1996), especially their discussions of a new typology for hydrological models and the analysis of uncertainty. It appears, however, that some confusion and alternative interpretations of hydrological modelling still persist. It is therefore important, notwithstanding our agreement with many of the authors' points, to re-examine some aspects of hydrological modelling in order to clarify certain ambiguities.A distinction made by de MARSILY, between models conditioned by observable phenomena and the physically-based models employed when no phenomena have been observed, invites criticism in terms of the practices to which it leads. GANOULIS' argument, that physically-based models can provide a viable description of processes if differing spatial and temporal empirical coefficients are used, does not stand up to a detailed analysis of the effects of scale. In other words, the issues addressed by these authors arise from the impossibility of using purely physically-based modelling in practical applications due to the difficulty of taking into account and transcribing the characteristics and unique behaviour of each unit of landscape or sub-catchment. To this we can now respond that there are now other lines of thought concerning what are known as physically-based models.Where distributed modelling is concerned, that all places have unique characteristics is a geographical aphorism. The fact remains that the limitations of modelling, expressed by de MARSILY (1994) as the three principles of uniqueness of place, action and time, can be better defined by performing more detailed analysis in the context of uniqueness. Uniqueness limitations partly explain the wide-ranging developments in modelling in respect of both the theory and tools specific to particular applications. One cannot help but notice that expectations of quantitative prediction in hydrology have increased in parallel with the availability and power of computers. This evolution, however, is essentially due to technological advances rather than real scientific progress. Why? Principally, because of the unique characteristics of catchments: in our view, catchments transcend all available theories concerned with hydrological modelling. Moreover, this does not change if better physical hypotheses are proposed, nor if predictions are made for the variables or "non-observable phenomena" discussed by de MARSILY.In this paper, we address these questions and suggest a relevant approach to hydrological modelling for taking into account the unique character of catchments.

U2 - https://doi.org/10.7202/705431ar

DO - https://doi.org/10.7202/705431ar

M3 - Journal article

AN - SCOPUS:0035758227

VL - 14

SP - 525

EP - 533

JO - Revue des Sciences de l'Eau

JF - Revue des Sciences de l'Eau

SN - 0992-7158

IS - 4

ER -