A conceptual model of catchment water balance: 2. Application to runoff and baseflow modeling

Poncea, V.M.; Shetty, Ampar

doi:10.1016/0022-1694(95)02745-b

Cited by 27 publications

(44 citation statements)

References 6 publications

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“…According to Ponce and Shetty (1995) k is typically less than 0.2 for arid to semiarid regions and often greater than 0.5 in wet tropical regions. In order to derive a suitable value for the non-glacierized portion in the Llanganuco catchment, k is determined for the minimally glacierized (3.2%) catchment of Querococha.…”

Section: ð3þmentioning

confidence: 99%

“…The runoff coefficient k is defined as the ratio between direct runoff and precipitation, differing with climate (Ponce and Shetty, 1995) and surface cover (Gottschalk and Weingartner, 1998) within the range 0-1. According to Ponce and Shetty (1995) k is typically less than 0.2 for arid to semiarid regions and often greater than 0.5 in wet tropical regions.…”

Section: ð3þmentioning

confidence: 99%

See 1 more Smart Citation

Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Perú)

Juen

Kaser

Georges

2007

Global and Planetary Change

153

125

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Section: ð3þmentioning

confidence: 99%

Section: ð3þmentioning

confidence: 99%

Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Perú)

Juen

Kaser

Georges

2007

Global and Planetary Change

153

125

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“…Note that the descriptions of the broad functions defined by Black (1997) echo descriptions of similar broad‐scale processes provided by L’vovich (1979), such as wetting, drying, storage, discharge, and drainage. L’vovich (1979), and later Ponce and Shetty (1995a,b), viewed the overall function of the catchment as consisting of a competition between these processes, mediated by climatic and landscape properties, perhaps following some as yet undetermined rules of behavior. The classification system that we hope to develop must provide insight into this competition, as a way of comparing and contrasting catchments in different hydro‐climatic regions.…”

Section: A Perceptual Model Of Catchment Functionmentioning

confidence: 99%

Catchment Classification and Hydrologic Similarity

et al. 2007

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Hydrology does not yet possess a generally agreed upon catchment classification system. Such a classification framework should provide a mapping of landscape form and hydro‐climatic conditions on catchment function (including partition, storage, and release of water), while explicitly accounting for uncertainty and for variability at multiple temporal and spatial scales. This framework would provide an organizing principle, create a common language, guide modeling and measurement efforts, and provide constraints on predictions in ungauged basins, as well as on estimates of environmental change impacts. In this article, we (i) review existing approaches to define hydrologic similarity and to catchment classification; (ii) discuss outstanding components or characteristics that should be included in a classification scheme; and (iii) provide a basic framework for catchment classification as a starting point for further analysis. Possible metrics to describe form, hydro‐climate, and function are suggested and discussed. We close the discussion with a list of requirements for the classification framework and open questions that require addressing in order to fully implement it. Open questions include: How can we best represent characteristics of form and hydro‐climatic conditions? How does this representation change with spatial and temporal scale? What functions (partition, storage, and release) are relevant at what spatial and temporal scale? At what scale do internal structure and heterogeneity become important and need to be considered?

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“…In a companion paper [ Harman et al , 2011], this framework is used to understand the controls on sensitivity of water balance to interannual variations in precipitation. The framework used by both papers is built on previous work by L'vovich [1979] and Ponce and Shetty [1995a, 1995b]. Here we review previous approaches to water‐balance modeling in order to motivate the (re)introduction of this framework.…”

Section: Introductionmentioning

confidence: 99%

“…According to this theory, in the first stage, precipitation is partitioned into wetting (of canopy, litter, and soil) and quick flow (e.g., surface runoff), whereas in the second stage the wetting is further partitioned into vaporization (interception loss plus evaporation plus transpiration) and slow flow (e.g., subsurface runoff). The original work of L'vovich [1979] and subsequent work by Ponce and Shetty [1995a, 1995b] theorized that the partitioning at each stage is in the form of a competition between different catchment functions, which are expressible in terms of common mathematical forms that can be extracted from data. L'vovich [1979] implemented this approach in a large number of catchments located in a variety of ecoregions of the world and presented his results in the form of nomographs.…”

Section: Introductionmentioning

confidence: 99%

Functional model of water balance variability at the catchment scale: 1. Evidence of hydrologic similarity and space‐time symmetry

Sivapalan

Yaeger

Harman

et al. 2011

Water Resources Research

139

210

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[1] This paper presents analysis of annual water balance variability, (1) regional (betweencatchment) variability and (2) between-year (interannual) variability and the symmetry between the two. This involved analysis of the annual water balance in terms of a two-stage partitioning, first, of annual precipitation into quick flow and soil wetting and, subsequently, of the resulting soil wetting into slow flow and vaporization. The nature of this water balance partitioning is explored by completing the above analysis in 377 Model Parameter Estimation Experiment (MOPEX) catchments located across the continental United States. We fitted analytical functional relationships to the partitioning at each stage, producing expressions for the three components of quick flow, slow flow, and vaporization. They indicate that the heterogeneity of water balance partitioning among the MOPEX catchments is underlain by a universal relationship that is transferable regionally. Key nondimensional similarity parameters are identified that serve to connect this invariant regional relationship to site-specific response characteristics. These nondimensional formulations are extended to derive analytical expressions for several common metrics of annual water balance. The ability of the functional theory to predict regional patterns of mean annual water balance and interannual variability in individual catchments is assessed. Our analyses show a close symmetry between spatial (regional) variability of mean annual water balances and general trends of temporal (interannual) variability. The suggested functional theory can thus be the basis for data-based assessments of hydrologic similarity and used to assist with predictions of the effects of long-term climate variability and change, through providing a theoretical framework for ''space for time'' substitutions.

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A conceptual model of catchment water balance: 2. Application to runoff and baseflow modeling

Cited by 27 publications

References 6 publications

Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Perú)

Modelling observed and future runoff from a glacierized tropical catchment (Cordillera Blanca, Perú)

Catchment Classification and Hydrologic Similarity

Functional model of water balance variability at the catchment scale: 1. Evidence of hydrologic similarity and space‐time symmetry

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