The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation
Abstract
The soil moisture dynamics under seasonally fixed conditions are studied at a point. The water balance is described through the representation of rainfall as a marked Poisson process which in turn produces an infiltration into the soil dependent on the existing level of soil moisture. The losses from the soil are due to evapotranspiration and leakage which are also considered dependent on the existing soil moisture. The steady–state probability distributions for soil moisture are then analytically obtained. The analysis of the distribution allows for the assessment of the role of climate, soil and vegetation on soil moisture dynamics. Further hydrologic insight is obtained by studying the various components of an average water balance. The realistic representation of the processes acting at a site and the analytical tractability of the model make it well suited for further analyses which consider the spatial aspect of soil moisture dynamics.
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Citations
Cites
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McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
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An African Savanna: Synthesis of the Nylsvley Study
Scholes, R. J., & Walker, B. H. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511565472 · Cited by 606
An African Savanna: Community and landscape pattern and change
Scholes, R. J., & Walker, B. H. (1993) · Cited by 443
An African Savanna: The key determinants: water, nutrients, fire and herbivory
Scholes, R. J., & Walker, B. H. (1993) · Cited by 443
Nonlinear Dynamics of Soil Moisture at Climate Scales: 2. Chaotic Analysis
Rodriguez-Iturbe, I., Entekhabi, D., Lee, J., & Bras, R. L. (1991) · Water Resources Research · doi:10.1029/91wr01036 · Cited by 156
Self-citationAnalytical framework for the characterization of the space-time variability of soil moisture
Entekhabi, D., & Rodriguez-Iturbe, I. (1994) · Advances in Water Resources · doi:10.1016/0309-1708(94)90022-1 · Cited by 143
Self-citationForest floor water content dynamics in a Douglas fir stand
Schaap, M. G., Bouten, W., & Verstraten, J. M. (1997) · Journal of Hydrology · doi:10.1016/s0022-1694(97)00047-4 · Cited by 88
The virtual waiting-time and related processes
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Soil Moisture Measurement for Ecological and Hydrological Watershed‐Scale Observatories: A Review
Robinson, D. A., Campbell, C. S., Hopmans, J. W., Hornbuckle, B. K., Jones, S. B., Knight, R., Ogden, F., Selker, J., & Wendroth, O. (2008) · Vadose Zone Journal · doi:10.2136/vzj2007.0143 · Cited by 1,154
Laio, F., Porporato, A., Ridolfi, L., & Rodriguez-Iturbe, I. (2001) · Advances in Water Resources · doi:10.1016/s0309-1708(01)00005-7 · Cited by 929
Self-citationOn the value of soil moisture measurements in vadose zone hydrology: A review
Vereecken, H., Huisman, J. A., Bogena, H., Vanderborght, J., Vrugt, J. A., & Hopmans, J. W. (2008) · Water Resources Research · doi:10.1029/2008wr006829 · Cited by 872
Soil Water Balance and Ecosystem Response to Climate Change
Porporato, A., Daly, E., & Rodriguez‐Iturbe, I. (2004) · The American Naturalist · doi:10.1086/424970 · Cited by 677
Self-citationPorporato, A., Laio, F., Ridolfi, L., & Rodriguez-Iturbe, I. (2001) · Advances in Water Resources · doi:10.1016/s0309-1708(01)00006-9 · Cited by 623
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Metadata
- Authors
- Rodriguez-Iturbe, I., Porporato, A., Ridolfi, L., Isham, V., & Coxi, D. R.
- Venue
- Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 1999-10-08
- Volume
- 455
- Issue
- 1990
- Pages
- 3789-3805
- ISSN
- 1364-5021 (ISSN-L)
- 1471-2946
- OpenAlex
- W2052054285
- Cited by
- 586
- References
- 10
- FWCI
- 18.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rodriguez-Iturbe, I., Porporato, A., Ridolfi, L., Isham, V., & Coxi, D. R. (1999). Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rspa.1999.0477
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
