The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d’appel variable de l’hydrologie du bassin versant
Open accessAbstract
A hydrological forecasting model is presented that attempts to combine the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple lumped parameter basin models. Quick response flow is predicted from a storage/contributing area relationship derived analytically from the topographic structure of a unit within a basin. Average soil water response is represented by a constant leakage infiltration store and an exponential subsurface water store. A simple non-linear routing procedure related to the link frequency distribution of the channel network completes the model and allows distinct basin sub-units, such as headwater and sideslope areas to be modelled separately. The model parameters are physically based in the sense that they may be determined directly by measurement and the model may be used at ungauged sites. Procedures for applying the model and tests with data from the Crimple Beck basin are described. Using only measured and estimated parameter values, without optimization, the model makes satisfactory predictions of basin response. The modular form of the model structure should allow application over a range of small and medium sized basins while retaining the possibility of including more complex model components when suitable data are available.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This index, commonly used in environmental assessments, underscores the flood risks associated with these areas [67].”
From Urban Flood Vulnerability Assessment in Freetown, Sierra Leone: AHP Approach (2024) · cites this paper as [67]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chow, V. T. (2010) · Cited by 3,340
The Rôle of infiltration in the hydrologic cycle
Horton, R. (1933) · Transactions American Geophysical Union · doi:10.1029/tr014i001p00446 · Cited by 1,828
Partial Area Contributions to Storm Runoff in a Small New England Watershed
Dunne, T., & Black, R. D. (1970) · Water Resources Research · doi:10.1029/wr006i005p01296 · Cited by 1,191
A stochastic‐conceptual analysis of one‐dimensional groundwater flow in nonuniform homogeneous media
Freeze, R. A. (1975) · Water Resources Research · doi:10.1029/wr011i005p00725 · Cited by 1,011
The form of the instantaneous unit hydrograph
Nash, J. E. (1957) · NERC Open Research Archive (Natural Environment Research Council) · Cited by 676
A general theory of the unit hydrograph
Dooge, J. C. I. (1959) · Journal of Geophysical Research Atmospheres · doi:10.1029/jz064i002p00241 · Cited by 453
Betson, R. P. (1964) · Journal of Geophysical Research Atmospheres · doi:10.1029/jz069i008p01541 · Cited by 444
Role of subsurface flow in generating surface runoff: 2. Upstream source areas
Freeze, R. A. (1972) · Water Resources Research · doi:10.1029/wr008i005p01272 · Cited by 373
Storage and the Unit Hydrograph
Clark, C. O. (1945) · Transactions of the American Society of Civil Engineers · doi:10.1061/taceat.0005800 · Cited by 359
Spatial analysis in geomorphology
Krumbein, W. C. (1973) · Earth-Science Reviews · doi:10.1016/0012-8252(73)90079-2 · Cited by 345
Research works printed but not linked: 16
- Beven K.J., 1975, A deterministic, spatially distributed model of catchment hydrology. Unpublished Ph D thesis, School of Environmental Sciences, University of East Anglia.
- Beven K.J., 1976, Working Paper 146, School of Geography, University of Leeds.
- Beven K.J., 1976, Working Paper 154, School of Geography, University of Leeds.
- Douglas J.R., 1974, Report No. 24, Institute of Hydrology, Wallingford.
- Dunne T., 1975, Hydrol. Sci. Bull., 20, 305
- Freeze R.A., 1972, Wat. Resour. Res. 8 (5), 1272.
- Harris G., 1975, Working Paper No. 102, School of Geography, University of Leeds.
- Kirkby M.J., 1969, Water, Earth and Man, 215
- Kirkby M.J., 1974, Seminar Paper Series B, No. 3, Department of Geography, University of Bristol.
- Kirkby M.J., 1976, Working Paper No. 167, School of Geography, University of Leeds.
- Knapp B.J., 1974, Fluvial Processes in Instrumented Watersheds
- Lambert A.O., 1969, J. Instn Wat. Engrs, 23, 231
- Lambert A.O., 1972, J. Instn Wat. Engrs, 26
- Nash J.E., 1957, General Assembly of Toronto, Vol. III Surface Waters, Prevision, Evaporation, 114
- 1975, Flood Studies Report.
- Plinston D.T., 1971, Symposium on mathematic models in ecology
Cited by
Sorted by citations
Items 401–500 of 1,006
Topographic position affects the water regime in a semideciduous tropical forest in Panamá
Daws, M. I., Mullins, C. E., Burslem, D. F. R. P., Paton, S. R., & Dalling, J. W. (2002) · Plant and Soil · doi:10.1023/a:1014289930621 · Cited by 187
Dag Lohmann, A., Lettenmaier, D. P., Liang, X., Wood, E. F., Boone, A. A., Chang, S. S., Chen, F., Dai, Y., Desborough, C. E., Dickinson, R. E., et al. (1998) · Global and Planetary Change · doi:10.1016/s0921-8181(98)00046-0 · Cited by 187
Mechanistic Simulation of Tree Effects in an Urban Water Balance Model1
Wang, J., Endreny, T. A., & Nowak, D. J. (2008) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.2007.00139.x · Cited by 186
King, R., Baker, M., Kazyak, P., & Weller, D. (2011) · Ecological Applications · doi:10.1890/10-1357.1 · Cited by 193
Adler, R. F., Huffman, G. J., Chang, A. T. C., Ferraro, R. R., Xie, P., Janowiak, J. E., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., et al. (2003) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2003)004 · Cited by 5,422
Landslide susceptibility mapping of the Sera River Basin using logistic regression model
Raja, N., Çiçek, I., Türkoğlu, N., Aydın, O., & Kawasaki, A. (2017) · Natural Hazards · doi:10.1007/s11069-016-2591-7 · Cited by 158
Runoff Production and Flood Frequency in Catchments of Order n: An Alternative Approach
Beven, K. J. (1986) · Water science and technology library · doi:10.1007/978-94-009-4678-1_6 · Cited by 186
Self-citationXin, Z., Qin, Y., & Yu, X. (2015) · CATENA · doi:10.1016/j.catena.2015.01.028 · Cited by 185
Thompson, S., Harman, C. J., Troch, P. A., Brooks, P. D., & Sivapalan, M. (2011) · Water Resources Research · doi:10.1029/2010wr009998 · Cited by 185
Global patterns of water storage in the rooting zones of vegetation
Stocker, B. D., Tumber‐Dávila, S. J., Konings, A. G., Anderson, M. C., Hain, C., & Jackson, R. B. (2023) · Nature Geoscience · doi:10.1038/s41561-023-01125-2 · Cited by 185
An approach to computing topographic wetness index based on maximum downslope gradient
Qin, C., Zhu, A., Pei, T., Li, B., Scholten, T., Behrens, T., & Zhou, C. (2009) · Precision Agriculture · doi:10.1007/s11119-009-9152-y · Cited by 184
Pourghasemi, H. R., & Beheshtirad, M. (2014) · Geocarto International · doi:10.1080/10106049.2014.966161 · Cited by 184
Pei, T., Qin, C., Zhu, A., Yang, L., Luo, M., Li, B., & Zhou, C. (2009) · Ecological Indicators · doi:10.1016/j.ecolind.2009.10.005 · Cited by 184
Freer, J. E., McMillan, H., McDonnell, J. J., & Beven, K. J. (2004) · Journal of Hydrology · doi:10.1016/j.jhydrol.2003.12.037 · Cited by 184
Self-citationChang, K.-T., Chiang, S., & Hsu, M.-L. (2007) · Geomorphology · doi:10.1016/j.geomorph.2006.12.011 · Cited by 183
Hasekioğullari, G. D., & Ercanoğlu, M. (2012) · Natural Hazards · doi:10.1007/s11069-012-0218-1 · Cited by 183
Reinecke, R., Schmied, H. M., Trautmann, T., Burek, P., Flörke, M., Gosling, S. N., Grillakis, M. G., Hanasaki, N., Koutroulis, A., POKHREL, Y. N., et al. (2021) · Hydrology and earth system sciences · doi:10.5194/hess-25-787-2021 · Cited by 197
The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations
Walters, D., Williams, K. D., Boutle, I., Bushell, A. C., Edwards, J., Field, P. R., Lock, A. P., Morcrette, C. J., Stratton, R. A., Wilkinson, J. M., et al. (2014) · Geoscientific model development · doi:10.5194/gmd-7-361-2014 · Cited by 182
Lombardo, L., Cama, M., Conoscenti, C., Maerker, M., & Rotigliano, E. (2015) · Natural Hazards · doi:10.1007/s11069-015-1915-3 · Cited by 183
Forest ecosystem processes at the watershed scale: basis for distributed simulation
Band, L. E., Peterson, D. L., Running, S. W., Coughlan, J. C., Lammers, R. B., Dungan, J., & Nemani, R. (1991) · Ecological Modelling · doi:10.1016/0304-3800(91)90199-b · Cited by 183
Desmet, P., & Govers, G. (1996) · International Journal of Geographical Information Systems · doi:10.1080/02693799608902081 · Cited by 183
Hornberger, G. M., Beven, K. J., Cosby, B. J., & Sappington, D. E. (1985) · Water Resources Research · doi:10.1029/wr021i012p01841 · Cited by 183
Self-citationGómez‐Gutiérrez, Á., Conoscenti, C., Angileri, S. E., Rotigliano, E., & Schnabel, S. (2015) · Natural Hazards · doi:10.1007/s11069-015-1703-0 · Cited by 182
Youssef, A. M., Pradhan, B., Jebur, M. N., & El-Harbi, H. M. (2014) · Environmental Earth Sciences · doi:10.1007/s12665-014-3661-3 · Cited by 182
Booker, D. J., & Woods, R. A. (2013) · Journal of Hydrology · doi:10.1016/j.jhydrol.2013.11.007 · Cited by 183
Modelling the impact of predicted climate change on landslide frequency and magnitude in SE England
Collison, A. J. C., Wade, S. D., Griffiths, J., & Dehn, M. (2000) · Engineering Geology · doi:10.1016/s0013-7952(99)00121-0 · Cited by 182
Urban flood susceptibility assessment based on convolutional neural networks
Zhao, G., Pang, B., Xu, Z., Peng, D., & Zuo, D. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.125235 · Cited by 183
Kavzoğlu, T., & Teke, A. (2022) · Bulletin of Engineering Geology and the Environment · doi:10.1007/s10064-022-02708-w · Cited by 182
Sala, A., & Tenhunen, J. (1996) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(95)02250-3 · Cited by 182
Franks, S. W., Beven, K. J., Quinn, P. F., & Wright, I. R. (1997) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(96)02421-5 · Cited by 182
Self-citationYılmaz, I. (2009) · Environmental Earth Sciences · doi:10.1007/s12665-009-0191-5 · Cited by 181
Towards globally customizable ecosystem service models
Martínez‐López, J., Bagstad, K. J., Balbi, S., Magrach, A., Voigt, B., Athanasiadis, I. N., Pascual, M., Willcock, S., & Villa, F. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.09.371 · Cited by 183
How does modifying a DEM to reflect known hydrology affect subsequent terrain analysis?
Callow, N., Niel, K. P. V., & Boggs, G. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2006.06.020 · Cited by 181
Regionalization of transit time estimates in montane catchments by integrating landscape controls
Hrachowitz, M., Soulsby, C., Tetzlaff, D., Dawson, J. J. C., & Malcolm, I. A. (2009) · Water Resources Research · doi:10.1029/2008wr007496 · Cited by 180
Incorporating variable source area hydrology into a curve‐number‐based watershed model
Schneiderman, E. M., Steenhuis, T. S., Thongs, D., Easton, Z. M., Zion, M. S., Neal, A. L., Mendoza, G., & Walter, M. T. (2007) · Hydrological Processes · doi:10.1002/hyp.6556 · Cited by 180
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Arabameri, A., Saha, S., Chen, W., Roy, J., Pradhan, B., & Bui, D. T. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.125007 · Cited by 180
Spatial variability of soil water content in the covered catchment at Gårdsjön, Sweden
Nyberg, L. (1996) · Hydrological Processes · doi:10.1002/(sici)1099-1085(199601)10:1 · Cited by 180
Beck, P., Goetz, S., Mack, M., Alexander, H., Jin, Y., Randerson, J., & Loranty, M. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02412.x · Cited by 186
Merghadi, A., Boumezbeur, A., & Bui, D. T. (2018) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi7070268 · Cited by 179
Choi, H. T., & Beven, K. J. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2006.07.012 · Cited by 178
Self-citationCatchment properties, function, and conceptual model representation: is there a correspondence?
Fenicia, F., Kavetski, D., Savenije, H. H. G., Clark, M., Schoups, G., Pfister, L., & Freer, J. E. (2013) · Hydrological Processes · doi:10.1002/hyp.9726 · Cited by 178
İban, M. C., & Şekertekin, A. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101647 · Cited by 194
Park, H., Lee, J., & Woo, I. (2013) · Engineering Geology · doi:10.1016/j.enggeo.2013.04.011 · Cited by 177
Chen, W., Sun, Z., & Han, J. (2019) · Applied Sciences · doi:10.3390/app9010171 · Cited by 177
Comparison of machine learning models for gully erosion susceptibility mapping
Arabameri, A., Chen, W., Loche, M., Zhao, X., Li, Y., Lombardo, L., Cerdà, A., Pradhan, B., & Bui, D. T. (2019) · Geoscience Frontiers · doi:10.1016/j.gsf.2019.11.009 · Cited by 177
Walsh, S. J., Butler, D. R., & Malanson, G. P. (1998) · Geomorphology · doi:10.1016/s0169-555x(97)00057-3 · Cited by 177
A framework for classifying and comparing distributed hillslope and catchment hydrologic models
Kampf, S. K., & Burges, S. J. (2007) · Water Resources Research · doi:10.1029/2006wr005370 · Cited by 176
Clark, M., Rupp, D. E., Woods, R. A., van Meerveld, I., Peters, N. E., & Freer, J. E. (2008) · Hydrological Processes · doi:10.1002/hyp.7154 · Cited by 176
Evaluating digital terrain indices for soil wetness mapping – a Swedish case study
Ågren, A. M., Lidberg, W., Strömgren, M., Ogilvie, J., & Arp, P. A. (2014) · Hydrology and earth system sciences · doi:10.5194/hess-18-3623-2014 · Cited by 176
Althuwaynee, O. F., Pradhan, B., Park, H., & Lee, J. (2014) · Landslides · doi:10.1007/s10346-014-0466-0 · Cited by 176
Comparison of DEM Data Capture and Topographic Wetness Indices
Schmidt, F. N., & Persson, A. (2003) · Precision Agriculture · doi:10.1023/a:1024509322709 · Cited by 175
High resolution 3D mapping of soil organic carbon in a heterogeneous agricultural landscape
Lacoste, M., Minasny, B., McBratney, A. B., Michot, D., Viaud, V., & Walter, C. A. (2013) · Geoderma · doi:10.1016/j.geoderma.2013.07.002 · Cited by 180
Flood hazard mapping in Jamaica using principal component analysis and logistic regression
Nandi, A., Mandal, A., Wilson, M. D., & Smith, D. (2016) · Environmental Earth Sciences · doi:10.1007/s12665-016-5323-0 · Cited by 175
Shahabi, H., Shirzadi, A., Ronoud, S., Asadi, S., Pham, B. T., Mansouripour, F., Geertsema, M., Clague, J. J., & Bui, D. T. (2020) · Geoscience Frontiers · doi:10.1016/j.gsf.2020.10.007 · Cited by 176
Mandal, K., Saha, S., & Mandal, S. (2021) · Geoscience Frontiers · doi:10.1016/j.gsf.2021.101203 · Cited by 182
Lamb, R., Beven, K. J., & Myrabø, S. (1998) · Advances in Water Resources · doi:10.1016/s0309-1708(98)00020-7 · Cited by 174
Self-citationGhosh, S., Carranza, E. J. M., van Westen, C. J., Jetten, V. G., & Bhattacharya, D. N. (2011) · Geomorphology · doi:10.1016/j.geomorph.2011.04.019 · Cited by 174
Gharari, S., Hrachowitz, M., Fenicia, F., & Savenije, H. H. G. (2011) · Hydrology and earth system sciences · doi:10.5194/hess-15-3275-2011 · Cited by 174
Snow redistribution for the hydrological modeling of alpine catchments
Freudiger, D., Kohn, I., Seibert, J., Stahl, K., & Weiler, M. (2017) · Wiley Interdisciplinary Reviews Water · doi:10.1002/wat2.1232 · Cited by 174
An adaptive approach to selecting a flow‐partition exponent for a multiple‐flow‐direction algorithm
Qin, C., Zhu, A. ‐., Pei, T., Li, B., Zhou, C., & Yang, L. (2007) · International Journal of Geographical Information Systems · doi:10.1080/13658810601073240 · Cited by 173
Sobol′’s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China
Zhang, C., Chu, J., & Fu, G. (2012) · Journal of Hydrology · doi:10.1016/j.jhydrol.2012.12.005 · Cited by 174
Gao, H., Hrachowitz, M., Fenicia, F., Gharari, S., & Savenije, H. H. G. (2014) · Hydrology and earth system sciences · doi:10.5194/hess-18-1895-2014 · Cited by 173
Lyon, S. W., Walter, M. T., Gerard-Marchant, P., & Steenhuis, T. S. (2004) · Hydrological Processes · doi:10.1002/hyp.1494 · Cited by 173
Felfelani, F., Wada, Y., Longuevergne, L., & POKHREL, Y. N. (2017) · Journal of Hydrology · doi:10.1016/j.jhydrol.2017.07.048 · Cited by 173
Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling
Vereecken, H., Weihermüller, L., Assouline, S., Šimůnek, J., Verhoef, A., Herbst, M., Archer, N. A. L., Mohanty, B. P., Montzka, C., Vanderborght, J., et al. (2019) · Vadose Zone Journal · doi:10.2136/vzj2018.10.0191 · Cited by 177
Conoscenti, C., Ciaccio, M., Caraballo-Arias, N. A., Gómez‐Gutiérrez, Á., Rotigliano, E., & Agnesi, V. (2014) · Geomorphology · doi:10.1016/j.geomorph.2014.09.020 · Cited by 172
Hydrologic coupling of slopes, riparian zones and streams: an example from the Canadian Shield
Buttle, J. M., Dillon, P., & Eerkes, G. R. (2003) · Journal of Hydrology · doi:10.1016/j.jhydrol.2003.09.022 · Cited by 172
Matasci, G., Hermosilla, T., Wulder, M. A., White, J. C., Coops, N. C., Hobart, G. W., Bolton, D. K., Tompalski, P., & Bater, C. W. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.07.024 · Cited by 175
Using topographic wetness index in vegetation ecology: does the algorithm matter?
Kopecký, M., & Čížková, S. (2010) · Applied Vegetation Science · doi:10.1111/j.1654-109x.2010.01083.x · Cited by 171
Effects of local factors on plant species richness and composition of Alpine meadows
Marini, L., Scotton, M., Klimek, S., Isselstein, J., & Pecile, A. (2006) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2006.07.015 · Cited by 181
Ocampo-López, C., Sivapalan, M., & Oldham, C. E. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2006.06.010 · Cited by 171
A model for hydraulic redistribution incorporating coupled soil-root moisture transport
Amenu, G. G., & Kumar, P. (2008) · Hydrology and earth system sciences · doi:10.5194/hess-12-55-2008 · Cited by 177
Li, W., Lin, K., Zhao, T., Lan, T., Chen, X., Du, H., & Chen, H. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.03.002 · Cited by 171
Liu, Y., Gong, W., Xing, Y., Hu, X., & Gong, J. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.03.016 · Cited by 174
Kendall, K. A., Shanley, J. B., & McDonnell, J. J. (1999) · Journal of Hydrology · doi:10.1016/s0022-1694(99)00059-1 · Cited by 171
Controls on runoff generation and scale-dependence in a distributed hydrologic model
Vivoni, E. R., Entekhabi, D., Bras, R. L., & Ivanov, V. Y. (2007) · Hydrology and earth system sciences · doi:10.5194/hess-11-1683-2007 · Cited by 170
Dauber, J., Purtauf, T., Allspach, A., Frisch, J., Voigtländer, K., & Wolters, V. (2005) · Global Ecology and Biogeography · doi:10.1111/j.1466-822x.2005.00150.x · Cited by 170
Gharari, S., Hrachowitz, M., Fenicia, F., Gao, H., & Savenije, H. H. G. (2014) · Hydrology and earth system sciences · doi:10.5194/hess-18-4839-2014 · Cited by 170
Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
Shaman, J. L., Stieglitz, M., Stark, C. P., Blancq, S. M. L., & Cane, M. A. (2002) · Emerging infectious diseases · doi:10.3201/eid0801.010049 · Cited by 171
The application of classification tree analysis to soil type prediction in a desert landscape
Scull, P. R., Franklin, J., & Chadwick, O. A. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2004.06.036 · Cited by 169
Lopatin, J., Dološ, K., Hernández, H. J., Galleguillos, M., & Fassnacht, F. E. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.11.029 · Cited by 169
A network‐index‐based version of TOPMODEL for use with high‐resolution digital topographic data
Lane, S. N., Brookes, C. J., Kirkby, M. J., & Holden, J. (2004) · Hydrological Processes · doi:10.1002/hyp.5208 · Cited by 169
Self-citationMAPPING FUELS AND FIRE REGIMES USING REMOTE SENSING, ECOSYSTEM SIMULATION, AND GRADIENT MODELING
Rollins, M. G., Keane, R. E., & Parsons, R. A. (2004) · Ecological Applications · doi:10.1890/02-5145 · Cited by 168
A dynamic model of wetland extent and peat accumulation: results for the Holocene
Kleinen, T., Brovkin, V. A., & Schuldt, R. J. (2012) · Biogeosciences · doi:10.5194/bg-9-235-2012 · Cited by 168
Groundwater dynamics along a hillslope: A test of the steady state hypothesis
Seibert, J., Bishop, K., Rodhe, A., & McDonnell, J. J. (2003) · Water Resources Research · doi:10.1029/2002wr001404 · Cited by 168
Wilson, D., Western, A. W., & Grayson, R. B. (2004) · Water Resources Research · doi:10.1029/2003wr002306 · Cited by 167
Ecosystem processes at the watershed scale: Extending optimality theory from plot to catchment
Hwang, T., Band, L. E., & Hales, T. C. (2009) · Water Resources Research · doi:10.1029/2009wr007775 · Cited by 174
Gallart, F., Llorens, P., & Latron, J. (1994) · Journal of Hydrology · doi:10.1016/0022-1694(94)90262-3 · Cited by 167
A unifying framework for watershed thermodynamics: constitutive relationships
Reggiani, P., Hassanizadeh, S. M., Sivapalan, M., & Gray, W. G. (1999) · Advances in Water Resources · doi:10.1016/s0309-1708(99)00005-6 · Cited by 167
Kirkby, M. J., Bracken, L. J., & Reaney, S. M. (2002) · Earth Surface Processes and Landforms · doi:10.1002/esp.441 · Cited by 166
Self-citationMauser, W., & Bach, H. (2009) · Journal of Hydrology · doi:10.1016/j.jhydrol.2009.07.046 · Cited by 170
Hierarchical modelling of the environmental impacts of river impoundment based on a GIS
McDonnell, R. A. (2000) · Hydrological Processes · doi:10.1002/1099-1085(20000815/30)14:11/12 · Cited by 14
Multi-source global wetland maps combining surface water imagery and groundwater constraints
Tootchi, A., Jost, A., & Ducharne, A. (2019) · Earth System Science Data · doi:10.5194/essd-11-189-2019 · Cited by 165
Saleem, N., Huq, M. E., Twumasi, N. Y. D., Javed, A., & Sajjad, A. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8120545 · Cited by 165
Validation of the Shallow Landslide Model, SHALSTAB, for forest management
Dietrich, W. E., Bellugi, D., & de Asua, R. R. (2001) · Water science and application · doi:10.1029/ws002p0195 · Cited by 165
Chapter 9 Landforms and Landform Elements in Geomorphometry
MacMillan, R. A., & Shary, P. A. (2008) · Developments in psychiatry · doi:10.1016/s0166-2481(08)00009-3 · Cited by 173
Pauwels, V. R. N., Hoeben, R., Verhoest, N. E. C., & Troch, F. P. D. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00440-1 · Cited by 164
Cantón, Y., del Barrio, G., Solé‐Benet, A., & Lázaro, R. (2003) · CATENA · doi:10.1016/s0341-8162(03)00108-5 · Cited by 164
Loisel, J., van Bellen, S., Pelletier, L., Talbot, J., Hugelius, G., Karran, D. J., Yu, Z., Nichols, J. E., & Holmquist, J. R. (2016) · Earth-Science Reviews · doi:10.1016/j.earscirev.2016.12.001 · Cited by 164
Avand, M., Moradi, H., & Lasboyee, M. R. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.125663 · Cited by 164
Metadata
- Authors
- BEVEN, K. J., & KIRKBY, M. J.
- Affiliations
- University of Leeds (GB)
- Venue
- Hydrological Sciences Bulletin
- Publisher
- Informa UK Limited
- Published
- 1979-03
- Volume
- 24
- Issue
- 1
- Pages
- 43-69
- ISSN
- 0303-6936 (ISSN-L)
- OpenAlex
- W1981646498
- Cited by
- 6,670
- References
- 27
- Citations by year
- 2026: 415 · 2025: 413 · 2024: 381 · 2023: 340 · 2022: 444 · 2021: 415 · 2020: 320 · 2019: 335 · 2018: 284 · 2017: 262 · 2016: 287 · 2015: 240 · 2014: 219 · 2013: 226 · 2012: 208
- FWCI
- 6.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hydrological Sciences Bulletin (publishedVersion)
- Funders
- Natural Environment Research Council
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Environmental Engineering › Groundwater and Watershed Analysis
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
- Keywords
- river basin hydrology, ungauged sites, physically based hydrological model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review