Skip to main content Accessibility help
×
Hostname: page-component-5c6d5d7d68-ckgrl Total loading time: 0 Render date: 2024-08-09T11:20:05.334Z Has data issue: false hasContentIssue false

11 - Watershed Hydrology

from Part III - Hydrometeorology

Published online by Cambridge University Press:  05 November 2015

Gordon Bonan
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado
Get access

Summary

Chapter Summary

The flow of water in streams and rivers is a key measure of the hydrologic cycle integrated over large areas. A watershed is the geographic area that contributes to water flow in a stream or river. Building upon concepts introduced in the previous chapter, this chapter introduces the study of watersheds. The overall hydrologic balance of a watershed is discussed, and three cases studies (Hubbard Brook, Coweeta, and Walker Branch) illustrate the hydrologic balance of watersheds. Surface runoff, or overland flow, is generated within a watershed when water reaching the ground exceeds the soil's capacity to gain water during infiltration (infiltration-excess runoff) or when rain falls on saturated areas of the watershed (saturation-excess runoff). The processes that generate runoff are reviewed and illustrated by numerical models of watershed hydrology. The spatial distribution of precipitation, spatial variability in infiltration capacity, antecedent soil moisture, and topography are important determinants of runoff at the watershed scale. Riverflow is an integrator of runoff, and the processes regulating riverflow, especially flooding, are discussed and illustrated. The chapter concludes with a discussion of global drainage basins and observed riverflow for major river systems. Comparison of simulated versus observed riverflow is one means to test the hydrologic cycle of climate models.

Watersheds

The cycling of water depicted in Figure 10.1 can be applied to particular geographic regions to calculate the water balance. One such area is a watershed or drainage basin. A watershed is the geographic area that contributes to flow in a stream or river. It can be hundreds of thousands of square kilometers for a large river such as the Mississippi or Amazon or a few square kilometers for a small creek. A watershed is topographically defined; it is bounded along its edges by divides formed from high elevation points. A drop of water on the streamward side of the divide flows downslope to the stream; a drop of water on the other side of the divide flows into another stream.

Type
Chapter
Information
Ecological Climatology
Concepts and Applications
, pp. 173 - 192
Publisher: Cambridge University Press
Print publication year: 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ambroise, B., Beven, K., and Freer, J. (1996). Toward a generalization of the TOPMODEL concepts: Topographic indices of hydrological similarity. Water Resources Research, 32, 2135–2145.CrossRefGoogle Scholar
Andréassian, V. (2004). Waters and forests: From historical controversy to scientific debate. Journal of Hydrology, 291, 1–27.CrossRefGoogle Scholar
Balsamo, G., Viterbo, P., Beljaars, A., et al. (2009). A revised hydrology for the ECMWF model: Verification from field site to terrestrial water storage and impact in the integrated forecast system. Journal of Hydrometeorology, 10, 623–643.CrossRefGoogle Scholar
Band, L. E., Patterson, P., Nemani, R., and Running, S. W. (1993). Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology. Agricultural and Forest Meteorology, 63, 93–126.CrossRefGoogle Scholar
Beven, K. J., and Kirkby, M. J. (1979). A physically based variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24, 43–69.CrossRefGoogle Scholar
Beven, K., and Wood, E. F. (1983). Catchment geomorphology and the dynamics of runoff contributing areas. Journal of Hydrology, 65, 139–158.CrossRefGoogle Scholar
Beven, K. J., Kirkby, M. J., Schofield, N., and Tagg, A. F. (1984). Testing a physically-based flood forecasting model (TOPMODEL) for three U.K. catchments. Journal of Hydrology, 69, 119–143.CrossRefGoogle Scholar
Beven, K. J., Lamb, R., Quinn, P. F., Romanowicz, R., and Freer, J. (1995). TOPMODEL. In Computer Models of Watershed Hydrology, ed. Singh, V. P.. Highlands Ranch, Colorado: Water Resources Publications, pp. 627–668.Google Scholar
Bormann, F. H., and Likens, G. E. (1979). Pattern and Process in a Forested Ecosystem. New York: Springer-Verlag.CrossRefGoogle Scholar
Bosch, J. M., and Hewlett, J. D. (1982). A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology, 55, 3–23.CrossRefGoogle Scholar
Brown, A. E., Zhang, L., McMahon, T. A., Western, A. W., and Vertessy, R. A. (2005). A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation. Journal of Hydrology, 310, 28–61.CrossRefGoogle Scholar
Chen, J., and Kumar, P. (2001). Topographic influence on the seasonal and interannual variation of water and energy balance of basins in North America. Journal of Climate, 14, 1989–2014.2.0.CO;2>CrossRefGoogle Scholar
Clark, D. B., and Gedney, N. (2008). Representing the effects of subgrid variability of soil moisture on runoff generation in a land surface model. Journal of Geophysical Research, 113, D10111, doi:10.1029/2007JD008940.CrossRefGoogle Scholar
Coe, M. T. (2000). Modeling terrestrial hydrological systems at the continental scale: testing the accuracy of an atmospheric GCM. Journal of Climate, 13, 686–704.2.0.CO;2>CrossRefGoogle Scholar
Decharme, B., and Douville, H. (2006). Introduction of a sub-grid hydrology in the ISBA land surface model. Climate Dynamics, 26, 65–78.CrossRefGoogle Scholar
Dolman, A. J., and Gregory, D. (1992). The parametrization of rainfall interception in GCMs. Quarterly Journal of the Royal Meteorological Society, 118, 455–467.CrossRefGoogle Scholar
Ducharne, A., Laval, K., and Polcher, J. (1998). Sensitivity of the hydrological cycle to the parameterization of soil hydrology in a GCM. Climate Dynamics, 14, 307–327.CrossRefGoogle Scholar
Dümenil, L., and Todini, E. (1992). A rainfall-runoff scheme for use in the Hamburg climate model. In Advances in Theoretical Hydrology: A Tribute to James Dooge, ed. O'Kane, J. P.. Amsterdam: Elsevier, pp. 129–157.Google Scholar
Eltahir, E. A. B., and Bras, R. L. (1993). A description of rainfall interception over large areas. Journal of Climate, 6, 1002–1008.2.0.CO;2>CrossRefGoogle Scholar
Famiglietti, J. S., and Wood, E. F. (1994). Multiscale modeling of spatially variable water and energy balance processes. Water Resources Research, 30, 3061–3078.Google Scholar
Famiglietti, J. S., Lo, M., Ho, S. L., et al. (2011). Satellites measure recent rates of groundwater depletion in California's Central Valley. Geophysical Research Letters, 38, L03403, doi:10.1029/2010GL046442.CrossRefGoogle Scholar
Farley, K. A., Jobbágy, E. G., and Jackson, R. B. (2005). Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology, 11, 1565–1576.CrossRefGoogle Scholar
Fennessey, N. M., Eagleson, P. S., Qinliang, W., and Rodriguez-Iturbe, I. (1986). Spatial Characteristics of Observed Precipitation Fields: A Catalog of Summer Storms in Arizona, Volume I, Ralph M. Parsons Laboratory Report No. 307. Cambridge: Massachusetts Institute of Technology.Google Scholar
Gedney, N., and Cox, P. M. (2003). The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity. Journal of Hydrometeorology, 4, 1265–1275.2.0.CO;2>CrossRefGoogle Scholar
Hagemann, S., and Gates, L. D. (2003). Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations. Climate Dynamics, 21, 349–359.CrossRefGoogle Scholar
Hornbeck, J. W., Pierce, R. S., and Federer, C. A. (1970). Streamflow changes after forest clearing in New England. Water Resources Research, 6, 1124–1132.CrossRefGoogle Scholar
Hornbeck, J. W., Adams, M. B., Corbett, E. S., Verry, E. S., and Lynch, J. A. (1993). Long-term impacts of forest treatments on water yield: A summary for northeastern USA. Journal of Hydrology, 150, 323–344.CrossRefGoogle Scholar
Hornbeck, J. W., Martin, C. W., and Eagar, C. (1997). Summary of water yield experiments at Hubbard Brook Experimental Forest, New Hampshire. Canadian Journal of Forest Research, 27, 2043–2052.Google Scholar
Hornberger, G. M., Beven, K. J., Cosby, B. J., and Sappington, D. E. (1985). Shenandoah watershed study: Calibration of a topography-based, variable contributing area hydrological model to a small forested catchment. Water Resources Research, 21, 1841–1850.CrossRefGoogle Scholar
Hornberger, G. M., Bencala, K. E., and McKnight, D. M. (1994). Hydrological controls on dissolved organic carbon during snowmelt in the Snake River near Montezuma, Colorado. Biogeochemistry, 25, 147–165.CrossRefGoogle Scholar
Hornberger, G. M., Raffensperger, J. P., Wiberg, P. L., and Eshleman, K. N. (1998). Elements of Physical Hydrology. Baltimore: Johns Hopkins University Press.Google Scholar
Jackson, R. B., Jobbágy, E. G., Avissar, R., et al. (2005). Trading water for carbon with biological carbon sequestration. Science, 310, 1944–1947.CrossRefGoogle ScholarPubMed
Johnson, D. W., and Van Hook, R. I. (1989). Analysis of Biogeochemical Cycling Processes in Walker Branch Watershed. New York: Springer-Verlag.CrossRefGoogle Scholar
Koster, R. D., Suarez, M. J., Ducharne, A., Stieglitz, M., and Kumar, P. (2000). A catchment-based approach to modeling land surface processes in a general circulation model, 1: Model structure. Journal of Geophysical Research, 105D, 24809–24822.Google Scholar
Lawrence, D. M., Oleson, K. W., Flanner, M. G., et al. (2011). Parameterization improvements and functional and structural advances in version 4 of the Community Land Model. Journal of Advances in Modeling Earth Systems, 3, doi:10.1029/2011MS000045.Google Scholar
Lei, H., Huang, M., Leung, L. R., et al. (2014). Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations. Journal of Advances in Modeling Earth Systems, 6, 658–679, doi:10.1002/2013MS000252.CrossRefGoogle Scholar
Li, H., Huang, M., Wigmosta, M. S., et al. (2011). Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed. Journal of Geophysical Research, 116, D24120, doi:10.1029/2011JD016276.CrossRefGoogle Scholar
Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J. (1994). A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research, 99D, 14415–14428.Google Scholar
Liang, X., Lettenmaier, D. P., and Wood, E. F. (1996). One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. Journal of Geophysical Research, 101D, 21403–21422.Google Scholar
Likens, G. E. (2004). Some perspectives on long-term biogeochemical research from the Hubbard Brook ecosystem study. Ecology, 85, 2355–2362.CrossRefGoogle Scholar
Likens, G. E., and Bormann, F. H. (1995). Biogeochemistry of a Forested Ecosystem, 2nd edn. New York: Springer-Verlag.CrossRefGoogle Scholar
Likens, G. E., Bormann, F. H., Pierce, R. S., Eaton, J. S., and Johnson, N. M. (1977). Biogeochemistry of a Forested Ecosystem. New York: Springer-Verlag.CrossRefGoogle Scholar
Luxmoore, R. J., and Huff, D. D. (1989). Water. In Analysis of Biogeochemical Cycling Processes in Walker Branch Watershed, ed. Johnson, D. W. and Hook, R. I.Van. New York: Springer-Verlag, pp. 164–196.Google Scholar
Mattikalli, N. M., Engman, E. T., Jackson, T. J., and Ahuja, L. R. (1998). Microwave remote sensing of temporal variations of brightness temperature and near-surface soil water content during a watershed-scale field experiment, and its application to the estimation of soil physical properties. Water Resources Research, 34, 2289–2299.CrossRefGoogle Scholar
Maurer, E. P., Wood, A. W., Adam, J. C., Lettenmaier, D. P., and Nijssen, B. (2002). A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States. Journal of Climate, 15, 3237–3251.2.0.CO;2>CrossRefGoogle Scholar
Nijssen, B., O'Donnell, G. M., Lettenmaier, D. P., Lohmann, D., and Wood, E. F. (2001). Predicting the discharge of global rivers. Journal of Climate, 14, 3307–3323.2.0.CO;2>CrossRefGoogle Scholar
Niu, G.-Y., and Yang, Z.-L. (2006). Assessing a land surface model's improvements with GRACE estimates. Geophysical Research Letters, 33, L07401, doi:10.1029/2005GL025555.CrossRefGoogle Scholar
Niu, G.-Y., Yang, Z.-L., Dickinson, R. E., and Gulden, L. E. (2005). A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models. Journal of Geophysical Research, 110, D21106, doi:10.1029/2005JD006111.CrossRefGoogle Scholar
Pitman, A. J., Henderson-Sellers, A., and Yang, Z.-L. (1990). Sensitivity of regional climates to localized precipitation in global models. Nature, 346, 734–737.CrossRefGoogle Scholar
Ramillien, G., Famiglietti, J. S., and Wahr, J. (2008). Detection of continental hydrology and glaciology signals from GRACE: A review. Surveys in Geophysics, 29, 361–374.CrossRefGoogle Scholar
Rodell, M., Velicogna, I., and Famiglietti, J. S. (2009). Satellite-based estimates of groundwater depletion in India. Nature, 460, 999–1002.CrossRefGoogle ScholarPubMed
Shuttleworth, W. J. (1988). Macrohydrology – the new challenge for process hydrology. Journal of Hydrology, 100, 31–56.CrossRefGoogle Scholar
Stamm, J. F., Wood, E. F., and Lettenmaier, D. P. (1994). Sensitivity of a GCM simulation of global climate to the representation of land-surface hydrology. Journal of Climate, 7, 1218–1239.2.0.CO;2>CrossRefGoogle Scholar
Stieglitz, M., Rind, D., Famiglietti, J., and Rosenzweig, C. (1997). An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling. Journal of Climate, 10, 118–137.2.0.CO;2>CrossRefGoogle Scholar
Swank, W. T., and Crossley, D. A., Jr. (1988). Forest Hydrology and Ecology at Coweeta. New York: Springer- Verlag.CrossRefGoogle Scholar
Swank, W. T., and Douglass, J. E. (1974). Streamflow greatly reduced by converting deciduous hardwood stands to pine. Science, 185, 857–859.CrossRefGoogle ScholarPubMed
Swank, W. T., and Miner, N. H. (1968). Conversion of hardwood-covered watersheds to white pine reduces water yield. Water Resources Research, 4, 947–954.CrossRefGoogle Scholar
Swank, W. T., Swift, L. W., Jr., and Douglass, J. E. (1988). Streamflow changes associated with forest cutting, species conversions, and natural disturbances. In Forest Hydrology and Ecology at Coweeta, ed. Swank, W. T. and Crossley, D. A. Jr. Springer-Verlag, New York, pp. 297–312.CrossRefGoogle Scholar
Swenson, S. C., and Milly, P. C. D. (2006). Climate model biases in seasonality of continental water storage revealed by satellite gravimetry. Water Resources Research, 42, W03201, doi:10.1029/2005WR004628.CrossRefGoogle Scholar
Swenson, S., and Wahr, J. (2006). Estimating large-scale precipitation minus evapotranspiration from GRACE satellite gravity measurements. Journal of Hydrometeorology, 7, 252–270.CrossRefGoogle Scholar
Swenson, S., Yeh, P. J.-F., Wahr, J., and Famiglietti, J. (2006). A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois. Geophysical Research Letters, 33, L16401, doi:10.1029/2006GL026962.CrossRefGoogle Scholar
Swift, L. W., Jr., Cunningham, G. B., and Douglass, J. E. (1988). Climatology and hydrology. In Forest Hydrology and Ecology at Coweeta, ed. Swank, W. T. and Crossley, D. A. Jr. Springer-Verlag, New York, pp. 35–55.Google Scholar
Syed, T. H., Famiglietti, J. S., and Chambers, D. P. (2009). GRACE-based estimates of terrestrial freshwater discharge from basin to continental scales. Journal of Hydrometeorology, 10, 22–40.CrossRefGoogle Scholar
Vörösmarty, C. J., Fekete, B. M., Meybeck, M., and Lammers, R. B. (2000). Global system of rivers: its role in organizing continental land mass and defining land-to-ocean linkages. Global Biogeochemical Cycles, 14, 599–621.CrossRefGoogle Scholar
Wang, A., Li, K. Y., and Lettenmaier, D. P. (2008). Integration of the variable infiltration capacity model soil hydrology scheme into the community land model. Journal of Geophysical Research, 113, D09111, doi:10.1029/2007JD009246.Google Scholar
Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D., and Wullschleger, S. D. (2001). A comparison of methods for determining forest evapotranspiration and its components: Sap-flow, soil water budget, eddy covariance and catchment water balance. Agricultural and Forest Meteorology, 106, 153–168.CrossRefGoogle Scholar
Wolock, D. M. (1995). Effects of subbasin size on topographic characteristics and simulated flow paths in Sleepers River watershed, Vermont. Water Resources Research, 31, 1989–1997.CrossRefGoogle Scholar
Wolock, D. M., and Price, C. V. (1994). Effects of digital elevation model map scale and data resolution on a topography-based watershed model. Water Resources Research, 30, 3041–3052.CrossRefGoogle Scholar
Wolock, D. M., Hornberger, G. M., Bevin, K. J., and Campbell, W. G. (1989). The relationship of catchment topography and soil hydraulic characteristics to lake alkalinity in the northeastern United States. Water Resources Research, 25, 829–837.CrossRefGoogle Scholar
Wolock, D. M., Hornberger, G. M., and Musgrove, T. J. (1990). Topographic effects on flow path and surface water chemistry of the Llyn Brianne catchments in Wales. Journal of Hydrology, 115, 243–259.CrossRefGoogle Scholar
Wood, E. F., Lettenmaier, D. P., and Zartarian, V. G. (1992). A land-surface hydrology parameterization with subgrid variability for general circulation models. Journal of Geophysical Research, 97D, 2717–2728.Google Scholar
Zhang, L., Dawes, W. R., and Walker, G. R. (2001). Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resources Research, 37, 701–708.CrossRefGoogle Scholar
Zhao, R.-J. (1992). The Xinanjiang model applied in China. Journal of Hydrology, 135, 371–381.Google Scholar
Zhao, R.-J., and Liu, X.-R. (1995). The Xinanjiang model. In Computer Models of Watershed Hydrology, ed. Singh, V. P.. Highlands Ranch, Colorado: Water Resources Publications, pp. 215–232.Google Scholar
Zhao, R.-J., Zuang, Y.-L., Fang, L. R., Liu, X.-R., and Zhang, Q.-S. (1980). The Xinanjiang model. In Hydrological Forecasting: Proceedings of the Oxford Symposium, 15–18 April 1980, Publication No. 129. International Association of Hydrological Sciences, Wallingford, United Kingdom, pp. 351–356.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Watershed Hydrology
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.012
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Watershed Hydrology
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.012
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Watershed Hydrology
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.012
Available formats
×