Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-09T02:42:13.699Z Has data issue: false hasContentIssue false

7 - The modular modelling system (MMS): a toolbox for water and environmental resources management

Published online by Cambridge University Press:  15 December 2009

By
G. H. Leavesley ,
S. L. Markstrom ,
R. J. Viger  and
L. E. Hay
Edited by
Howard Wheater ,
Soroosh Sorooshian  and
K. D. Sharma
G. H. Leavesley
Affiliation:
USGS, WRD, Denver, Colorado, USA
S. L. Markstrom
Affiliation:
USGS, WRD, Denver, Colorado, USA
R. J. Viger
Affiliation:
USGS, WRD, Denver, Colorado, USA
L. E. Hay
Affiliation:
USGS, WRD, Denver, Colorado, USA
Howard Wheater
Affiliation:
Imperial College of Science, Technology and Medicine, London
Soroosh Sorooshian
Affiliation:
University of California, Irvine
K. D. Sharma
Affiliation:
National Institute of Hydrology, India
Get access

Summary

INTRODUCTION

Increasing demands for limited fresh-water supplies, and increasing complexity of environmental resource-management issues, present resource managers with the difficult task of achieving an equitable balance of resource allocation among a diverse group of users. Achieving such a balance is most difficult in arid and semi-arid regions. Hydrological and ecosystem models are often the tools being employed to address these resource-allocation issues.

The inter-disciplinary nature of water- and environmental-resource problems requires the use of modelling approaches that can incorporate knowledge from a broad range of scientific disciplines. Selection and application of appropriate models and tools is a function of a number of evaluation criteria, including problem objectives, data constraints, and spatial and temporal scales of application. The US Geological Survey (USGS) Modular Modelling System (MMS) (Leavesley et al., 1996b) is an integrated system of computer software that provides a research and operational framework to support the development and integration of a wide variety of hydrologic and ecosystem models, and their application to water- and environmental-resources management.

MMS supports the integration of models and tools at a variety of levels of modular design. These include individual process models, tightly coupled models, loosely coupled models, and fully integrated decision-support systems. A geographic information system (GIS) interface, the GIS Weasel, has been integrated with MMS to enable spatial delineation and characterization of basin and ecosystem features, and to provide objective parameter-estimation methods for selected models using available digital data coverages.

Type
Chapter
Information
Hydrological Modelling in Arid and Semi-Arid Areas , pp. 87 - 98
Publisher: Cambridge University Press
Print publication year: 2007

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

Arnold, J. G., Srinivasin, R., Muttiah, R. S., and Williams, J. R. (1998). Large area hydrologic modeling and assessment: Part I. Model development. JAWRA, 34 (1), 73–89.
Beven, K. J. and Binley, A. (1992). The future of distributed models: model calibration and uncertainty prediction. Hydrolog. Proc., 6, 279–98.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, CO: Water Resources Publications, 627–68.
Day, G. N. (1985). Extended streamflow forecasting using NWSRFS. J. Water Resour. Plan. Manag., ASCE, 111, 157–70.CrossRefGoogle Scholar
Jong, C., Machauer, R., Reichert, B., et al. (2004). An integrated geomorphological and hydrogeological MMS modelling framework for a semi-arid mountain basin in the High Atlas, southern Morocco. In Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, ed. Pahl-Wostl, C., Schmidt, S., Rizzoli, A. E. and Jakeman, A. J.. Manno, Switzerland: iEMSs, ISBN 88-900787-1-5, Vol. 2736–41.
Jong, C., Machauer, R., Leavesely, G., et al. (2005). Integrated hydrological modelling concepts for a peripheral mountainous semi-arid basin in southern Morocco. EU Proceedings Geomatics for Land and Water management: Achievements and Challenges in the Euromed Context, ed. R. Escadafal and M. L. Paracchini, Italy: Joint Research Centre, 219–27.Google Scholar
Duan, Q., Gupta, V. K., Sorooshian, S. (1993). A shuffled complex evolution approach for effective and efficient global optimization. J. Optimiz. Theory Appl., 76 (3), 501–21.CrossRefGoogle Scholar
ESRI (Environmental Systems Research Institute) (1992). ARC/INFO 6Ð1 User's Guide. Redlands, CA: ESRI.
Fulp, T. J., Vickers, W. B., Williams, B., King, D. L. (1995). Decision support for water resources management in the Colorado River regions. In Workshop on Computer Applications in Water Management, ed. Ahuja, L., Leppert, J., Rojas, K., and Seely, E.. Information Series No. 79, Fort Collins, CO: Colorado Water Resources Research Institute, 24–27.Google Scholar
Harbaugh, A. W. (2005). MODFLOW-2005, The US Geological Survey Modular Groundwater Model – The Groundwater Flow Process. US Geological Survey Techniques and Methods 6-A16.Google Scholar
Hay, L. E., Clark, M. P., Wilby, W. J., et al. (2002). Use of regional climate model output for hydrologic simulations, J. Hydrometeor., 3, 571–90.2.0.CO;2>CrossRefGoogle Scholar
Hay, L. E., Wilby, R. L., and Leavesley, G. H. (2000). A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States. J. Am. Water Resour., 36 (2), 387–97.CrossRefGoogle Scholar
Leavesley, G. H. and Stannard, L. G. (1995). The precipitation-runoff modelling system – PRMS. In Computer Models of Watershed Hydrology, ed. Singh, V. P.. Highlands Ranch, CO: Water Resources Publications, 281–310.Google Scholar
Leavesley, G. H., Lichty, R. W., Troutman, B. M., and Saindon, L. G. (1983). Precipitation-Runoff Modelling System – User's Manual. US Geological Survey Water Resources Investigation Report 83–4238.Google Scholar
Leavesley, G. H., Markstrom, S. L., Brewer, M. S., and Viger, R. J. (1996a). The modular modelling system (MMS) – the physical process modeling component of a database-centered decision support system for water and power management. Water Air Soil Poll. 90, 303–11.CrossRefGoogle Scholar
Leavesley, G. H., Restrepo, P. J., Markstrom, S. L., Dixon, M., and Stannard, L. G. (1996b). The modular modeling system – MMS: user's manual. US Geological Survey Open File Report 96–151.Google Scholar
Niswonger, R. G. and Prudic, D. E. (2005). Documentation of the Streamflow-Routing (SFR2) Package to Include Unsaturated Flow Beneath Streams – A Modification to SFR1. US Geological Survey Techniques and Methods, 6-A13.Google Scholar
Niswonger, R. G., Prudic, D. E., and Regan, R. S. (2006). Documentation of the Unsaturated Flow (UZF1) Package for Modeling Unsaturated Flow Between the Land Surface and the Water Table with MODFLOW-2005. US Geological Survey Techniques and Methods 6-A19.Google Scholar
Ravenga, C. S. M., Abramovitz, J., and Hammond, A. (1998). Watersheds of the World. Washington DC: Water Resources Institute and Worldwatch Institute.Google Scholar
Restrepo, P. J. and Bras, R. L. (1982). Automatic Parameter Estimation of a Large Conceptual Rainfall-Runoff Model: A Maximum-Likelihood Approach. Ralph M. Parsons Laboratory Report No. 267. Cambridge, MA: Massachusetts Institute of Technology, Department of Civil Engineering.Google Scholar
Rosenbrock, H. H. (1960). An automatic method of finding the greatest or least value of a function. Comp. J., 3, 175–84.CrossRefGoogle Scholar
US Department of Agriculture (1992). Forest Land Distribution Data for the United States Forest Service, http://www.epa.gov/docs/grd/forest_inventory.
US Department of Agriculture (1994). State Soil Geographic (STATSGO) Database – Data Use Information. Natural Resources Conservation Service, Miscellaneous Publication No. 1492.
Wilby, R. L., Hay, L. E., and Leavesley, G. H. (1999). A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River Basin, Colorado. J. Hydrol., 225, 67–91.CrossRefGoogle Scholar
Yapo, P. O., Gupta, H. V., and Sorooshian, S. (1998). Multi-objective global optimization for hydrologic models. J. Hydrol., 204, 83–97.CrossRefGoogle 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.

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.

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.

Available formats
×