AffiliationDepartment of Hydrology and Water Resources, University of Arizona
KeywordsHydrology -- Arizona.
Water resources development -- Arizona.
Hydrology -- Southwestern states.
Water resources development -- Southwestern states.
River basin development
Grand Canyon National Park and Monument
Colorado River Outfitters Association
MetadataShow full item record
RightsCopyright ©, where appropriate, is held by the author.
Collection InformationThis article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact firstname.lastname@example.org.
PublisherArizona-Nevada Academy of Science
AbstractIncreased useer intensity of the Colorado River through Grand Canyon National Park and Monument required the national park service and the Colorado River outfitters association to adopt new policies to improve the quality of river trips and to protect the river. This study was undertaken to gain a greater awareness and understanding of visitor expectations, perceptions, interactions, satisfactions and dissatisfactions by analysis of response to a questionnaire mailed to a random sample of 2,622 past river runners from which a 65 percent return was received. Analysis of individual question tabulation and multivariate data-cluster analysis were performed. Users found crowding or user density to be at least tolerable. The largest group of runners were average in wilderness or other activities, and low relative to less strenuous activities. A large group of runners had relatively little experience in the wilderness. A large group of runners enjoyed the trip, desired more regulations, and were moderate about taking more trips. A large group rated the trip as a wilderness adventure which provided the opportunity to 'get away'. Cluster analysis is shown to be a useful tool of policy-making institutions.
Showing items related by title, author, creator and subject.
Rivers of Discontent: Indicators of Water Conflict in Interstate River Basins of The American SouthwestMaloney, Meghan Lea (The University of Arizona., 2008)Conflicts over the optimal allocation of water resources are no longer just a concern but political reality. Increasing population and demands, competing uses, as well as uncertainty over scientific processes all add to the complexity of water management and in turn can lead to complex, difficult, and long standing water conflicts. This research employs Geographic Information Systems (GIS) to evaluate water conflict in interstate settings and examines the relationship between commonly held conceptions of water conflict and actual events. Results reveal a low number of observations in each of the examined basins. Each basin has a unique relationship with the evaluated variables and the use of GIS reveals distinct spatial relationships for conflicts. However, the modifiable unit areal problem presents a real concern for continued application. Results also reveal that generalizing indicators of conflict across basins loses the inherent variability and nuanced relationships that are seen through a basin-by-basin analysis.
A multi-step automatic calibration scheme (MACS) for river forecasting models utilizing the national weather service river forecast system (NWSRFS)Sorooshian, Soroosh; Gupta, Hoshin; Hogue, Terri S.; Holz, Andrea; Braatz, Dean; Department of Hydrology & Water Resources, The University of Arizona (Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1999-10)Traditional model calibration by National Weather Service (NWS) River Forecast Center (RFC) hydrologists involves a laborious and time -consuming manual estimation of numerous parameters. The National Weather Service River Forecasting System (NWSRFS), a software system used by the RFCs for hydrologic forecasting, includes an automatic optimization program (OPT3) to aid in model calibration. The OPT3 program is not used operationally by the majority of RFC hydrologists who perform calibration studies. Lack of success with the traditional single - step, single-criterion automatic calibration approach has left hydrologists more comfortable employing a manual step-by-step process to estimate parameters. This study develops a Multistep Automatic Calibration Scheme (MACS), utilizing OPT3, for the river forecasting models used by the RFCs: the Sacramento Soil Moisture Accounting (SAC-SMA). and SNOW-17 models. Sixteen parameters are calibrated in three steps, replicating the progression of manual calibration steps used by NWS hydrologists. MACS is developed by minimizing different objective functions for different parameters in a step -wise manner. Model runs are compared using the MACS optimized parameters and the manually estimated parameters for six basins in the North Central River Forecast Center (NCRFC) forecast area. Results demonstrate that the parameters obtained via the MACS procedure generally yield better model performance than those obtained by manual calibration. The MACS methodology is a time-saving approach that can provide prompt model forecasts for NWS watersheds.