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
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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.
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Mapping of Holocene River Alluvium along the San Pedro River, Aravaipa Creek, and Babocomari River, Southeastern ArizonaCook, J.P.; Youberg, A.; Pearthree, P.A.; Onken, J.A.; MacFarland, B.J.; Haddad, D.E.; Bigio, E.R.; Kowler, A.L. (Arizona Geological Survey (Tucson, AZ), 2009-07-01)
Quality Transformations in Recharged River Water During Possible Interactions with Landfill Deposits Along the Santa Cruz River: Annual Report, Phase 2, 1973-1974Wilson, L. G.; Herbert, Richard; Ramsey, Chris; Randall, J. H.; Water Resources Research Center, University of Arizona; Water Resources Research Center, University of Arizona; Water Resources Research Center, University of Arizona; Water Resources Research Center, University of Arizona (Water Resources Research Center, University of Arizona (Tucson, AZ), 1974-08-08)The overall objectives of a study initiated in 1972 by the Water Resources Research Center (Univ. of Arizona), in cooperation with the Pima County Dept. of Sanitation, are to examine the possibility of interactions between recharged river water and deposits in adjoining landfills, and if such interactions occur to evaluate the effect on native groundwater quality. Corresponding to these objectives, the principal function of a monitoring program initiated during the project was to characterize background water levels and native groundwater quality during normal low flows (i.e., sewage flows) in the river, and to monitor changes, if such occur, during flood flows. As it turns out, data from the project should also be applicable to the anticipated irrigation of farmland near Marana, using effluent from the Impending Ina Rd Treatment Facility. In particular, clues will be provided on transformations in sewage effluent quality during infiltration and deep percolation. The first phase of the project was conducted at the Ina Rd landfill and the second involved both the Ina Rd and Ruthrauff Rd fills. Results of the first phase were reported in a paper by Wilson and Small. This report will review the results of the second study phase. Specific objectives of the studies during the second phase included (1) obtaining river water and well water samples for chemical and microbiological analysis, (2) monitoring water level changes in available wells and (3) characterizing general features of the geohydrology in the vicinity of the landfills.
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.