Graduate Thesis Or Dissertation

 

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  • Precipitation is one of the most important components contributing to hydrological dynamics. Spatially distributed precipitation data can be obtained by satellite, radar, rain gages, etc, to serve various purposes. Currently, the most commonly used precipitation data still rely on gage-based measurement techniques that provide timely precipitation information with high quality and reliability. The National Oceanic and Atmospheric Administration (NOAA) and its cooperative climate stations are the primary resources of this form of precipitation data at the federal level. For hydrological simulation of precipitation-runoff for a watershed, precipitation is a critical model input that has a significant impact on the certainty and accuracy of simulation. To better understand the hydrological process within Whitewater River Basin in Kansas, the Precipitation-Runoff Model System (PRMS) was applied to this area, where the Cooperative Atmosphere-Surface Exchange Study (CASES) has set up an intensively instrumented site managed by Hydrologic Science Team (HST) of Oregon State University for rainfall data collection. Two rainfall data sources, NOAA and HST, were used in this study to simulate the stream response to rainfall within the basin. Different simulation results were acquired compared and analyzed. The study concluded that better simulation results were obtained with MMS-PRMS using integrated spatially distributed precipitation data, which was not available as a standard NOAA product. For a large basin, it is necessary to collect precipitation data within the area of interest in addition to standard NOAA data to produce an accurate hydrological model. It was suggested that to guarantee the quality of precipitation-runoff simulation using MMS-PRMS, the coverage of each rain gage should not be larger than 40 to 50 square kilometers (about 15-20 square miles). It was also learned that the precipitation data from local supplementary measurements are unlikely to be a satisfactory substitute for current NOAA data in hydrological simulation due to the short time period of measurement. The combination of standard NOAA data and additional data from an intensively measured site, such as CASES, or from radar, would allow more for better simulation.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-07-25T17:37:24Z (GMT) No. of bitstreams: 1 LinWei2004.pdf: 7160926 bytes, checksum: c2b13f41545c1e5d093eb3603df925b4 (MD5)
  • description.provenance : Made available in DSpace on 2012-07-30T17:45:26Z (GMT). No. of bitstreams: 1 LinWei2004.pdf: 7160926 bytes, checksum: c2b13f41545c1e5d093eb3603df925b4 (MD5) Previous issue date: 2003-02-26
  • description.provenance : Submitted by Kevin Martin (martikev@onid.orst.edu) on 2012-07-19T20:30:23Z No. of bitstreams: 1 LinWei2004.pdf: 7160926 bytes, checksum: c2b13f41545c1e5d093eb3603df925b4 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-07-30T17:45:26Z (GMT) No. of bitstreams: 1 LinWei2004.pdf: 7160926 bytes, checksum: c2b13f41545c1e5d093eb3603df925b4 (MD5)

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