Rainfall spatial and seasonal variability analysis in semi-arid watersheds
| dc.contributor.author | Tian, Daquan. | |
| dc.creator | Tian, Daquan. | en_US |
| dc.date.accessioned | 2011-11-28T13:53:06Z | |
| dc.date.available | 2011-11-28T13:53:06Z | |
| dc.date.issued | 1993 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/191382 | |
| dc.description.abstract | A simple procedure for the real-time estimation of the average areal rainfall over a 4 km by 4 km grid was developed. The method proposed here was obtained by a straightforward extension of the well-known block Kriging approach. In order to take into account the seasonal influences, the monthly variogram models were built by least square fit for a ten-year period of rainfall data collected at USDA-ARS Walnut Gulch Experimental watershed. To investigate the rainfall spatial variability on a small scale, a small scale experiment was conducted within the watershed. Sensitivity analysis was also applied between the raingage densities and the relative estimated errors. A portable program MATCORS, for correspondence analysis was developed. A series of graphs and various diagnostic results generated by this program are provided to aid in interpreting the results. It was applied to a monthly rainfall data set recorded statewide in Arizona. | |
| dc.language.iso | en | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Hydrology. | |
| dc.subject | Rain and rainfall -- Measurement. | |
| dc.title | Rainfall spatial and seasonal variability analysis in semi-arid watersheds | en_US |
| dc.type | Thesis-Reproduction (electronic) | en_US |
| dc.type | text | en_US |
| dc.contributor.chair | Sorooshian, Soroosh | en_US |
| dc.identifier.oclc | 228305340 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | masters | en_US |
| dc.contributor.committeemember | Mers, Donald E. | en_US |
| dc.contributor.committeemember | Michaud, Jene D. | en_US |
| thesis.degree.discipline | Hydrology and Water Resources | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.name | M.S. | en_US |
| dc.description.note | hydrology collection | en_US |
| refterms.dateFOA | 2018-08-24T10:13:32Z | |
| html.description.abstract | A simple procedure for the real-time estimation of the average areal rainfall over a 4 km by 4 km grid was developed. The method proposed here was obtained by a straightforward extension of the well-known block Kriging approach. In order to take into account the seasonal influences, the monthly variogram models were built by least square fit for a ten-year period of rainfall data collected at USDA-ARS Walnut Gulch Experimental watershed. To investigate the rainfall spatial variability on a small scale, a small scale experiment was conducted within the watershed. Sensitivity analysis was also applied between the raingage densities and the relative estimated errors. A portable program MATCORS, for correspondence analysis was developed. A series of graphs and various diagnostic results generated by this program are provided to aid in interpreting the results. It was applied to a monthly rainfall data set recorded statewide in Arizona. |
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