Towards a new classification of rivers based on generic gage height - discharge rating curves for low-cost estimation of stream discharge
| dc.contributor.author | Rundall, Jeremiah B., author | |
| dc.contributor.author | Parsons, Benjamin E., author | |
| dc.contributor.author | Emerman, Steven H., author | |
| dc.contributor.author | Jorgensen, Michael R., author | |
| dc.contributor.author | Colorado State University, publisher | |
| dc.date.accessioned | 2020-02-19T17:36:35Z | |
| dc.date.available | 2020-02-19T17:36:35Z | |
| dc.date.issued | 2015 | |
| dc.description | 2015 annual AGU hydrology days was held at Colorado State University on March 23 - March 25, 2015. | |
| dc.description | Includes bibliographical references. | |
| dc.description.abstract | The objective of this research is to classify rivers based upon generic gage height-discharge rating curves so as to reduce the number of measurements required for rating curve development. The first step has been classification according to the uniqueness of the gage height-discharge relationship. The USGS National Water Information System database of 3.68 million pairs of gage height vs. discharge measurements at 61,240 gaging stations was imported into a Python-driven data manipulation script, resulting in 15,153 gaging stations after removal of incomplete and inconsistent data. At each gaging station, the linear relationship ZlnGH = mZlnQ = b was determined, where ZlnGH and ZlnQ are the Z-scores of the logarithms of gage height and discharge, respectively. Each linear relationship was converted into a normal distribution with mean and standard deviation equal to m and its standard error, respectively. Summation of the normal distributions showed a single peak at m = 0.991, where m = 1 indicates a unique gage height-discharge relationship. There are no gaging stations with m > 1, equivalent to no gaging stations with variation in discharge without variation in gage height. Over 30% of gaging stations had m < 0.9, indicating significant variation in gage height without variation in discharge. Based on 209 gaging stations in Utah, extreme independence of gage height from discharge (m < 0.6) can be avoiding by not locating gaging stations close to either the upstream or downstream confluence (within 10% of the reach), which precludes the effects of flood waves and reverse flow. | |
| dc.format.medium | born digital | |
| dc.format.medium | proceedings (reports) | |
| dc.identifier.uri | https://hdl.handle.net/10217/201076 | |
| dc.identifier.uri | http://dx.doi.org/10.25675/10217/201076 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | Hydrology Days | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Towards a new classification of rivers based on generic gage height - discharge rating curves for low-cost estimation of stream discharge | |
| dc.title.alternative | Hydrology days 2015 | |
| dc.title.alternative | AGU hydrology days 2015 | |
| dc.type | Text |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- CONF_HydroDays_Rundall_2015.pdf
- Size:
- 1.09 MB
- Format:
- Adobe Portable Document Format