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T.M. Over

Publications and source records attributed to T.M. Over.

2 recordsLinked to original sources

Comparison of estimates of uncertainty of discharge at US geological survey index-velocity gages on the Chicago sanitary and ship canal, Illinois

Estimates of uncertainty of discharge at time scales from 5 minutes to 1 year were obtained for two index-velocity gages on the Chicago Sanitary and Ship Canal (CSSC), Ill., instrumented with acoustic velocity meters (AVMs). The velocity measurements obtained from the AVMs are corrected to a mean channel velocity by use of an index velocity rating (IVR). The IVR is a regression-derived relation between the AVM velocity estimates and those obtained using acoustic Doppler current profilers (ADCPs). The uncertainty estimation method is based on the first-order variance method, but the AVM velocity error is estimated from an empirical perspective, using the statistics of the IVR regression. Some uncertainty exists regarding whether to include the standard error of the IVR regression (????2) in the discharge uncertainty. At the 5-minute time scale when ?? ??2 is included, it has the dominant contribution to the discharge uncertainty, and the discharge uncertainty (expressed as the standard deviation of the discharge estimate) is about 5 m3/s at one gage and 8 m3/s at the other, independent of discharge. When ????2 is not included, the discharge uncertainty at the 5-minute time scale is much smaller (about 0.5 m3/s) and depends more strongly on discharge. For time scales one day or greater and when ????2 is not included, the uncertainty of the IVR parameters dominates the discharge uncertainty. The value of the discharge uncertainty is about 0.4 m3/s for one gage and 0.5 m3/s for the other gage at long time scales.

Conference Paper

River flow mass exponents with fractal channel networks and rainfall

An important problem in hydrologic science is understanding how river flow is influenced by rainfall properties and drainage basin characteristics. In this paper we consider one approach, the use of mass exponents, in examining the relation of river flow to rainfall and the channel network, which provides the primary conduit for transport of water to the outlet in a large basin. Mass exponents, which characterize the power-law behavior of moments as a function of scale, are ideally suited for defining scaling behavior of processes that exhibit a high degree of variability or intermittency. The main result in this paper is an expression relating the mass exponent of flow resulting from an instantaneous burst of rainfall to the mass exponents of spatial rainfall and that of the network width function. Spatial rainfall is modeled as a random multiplicative cascade and the channel network as a recursive replacement tree; these fractal models reproduce certain types of self-similar behavior seen in actual rainfall and networks. It is shown that under these modeling assumptions the scaling behavior of flow mirrors that of rainfall if rainfall is highly variable in space, and on the other hand flow mirrors the structure of the network if rainfall is not so highly variable. ?? 2001 Elsevier Science Ltd. All rights reserved.

Advances in Water Resources