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A statistical model for estimating mean annual and mean monthly flows at ungaged locations

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Title: A statistical model for estimating mean annual and mean monthly flows at ungaged locations
Author: Sukheswalla, Zubin Rohinton
Abstract: Prediction of flow is necessary for planning and management of water resources. The objective of this study is to estimate mean annual flows for the USA and mean monthly flows for the rivers of central Texas based on the precipitation and their watershed characteristics. Flow varies largely with topographic and climatic parameters and hence generalization of runoff models is difficult. This model aims at providing a prediction at ungaged locations with very few parameters that are easily available and measurable. Scatter in predicted data will be seen at the annual and monthly time scale in the range selected for each data. This model will work on annual and monthly means to reduce the scatter and produce better estimates.
Publisher: Texas A&M University
Subject: Mean Annual
Mean Monthly
Flow
Ungaged
Statistical Model
URI: http://hdl.handle.net/1969.1/192
Date: 2003-12

Citation

Sukheswalla, Zubin Rohinton (2003). A statistical model for estimating mean annual and mean monthly flows at ungaged locations. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from http : / /hdl .handle .net /1969 .1 /192.

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