Analysis of surface-water data network in Kansas for effectiveness in providing regional streamflow information

The use of GLS regression in regional hydrologic analyses

“…GLS has also been used as a regression method to regionalize flood quantiles using region-ofinfluence techniques (Tasker et al, 1996;Law and Tasker, 2003;Eng et al, 2005). And, GLS has been used as the basis of hydrologic network design (Medina, 1987;Tasker and Stedinger, 1989;Moss and Tasker, 1991;Soenksen et al, 1999). Reis et al (2005) and Gruber et al (2007) suggest a Bayesian analysis of the GLS model for hydrologic analyses.…”

A stream-gaging network analysis for the 7-day, 10-year annual low flow in New Hampshire streams

“…Although, in figures 3, 4, 5, and 6, it appears that the first 5 to 15 stations account for the largest percentage reduction in average sampling-error variance, the composition of the first 5 to 15 stations changes as a function of planning horizon and network strategy. Each station contributes to the overall information that is provided by the stream-gaging network; however, the amount of information provided depends on the variability of streamflow, the combination of physical and climatic characteristics, and the length of record at the end of each planning horizon (Medina, 1987). Because of this relation, each station has a unique affect on the average samplingerror variance.…”

“…Previous studies in which the network-analysis method was used to evaluate the effectiveness of a stream-gaging network to provide regional information include those for Kansas (Medina, 1987), Kentucky (Ruhl, 1993), and Ohio (Straub, 1998). In those studies, data from existing stations were used in combination with hypothetical stations to evaluate current and potentially new networks for various planning horizons.…”

Analysis of the peak-flow gaging network in North Dakota

“…These properties make the average sampling mean-square error a good criterion by which to evaluate the trade off between extended records and additional gaging stations in a network analysis (Ruhl, 1993). Further explanations and examples of using the GLS regression procedure for network analyses may be found in reports by Medina (1987), Omang (1992), and Ruhl (1993).…”