ECONOMICS OF CONTROLLING NATURAL SALT SOURCES IN THE ARKANSAS RIVER BASIN<sup>1</sup>

Olson, Kent W.

doi:10.1111/j.1752-1688.1980.tb02393.x

Cited by 1 publication

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References 5 publications

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“…A literature search revealed that little has been published regarding natural salt estimation. Most references found focus on the socioeconomic impacts of salinity (Huizenga 1980;Olson 1980;Brown 1984;Lee et al 1993). However, modeling efforts in the Brazos and Colorado River basins published their salt estimation techniques and we briefly review those efforts calculated natural salt in the Brazos River basin by adding the salt load associated with reservoir storage and diversions, and removing the salt load associated with reservoir releases and return flows from the measured historic salt load.…”

Section: Of the International Boundary And Water Commission Unitedmentioning

confidence: 99%

Statistical Nonparametric Model for Natural Salt Estimation

et al. 2005

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Many rivers in the Western U.S. suffer from high salinity content due to both natural and human-induced causes. Computer simulation models are often used to estimate future salinity levels and identify mitigation needs. To date, estimation of future natural salt loading has utilized linear relationships between natural flow and natural salt. We develop a nonparametric regression technique to fit a functional relationship between natural flow and natural salt. The main advantages of the nonparametric technique are: (1) No prior assumptions have to be made as to the underlying form of the relationship and (2) any arbitrary relationship (linear or nonlinear) can be modeled. In addition, we develop a resampling scheme to provide confidence intervals of the natural salt estimates from the nonparametric model. We apply this model to data from a stream gauge at Glenwood Springs, Colo., on the Colorado River. We show that the new natural salt model reduces the average overprediction of salt mass shown in the existing natural salt model for the period 1941-1995 by approximately 15% ͑78,000 metric tons͒.

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Section: Of the International Boundary And Water Commission Unitedmentioning

confidence: 99%