Sentence examples for removal coefficient from inspiring English sources

Values of this removal coefficient were found to depend on temperature and HRT.

Experimental data from these CW units were used in estimating the BOD removal coefficient, required in the above modeling effort.

The thesis of this application is to focus on the first-order BOD removal coefficient (K), making corrections due to temperature, organic load, toxic contaminants, and solar radiation (Thirumurthi 1974).

Therefore, the initial pH for all the dyes (coefficient b3), the interaction of the dye concentration and initial pH for AB1 and AY19 removal (coefficient b23), and the interaction of initial pH and the temperature for AO7 removal (coefficients b34) are the most influential factors.

The Everglades Water Quality Model (EWQM), a mass-balance gradient approach used to track phosphorus according to a simple net phosphorus removal coefficient, was used to design Storm Water Treatment Areas (STA) and to evaluate where and when phosphorus 'thresholds' would be exceeded under various hydrologic restoration plans.

The removal coefficients are larger than 85%.

Experimental data collected include removal rate, coefficient of friction, shear force variance, pad temperature and dynamic mechanical analyzer measurements.

Nimenya et al. (1999) concluded the highly significant linear correlation between dose of ERY (10, 20, 40, and 80 mg/L) and its inhibition on ammonia removal (correlation coefficient r = 0.890, probability value p < 0.05) and nitrate production (r = 0.937, p < 0.05), in which the reported inhibition percentage of ammonium oxidation and nitrate production was 0.20% and 0.28% at ERY of 1 mg/L.

The results show that effective volume ratio has a clear influence, which increases when removal rate coefficients increase, while dispersion is of minor importance for removal efficiency.

With increased mass loading, removal rate coefficients for nickel and zinc increased from 0.074 to 0.565 d−1 and from 0.196 to 1.08 d−1, respectively.

Variables included in the multivariable model were then removed one at a time; if removal changed the coefficient of any independent variable by ≥10%%, the removed variable was included as a confounder in the final model.