Reliability analysis of nutrient removal from stormwater runoff with green sorption media under varying influent conditions



J. Jones; N. B. Chang;M. P. Wanielista


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Abbreviated Journal Title

Sci. Total Environ.


Sorption media; Stormwater management; Nutrient removal; Hydraulic; retention time; Reliability analysis; Sustainability; ADSORPTIVE REMOVAL; SOLID-SURFACES; PHOSPHORUS; PHOSPHATE; WATER; EFFICIENCY; ATTACHMENT; RETENTION; PONDS; Environmental Sciences


To support nutrient removal, various stormwater treatment technologies have been developed via the use of green materials, such as sawdust, tire crumbs, sand, clay, sulfur, and limestone, as typical constituents of filter media mixes. These materials aid in the physiochemical sorption and precipitation of orthophosphates as well as in the biological transformation of ammonia, nitrates and nitrites. However, these processes are dependent upon influent conditions such as hydraulic residence time, influent orthophosphate concentrations, and other chemical species present in the inflow. This study aims to compare the physiochemical removal of orthophosphate by isotherm and column tests under differing influent conditions to realize the reliability of orthophosphate removal process with the aid of green sorption media. The green sorption media of interest in this study is composed of a 5:2:2:1 (by volume) mixture of cement sand, tire crumb, fine expanded clay, and limestone. Scenarios of manipulating the hydraulic residence time of the water from 18 min and 60 min, the influent dissolved phosphorus concentrations of 1.0 mg. L-1 and 0.5 mg. L-1, and influent water types of distilled and pond water, were all investigated in the column tests. Experimental data were compared with the outputs from the Thomas Model based on orthophosphate removal to shed light on the equilibrium condition versus kinetic situation. With ANOVA tests, significant differences were confirmed between the experimental data sets of the breakthrough curves in the column tests. SEM imaging analysis helps to deepen the understanding of pore structures and pore networks of meta-materials being used in the green sorption media. Life expectancy curves derived from the output of Thomas Model may be applicable for future system design of engineering processes. (C) 2014 Elsevier B.V. All rights reserved.

Journal Title

Science of the Total Environment



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