Deciphering and modeling the physicochemical drivers of denitrification rates in bioreactors

被引:39
作者
Schmidt, Casey A. [1 ]
Clark, Mark W. [2 ]
机构
[1] Univ Nevada, Desert Res Inst, 2215 Raggio Pkwy, Reno, NV 89506 USA
[2] Univ Florida, Soil & Water Sci Dept, Gainesville, FL USA
关键词
Denitrification wall; Bioreactor; Groundwater; Denitrification rate; Multivariate analysis; Temperature; Surface area; Carbon quality; NITRATE REMOVAL; CARBON; WALL; PERFORMANCE; NUTRIENT; GROUNDWATER; BARRIERS; NITROGEN;
D O I
10.1016/j.ecoleng.2013.07.041
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Denitrification bioreactors have served as effective artificial N sinks by stimulating denitrification and remediating excessive nitrate. Predictions on bioreactor performance will be improved by quantifying the relationship between denitrification rates and causal factors which vary by geography (temperature), land-use intensity (NO3 concentration) and media type (carbon quality, quantity, and surface area). Experimental mesocosms filled with different wood media types (oak, pine), particle sizes and wood-sand volume ratios were exposed to flowing high-nitrate groundwater across a range of seasonal groundwater temperatures (8-24 degrees C) to determine the influence of these coarse but utilitarian parameters on bioreactor performance. To increase the transferability and specificity of findings, a multivariate analysis was used to quantify relationships between denitrification rates, microbial biomass, temperature, media surface area to volume ratio and metrics of C quality to guide de novo media selection and performance predictions. There were no strong differences in hydraulic conductivity, media consumption rates, and TKN flux between different treatments although increasing the wood-sand volume ratio alone produced significant increases in denitrification rates and undesirable DOC leaching. Fluxes of DOC and TKN also increased with higher hydraulic loading rates. Denitrification rates were unresponsive to nitrate concentration and most strongly influenced by groundwater temperature (Q(10) = 4.7), although carbon bioavailability and media surface area were uniquely predictive of denitrification rates. Bioreactor performance will therefore be most strongly influenced by geographical variations in temperature, although within a specific location, bioreactor media selection will influence denitrification rates. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:276 / 288
页数:13
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