کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6302412 1618038 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Deciphering and modeling the physicochemical drivers of denitrification rates in bioreactors
ترجمه فارسی عنوان
رمزگشایی و مدلسازی ریزموهای فیزیکی و شیمیایی ضایعات در بیوراکتورها
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
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 °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 (Q10 = 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Engineering - Volume 60, November 2013, Pages 276-288
نویسندگان
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