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Numerical modeling of nitrogen removal through simultaneous nitritation, anammox and denitrification processes in biofilters.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Numerical modeling of nitrogen removal through simultaneous nitritation, anammox and denitrification processes in biofilters./
作者:	Shi, Shun.
面頁冊數:	1 online resource (84 pages)
附註:	Source: Masters Abstracts International, Volume: 74-09.
Contained By:	Masters Abstracts International74-09.
標題:	Water Resource Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1534069click for full text (PQDT)
ISBN:	9781267928436

Numerical modeling of nitrogen removal through simultaneous nitritation, anammox and denitrification processes in biofilters.
Shi, Shun.

Numerical modeling of nitrogen removal through simultaneous nitritation, anammox and denitrification processes in biofilters. - 1 online resource (84 pages)

Source: Masters Abstracts International, Volume: 74-09.

Thesis (M.S.)--State University of New York College of Environmental Science and Forestry, 2012.

Includes bibliographical references

Two process-based models were developed to predict nitrogen removal in biofilters. The first model simulated simultaneous nitritation and anammox (SNA) process in two marble chip biofilters designed to couple nitritation and anammox for nitrogen removal from organic-free, ammonium-rich wastewater. This model was the first attempt to simulate SNA in biofilters. Modeling showed that anammox contributed 34.8% of ammonium removal, supporting the design purpose of enhancing the coexistence of anammox bacteria and aerobic ammonium oxidizing bacteria. In order to achieve total inorganic nitrogen (TIN) removal, simultaneous nitritation, anammox and denitrification (SNAD) was introduced to a marble-slag biofilter for treatment of dairy wastewater. The second model attempted to simulate SNAD. Anammox and denitrification contributed 80.4% and 19.6% of TIN removal, respectively, supporting that the biofilter successfully enhanced TIN removal by employing SNAD. The proposed models are useful tools for evaluating and designing ecological treatment systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9781267928436Subjects--Topical Terms:

1669219
Water Resource Management.
Subjects--Index Terms:

AnammoxIndex Terms--Genre/Form:

542853
Electronic books.

Numerical modeling of nitrogen removal through simultaneous nitritation, anammox and denitrification processes in biofilters.
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500 $a Source: Masters Abstracts International, Volume: 74-09.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Tao, Wendong;Hassett, John.
502 $a Thesis (M.S.)--State University of New York College of Environmental Science and Forestry, 2012.
504 $a Includes bibliographical references
520 $a Two process-based models were developed to predict nitrogen removal in biofilters. The first model simulated simultaneous nitritation and anammox (SNA) process in two marble chip biofilters designed to couple nitritation and anammox for nitrogen removal from organic-free, ammonium-rich wastewater. This model was the first attempt to simulate SNA in biofilters. Modeling showed that anammox contributed 34.8% of ammonium removal, supporting the design purpose of enhancing the coexistence of anammox bacteria and aerobic ammonium oxidizing bacteria. In order to achieve total inorganic nitrogen (TIN) removal, simultaneous nitritation, anammox and denitrification (SNAD) was introduced to a marble-slag biofilter for treatment of dairy wastewater. The second model attempted to simulate SNAD. Anammox and denitrification contributed 80.4% and 19.6% of TIN removal, respectively, supporting that the biofilter successfully enhanced TIN removal by employing SNAD. The proposed models are useful tools for evaluating and designing ecological treatment systems.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Water Resource Management. $3 1669219
650 4 $a Environmental engineering. $3 548583
650 4 $a Water resources management. $3 794747
653 $a Anammox
653 $a Biofilters
653 $a Denitrification
653 $a Nitrification
653 $a Nitrogen removal
653 $a Process-based model
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690 $a 0775
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710 2 $a State University of New York College of Environmental Science and Forestry. $b Environmental & Resources Engineering. $3 1033918
773 0 $t Masters Abstracts International $g 74-09.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1534069 $z click for full text (PQDT)