4.8 Article

A Tire-Sulfur Hybrid Adsorption Denitrification (T-SHAD) process for decentralized wastewater treatment

期刊

WATER RESEARCH
卷 61, 期 -, 页码 191-199

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2014.05.030

关键词

Decentralized wastewater systems; Denitrification; Scrap tire chips; Nitrate adsorption; Sulfur oxidation

资金

  1. International Research Staff Exchange Scheme Project [PIRSES-GA-2011-269255]
  2. NSF PIRE project: Context Sensitive Implementation of Synergistic Water-Energy Systems [1243510]
  3. Specific University Research [21/2013]
  4. Office Of The Director
  5. Office Of Internatl Science &Engineering [1243510] Funding Source: National Science Foundation

向作者/读者索取更多资源

Nitrogen discharges from decentralized wastewater treatment (DWT) systems contribute to surface and groundwater contamination. However, the high variability in loading rates, long idle periods and lack of regular maintenance presents a challenge for biological nitrogen removal in DWT. A Tire-Sulfur Hybrid Adsorption Denitrification (T-SHAD) process was developed that combines nitrate (NO3-) adsorption to scrap tire chips with sulfur-oxidizing denitrification. This allows the tire chips to adsorb NO3- when the influent loading exceeds the denitrification capacity of the biofilm and release it when NO3- loading rates are low (e.g. at night). Three waste products, scrap tire chips, elemental sulfur pellets and crushed oyster shells, were used as a medium in adsorption, leaching, microcosm and up-flow packed bed bioreactor studies of NO3- removal from synthetic nitrified DWT wastewater. Adsorption isotherms showed that scrap tire chips have an adsorption capacity of 0.66 g NO3--N kg(-1) of scrap tires. Leaching and microcosm studies showed that scrap tires leach bioavailable organic carbon that can support mixotrophic metabolism, resulting in lower effluent SO42- concentrations than sulfur oxidizing denitrification alone. In column studies, the T-SHAD process achieved high NO3--N removal efficiencies under steady state (90%), variable flow (89%) and variable concentration (94%) conditions. (C) 2014 Elsevier Ltd. All rights reserved.

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