About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Elemental sulfur-driven autotrophic denitrification for advanced nitrogen removal from mature landfill leachate after PN/A pretreatment

From

Sun Yat-Sen University1

Water Technology & Processes, Department of Environmental Engineering, Technical University of Denmark2

Department of Environmental Engineering, Technical University of Denmark3

Guangzhou University4

Shenzhen Lisai Industrial Development Co Ltd5

Elemental sulfur-driven autotrophic denitrification (S0dAD) was applied in a packed-bed reactor to remove residual nitrogen from raw mature landfill leachate after partial nitritation and anaerobic ammonium oxidation (anammox) (PN/A) pretreatment. The performance and stability of S0dAD were evaluated with different NOx− (nitrate and nitrite) loadings and hydraulic retention time (HRT) at 15–28 °C over an operational period of 240 days.

Stable and high NOx− removal efficiency (NRE) of 96.6 ± 1.9% was determined under a stepwise decrease in HRT (from 9 h to 2 h), resulting in low total nitrogen concentrations of 24.0 ± 3.9 mg-N/L in the effluent. The circumneutral pH, associated with efficient elemental sulfur supply, facilitated to maintain the high NRE of S0dAD, which contributed to over 86.3% of the total NOx− removal in packed-bed reactor.

Biomass in S0dAD packed-bed reactor was highly enriched with sulfur-oxidizing bacteria (SOB) (58.4%), including a predominant genus of Thiobacillus (47.7%) and two less-abundant genera of Sulfurimonas (4.5%) and Sulfurovum (5.5%). This study highlights the potential implementation of S0dAD coupled with PN/A process for advanced nitrogen removal from carbon-deficient ammonium-laden wastewater, particularly mature landfill leachate.

Language: English
Year: 2021
Pages: 128256
ISSN: 18733212 and 13858947
Types: Journal article
DOI: 10.1016/j.cej.2020.128256
ORCIDs: Su, Qingxian

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis