Maximum Rates of Nitrate Removal in a Denitrification Wall

2005 ◽  
Vol 34 (4) ◽  
pp. 1270-1276 ◽  
Author(s):  
Louis A. Schipper ◽  
Gregory F. Barkle ◽  
Maja Vojvodic-Vukovic
2004 ◽  
Vol 69 (3-4) ◽  
pp. 263-279 ◽  
Author(s):  
Louis A. Schipper ◽  
Gregory F. Barkle ◽  
John C. Hadfield ◽  
Maja Vojvodic-Vukovic ◽  
Craig P. Burgess

2017 ◽  
Vol 106 ◽  
pp. 523-531 ◽  
Author(s):  
Rui Li ◽  
Chuanping Feng ◽  
Beidou Xi ◽  
Nan Chen ◽  
Yu Jiang ◽  
...  

2011 ◽  
Vol 140 (3-4) ◽  
pp. 514-520 ◽  
Author(s):  
Lauren M. Long ◽  
Louis A. Schipper ◽  
Denise A. Bruesewitz

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3608
Author(s):  
Fabio Manca ◽  
Carla Wegscheidl ◽  
Rhianna Robinson ◽  
Suzette Argent ◽  
Christopher Algar ◽  
...  

In Australia, declining water quality in the Great Barrier Reef (GBR) is a threat to its marine ecosystems and nitrate (NO3−) from sugar cane-dominated agricultural areas in the coastal catchments of North Queensland is a key pollutant of concern. Woodchip bioreactors have been identified as a potential low-cost remediation technology to reduce the NO3− runoff from sugar cane farms. This study aimed to trial different designs of bioreactors (denitrification walls and beds) to quantify their NO3− removal performance in the distinct tropical climates and hydrological regimes that characterize sugarcane farms in North Queensland. One denitrification wall and two denitrification beds were installed to treat groundwater and subsurface tile-drainage water in wet tropics catchments, where sugar cane farming relies only on rainfall for crop growth. Two denitrification beds were installed in the dry tropics to assess their performance in treating irrigation tailwater from sugarcane. All trialled bioreactors were effective at removing NO3−, with the beds exhibiting a higher NO3− removal rate (NRR, from 2.5 to 7.1 g N m−3 d−1) compared to the wall (0.15 g N m−3 d−1). The NRR depended on the influent NO3− concentration, as low influent concentrations triggered NO3− limitation. The highest NRR was observed in a bed installed in the dry tropics, with relatively high and consistent NO3− influent concentrations due to the use of groundwater, with elevated NO3−, for irrigation. This study demonstrates that bioreactors can be a useful edge-of-field technology for reducing NO3− in runoff to the GBR, when sited and designed to maximise NO3− removal performance.


2001 ◽  
Vol 35 (14) ◽  
pp. 3473-3477 ◽  
Author(s):  
Louis A Schipper ◽  
Maja Vojvodić-Vuković

2012 ◽  
Vol 11 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Liliana Lazar ◽  
Laura Bulgariu ◽  
Anca Ceica ◽  
Igor Cretescu ◽  
Ion Balasanian

2006 ◽  
Vol 6 (2) ◽  
pp. 125-130
Author(s):  
C.-H. Hung ◽  
K.-H. Tsai ◽  
Y.-K. Su ◽  
C.-M. Liang ◽  
M.-H. Su ◽  
...  

Due to the extensive application of artificial nitrogen-based fertilizers on land, groundwater from the central part of Taiwan faces problems of increasing concentrations of nitrate, which were measured to be well above 30 mg/L all year round. For meeting the 10 mg/L nitrate standard, optimal operations for a heterotrophic denitrification pilot plant designed for drinking water treatment was investigated. Ethanol and phosphate were added for bacteria growing on anthracite to convert nitrate to nitrogen gas. Results showed that presence of high dissolved oxygen (around 4 mg/L) in the source water did not have a significantly negative effect on nitrogen removal. When operated under a C/N ratio of 1.88, which was recommended in the literature, nitrate removal efficiency was measured to be around 70%, sometimes up to 90%. However, the reactor often underwent severe clogging problems. When operated under C/N ratio of 1.0, denitrification efficiency decreased significantly to 30%. Finally, when operated under C/N ratio of 1.5, the nitrate content of the influent was almost completely reduced at the first one-third part of the bioreactor with an overall removal efficiency of 89–91%. Another advantage for operating with a C/N ratio of 1.5 is that only one-third of the biosolids was produced compared to a C/N value of 1.88.


2018 ◽  
Author(s):  
Bahareh Hassanpour Guilvaiee ◽  
◽  
Tammo Steenhuis ◽  
Larry Geohring

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