Experimental shifts of hydrologic residence time in a sandy urban stream sediment–water interface alter nitrate removal and nitrous oxide fluxes

2020 ◽  
Vol 149 (2) ◽  
pp. 195-219
Author(s):  
Tyler B. Hampton ◽  
Jay P. Zarnetske ◽  
Martin A. Briggs ◽  
Farzaneh MahmoodPoor Dehkordy ◽  
Kamini Singha ◽  
...  
2020 ◽  
Vol 5 (1) ◽  
pp. 27-35
Author(s):  
Fivi Elvira Sirajuddin ◽  
Muhammad Fadly Saleh

This experimental study aims to determine the most optimal biofiltration media composition for domestic wastewater treatment using 4 upflow biofilter reactors with a combining pumice and coconut shell charcoal as an media filter. ,The combination ratio of media filter is UAF 1 = 1: 0, UAF 2 = 2: 1, UAF 3 = 1: 2, and UAF 4 = 1 : 1 with an overall filter media thickness of 60 cm. Sampling time is done every 2 days for 16 day were taken at the four experimental reactors to be tested for each parameter of pH, COD, nitrate and ammonia. The method of analysis carried out after obtaining data from testing in the laboratory, that is descriptively related to variations in filter media, and the residence time of wastewater in the reactor. The results showed that the reactor with the best processing in normalizing pH was UAF 1. While the best filter media composition in COD and nitrate removal was UAF 3 reactor with 77.78% and 87.17% removal results. Ammonia removal occurred throughout the experimental reactor with a result <-0.05 mg / l was considered quite good and indicated the decomposition process was successful. Penelitian ini dilakukan untuk menentukan komposisi media biofiltrasi yang paling optimal untuk pengolahan air limbah domestik dengan menggunakan 4 reaktor upflow biofilter dengan mengkombinasikan batu apung dan arang tempurung kelapa sebagai media filter. Rasio dari kombinasi media filter tersebut adalah UAF 1 = 1:0, UAF 2 = 2:1, UAF 3=1:2, dan UAF 4=1:1 dengan ketebalan media filter secara keseluruhan 60 cm. Waktu pengambilan sampel dilakukan setiap 2 hari selama 16 hari. Pengambilan sampel dilakukan pada keempat reaktor percobaan untuk diujikan masing-masing parameter pH, COD, nitrat dan amoniak. Metode analisa yang dilakukan setelah mendapatkan data dari pengujian di laboratorium, yaitu secara deskriptif terkait dengan variasi media filter, dan waktu tinggal air limbah dalam reaktor. Hasil penelitian menunjukkan reaktor yang paling baik pengolahannya dalam menormalkan pH adalah UAF 1. Sementara komposisi media filter yang paling baik dalam penyisihan COD dan nitrat adalah reaktor UAF 3 dengan hasil penyisihan sebesar 77,78% dam 87,17%. Penyisihan amoniak terjadi di seluruh reaktor percobaan dengan hasil <-0,05 mg/l dinilai cukup baik dan mengindikasikan proses penguraian polutan berjalan dengan baik.


2021 ◽  
Author(s):  
Gesa Schulz ◽  
Tina Sanders ◽  
Justus E. E. van Beusekom ◽  
Yoana G. Voynova ◽  
Andreas Schöl ◽  
...  

Abstract. Estuaries are nutrient filters and change riverine nutrient loads before they reach coastal oceans. They have been extensively changed by anthropogenic activities like draining, deepening, and dredging to meet economic and social demand, causing significant regime changes like tidal amplifications and in some cases to hyper-turbid conditions. Furthermore, increased nutrient loads, especially nitrogen, mainly by agriculture cause coastal eutrophication. Estuaries can either act as a sink or as a source of nitrate, depending on environmental and geomorphological conditions. These factors vary along an estuary, and change nitrogen turnover in the system. Here, we investigate the factors controlling nitrogen turnover in the hyper-turbid Ems estuary (Northern Germany) that has been strongly impacted by human activities. During two research cruises in August 2014 and June 2020, we measured water column properties, dissolved inorganic nitrogen, dual stable isotopes of nitrate and dissolved nitrous oxide concentration along the estuary. Overall, the Ems estuary acts as a nitrate sink in both years. However, three distinct biogeochemical zones exist along the estuary. A strong fractionation (~ 26 ‰) of nitrate stable isotopes points towards nitrate removal via water column denitrification in the hyper-turbid Tidal River, driven by anoxic conditions in deeper water layers. In the Middle Reaches of the estuary nitrification gains in importance turning this section into a net nitrate source. The Outer Reaches are dominated by mixing with nitrate uptake in 2020. We find that the overarching control on biogeochemical nitrogen cycling, zonation and nitrous oxide production in the Ems estuary is exerted by suspended particulate matter concentrations and the linked oxygen deficits.


2019 ◽  
Vol 237 ◽  
pp. 424-432 ◽  
Author(s):  
E.A. Martin ◽  
M.P. Davis ◽  
T.B. Moorman ◽  
T.M. Isenhart ◽  
M.L. Soupir

2013 ◽  
Vol 10 (5) ◽  
pp. 8637-8683
Author(s):  
T. R. Marwick ◽  
F. Tamooh ◽  
B. Ogwoka ◽  
C. Teodoru ◽  
A. V. Borges ◽  
...  

Abstract. As part of a broader study on the riverine biogeochemistry in the Athi–Galana–Sabaki (A–G–S) River catchment (Kenya), we present data constraining the sources, transit and transformation of multiple nitrogen (N) species as they flow through the A–G–S catchment (~47 000 km2). The data-set was obtained in August–September 2011, November 2011, and April–May 2012, covering the dry season, short-rain season and long-rain season respectively. Release of, largely untreated, waste water from the city of Nairobi had a profound impact on the biogeochemistry of the upper Athi river, leading to low dissolved oxygen (DO) saturation levels (67–36%), high ammonium (NH4+) concentrations (1193–123 μmol L−1), and high dissolved methane (CH4) concentrations (6729–3765 nmol L−1). Total dissolved inorganic nitrogen (DIN) concentrations entering the study area were highest during the dry season (1195 μmol L−1), while total DIN concentration was an order of magnitude lower during the short and long rain seasons (212 and 193 μmol L−1, respectively). During the rain seasons, low water residence time led to relatively minimal instream N-cycling prior to discharge to the ocean. Conversely, increased residence time during the dry season creates two differences comparative to wet season conditions, where (1) intense cycling and removal of DIN in the upper- to mid-catchment leads to significantly less DIN export during the dry season, and (2) as a result of the intense DIN cycling, dry season particulate N export is significantly enriched in the N stable isotope ratio (δ15NPN), strongly reflecting the dominance of organic matter as the prevailing source of riverine nitrogen. The rapid removal of NH4+ in the upper study area during the dry season was accompanied by a quantitatively similar production of NO3− and nitrous oxide (N2O) downstream, pointing towards strong nitrification over this reach during the dry season. Nitrous oxide produced was rapidly degassed downstream, while the elevated NO3− concentrations steadily decreased to levels observed elsewhere in more pristine African river networks. Low pelagic primary production rates over the same reach suggest that benthic denitrification was the dominant process controlling the removal of NO3−, although large cyanobacterial blooms further downstream highlight the significant role of DIN assimilation by primary producers in the drainage network. The intense upper- to mid-catchment N-cycling leads to a significantly enriched δ15NPN during the dry season (mean: +16.5 ± 8.2‰ but reaching as high as +31.5‰) compared to the short (+7.3 ± 2.6‰) and long (+7.6 ± 5.9‰) rain seasons. A strong correlation found between seasonal δ15NPN and oxygen stable isotope ratios (δ18OH2O; as a proxy of freshwater discharge) presents the possibility of employing a combination of proxies, such as δ15NPN of sediments, bivalves and near-shore corals, to reconstruct how historical land-use changes have influenced nitrogen cycling within the catchment, whilst potentially providing foresight in the impacts of future land management decisions.


2019 ◽  
Vol 138 ◽  
pp. 200-208 ◽  
Author(s):  
Hualei Yang ◽  
Xuechu Chen ◽  
Jianwu Tang ◽  
Lu Zhang ◽  
Chunsong Zhang ◽  
...  

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