Methane and carbon dioxide emissions from manure storage facilities at two free-stall dairies

Grant, Richard H.; Boehm, Matthew T.; Bogan, Bill W.

doi:10.1016/j.agrformet.2015.06.008

Cited by 30 publications

(27 citation statements)

References 19 publications

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“…Due to the presence of the acid-base pair NH 3 /NH 4 + [16], the pH of manure is generally between 6 and 8 [2]. In storage tanks, CO 2 is produced in aerobic zones due to the biological oxidation of biodegradable carbon [17,18].…”

Section: Liquid Manurementioning

confidence: 99%

Biodeterioration of concrete in agricultural, agro-food and biogas plants: state of the art and challenges

Bertron¹,

Lavigne

Patapy

et al. 2017

RILEM Tech Lett

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This article reviews the state of knowledge on the mechanisms of deterioration of concrete by agricultural and agro-industrial effluents, notably breeding effluents and biowaste valorised in anaerobic digestion plants. The main physicochemical characteristics of agricultural effluents are first listed in terms of components that are aggressive for cementitious materials. Then, the main mechanisms of deterioration of the cementitious materials exposed to the effluents are presented, as highlighted by laboratory studies (synthetic effluents and / or models, specific experimental devices) or with real effluents. The paper also points out the scientific and technical advances needed to improve the durability of concrete in these environments.

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Section: Liquid Manurementioning

confidence: 99%

Biodeterioration of concrete in agricultural, agro-food and biogas plants: state of the art and challenges

Bertron¹,

Lavigne

Patapy

et al. 2017

RILEM Tech Lett

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“…There is a paucity of studies that have examined enteric CH 4 emissions and emissions related to manure management from within the region. Methane emissions have been reported for dairy manure storage facilities in Wisconsin (a simple storage basin) and Indiana (a storage lagoon, in which solids had previously been removed) (Grant et al, ). On a per animal basis, CH 4 emissions were larger from the storage basin than the lagoon with mean daily emissions of 295 g CH 4 head −1 d −1 (374 g AU −1 d −1 ) and 47 g CH 4 head −1 d −1 (59 g AU −1 d −1 ), respectively (AU represents Animal Unit, where 1 AU = 500 kg live weight).…”

Section: Introductionmentioning

confidence: 99%

“…The relative lower emissions from the lagoon storage facility were attributed to the lower availability of carbon due to removal of solids prior to storage. The area‐based flux estimates were 94 kg CH 4 m −2 yr −1 and 80 kg CH 4 m −2 yr −1 , respectively, and were estimated to be less than the enteric emissions from these farms (Grant et al, ).…”

Section: Introductionmentioning

confidence: 99%

Source Partitioning of Methane Emissions and its Seasonality in the U.S. Midwest

et al. 2018

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The methane (CH4) budget and its source partitioning are poorly constrained in the Midwestern United States. We used tall tower (185 m) aerodynamic flux measurements and atmospheric scale factor Bayesian inversions to constrain the monthly budget and to partition the total budget into natural (e.g., wetlands) and anthropogenic (e.g., livestock, waste, and natural gas) sources for the period June 2016 to September 2017. Aerodynamic flux observations indicated that the landscape was a CH4 source with a mean annual CH4 flux of +13.7 ± 0.34 nmol m−2 s−1 and was rarely a net sink. The scale factor Bayesian inversion analyses revealed a mean annual source of +12.3 ± 2.1 nmol m−2 s−1. Flux partitioning revealed that the anthropogenic source (7.8 ± 1.6 Tg CH4 yr−1) was 1.5 times greater than the bottom‐up gridded United States Environmental Protection Agency inventory, in which livestock and oil/gas sources were underestimated by 1.8‐fold and 1.3‐fold, respectively. Wetland emissions (4.0 ± 1.2 Tg CH4 yr−1) were the second largest source, accounting for 34% of the total budget. The temporal variability of total CH4 emissions was dominated by wetlands with peak emissions occurring in August. In contrast, emissions from oil/gas and other anthropogenic sources showed relatively weak seasonality.

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“…methane (CH4) or ammonia (NH3), have been investigated using this model (e.g. Carozzi et al, 2013;Flesch et al, 2009;Grant et al, 2015;Harper et al, 2010;McGinn et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Accounting for Field-Scale Dry Deposition in Backward Lagrangian Stochastic Dispersion Modelling of NH<sub>3</sub> Emissions

Häni¹,

Fléchard²,

Neftel³

et al. 2018

Preprint

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A controlled ammonia (NH3) release experiment was performed at a grassland site to quantify the effect of dry deposition, at the field scale between the source and the receptors (NH3 measurement locations), on the estimates of emission rates by means of inverse dispersion modelling. NH3 was released for 3 hours at a constant rate of Q = 6.29 mg s−1 from a grid of 36 orifices spread over an area of 250 m2. The increase in line-integrated NH3 concentration was measured with open-path optical miniDOAS devices at different locations downwind of the artificial source. Using a backward Lagrangian stochastic (bLS) dispersion model (bLSmodelR), the fraction of the modelled release rate to the emitted NH3 (QbLS/Q) was calculated from the measurements of the individual instruments. QbLS/Q was found to be systematically lower than 1, on average between 0.69 and 0.91, depending on the location of the receptor. We hypothesized that NH3 dry deposition to grass and soil surfaces was the main factor responsible for the observed depletion of NH3 between source and receptor. A dry deposition algorithm based on a deposition velocity approach was included in the bLS modelling. Model deposition velocities were evaluated from a ‘big‑leaf’ canopy resistance analogy. Canopy resistances (generally termed Rc) that provided QbLS/Q = 1 ranged from 75 to 290 s m−1, showing that surface removal of NH3 by dry deposition can plausibly explain the original underestimation of QbLS/Q. The inclusion of a dry deposition process in dispersion modelling is crucial for emission estimates, which are based on concentration measurements of depositing tracers downwind of homogeneous area sources or heterogeneously distributed hot spots, such as e.g. urine patches on pastures in the case of NH3.

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Methane and carbon dioxide emissions from manure storage facilities at two free-stall dairies

Cited by 30 publications

References 19 publications

Biodeterioration of concrete in agricultural, agro-food and biogas plants: state of the art and challenges

Biodeterioration of concrete in agricultural, agro-food and biogas plants: state of the art and challenges

Source Partitioning of Methane Emissions and its Seasonality in the U.S. Midwest

Accounting for Field-Scale Dry Deposition in Backward Lagrangian Stochastic Dispersion Modelling of NH<sub>3</sub> Emissions

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