Continuous Ammonia Emission Measurements from a Commercial Beef Feedyard in Texas

Rhoades, Marty B.; Parker, David B.; Cole, N. A.; Todd, Richard W.; Caraway, Edward A.; Auvermann, Brent W.; Topliff, D.R.; Schuster, Greta

doi:10.13031/2013.35808

Cited by 32 publications

(23 citation statements)

References 25 publications

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“…Based on a map of the feedlot pens and sensor locations, CH 4 concentrations and wind information is used in WindTrax to calculate cattle emissions. The IDM‐WindTrax approach has been successfully used to quantify agricultural emissions (Flesch et al, 2007; McGinn et al, 2007; van Haarlem et al, 2008; Rhoades et al, 2010; Laubach et al, 2014; Todd et al, 2014; Bai et al, 2015; Lin et al, 2015; Prajapati and Santos, 2018). …”

Section: Methodsmentioning

confidence: 99%

Micrometeorological Methods for Measuring Methane Emission Reduction at Beef Cattle Feedlots: Evaluation of 3‐Nitrooxypropanol Feed Additive

et al. 2019

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It is highly desirable to test agricultural emission mitigation strategies in a whole‐farm environment to ensure that all aspects of management and production operations are included. However, the large spatial scale of commercial operations makes the dual measurements of control and treatment(s) difficult. We evaluated the application of two micrometeorological methods, a novel concentration ratio method and an inverse dispersion method, where both were used to measure methane (CH4) emission reductions in cattle fed the compound 3‐nitrooxypropanol compared with cattle fed just the basal diet. In total, there were 1344 cattle used that were located in six pens (∼222 animals per pen). Three adjacent pens to the east and three to the west were designated as the treatment and control blocks, respectively. Underlying the emission reduction method was the assumption of site symmetry between the treatment and control pen blocks in the feedlot. There was, on average, a large CH4 emission reduction of ∼70% (±18%) due to the additive as found by both micrometeorological methods. Both methods also show a change in the diel distribution (peak emissions after initial morning feeding) and seasonal pattern (a decrease in emission reduction of 7.5 and 26.1% over 90 d). The simplicity of the developed concentration ratio method is expected to have applications for evaluating other mitigation strategies at large commercial scales (e.g., the application of manure additives to pens to reduce odors and ammonia emissions). Core Ideas Treatment to control concentration yields methane emission reduction percentage. Feed additive 3‐nitrooxypropanol reduces enteric methane of cattle by 70%. Emission reduction in enteric methane decreased with time over 92 d.

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Section: Methodsmentioning

confidence: 99%

Micrometeorological Methods for Measuring Methane Emission Reduction at Beef Cattle Feedlots: Evaluation of 3‐Nitrooxypropanol Feed Additive

et al. 2019

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“…The insights generated from tree and ensemble-based modeling were integrated with GIS, to understand the spatial patterns of influencing variables, and are summarized in Figure 6. Nitrogen deposition in rural areas is a strong function of confined animal feed operations (CAFOs) [80], which are considered a significant source of ammonia emissions in West Texas [81]. There are a greater number of CAFOs in the northern portion of the study area (see Figure 7), which explains the greater influence of nitrogen deposition rate in the north.…”

Section: Spatial Patterns Of Controlling Factorsmentioning

confidence: 99%

Tree-Based Modeling Methods to Predict Nitrate Exceedances in the Ogallala Aquifer in Texas

Uddameri

Silva

Singaraju

et al. 2020

Water

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The performance of four tree-based classification techniques-classification and regression trees (CART), multi-adaptive regression splines (MARS), random forests (RF) and gradient boosting trees (GBT) were compared against the commonly used logistic regression (LR) analysis to assess aquifer vulnerability in the Ogallala Aquifer of Texas. The results indicate that the tree-based models performed better than the logistic regression model, as they were able to locally refine nitrate exceedance probabilities. RF exhibited the best generalizable capabilities. The CART model did better in predicting non-exceedances. Nitrate exceedances were sensitive to well depths-an indicator of aquifer redox conditions, which, in turn, was controlled by alkalinity increases brought forth by the dissolution of calcium carbonate. The clay content of soils and soil organic matter, which serve as indicators of agriculture activities, were also noted to have significant influences on nitrate exceedances. Likely nitrogen releases from confined animal feedlot operations in the northeast portions of the study area also appeared to be locally important. Integrated soil, hydrogeological and geochemical datasets, in conjunction with tree-based methods, help elucidate processes controlling nitrate exceedances. Overall, tree-based models offer flexible, transparent approaches for mapping nitrate exceedances, identifying underlying mechanisms and prioritizing monitoring activities.Water 2020, 12, 1023 2 of 27 worldwide [5,6]. Intensification of agricultural activities for both food and energy will further increase the risks of nitrate contamination in aquifers across the world [7][8][9].Nitrate is mobile and fairly recalcitrant, especially in shallow groundwater systems that typically tend to be under oxidizing conditions. Nitrate exhibits the ability to spread over large areas and cannot be treated in-situ using conventional plume scale treatment technologies [10]. Therefore, individual homeowners are often required to install costly point-of-use treatment systems to mitigate nitrate risks arising from the ingestion of contaminated groundwater [11,12]. However, as nitrate is colorless and odorless, many people do not realize the risk of nitrate contamination and are unwittingly exposed to elevated levels of nitrate over long periods of time [13]. Therefore, nitrate contamination must be prevented through proper land management practices. Additionally, areas with a high susceptibility to nitrate pollution must be carefully delineated, with the goal of increasing public awareness regarding elevated health risks arising from nitrate exposures. Such an effort is also useful to prioritize monitoring activities and ensure that the limited fiscal and logistic resources are being used in a prudent manner.Mapping the susceptibility of aquifers to nitrate contamination is an essential step in mitigating and managing nitrate contamination. Multi-criteria decision making (MCDM) methods, such as DRASTIC [14], have been widely used to map aquifer vulnerabili...

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“…Urea is rapidly converted to NH 3 via the enzyme urease (Hausinger, 2004) in a reaction that is pH dependent. When the pH is ≤6.5, little NH 3 is volatilized (Rhoades et al, 2010), whereas a pH of 7 to 10 is ideal for NH 3 volatilization (Hartung and Phillips, 1994). Bedded packs containing greater than 80% pine chips had significantly lower pH values than bedded packs with higher corn stover content (Table 2).…”

Section: Ammoniamentioning

confidence: 99%

Ammonia, Total Reduced Sulfides, and Greenhouse Gases of Pine Chip and Corn Stover Bedding Packs

et al. 2016

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Bedding materials may affect air quality in livestock facilities. Our objective in this study was to compare headspace concentrations of ammonia (NH), total reduced sulfides (TRS), carbon dioxide (CO), methane (CH), and nitrous oxide (NO) when pine wood chips ( spp.) and corn stover ( L.) were mixed in various ratios (0, 10, 20, 30, 40, 60, 80, and 100% pine chips) and used as bedding with manure. Air samples were collected from the headspace of laboratory-scaled bedded manure packs weekly for 42 d. Ammonia concentrations were highest for bedded packs containing 0, 10, and 20% pine chips (equivalent to 501.7, 502.3, and 502.3 mg m, respectively) in the bedding mixture and were lowest when at least 80% pine chips were used as bedding (447.3 and 431.0 mg m, respectively for 80 and 100% pine chip bedding). The highest NH concentrations were observed at Day 28. The highest concentration of TRS was observed when 100% pine chips were used as bedding (11.4 µg m), with high concentrations occurring between Days 7 and 14, and again at Day 35. Greenhouse gases were largely unaffected by bedding material but CH and CO concentrations increased as the bedded packs aged and NO concentrations were highly variable throughout the incubation. We conclude that a mixture of bedding material that contains 30 to 40% pine chips may be the ideal combination to reduce both NH and TRS emissions. All gas concentrations increased as the bedded packs aged, suggesting that frequent cleaning of facilities would improve air quality in the barn, regardless of bedding materials used.

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Continuous Ammonia Emission Measurements from a Commercial Beef Feedyard in Texas

Cited by 32 publications

References 25 publications

Micrometeorological Methods for Measuring Methane Emission Reduction at Beef Cattle Feedlots: Evaluation of 3‐Nitrooxypropanol Feed Additive

Micrometeorological Methods for Measuring Methane Emission Reduction at Beef Cattle Feedlots: Evaluation of 3‐Nitrooxypropanol Feed Additive

Tree-Based Modeling Methods to Predict Nitrate Exceedances in the Ogallala Aquifer in Texas

Ammonia, Total Reduced Sulfides, and Greenhouse Gases of Pine Chip and Corn Stover Bedding Packs

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