Determining ammonia emissions from a cattle feedlot with an inverse dispersion technique

被引:153
|
作者
Flesch, T. K. [1 ]
Wilson, J. D.
Harper, L. A.
Todd, R. W.
Cole, N. A.
机构
[1] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada
[2] Univ Georgia, Dept Poultry Sci, Athens, GA 30602 USA
[3] USDA ARS, Bushland, TX USA
基金
加拿大自然科学与工程研究理事会;
关键词
trace gas fluxes; atmospheric dispersion; atmospheric deposition; ammonia fluxes; lagrangian stochastic models; inverse dispersion;
D O I
10.1016/j.agrformet.2007.02.006
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
An inverse-dispersion technique is used to calculate ammonia (NH3) gas emissions from a cattle feedlot. The technique relies on a simple backward Lagrangian stochastic (bLS) dispersion model to relate atmospheric NH3 concentration to the emission rate Q(bLS). Because the wind and the source configuration are complicated, the optimal implementation of the technique is unclear. Two categorically different measurement locations (for concentration and winds) are considered: within the feedlot and downwind. The in-feedlot location proved superior, giving a nearly continuous QbLS timeseries. We found average emissions of 0.15 kg NH3 animal(-1) day(-1) in both 2004 and 2005, representing a loss of 63% (2004) or 65% (2005) of the dietary nitrogen in the animal feed. Downwind measurement locations were less useful for several reasons: a narrow range of useable wind directions; ambiguity in the choice of wind statistics to use in the calculations; low NH3 concentrations; and downwind deposition of NH3. When addressing a large source (like a feedlot) that modifies the ambient wind flow, we recommend in-source measurements for use in inverse-dispersion applications. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:139 / 155
页数:17
相关论文
共 50 条
  • [1] Quantifying ammonia emissions from a cattle feedlot using a dispersion model
    McGinn, S. M.
    Flesch, T. K.
    Crenna, B. P.
    Beauchernin, K. A.
    Coates, T.
    JOURNAL OF ENVIRONMENTAL QUALITY, 2007, 36 (06): : 1585 - 1590
  • [2] AMMONIA AND AMINE EMISSIONS FROM A LARGE CATTLE FEEDLOT
    HUTCHINSON, GL
    MOSIER, AR
    ANDRE, CE
    JOURNAL OF ENVIRONMENTAL QUALITY, 1982, 11 (02) : 288 - 293
  • [3] Measuring ammonia emissions from vegetable greenhouses with an inverse dispersion technique
    Liao, Wenhua
    Wang, Sen
    Liu, Chunjing
    Gao, Zhiling
    Flesch, Thomas K.
    AGRICULTURAL AND FOREST METEOROLOGY, 2019, 278
  • [4] An inverse dispersion technique for the determination of ammonia emissions from urea-applied farmland
    Yang, Wenliang
    Zhu, Anning
    Zhang, Jiabao
    Zhang, Yujun
    Chen, Xiaomin
    He, Ying
    Wang, Liming
    ATMOSPHERIC ENVIRONMENT, 2013, 79 : 217 - 224
  • [5] Modeling and prediction accuracy of ammonia gas emissions from feedlot cattle
    Brown, Mike S.
    Cole, N. Andy
    Gruber, Sandra
    Kube, John
    Teeter, Jerold Scott
    APPLIED ANIMAL SCIENCE, 2019, 35 (03): : 347 - 356
  • [6] Effect of temperature on ammonia emissions from feedlot cattle manure.
    Koenig, K. M.
    McGinn, S. M.
    JOURNAL OF ANIMAL SCIENCE, 2016, 94 : 569 - 570
  • [7] Seasonal ammonia emissions from an intensive beef cattle feedlot in Victoria Australia
    Wang, Qingmei
    Flesch, Thomas K.
    Bai, Mei
    Zhang, Mengxuan
    Chen, Deli
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 351
  • [8] Influence of Reduced Nitrogen Diets on Ammonia Emissions from Cattle Feedlot Pens
    Galles, Karen
    Ham, Jay
    Westover, Elin
    Stratton, Joshua
    Wagner, John
    Engle, Terry
    Bryant, Tony C.
    ATMOSPHERE, 2011, 2 (04) : 655 - 670
  • [9] Characterizing NH3 emissions from a sheep feedlot and a manure composting facility in North China with the inverse dispersion technique
    Liu, Chunjing
    Liao, Wenhua
    Xu, Yishuo
    Wu, Di
    Gao, Zhiling
    Xie, Jianzhi
    AGRICULTURAL AND FOREST METEOROLOGY, 2023, 339
  • [10] Growth promoting technologies reduce greenhouse gas, alcohol, and ammonia emissions from feedlot cattle
    Stackhouse-Lawson, K. R.
    Calvo, M. S.
    Place, S. E.
    Armitage, T. L.
    Pan, Y.
    Zhao, Y.
    Mitloehner, F. M.
    JOURNAL OF ANIMAL SCIENCE, 2013, 91 (11) : 5438 - 5447