首页> 外文会议>Annual International Meeting of the American Society of Agricultural and Biological Engineers >Compartmental process-based model for estimating ammonia emission from liquid dairy manure storage tank
【24h】

Compartmental process-based model for estimating ammonia emission from liquid dairy manure storage tank

机译:基于分区基于过程的液体乳制粪肥储罐氨排放的模型

获取原文
获取外文期刊封面目录资料

摘要

The biogeochemical processes responsible for production and emission of ammonia from stored liquid dairy manure are governed by environmental factors (e.g. manure temperature, moisture) and manure characteristics (e.g. total ammoniacal nitrogen concentration, pH). These environmental factors and manure characteristics vary spatially as a result of spatially heterogeneous physical, chemical, and biological properties of manure. Existing process-based models used for estimating ammonia emission do notconsider these spatial variations leading to inaccurate estimations. In this study, a one-dimensional compartmental process-based model was developed to (i) estimate spatial variation of temperature and substrate concentration (ii) estimate spatial variations and rates of biogeochemical processes, and (iii) estimate production and emission of ammonia from a liquid manure storage tank. Model performance was evaluated using experimental data obtained from National Air Emissions Monitoring Study. A sensitivity analysis was performed and air temperature, manure pH, wind speed, and manure total ammoniacal nitrogen concentration were identified as the most sensitive model inputs. The model was used to estimate ammonia emission from a liquid dairy manure storage of a dairy farm located in Rockingham County in Virginia. Ammonia emission was estimated under different management and weather scenarios: two different manure storage periods in cold season from November to April and in warm season from May to October using historical weather data of the Rockingham County. Results suggest greater ammonia emission and manure nitrogen loss for the manure storage period in warm season compared to the storage period in cold season.
机译:负责生产和从存储的液体牛粪氨的排放生物地球化学过程是由环境因素支配(例如粪温度,湿度)和粪肥特性(例如总氨态氮浓度,pH)。这些环境因素和粪便特征在空间上变化为空间异构的物理,化学,和粪便的生物特性的结果。用于估计氨的排放现有基于过程的模型做notconsider这些导致不准确的估计的空间变化。在这项研究中,一维为基础的过程隔室模型的开发是为了(ⅰ)估计温度和底物浓度(ⅱ)估计的空间变化和生物化学过程的速率,和(iii)估算生产和氨的排放从空间变化一个液体肥料储存罐。利用国家航空排放监测研究获得的实验数据模型的性能进行了评估。进行灵敏度分析和空气的温度,pH值粪肥,风速,以及粪肥总氨态氮浓度被确定为是最敏感的模型的输入。该模型被用于从位于罗金厄姆县在弗吉尼亚州奶牛场的液体乳制品粪便储存估计氨的排放。使用罗金厄姆县的历史天气数据在寒冷季节从十一月两种不同的粪便贮存期到4月和从五月到十月温暖的季节:氨的排放是在不同的管理和天气的情况来估计。结果表明了相比于寒冷季节储存期在温暖的季节粪便贮存期更大的氨排放量和肥料氮素损失。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号