一个基于无人机的系统,用于验证一个落后拉格朗的随机模型在一个奶牛农场
Alessio Mattia1, Valentina Becciolini1, Leonardo Conti1
1Department of Agriculture, Food, Environment and Forestry, University of Florence, Via di San Bonaventura 13, 50145 Florence, Italy.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
这项研究使用基于无人机的系统测量了乳牛堆肥床包仓的二氧化碳 (CO2) 排放量. 这些发现验证了大气模型,以改善畜牧业温室气体排放的评估.
科学领域:
- 环境科学 环境科学
- 农业工程 农业工程
- 大气化学 大气化学
背景情况:
- 堆肥床包仓是温室气体排放的重要来源.
- 精确测量这些谷仓的二氧化碳流量对于环境管理至关重要.
- 现有的大气模型需要对牲畜环境进行验证.
研究的目的:
- 为了描述乳牛堆肥床包仓的二氧化碳排放情况.
- 通过基于无人机的系统验证bLS (建筑大模拟) 模型.
- 评估环境监测的新型多传感器平台 (MSP) 的性能.
主要方法:
- 使用bLS模型 (WindTrax) 计算了排放流.
- 二氧化碳度在地面上方5.0米和10.0米 (ABGL) 通过配备NDIR传感器的无人机系统进行测量.
- 在地面的传感器提供了输入数据上风和下风的排放源.
主要成果:
- 该研究验证了bLS模型度与UAV测量数据在两个高度.
- 灵敏度分析显示,在稳定和不稳定的大气条件下计算的排放流量存在差异.
- 基于无人机的系统在测量二氧化碳度时表现出有效性,用于模型验证.
结论:
- 这项研究首次验证了bLS模型度在多个高度使用基于UAV的堆肥床包仓系统.
- 这些发现突显了无人机在提高农业来源温室气体排放估计准确性的潜力.
- 准确的排放数据对于制定乳制品养殖中有效的减排策略至关重要.
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