机译:从棉G中向下估算PM10和PM2.5浓度的模拟方法
John D. Wanjura, ASABE Student Member, Graduate Student, Department of Biological and Agricultural Engineering, Texas A&
M University, College Station, Texas;
Michael D. Buser, ASABE Member Engineer, Research Engineer, USDA-ARS Southwest Cotton Production and Ginning Laboratory, Lubbock, Texas;
and Calvin B. Parnell, Jr., ASABE Member Engineer, Regents Professor, Bryan W. Shaw, ASABE Member Engineer, Associate Professor, and Ronald E. Lacey, ASABE Member Engineer, Professor, Department of Biological and Agricultural Engineering Department, Texas A&
M University, College Station, Texas. Corresponding author: John D. Wanjura, Department of Biological and Agricultural Engineering, Texas A&
M University, 324 Scoates Hall, MS 2117 TAMU, College Station, TX 77843;
Dispersion modeling; Particulate matter;
机译:从棉G中估算出PM {sub} 10和PM {sub} 2.5浓度的模拟方法
机译:使用粒度分析以及并置的TSP和PM10采样器:棉轧花来估计FRM PM10采样器的性能特征。
机译:根据协同的MERIS / AATSR气溶胶观测,土地覆盖和形态数据估算城市PM10和PM2.5浓度
机译:估计PM_(10)和PM_(2.5)浓度从棉花杜松风估算的模拟方法
机译:厄瓜多尔基多高海拔学校和住宅微环境中颗粒物浓度(PM 10,PM10-2.5和PM2.5)的特征。
机译:历史预测建模方法用于在1999年实施广泛监测之前估算队列研究中PM2.5的长期浓度
机译:先知预测模型:韩国首尔预测空气污染物浓度(PM2.5,PM10,O3,NO2,SO2,CO)的机器学习方法