| 1. | This chapter describes methods of estimating airborne pollutant concentration distributions associated with various emission sources .
本章论述几种有关各种排放源的大气污染物浓度分布的估算方法。 |
| 2. | The methods described in this chapter and utilized in the sample problem calculation can't be expected to yield perfect predictions of ground level pollutant concentrations .
用本章所介绍并用在实例计算中的方法，不能期待得到地面污染物浓度的精确预测值。 |
| 3. | Pollutant concentration for the past 24 hours
过去24小时污染物浓度 |
| 4. | Airborne pollutant concentration
气载污染物浓度 |
| 5. | Non - point source pollutant concentration in typical towns of taihu upriver region
太湖上游典型城镇地表径流面源污染特征 |
| 6. | Objective to study tendency of air pollutant concentration in decorated office
摘要目的了解装修后办公室室内污染物浓度的变化特征。 |
| 7. | Prediction of pollutant concentration using artificial neural network and its verification
水污染物浓度的神经网络预测模式及效果检验 |
| 8. | Experimental study on vehicle density and pollutant concentration on shanghai elevated road
上海市高架道路车辆密度与污染物浓度的实测研究 |
| 9. | Hong kong ' s air pollutant concentrations are now 200 % above norms set by the world health organisation
现在香港空气污染物浓度比国际卫生组织制定的标准值还要高200 。 |
| 10. | The figure below is a sample of predicted pollutant concentrations at four spatial resolutions used in path
下图所示是path以四种空间解像度绘制的预测污染物浓度样本。 |
