用因子分析法解析抚顺市大气颗粒物来源

用因子分析法对2002年7月在抚顺市望花、新华、东洲、站前、水库五个监测点采集的TSP颗粒物样品进行了污染源定性识别和定量分析。计算结果表明，对于颗粒物样品，主要污染物来源是土壤尘，燃煤飞灰，建筑水泥，对颗粒物的贡献达71.2％。其次是燃煤，燃油的贡献占20.0％，汽车尾气占6.0％。     

Advances in airborne microorganisms detection using biosensors: A critical review

• Airborne microorganism detection methods are summarized. • Biosensors play an important role in detecting airborne microorganisms. • The principle of biosensor detection of airborne microorganisms is introduced. • The application and progress of biosensor in recent years is summarized. • The future perspectives of biosensor are identified. Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies. However, these technologies still have some shortcomings; they are time-consuming and have low sensitivity and poor stability. Most of them need to be used in the ideal environment of a laboratory, which limits their applications. A biosensor is a device that converts biological signals into detectable signals. As an interdisciplinary field, biosensors have successfully introduced a variety of technologies for bio-detection. Given their fast analysis speed, high sensitivity, good portability, strong specificity, and low cost, biosensors have been widely used in environmental monitoring, medical research, food and agricultural safety, military medicine and other fields. In recent years, the performance of biosensors has greatly improved, becoming a promising technology for airborne microorganism detection. This review introduces the detection principle of biosensors from the three aspects of component identification, energy conversion principle, and signal amplification. It also summarizes its research and application in airborne microorganism detection. The new progress and future development trend of the biosensor detection of airborne microorganisms are analyzed.     

重庆颗粒物自然沉降分布与其显微镜下的物理特征

本文研究了重庆颗粒物自然沉降的分布规律;揭示了市区、郊区颗粒物在显微镜下的物理特征,为研究颗粒物对建筑物体的腐蚀提供了有力的依据。     

重庆大气中TSP和自然干沉降的化学组成及其浓度贡献

本文分别对重庆大气颗粒物中TSP、自然干沉降的化学组成及其浓度水平进行了阐述.Ca元素在TSP中位居第一.而Fe元素在干沉降中位居第一.     

重力作用下尘粒运动的数值解法

提出了重力作用下尘粒运动的数值解法。依据尘粒的重力、浮力及所受到的阻力推出了尘粒自然沉降时的运动方程。当尘粒的运动在斯托克斯领域内时采用理论公式求解其运动轨迹,当尘粒的运动进入非斯托克斯领域内时,提出了修正斯托克斯公式的方法以达到用理论公式来近似模拟该领域内的尘粒自然沉降运动     

上流式斜流沉淀去除率公式的理论推导

结合斜流沉淀结构的特点，分析了流道内液芬布对颗粒沉淀过程的影响；污水中颗粒粒径分布对去除率的影响，从而理论上推导上流式斜流沉去除率的计算公式     

汽车颗粒物污染的生态影响与公路绿带的屏障作用

本文从汽车颗粒物污染的生态影响、污染范围及公路绿带屏障作用上概述了公路环境研究的进展 ,并提出了减轻公路污染物影响的主要措施 ,为我国公路规划建设、公路沿线的农业生产布局及公路环境保护提供了科学依据。     

环境与微粒材料

简述了环境材料、智能材料和微粒材料等几个材料科学的新概念及其与环境的关系，介绍几种从不同角度考虑环境的微粒材料．认为采用智能材料如智能微粒材料构思来发展环境材料是可行的。呼吁科技工作者在开展工作时要考虑环境及生态问题．     

Predicting particle deposition on HVAC heat exchangers

Particles in indoor environments may deposit on the surfaces of heat exchangers that are used in heating, ventilation and air conditioning (HVAC) systems. Such deposits can lead to performance degradation and indoor air quality problems. We present a model of fin-and-tube heat-exchanger fouling that deterministically simulates particle impaction, gravitational settling, and Brownian diffusion and uses a Monte Carlo simulation to account for impaction due to air turbulence. The model predicts that <2% of submicron particles will deposit on heat exchangers with air flows and fin spacings that are typical of HVAC systems. For supermicron particles, deposition increases with particle size. The dominant deposition mechanism for 1–10 μm particles is impaction on fin edges. Gravitational settling, impaction, and air turbulence contribute to deposition for particles larger than 10 μm. Gravitational settling is the dominant deposition mechanism for lower air velocities, and impaction on refrigerant tubes is dominant for higher velocities. We measured deposition fractions for 1–16 μm particles at three characteristic air velocities. On average, the measured results show more deposition than the model predicts for an air speed of 1.5 m s⁻¹. The amount that the model underpredicts the measured data increases at higher velocities and especially for larger particles, although the model shows good qualitative agreement with the measured deposition fractions. Discontinuities in the heat-exchanger fins are hypothesized to be responsible for the increase in measured deposition. The model and experiments reported here are for isothermal conditions and do not address the potentially important effects of heat transfer and water phase change on deposition.     

Pilot study of the application of Tellus airborne radiometric and soil geochemical data for radon mapping

The scope for using Tellus Project airborne gamma-ray spectrometer and soil geochemical data to predict the probability of houses in Northern Ireland having high indoor radon concentrations is evaluated, in a pilot study in the southeast of the province, by comparing these data statistically with in-house radon measurements. There is generally good agreement between radon maps modelled from the airborne radiometric and soil geochemical data using multivariate linear regression analysis and conventional radon maps which depend solely on geological and indoor radon data. The radon maps based on the Tellus Project data identify some additional areas where the radon risk appears to be relatively high compared with the conventional radon maps. One of the ways of validating radon maps modelled on the Tellus Project data will be to carry out additional indoor measurements in these areas.