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排序方式: 共有782条查询结果,搜索用时 15 毫秒
1.
采用悬挂链曝气式接触氧化工艺在3个时段内处理城市河道污水,通过采用磷脂法、TTC-脱氢酶活性法和MPN法研究载体表面生物膜特性,来验证装置的水质净化效果。结果表明,进水水质变化幅度较大的时段1内,水质对缺氧区和好氧区内生物膜量及活性有很大冲击,对污染物的去除效果影响不大,COD、NH+4-N、TN和TP的平均去除率分别达到75.9%、80.8%、64.6%和78.3%;进水水质稳定的时段2内,缺氧区和好氧区内生物膜量和活性要高于其他时段,COD、NH+4-N、TN和TP的平均去除率分别达到77.0%、80.6%、69.4%和55.3%;低温运行的时段3内,缺氧区和好氧区内生物膜量和活性都低于其他时段,水质净化效果明显下降,COD、NH+4-N、TN和TP的平均去除率分别为71.1%、68.5%、48.9%和46.6%。 相似文献
2.
3.
以金鱼藻为研究对象,分析悬浮物不同扰动方式(机械扰动和曝气扰动)、扰动强度以及悬浮物浓度对沉水植物生理特性的影响。结果表明,与曝气扰动相比,机械扰动对金鱼藻生理特性影响显著,搅拌强度的增大,金鱼藻叶绿素a、叶绿素b、类胡萝卜素含量和POD活性不断下降,60 r/min时下降最快,搅拌强度与POD活性显著负相关。曝气扰动在前期促进金鱼藻的生长,后期抑制其生长,曝气强度4 m3/h时,金鱼藻生理指标降低最大,曝气强度与金鱼藻生理特性相关性不显著。随悬浮物浓度升高,金鱼藻叶绿素a、叶绿素b、类胡萝卜素含量先升高后下降,金鱼藻生长最适悬浮物浓度为0.4~0.8 g/L。 相似文献
4.
Muhammed Siddik Abdul Samad Prem Mohan Irfan Khursheed Shah Babu J. Alappat 《Environmental Forensics》2020,21(1):37-47
AbstractCement manufacturing is a process that results in the emission of significant quantities of suspended particulate matter (SPM) to the ambient air. An environmental forensic investigation was carried out in the surroundings of a major cement manufacturing unit at a place called Coimbatore in the southern Indian state of Tamil Nadu. The investigation was carried out to identify the contribution of the cement manufacturing unit to the SPM concentration of the surrounding air environment. The sampling points’ selection and sample collection were done following the principles outlined in the INTERPOL Manual for Pollution Crime Forensic Investigation. On-site monitoring of the air samples was carried out using Mini Laser Aerosol Spectrometer (GRIMM, Mini-LAS Model 11R). The instrument was capable of measuring particles ranging from 0.25 to 32 µm and classifying them into 31 size channels. The test results at majority of the monitoring locations were well above the limits specified in the National Ambient Air Quality Standards of India. Microscopic studies of the dust samples were carried out for surface texture and particle shape. The spatial distribution of particles was analysed using geographic information system (GIS) for the visual identification of the extent of the pollution by keeping the cement factory as the focal point. The results from the GIS and microscopic analysis established the role of the cement factory in the particulate matter pollution of its surroundings, specifically in the areas North-West of the factory. The successfully adopted procedure can serve as a guideline for the environmental forensic investigation of similar pollution incidences. 相似文献
5.
雾霾对人类生活生产的影响日益严重,雾霾治理的研究逐渐受到重视,然而自然雾霾天气的不可预测性增加了研究难度。根据雾霾的组成特点,设计并搭建了一套人工模拟雾霾装置,对雾霾颗粒物的沉降效果进行浓度监测和分析。模拟结果表明:各种环境下,PM10的浓度和沉降速率最高,总浓度占比保持在40%以上,PM2.5浓度占比约为35%,PM1浓度最低,仅占20%~25%;有风环境下,颗粒物的沉降速度明显提高,当沉降时间达到130 min后,PM1的浓度达到20% 以下。装置成功模拟了100 min以上的重度雾霾以及20 min的中度雾霾,可为雾霾治理的研究提供稳定可控的实验环境。综合上述结果,将PM2.5和PM1凝结成PM10,可加速雾霾的消散,对雾霾治理具有重要参考价值。 相似文献
6.
Polycyclic aromatic hydrocarbons (PAHs) adsorbed on cigarette sidestream smoke particulates (CSSPs) have been regarded as important contributors to lung carcinogenesis in never smokers. However, limited information is available on PAH levels in cigarette sidestream smoke. Here we determine the concentrations of 22 PAHs, including 16 US EPA priority PAHs, in CSSPs generated from a high market-share domestic brand in Taiwan. Five of the 22 PAHs are undetectable. The remaining 17 PAHs constitute about 0.022% of the total mass of CSSPs. Near one fifth of the PAH mass come from IARC group 1 and group 2 carcinogens. Carcinogenic potency is equivalent to 144 ng benzo[a]pyrene per cigarette converted according to potency equivalency factors (PEFs). The CSSP condensate could activate AhR activity and induce AhR target gene expression. High concentrations of CSSPs also exhibited AhR-independent cytotoxicity. However, mixing the 17 PAHs as the composition in the CSSP condensate could not reconstitute either capacity. Since AhR activation and cytotoxicity are important mechanisms underlying carcinogenic potency, the results suggest that other component compounds play a more active role in carcinogenesis. The approach of individual PAH profiling plus PEF conversion commonly used in risk assessment is likely to underestimate the risk caused by environmental cigarette smoke exposure. 相似文献
7.
丁基锡化合物在水体悬浮颗粒物上的吸附行为研究 总被引:5,自引:0,他引:5
将海河河口表层底泥制成悬浮颗粒物(SPM), 采用批量平衡法首次研究了模拟河口条件下三丁基锡(TBT)和二丁基锡(DBT)在该SPM上的吸附行为。结果表明,TBT和DBT均能在SPM上发生吸附,尤以TBT更为显着。吸附速率可用Kuo和Lake的经验公式描述;吸附过程受SPM的浓度及TOC含量、pH值、温度、腐殖酸浓度和盐度影响。实际河口水样中的SPM对TBT和DBT的吸附百分率也较高,因此SPM是TBT和DBT归趋的重要场所,去除SPM可使水体得到一定净化。 相似文献
8.
The Singrauli region in the southeastern part of Uttar Pradesh, India is one of the most polluted industrial sites of Asia.
It encompasses 11 open cast coalmines and six thermal power stations that generate about 7,500 MW (about 10% of India’s installed
generation capacity) electricity. Thermal power plants represent the main source of pollution in this region, emitting six
million tonnes of fly-ash per annum. Fly-ash is deposited on soils over a large area surrounding thermal power plants. Fly-ashes
have high surface concentrations of several toxic elements (heavy metals) and high atmospheric mobility. Fly ash is produced
through high-temperature combustion of fossil fuel rich in ferromagnetic minerals. These contaminants can be identified using
rock-magnetic methods. Magnetic susceptibility is directly linked to the concentration of ferromagnetic minerals, primarily
high values of magnetite. In this study, magnetic susceptibility of top soil samples collected from surrounding areas of a
bituminous-coal-fired power plant were measured to identify areas of high emission levels and to chart the spatial distribution
of airborne solid particles. Sites close to the power plant have shown higher values of susceptibility that decreases with
increasing distance from the source. A significant correlation between magnetic susceptibility and heavy metal content in
soils is found. A comparison of the spatial distribution of magnetic susceptibility with heavy-metal concentrations in soil
samples suggests that magnetic measurements can be used as a rapid and inexpensive method for proxy mapping of air borne pollution
due to industrial activity. 相似文献
9.
Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong 总被引:4,自引:0,他引:4
As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NOx and NO2 are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NOx and NO2 concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NOx and NO2 concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods. 相似文献
10.