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31.
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
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A membrane extraction-gas chromatography method was developed fordetermination of organophosphorus pesticides and related compounds including methamidophos, DDVP, dimethoate, methyl parathion, parathion, thiophosphoric acid trimethyl ester, and thiophosphoramidic acid dimethyl ester in water samples. In thismethod, surface-modified acetic cellulose membranes were used to extract the target analytes in water samples, the extracted analytes were back-extracted into a small amount of methanol, andgas chromatography with pulsed flame photometric detector (GC-PFPD) was used to determine the concentrations of targetanalytes in the extracts. The recoveries obtained for thetarget analytes spiked into the water samples ranged from 66to 94%. The method detection limit for each target analyte was 0.05 g L-1. The method developed in this study had shown the advantages of being cheap, simple, fast, and reliable. It had been used successfully to determine the concentrations of target analytes in river water samples. 相似文献
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在实验室内模拟研究的基础上,运用生理生态学的原理,研究了水盐胁迫对钠猪毛菜(salsola nitraria)和散枝猪毛菜(salsola brachiata)种子萌发的影响,结果显示,钠猪毛菜与散枝猪毛菜种子萌发的最适温度分别为25 ℃和15 ℃.在盐溶液和PEG溶液中,2种种子的萌发规律相似,即随着水势的降低,萌发率和萌发速率下降.在盐胁迫下钠猪毛菜和散枝猪毛菜种子萌发的最低水势接近-7.2 MPa;在水分胁迫下2种种子萌发的最低水势均未超过-2.0 MPa,其中,钠猪毛菜种子表现出较强的耐水分胁迫能力.在相同水势条件下,PEG对2种猪毛菜种子萌发的抑制程度显著大于等渗NaCl,说明渗透胁迫是影响2种植物种子萌发的主要因素. 相似文献
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中国水环境的NPSP问题及对策 总被引:1,自引:0,他引:1
介绍了我国水环境中的非点源污染(NonpointSourcepollution,缩写为NPSP)的情况,强调农业生产是最主要的非点源污染。同时,针对我国水污染防治的政策目标,提出一些建议。 相似文献
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分析了建立锡山市跨行政区水域边界监控点的必要和可行性,并阐述了建立锡山市排污总量控制体系的重要性,以便提高整个区域的水环境质量。 相似文献
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本文对某铀矿职业工人和非职业工人头发中的总β、总α放射性水平和铀、钍含量进行了分析测定.结果表明,该矿工人体内铀和钍的蓄积量均在正常放射性本底水平范围内,从头发中检验未观察到工人体内铀、钍放射性水平有明显的升高. 相似文献
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