沂北水稻主产区田间土—水磷素流失潜能

选取嘉善、余姚、德清、余杭4个具有代表性浙北水稻主产区，研究了水田土－水磷素流失潜能及环境意义。4稻区高水平磷肥投入促进了土壤高磷化，土壤Olsen-P积累的同时,相应地提高了土壤生物性有效磷、水浸提磷，并提高了土壤磷素的流失潜能。稻区土壤在富磷化过程中，存在着土壤磷素的农学意义向环境意义方向演变的趋势。在非植稻期，稻区农田水体，包括沟渠水、田表水、排渠水、暗管排水等总磷（TP）平均超过了易诱发水体富营养化临界值，其中溶解磷（DRP）占总磷40％；主要是源于绿肥田表水及部分排渠中的溶解磷对稻区外水体构成了直接危害。在非植稻期，因稻区间农耕措施的差异导致了土壤富磷水平与对应田表水磷素水平不具相关性；在植稻期，施磷措施促进水田土壤富磷，相应地提高了田表水磷素水平。     

Characteristics of urban ozone level in Hong Kong

ＩｎｔｒｏｄｕｃｔｉｏｎＯｚｏｎｅｉｓａｎａｉｒｐｏｌｌｕｔａｎｔｆｏｒｍｅｄｔｈｒｏｕｇｈａｓｅｒｉｅｓｏｆｐｈｏｔｏｃｈｅｍｉｃａｌｒｅａｃｔｉｏｎｉｎｔｒｏｐｏｓｐｈｅｒｅａｎｄｉｓｏｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｐｈｙｔｏｔｏｘｉｃａｉｒｐｏｌｌｕｔａｎｔｓ.Ｉｎｇｅｎｅｒａｌ,ｄｉｒｅｃｔｅｍｉｓｓｉｏｎｏｆｏｚｏｎｅｆｒｏｍａｎｔｈｒｏｐｏｇｅｎｉｃｓｏｕｒｃｅｓｉｓｎｅｇｌｉｇｉｂｌｅｉｎｔｈｅｆｒｅｅｔｒｏｐｏｓｐｈｅｒｅ .Ａｃｃｏｒｄｉｎｇｔｏｔｈｅｓｔｕｄｙｏｎｆｏｒ…     

Survey of polycyclic aromatic hydrocarbons (PAHs) in arterial street air of Hangzhou

ＩｎｔｒｏｄｕｃｔｉｏｎＰｏｌｙｃｙｃｌｉｃａｒｏｍａｔｉｃｈｙｄｒｏｃａｒｂｏｎｓ (ＰＡＨｓ)ａｒｅｗｉｄｅｓｐｒｅａｄｅｎｖｉｒｏｎｍｅｎｔａｌｐｏｌｌｕｔａｎｔｓｉｎｔｈｅａｔｍｏｓｐｈｅｒｅ.Ｔｈｅｙａｒｅｇｅｎｅｒａｔｅｄｉｎｔｈｅｃｏｍｂｕｓｔｉｏｎ .Ｔｈｅｍａｊｏｒｓｏｕｒｃｅｓｉｄｅｎｔｉｆｉｅｄｉｎｃｌｕｄｅｆｏｓｓｉｌｆｕｅｌｓ,ｖｅｈｉｃｕｌａｒｔｒａｆｆｉｃ,ｉｎｄｕｓｔｒｉａｌｐｒｏｃｅｓｓｅｓ,ｓｍｏｋｉｎｇａｎｄｄｏｍｅｓｔｉｃｈｅａｔｉｎｇ (Ｐｅｌｔｏｎｅｎ ,1995) .Ｔ…     

First trimester maternal serum placenta growth factor (PIGF)concentrations in pregnancies with fetal trisomy 21 or trisomy 18

Placenta growth factor (PIGF), an angiogenic factor belonging to the vascular endothelial growth factor family, pregnancy-associated plasma protein A (PAPP-A) and free β-human chorionic gonadotrophin (β-hCG) were measured in maternal serum from 45 pregnancies with trisomy 21, 45 with trisomy 18 and 493 normal controls at 10–13 completed weeks of gestation. In the normal pregnancies maternal serum PIGF levels increased exponentially with gestation. The median multiple of the median (MoM) PIGF concentration in the trisomy 21 group (1.26 MoM) was significantly higher (p<0.0001) than in the control group (1.00 MoM). In the trisomy 18 group the median PIGF was lower (0.889 MoM) but this did not quite reach significance (p=0.064). The corresponding median MoM values for PAPP-A were 1.00 MoM for the controls, 0.49 MoM for trisomy 21 and 0.16 MoM for trisomy 18. The median MoM values for free β-hCG were 1.00 MoM for the controls, 2.05 MoM for trisomy 21 and 0.38 MoM for trisomy 18. In the control group there was a small but significant correlation of PIGF with free β-hCG (r=+0.1024) and PAPP-A (r=+0.2288). In the trisomy 18 group there was a significant association between PIGF and free β-hCG (r=+0.2629) but not with PAPP-A (r=+0.0038). In the trisomy 21 group there was a small but significant association with PAPP-A (r=+0.1028) but not with free β-hCG (r=+0.0339). The separation of affected and unaffected pregnancies in maternal serum PIGF is small, and therefore it is unlikely that measurement of PIGF would improve screening for these abnormalities provided by the combination of fetal nuchal translucency and maternal serum PAPP-A and free β-hCG. Copyright © 2001 John Wiley & Sons, Ltd.     

Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong

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 NO_x 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, NO_x and NO₂ concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NO_x 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.     

基于机器学习的大气PM2.5中金属浓度预测模型的研究

基于2013—2018年哈尔滨市气象数据、大气污染物数据和细颗粒物（PM_2.5）中金属成分数据,采用机器学习方法探索大气PM_2.5中金属浓度预测模型,并选择最优模型进行污染物浓度预测。结果表明,多元线性回归（MLR）、人工神经网络（BP-ANN）、支持向量机（SVM）和随机森林（RF）4种模型中,RF对大气PM_2.5中5种金属［锑（Sb）、砷（As）、铅（Pb）、镉（Cd）、铊（Tl）］的浓度预测效果最佳,在训练集和测试集中表现均较稳定,其中相关系数（r）均＞0.7, 平均绝对误差（MAE）和均方根误差（RMSE）数值较小。RF在大气PM_2.5中金属浓度预测上具有较好的表现,可在缺乏监测和实验数据的情况下,实现对大气颗粒物中金属浓度的快速预测,为全面了解颗粒物中金属污染特征提供数据基础。     

Assessment of metal pollution in urban road dusts from selected highways of the Greater Toronto Area in Canada

Over the last several decades, there has been increased attention on the heavy metal contamination associated with highways because of the associated health hazards and risks. Here, the results are reported of an analysis of the content of metals in roadside dust samples of selected major highways in the Greater Toronto Area of Ontario, Canada. The metals analysed are lead (Pb), zinc (Zn), cadmium (Cd), nickel (Ni), chromium (Cr), copper (Cu), manganese (Mn), calcium (Ca), potassium (K), magnesium (Mg) and iron (Fe). In the samples collected, the recorded mean concentrations (in parts per million) are as follows: Cd (0.51), Cu (162), Fe (40,052), Cr (197.9), K (9647.6), Mg (577.4), Ca (102,349), Zn (200.3), Mn (1202.2), Pb (182.8) and Ni (58.8). The mean concentrations for the analysed samples in the study area are almost all higher than the average natural background values for the corresponding metals. The geo-accumulation index of these metals in the roadside dust under study indicates that they are not contaminated with Cr, Mn and Ca; moderately contaminate with Cd and K; strongly contaminated with Fe and Mg; strongly to extremely contaminated with Ni and Pb; and extremely contaminated with Cu and Zn. The pollution load index (PLI) is used to relate pollution to highway conditions, and the results show that PLI values are slightly low at different samples collected from Highways 401 and 404 and high in many samples collected from Highway 400 and the Don Valley Parkway. Highway 400 exhibits the highest PLI values.     

Numerical simulation of propane detonation in medium and large scale geometries

A modelling strategy has been developed for consequence analysis of medium and large scale gaseous detonation. The model is based on the solution of Euler equations with one-step chemistry. The Van Leer flux limited method which is a total variation diminishing scheme is used for shock capturing. Preliminary calculations were firstly conducted for small domains with fine grids which resolve the wave, relatively coarse grids which have less than 10 grids across the wave and coarse grids in which the minimum grid size is larger than the wave thickness to ensure that the reaction scheme has been properly tuned to capture the correct detonation pressure, temperature and velocity in the resolutions used in the different cases. The model was firstly tested against a medium scale detonation test in a shock tube with U-bends. Reasonably good agreement is achieved on detonation pressure and mean shock wave velocities at different measuring segments of the tube. Following the validation, the detonation of a hypothetical planar propane-air cloud is simulated. The predictions uncovered some interesting features of such large scale detonation phenomena which are of significance in the safety context, especially for accidental investigations. The findings from the present analysis are in line with the forensic evidence on damages in some historic accidents and challenges previous analysis of a major accident in which forensic evidence suggested localised detonation but was considered as the consequence of fire storms by the investigation team.