基于环境生态发展视角的城市服务营销策略研究

城市服务营销策略的制定,依据城市环境分析、制定目标和细分市场、制定总体营销策略三大步骤完成。但在传统形势下,按照已制定的城市服务营销策略规划城市,对环境生态的发展造成了巨大影响。为有效解决此问题,通过分析不合理开发对城市服务营销策略的影响、工业三废问题对城市服务营销策略的影响、环境生态发展三要素对城市服务营销策略的影响,完成环境生态发展视角下,城市服务营销策略研究。得出减少城市内部的不合理开发、减少工业三废的排放量、重视环境生态发展三要素,是改进城市服务营销策略的有效方法。     

等离子体处理的时效性对芳Ⅲ/双马复合材料耐湿热性能的影响

目的考察等离子体处理前后及其时效性对芳Ⅲ/双马复合材料弯曲强度、界面性能及耐湿热性能的影响。方法用低温射频耦合等离子体处理芳纶纤维表面,分别将未处理的、等离子体刚处理过的和等离子体处理后在空气中放置三天后的纤维通过溶液预浸渍工艺制备芳Ⅲ/双马复合材料预浸料,再经过高温模压成形技术制备芳Ⅲ/双马复合材料单向板。采用万能材料试验机对水煮前后复合材料的弯曲强度和层间剪切强度进行测试,利用扫描电子显微镜对复合材料层间剪切破坏形貌进行观察。结果等离子体处理后,复合材料的吸水率由未处理时的0.51%下降到0.33%,复合材料层间剪切强度由49.4 MPa提高到62.9 MPa。等离子体处理时效后复合材料的吸水率增加到0.69%,复合材料的层间剪切强度下降到56.0 MPa。结论等离子体处理提高了复合材料界面性能,但等离子体处理的时效后,复合材料的界面性能及其耐湿热性能有所下降。等离子体处理及时效性对复合材料的弯曲强度和耐湿热性能变化不大。     

环保公益广告中污染防治意识接受度分析研究

环境保护和污染防治日益成为全球性重点关注问题,环境污染防治作为公益事业,也逐渐成为公众关心的热点,大量的环保公益广告进入人们的视线,在大众传媒时代,环保公益广告对提高人们的环境保护意识,形成环保和污染防治自觉具有重要促进性,分析环保公益广告中污染防治意识接受度,从公益广告的创作元素、人们的认知度和感官能力方面出发,弘扬绿色文明,倡导绿色观念,提高公众的污染防治意识。     

环保宣教影视作品制作中生态环保意识分析研究

传统环保宣教影视作品内容过于空泛,难以引起人们共鸣,近年来环境问题逐渐严重,带来一系列自然灾害,为人民生命财产带来巨大损失。影视作品能够起到传播观念和导向舆论的作用,将生态环保意识引入影视作品可以引发人们的思考。对环保宣教影视作品中生态环保意识进行分析,探讨了生态环保意识的建立过程以及融入过程,通过实验研究了环保宣教影视作品中引入生态环保意识对环境保护起到的作用。实验结果表明,引入生态环保意识的环保宣教影视作品能够更好地向社会大众宣传环保好处,更好地促进环境保护工程的实施。     

8-氨基喹啉-5-偶氮-对苯酚荧光光度法测定微量铬(Ⅵ)

在盐酸介质中,铬(Ⅵ)与AQAPOH形成可被氯仿萃取的荧光化合物,其λex/λem=295nm/400nm.线性范围为0-1.0μg Cr(Ⅵ)/25ml(水相),检测限为0.7μg/L.除Mn(Ⅶ)外,常见金属离子无干扰,可在数千倍Cr(Ⅲ)存在下测定废水中微量铬(Ⅵ).初步探讨了荧光反应的机理.     

水中Mg~(2+)的测试管快速测定

研制了一种测定水中Mg2 + 的测试管 ,测定范围为 0 .5mg/L～ 2 .0mg/L。该测试管适用于现场应急监测 ,具有快速、简便、抗干扰能力强和价格低廉等特点     

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.     

Determination of organophosphorus pesticides and related compounds in water samples by membrane extraction and gas chromatography

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.     

土壤重金属污染的灰色模糊评价

以灰色聚类为基础，提出了灰色模糊聚类分析法，并将其应用于土壤环境质量评价中，经实例分析表明，这是一种较为简便，合理、有效的评价方法。     

天青石及锶矿中硫酸锶的测定

通过实验，解决了测定天青石中硫酸锶时的不足，结果令人满意。