发光细菌生物毒性抑制率优化研究

发光细菌生物毒对水生生态环境有极大的破坏作用,为保护水体环境,提出发光细菌生物毒性抑制率优化研究。完成测试样品调制;设置菌悬液特征参数,利用pH、RLU及D600进行同步检测,完成发光细菌生物毒性重现;分析磺胺类药品于根际土壤的形态分布和生态毒性,完成发光细菌生物毒性抑制率优化研究。实验证明,三种磺胺类药品对发光细菌生物毒性的相对抑制率都小于30%,为低毒性;其中有机溶剂对发光细菌生物毒性的抑制率最大,水溶态较大,结合态最小。     

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。     

Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.     

高灵敏XRF测定废水中痕量砷

本文提出了在硫酸介质中，以锌粒还原产生氢化物，溴化铜溶液吸收，微孔滤膜过滤制成薄样，Ｘ射线荧光测定水中痕量砷的分析方法。     

苏州河氨化菌分布及生理生化研究

对苏州河氨化菌进行了生态调查,并对其进行了生理生化分析。研究结果表明,苏州河水体中氨化菌数量普遍较高,上游至下游氨化菌数量逐步增多。氨化菌数量与水体中总氮和氨氮呈正比,与硝酸盐成反比。     

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     

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。     

Response of the Ascorbate-Peroxidase of Selenastrum capricornutum to Copper and Lead in Stormwaters

The green alga Selenastrum capricornutum expresses a uniqueascorbate peroxidase, that responds to copper and lead. Attemptswere made to test if this peroxidase could be used to monitor thelevels of copper and lead in natural waters. When S.capricornutum was exposed to a stormwater sample, the specificactivity of the peroxidase in the cell extract was commensuratewith the combined copper and lead contents in the sample. Theperoxidase responses were also correlated with the 96 hr biomasstoxicity assay of S. capricornutum. However, unlike thebiomass toxicity assay, the peroxidase activity was not affectedby the anions in the samples. The use of this peroxidase can beused as a marker for testing heavy metal toxicity in the water.