Experimental Investigation on The Igniting Fire Sources in Wildland Fire

试图通过试验,研究从林火点火源的红外辐射谱特性确定火焰性质的方法。为此,研制了模拟试验台,可以同时测定各特征火焰区的红外辐射谱和平均温度。用普朗克定律和维恩位移定律对试验数据进行了处理。对三种典型的引火源（烟头、树枝和纸）进行研究的结果表明：引火源的辐射特征波长在１．１－２．１ｕｍ,３．８－４．０ｕｍ,７．８－８．２ｕｍ波段内分布,此波长与各火焰区的特征温度存在对应关系。辐射温度随波长变化。在短波长处较低,此结果与将火焰辐射处理成黑体辐射时的普朗克定律大致相符     

微污染水源水生物处理中硝酸盐氮的变化

通过中试系统和大型工程 ,探讨了微污染水源水生物处理工艺中硝酸盐氮的变化规律。研究表明 ,微污染水源水生物处理工艺中硝酸盐氮的增加是氨氮生物硝化的结果 ;处理系统启动中硝酸盐氮变化率的变化反映了两类硝化细菌在生长速率和转化能力上的协调关系以及生物膜的成熟过程 ,启动结束时硝酸盐氮变化率趋于 1.0 0 ;稳定运行阶段各工况下处理系统硝酸盐氮变化率均在 1.0 0附近 ;水源水中少量的有机氮和亚硝酸盐氮对氨氮硝化过程无明显影响。硝酸盐氮变化率是描述微污染水源水生物处理系统氨氮硝化状况的重要参数。     

安徽省宁国市元竹枯死原因与防治对策研究

文章探讨了安徽省宁国市中溪镇元竹大面积枯死的原因.在现场调查、污染监测和综合分析的基础上,排除了污染、病虫害致死和元竹而开花死亡的可能性,得出该区元竹枯死是由于非污染生态工程道路改建、水利水电工程和河道采砂等人为活动所导致元竹区的局部生态系统破坏,致使该区地下水位的不正常变动,从而引起大面积不规则分布的元竹干枯或浸泡死亡.文中最后根据该区生态环境状况,给出了防治元竹枯死的生态对策与建议,为防治其它地区的元竹枯死提供了参考和经验.     

生命周期评价在工程分析中的运用

工程分析是建设项目环境影响评价的关键所在。就目前工程分析存在的问题进行讨论，介绍生命周期评价的基本过程，提出将生命周期评价引入工程分析，以提高工程分析的科学性，为项目决策提供科学依据。‘’     

环境生物技术

环境生物技术作为一门新兴边缘学科在解决环境污染问题上具有很大的潜力。主要介绍了环境生物技术在各方面的研究应用进展 ,并指出环境生物技术的发展趋势和应用前景     

A pilot scale anoxic/oxic membrane bioreactor (A/O MBR) for woolen mill dyeing wastewater treatment

A pilot-scale( 10 m^3/d) anoxic/oxic membrane bioreactor( A/O MBR) was tested for dyeing wastewater treatment of woolen mill without wasting sludge in 125 days operation. Results showed that the effluent quality was excellent, i.e. effluent COD less than 25 mg/L,BOD5 under 5 mg/L, turbidity lower than 0.65 NTU, and colour less than 30 DT, and met with the reuse water standard of China. The removal rates of COD, BOD5, colour, and turbidity were 92.4%, 98.4%, 74% and 98.9%, respectively. Constant-flux operation mode was carried out in this study, and backwash was effective for reducing membrane fouling and maintaining constant flux. Membrane fouling had heavy impact on energy consumption. More attention should be paid on pipe selection and design for the sidestream MBR system, too.     

燃煤手烧炉有害气体生成特征研究

本文对燃煤手烧炉烟气生成特征进行了分析和研究 ,对燃烧过程二氧化硫、一氧化碳及一氧化氮等有害气体的生成规律和浓度值进行了测定和分析     

Removal of alachlor from water by catalyzed ozonation in the presence of Fe2+, Mn2+, and humic substances

The effects of Fe(II), Mn(III) and humic substances on the catalyzed ozonation of alachlor, an endocrine disruptor were investigated. Results revealed that small amounts of Fe(II), Mn(II), and humic substances could enhance the ozonation of alachlor, but larger amounts of them would retard the oxidation. These results were successfully identified by an electron paramagnetic resonance (EPR) spectroscopy spin-trapping method that could quantify hydroxyl radicals. The production of hydroxyl radicals was obviously increased with the increasing of Fe(II) concentration, which contributed to enhance ozonation at low concentrations. But the excess Fe(II) consumed some of the radicals when it was added at a higher concentration (1.5 mg/L). However, no obvious radicals were observed when a different amount of Mn(II) was used, and the catalytic ozonation of alachlor by Mn(II) mainly followed the mechanism of "active sites created on the surface of MnO2." The radical pathway was followed when alachlor was ozonated with different concentrations of humic substances because of its radical initiating, promoting, and inhibiting effects.     

Progress in developing an ANN model for air pollution index forecast

An air pollution index (API) reporting system is introduced to selected cities of China for public communication on air quality data. Shanghai is the first city in China providing daily average API reports and forecasts. This paper describes the development of an artificial neural network (ANN) model for the API forecasting in Shanghai. It is a multiple layer perceptron (MLP) network, with meteorological forecasting data as the main input, to output the next day average API values. However, the initial version of the MLP model did not work well. To improve the model, a series of tests were conducted with respect to the training method and structure optimization. Based on the test results, the training algorithm was modified and a new model was built. The new model is now being used in Shanghai for API forecasting. Its performance is shown reasonably well in comparison with observation. The application of the old model was only weakly correlated with observation. In 1-year application, the correlation coefficients were 0.2314, 0.1022 and 0.1710 for TSP, SO₂ and NO_x, respectively. But for the new model, for over 8 months application, the correlation coefficients are raised to 0.6056, 0.6993 and 0.6300 for PM₁₀, SO₂, and NO₂. Further, the new algorithm does not rely on manpower intervention so that it is now being applied in several other Chinese cities with quite different meteorological conditions. The structure of the model and the application results are presented in this paper and also the problems to be further studied.     

固相微萃取气相色谱法测定水样中的苯胺、吡啶

应用PDMS/DVB固相微萃取探头,结合GC/FID测定水中的苯胺、吡啶.优化了萃取温度、萃取平衡时间、pH等条件.该方法对苯胺和吡啶的检测限分别为0.050、0.065 mg/L,相对标准偏差6.44%～8.67%,具有快速、准确和方便等优点.