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排序方式: 共有471条查询结果,搜索用时 15 毫秒
1.
水解酸化+两级生物接触氧化处理高盐度水产品加工废水 总被引:1,自引:0,他引:1
介绍了“水解酸化+两级生物接触氧化”处理水产品加工废水的运行效果和工程实例,结果表明:对C1^-浓度平均6000mg/L的高盐度水产品加工废水,系统对COD、SS、氨氮的去除率分别超过了88%、90%、85%,出水COD、SS、氨氮分别低于100mg/L、70mg/L、15mg/L,出水完全可以达到《污水综合排放标准》(GB8978—1996)一级排放标准。 相似文献
2.
气象卫星遥感在干旱监测中的应用 总被引:23,自引:1,他引:23
本文根据NOAA极轨气象卫星AVHRR资料计算生成植被指数相对距平图用于旱情监测,并在江苏省1994年特大干旱中进行了应用服务 相似文献
3.
关于植物化学生态信息的开发与利用 总被引:9,自引:0,他引:9
植物的化学信息,早已被人们所关注和利用,目前,该研究已成为生态学和化学生态学中最活跃,最能为社会与生产服务的领域之一,生态系统中的物质流和能量流是资源,而生态学的信息则是更具开发,利用前景的资源。 相似文献
4.
The AgCl/Al2O3 catalyst has potential for use in the selective catalytic reduction (SCR) of NOx. A compound hydrocarbon, following
oxygenation is used as a type of reducing agent. In this experiment, the AgCl/Al2O3 catalyst was produced by four different methods,
and the differences among their reduction catalysis of NOx were compared. Ethanol was used as a type of reducing agent. X-ray
diffraction analysis was performed to study the crystalline structure and scanning electron microscope and transmission electron
microscope (TEM) were applied to determine the microindentation. The results indicated that, in the range of 350–400°C, there was
no significant difference on the NOx reduction rate; however, there was dispersion at high and low temperature ranges. The size of the
AgCl particles was about 20–100 nm. 相似文献
5.
铁炭内电解垂直流人工湿地对污水厂尾水深度脱氮效果 总被引:2,自引:1,他引:1
针对污水厂尾水总氮(TN)含量偏高、微生物可利用碳源低的问题,构建铁炭内电解垂直流人工湿地(ICIE-VFCW)装置,研究了ICIE-VFCW对尾水的处理效果,并采用紫外-可见光光谱(UV-VIS)、凝胶过滤色谱(GFC),进一步探讨了ICIEVFCW强化脱氮机制.结果表明,ICIE-VFCW可提高系统对尾水中COD的去除,出水COD可稳定在30 mg·L~(-1)以下,全年、暖季、寒季COD平均去除率较普通垂直流人工湿地分别可提高10.16%、9.81%、11.22%.系统出水TN可维持在10 mg·L~(-1)以下,全年、暖季、寒季TN平均去除率较普通垂直流人工湿地分别提高13.72%、12.90%、16.17%.经过人工湿地处理后,污水中有机物的腐殖度、芳香度及相对分子质量(Mr)均有所下降,且ICIE-VFCW中Mr下降更为明显.湿地基质掺杂铁炭可促进尾水中大分子有机物转化为小分子,为微生物提供更多可利用碳源,从而提高脱氮效率. 相似文献
6.
7.
Min-Yuan Cheng Yi-Hsu Ju Yu-Wei Wu Sylviana Sutanto 《International Journal of Green Energy》2016,13(15):1599-1607
Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%. 相似文献
8.
We started the monitoring for PCDD/Fs in ambient air and soil in August 2001, and co-PCBs in January 2002. Decreasing of PCDD/Fs and co-PCBs levels in ambient air were observed. The higher PCDD/Fs levels were found in winter and lower in autumn. We found that the industrial incinerators influenced the PCDD/Fs levels in ambient air. In the 2,3,7,8-substituted PCDD/Fs concentration profiles, the three major congeners occupied 67% of the total mass. In case of co-PCBs, PCB#118, #105 and #77 were observed as the main congeners. Five cluster groups discriminated by ratio of four components, O(8)CDD, 1,2,3,4,6,7,8-H(7)CDD, 1,2,3,4,6,7,8-H(7)CDF and O(8)CDF, were obtained from HCA (hierarchical cluster analysis). 相似文献
9.
ABSTRACT A new model for pulse jet fabric filtration is proposed. In contrast to the earlier model of Ravin and Humphries,1 which was formulated on the steady state assumption, the present study is aimed at developing a predictive capability for both transient and steady state operations, taking into account the compression effect of filter cakes. The model's relative simplicity allows frequent updating of the model parameter values, thus improving the accuracy of predictions. As a result, the model is particularly useful in developing control algorithms and designing controllers of pulse jet fabric filtration systems. 相似文献