苯胺类化合物含量对还原--偶氮光度法测定硝基苯的影响

通过将硝基苯和苯胺以不同比例混合制作标准曲线，讨论苯胺类化合物含量对还原－偶氮光度法测定硝基苯的影响。     

亚铵法制浆造纸厂中段废水处理技术分析研究

通过对采用两级气浮做预处理 ,生物硫化床串联接触氧化做深度处理的治理技术的分析研究 ,结合废水处理工程实例 ,说明了用两级串联气浮 +硫化床 +接触氧化工艺处理造纸中段水技术切实可靠 ,该治理工艺对处理亚铵法麦草制浆造纸中段废水有较强的针对性和可行性。     

夜间建筑施工噪声扰民监测方法探讨

以一家夜间施工工地为例 ,通过对现有夜间建筑施工噪声测量方法及国家和深圳经济特区有关噪声污染定义的分析 ,阐述了夜间施工工地噪声扰民监测方法     

还原蒸馏法分析硝基苯类化合物的探讨

由于还原偶氮比色法中锌渣、滤纸吸附对分析硝基苯类化合物有较大影响,文章采用还原后蒸馏的方法分析硝基苯类化合物,该法比滤纸过滤分析结果准确,精密性好,操作简单.     

微生物传感器快速测定水中BOD的研究与探讨

对大量不同行业和水样的实际样品进行BOD微生物传感器快速测定法与五日生化需氧量法(BOD5)的比对分析,在此基础上,指出了BOD快速测定法的注意事项以及应用范围.     

纳氏试剂光度法测定水体中氨氮常见问题与解决办法

针对在实际工作中用纳氏试剂光度法测定水体中氨氮存在的一些问题,在参考相关研究资料的基础上,并根据工作经验,对纳氏试剂光度法测定水体中氨氮常见问题进行了探讨与总结,以期更好的指导实际工作。     

应用模糊综合指数法对伊犁河（伊宁段）水质的综合评价

模糊数学法对伊犁河(伊宁段)水质进行综合评价时,由于分别采用地面水环境质量标准中五类标准值的平均值及其中三个标准值,计算后的结果不一致,而模糊综合指数法避免了这类问题的出现,计算结果比较满意.从而表明,该法是对模糊数学法的进一步改进.     

水体中重要污染元素化学形态分析研究方法及其进展

概述了元素化学形态分析的意义、概念和范围，元素化学形态分析与模拟计算方法，并分别对某些重要元素的化学形态分析方法的进展作了综述，介绍了１１５篇文献。     

从顽拗植物荔枝中提取基因组DNA技术的研究

针对荔枝体内含有大量影响ＤＮＡ提取质量的多酚等次生代谢物质的特点,在常规ＳＤＳ和ＣＴＡＢ提取方法的基础上做了技术改进,即在核裂解之间先破碎细胞,将存在于细胞质中次生物质除去后再裂解细胞核,同时加入活性炭以吸咐杂质反复清洗几次后加入核型解液释放基因组ＤＮＡ,纯化之后经外观和电泳检测,以及Ｄ２６０ｎｍ和Ｄ２８０ｎｍ比值的测定,限制性内切酶反应,ＰＣＲ扩增的结果表明,用改进方法提取的ＤＮＡ无论在纯度上还     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.