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.     

Zinc recovery from hazardous construction wastes via an integrated process of the air classification,alkaline leaching,and water washing

Zinc- and lead-containing wastes are often mixed with construction and demolition wastes in many factories, generating abundant of heavy metal-enriched hazardous waste. In the present study, a novel integrated process of air classification, alkaline leaching, and water washing dechlorination was proposed for the efficient recycling of Zinc (Zn) resources. The first air classification process was realized via venturi tube, wherein the content of Zn could increase by 20 wt.%. After that, the product underwent an alkaline leaching process. Results showed that Zn recovery rate increased with fine particle sizes, and a 65% recovery rate was obtained under the following conditions of 5 mol/L NaOH, liquid/solid 10:1, and leaching time 1 h. Finally, water washing associated with microwave and ultrasonic treatments could remove over 85% of Cl and other water-soluble salts. All the results indicated that the integrated method had an excellent recovery rate for Zn resources from construction and demolition wastes.     

高中速过滤器的选择

介绍了高中速过滤器的应用环境、工作原理和结构组成,并从结构组成及工艺环境和实际应用性价比方面,提出实际工作时选择高中速过滤器的注意事项。     

城镇生活污水厂实行清洁生产途径分析

结合企业清洁生产理论,根据污水处理厂实际情况,从“节能、降耗、减排、增效”出发,详细阐述了污水厂实行清洁生产的途径。指出节约电能、新鲜水、药剂,减少污染物排放是污水处理厂清洁生产的主要出发点。并进行实例分析。     

刮油刮渣机的结构设计与应用选择

介绍了刮油刮渣机的工作原理和基本结构组成及应用结构方式,并从工艺环境及应用选择的性价比方面,提出实际工作时选择刮油刮渣机的注意事项,达到设备的最大合理化应用。     

纳氏试剂分光光度法测定水质氨氮不确定度的评估

本文对采用纳氏试剂分光光度法（HJ535-2009）测定水中氨氮的实验过程可能引入的各不确定分量的来源进行了详细的分析,然后对各分量进行评定,对测定不确定度做出评估。得出影响测定结果的几种重要因素。     

冬季黄东海颗粒有机碳的时空分布特征

根据2007年1～2月对黄东海大面调查的资料,分析研究了黄东海颗粒有机碳(POC)的时空分布特征。结果表明,冬季黄东海POC的浓度范围是2.49～1 658.96μg/L,平均浓度为125.88μg/L。在垂直方向上,POC由上而下随着水深的增加浓度逐渐降低,到底层后浓度又升高。在平面分布上,POC整体上呈现西部近岸浓度较高、东部离岸浓度较低的特点;POC的高值区集中在浙江近岸海区,特别是浙江舟山群岛南部近海,POC浓度非常高,这是受陆源输入和沉积物再悬浮的共同作用。在周日变化上,受潮汐作用和海区生物活动的影响,东海陆架中部海域除底层以外,其它各层POC在午后、傍晚、凌晨出现浓度的高峰值,而西南海域,除了底层外,其它各层均表现出全日周期变化。     

氮磷同时缺乏对活性污泥系统的影响

为了考察氮磷同时缺乏对活性污泥系统的影响,采用2个序批式间歇反应器（SBR）,按照缺氧/好氧的方式平行运行,通过调节不同的进水COD/N/P比,考察了氮磷同时缺乏状态下活性污泥系统的污泥沉降性、絮体形态、出水水质以及比耗氧速率等方面的表现。结果表明,在氮磷同时缺乏时,当进水COD/N/P比为100/2/0.4时,活性污泥系统会发生丝状菌膨胀,而当进水COD/N/P为100/0.5/0.1时,污泥沉降性保持良好;各反应器的活性污泥浓度均在逐渐地下降,MLSS由约2200mg/L下降至1800mg/L以下;各反应器的比耗氧速率均呈现逐渐上升的趋势,COD的去除率呈现逐渐下降的趋势。     

土地利用方式改变对红树林沉积物中营养元素含量的影响

以广西、广东、海南等地代表性红树林湿地为对象,研究红树林湿地利用方式的改变对沉积物有机碳、总硫、总氮和总磷等营养元素的含量变化和影响,结果表明：1）广东和海南红树林区总氮和总磷变化相似,均为：沉积物〉农田〉鱼塘〉光滩,广西大冠沙稍有不同,光滩的氮磷含量最低;有机碳和总硫含量各地稍有差异,但是红树林沉积物中的有机碳,总硫...     

维管束植物桂花树叶片对大气氮沉降的吸收研究

本文通过测定维管束植物桂花树叶片的氮含量和氮同位素组成,分析其对大气氮沉降的截留吸收机制。为期一年(2009.03～2010.03)的监测数据显示,桂花树叶片氮含量为1.33%～3.09%,平均值为2.18%;叶片δ15 N为+0.54‰～+3.78‰,均值为+2.29‰。桂花树叶片N%、δ15 N的季节性变化趋势,总体呈现春、冬高,夏、秋低的规律,这与已有的贵阳市雨水监测数据一致。对比不同树冠厚度的叶片样品,发现叶片N%随树冠厚度增加而降低,顶部叶片N%表现为最高(2.39±0.4%),说明桂花树的树冠层对大气氮沉降有明显的截留吸收作用。桂花树顶部叶片δ15 N最偏负,而上覆树冠层最厚的下方叶片的δ15 N最偏正,反映了树冠层在吸收大气氮沉降过程中存在选择性吸收,引起同位素分馏,即树冠层越厚,穿冠水δ15 N越偏正,且分馏程度与树冠厚度成正比,导致下方叶片δ15 N最高。