Emissions from RDF/coal blended fuel combustion

The significant volume and weight reduction along with the energy potential of MSW, in the form of refuse derived fuel (RDF), has made its incineration an attractive alternative. However, the gaseous emissions such as, CO₂, CO, NO_x and SO₂, which are the byproduct of the combustion process pose serious environmental problems. These problems are compounded by the presence of certain highly regulated hazardous wastes such as, dioxins and furans in the exhaust stream. In the present investigation, different compositions of RDF/Coal blends were examined and the gaseous emissions from the combustion of the briquetted fuel were measured. Also, a direct comparison of emissions from RDF/coal blend incineration with coal combustion is presented in this paper. The potential for recovery of ferrous and non- ferrous metals provides an additional economic motivation for the use of RDF/Coal blended briquettes.     

H2O2 formation from photocatalytic processes at the ZnO/water interface

The paper focuses on the production of H2O2 by photocatalysis over ZnO in an aerated aqueous phase. The presence of different reductants that increase the H2O2 production in the aqueous phase is analysed; particular attention is paid to nitrite, which has been shown to be the reductant that produces the most significant increments in the H2O2 production. The photocatalytic anodic decomposition of ZnO in the presence of the different reductants is also investigated. From the results obtained, the relevance of the ZnO photocatalysis in the formation of environmental hydrogen peroxide is estimated.     

Dechlorination of 1,2,4-trichlorobenzene in the sediment of Ise Bay

The relation between dechlorination activities of 1,2,4-trichlorobenzene and anaerobic microbial activity were studied in the sediment collected at three sites in Ise Bay in Japan. The degradation rate of spiked 1,2,4-trichlorobenzene (3nmol ml⁻¹) ranged from 15 to 35 pmol day⁻¹ ml⁻¹ wet sediment and about 1/3 to 1/2 of degraded the trichlorobenzene was recovered as dechlorinated products. Among the dichlorobenzenes, the 1,2-isomer had the highest and 1,3-isomer had the lowest production rate. Comparing the three sampling sites, the trichlorobenzene degradation and dichlorobenzenes production rates were related to the sulfate reducing activity for the unit number of sulfate reducing bacteria. Production rates of dichlorobenzenes were completely inhibited by adding molybdate (20 mM), nitrate (60 mM), and formaldehyde solution (4 %). These results indicated that dechlorination activity in the Ise Bay sediment was supported by sulfate reduction activity in the sediment, and not supported by any other anaerobic microbial activity.     

水解酸化-缺氧法处理采油废水的污染物迁移降解试验研究

水解酸化．缺氧法对采油废水有较好的处理效果，采用GC／MS技术对水解酸化-缺氧法处理采油废水过程中污染物的迁移降解进行的研究表明：水解酸化段和缺氧段对采油废水中碳原子为C6-C9、分子量为100—140的有机物均有较好的降解能力。其中，在水解酸化段中酮类、芳烃得到较好的降解，缺氧段中酚类和醚类化合物降解明显。水解酸化-缺氧工艺对于采油废水中的甲苯和二甲苯具有较好的降解能力。     

京津冀民用燃煤减排对大气中BaP污染影响评估

运用空气质量模型CMAQ模拟评估民用燃煤减排政策对京津冀大气中BaP污染状况的改进效果,模拟包括作为基准情景的2014年和低消减和高消减2个减排情景.模拟结果表明：基准情景下,京津冀BaP年均浓度为2.54ng/m³,超过国家空气质量标准（1ng/m³）,呈现1月 > 4月 > 10月 > 7月的季节变化特点,反映出冬季供暖燃煤的影响;京津冀南部BaP浓度高于北部,推测原因是南部BaP排放量较高.1月削减民用燃煤排放量对降低该地区BaP浓度和沉降量效果最显著,低削减和高削减下,北京、保定、廊坊BaP浓度分别比基准情景降低30%和40%以上;4、7、10月削减民用燃煤排放量对该地区BaP浓度和沉降量的变化影响不大.京津冀民用燃煤联防联控能更加有效地降低该地区BaP浓度.     

Cu/ZnO-RGO的抗菌性能及应用

采用溶胶-凝胶法制备铜锌复合氧化物（Cu/ZnO）,并将Cu/ZnO纳米粒子负载到还原氧化石墨烯（RGO）表面制备Cu/ZnO-RGO复合材料.对Cu/ZnO-RGO复合材料进行表征分析及抗菌性能考察,结果表明,Cu/ZnO纳米粒子成功负载在RGO表面,负载前后Cu/ZnO纳米粒子形态不发生改变,复合材料纯度较高.Cu/ZnO-RGO复合材料对大肠杆菌与金黄色葡萄球菌均有着优异的抗菌性能,可以破坏细菌细胞膜,导致细菌内容物流出,延长细菌进入对数生长期所需的时间.当RGO质量分数为15%?Cu/ZnO-RGO复合材料使用量为120μg/mL时,在循环冷却水系统中作用2h即可拥有96.76%的抗菌率.     

有机物对SAD的影响及其数学模拟

通过血清瓶批式实验,研究了不同C/N下葡萄糖和乙酸钠对厌氧氨氧化耦合反硝化系统（SAD）污泥活性及脱氮性能的影响.耦合系统颗粒污泥为在亚硝态氮充足的UASB连续流反应器中培养得到,具有较高的厌氧氨氧化活性和反硝化活性.以葡萄糖为碳源,C/N分别为1,2,4时,厌氧氨氧化活性差异不大,反硝化活性逐渐增加,亚硝态氮最大降解速率分别为0.265,0.345,0.453kgN/（kgVSS·d）;以乙酸钠为碳源,C/N分别为1、2、4时,厌氧氨氧化活性和反硝化活性都无明显差别.相同C/N下,耦合系统以葡萄糖为碳源时的厌氧氨氧化活性较高,以乙酸钠为碳源时的反硝化活性较高.C/N分别为1,2,4时,以葡萄糖为有机物的氨氮最大降解速率分别为乙酸钠的1.15,1.19,1.58倍,以乙酸钠为有机物时反应的亚硝态氮最大降解速率分别为葡萄糖的1.89,1.48,1.15倍.实验的数学模拟结果表明,通过模型的模拟,能较为准确地预测实验过程中氮素的变化趋势,在C/N为1~4时耦合系统中颗粒污泥的厌氧氨氧化活性无较大变化.     

基于机器学习和卫星遥感的PM2.5/10 空间连续分布反演方法研究

在过去的几十年里,快速的经济发展以及工业化、城镇化进程加速使得中国的资源环境承担的压力不断加大。作为影响空气质量的首要污染物,PM_2.5和PM₁₀（记为PM_2.5/10）直接影响着广大人民群众的身体健康。因此,针对PM_2.5/10浓度进行遥感反演研究,对环境监测和控制改善全国空气环境质量具有重要的意义。近些年来,随着对近地面PM_2.5/10浓度研究的不断深入,基于遥感影像数据进行PM_2.5/10浓度的反演方法也日益增多。本文利用Google Earth engine（GEE）平台获取了海量的Landsat 8 OLI遥感影像数据,并结合气象信息、空间特征等参数,采用机器学习中常用的多层映射反向传播神经网络构建了波段反射率与PM_2.5/10浓度之间的反演模型,以获得PM_2.5/10在研究区域的连续分布。为了提高基础PM_2.5/10反演模型的反演精度,还从影响因素和前溯时间两个维度出发,探寻了模型的最优化输入参数组合,并最终实现了对PM_2.5/10浓度的精准反演。以北京市地区为例,模型的PM_2.5和PM₁₀的反演精度R²分别达到0.814和0.796,均方根误差RMSE分别为19.21 μg?m^?3和28.31 μg?m^?3。鉴于该反演结果具有较高的准确性和可靠性,本文所建立的方法模型为研究PM_2.5/10在空间上的连续分布特征提供了新的思路和方法,具有较为重要的科研意义与广泛的应用价值。