混凝法深度处理印染废水中试研究

采用"高效混凝沉淀-过滤"深度处理工艺处理印染废水二级生化出水,并将混凝沉淀污泥回流.实验结果表明,混凝剂聚合氯化铝加入量为160 mg/L时,COD去除率平均可达34.6%,TP去除率平均达到87.9%,平均出水TP为0.3 mg/L.气相色谱-质谱分析和元素分析结果表明混凝沉淀工艺对有机物和TP的去除效果良好.     

双区电除尘器降低锅炉烟尘排放浓度

粉尘在传统结构的荷电区荷电之后,一部分尘粒被阳极板捕集,大部分带有正、负电荷的尘粒再分别被收尘区的管式辅助电极和阳极板捕集.模拟试验数据表明,收尘区具有高电压、低电流和板电流密度分布均匀的特性.工业性试验结果显示,应用双区电除尘技术设计或改造电除尘器,不仅可以较好地防止发生反电晕,而且能够将锅炉烟尘排放质量浓度降低到50 mg/m3以下.与传统的卧式电除尘器相比,还可节省10%左右的占地面积和钢材用量.     

1.5t、3t电弧炉烟尘治理

针对1.5 t、3 t电弧炉在烟尘治理时场地狭小的特点,采用可折叠式收尘罩与低压长袋脉冲袋式除尘器技术进行治理.测试表明,系统运行可靠,烟尘治理效果良好,工厂车间环境取得显著改善,岗位粉尘浓度、烟尘排放浓度均达到国家规定的标准.     

稻草制浆黑液生物＋混凝处理试验

通过对稻草制浆黑液厌氧、好氧、混凝处理组合工艺的试验研究,探索该工艺的可行性,考察了不同温度、不同有机负荷下,该类废水的生物处理效果以及后续混凝效果。结果表明：中温35℃是厌氧阶段最佳处理温度,好氧阶段不同负荷条件下,CODCr去除率基本相同;经厌氧－好氧处理,黑液CODCr和木质素去除率分别为80％和30％,色度去除不明显;混凝阶段CODCr和木质素去除率分别为70％和90％,色度去除率达90％以上,出水达到国家标准。     

南通台核旋观测干扰的排除

针对南通地震台核旋观测的干扰 ,通过多种试验最终加以排除。这项工作表明 ,地震台站环境改造中要注意监测环境的保护 ,特别是铠装电缆的铺设要考虑到对磁、电观测的影响 ,并就如何进一步提高核旋的观测质量提出建议。     

强化混凝去除微污染原水胶体颗粒的研究

对珠江水系统进行了强化混凝处理,燕利用准弹性激光散射技术（PCS）对常规混凝和强化混凝前后水中胶体颗粒（小于0.45um)的大小与分布进行了测定,探讨了搅拌条件对混凝效果的影响。     

深圳市纯电动泥头车减污降碳协同效益评价研究

新能源汽车替代传统燃油车是减缓能源与环境压力并如期实现“双碳”目标的重要途径,但在重型车辆、工程车等领域推广较为缓慢.深圳市自2019年开始推广使用纯电动泥头车,并计划到2025年新能源环卫、泥头车数量达到8000辆.为深入探究纯电动泥头车替代柴油泥头车所产生的减污降碳协同效益,本研究基于一手调研数据,采用生命周期评价方法并结合GREET模型,对比分析了两类泥头车在燃料周期、车辆周期和配套设施周期3个周期内的能耗、主要空气污染物及碳排放情况.结果表明,纯电动泥头车全生命周期内能耗较柴油泥头车可减少36.2%,主要污染物如NO_x、SO₂、VOC和PM_2.5降幅分别达81.3%、37.8%、29.0%和25.9%;温室气体(GHGs)排放强度减少14.4%,基准情境下2030年和2050年推广纯电动泥头车GHGs累计减排量分别为71.4万t和258.5万t.尽管节能减排效果显著,但其初始购置和售后维保成本过高是制约其推广的最主要因素,通过降低车辆及电池生产制造成本、提高充换电设施数量及售后维保能力等有望加快泥头车纯电动化.     

中波台电磁辐射叠加影响估算及与实测对比分析

以某中波电台为例,对多个不同频率的中波发射台同时运行时复合场强进行理论估算,对电磁辐射叠加影响进行分析,并将理论估算值与该台电磁辐射环境现状监测数据进行比对,得出距离发射塔近,复合场强理论估算值高于实测值,距离较远理论估算值与实测值较接近等结论。     

以活性染料为主要成分的印染废水的混凝脱色试验

用硫酸亚铁、碱式氯化铝(PAC)和聚丙烯酰胺(PAM)对以活性染料为主要成分的印染废水进行混凝脱色试验,阐述了混凝脱色机理,对脱色影响因素和控制条件等进行了试验研究.     

Road traffic injuries among riders of electric bike/electric moped in southern China

Objective: Electric bike/moped-related road traffic injuries have become a burgeoning public health problem in China. The objective of this study was to identify the prevalence and potential risk factors of electric bike/moped-related road traffic injuries among electric bike/moped riders in southern China.

Methods: A cross-sectional study was used to interview 3,151 electric bike/moped riders in southern China. Electric bike/moped-related road traffic injuries that occurred from July 2014 to June 2015 were investigated. Data were collected by face-to-face interviews and analyzed between July 2015 and June 2017.

Results: The prevalence of electric bike/moped-related road traffic injuries among the investigated riders was 15.99%. Electric bike/moped-related road traffic injuries were significantly associated with category of electric bike (adjusted odds ratio [AOR] = 1.36, 95% confidence interval [CI], 1.01–1.82), self-reported confusion (AOR = 1.77, 95% CI, 1.13–2.78), history of crashes (AOR = 6.14, 95% CI, 4.68–8.07), running red lights (AOR = 3.57, 95% CI, 2.42–5.25), carrying children while riding (AOR = 1.96, 95% CI, 1.37–2.85), carrying adults while riding (AOR = 1.68, 95% CI, 1.23–2.28), riding in the motor lane (AOR = 2.42, 95% CI, 1.05–3.93), and riding in the wrong traffic direction (AOR = 1.63, 95% CI, 1.13–2.35). In over 77.58% of electric bike/moped-related road traffic crashes, riders were determined by the police to be responsible for the crash. Major crash-causing factors included violating traffic signals or signs, careless riding, speeding, and riding in the wrong lane.

Conclusion: Traffic safety related to electric bikes/moped is becoming more problematic with growing popularity compared with other 2-wheeled vehicles. Programs need to be developed to prevent electric bike/moped-related road traffic injuries in this emerging country.