Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

Fouling distribution in forward osmosis membrane process

Fouling behavior along the length of membrane module was systematically investigated by performing simple modeling and lab-scale experiments of forward osmosis （FO） membrane process. The flux distribution model developed in this study showed a good agreement with experimental results, validating the robustness of the model. This model demonstrated, as expected, that the permeate flux decreased along the membrane channel due to decreasing osmotic pressure differential across the FO membrane. A series of fouling experiments were conducted under the draw and feed solutions at various recoveries simulated by the model. The simulated fouling experiments revealed that higher organic （alginate） fouling and thus more flux decline were observed at the last section of a membrane channel, as foulants in feed solution became more concentrated. Furthermore, the water flux in FO process declined more severely as the recovery increased due to more foulants transported to membrane surface with elevated solute concentrations at higher recovery, which created favorable solution environments for organic adsorption. The fouling reversibility also decreased at the last section of the membrane channel, suggesting that fouling distribution on FO membrane along the module should be carefully examined to improve overall cleaning efficiency. Lastly, it was found that such fouling distribution observed with co-current flow operation became less pronounced in counter- current flow operation of FO membrane process.     

FBC-DPF在柴油机颗粒物控制中的应用研究

目前针对加装FBC-DPF(燃油添加剂-柴油机颗粒捕集器)后的柴油机放特性研究较少,并且缺乏FBC-DPF对颗粒物中PAHs排放量的影响效果研究.为全面评估加装FBC-DPF后柴油机颗粒物排放特性和FBC-DPF对柴油机尾气中的颗粒物排放污染控制效果,在发动机台架上对装有FBC-DPF的重型柴油机进行了颗粒物排放特性试验.利用电子低压撞击仪(ELPI)测量加装FBC-DPF前、后柴油机颗粒物的数浓度与粒径分布,用玻璃纤维滤膜采集加装FBC-DPF前、后尾气中的固相PAHs,利用色谱质谱联用仪对加装FBC-DPF前、后尾气中的固相PAHs进行定量分析.结果表明:①加装FBC-DPF后柴油机排放的颗粒物数浓度大幅降低,FBC-DPF对尾气中颗粒物的捕集效率平均值在95%左右;②加装FBC-DPF后柴油机固相PAHs总比排放量有所降低,在大负荷区域降幅在25.0%～88.0%之间;③加装FBC-DPF前的颗粒物中位直径为30～89 nm,而加装FBC-DPF后的颗粒物中位直径为41～98 nm,平均增幅为38.2%.对于国Ⅳ及未来国Ⅴ柴油机排放法规,FBC-DPF是解决柴油机颗粒物排放的有效手段;此外,FBC-DPF可以大幅降低柴油机尾气中的有毒成分,并且能够适应高含硫量的燃油环境.     

星肋小环藻、铜绿微囊藻春化作用基因控制机理

实验证实了星肋小环藻、铜绿微囊藻的春化作用后,其暴发控制机理成为研究重点。该文通过分析单细胞生物基因操作原理、遗传物质转录复制控制、温度对蛋白质的作用和酶原激活过程等,研究微藻春化作用基因控制机理,提出基因控制模型:激活基因-操纵基因连锁的基因操纵模型,由基因操纵子、调节基因和激活基因组成。该模型阐释2种藻类春末夏初大规模暴发机理:春季,调节基因产生的调节蛋白原被调节蛋白激活酶激活产生的调节蛋白与操纵基因结合,启动结构基因转录合成DNA合成酶系,DNA复制完成,藻体裂殖(繁殖)群体增长;夏季,高温下温度敏感的调节蛋白激活酶变性,使调节蛋白原激活产生变构的调节蛋白,同时与操纵基因和激活基因结合,激活基因不能产生调节蛋白激活酶激活调节蛋白原产生激活蛋白,这时铜绿微囊藻进入生长被抑制状态,星肋小环藻进入高温休眠状态;进入秋季,因之前无低温出现使热变性的激活酶复性,激活产生正常的调节蛋白与操纵基因结合,启动结构基因复制繁殖所需DNA酶系,尽管秋季温光适宜,星肋小环藻不会生长活动,铜绿微囊藻可生长但生长速度低于春末夏初时的生长速度;进入冬季,低温使热变性的激活酶复性,等待来年春暖激活调节蛋白原,启动新一年的藻生长。     

UASB处理酒精废水耐冲击特性与颗粒污泥分析

针对UASB耐冲击能力低的问题,采用短暂冲击负荷的方法进行52 d中试研究,并考察接种絮状污泥的UASB对以污冷凝水为主要成分的酒精废水的处理效果,结果表明,UASB呈现较强耐冲击负荷能力;第49天产气速率最高,可达3.03 L/(L·d),反应器内形成了粒径0.5~1.5 mm的颗粒,电镜扫描的颗粒污泥结构致密,由多个杆状细菌形成网状结构。在夏季无保温措施、负荷冲击条件下培养颗粒污泥是可行的。     

新型IC反应器在山梨醇废水处理中的工程应用

将布水装置优化后的新型内循环(IC)反应器应用于某山梨醇生产企业实际废水的二级厌氧生化处理,获得了较好的处理效果。调试阶段的结果表明:经过IC反应器的处理后,废水COD浓度由处理前的2 374~4 967 mg/L降至301~823 mg/L,COD去除率达81.4%~91.2%,COD容积负荷达8.1~13.7 kg/(m3·d);总体来说,当水力负荷增大时,COD容积负荷也相应增大;IC反应器的出水挥发性脂肪酸(VFA)基本控制在200 mg/L以下;厌氧出水再依次经过接触氧化池和絮凝沉淀池等配套工艺的处理后,COD降至80 mg/L以下,实现达标排放。     

V(Ⅴ)与V(Ⅳ)在不同土壤中的吸附-解吸行为研究

选择四川攀枝花地区广泛分布的3种土壤,研究五价钒[V(Ⅴ)]与四价钒[V(Ⅳ)]在土壤中的吸附-解吸行为。分别运用Langmuir模型和Freundlich模型对V在黄棕壤、紫色土和水稻土中的等温吸附线进行拟合,计算出这2种价态的V在各土壤中的最大吸附量,比较不同土壤对不同价态V的吸附能力,同时分别分析3种土壤吸附平衡液与解吸液pH的变化。结果表明:(1)2种价态的V在3种土壤中的等温吸附线与两模型均基本吻合;(2)3种土壤对2种价态的V的吸附能力大小顺序一致,依次为:黄棕壤>水稻土>紫色土;(3)3种土壤对V(Ⅳ)的最大吸附量基本一致,但紫色土与水稻土对V(Ⅴ)的最大吸附量高于黄棕壤;(4)V(Ⅳ)在3种土壤中的解吸率高于V(Ⅴ),最高可达48.93%;(5)V(Ⅴ)的吸附平衡液与解吸液pH均随V浓度增加呈上升趋势,而V(Ⅳ)的吸附平衡液与解吸液pH均随V(Ⅳ)浓度增加呈下降趋势,且3种土壤的吸附平衡液pH变化幅度较解吸液大。     

芦苇和藨草对不同程度富营养化水体的净化效果研究

通过设置3种浓度梯度的富营养化水体净化实验,研究了芦苇和藨草的生长状况及其对富营养化水体中N、P的去除效果。结果表明:芦苇和藨草在3种梯度的富营养化水体中均能正常生长,并对水中N、P有明显的去除效果。藨草在处理轻度和中度富营养化水体时要比芦苇占优势,在重度富营养化水体中,芦苇对N、P的去除能力要高于藨草,且二者对水中TP的净化效果要好于TN。通过对受试水样的TN、TP浓度随时间变化的动态曲线拟合得出,水体中TN、TP的浓度随时间变化呈负指数衰减,芦苇和藨草对富营养化水体的净化率随其在水体中停留时间的延长而递增。实验结果为利用挺水植物修复富营养化水体的模式和机理的深入研究提供了科学依据。     

MIL-101(Cr~(3+))可见光催化氧化降解甲基橙的研究

以金属有机多孔材料MIL-101(Cr3+)为非均相催化剂,过硫酸钠(Na2S2O8)为类Fenton体系的氧化剂,在可见光(300 W)下对甲基橙进行催化氧化降解研究。结果表明,MIL-101(Cr3+)在反应时间为120 min时对甲基橙降解率高达91.0%,且回收利用3次后仍表现出优异的降解性能(降解率达到81.0%)。同样条件下,把MIL-101(Cr3+)替换为TiO2或者不添加任何催化剂,甲基橙的降解率分别为25.6%和8.8%。采用紫外-可见漫反射光谱考察了常温下MIL-101(Cr3+)的禁带宽度大小,进一步证明其优异的光催化降解性能;同时还探讨了MIL-101(Cr3+)催化降解甲基橙的可能机理。     

德州市大气细粒子中碳组分的污染特征研究

2012年2-9月间在德州市城区及郊区布置6个采样点位,分别采集了采暖季(2012年2月28日-3月4日)、风沙季(2012年5月3日-8日)、非采暖季(2012年9月20日-9月25日)共216个PM2.5样品膜,采用美国Sunset Laboratory Inc热光反射法碳谱分析仪测定了PM2.5样品中OC、EC的浓度值,应用OC/EC比值法对SOC进行了估算。结果表明,德州市PM2.5污染较严重,年平均浓度为159.68μg/m3,各点位浓度的空间分布无明显差异,季节变化趋势为:采暖季>风沙季>非采暖季。PM2.5中OC和EC的平均浓度分别为16.80μg/m3、3.65μg/m3;OC和EC的日均浓度分别占PM2.5的9.61%和2.10%,OC是PM2.5的重要组成部分;OC、EC浓度的季节变化趋势与PM2.5浓度特征相同。年平均浓度为3.91μg/m3;SOC在OC和PM2.5中所占的比例分别为22.30%和2.54%,SOC对OC具有较大的贡献;SOC在OC中所占的比值季节变化趋势为风沙季>非采暖季>采暖季。