单标多点校正组合英蓝超滤测定地表水中多种阴离子

建立了利用组合单标多点校正和英蓝超滤单元的离子色谱法测定地表水中F-、C1-、NO3-、S0424—4-种离子的方法，方法操作简便，灵敏度高，线性范围广，抗干扰能力强，可同时快速测定不同数量级浓度的离子，降低了配置标准品和样品前处理的复杂性，减少了因前处理带来的干扰。     

吹扫捕集—气相色谱法测定水中的吡啶

吹扫捕集—气相色谱法能很好地满足地表水、废水中吡啶的分析要求,具有前处理简单、对设备要求低、抗干扰能力强的优点,且有良好的线性关系,相关系数达到0.999以上,相对标准偏差为1.3%~4.1%,加标回收率为80.1%~99.7%,方法检出限为0.015 mg/L。     

脂肽类生物表面活性剂液体发酵条件的响应面优化

通过Plackett-Burman和Box-Behnken实验对解淀粉芽孢杆菌XZ-173液体发酵生产表面活性素进行了响应面优化研究。首先使用Plackett-Burman实验对影响表面活性素产量的17个因素进行显著性筛选,结果表明,MnSO4、CuSO4、温度和转速为显著性因素。再运用Box-Behnken实验对这4个显著因素的取值进一步优化,得到各因素优化后的数值分别为4.4 mg/L(MnSO4)、0.18 mg/L(CuSO4)、29℃(温度)和163 r/min(转速)。响应面分析结果表明:该菌株产生表面活性素的最佳培养基为:葡萄糖15 g/L,蛋白胨5 g/L,L-谷氨酸钠6 g/L,KH2PO40.8 g/L,MgSO40.4 g/L,KCl 0.4 g/L,酵母提取物3 g/L,L-苯丙氨酸2.5 mg/L,MnSO44.4 mg/L,CuSO40.18 mg/L,FeSO40.12 mg/L;最适培养条件:pH 7.5,温度29℃,转速163 r/min,接种量5%,装液量50 mL/250 mL,摇床培养36 h。在优化后的条件下,表面活性素实际产量为336 mg/L,实际实验结果与模型预测结果相一致。表面活性素采用HPLC技术分离,发现其在浓度仅为50 mg/L时EI24就可达到70%以上,反映了表面活性素优异的乳化活性以及广阔的应用前景。     

响应曲面法优化复合絮凝剂的制备工艺

为了提高染料废水中COD和色度的去除效果,采用响应曲面法对聚硅酸类新型复合絮凝剂的制备工艺进行了优化实验研究。在单因素实验基础上采用Box-Behnken Design(BBD)实验设计方法,设计出了影响染料废水处理效果的3因素3水平共15组实验,其中n(Fe+Al):n(Si)的摩尔比为4～6,n(B+Mg):n(Si)的摩尔比为0.3～0.7,熟化时间为1～3 d。根据15组实验结果,以COD去除率和色度去除率为响应值分别建立了二次多项式响应曲面模型。模型优化结果显示,在n(Fe+Al):n(Si)摩尔比为5∶1,n(B+Mg):n(Si)为0.5∶1,熟化时间为2 d的条件下,制备得到的新型复合絮凝剂聚硅酸铝铁硼镁具有最佳的絮凝处理性能和脱色效果,能有效去除染料废水中的COD和色度,其中出水色度接近于0,COD的去除率达到87.65%,模型验证实验进一步验证了本文所建立的响应曲面法在复合絮凝剂制备工艺优化中的有效性。     

高效脱硫菌的筛选及其性能研究

从高硫污染的活性污泥中富集培养，分离纯化得到一株可以降解噻吩的菌株s_4，并对该菌株的形态特征进行观察。应用Design—Expert8．0．5b软件进行响应面优化实验，研究了反应时间、噻吩浓度、微生物浓度3个因素的组合对菌株s_4脱硫效果的影响，并拟合得到多元二次回归方程，得出最佳实验条件。拟合结果表明，当反应时间27．46h，噻吩浓度为1．04％，微生物浓度4．04％时，预测噻吩降解率为14．8％，通过验证得最佳条件下的降解率为14．3％，与预测值相符。     

碱液预处理玉米秸秆的条件优化及添加剂的选择

利用稀NaOH溶液预处理玉米秸秆,以去除木质素,减少半纤维素、纤维素的损失为目的,采用响应曲面法对预处理条件进行优化,得到的最佳预处理条件为:NaOH溶液浓度0.77%(w/w),预处理时间16 h,温度45.6℃。并且,进一步研究了不同添加剂(聚乙二醇、吐温-80和尿素)与NaOH溶液协同作用下秸秆中木质素的去除效果,结果表明尿素与NaOH的混合溶液对木质素去除效果最显著。秸秆在45.6℃,0.77%NaOH和0.2%尿素混合溶液中浸泡16 h后,纤维素回收率为86.33%,半纤维素回收率为69.89%,木质素去除率为64.93%;与原秸秆相比,纤维素含量提高了31.70%,半纤维素含量提高了6.62%,木质素含量减少了46.48%。     

突变灰盖鬼伞过氧化物酶降解刚果红的响应面法优化分析简

酶法降解偶氮染料刚果红是一个复杂的过程，受温度、pH、酶量、刚果红浓度和双氧水浓度显著影响。为研究各因素及因素间交互作用对刚果红降解影响，提高刚果红的降解率，分别使用单因素法和响应面分析法对刚果红降解条件进行了优化。单因素实验结果显示灰盖鬼伞过氧化物酶降解刚果红的最适条件为：pH 5.0、32℃、酶量4.98 U、双氧水0.1 mmol/L、刚果红20 mg/L，此时刚果红最高降解率为34.84%。然后选双氧水浓度、刚果红浓度和灰盖鬼伞过氧化物酶量作为3个因素，通过中心组合设计实验，用响应面法对刚果红降解进行优化分析，最后得到一个拟合度良好的二次多项方程模型（R²=0.9900）。方差分析结果显示，刚果红浓度和酶量是影响最显著的因素，双氧水与酶以及染料与酶之间的交互作用极显著。响应面分析优化后的反应体系为：双氧水浓度0.15 mmol/L，刚果红浓度为27.21 mg/L，酶为2.0 7 U，在此条件下，刚果红降解率达58.13%。     

微生物絮凝剂与聚合氯化铝复配处理涂料废水的响应面优化

采用响应面分析法对聚合氯化铝(PAC)与污泥生产的微生物絮凝剂复配处理涂料废水的过程进行了优化,设定的响应值为COD和色度去除率。实验分别拟合了关于COD去除率和色度去除率的二次模型,根据响应值的分布情况,确定涂料废水的最佳絮凝条件为微生物絮凝剂浓度47 mg/L,PAC浓度39 mg/L,pH为8.2,CaCl2浓度0.38 g/L,搅拌速度210 r/min。最佳絮凝条件下,微生物絮凝剂对涂料废水中COD和色度的去除率分别达到77.6%和68.9%。     

Does Including Soil Moisture Observations Improve Operational Streamflow Forecasts in Snow‐Dominated Watersheds?

Changing climate and growing water demand are increasing the need for robust streamflow forecasts. Historically, operational streamflow forecasts made by the Natural Resources Conservation Service have relied on precipitation and snow water equivalent observations from Snow Telemetry (SNOTEL) sites. We investigate whether also including SNOTEL soil moisture observations improve April‐July streamflow volume forecast accuracy at 0, 1, 2, and 3‐month lead times at 12 watersheds in Utah and California. We found statistically significant improvement in 0 and 3‐month lead time accuracy in 8 of 12 watersheds and 10 of 12 watersheds for 1 and 2‐month lead times. Surprisingly, these improvements were insensitive to soil moisture metrics derived from soil physical properties. Forecasts were made with volumetric water content (VWC) averaged from October 1 to the forecast date. By including VWC at the 0‐month lead time the forecasts explained 7.3% more variability and increased the streamflow volume accuracy by 8.4% on average compared to standard forecasts that already explained an average 77% of the variability. At 1 to 3‐month lead times, the inclusion of soil moisture explained 12.3‐26.3% more variability than the standard forecast on average. Our findings indicate including soil moisture observations increased statistical streamflow forecast accuracy and thus, could potentially improve water supply reliability in regions affected by changing snowpacks.     

Reclaimed Mineland Curve Number Response to Temporal Distribution of Rainfall1

Warner, Richard C., Carmen T. Agouridis, Page T. Vingralek, and Alex W. Fogle, 2010. Reclaimed Mineland Curve Number Response to Temporal Distribution of Rainfall. Journal of the American Water Resources Association (JAWRA) 46(4): 724-732. DOI: 10.1111/j.1752-1688.2010.00444.x Abstract: The curve number (CN) method is a common technique to estimate runoff volume, and it is widely used in coal mining operations such as those in the Appalachian region of Kentucky. However, very little CN data are available for watersheds disturbed by surface mining and then reclaimed using traditional techniques. Furthermore, as the CN method does not readily account for variations in infiltration rates due to varying rainfall distributions, the selection of a single CN value to encompass all temporal rainfall distributions could lead engineers to substantially under- or over-size water detention structures used in mining operations or other land uses such as development. Using rainfall and runoff data from a surface coal mine located in the Cumberland Plateau of eastern Kentucky, CNs were computed for conventionally reclaimed lands. The effects of temporal rainfall distributions on CNs was also examined by classifying storms as intense, steady, multi-interval intense, or multi-interval steady. Results indicate that CNs for such reclaimed lands ranged from 62 to 94 with a mean value of 85. Temporal rainfall distributions were also shown to significantly affect CN values with intense storms having significantly higher CNs than multi-interval storms. These results indicate that a period of recovery is present between rainfall bursts of a multi-interval storm that allows depressional storage and infiltration rates to rebound.