基于人工神经网络的气体泄爆最大超压预测研究

为解决传统经验公式在预测气体泄爆中最大超压出现时的较大偏差或过于保守的问题,提出使用人工神经网络预测气体泄爆最大超压。基于124组实验数据,采用BP与RBF神经网络,通过优化算法计算与迭代循环对泄爆样本中的影响因素进行降维与选择,并确定2类神经网络本身在学习与计算气体泄爆样本时的相关参数。结果表明:PCA（主成分分析法）在当前样本条件下的降维效果较差,而通过迭代对比确认气体泄爆样本中的5类特征全部保留时神经网络的训练模拟效果最好;通过对124组实验数据进行随机挑选训练集与测试集的训练模拟结果发现,神经网络对气体泄爆中最大超压的预测效果较好;通过对比Molkov提出的和经Fakandu等改进的NFPA 68经验公式以及2类神经网络的预测结果表明,神经网络相比于传统气体泄爆经验公式具有明显优势。     

Effects of reciprocal hybridization on cadmium accumulation in F1 hybrids of two Solanum photeinocarpum ecotypes

In this study, farmland and mining ecotypes of Solanum photeinocarpum (a potential cadmium (Cd) hyperaccumulator plant) were reciprocally hybridized each other, and the Cd accumulation characteristics of the F1 hybrids were studied. In pot experiments, higher biomasses and Cd extraction abilities were found for two S. photeinocarpum F1 hybrids than for the parents, but the Cd contents in various organs were lower in the hybrids than the parents. However, the differences between the Cd contents in the two hybrids were not significant. The antioxidant enzyme (superoxide dismutase and peroxidase) activities were higher for the S. photeinocarpum F1 hybrids than the parents. Less DNA methylation was found in the hybrids than the parents because more demethylation occurred in the hybrids than the parents. The biomass, Cd content, and Cd extraction ability effects in field experiments were similar to the effects in the pot experiments. It was concluded that reciprocally hybridizing different S. photeinocarpum ecotypes improved the ability of S. photeinocarpum to be used to phytoremediate contaminated land.

     

高分子稳定剂改良河道岸坡表层砂土水稳定性试验研究∗

针对河道岸坡表层砂土水稳定性问题,采用高分子稳定剂对砂土进行改良,结合浸泡崩解测试法和浸泡剪切测试法对改良砂土的水稳定性进行一系列的试验研究,并对砂土改良前后的水稳定性进行对比分析,并结合微观扫描电镜对改良机理进行分析。研究结果表明：稳定剂可以提高河道岸坡表层砂土的水稳定性。改良砂土随着稳定剂含量和密度的增大,崩解后的散开面积减少,当稳定剂含量达到0.3%时,试样呈现稳定状态。改良砂土试样在200 kPa轴向应力下的剪应力峰值整体上随稳定剂含量和密度的增加而增加。改良砂土的水稳定系数K随着稳定剂含量和砂土密度的增加而增大;当稳定剂含量大于3%时,改良砂土的稳定系数K均达到90以上。高分子稳定剂作为一种土体改良材料,与水混合后加入到砂土中,可填充砂土颗粒间的孔隙,包裹和连接砂土颗粒,形成一个整体的网状膜结构,提高砂土的水稳定性能。研究结果可为河道岸坡有效治理提供一定的参考。     

场开挖爆破粉尘粒度分布特征杨房沟水电站料∗

通过分析杨房沟水电站料场开挖爆破粉尘的粒度分布特征,为改进爆破降尘工艺提供粉尘粒度学依据。在料场爆破区、工作平盘、出入沟、最终边帮等处采集粉尘样品,采用激光粒度分布仪测试粉尘样品的分散度;以粉尘粒度分布数据拟合分布函数,表明爆破粉尘的粒度分布函数呈现对数正态分布特征;与经典的罗森·拉姆勒(Rosin?Rammler)分布函数模型对比分析表明,对数正态分布函数用于描述爆破粉尘的粒度分布更加准确。基于对数正态分布函数模型,厘定爆破粉尘粒度分布参数,分析TSP、PM10、PM5、PM2.5及PM1粉尘占全尘的比例,定量表达爆破粉尘粒度分布特征。结果表明：杨房沟水电站料场爆破粉尘具有显著的对数正态分布特征;离爆破中心距离越远,粒度分布范围越窄,对人体有害粉尘占比越大;建议采用爆破粉尘捕捉吸附技术、掺和湿润性抑尘剂的水雾喷洒等降尘措施。     

UV Spectroscopic Monitoring of Vaporized Monoaromatic Hydrocarbons from Petroleum-Contaminated Soils

Fast and simple systems using ultraviolet (UV) absorbance were examined for on-line monitoring of monoaromatic hydrocarbons from petroleum-contaminated soils in this research. Since soil particles hinder the UV light transmittance, the absorbance measurement of vaporized monoaromatic hydrocarbons in soil gas extracted from petroleum-contaminated soils was proposed. In the fixed system that exhibited higher sensitivity than the portable one, the absorbance intensity of benzene, toluene, ethylbenzene, and xylene increased in proportion to the concentration of the contaminants. The portable system, however, was suitable for screening purpose, while it exhibited faster response. There was no interference from water, which helps the applicability of the proposed systems to the actual fields.     

Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations

We introduce robust procedures for analyzing water quality data collected over time. One challenging task in analyzing such data is how to achieve robustness in presence of outliers while maintaining high estimation efficiency so that we can draw valid conclusions and provide useful advices in water management. The robust approach requires specification of a loss function such as the Huber, Tukey’s bisquare and the exponential loss function, and an associated tuning parameter determining the extent of robustness needed. High robustness is at the cost of efficiency loss in parameter loss. To this end, we propose a data-driven method which leads to more efficient parameter estimation. This data-dependent approach allows us to choose a regularization (tuning) parameter that depends on the proportion of “outliers” in the data so that estimation efficiency is maximized. We illustrate the proposed methods using a study on ammonium nitrogen concentrations from two sites in the Huaihe River in China, where the interest is in quantifying the trend in the most recent years while accounting for possible temporal correlations and “irregular” observations in earlier years.     

城镇化过程中的流域面源污染时空变化

以斧头湖流域为研究对象,在野外调查的基础上,借助遥感和GIS技术,对2008年、2015年斧头湖流域土地利用格局、人畜排放进行分析,利用输出系数模型解析斧头湖的面源污染负荷时空分布及主要来源。结果表明:斧头湖流域2008～2015年面源总氮（TN）和总磷（TP）负荷输出分别从由原来的 2 915 和 178 t 增长至 3 252 和 202 t。城镇化发展使得农村耕地面积减少,耕地对TN的输出贡献比例降低,但是耕地化肥使用依然是TN最主要来源。城镇化使得居民区对面源贡献增大,特别是TP的贡献显著增加。随着人们生活水平的提高,畜禽养殖对面源污染的贡献也显著增加,应予以足够重视     

钢渣吸附处理苯酚废水的研究

采用恒温振荡的方法,考察了钢渣粒径、吸附温度、振荡速度、溶液pH值、溶液初始浓度对苯酚去除率的影响。结果表明,在粒径为120~180目、pH=4.0、苯酚溶液浓度在500 mg/L以内、苯酚/钢渣质量比为1∶1 000时吸附效果最好。钢渣对苯酚的吸附能较好地符合Langmuir和Freundlich吸附等温线,线性相关系数分别为0.9971和0.9916,吸附机理为表面吸附。     

铁炭复配修复地下水中NO_3~--N的条件研究

采用了铁炭复配修复地下水中NO3--N,探讨了实验条件对修复效果的影响。结果表明,在pH值近中性条件(初始pH 6.42)下,反应时间为1 h时NO3--N修复率达到60.85%;Fe/C=1∶1时介质最佳用量分别为4~5 g;Fe/C=1/1.5时修复率为72.80%;反应速率在高振荡强度下大于低振荡强度;氧化铜的催化效果最好,可使修复率提高7.5个百分点。铁炭复配介质修复地下水中NO3--N是有效可行的,修复率随反应时间的增加而提高,在Fe/C=1∶1时修复率与介质用量呈正相关,无限减小Fe/C比并不能无限提高修复率,振荡强度对修复具有显著影响,低振荡强度下的修复过程较高强度存在滞后现象,并非所有金属氧化物催化剂对铁炭修复NO3--N均有促进作用。     

以红薯浸泡液为碳源的生物反硝化

为选择低碳氮比污水生物脱氮中合适的碳源,以搅拌罐浸泡淀粉类物质释放碳源,在确定利用红薯浸泡液为碳源后,以浸没式生物滤池为反应器进行生物反硝化实验。实验结果表明:20 g红薯置于2 L自来水中,采用250 r/m in的搅拌速度,搅拌频率为每搅拌3 h停1 h,2 d后得到的浸泡液COD浓度平均为5 921 mg/L,最高可超过7 000 mg/L;将此红薯浸泡液和污水以1∶50的流量比例,采用分别投加的方式进入反应器,污水中总氮、硝酸盐氮、亚硝酸盐氮及氨氮的平均去除率分别为88.6%、91.6%、88.2%和54.8%,出水COD平均在30 mg/L以下;在红薯浸泡液COD浓度为5 700 mg/L左右时,进水中亚硝酸盐氮浓度与硝酸盐氮浓度比为3∶2时总氮去除率为95.3%,当该比例为2∶3时总氮去除率为88.2%。研究表明,红薯浸泡液是一种经济合适的碳源,采用红薯浸泡液作为低碳氮比污水生物处理中反硝化的碳源是可行的。