体积压力板仪试验操作误差分析

体积压力板仪不仅可用于测试非饱和土的脱湿曲线,还能测试其浸湿曲线,对研究土壤与水分之间的物理关系具有重要意义.本文对2bar体积压力板仪的试验操作原理和步骤进行了详细说明,重点对试验操作中可能产生的误差和各种影响因素进行了分析,并以武汉市汉阳黏土土-水特征曲线试验为例,分析了导致试验误差产生的各种影响因素,以为采用体积...     

电感耦合等离子体发射光谱法测定地下水中锰的不确定度评定

本文对电感耦合等离子体发射光谱法测定地下水中锰含量的不确定度进行了评定,标准曲线采用双误差拟合法,建立了不确定度评定模型,对测定地下水样品中锰含量的不确定度作了评估。     

丛式并井眼交碰风险因素分析及安全技术对策

分析了丛式井井眼交碰的影响因素,从设计和施工两个方面提出了具体的技术措施,提出了以余隙系数(K)作为设计和施工的准则,以Btotal数值作为判断井眼是否接近的准则,经过实际应用,验证了以上技术措施的可靠性。     

白龙港污水处理厂污泥厌氧消化启动试验研究

分析了上海白龙港污水处理厂的化学污泥和剩余污泥的性质,在此基础上分别研究了以化学污泥、剩余污泥、化学污泥和剩余污泥组成的混合污泥为接种污泥,对比研究了三种污泥的厌氧消化启动,结果表明,从产气量和有机物降解率分析,三种污泥作为厌氧消化的种泥都是可行的,启动优先顺序为化学污泥>混合污泥>剩余污泥,但考虑到化学污泥进行厌氧消化后出泥脱水性能差,建议采用化学污泥和剩余污泥的混合污泥进行启动。     

Density estimation using ranked-set sampling data

The ranked-set sampling (RSS) is applicable in practical problems where the variable of interest for an observed item is costly or time-consuming but the ranking of a set of items according to the variable can be easily done without actual measurement. In the context of RSS, the need for density estimation arises in certain statistical procedures. The density estimation also has its own interest. In this article, we develop a method for the density estimation using RSS data. We derive the properties of the resulted density estimate and compare it with its counterpart in simple random sampling (SRS). It is shown that the density estimate using RSS data provides a better estimate of the density than the usual density estimate using SRS data. The density estimate developed in this article can well serve various purposes in the context of RSS.     

自动电位滴定法测定气田废水中的C1~-

利用电位滴定法在７１６ＤＭＳ型自动电位滴定仪上实现对气田废水中Ｃ１－的快速、灵敏、准确测定,避免了色度、浊度的干扰。对方法的检出限、标样和实际水样精密度、准确度,进行了全面的测定分析,并与硝酸银滴定法进行了对比。氯化物的检出限为０．３２ｍｇ／Ｌ;相对标准偏差小于等于２．１％,加标回收率在９８．９％１０１％范围内,对同一标样和实际样品的测定两种方法的结果吻合较好。     

火焰原子吸收测定中的背景吸收和基体干扰

为了探讨火焰原子吸收法测定成分复杂样品时干扰的影响,采用扣除背景的方法来排除背景吸收,采用标准加入法来消除基体干扰的影响。通过对上述方法的对比实验,绘制相应的工作曲线图,能直观、准确地反映出背景吸收和基体干扰对样品测定的影响程度。扣背景和采用标准加入法两者结合使用能达到使样品测定结果准确可靠的目的。     

河滩包气带中残油静态释放模型研究

通过释放试验,模拟了包气带中残残油在河流中刷及积水浸泡条件下残油和释放过程,讨论了温度对释放的影响,建立释放模型,并得到释放速率常数。结果表明残油释放由初始快速和随后的慢速两个过程组成。     

基于位置误差概率模型的物流无人机安全间隔评估方法研究

针对未来多架物流无人机飞行在同一航线可能引起的安全冲突问题,提出规划无人机之间的安全间隔以规避运行风险.根据无人机在地面控制系统监控下的飞行特点,结合位置误差概率模型,综合考虑无人机定位误差、速度误差以及侧风的影响,依次建立无人机之间纵向、侧向和垂直方向的碰撞风险评估模型,并得出ICAO安全目标水平下的最小安全间隔.选...     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.