O3/H2O2 Treatment of Methyl-terf-Butyl Ether in Contaminated Waters: Effect of Background COD on the O3-Dose

The destruction of methyl-tert-butyl ether (MTBE) in contaminated waters by O₃/H₂0₂ process was studied and the influence background COD, alkalinity, and hydrogen peroxide and MTBE concentrations on process treatment efficiency and ozone dosage was investigated. The treatment efficiency was evaluated by an Efficiency Index, which is based on electrical energy requirement for ozone production. It was found that the treatment efficiency decreases linearly with increasing concentrations of MTBE at constant background COD and with background COD at constant MTBE concentration. A simplified kinetic scheme was presented to account for these observations.     

基于全概率公式直接推求管运洪水

本文为保证防洪安全的前提下充分发挥水库的综合效益,提出了基于全概率公式推求管运洪水的方法,并详细阐述了其基本原理;提出了在资料较短或前、后汛期洪水特性大致相同的情况下运用全概率公式推求管运洪水的实际方法;以马边站的洪水资料进行实例研究,其结果表明基于全概率公式推算出来的管运洪水既能使水库工程达到防洪标准,又能充分发挥水库的综合效益。     

Downscaling of the flood discharge in a probabilistic framework

Many modeled and observed data are in coarse resolution, which are required to be downscaled. This study develops a probabilistic method to downscale 3-hourly runoff to hourly resolution. Hourly data recorded at the Poldokhtar Stream gauge (Karkheh River basin, Iran) during flood events (2009–2019) are divided into two groups including calibration and validation. Statistical tests including Chi-Square and Kolmogorov–Smirnov test indicate that the Burr distribution is proper distribution functions for rising and falling limbs of the floods’ hydrograph in calibration (2009–2013). A conditional ascending/descending random sampling from the constructed distributions on rising/falling limb is applied to produce hourly runoff. The hourly-downscaled runoff is rescaled based on observation to adjust mean three-hourly data. To evaluate the efficiency of the developed method, statistical measures including root mean square error, Nash–Sutcliffe efficiency, Kolmogorov-Smirnov, and correlation are used to assess the performance of the downscaling method not only in calibration but also in validation (2014–2019). Results show that the hourly downscaled runoff is in close agreement with observations in both calibration and validation periods. In addition, cumulative distribution functions of the downscaled runoff closely follow the observed ones in rising and falling limb in two periods. Although the performance of many statistical downscaling methods decreases in extreme values, the developed model performs well at different quantiles (less and more frequent values). This developed method that can properly downscale other hydroclimatological variables at any time and location is useful to provide high-resolution inputs to drive other models. Furthermore, high-resolution data are required for valid and reliable analysis, risk assessment, and management plans.     

基于改进差别矩阵和专家知识的态势指标提取算法

针对常规粗糙集约简算法在应用中的样本指标提取困难和效率低下等问题,将粗糙集理论引入到态势指标提取中,基于差别矩阵压缩和分类选择实现态势指标决策表的信息约简,结合专家知识的指标重要性度量调整态势指标的选择,提出一种基于改进差别矩阵和专家知识的态势指标提取算法.在态势指标体系实例中进行分析和验证,实验表明该算法具有较好的态势指标约简效果,提取后的指标在网络安全评估中是合理的,因此该研究为态势指标的有效提取提供一种可行的解决途径.     

无线环境中不均匀广播算法研究

阿查里亚的多盘碟片算法实现了在一段广播时间内,将热门数据分发次数多于较冷门的数据,即不均匀广播,在降低用户等待时间方面提供了很好的表现。然而,移动设备必须不断地调整无线广播频道去检查数据,消耗了大量的能量。在广播的文件上使用索引技术,可以在无显著增加等待时间的前提下,大大降低移动设备的能量消耗。本文在多盘广播算法的基础上,提出一种倾斜索引(SI)的高效不均匀索引。这种算法根据用户的倾斜访问模式建立了一个索引树,在一个广播循环内,多次分发热门索引节点,少分发非热门索引节点。     

Research on the Weight of Index for the Assessment Standard for Green Store Building

Assessment standard for green store building of national standard has been compiled. The index has been given by experts＇ subjective assignment based on experience. Analytic hierarchy process has been used, making questionnaires of experts, using pairwise comparison and calculating the weight of each index. The weight of index in assessment would not only make quantitative evaluation on the whole situation of green store buildings, but also provide the foundation for compilation and revision.     

Control 5.0: From Newton to Merton in Popper's Cyber-Social-Physical Spaces

The future of control in cyberspace of parallel worlds is discussed. It argues for the coming age of Control 5.0, the control technology for the new IT capable of dealing with artificial worlds with VR, AR, AI and robotics. The discipline of automation needs a new interpretation of its core knowledge and skill set of modeling, analysis, and control for cyber-socialphysical systems, and a paradigm shift from Newtonian Systems with Newton's Laws or Big Laws with Small Data to Mertonian Systems with Merton's Laws or Small Laws with Big Data.      

Comparing interpolation techniques for monthly rainfall mapping using multiple evaluation criteria and auxiliary data sources: A case study of Sri Lanka

Interpolating climatic variables such as rainfall is challenging due to the highly variable nature of meteorological processes, the effects of terrain and geography, and the difficulty in establishing a representative network of stations. While interpolation models are being adapted to include these effects, often the rainfall data contain significant gaps in coverage. In this paper, we evaluated rainfall data from an agro-ecological monitoring network for producing maps of total monthly rainfall in Sri Lanka. We compared four spatial interpolation techniques: inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging. Error metrics were used to validate interpolations against independent data. Satellite data were used to assess the spatial pattern of rainfall. Results indicated that Bayesian kriging and splines performed best in low and high rainfall, respectively. Rainfall maps generated from the agro-ecological network were found to have accuracies consistent with previous studies in Sri Lanka.     

基层水利防汛队伍现状与对策

通过对乡(镇)水管站的现状进行分析,总结了基层水利队伍建设存在的问题,提出了加强基层水利队伍建设的建议.     

康山蓄滞洪区洪水风险图研制分析

根据康山蓄滞洪区基础资料,分析不同洪水风险图编制方法,并研制了康山蓄滞洪区洪水风险图,给防汛部门实施指挥决策、抢险救灾提供依据,确保康山蓄滞洪区分洪运用前人员安全及时转移,最大限度地避免人员伤亡,减轻财产损失.