零价铁-氧化剂联合降解土壤中硝基氯苯及土壤性质变化

硝基氯苯是重要的化工原料和中间体,其在土壤中的不断积累对生态环境和人体健康构成了严重威胁.高级氧化修复技术可以将有机污染物直接或间接矿化为CO_2和H_2O,从而成为近年来研究的重点.本文针对南京某化工厂搬迁遗留的硝基氯苯污染的场地土壤,研究了零价铁还原与氧化剂氧化的联合体系对硝基氯苯的降解率,并对反应过程的中间产物和动力学进行了分析,研究了降解后土壤性质的变化.结果表明,当采用KMnO_4、Fenton试剂、30%H_2O_2和Na_2S_2O_44种氧化剂直接氧化时,土壤中硝基氯苯的降解率分别为75.0%、62.9%、58.1%和41.5%;经零价铁还原1 h后,再施加氧化剂氧化处理,硝基氯苯降解率大幅提高,分别达到91.5%、88.5%、87.4%和70.4%.零价铁还原体系中间产物氯代苯胺浓度4 h时达到最大,施加氧化剂后迅速下降,4 h后下降至最低并维持较稳定水平;硝基氯苯氧化反应在单一氧化剂反应体系符合一级动力学方程,但在零价铁与氧化剂联合反应体系符合二级动力学方程;降解后的土壤性质有较大变化,CEC、TOC和土壤养分显著下降,Eh和EC显著增加,土壤pH除施加Na2S2O4下降显著外,施加KMnO_4、Fenton试剂、30%H_2O_2时下降较小,但同时添加零价铁土壤pH下降显著;土壤全N、全P、全K变化不显著,这些可为修复后土壤的再利用提供数据参考.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

浅论《剑声花影》对复仇主题武侠小说的创新

武侠小说是表现复仇主题的最好的文学样式，传统的武侠复仇主题小说一般都有固定模式：仇杀——孤雏余生——练成绝技——复仇——坏人授首。而陆士谔的《剑声花影》突破了传统模式，采用以“报恩实现复仇”的形式演绎复仇主题。而且构思复仇故事时，有其独特之处，尤其是侠与情的结合，对民国侠情武侠小说派影响很大。     

QSPR prediction of chromatographic retention times of pesticides: Partition and fractal indices

The high‐performance liquid‐chromatographic retentions of red‐wine pesticide residues are modeled by structure–property relationships. The effect of different types of features is analyzed: geometric, lipophilic, etc. The properties are fractal dimensions, partition coefficient, etc., in linear and nonlinear correlation models. Biological plastic evolution is an evolutionary perspective conjugating the effect of acquired characters and relations that emerge among the principles of evolutionary indeterminacy, morphological determination and natural selection. It is applied to design the co‐ordination index that is used to characterize pesticide retentions. The parameters used to calculate the co‐ordination index are the molar formation enthalpy, molecular weight and surface area. The morphological and co‐ordination indices barely improve the correlations. The fractal dimension averaged for non?buried atoms, partition coefficient, etc. distinguishes the pesticide molecular structures. The structural and constituent classification is based on nonplanarity, and the number of cycles, and O, S, N and Cl atoms. Different behavior depends on the number of cycles.     

基于数值模拟的台风危险性分析综述(Ⅱ)——随机抽样模拟与极值风速预测

台风危险性分析是台风损失估计及防灾减灾的基础。对基于数值模拟的台风危险性分析所采用的随机台风概率模型、随机抽样模拟方法和极值风速预测进行了回顾与评述,包括台风关键参数概率模型及其相关性、台风路径模型、台风登陆衰减和海陆风速转换模型以及台风极值风速概率模型,并针对我国东南沿海地区台风危险性分析数值模拟采用的相关模型给出了相关建议。     

遗传和模拟退火算法在水质模型参数确定中的应用简介

水质模型参数的确定是构建水质模型的基础。相对于传统优化方法,现代优化算法的优势日趋明显。本文在基于现代优化算法的水质模型参数确定研究背景下,介绍了具有代表性的遗传算法和模拟退火算法,并对该两种算法的应用现状进行综述,旨在推进该领域的进一步探索。     

Cascade-based attack vulnerability on the US power grid

The vulnerability of real-life networks subject to intentional attacks has been one of the outstanding challenges in the study of the network safety. Applying the real data of the US power grid, we compare the effects of two different attacks for the network robustness against cascading failures, i.e., removal by either the descending or ascending orders of the loads. Adopting the initial load of a node j to be L_j=[k_j(Σ_mΓjk_m)]^α with k_j and Γ_j being the degree of the node j and the set of its neighboring nodes, respectively, where α is a tunable parameter and governs the strength of the initial load of a node, we investigate the response of the US power grid under two attacks during the cascading propagation. In the case of α<0.7, our investigation by the numerical simulations leads to a counterintuitive finding on the US power grid that the attack on the nodes with the lowest loads is more harmful than the attack on the ones with the highest loads. In addition, the almost same effect of two attacks in the case of α=0.7 may be useful in furthering studies on the control and defense of cascading failures in the US power grid.     

PARAMETER ESTIMATION OF THE NONLINEAR MUSKINGUM MODEL USING HARMONY SEARCH1

ABSTRACT: A newly developed heuristic algorithm, Harmony Search, is applied to the parameter estimation problem of the nonlinear Muskingum model. Harmony Search found better values of parameters in the nonlinear Muskingum model than five other methods including another heuristic method, genetic algorithm, in terms of SSQ (the sum of the square of the deviations between the observed and routed outflows), SAD (the sum of the absolute value of the deviations between the observed and routed outflows), DPO (deviations of peak of routed and actual flows), and DPOT (deviations of peak time of routed and actual outflow). Harmony Search also has the advantage that it does not require the process of assuming the initial values of design parameters. The sensitivity analysis of Harmony Memory Considering Rate showed that relatively large values of Harmony Memory Considering Rate makes the Harmony Search converge to a better solution.     

Hematology and Some Biochemical Parameters of Wild Rodents in Pistachio Gardens of Kerman Province, Southeast Iran

Wild rodents were collected using live snap traps in pistachio gardens of Kerman Province, Southeast Iran from 2007 to 2009, then some physiological parameters of them were measured. The samples were identified as follow: Nesokia indica, Meriones persicus, Meriones lybicus and Tatera indica. Blood samples were obtained from the heart, then the blood parameters (glucose, cholesterol, triglyceride, total protein, HDL, red and white blood cell number) in wild species of rodents and laboratory rat were compared. The results showed that there were no significant differences in serum glucose, triglyceride, HDL and total protein levels among different experimental groups. The concentration of cholesterol in T. indica was more than that in N. indica (P < 0.01). The total numbers of red blood cells also showed significant difference between wild garden rodent species and laboratory rat (P < 0.01), while the numbers of white blood cells showed no significant difference.     

A NEW LOOK AT FLOOD RISK DETERMINATION1

ABSTRACT: The probability distributions of annual peak flows used in flood risk analysis quantify the risk that a design flood will be exceeded. But the parameters of these distributions are themselves to a degree uncertain and this uncertainty increases the risk that the flood protection provided will in fact prove to be inadequate. The increase in flood risk due to parameter uncertainty is small when a fairly long record of data is available and the annual flood peaks are serially independent, which is the standard assumption in flood frequency analysis. But standard tests for serial independence are insensitive to the type of grouping of high and low values in a time series, which is measured by the Hurst coefficient. This grouping increases the parameter uncertainty considerably. A study of 49 annual peak flow series for Canadian rivers shows that many have a high Hurst coefficient. The corresponding increase in flood risk due to parameter uncertainty is shown to be substantial even for rivers with a long record, and therefore should not be neglected. The paper presents a method of rationally combining parameter uncertainty due to serial correlation, and the stochastic variability of peak flows in a single risk assessment. In addition, a relatively simple time series model that is capable of reproducing the observed serial correlation of flood peaks is presented.