粮食蔬菜与土壤和大气中苯并（a）芘含量的相关性研究

对山西省运城市盐湖区不同区域内小麦、西红柿、白菜和土壤中B（a）P含量的空间一时间分布及大气、土壤与粮食、蔬菜中B（a）P含量关系进行了调查研究,结果表明,粮食和蔬菜中的B（a）P主要来自大气污染的“贡献”,土壤中的B（a）P的含量也直接影响粮食和蔬菜中B（a）P的含量。当小麦子实中B（a）P的含量达到一定水平后,并不随土壤中B（a）P含量的增加而增加。     

UV-B辐射增强对壶状臂尾轮虫种群增殖的影响

运用群体累计培养的方法研究了UV-B辐射增强对壶状臂尾轮虫(Brachionus urceus)种群增殖的影响.结果表明:UV-B辐射增强对壶状臂尾轮虫的种群数量、雌体抱卵率和种群增殖率都有显著影响(P<0.05).实验表明,在本实验辐射强度(20μW/cm2)和剂量范围内(0.24、0.48、0.72、0.96和1.20kJ/m2),壶状臂尾轮虫的种群数量和种群增殖率均以对照组最高,各UV-B辐射处理组则随UV-B辐射剂量的增大而呈一致性减小,说明该种群的种群数量和种群增殖率随UV-B辐射的增强显示一致性的影响,两者都可以作为大气UV-B辐射强弱的生物指标.     

臭氧及催化臭氧化降解2,4-滴丙酸动力学研究

对臭氧及催化臭氧氧化降解2,4-滴丙酸(DCPP)的效率进行了研究,并利用竞争动力学法算得了DCPP与臭氧及羟基自由基的反应速率常数,参比有机物为硝基苯(NB).结果表明,DCPP与臭氧的反应速率常数K-DCPP为(0.733±0.163)L·mol-1·s-1,与羟基自由基的kOH-DCPP为2.367×109L·mol-1·s-1.在单独臭氧和Mn(Ⅱ)催化臭氧化降解DCPP过程中,基于上述结果计算所得的速率常数与实际所测的表观反应速率常数具有较好的吻合度.以上结果对臭氧化处理含DCPP废水具有很好的理论指导意义.     

铜锈环棱螺对镉污染沉积物慢性胁迫的生物标志物响应

沉积物毒性测试是评价水生态系统中沉积物污染生态风险的重要手段.建立合适的毒性测试生物是进行沉积物毒性测试的基本前提.铜锈环棱螺(Bellamya aeruginosa)在我国淡水水体中分布广泛,具有重要的生态价值.本研究将实验室培养的铜锈环棱螺暴露于不同含量的镉加标沉积物中28d,以评价该物种在镉污染沉积物慢性胁迫下生物标志物响应的敏感性.结果表明,除了谷胱甘肽(GSH)相对不敏感外,壳长增长率、肝胰脏超氧化物歧化酶(SOD)和过氧化氢酶(CAT)、以及肝胰脏和肾脏中的金属硫蛋白(MT)均表现出相对较高的敏感性,可用作重金属污染沉积物慢性胁迫的有效生物标志物.尤其是肝胰脏SOD和CAT可以用作指示低水平镉污染沉积物长期污染胁迫下的敏感生物标志物.此外,该物种的实验室培养和毒性测试操作容易进行,可以考虑将铜锈环棱螺作为我国淡水沉积物毒性评价的候选物种.     

腐蚀损伤对LY12CZ铝合金疲劳寿命的影响研究

对LY12CZ铝合金在EXCO溶液中进行了不同时间的加速腐蚀。通过扫描电镜研究不同腐蚀时间后LY12CZ铝合金的腐蚀损伤,腐蚀损伤的严重程度用腐蚀面积率和腐蚀深度描述。通过对比性疲劳试验获得了腐蚀损伤对LY12CZ铝合金疲劳寿命的影响,为飞机日历寿命评定和飞机结构腐蚀的研究提供了试验依据。     

The study of burning behaviors and quantitative risk assessment for 0# diesel oil pool fires

The liquid fuel safety issues on fuel storage, transportation and processing have gained most attention because of the high fire risk. In this paper, some 0# diesel pool fire experiments with different diameters (0.2–1 m) were conducted with initial fuel thicknesses of 2 cm and 4 cm, respectively, to obtain liquid fuel combustion characteristics. Some key parameters including mass burning rate, flame height and the flame radiative heat flux, associated with fire risk, were investigated and determined. Subsequently, a detail quantitative risk assessment framework for 0# diesel pool fire is proposed based on the 0# diesel burning characteristics. In the framework, the probability of personal dead and the facility failure are calculated by the vulnerability models, respectively. In the end, 10 special tank fire scenarios were selected to show the whole risk calculation process. The tank diameter and the distance to pool fires were paid more attention in the cases. The safety distances in the cases are provided for the persons and nearby facilities, respectively. The paper enriches the basic experimental data and the provided framework is useful to the management of 0# diesel tank areas.     

Use of artificial roughness for performance enhancement of solar air heaters—a review

The performance characteristics of a solar air heater can effectively be improved by providing artificial roughness in the form of protrusions and dimples of various shapes, sizes, and orientations on the underside of heated surface. An extensive literature review on artificial roughness elements has been carried and the correlations developed for heat transfer and friction factor for roughened solar air collector have been discussed and presented in this paper. The performance parameter has also been computed and compared with various kinds and shapes of roughness geometries using correlations developed by various investigators. The optimum values of the roughness parameters obtained by several investigators have also been discussed.     

温度对多孔射气介质氡析出影响试验研究

为了研究围岩中温度对氡析出率的影响,选取某铀矿铀尾矿矿砂试样,根据相似准则设计并制作了测量多孔射气介质氡析出率的室内试验装置。采用RAD-7氡测量仪,运用等时间间隔取样方法测量氡浓度。采用对照试验的方法研究了温度对多孔射气介质氡析出率的影响规律。试验结果表明,在自然压力下,在温度为20℃到60℃范围内,随着温度的升高,多孔介质氡析出率逐渐增大,并且氡析出率与温度符合线性函数关系。     

三元高吸油树脂的制备及其吸油性能

采用本体聚合法,以丙烯酸丁酯(BA)、苯乙烯(St)和甲基丙烯酸十八酯(SMA)为单体,反应型低聚硅氧烷(OSS)为交联剂,偶氮二异丁腈(AIBN)为引发剂制备了三元高吸油树脂,优化了制备条件,考察了其对不同有机溶剂的吸油性能,并对其进行了表征。实验结果表明:树脂制备的优化条件为BA,St,SMA,OSS,AIBN的质量分别占单体总质量的39.60%,39.60%,20.80%,0.21%,1.50%,于55℃下反应24 h;在该优化条件下所制备的树脂对氯仿的吸油率可达80.2 g/g;树脂对氯仿和二氯甲烷的吸油率远高于其他有机溶剂。表征结果显示,树脂形成了一定的网络结构,具有较好的耐热性、耐寒性和热稳定性。     

Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey

Objective: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fault rates related to procession of accidents which just represents the type of collision (side impact, head to head, rear end, etc.) in No. 2918 Turkish Highway Traffic Act (THTA 1983). The aim of this study is to introduce a scientific and systematic approach for determination of fault rates in most frequent property damage–only (PDO) traffic accidents in Turkey.

Methods: In this study, data (police reports, skid marks, deformation, crush depth, etc.) collected from the most frequent and controversial accident types (4 sample vehicle–vehicle scenarios) that consist of PDO were inserted into a reconstruction software called vCrash. Sample real-world scenarios were simulated on the software to generate different vehicle deformations that also correspond to energy-equivalent speed data just before the crash. These values were used to train a multilayer feedforward artificial neural network (MFANN), function fitting neural network (FITNET, a specialized version of MFANN), and generalized regression neural network (GRNN) models within 10-fold cross-validation to predict fault rates without using software. The performance of the artificial neural network (ANN) prediction models was evaluated using mean square error (MSE) and multiple correlation coefficient (R).

Results: It was shown that the MFANN model performed better for predicting fault rates (i.e., lower MSE and higher R) than FITNET and GRNN models for accident scenarios 1, 2, and 3, whereas FITNET performed the best for scenario 4. The FITNET model showed the second best results for prediction for the first 3 scenarios. Because there is no training phase in GRNN, the GRNN model produced results much faster than MFANN and FITNET models. However, the GRNN model had the worst prediction results. The R values for prediction of fault rates were close to 1 for all folds and scenarios.

Conclusions: This study focuses on exhibiting new aspects and scientific approaches for determining fault rates of involvement in most frequent PDO accidents occurring in Turkey by discussing some deficiencies in THTA and without regard to initiative and/or experience of experts. This study yields judicious decisions to be made especially on forensic investigations and events involving insurance companies. Referring to this approach, injury/fatal and/or pedestrian-related accidents may be analyzed as future work by developing new scientific models.