灾难事件后继风险决策

对小概率/高风险的灾难事件的后继风险决策进行探讨,着重在决策的认知神经经济模型框架下,讨论灾难事件后继风险决策的影响因素。灾难事件后人们的风险觉知、信念和假定、经验等认知因素以及灾后情绪因素对于决策分别有不同的影响;人们灾后决策的特点为决策更多直觉化而较少运用理性分析;灾难后继决策有随时间变化的趋势,灾难事件后人们为寻求安全感而出现"损失偏差"(loss bias),该偏差在"获得"和"损失"两种条件下的影响是不同的。灾后风险决策的内在机制或可用思维和决策的双加工系统(dual-process)模型来解释。最后展望了灾难事件后继决策进一步的研究方向。     

基于社会科学统计程序(SPSS)回归性分析的尾矿库事故预测模型

基于社会科学统计程序(SPSS)软件的分析功能,对调查研究中获取的尾矿库案例进行数据提炼和分类编码,找出相关因子并进行回归性分析。最终目的是找出尾矿库各个因素的内在联系,建立简单的尾矿库事故模型,从而可以初步预测尾矿库事故发生的可能性。该预测模型为尾矿库事故的研究提出了新方法,对于防灾减灾以及保护人民生命财产安全起到了积极作用。     

Differential Effects of Legume Species on the Recovery of Soil Microbial Communities, and Carbon and Nitrogen Contents, in Abandoned Fields of the Loess Plateau, China

Plant–soil interactions are known to influence a wide range of ecosystem-level functions. Moreover, the recovery of these functions is of importance for the successful restoration of soils that have been degraded through intensive and/or inappropriate land use. Here, we assessed the effect of planting treatments commonly used to accelerate rates of grassland restoration, namely introduction of different legume species Medicago sativa, Astragalus adsurgens, Melilotus suaveolens, on the recovery of soil microbial communities and carbon and nitrogen contents in abandoned fields of the Loess Plateau, China. The results showed effects were species-specific, and either positive, neutral or negative depending on the measure and time-scale. All legumes increased basal respiration and metabolic quotient and had a positive effect on activity and functional diversity of the soil microbial community, measured using Biolog EcoPlate. However, soil under Astragalus adsurgens had the highest activity and functional diversity relative to the other treatments. Soil carbon and nitrogen content and microbial biomass were effectively restored in 3–5?years by introducing Medicago sativa and Astragalus adsurgens into early abandoned fields. Soil carbon and nitrogen content were retarded in 3–5?years and microbial biomass was retarded in the fifth year by introducing Melilotus suaveolens. Overall, the restoration practices of planting legumes can significantly affect soil carbon and nitrogen contents, and the biomass, activity, and functional diversity of soil microbial community. Therefore, we propose certain legume species could be used to accelerate ecological restoration of degraded soils, hence assist in the protection and preservation of the environment.     

伊犁河伊宁市段水质污染特征分析

在对伊犁河伊宁市段历年水质状况进行综合评价的基础上，探讨了城市河段水质的变化规律、污染特征和成因。     

汉江上游郧县曲远河河口段全新世古洪水水文状态研究

对汉江上游河谷郧县曲远河河口剖面进行了沉积学、粒度、磁化率和烧失量的研究。结果表明：夹在古土壤中的灰白色沉积层是典型的古洪水滞流沉积物，记录了一次特大洪水事件，用地层对比法和OSL方法确定其发生时间为4 950~5 450 a B.P.。用古洪水SWD尖灭点法确定古洪水行洪水位高程为169 m，采用比降法恢复其洪峰流量为60 577 m3/s。根据2011年汉江上游洪水洪痕，用相同的方法对洪峰流量进行了反演，误差为-411％，说明用比降法恢复的古洪水洪峰流量是可靠的     

Remediation of soil contaminated with pyrene using ground nanoscale zero-valent iron

The sites contaminated with recalcitrant polycyclic aromatic hydrocarbons (PAHs) are serious environmental problems ubiquitously. Some PAHs have proven to be carcinogenic and hazardous. Therefore, the innovative PAH in situ remediation technologies have to be developed instantaneously. Recently, the nanoscale zero-valent iron (ZVI) particles have been successfully applied for dechlorination of organic pollutants in water, yet little research has investigated for the soil remediation so far. The objective in this work was to take advantage of nanoscale ZVI particles to remove PAHs in soil. The experimental factors such as reaction time, particle diameter and iron dosage and surface area were considered and optimized. From the results, both microscale and nanoscale ZVI were capable to remove the target compound. The higher removal efficiencies of nanoscale ZVI particles were obtained because the specific surface areas were about several dozens larger than that of commercially microscale ZVI particles. The optimal parameters were observed as 0.2 g iron/2 mL water in 60 min and 150 rpm by nanoscale ZVI. Additionally, the results proved that nanoscale ZVI particles are a promising technology for soil remediation and are encouraged in the near future environmental applications. Additionally, the empirical equation developed for pyrene removal efficiency provided the good explanation of reaction behavior. Ultimately, the calculated values by this equation were in a good agreement with the experimental data.     

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。     

Determination of Nitrobenzene in Wastewater Using a Hanging Mercury Drop Electrode

The determination of trace amount nitrobenzene in wastewater on a hanging mercury drop electrode was studied. The determination conditions of pH, supporting electrolyte, accumulation potential, accumulation time, and voltammetric response were optimized. The sharp peak of the nitrobenzene was appeared at 0.05 V. The peak electric current was proportional to the concentration of nitrobenzene in the range of 1.47 × 10⁻⁵ ∼ 1.0 × 10⁻³ mol/l with relative standard deviations of 3.99 ∼ 8.94%. The detection limit of the nitrobenzene in water was 5 × 10⁻⁶ mol/l. The proposed method offered low limit of determination, easy operation, the use of simple instrumentation, high sensitivity and good reproducibility. It was applied to the determination of nitrobenzene in wastewater with an average recovery of 94.0% ∼ 105%. The proposed method provided fast, sensitive and sometimes real time detection of nitrobenzene.     

污泥减量化与资源化研究进展

随着污水处理量增加,污泥的产生量也日益巨大.如何使污泥无害化、减量化和资源化已越来越受人们的关注.针对目前传统污泥处理与处置方法存在的问题,重点介绍了近年来污泥减量化和资源化的处理技术,并分析了新技术研究情况和应用前景,为污泥合理处理与处置提供参考.     

水电厂设备设施风险的动态分级研究

为保障水电厂安全运行,根据水电厂设备设施构成要素,系统分析其风险,建立涵盖水轮机及其辅助设备、发电机及其辅助设备、计算机监控系统及自动装置、电气一次设备、电气二次设备、水工建筑物及金属结构、机具与防护设施等因素在内的评价指标体系。采用欧氏距离定义样本差异,标准化处理属性特征值,通过聚类迭代,开发水电厂设备设施风险的动态分级方法。研究结果表明:水电厂设备设施故障风险在每年的第2,3季度明显大于第1,4季度,并且随着时间推移,各季度设备设施故障风险同比有增加的趋势,风险分级结果与设备设施故障的变化趋势基本吻合。