有约束应力高温全过程后混凝土轴压力学性能试验研究

采用高温抗压试验炉进行了有约束应力作用下混凝土在经历升温、降温及冷却全过程作用后的轴压力学性能试验研究,主要研究约束应力水平和温度等级对升降温及冷却全过程中的混凝土高温变形特性与高温后混凝土强度、弹性模量和应力-应变关系等性能的影响规律。结果表明:约束应力使混凝土产生明显的残余压缩变形,且对高温后混凝土抗压强度和弹性模量有显著影响;无约束应力高温后混凝土的抗压强度随着温度的升高经历低温衰退、强度恢复、高温衰退3个阶段,n≤0.4时有约束应力混凝土也表现出相同的规律;约束应力可提高高温后混凝土的弹性模量,但其值仍明显低于常温弹性模量;有约束应力高温全过程后混凝土破坏突然,明显变脆。     

小麦淀粉粉尘爆炸特性参数的研究

采用哈特曼管式爆炸测试装置和20L球爆炸测试装置对小麦淀粉粉尘爆炸特性参数进行评估,对粒度小于75μm的样品的爆炸危险性参数进行测试,得出了一定条件下的小麦淀粉对静电火花的敏感程度以及其爆炸的猛烈程度,进而对其爆炸危险性程度进行分级。结果表明,温度在25℃,喷粉压力为0.70MPa,小麦淀粉的最小点火能量在40~80mJ;在点火能量为10 kJ时,最大爆炸压力为0.60MPa,最大爆炸指数为7.87MPa.m/s,其粉尘爆炸危险性为Ⅰ级。     

基于20L球形爆炸装置的甲烷煤尘混合爆炸实验

利用实验室自行设计的20L球形爆炸装置,对煤尘及甲烷煤尘混合物的爆炸特性进行了研究。结果表明:无论有无甲烷,煤尘的最大爆炸压力随煤尘浓度增加呈现先升高后降低的变化趋势,并且均在在煤尘浓度为600g/m3时均达到最大值。同时,甲烷的加入明显提高了煤尘最大爆炸压力值,而且随着甲烷浓度的增加,最大爆炸压力增幅先增加后降低,在甲烷5%时增幅最大。煤尘的爆炸持续时间随煤尘浓度增加呈现先降低后升高的特点,甲烷存在时有同样规律,但是有甲烷时爆炸持续时间明显降低,而且随着甲烷含量的增加,煤尘的爆炸持续时间降低幅度不断增加,在甲烷5%以后趋于稳定。实验结果对生产实践有一定的指导作用。     

集约化蔬菜地土壤磷素累积特征及流失风险

以南京市郊集约化蔬菜长期种植基地为对象,采集蔬菜种植年限分别为3~5、15~20、25~30 a的土壤,测定土壤全磷(TP)、速效磷(Olsen-P)、水溶性磷(CaCl2-P)、生物有效磷(NaOH-P)的含量,并对0—20 cm土层磷素吸附特性进行分析,通过研究土壤磷吸附饱和度(DPS)、最大缓冲容量(MBC)来对土壤磷素流失风险进行评估。结果表明,在0—20 cm土层,除NaOH-P外,其余各形态磷(TP、Olsen-P、CaCl2-P)都随种植年限延长呈增加趋势。不同种植年限土壤TP、Olsen-P、CaCl2-P、NaOH-P主要积累在0—20 cm土层,且随着土层深度的增加土壤磷的累积量逐渐降低。DPS随种植年限延长而升高,种植年限25~30 a的菜地0—5 cm土层DPS超过土壤磷素流失环境敏感指标临界值(25%),其MBC也最低,表明随着蔬菜种植年限的延长土壤磷素流失风险加剧,且流失风险主要体现在0—5 cm土层。     

Statistical analysis of bioassays,based on hazard modelling

A stochastic model is proposed to describe time-dependent lethal effects of toxic compounds. It is based on simple mechanistic assumptions and provides a measure for the toxicity of a chemical compound, the so-called killing rate. The killing rate seems a promising alternative for the LC50. The model also provides the no-effect level and the LC50, both as a function of exposure time. The model is applied to real data and to simulated data.     

沱江上游（绵远河,石亭江）环境水文条件分析

本文对无实测水文资料的平原水网区使用水文比拟法进行环境水文条件分析并提出有效的处理方法及合理的成果。     

An Innovative Index for Evaluating Water Quality in Streams

A water quality index expressed as a single number is developed to describe overall water quality conditions using multiple water quality variables. The index consists of water quality variables: dissolved oxygen, specific conductivity, turbidity, total phosphorus, and fecal coliform. The objectives of this study were to describe the preexisting indices and to define a new water quality index that has advantages over these indices. The new index was applied to the Big Lost River Watershed in Idaho, and the results gave a quantitative picture for the water quality situation. If the new water quality index for the impaired water is less than a certain number, remediation—likely in the form of total maximum daily loads or changing the management practices—may be needed. The index can be used to assess water quality for general beneficial uses. Nevertheless, the index cannot be used in making regulatory decisions, indicate water quality for specific beneficial uses, or indicate contamination from trace metals, organic contaminants, and toxic substances.     

Approaches to Evaluate Water Quality Model Parameter Uncertainty for Adaptive TMDL Implementation1

Abstract: The National Research Council recommended Adaptive Total Maximum Daily Load implementation with the recognition that the predictive uncertainty of water quality models can be high. Quantifying predictive uncertainty provides important information for model selection and decision‐making. We review five methods that have been used with water quality models to evaluate model parameter and predictive uncertainty. These methods (1) Regionalized Sensitivity Analysis, (2) Generalized Likelihood Uncertainty Estimation, (3) Bayesian Monte Carlo, (4) Importance Sampling, and (5) Markov Chain Monte Carlo (MCMC) are based on similar concepts; their development over time was facilitated by the increasing availability of fast, cheap computers. Using a Streeter‐Phelps model as an example we show that, applied consistently, these methods give compatible results. Thus, all of these methods can, in principle, provide useful sets of parameter values that can be used to evaluate model predictive uncertainty, though, in practice, some are quickly limited by the “curse of dimensionality” or may have difficulty evaluating irregularly shaped parameter spaces. Adaptive implementation invites model updating, as new data become available reflecting water‐body responses to pollutant load reductions, and a Bayesian approach using MCMC is particularly handy for that task.     

SIMULTANEOUS EQUATION SYSTEMS: A CONSISTENT ESTIMATOR FOR UNKNOWN PARAMETERS IN CONFINED AQUIFERS1

ABSTRACT: This paper presents criteria for establishing the identification status of the inverse problem for confined aquifer flow. Three linear estimation methods (ordinary least squares, two-stage least squares, and three-stage least squares) and one nonlinear method (maximum likelihood) are used to estimate the matrices of parameters embedded in the partial differential equation characterizing confined flow. Computational experience indicates several advantages of maximum likelihood over the linear methods.     

PARAMETER ESTIMATION FOR TPLN DISTRIBUTION FOR FLOOD FREQUENCY ANALYSIS1

ABSTRACT: The principle of maximum entropy (POME) was used to derive an alternative method for parameter estimation for the three parameter lognormal (TPLN) distribution. Six sets of annual peak discharge data were used to evaluate this method and compare it with the methods of moments and maximum likelihood estimation.