湖北省油菜测土配方施肥下N2O减排潜力估算

以油菜种植大省-湖北省为案例地,在分析农田氮肥施用与油菜籽产量的基础上,依据氮肥利用率变化,估算测土配方施肥技术在湖北省全面推广的情况下,带来的N2O减排潜力.结果表明,在湖北省油菜种植中,测土配方施肥技术的推广将带来646.32ktCO2-eq的理论减排.以2012年湖北省油菜测土配方推广情况为基础,进一步全面实施该项技术,将产生173.91ktCO2-eq的减排量,占油菜种植因氮肥使用而产生的N2O排放总量的13.98%.测土配方施肥通过优化营养元素配比,提高油菜氮肥利用效率,是一项控制与减少农业N2O排放、减少氮素在环境中盈余量的有效措施.     

芳纶在阻燃防护服中的应用及检测

本文介绍了间位芳纶和对位芳纶的性能,并对利用其性能制作的阻燃防护服进行了检测。     

电梯电动机运转时间限制器检验新方法的探讨

随着电梯的广泛使用,钢丝绳断丝、断股导致的事故时有发生,电梯电动机运转时间限制器的重要性越来越凸显出来。针对电梯电动机运转时间限制器落后的检验现状,根据实际现场检验经验,通过分析电梯的控制原理,总结了一种新的检验方法,该方法安全性高,实用性强,操作方便。     

Analysis of the toxicity of glyphosate and Faena® using the freshwater invertebrates Daphnia magna and Lecane quadridentata

With the present contribution an evaluation of the toxicity of the pure herbicide glyphosate and its commercial formulation Faena® is reported using the cladoceran Daphnia magna Strauss and the rotifer Lecane quadridentata Ehrenberg. LC₅₀, EC₅₀, NOEC, and LOEC values for each toxicant and for both test organisms are obtained. Regarding acute toxicity, Faena was 11-fold more toxic to L. quadridentata than pure glyphosate and slightly more toxic to D. magna (1.7-fold). Inhibition of esterase activity in L. quadridentata by glyphosate was the most sensitive end-point; the EC₅₀ was 1500-fold smaller than the LC₅₀. The implications of these results and their comparison with established international and national limit values for glyphosate are discussed.     

Exposure and Health Effects of Cadmium

The results of a study of photocatalytic degradation of phenol using aqueous oxygenated TiO₂ (anatase) suspensions in a batch Pyrex photoreactor are reported. The influence on the photodegradation rate of various parameters as pH, phenol and TiO₂ content, oxygen partial pressure, anions present in the dispersions was investigated. A complete oxidation of phenol was observed. Intermediate compounds, catechol and quinone, were detected. It was observed that the photodegradation also proceeded with sunlight radiation. A mechanistic and kinetic model, which accounts for the results obtained, is given. Likely reasons for inactivity of the rutile modification for this reaction are also given.     

多米诺事故情景下的区域环境风险评价

将多米诺效应纳入化工区环境风险评价中,采用扩展概率模型和蒙特卡洛模拟的方法计算多米诺事故的概率,运用大气和水扩散模型模拟污染事故的后果,进而利用地理信息系统分析在多米诺事故情景下的区域环境风险水平.结果表明,研究区域67.5%的风险源能引发二次事故,平均每个初始事故引发9.58次二次事故、17.21次三次事故.二次事故情景和三次事故情景下的区域环境风险值分别是一次事故的6.40倍和12.33倍,多米诺效应明显放大了区域环境风险值,应成为今后风险防范的重点.     

土壤理化性质对污染场地环境风险不确定性的影响

以某化工污染场地中挥发性有机物苯的环境风险评价为例,研究了土壤有机质含量、土壤含水率、土壤容重等理化性质对风险评价结果的影响.在土壤污染物苯浓度不变的前提下,土壤有机质含量、土壤含水率和土壤容重在场地条件下随机取值的变异范围分别为0.31%～2.31%、0.12～0.25和1.25～1.75 g/cm3.10 000次蒙特卡罗模拟结果表明,在95%置信水平下,苯的总致癌风险(概率值)在1.45×10-5～2.74×10-5之间.在该场地条件下,土壤有机质含量是影响苯风险不确定性的最主要因素,其对风险评价结果不确定性的贡献率高达90.2%;土壤含水率和土壤容重的贡献率分别为5.6%和4.2%.因此,在土壤污染健康风险评价过程中,应对理化参数进行敏感性分析,对评价结果影响较大的关键参数取值需慎重.      

Inverse uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic analysis

Identifying source information after river chemical spill occurrences is critical for emergency responses. However, the inverse uncertainty characteristics of this kind of pollution source inversion problem have not yet been clearly elucidated. To fill this gap, stochastic analysis approaches, including a regional sensitivity analysis method, identifiability plot and perturbation methods, were employed to conduct an empirical investigation on generic inverse uncertainty characteristics under a well-accepted uncertainty analysis framework. Case studies based on field tracer experiments and synthetic numerical tracer experiments revealed several new rules. For example, the release load can be most easily inverted, and the source location is responsible for the largest uncertainty among the source parameters. The diffusion and convection processes are more sensitive than the dilution and pollutant attenuation processes to the optimization of objective functions in terms of structural uncertainty. The differences among the different objective functions are smaller for instantaneous release than for continuous release cases. Small monitoring errors affect the inversion results only slightly, which can be ignored in practice. Interestingly, the estimated values of the release location and time negatively deviate from the real values, and the extent is positively correlated with the relative size of the mixing zone to the objective river reach. These new findings improve decision making in emergency responses to sudden water pollution and guide the monitoring network design.

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Sensitivity analysis of North American bird population estimates

The Partners in Flight North American Landbird Conservation Plan provided estimates of population sizes for 448 landbird species using a multiplicative model. Input parameters in this calculation included the area of state × Bird Conservation Region polygons, area-specific mean Breeding Bird Survey counts circa 1995, and adjustment factors for the distance over which species may presumably be correctly counted, the assumed pairing of singing males with non-singing females, and variability in the propensity of birds to sing over the course of the survey day. I assessed the sensitivity of this population calculation to changes in the input parameters. I assessed both local and global sensitivity of the model to changes in the parameters with Monte Carlo one-at-a-time simulations and the Fourier amplitude sensitivity test (FAST). Monte Carlo simulations were an estimate of local model sensitivity whereas FAST estimated global model sensitivity, accommodating the potential shared variance between model parameters. Monte Carlo simulations suggested population estimates were 39% more sensitive to changes in the detection distance adjustment than to the other parameters; the other parameters were nearly equal in their contribution to model sensitivity. Conversely, FAST analysis determined that each of the input variables aside from the pair adjustment provided roughly equal contributions to variability in population estimates. The most efficient means for improving continental population estimates for birds surveyed by the Breeding Bird Survey will be through increased scrutiny of the species-specific distance detection and time-of-day adjustments and improved understanding in the spatial and temporal variability in the mean Breeding Bird Survey count.     

An Integrated Monte Carlo Methodology for the calibration of water quality models

This paper proposes an Integrated Monte Carlo Methodology (IMCM) to solve the parameter estimation problem in water quality models. The methodology is based on Bayesian approach and Markov Chain Monte Carlo techniques and it operates by means of four modules: Markov Chain Monte Carlo (MCMC), Moving Feasible Ranges (MFR), Statistical Analysis of the Joint Posterior Distribution (SAD) and Uncertainty Propagation Analysis (UPA). The main innovation of the new proposal lies in the combination of MCMC and MFR modules which provides the joint posterior distribution of the calibrated parameters following the classical Bayesian approach. While MCMC module, based on Shuffled Complex Evolution Metropolis (SCEM-UA) algorithm, is specially designed to sample complex joint posterior shapes within certain parameter ranges, the MFR readjusts these ranges until the coverage of the feasible parameter space is guaranteed. Once the joint posterior distribution is properly defined, the SAD provides the parameter statistics and the UPA performs an analysis of the uncertainty propagation through the model. The possibilities of the new proposal have been tested on the basis of a simple model featuring different activated sludge batch experiments. IMCM has been implemented in Matlab and it is prepared to be easily connected to any software package.