Effects of Nitrogen Deposition on Bryophyte Species Composition of Calcareous Grasslands

Regular additions of NH₄NO₃ (35–140 kg N ha⁻¹ yr⁻¹) and (NH₄)₂SO₄ (140 kg N ha⁻¹ yr⁻¹) to a calcareous grassland in northern England over a period of 12 years have resulted in a decline in the frequency of the indigenous bryophyte species and the establishment of non-indigenous calcifuge species, with implications for the structure and composition of this calcareous bryophyte community. The lowest NH₄NO₃ additions of 35 kg N ha⁻¹ yr⁻¹ produced significant declines in frequency of Hypnum cupressiforme, Campylium chrysophyllum, and Calliergon cuspidatum. Significant reductions in frequency at higher NH₄NO₃ application rates were recorded for Pseudoscleropodium purum, Ctenidum molluscum, and Dicranum scoparium. The highest NH₄NO₃ and (NH₄)₂SO₄ additions provided conditions conducive for the establishment of two typical calcifuges – Polytrichum spp. and Campylopus introflexus, respectively. Substrate-surface pH measurements showed a dose-related reduction in pH with increasing NH₄NO₃ deposition rates of 1.6 pH units between the control and highest deposition rate, and a further significant fall in pH, of >1 pH unit, between the NH₄NO₃ and (NH₄)₂SO₄ treatments. These results suggest that indigenous bryophyte composition may be at risk from nitrogen deposition rates of 35 kg N ha⁻¹ yr⁻¹ or less. These effects are of particular concern for rare or endangered species of low frequency.     

控制图分析法在煤矿安全管理中的应用

根据实践,介绍控制图分析法在煤矿安全管理中的应用,将控制图法应用于安全风险指标的统计分析可以对风险指标的发展趋势作出科学判断,评价系统安全状态是否有明显好转或恶化,检验安全管理及技术措施是否有效。以样本矿井为例,分别以月平均受伤人数、月平均计划外瓦斯超限次数为风险评价指标进行控制图分析。应用伤亡事故控制图进行安全管理,其主要优点是能够明确伤亡事故管理目标,掌握事故发展规律与趋势,有利于总结经验,吸取教训,在动态中进行安全管理。控制图分析法在煤矿安全管理中有着简便、实用、动态、预测等多种优点,对煤矿企业安全管理具有推广和借鉴意义。     

公路隧道火灾事故调研与对策分析

通过调研国内外近60年来,有代表性的33起公路隧道火灾事故,对公路隧道火灾事故起因、特点及危害进行了详细分析,结合国外公路隧道火灾安全措施以及防火安全评估经验,提出几点降低公路隧道火灾事故风险,减少事故危害的对策与建议。以期为公路隧道规划、设计以及建设运营等工作提供有益的参考。     

高压变频技术在70 t电弧炉除尘系统中的应用

提出运用高压变频技术实现电弧炉除尘风机变频调速的工艺.在70 t ABB电弧炉烟气治理运用中,以温度为调速系统主要控制参数,设计工频和变频两套系统,实现除尘风机的转速按工艺要求调节,其功率因数从0.83提高到0.97,除尘系统节电60%,冶炼工况同时也得到改善.表明该工艺具有广阔的应用前景.     

Illinois redesigns its ambient water quality monitoring network

Illinois has been operating an ambient water quality network of almost 600 stations for several years. In 1977 changes in program emphasis toward intensive monitoring, the need for improved procedures and quality control in monitoring operations, and the desire to create a single data base of all Illinois State monitoring data, resulted in a redesign of the ambient monitoring program.A unique cooperative program between the Illinois Environmental Protection Agency and the US Geological Survey provides for their monitoring a portion of the network. The Survey provides flow data at most network stations as well as extensive manpower training, equipment, data processing, and program quality control. Informal agreements with other agencies have permitted a great reduction in the monitoring effort required by the Illinois Environmental Protection Agency.     

A quantitative succession model for nine montana forest communities

A quantitative succession model was developed both to meet resource management needs in Montana's Lewis and Clark National Forest and to develop a modeling methodology. It builds upon previous concepts and incudes three new features: quantitative prediction of all tree species and seedlings; quantitative predictions of important understory species; and successional pathways determined by fire intensity and scorch height. The method is described and demonstrated for selected Montana habitat (community) types. It is also available in managerial guidelines and has been programmed as a new module in theforplan simulator. Weaknesses of this and other models are discussed. Conclusions relate succession modeling to resource management needs.     

APPLICATION OF ADVANCES IN FLOOD FREQUENCY ANALYSIS1

ABSTRACT: Flood frequency analyses are frequently being made using widely available computer programs. Serious errors can result from blind acceptance of such results. Visual interpretation of observed flood series can be used for evaluation on frequency paper with compatible scales. Such frequency papers are presented in the paper. In ephemeral streams, more infrequent floods may constitute a separate set from the more frequent floods because (a) runoff producing storms cover only a portion of the contributing area, (b) transmission losses in the normally dry streambed may reduce the peak flow, and (c) some runoff may be stored in stock water ponds which therefore leads to partial area runoff. The Cunnane plotting position used in this paper is superior to the more widely used Weibull equation, having a mathematically sound basis for locating observed floods on an assumed probability.     

前车突然切入时驾驶人应激生理特性研究

为研究前车突然切入对驾驶人生理负荷的影响,利用MP150生理监测系统对22名被试进行虚拟驾驶试验。采集记录前车突然切入时被试的生理参数。研究驾驶人心率增长率和心率变异性(HRV)指标与车速、应激距离之间的关系。结果表明:自车速度为100 km/h时,随着前车切入距离从55.6 m减小到27.8 m,被试的平均心率增长率从16.21%增大到23.27%,HRV参数低频(LF)值也呈现下降趋势。前车切入距离一定,随着自车车速从60 km/h增加到120 km/h,被试的平均心率增长率存在显著性差异,平均从13.05%上升到21.85%。差异性检验结果表明,前车切入距离和自车速度发生变化时驾驶人的生理负荷变化趋势一致,但自车速度因素对驾驶人生理负荷的影响程度高于切入距离因素。     

运用正弦扫频实现电动振动台模型的频域辨识

目的研究以电动振动台为典型设备的相关振动试验装置的频域辨识技术。方法通过分析电动振动台数学模型,采用正弦扫频试验方法,进行全频带振动台空台面正弦扫频,并对所获得的时域正弦扫频数据进行频谱分析,进而获得系统的频率数据,再运用复数域上的最小二乘拟合算法,完成振动台模型传递函数的辨识。结果通过某型电动台空台面试验,对一组实测数据进行辨识,辨识出的电动振动台模拟与真实模拟一致。结论通过该方法并合理选取模型结构,能够很好地辨识出振动试验装置的模型。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.