An integrated method for safety pre-warning of complex system

In large-scale and complex industrial systems, unplanned outages and hazardous accidents cause huge economic losses, environmental contamination, and human injuries, due to component degradation, exogenous changes, and operational mistakes. In order to ensure safety and increase operational performance and reliability of complex system, this study proposes an integrated method for safety pre-warning to analyze the current safety state of each component and the whole system indicating hidden hazards and potential consequence, and furthermore predict future degradation trends in the long term.The work presented here describes the rationale and implementation of the integrated method incorporating HAZOP study, degradation process modeling, dynamic Bayesian network construction, condition monitoring, safety assessment and prognosis steps, taking advantage of the priori knowledge of the interactions and dependencies among components and the environment, the relationships between hazard causes and effects, and the use of historical failure data and online real-time data from condition monitoring.The application of the integrated safety pre-warning approach described here to the specific example of the gas turbine compressor system demonstrates how each phase of the presented method contributes to completion of the safety pre-warning system development in a systematic way.     

Simulation of substrate degradation in composting of sewage sludge

To simulate the substrate degradation kinetics of the composting process, this paper develops a mathematical model with a first-order reaction assumption and heat/mass balance equations. A pilot-scale composting test with a mixture of sewage sludge and wheat straw was conducted in an insulated reactor. The BVS (biodegradable volatile solids) degradation process, matrix mass, MC (moisture content), DM (dry matter) and VS (volatile solid) were simulated numerically by the model and experimental data. The numerical simulation offered a method for simulating k (the first-order rate constant) and estimating k₂₀ (the first-order rate constant at 20 °C). After comparison with experimental values, the relative error of the simulation value of the mass of the compost at maturity was 0.22%, MC 2.9%, DM 4.9% and VS 5.2%, which mean that the simulation is a good fit. The k of sewage sludge was simulated, and k₂₀, k_20s (first-order rate coefficient of slow fraction of BVS at 20 °C) of the sewage sludge were estimated as 0.082 and 0.015 d^?1, respectively.     

高台位旱地石灰性紫色土培肥研究

本文研究了高台位旱地石灰性紫色土的肥力退化因子,并针对紫色母岩矿质养分丰富、易风化成土的特点,以一种培肥耕作法-聚土免耕耕作法培肥土壤。结果表明,采用此耕作法的土壤具有防蚀、抗旱、培肥和自调能力,能提高系统生产力。     

河南省自然灾害的地域分界规律

河南省自然灾害的地域空间分异，主要遵循水平地带性规律、非地带性规律与垂直地带性规律。水平地带性主要影响以致控制灾害的不同类型，非地带性与垂直地带性则主要影响各种灾害的成灾强度。它们相互联系与制约，从而形成该省域灾害的三维分异。     

论减灾效益的显现类型与减灾心理

减灾效益的获得离不开民众的参与,而其参与意识又与减灾效益的可见度有关。减灾效益越能迅速、明确地被人们见到或预见到,人们的减灾参与意识越高。在客观现实中,减灾效益的显现时间具有各种类型,而人们主观意识中“见”到的类型却又可能有质的差异。本文划分了减灾效益的显现类型并提出与论述了与其有关的一些问题,分析了其与主观意识之间的复杂关系,以及影响人们的减灾参与心理的作用机制。进而探讨了如何通过这些关系、机制的认识与把握,效益意识引导,对减灾见效时间意识的人为控制等途径提高民众的减灾参与意识与减灾效益。     

陕西延安地区1992—2000年干旱趋势灰色预测

本文存分析延安地区干旱特征的基础上,采用地地区40a的资料,运用灰色理论的预测方法,预测了1992～2000年间干旱发生的季节及强度,预计该时该区的旱情将持续出现,故提出必须立足抗旱,以保农业生产的稳步发展。     

论效应空间与有偿减灾投入心理对策

本文提出了减灾效应空间问题,并分析了其在有偿减灾中的作用机制,以及与其有关的减灾投入心理与费用支付合理化问题。进而探讨了宣传、强制、分割、别类、约束、归并等促进有偿减灾良性发展的部分机理。     

废水生化处理出水吸收SO2过程相平衡关系的确定

应用相平衡理论对吸收液－ＳＯ２体系的相平衡关系进行了系统研究,确定了吸收相平衡的数学模型,并通过试验对数学模型进行了验证,结果表明,数学模型计算值与试验实测值基本吻合。     

从我国“98”南北洪水看山西防洪问题

从我国“９８”洪灾的惨重经济损失中认为,除了气候因素外,生态环境遭到人为破坏是致灾的主要原因。以此为鉴,结合山西实际,分析了山西防洪中存在的问题及根治洪患的举措