塔式起重机安全评判专家系统的研制

塔式起重机作为建筑施工的主要设备,在建筑等行业发挥着极其重要的作用,因而其安全问题受到各国有关部门的高度重视,但塔式起重机的事故率近年来仍未见下降,其安全问题仍然是建筑施工中的忧患之一。为此,笔者在建造了塔式起重机安全的依赖关系图的基础上,采用基于现代设计方法学的专家系统构造技术,使用ＶＩＳＵＡＬＣ＋ ＋ 开发了塔式起重机安全评判专家系统ＴＱＥＳ。该系统经全部测试通过,可对一般的塔式起重机进行安全评判     

环境评价污染气象观测与分析的几个问题

就实际环评工作中污染气象观测与分析中资料的选取与分析,地面常规气象资料的统计与分析,大气边界层观测与分析等几个问题提出了看法和建议。     

模块化火灾综合评估系统

火灾的综合评估,由于火灾过程的复杂性和人类干预的介入而变得比较困难,本文充分注意到火灾发展的不同阶段和不同过程,以及人类干预的不同侧重点,将火灾综合评估系统分解成五个既相互独立,又相互关系的评估模块,并对这些模块的结构进行了初步的探讨,火灾综合评估系统的模块化设计,有利于不同评估方法的独立发展和火灾综合评估工作的灵活操作。     

广东沿海地区海平面上升影响综合评估

从系统的角度出发,建立了海平面灾害综合评估因子指标体系,引入了抗灾能力指数的概念,提出了一个综合评估模型,并以广东省沿海地区为例进行了海平面上升影响综合评估,结果表明,由于模型中考虑了抗灾能力指数,变被支评估为主动评估,使海岸灾害风险等级的评估结果更符合实际,评估结构可用于指导宏观抗灾,救灾,减灾等活动,该模型已用于广东海平面的地理信息系统（光盘）。     

新亚欧大陆桥新疆段易损性分析

从灾害频数、断道密度分析着手,选取与易损性评价指标;根据新亚欧大陆桥新疆段近４０年的灾害资料,在详尽分析各不同区段灾害密度,断道时间和断道次数密度的基础上,对各区一路的脆弱性和易损性强度进行评价,提出了新亚欧大陆桥新疆段的最易受损区段,并与全国平均水平进行了对比。     

架空管道震害预测实用方法的研究

根据震害调查分析和试验研究结果,建立了由环境因素和管道结构参数组成的,对架空管道震害预测进行二级多因素模糊综合评判的方法。文中给出了计算、评价构成二级评判因素地震烈度、场地类型、工作状态和结构种类各档次正态模糊数范数ａｋ的参数和对实际情况如何确定的方法。本文为面广量大的已建架空管道的震害预测工作提供了一套科学性强,方便实用的计算方法。     

Constructing and justifying risk and accountability after extreme events: public administration and stakeholders’ responses to a wildfire disaster

ABSTRACT

The impacts of extreme weather events, causing severe storms and wildfires, cascade across administrative borders within a country, challenging the steering capacity of governance networks at different political scales. This paper examines how accountability and risk were constructed and negotiated in the aftermath of Sweden’s largest wildfire. It draws on results from an interview study with executives of organizations and landowners involved, and an analysis of government reports about the wildfire’s cause and consequences. Although the fire was human-caused, public administrative bodies paid considerable attention to the local emergency services and their poor handling of the wildfire, caused by lack of knowledge of forest fire behavior. The study confirms many of the challenges associated with governance networks. It finds that issues about who to hold accountable, in what forum and for what issue are not fully addressed, being overwhelmed by demands for better knowledge of forest fire prevention and improved coordination and collaboration. To conclude, the paper calls for a better-informed public administration, forest sector and interrelated networks that take responsibility for their actions or lack thereof.     

Risk-based optimal operation of hybrid power system using multiobjective optimization

ABSTRACT

This paper solves an optimal generation scheduling problem of hybrid power system considering the risk factor due to uncertain/intermittent nature of renewable energy resources (RERs) and electric vehicles (EVs). The hybrid power system considered in this work includes thermal generating units, RERs such as wind and solar photovoltaic (PV) units, battery energy storage systems (BESSs) and electric vehicles (EVs). Here, the two objective functions are formulated, i.e., minimization of operating cost and system risk, to develop an optimum scheduling strategy of hybrid power system. The objective of proposed approach is to minimize operating cost and system risk levels simultaneously. The operating cost minimization objective consists of costs due to thermal generators, wind farms, solar PV units, EVs, BESSs, and adjustment cost due to uncertainties in RERs and EVs. In this work, Conditional Value at Risk (CVaR) is considered as the risk index, and it is used to quantify the risk due to intermittent nature of RERs and EVs. The main contribution of this paper lies in its ability to determine the optimal generation schedules by optimizing operating cost and risk. These two objectives are solved by using a multiobjective-based nondominated sorting genetic algorithm-II (NSGA-II) algorithm, and it is used to develop a Pareto optimal front. A best-compromised solution is obtained by using fuzzy min-max approach. The proposed approach has been implemented on modified IEEE 30 bus and practical Indian 75 bus test systems. The obtained results show the best-compromised solution between operating cost and system risk level, and the suitability of CVaR for the management of risk associated with the uncertainties due to RERs and EVs.     

A MODELING APPROACH FOR OPTIMUM SEDIMENT DETENTION POND DESIGN1

ABSTRACT: A design procedure to determine optimum size for a sediment detention pond is presented. The procedure is based on simulating the sediment removal efficiency of the pond in conjunction with temporal variations in rainfall and potential land use and/or management options. The simulation procedure is based on a combined probabilistic-deterministic modeling approach. The probabilistic model generates daily rainfall with hourly increments for a selected site. The deterministic model simulates sediment yield and concentration for drainage area (pond inflow) and sediment trapping efficiency of the pond. The sediment yield and concentration in pond effluent is estimated from the difference between sediment inflow to the pond and sediment trapped by the pond. As an example, the procedure is applied to determine optimum design for a sediment detention pond in a surface mined area using several pond design options and alternative mining operation/land reclamation strategies.