矿井重大灾害危险性评价的改进灰色统计法

用灰色统计理论［１］研究了矿井四大灾害即冒顶、水灾、火灾和瓦斯爆炸的危险性预评价问题，提出了一种新的评价方法──灰色统计综合法。同时，从应用的角度出发对灰色统计的算法作了改进，改进后的算法便于记忆和应用。     

用灰色模型预测我国铁路水害发展趋势

根据近１５ａ来我国铁路水害年断道时间和断道次数的数据特点，将不同程度水害年分为三个等级。在此基础上，建立了铁路水害的灰色预测模型。并用此模型预测了近期铁路水害大小和远期的发展趋势。这对于我国铁路水害防治的宏观决策具有指导意义。     

自然灾害不同灾情的比较方法探讨

用计算自然灾害不同灾情的灰色关联度的方法，来对不同灾情进行比较分析。该方法不仅能够比较同一灾级中不同的灾情，也能够对不同灾级的灾情差异程度作比较分析，因而它与现有的不同灾情的比较方法相比，更科学合理。     

基坑围护结构及周围环境变形的预测

传统的基坑支护结构设计具有相当的模糊性和不确定性 ,可能危及基坑和周围环境的安全。笔者利用深基坑支护体系的监测数据 ,采用灰色系统理论建立了基坑工程变形的GM(1 ,1 )预测模型 ,其模型的两个参数可识别基坑变形发展势态 ,并由此讨论了模型的适用范围。最后 ,运用该模型预测分析实际基坑工程支护结构变形 ,表明其预测模型可用于基坑动态设计与信息化施工     

基于灰色系统理论的煤与瓦斯突出预测

为了对煤与瓦斯突出事故进行有效的预防与控制 ,笔者应用灰色系统理论中的灰色聚类评估方法 ,对矿井的煤与瓦斯突出进行了预测。经实例证明 ,与常用的预测方法相比 ,灰色聚类预测方法具有能动态预测、预测准确等优点。该方法将影响突出的多个因素综合系统的来考虑 ,跳出了常规预测方法只依靠单一指标进行预测的圈子 ,提高了预测的准确性。研究结果表明 ,该方法能准确地反映矿井煤与瓦斯突出规律 ,是一种新的煤与瓦斯突出预测的方法     

Sustainable pattern analysis of a publicly owned Material Recovery Facility in a fast-growing urban setting under uncertainty

Sustainable development goals are achievable through the installation of Material Recovery Facilities (MRFs) in certain solid waste management systems, especially those in rapidly expanding multi-district urban areas. MRFs are a cost-effective alternative when curbside recycling does not demonstrate long-term success. Previous capacity planning uses mixed integer programming optimization for the urban center of the city of San Antonio, Texas to establish that a publicly owned material recovery facility is preferable to a privatized facility. As a companion study, this analysis demonstrates that a MRF alleviates economic, political, and social pressures facing solid waste management under uncertainty. It explores the impact of uncertainty in decision alternatives in an urban environmental system. From this unique angle, waste generation, incidence of recyclables in the waste stream, routing distances, recycling participation, and other planning components are taken as intervals to expand upon previous deterministic integer-programming models. The information incorporated into the optimization objectives includes economic impacts for recycling income and cost components in waste management. The constraint set consists of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening restrictions. Due to the fragmented data set, a grey integer programming modeling approach quantifies the consequences of inexact information as it propagates through the final solutions in the optimization process. The grey algorithm screens optimal shipping patterns and an ideal MRF location and capacity. Two case settings compare MRF selection policies where optimal solutions exemplify the value of grey programming in the context of integrated solid waste management.     

城市光污染对驾驶安全性影响评价研究

在分析城市光污染对驾驶安全性影响评价特点的基础上,结合相关评价指标体系,引入李克特量表法构建安全性评价量表,并基于物元理论对城市光污染对驾驶安全性影响进行评价。选择了成都市4条道路进行实例分析,得出了较为准确的城市光污染对驾驶安全性影响等级评价结果。     

A measurement of community disaster resilience in Korea

Building a community that is resilient to disasters has become one of the main goals of disaster management. Communities that are more disaster resilient often experience less impact from the disaster and reduced recovery periods afterwards. This study develops a methodology for constructing a set of indicators measuring Community Disaster Resilience Index (CDRI) in terms of human, social, economic, environmental, and institutional factors. In this study, the degree of community resilience to natural disasters was measured for 229 local municipalities in Korea, followed by an examination of the relationship between the aggregated CDRI and disaster losses, using an ordinary least squares (OLS) regression method and a geographically weighted regression (GWR) method. Identifying the extent of community resilience to natural disasters would provide emergency managers and decision-makers with strategic directions for improving local communities' resilience to natural disasters while reducing the negative impacts of disasters.     

Location selection of emergency supplies repositories for emergency logistics management: A variable weighted algorithm

With the development of the city, the number of establishments that are proposed or under construction is increasing year by year, and if they are industries that handle flammable, explosive, toxic, harmful, and dangerous substances, the public safety will face great threats, which will bring great challenges to emergency rescue work. Therefore, providing reasonable solutions to the problem of location selection of emergency supplies repositories are necessary for improving the emergency response efficiency in chemical industrial parks. A mathematical model for location selection of emergency supplies repositories in emergency logistics management are presented considering more actual factors. The optimization objectives of the model are to minimize total transport length and cost. And then a Variable Weighted Algorithm is designed to solve the model, where an auxiliary function was constructed with different methods of building weighting factors based on the theory and method of solving multi-objective optimization problems in operational research. Simulation results show the effectiveness and feasibility of the models and algorithms presented in this paper.     

火灾发生率空间分异及影响因素研究

为了探究我国火灾空间聚集特征与影响因素的空间异质性,采用全局莫兰指数、局部莫兰指数、逐步回归模型、地理加权回归模型、地理探测器方法对我国地级市单元进行研究。研究结果表明:我国火灾发生率具有显著的聚集性;我国火灾发生率较低的“冷点”区域有1个,火灾发生率较高的“热点”区域有4个;人均GDP、城镇居民人均可支配收入、人口密度、年平均气温4 个因素的影响效应具有空间异质性。人均GDP与火灾发生率为正相关,另外3影响因素对火灾发生率的作用表现出正负2种相关关系;2因素交互作用要比单因素作用于火灾发生率时影响力更显著,各影响因素的交互作用类型有非线性增强型和双因子增强型2种。