苏州河干流水质模型的开发研究

对《苏州河水质模型的开发》课题完成的大部分内容进行了介绍，包括水质模型的选择及其原理、模型研究的内容与开发方法、干流水质模型的率定与验证，并据此给出了关于苏州河水环境特性的一些参数值，计算的基准时间为1999年夏季苏州河第3次调水试验时期。需要指出的是，苏州河正处于动态的综合整治过程中，模型中有关参数也会随其相应改变。     

城市生活垃圾场处理技术模糊综合评价

通过对一个待建的城市生活垃圾场处理技术的综合分析，建立一个相对完整的指标体系，然后用模糊数学的方法，对指标体系进行量化、归一化，得到一个通用的评价模型，并运用此模型对该垃圾的垃圾处理方式进行评价，最后提出卫生填埋是当前较为合理的处理方式。     

长江,嘉陵江重庆城区段二维水质对流扩散数学模型

对二水质对流扩散数学模型的有限差分解作了较详细的叙述，同时对距离步长，时间步长计算，网络内水深，流速，横向扩散系数的求取也作了简要介绍。     

避雷针保护范围验算数学模型的确定

主要针对现有国家标准中避雷针保护范围确定的问题 ,即多是给予形状上的描述 ,而在实际设计或验算过程中通常计算量很大且重复工作多 ,笔者为应对上述的问题 ,提出了新的思路和新方法 ,建立了避雷针保护范围计算的数学模型 ,且编制了相应软件。     

煤矿人为事故发生可能性预测数学模型研究

研究发现，煤矿工人的冒险行为主要可以由生产条件、个人表现、工作状况及用工方式等影响因素预测，煤矿人为事故的发生可能性主要由煤矿工人的冒险行为表现预测。据此，便可建立预测煤矿人为事故发生可能性的数学模型     

事故树定量分析与安全指标的数学模型的建立

阐述了在该课题研究过程中，提出的一些新概念、新定义和新方法     

对SARS疫情预测与控制的数学模型研究——一种基于一般流传病模型的改进方法

笔者从一个简单的传染病数学模型着手 ,在考虑了SARS病毒的规律和具体控制方法的影响因素后 ,对一般传染病疫情的确定型预测模型进行改进 ,并引入 ρ、α及 β等随机系数 ,从疫情控制前、控制后、控后改进来建立对疫情预测和控制的数学模型 ,从而更加精确地刻画出SARS的发展和传播规律、人们的控制方法与其控制效果之间的关系 ,给出了模型的算法 ,并对其内涵及与疫情控制的关系给以评述。最后 ,用某地区实际数据验证了控后改进型数学模型与疫情发展规律符合 ,为定量研究这类传染病提供了简明实用的定量分析方法 ,具有一定的现实意义。     

Hierarchical pre-positioning of emergency resources for a chemical industrial parks concentrated area

Accidents in chemical industrial parks always cause fateful damage which can be reduced greatly by providing emergency resources sufficiently and timely. One effective way to enhance the emergency response capacity and agility is by pre-positioning of emergency resources for the potential accidents. The Yangtze River Delta of China is a large region where a large number of chemical industrial parks are concentrated. According to the distributing characteristics of demand points in this region, a mathematical model of hierarchical pre-positioning of emergency resources is proposed to ensure that accidents in all chemical industrial parks in this region can be responded timely and effectively. Considering accident domino effect and minimizing the total cost, the model gives optimal decisions of pre-positioning emergency resources, including the location and inventory of depots. The innovative hierarchical pre-positioning method greatly reduces the total cost in the premise of sufficient preparation for supplying emergency resources. Finally, in a visual graph of the Yangtze River Delta, the model is applied and the result shows its applicability.     

Oil spill cleanup cost estimation—Developing a mathematical model for marine environment

The field of oil spill cost modelling is not as well explored as desirable. Generally speaking, the existing models have either low accuracy, in that their predictions are far from the real cost, or low applicability, in that they are only valid under very specific conditions; such as in one particular country. This work strives to construct a model that is functional in a global scope and still possess a high level of accuracy. The resulting attempt is in many ways superior to the publicly available competitors, not only because of its predictive capacity but also because the model is quick to use, and its input variables should be readily available to any informed user. The model is more accurate comparing with similar available models. However, further study is needed to modify it to obtain more realistic results.     

A Model for Landscape Planning Under Complex Spatial Conditions

We present a new mathematical programming framework that is adaptable to a variety of spatially explicit landscape problems in environmental investment, conservation, and land-use planning, transport planning, and agriculture. As part of capturing spatial interdependencies, the framework considers decision variables at two levels, finely spaced grid cells and landholdings. We applied the framework to an environmental investment problem using objective functions representing biodiversity and carbon sequestration. We also tested the model to optimize the path of a road through part of the landscape. Using the Nambucca case study in eastern Australia, we applied a hybrid greedy randomised adaptive search procedure (GRASP) to find solutions to the model.