海上应急保障资源调度的多目标模糊规划模型

针对现有应急资源调度模型无法完全适应海上应急保障环境的问题,建立了基于多目标模糊规划的海上应急资源调度模型.首先,将不确定的航行时间和资源需求量表示为三角模糊数,用时间隶属度函数的全积分对模糊应急开始时间进行确定化表示,用需求量隶属度表示需求点所接收的资源数量满足需求的程度.然后,考虑各需求点和各类资源的重要程度,以系统的时效性、需求满意度、安全性和经济性为优化目标建立多目标规划模型,最后,给出了模型的求解方法,并通过算例分析证明了方法的有效性.     

危险品运输网络优化设计研究综述

为分析当今反恐新形势下的危险品运输网络优化设计问题的研究现状,系统总结国内外关于一般场景和恐怖袭击威胁2种情况下危险品运输网络优化设计研究的主要模型和方法,梳理两者现有的研究内容,并讨论其共性及恐怖袭击威胁情景下的研究的新特点。结果发现:目前关于解决危险品运输网络优化设计问题模型的鲁棒性研究较为缺乏,尤其是模型在更为复杂和不确定性更强的恐怖袭击情景中适用性不强;危险品运输的鲁棒优化模型即使在突发事件条件下,也可以使决策者能够作出相对满意的决策;鲁棒性危险品运输网络能够规避风险扰动,可用来防止在恐怖袭击中因危险品车辆爆炸等造成更大的危害。     

Multi-objective transportation route optimization for hazardous materials based on GIS

Safety and security are of paramount importance, it is important to optimize and improve the routes of trucks that carry hazardous materials. In this study, we not only ensure the risk in the network, but also consider the transportation cost and the factors such as buildings and emergency facilities around the routes. The Geographic Information System (GIS) is used to quantify the factors on each section in the network. We present an epsilon constrained multi-objective mixed-integer linear programming optimization model to find the robust and stable transportation optimization solutions. At the end, we complete a case analysis of the proposed methodology to determine the motorway segments in Jiangsu province, China and test the above algorithm on the network, which has 144 nodes and 388 sections. The results we get show that the factors of buildings play a very important role in the model, and the multi-objective mixed-integer linear optimization model is reasonable and performs good quality.     

Livelihoods,conflict and aid programming: is the evidence base good enough?

In conflict‐affected situations, aid‐funded livelihood interventions are often tasked with a dual imperative: to generate material welfare benefits and to contribute to peacebuilding outcomes. There may be some logic to such a transformative agenda, but does the reality square with the rhetoric? Through a review of the effectiveness of a range of livelihood promotion interventions—from job creation to microfinance—this paper finds that high quality empirical evidence is hard to come by in conflict‐affected situations. Many evaluations appear to conflate outputs with impacts and numerous studies fail to include adequate information on their methodologies and datasets, making it difficult to appraise the reliability of their conclusions. Given the primary purpose of this literature—to provide policy guidance on effective ways to promote livelihoods—this silence is particularly concerning. As such, there is a strong case to be made for a restrained and nuanced handling of such interventions in conflict‐affected settings.     

Aggregating high-priority landscape areas to the parcel level: an easement implementation tool

Landscape characteristics and parcel ownership information are often collected on different spatial scales leading to difficulties in implementing land use plans at the parcel level. This study provides a method for aggregating highly resolute landscape planning information to the parcel level. Our parcel prioritization model directly incorporates a Land Trust's conservation goals in the form of a compromise programming model. We then demonstrate the use of our approach for implementation decisions, including parcel selection under a budget constraint and the estimation of a total conservation budget necessary to meet specific conservation goals. We found that these cost constraints significantly alter the composition of the 'best' parcels for conservation and can also provide guidance for implementation. The model's results were integral to a local Land Trust's ability to further define and achieve their goals.     

碳中和趋势下数学模拟在污水处理系统中的发展与综合应用

数学模拟技术在污水处理方面被广泛应用,为了系统总结相关技术,本文回顾了污水处理系统中数学模拟技术的发展历程;综述了活性污泥模型(ASM)与机器学习(ML)在水质预测及参数工况优化领域中的应用;重点探究了污水处理系统中温室气体排放模型,以及多目标优化模型在污水处理系统中温室气体排放(GHG)、出水质量(EQI)和运行成本(OCI)的权衡问题;归纳了数学模拟技术在实现污水厂能量自给与资源回收的应用发展.研究结果表明数学模拟技术能准确预测出水水质、快速优化工艺参数、权衡温室气体排放、出水水质与运行成本之间的关系、以及提高资源回收效率等.因此,数值模拟技术可有效指导污水处理工艺的运行优化以及管理,为污水处理行业减污降碳协同增效提供技术支撑.     

城市内部尺度PM2.5传输关联方法研究—以北京市为例

基于数据驱动思想,以城市内部环境空气质量监测站点为研究对象,建立了目标站点与周边站点间PM_2.5浓度、风向、风速、欧几里得距离等参数的多元线性关联回归模型,使用梯度下降算法学习得到各参数权重系数,计算得出周边站点对目标站点PM_2.5传输贡献,并评估了模型的可行性.以北京市丰台花园（FT）为目标站点的应用研究结果显示,2016年FT站点PM_2.5浓度为82μg/m³,周边站点大兴（DX）、房山（FS）、亦庄（YZ）、东四环（DS）、古城（GC）和万柳（WL）浓度分别为93,82,80,79,77,71μg/m³;FT站点PM_2.5浓度与上一时刻周边站点WL、GC、DX、YZ的相关性分别为0.634、0.631、0.608和0.601,显示其对FT站点PM_2.5污染传输显著;建立的4个季节关联回归模型RMSE值分别为13.22、11.74、12.51和13.22,PM_2.5模拟浓度与监测浓度变化趋势一致,验证了模型的可行性;WL、DX、YZ、GC分别是对应春、夏、秋、冬4个季节对FT站点PM_2.5污染传输贡献较大的站点,其贡献值分别为1.61%、1.71%、2.20%和8.57%.该模型解析的结果可为北京市未来城市规划、建设提供依据,提出的PM_2.5传输多元线性关联回归方法同样可用来解析其他城市内部尺度PM_2.5传输关联,为挖掘城市内部PM_2.5传输路径、精准溯源提供基础.     

社会资本对农村贫困代际传递影响机制研究

社会资本在反贫困领域的重要作用已被理论和实践所证实。在新时代脱贫攻坚的决胜阶段,有效发挥社会资本的周急济贫功能,缓解乃至阻断贫困代际传递,已成为当前反贫困战略推进中亟待探讨的问题。研究整合了四期中国家庭追踪调查(CFPS 2010、2012、2014、2016)个体家庭和村庄的嵌套数据,建立了“认知型”和“结构型”两种类型以及“个体家庭”和“村庄”两个层级的社会资本框架,并基于探索性因子分析构建了社会网络、社会信任、社会声望、社会参与、集体参与以及公共服务6个社会资本变量。研究利用HLM软件构建了多层广义线性模型(HGLM),通过四阶段的空模型、截距模型、随机效应模型以及完整模型分析了绝对贫困背景下社会资本对农村贫困代际传递的影响机制。研究结果表明:①个体社会资本总量与贫困代际传递呈显著负相关。②在个体家庭层面,社会网络、社会声望、社会参与对贫困代际传递有显著负向影响,但社会信任和地方信任对贫困代际传递的影响并不显著。③在村庄层面,公共服务对贫困代际传递具有显著负向影响,集体参与对贫困代际传递具有显著正向影响,且公共服务水平对社会网络和贫困代际传递具有正向调节作用。研究提出要大力培植贫困群体和乡村两个层级的社会资本以缓解农村贫困代际传递趋势:①要通过协调“乡政”与“村治”以形成良性的乡村治理格局。②要促进精准扶贫与乡村振兴战略紧密衔接,在保障个体脱贫的同时完善农村公共服务及基础设施建设,推进城乡基本公共服务均等化;③须提振贫困群体脱贫信心,增强村级自治与集体参与的水平和能力。     

A multi-agent simulation model for spatial optimisation of manure allocation

The EU Nitrate Directive has spurred many countries to regulate manure production and manure application. Farmers have three allocation options: spreading manure on their own land, transporting manure to other farmers' land or processing manure. The manure problem can be seen as an allocation problem. To better understand this allocation problem, we have developed the spatial mathematical programming multi-agent simulation (MP-MAS) model. This model has been applied in Flanders, Belgium, a region with a high concentration of livestock. The model evaluates the cost efficiency of policy intervention in the manure market through obliged processing. We propose to further optimise the policy using a regionally differentiated manure pressure indicator, which is directly derived from the dual outcome of the mathematical programme. This indicator increases transparency in the manure and processing market, leading to better decision support about location and type of manure processing.     

Optimal Selection of Priority Development Areas Considering Tradeoffs Between Hydrology and Development Configuration

Mixed-integer linear programs are proposed for siting development and conservation areas in watersheds, addressing economic objectives (development perimeter and proximity) and ecological objectives. Links between watershed hydrology and ecology need not be well defined. Parameters for the linear programs are obtained from linearization of the SWAT hydrologic model.