Organisational challenges in the United Kingdom's post‐disaster ‘crisis support’ work

Local authorities in the United Kingdom are required to ‘lead’ multi‐agency humanitarian responses to major disasters. Concerns mounted in the late twentieth century that responses to people bereaved in the immediate aftermath of such events at best failed to meet their needs and at worst compounded their distress. Subsequent reviews and reforms reframed some victim needs as ‘rights’ and established legal, administrative, and practice frameworks to improve matters. Local authority ‘crisis support’, provided in partnership with other actors, lies at the heart of the UK's contemporary emergency response to the bereaved. Drawing on primary research on the development and the deployment of crisis support in a local authority, and while acknowledging both incident‐ and context‐related difficulties, this paper considers the significance of challenges with their origins in organisational factors. Recent developments within and between responders may exacerbate them. This paper argues, therefore, that further research into such developments is necessary.     

UASB-接触氧化-气浮处理柠檬酸废水

介绍了UASB-接触氧化-气浮工艺处理柠檬酸废水的工程应用.工程运行表明,柠檬酸废水在进水SS、COD和BOD5分别为3427 mg/L、18 853 mg/L和11778 mg/L的条件下,经该工艺处理后,外排废水SS、COD和BOD5浓度分别为147.5 mg/L、223 mg/L和51.9 mg/L.该工艺具有占地面积小、工程投资和运行费用低及处理效果稳定等特点,能广泛应用于柠檬酸废水的处理.     

三论灾害防御能力的基本定义与特征

综合灾害防御能力评估已成为应急管理业务和研究的重要内容之一.在前期研究基础上,首先从近年来灾害系统的复杂性特征和应急管理的需求角度出发,对综合灾害防御能力进行了再理解,然后对现有灾害防御能力的多属性综合评估方法进行了梳理总结.以气象灾害为例,通过68项指标构建了我国综合气象灾害防御能力的6个单项指标体系,即制度适应能力...     

近30年来鄱阳湖环湖区土地利用与景观格局变化研究

以1988—2018年7期Landsat遥感卫星影像为数据源,采用土地利用转移矩阵、景观格局指数等方法探究了鄱阳湖环湖区近30年来土地利用与景观格局变化特征.结果表明：(1)近30年来鄱阳湖环湖区建设用地和林地面积显著增加,耕地、草地、水域和未利用地面积减少.(2)建设用地的转入类型以耕地为主,30年间共侵占耕地面积1243.66 km²,占建设用地面积增加量的71.19%.林地的转入类型主要为耕地和草地,其中,耕地转入占比56.95%.耕地的转出类型以建设用地、草地和林地为主,且1999年以后随着城镇化的发展耕地主要转向建设用地.(3)近30年来鄱阳湖环湖区景观总体破碎程度逐渐增大,景观斑块个数共增加63492个,增幅为11.68%.景观连通性降低,各类型土地呈均衡化趋势分布,景观异质性增加.研究结果可为推动鄱阳湖环湖区土地资源保护、生态环境保护和经济协同发展提供参考依据.     

In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods

There is an increasing need for the rapid safety assessment of chemicals by both industries and regulatory agencies throughout the world. In silico techniques are practical alternatives in the environmental hazard assessment. It is especially true to address the persistence, bioaccumulative and toxicity potentials of organic chemicals. Tetrahymena pyriformis toxicity is often used as a toxic endpoint. In this study, 1571 diverse unique chemicals were collected from the literature and composed of the largest diverse data set for T. pyriformis toxicity. Classification predictive models of T. pyriformis toxicity were developed by substructure pattern recognition and different machine learning methods, including support vector machine (SVM), C4.5 decision tree, k-nearest neighbors and random forest. The results of a 5-fold cross-validation showed that the SVM method performed better than other algorithms. The overall predictive accuracies of the SVM classification model with radial basis functions kernel was 92.2% for the 5-fold cross-validation and 92.6% for the external validation set, respectively. Furthermore, several representative substructure patterns for characterizing T. pyriformis toxicity were also identified via the information gain analysis methods.     

Customisation of the decision support system MOIRA-PLUS for applications to the marine environment

The present short communication describes a technique to customise the decision system MOIRA-PLUS for applications to the marine environment. MOIRA-PLUS was originally designed to predict the behaviour of ¹³⁷Cs and ⁹⁰Sr in fresh water ecosystems and to evaluate the environmental, social and economic impacts of selected countermeasures aimed at restoring the polluted environment and at reducing the doses to man. An example of application for predicting the concentration of radiocaesium of Chernobyl origin in the Mediterranean Sea is described and discussed. The technique allows the user to easily integrate existing state-of-the-art box models of sea water circulation into the MOIRA-PLUS decision system.     

浅谈新形势下县级环境监测工作

阐述了县级环境监测站在改革的新形势下,必须积极争取财政的支持,加强监测能力的建设,强化监测质量管理,拓宽技术服务领域,走自我完善,自我发展之路。     

基于RBF网络模型的混凝投药智能决策支持系统

介绍了基于径向基函数网络模型的混凝投药智能决策支持系统的机构、功能及其核心系统:径向基函数网络模型子系统和专家子系统的原理和实现方法.在实际水厂中的运行结果表明:与传统的SCD系统相比,该智能决策支持系统能实时确定混凝剂投加量,且沉淀池出水水质较好.     

Utility assessment of a map-based online geo-collaboration tool

Spatial group decision-making processes often include both informal and analytical components. Discussions among stakeholders or planning experts are an example of an informal component. When participants discuss spatial planning projects they typically express concerns and comments by pointing to places on a map. The Argumentation Map model provides a conceptual basis for collaborative tools that enable explicit linkages of arguments to the places to which they refer. These tools allow for the input of explicitly geo-referenced arguments as well as the visual access to arguments through a map interface. In this paper, we will review previous utility studies in geo-collaboration and evaluate a case study of a Web-based Argumentation Map application. The case study was conducted in the summer of 2005 when student participants discussed planning issues on the University of Toronto St. George campus. During a one-week unmoderated discussion phase, 11 participants wrote 60 comments on issues such as safety, facilities, parking, and building aesthetics. By measuring the participants' use of geographic references, we draw conclusions on how well the software tool supported the potential of the underlying concept. This research aims to contribute to a scientific approach to geo-collaboration in which the engineering of novel spatial decision support methods is complemented by a critical assessment of their utility in controlled, realistic experiments.     

基于支持向量机(SVM)的民用飞机重着陆智能诊断研究

针对国内航空公司对于重着陆的判断方法存在的不足,提出采用支持向量机(SVM)建立重着陆的智能诊断模型;分析对重着陆产生影响的相关因素,在力学基础上揭示了重着陆的产生原理;利用快速存取记录器中记录的多个飞行参数的信息,采用B737机型的实际样本数据进行训练和验证。结果表明:该方法能有效判断出是否发生重着陆,其准确率高达92.86%,证明该重着陆智能诊断方法具有较强实际应用价值,为后续研究奠定了基础。