石化企业应急能力评估方法与应用

在系统分析目前应急能力评估研究存在问题的基础上,提出了石化企业应急能力评估方法,包括应急准备评估和重大事故情景应对能力评估。应急准备评估为定量评估,设置10个一级指标、26个二级指标、48个三级指标,每个指标依据权重赋值,按照得分情况分为5个等级。重大事故情景应对能力评估为定性评估,基于"情景-应对"的方式、从10个应急功能对现有应急能力进行分析,评估结果分为4个等级。提出的方法在某天然气生产企业进行了应用,结果表明方法科学、合理,可以帮助企业了解现有应急能力存在的不足。     

NGO initiatives in risk reduction: an overview

NGOs appear to be well placed to play a significant role in natural disaster mitigation and preparedness (DMP), working, as they do, with poorer and marginalised groups in society. However, there is little information on the scale or nature of NGO DMP activities. This paper reports the findings of a study seeking to address that gap. It confirms that NGOs are involved in a diverse range of DMP activities but that a number of them are not labelled as such. Moreover, evidence of the demonstrable quality and benefits of DMP involvement is poor. The paper concludes that a number of problems need to be overcome before DMP can be satisfactorily mainstreamed into NGO development and post-disaster rehabilitation programmes. However, there are some early indications of momentum for change.     

增强全民减灾意识的思考

本文首先分析近几十年来全民减灾意识淡化的原因,然后着重提出了增强全民减灾意识的对策建议。     

深圳市洪涝灾害的数值模拟与分析

深圳市自建特区以来,沿河沿海低地迅速城市化,流域内大规模的开发活动加剧了水土流失,河道淤塞严重,行洪能力降低,新增市区防洪排涝设施不足,使深圳市洪涝灾害更趋频繁,经济损失急剧增长,为配合深圳市制定新的防洪(潮)规划,本研究开发了城市洪水演进一、二维不恒定流混合模型,分现状与规划措施实施后两种情况对各典型年暴雨、高潮的组合在深圳市可能造成的洪涝灾害进行了模拟和分析,其结果为深圳市合理评价防洪(潮)规划提供了依据。     

滑坡灰色系统预测模型及其应用

本文在分析目前国内外滑坡灰色预测预报模型基础上，提出了一种新的滑坡灰色系统预测预报模型。该模型相对於过去常用的灰色模型考虑了更多的影响因素，有更高的可信度。它不仅可用作滑波的临滑预报，还可用于般监测信息的预测。     

人工神经网络在台风预报中的应用初探

为了探索人工神经网络应用于台风分类预报的可能性，用具有Ｓ－特特性函数的Ｂ－Ｐ网络对每类台风的标准样本进行训练，由训练结束后的权值和阈值及待预报样本的因子测值，计算出网络输出值，作出台风分类预报。文中的实例表明人工神经网络用于台风预报具有客观性、可行性和实用性。     

甘肃省自然灾害及其防治对策

本文就甘肃省自然灾害的类型、分布、成因及其对社会经济的影响进行了分析研究,并提出了防治对策。     

面向保险业的大面积自然灾害防灾核损信息系统研究

本文依据区域自然灾害的组织体系，在Ｗｉｎｄｏｗｓ环境下，以ＭａｐＩｎｆｏ（ＧＩＳ）软件为主要支持工具，结合ＦｏｘＰｒｏｗ、ＶｉｓｕａｌＣ＋＋，提出了一整套保险防灾核损信息管理系统建设的概念化模型，并以湖南省为例，建立了全中文界面、面向湖南保险业的大面积防灾核损信息系统。最后，结合本系统给出几个应用实例     

灾害损失等级划分的模糊灾度判别法

作者应用模糊模式识别理论于灾害损失等级划分的研究，提出了模糊灾度概念，并建立了模糊灾度等级的隶属函数，从而给出了一种可用于灾害损失等级划分的模糊灾度判别法。     

Tracking progress on the economic costs of disasters under the indicators of the sustainable development goals

The Sustainable Development Goals indicator framework identifies as an indicator of progress the objective of reducing disaster losses as a proportion of global gross domestic product. This short analysis presents data on this indicator from 1990. In constant 2017 US dollars, both weather-related and non-weather related catastrophe losses have increased, with a 74% increase in the former and 182% increase in the latter since 1990. However, since 1990 both overall and weather/climate losses have decreased as proportion of global GDP, indicating progress with respect to the SDG indicator. Extending this trend into the future will require vigilance to exposure, vulnerability and resilience in the face of uncertainty about the future frequency and magnitude of extreme events.