试谈突发环境污染事件的舆论引导

突发环境污染事件的舆论引导,是政府特别是环保部门应对突发环境污染事件,降低其对环境造成严重污染和破坏,减少对人身和财产造成重大损失的重要举措。本文全面分析了突发环境污染事件舆论引导工作的现实意义、基本要求,并提出建立突发环境污染事件的舆论引导机制。     

如何应对当前环境应急工作面临的困难

介绍了我国环境应急工作面临的现状和困难,认为我国已进入了环境污染事故高发期,而我国环境应急工作起步较迟,应急能力基础薄弱,难以承受巨大的环境安全重压。因此,各级政府和环保部门应当采取有效措施,积极应对当前的困难,除了建立环境应急预案体系,还应建立联动机制,实行全过程控制等。     

一起有机硅工厂燃爆事故的应急监测案例分析

本文介绍了绍兴市袍江工业区"2.20"浙江恒业成有机硅有限公司燃爆事故的应急监测,在监测过程中确立了气、水等环境介质作为监测对象,确定含硅有机物和氯化氢作为主要监测因子,并根据实际情况合理地选择了监测方法,以为事故的应急处理提供借鉴。     

关于环境风险评价中事故池容积的探讨

通过对建设项目环境风险评价的分析,提出事故池是环境风险评价中的一项重要防范措施,其容积既要满足事故状态下对消防水的收集又要体现经济合理性。对环境风险评价中的事故池的容积设置进行了探讨。     

GIS技术在化学事故应急指挥系统中的应用研究

以地理信息系统（简称GIS）的技术特点为基础,结合应急指挥系统中的功能需求,探讨化学事故应急指挥系统GIS平台能够实现的功能,以及为实现这些功能而构建的数据库的建设。将GIS技术应用在化学事故应急指挥系统中,能够迅速、直观地了解事故装置和设备情况,获得有关信息,进行事故模拟。对提高事故处理速度,缩短反应时间,减少事故损失具有重要意义。     

基于DCD的“安全—发展”协同治理绩效评估框架探讨

党的十九大提出“统筹发展和安全”的要求,构建相应的“安全—发展”协同治理绩效评估体系成为迫在眉睫的任务。通过运用社会基本矛盾、社会主要矛盾、社会主要矛盾主要方面的理论原理,构建“发展—应急—满意度”(Development-Contingencies-Degree of Satisfaction,DCD)的三角形绩效分析框架,设立经济发展、安全责任制、科学管理、依法行政、公共服务、安全感等一级指标,探讨若干二级和三级指标,构建“安全—发展”协同治理绩效评估指标体系框架,为检验常态与应急态协同绩效治理水平提供尺度。     

Implementing wildlife-management strategies into road infrastructure in southern Ontario: a critical success factors approach

Wildlife-road conflict has profound negative impacts on both wildlife populations and society. Despite a long-held understanding of this problem, in most regions the wildlife-management strategies (WMS) available to mitigate this conflict are still relatively underutilized. This study examines the implementation of these strategies into road infrastructure, using Southern Ontario as a case study, in order to develop an understanding of what leads to successful WMS implementation. The project management concept of critical success factors was applied and interviews with project decision-makers and key stakeholders were conducted. Nine factors were identified and a comparison between a ‘smooth’ and ‘rough’ project is used to illustrate the cumulative effects that these factors, and their interrelationships, have on project implementation success. Practitioners can use these findings to evaluate WMS projects based on likelihood of success and allocate resources accordingly, ultimately leading to increased chances of implementation and overall benefit to conservation and society.     

Factors affecting conviction rates of intoxicated driver patients in two large trauma centers

Objective: Outcomes from previous studies report the driving under the influence (DUI) conviction rates for trauma patients in several cities within Canada and the United States over the last 2 decades. This study reports charge, conviction, and prosecution rates for trauma patients at 2 level I trauma centers servicing a large metropolitan city.

Methods: A retrospective review of the trauma databases was completed to identify patients meeting inclusion criteria. Four hundred sixty patients were identified and their records were compared with the district attorney's records for DUI charges and convictions.

Results: The conviction rate for this study was 8.7%, demonstrating continued low rates of conviction despite growing interest and public awareness of drinking and driving.

Conclusions: We discuss legal considerations that providers should consider when treating patients who have been drinking and driving.     

完善广东省环境应急管理机制研究

通过对多起北江污染事件(2005年北江镉污染、2010年北江铊污染、2011年武江河锑污染)的案例分析,探究突发环境污染事件的共同特征(由企业违法排污重金属污染物或EPA重点控制优先污染物造成)和演变趋势(影响范围逐渐扩大致应急管理要求逐渐提高),提出重点防控环境优先污染物、整治重污染行业、加强环境承载能力预警、实行强制环境责任保险制度等环境应急管理对策,完善广东省环境应急管理机制.     

Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype

Disasters evolving from hazards are a persistent and deadly occurrence in the United States. Despite this, hazard alerts have remained spatially vague, temporally imprecise, and lack actionable information. These deficiencies indicate a divide between the status quo and what is possible given modern environmental models, geographic information systems (GIS), and smartphone capabilities. This work describes an alternative, prototype system, “FloodHippo,” which integrates operational model outputs, cloud‐based GIS, and expanded communication channels to provide personal and interactive disaster alerts for floods. The precepts and methods underpinning FloodHippo apply equally to other disasters that evolve over space and time, presenting the opportunity for a more intelligent disaster response system. The development of such a system would not only minimize current shortcomings in disaster alerts but also improve resilience through individual action, along with community, academic, and federal cooperation.