Does community resilience mitigate loss and damage from climaterelated disasters? Evidence based on survey data

Policy-makers view community resilience as fundamental to mitigating loss and damage from climate-related disasters. Although energy has been devoted to defining resilience, less effort has been devoted to analysing the effects of resilience on loss and damage, which is critical in places with limited capacity for adaptation. We use survey data to develop a composite index of community resilience in Fiji and then evaluate the extent to which community resilience mitigates loss and damage. We find that community resilience is negatively correlated with damages over which human intervention may be effective, but not with damages over which intervention is less effective, suggesting that community resilience may limit impacts. We further find that this result holds for a cyclone (about which communities had substantial advance warning) but not for river flooding (for which communities had little advanced warning), suggesting that early warning is necessary for community resilience to become responsive.     

基于双层规划的危险品运输专用车道优化设计

为更有效地设置危险品运输专用车道,在降低运输风险的同时减少专用道对路权的占用,从路网整体出发,以总体出行成本最小、路网运输风险最小和专用道利用率最大为目标,构建双层规划模型;使用NSGA-2算法求解双层规划模型,结合算例网络进行分析,验证模型和算法的有效性.结果表明:模型可综合考虑路网风险和总体出行成本,得到有效的专用...     

深圳地区地质环境特征与地质灾害防治

通过对深圳地区的地形地貌、地质构造以及气候条件等地质环境特征的调查分析,总结研究了该地区地质灾害的主要类型及地质灾害与地质环境之间的关系,并对深圳地区地质灾害的防治提出了加强地质灾害调查与研究工作、应用先进的监测技术创建地质灾害预警预报系统和提高地质灾害防治的勘察设计和管理水平等防治对策.     

基于QUAL2K模型的鹤壁卫河水质模拟预警研究

水质预报预警对于防范水污染、降低水污染风险及其带来的损失、保障用水安全及水环境质量等具有重大意义。提出了一种基于QUAL2K模型的水质模拟预警方法,包括水质模拟预测、预警指数计算和警情确定,以海河流域鹤壁市卫河为例进行实证研究。研究结果表明:基于QUAL2K模型模拟精度分别为COD 97.7%、NH_3-N 98.5%,水质模拟效果较好;所选河段预警时段内COD基本处于无警和轻警2个级别,氨氮大多是巨警,浓度严重超标,是导致监测断面预警指数高的主要原因。     

An Overview of EPA's Regional Vulnerability Assessment (ReVA) Program

Regional Vulnerability Assessment (ReVA) is an approach to place-based ecological risk assessment that is currently under development by EPA's Office of Research and Development. The pilot assessment will be done for the mid-Atlantic region and builds on data collected for the Environmental Monitoring and Assessment Program. ReVA is being developed to identify those ecosystems most vulnerable to being lost or degraded in the next 5 to 50 years and to elucidate which stressors cause the greatest risk to ecosystem goods and services. The goal here is not exact predictions, but an early warning system to identify and prioritize the undesirable environmental changes we should expect over the next few decades. As such, ReVA represents a new risk paradigm for EPA that will require innovative approaches to combine existing knowledge, focus new research, and synthesize many types of information into a meaningful assessment designed to inform environmental decision-makers about future environmental risk.     

Road Traffic Noise Prediction Model under Interrupted Traffic Flow Condition

The objective of this study is to develop an empirical traffic noise prediction model under interrupted traffic flow conditions using two analytical the approaches, the first being the acceleration lane approach and second being the deceleration approach. The urban road network of Bangalore city has been selected as the study area. Sixteen locations are chosen in major traffic junctions of the study area. The traffic noise data collected from the study locations were analyzed separately for both acceleration and deceleration lanes when vehicles leave an intersection on a green traffic light and come to a stop on red traffic light. Based on the study, a regression noise prediction model has been developed for both acceleration and deceleration lanes.     

太湖梅梁湾水环境监控预警体系研究

从水质预警站、实验室深度分析和蓝藻遥感监测等技术集成,监控预警模型构建,监控预警体系建立,应急响应工作 机制等方面介绍了太湖梅梁湾水环境监控预警系统的研究,为太湖流域水环境监控预警提供示范。     

Book Reviews

Books reviewed:
John Twigg and Mihir R. Bhatt, eds, Understanding Vulnerability
Joachim von Braun, Tesfaye Teklu and Patrick Webb, Famine in Africa: Causes, Responses, and Prevention
C. Emdad Haque, Hazrads in a Fickle Environment: Bangladesh
Walter Gillis Peacock, Betty Hearn Morrow and Hugh Gladwin, eds, Population and Food: Global Trends and Future Prospects
Roy Gutman and David Rieff, eds, Crimes of War: What the Public Should Know     

智能算法及其在环境预警中的应用

智能算法具有学习非线性问题的能力,可有效优化环境模型结构与参数,是环境预警的重要工具。重点分析了遗传算法和人工神经网络的相关特征,并以太湖蓝藻水华预报预警为例,介绍其在提高环境模型精度中的应用。     

集中式饮用水水源地环境监控预警体系构建

系统阐述了集中式饮用水水源地环境监控预警体系构建的内容和要素,并介绍了如何建立由风险监控系统、信息发布系统和预警响应系统等组成的水源地监控预警平台,以实现水源地环境监控预警信息和技术的统一管理和资源共享,为饮用水安全保障提供决策支持。