Fire risk reduction through a community‐based risk assessment: reflections from Makola Market,Accra, Ghana

This paper explores the level of vulnerability to the hazard of fire that exists in Makola Market in Accra, Ghana, and assesses how this threat can be reduced through a community‐based risk assessment. It examines the perceptions of both market‐stall occupants and primary stakeholders regarding the hazard of fire, and analyses the availability of local assets (coping strategies) with which to address the challenge. Through an evaluation of past instances of fire, as well as in‐depth key stakeholder interviews, field visits, and observations, the study produces a detailed hazard map of the market. It goes on to recommend that policymakers consider short‐to‐long‐term interventions to reduce the degree of risk. By foregrounding the essence of holistic and integrated planning, the paper calls for the incorporation of disaster mitigation measures in the overall urban planning process and for the strict enforcement of relevant building and fire safety codes by responsible public agencies.     

基于变权灰色云模型的江苏省水环境系统脆弱性评价

水环境系统脆弱性是水资源利用与生态环境研究的热点问题，通过研究水环境系统的内在机理，综合考虑影响水环境系统脆弱性的资源、环境、经济、社会等因素，借助驱动力-压力-状态-影响-响应-管理（DPSIRM）框架构建水环境系统脆弱性评价指标体系。在此基础上，构建基于变权灰色云模型的评价方法，对2004~2014年江苏省水环境系统脆弱性进行评价。结果表明：2004~2014年水环境系统脆弱性指数由47.056提高到63.210，脆弱性等级由“重度脆弱”演化为“中度脆弱”，并长期维持在“中度脆弱的”等级，2014年出现了向“轻度脆弱”状态转变的趋势。分析各个子系统对水环境系统脆弱性影响程度可知，影响子系统和响应子系统对江苏省水环境脆弱性系统的影响程度逐年增加；而压力子系统和管理子系统对水环境系统脆弱性的影响程度逐年下降；其它子系统对水环境系统脆弱性的影响维持在一定水平小幅度波动。     

脆弱性基本原理与控制方法

本文从社会进步导致自反性危机出发,通过对风险承载体脆弱性构成要素暴露度、敏感度、适应度的分析,提出了三特征要素递次演化的模型;并根据脆弱性的递次演化的特点,提出了对脆弱性的辨识和递次管控的基本思路;最后,依据对地铁运行安全管理脆弱性的研究,进行脆弱性管理的实证分析。     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).     

Assessing the components of adaptive capacity to improve conservation and management efforts under global change

Natural‐resource managers and other conservation practitioners are under unprecedented pressure to categorize and quantify the vulnerability of natural systems based on assessment of the exposure, sensitivity, and adaptive capacity of species to climate change. Despite the urgent need for these assessments, neither the theoretical basis of adaptive capacity nor the practical issues underlying its quantification has been articulated in a manner that is directly applicable to natural‐resource management. Both are critical for researchers, managers, and other conservation practitioners to develop reliable strategies for assessing adaptive capacity. Drawing from principles of classical and contemporary research and examples from terrestrial, marine, plant, and animal systems, we examined broadly the theory behind the concept of adaptive capacity. We then considered how interdisciplinary, trait‐ and triage‐based approaches encompassing the oft‐overlooked interactions among components of adaptive capacity can be used to identify species and populations likely to have higher (or lower) adaptive capacity. We identified the challenges and value of such endeavors and argue for a concerted interdisciplinary research approach that combines ecology, ecological genetics, and eco‐physiology to reflect the interacting components of adaptive capacity. We aimed to provide a basis for constructive discussion between natural‐resource managers and researchers, discussions urgently needed to identify research directions that will deliver answers to real‐world questions facing resource managers, other conservation practitioners, and policy makers. Directing research to both seek general patterns and identify ways to facilitate adaptive capacity of key species and populations within species, will enable conservation ecologists and resource managers to maximize returns on research and management investment and arrive at novel and dynamic management and policy decisions.     

Assessment of Aquifer Vulnerability in an Agricultural Area in Spain Using the DRASTIC Model

The assessment of aquifer vulnerability is a very important task, especially in agricultural areas because the quality and availability of groundwater affects both the sustainability of agriculture and the quality of life. In this study, an integrated approach is considered, with the use of the generic and agricultural DRASTIC models as well as a geographic information system (GIS), to assess groundwater vulnerability in the agricultural area of Barrax, in the province of Albacete, in Spain. Seven parameters—depth to water, net recharge, aquifer media, soil media, topography, impact of vadose zone media, and hydraulic conductivity of the aquifer (DRASTIC)—have been considered as weighted layers to enable an accurate groundwater risk mapping. The results of the generic DRASTIC model indicated very low vulnerability to contamination for Barrax groundwater due to limited urban and industrial development in the wider area. However, agricultural activities impose pressure to groundwater resources and the results of the agricultural DRASTIC model show that 6.86% of the study area is characterized by very high, 2.29% by high, 47.28% by medium, 38.28% by low, and the remaining 5.29% by no vulnerability to groundwater contamination. The distribution of nitrate concentration in groundwater in the area under study is quite well correlated with the agricultural DRASTIC vulnerability index. Sensitivity analysis was also performed to acknowledge statistical uncertainty in the estimation of each parameter used, to assess its impact, and thus to identify the most critical parameters that require further investigation. Depth to water and impact of vadose zone are the parameters that had the most noticeable impact on the generic DRASTIC vulnerability index followed by the soil media and topography. In contrast, the agricultural DRASTIC method is more sensitive to the removal of the depth to water parameter followed by the topography and the soil media parameters.     

气候变化对莱州湾地区水资源脆弱性的影响

论文首先分析了在现状年(1993年)供水能力和需水条件下,1960～1993年的气候波动对莱州湾地区水资源供需平衡和脆弱性的影响。然后根据未来气候情景分析了在2000规划年和2020规划年供水能力和需水要求下,未来气候变化(2000～2042年)对水资源供需平衡及脆弱性的影响。在农业需水保证率50%时,2000～2019年水资源供需基本平衡,但2020～2042年水资源短缺20～57亿m³。若考虑未来气温的上升,则水资源短缺进一步加大。因此,2020年以后需在调入56亿m³客水资源基础上,从区外调入更多稳定的水量以保证该地区社会经济的可持续发展。     

Adaptation Options Strategies for Hazards and Vulnerability Mitigation: An International Perspective

The broad objective of this special issue of Mitigation and Adaptation Strategies for Global Change is to address some of the gaps in our knowledge and understanding of the policies, programs, and measures that might be applied to natural hazards and their impacts in an era of climate change. Given the global impacts of climate change and world-wide pattern of increasing losses from natural hazards we necessarily adopt an international perspective. The specific goals of the special issue are to: (a) encompass experiential aspects, emphasizing current practice of mitigation and its associated measures, and their results; and (b) explore primary or root causes of alarming shifts in human and economic costs of environmental extremes. Special emphasis is placed on how human activities are playing a key role in enhancing vulnerability to NTEE (nature-triggered environmental extremes), quite independently from the anthropogenic causes of climate change. The goals are also (c) to examine costs, risks, and benefits (of all kinds including social, political, ecological) of mitigation, and adjustment and adaptation measures; and (d) analyze policy implications of alternative measures. These components are expected to make significant contributions to policy considerations – formulation, implementation and evaluation. There is much uncertainty about the rate of climate change; however, the fact of increase of the atmospheric temperature in the last century is no longer a subject of scientific or policy debate. Due to such changes in the geophysical parameters, certain types of nature-triggered environmental extreme events are likely to continue to increase. How global warming will affect regional climates and pertinent variables is not well known, limiting our ability to predict consequential effects. This factor poses serious constraints against any straightforward policy decisions. Research findings of the work of this volume reaffirm that human dimensions, specifically our awareness and decision-making behavior, are powerful explanatory factors of increasing disaster losses. Disaster mitigation through addressing human, social, and physical vulnerability is one of the best means for contributing to ‘climate change adaptation plans’, and sustainable development goals. Recent lessons from various countries have depicted that the formulation of mitigation strategies cannot be exclusively top-down as it requires social, political, and cultural acceptance and sense of ownership. An interactive, participatory process, involving local communities, produces best expected outcomes concerning mitigation, preparedness, and recovery. An emerging consensus is that there is a need to move towards the ‘mission’ of the International Strategy for Disaster Reduction which aims at building disaster resilient communities by promoting increased awareness of the importance of disaster reduction as an integral component of sustainable development, with the goal of reducing human, social, economic and environmental losses due to natural hazards and related technological and environmental disasters. Sharing of best practices and lessons globally is certain to produce more efficiency and understanding in policy and decision making.     

城市建筑物抗震能力评估方法

由于建筑物震害预测方法只能估计建筑物的破坏而不能评定建筑物的抗震能力,基于对城市建筑物潜在破坏的估计,提出了城市建筑物抗震能力的评估方法。影响城市建筑物抗震能力的因素包括城市所处的地震危险性环境和城市建筑物的易损性。为了考虑地震危险性因素,进行了以地面峰值加速度(PGA)为参数的地震危险性分析,提出了我国不同地震危险性特征分区的PGA概率密度函数;为了考虑建筑物的易损性因素,采用HAZUS-MH中的静力弹塑性分析(push-over anal-ysis)方法研究群体建筑物易损性。通过对这两个因素的研究,建立了城市建筑物抗震能力评估方法,提出的相对全概率抗震能力指数可以反映城市建筑物在其所在的地震危险性环境下所具有的抗震能力,而采用绝对全概率抗震能力指数能够比较不同建筑抗震能力的差异,再结合建筑物抗震能力评估标准,可确定抗震能力水平。以晋江市抽样建筑物抗震能力评估为例,结合震害经验,论证了该方法的有效性。     

基于改进DEA交叉效率模型的洪水灾害区域脆弱性评价

为了评价洪水灾害区域脆弱性,提出了应用改进DEA交叉效率模型和熵权法相结合的洪水灾害区域脆弱性评价方法。首先,在洪灾形成理论的基础上,构建洪灾区域脆弱性指标体系和评价标准;其次,应用改进DEA交叉效率模型计算不同区域的成灾效率,利用熵权法计算权重集结全局成灾效率。根据成灾效率的实际意义分析不同区域脆弱性的相对大小。最后,选取我国各省份洪灾作为实证分析的研究对象。研究结果表明:该方法能够准确评价区域洪灾脆弱性程度,评价结果与实际情况一致,具有较好的适用性。