Learning lessons from the 2011 Van Earthquake to enhance healthcare surge capacity in Turkey

Historically, Turkey has adopted a reactive approach to natural hazards which resulted in significant losses. However, following the 1999 Kocaeli Earthquake, a more proactive approach has been adopted. This study aims to explore the way this new approach operates on the ground. A multinational and multidisciplinary team conducted a field investigation following the 2011 Van Earthquake to identify lessons to inform healthcare emergency planning in Turkey and elsewhere. The team interviewed selected stakeholders including, healthcare emergency responders, search and rescue services, ambulance services, and health authority representatives, in addition to conducting a focus group. Data were analysed according to an open coding process and SWOT (strength, weakness, opportunity, and threat) analysis. The findings suggest that the approach succeeded in developing a single vision by consolidating official efforts in a more structured way, mobilising many governmental and non-governmental organisations, securing significant amounts of resources including physical and human, and increasing the resilience and flexibility of infrastructure to expand its capacity. However, more attention is required to the development of stronger management procedures and acquisition of further resources.     

北京10个常绿树种颗粒物吸附能力研究

大气中颗粒物PM(particulate matter)不仅造成环境污染,还对人体造成严重的危害.城市绿色植物作为大气过滤器,能够有效地提高城市空气质量,保护人体健康.因此了解不同树种对空气颗粒物的吸附滞纳作用是必要的.以北京植物园10种常绿植被为研究对象,应用空气气溶胶再发生器(QRJZFSQ-I)测定了北京市常见6种乔木和4种灌木叶片对空气总悬浮颗粒物(TSP)、PM10、PM2.5和PM1.0的吸附能力.结果表明:1不同树种叶片表面附着颗粒物的能力差异明显,最高的是雪松(Cedrus deodara)和油松(Pinus tabuliformis),吸附量分别是(18.95±0.71)μg·cm-2和(14.61±0.78)μg·cm-2,冷杉(Abies fabri)最小,为(8.02±0.4)μg·cm-2;2不同树种叶片单位面积对不同颗粒物的附着能力也存在差异,附着PM10能力最强的是油松和雪松,附着PM2.5能力最强的是雪松、铺地柏(Juniperus procumbens)、龙柏(Juniperus chinensis cv.kaizuka)和油松,附着PM1.0能力最强的是雪松、铺地柏、冷杉和油松;3不同月份叶片上附着的各粒级颗粒物(PM10、PM2.5)占TSP的比例不同.其中PM10在4~6月之间主要表现两种变化趋势,一是先上升后下降,主要为灌木树种;二是逐渐上升,主要的树种是乔木树种.而PM2.5则没有这种明显的变化趋势.     

Air assimilative capacity-based environment friendly siting of new industries--a case study of Kochi region, India

Air pollution has become a matter of grave concern, particularly in mega-cities and urban areas, where the situation is alarming and becoming more and more severe day-by-day and warrants, therefore, careful planning to facilitate future industrial development. Site selection, with the objective of minimizing adverse environmental impacts based on environmental criteria is a vital prerequisite, particularly for air polluting industries. In order to locate any air polluting industry, the assimilative capacity of the region needs to be assessed carefully and planned accordingly, so that the receiving environment is not adversely affected. Assimilative capacity of a region/airshed, widely represented through the ventilation coefficient by many researchers in the past, does not give a clear picture about the amount of emission load that can be assimilated in a given region. The ventilation coefficient, at best, can only present a broad picture about the air pollution dispersion potential (low, medium or high) of the region. A modified approach, which utilizes air quality modelling as a tool to estimate the maximum allowable emission load that a region can assimilate without violating the stipulated standards, has been used for estimating the assimilative capacity of the air environment. Details of this approach have been presented in this paper through a case study carried out for the Kochi region, located in the Kerala State of India. A variety of emission and meteorological scenarios have been considered and critical emission loads have been estimated. This approach shall provide necessary technical guidance to the environmental regulatory authorities as well as to the industries in planning environment friendly industrial development.     

A framework for assessing the impact of land use policy on community exposure to air toxics

Our research focuses on the linkage between land use planning policy and the spatial pattern of exposure to air toxics emissions. Our objective is to develop a modeling framework for assessment of the community health risk implications of land use policy. The modeling framework is not intended to be a regulatory tool for small-scale land use decisions, but a long-range planning tool to assess the community health risk implications of alternative land use scenarios at a regional or subregional scale. This paper describes the development and application of an air toxic source model for generating aggregate emission factors for industrial and commercial zoning districts as a function of permitted uses. To address the uncertainty of estimating air toxics emission rates for planned general land use or zoning districts, the source model uses an emissions probability mass function that weights each incremental permitted land use activity by the likelihood of occurrence. We thus reduce the uncertainty involved in planning for development with no prior knowledge of the specific industries that may locate within the land use district. These air toxics emission factors can then be used to estimate pollutant atmospheric mass flux from land use zoning districts, which can then be input to air dispersion and human health risk assessment models to simulate the spatial pattern of air toxics exposure risk. The model database was constructed using the California Air Toxics Inventory, 1997 US Economic Census, and land assessment records from several California counties. The database contains information on more than 200 air toxics at the 2-digit Standard Industrial Classification (SIC) level. We present a case study to illustrate application of the model. LUAIRTOX, the interactive spreadsheet model that applies our methodology to the California data, is available at http://www2.bren.ucsb.edu/~mwillis/LUAIRTOX.htm.     

对生态补偿政策的几点思考

建立生态补偿政策是实现“三个转变”和制度创新的需要。环境资源价值理论、经济外部性理论和公共产品理论是生态补偿政策的理论基础;“破坏者付费,保护者受益原则”、“受益者补偿原则”、“公平性原则”、“政府主导、市场推进原则”和“分步推进”是生态补偿的基本原则。目前,我国事实的生态补偿政策主要包括财政补偿、流域内部补偿、征收生态环境补偿税费、市场方式补偿、异地开发补偿和国家间补偿。中国的生态补偿政策存在观念障碍、法律障碍、技术障碍,需要采取有效措施,尽快完善我国的生态补偿政策。     

流域横向生态补偿政策的水环境效益评估

基于2000~2019年浙江和安徽26个地级市的面板数据,使用合成控制法定量分析新安江3轮横向生态补偿试点政策对其水环境效益的总体性和结构性影响结果表明:政策效果在时间上存在异质性。第1、2轮政策试点显著的提升了新安江流域整体的水环境,但第3轮试点对上游水环境的影响是负的。政策效果在空间上存在异质性。流域横向生态补偿政策使下游的生物多样性价值平均提高了0.068亿元,但使上游生物多样性价值平均降低了0.015亿元。政策效果在结构上存在异质性。通过对水环境效益的结构性分解,发现横向生态补偿政策使新安江流域的水质净化能力价值平均提高了31.874亿元,但使其产品供给价值平均下降了13.402亿元。政策效果存在预期效益。流域横向生态补偿的政策效果在政策正式实施前2年已经出现。     

民用飞机实验室APU开车高温尾气排放影响因素分析

目的 对民用飞机APU在气候实验室内开展极端气候环境下的起动和工作试验,建立一种APU高温尾气安全排放方法。方法 用CFD仿真手段对采用排气管道将APU高温尾气排出气候实验室的可行性及影响因素(包括管道直径、距离、背压等)进行系统性分析研究。结果 气管道入口距离APU管道出口过近时,将有利于APU排气,引射比ε与排气管道出口压力Pex及排气管道直径D线性相关,排放温度tex与管道直径D成反比。在排气管道入口设置平滑收敛段,利于消除涡流,减轻负压程度,并在一定范围内提高引射比。结论 采用管道被动排气是可行的,合适的排气管道设计为D/d=2.0,L/d=1.5,并在管道入口设置平滑收敛段。     

一种基于综合环境剖面的导弹弹上设备加速贮存试验方法

目的 基于导弹武器在历经地面使用载荷后,还要满足飞行载荷的特点,讨论用于评估导弹弹上设备贮存期的加速贮存试验流程与方法。方法 开展加速因子试验,获得加速因子计算公式,根据实际使用环境载荷,制定综合环境试验剖面,按照贮存期目标值开展加速贮存试验,等效地面使用环境载荷,开展飞行环境载荷考核试验,试验成功后,给出贮存期评估结论。结果 该方法在多型导弹贮存延寿工程的弹上设备贮存期评估中得到应用,应用表明,可以评估导弹弹上设备的贮存期,具有工程应用价值。结论 获得加速因子计算公式后,将导弹弹上设备的地面使用环境载荷累计影响与能够经受飞行载荷环境分步进行试验,能够体现导弹弹上设备历经的环境载荷,可以用于弹上设备的贮存期评估。     

壬基酚的环境生物地球化学研究进展及对新污染物管理的建议

近年来,我国大气环境、水环境和土壤环境质量得到一定的改善,“碧水蓝天”已经成为常态.但随着持久性有机污染物、内分泌干扰物、抗生素和微塑料等新污染物在环境中不断被检出,新污染物正逐步受到广泛的关注,壬基酚作为一种典型的内分泌干扰物也备受研究人员的关注.系统地概括了我国水体中壬基酚的环境行为和暴露水平,并基于风险商法和联合概率曲线法对壬基酚可能造成的生态风险进行了评估.结果表明,壬基酚对水生生物的毒性效应主要包括急性毒性、生长发育毒性、雌激素效应和繁殖毒性;壬基酚在我国主要流域水体中普遍存在,其浓度平均值在60～1 000 ng·L^-1,浓度最高值可达4 628 ng·L^-1;基于风险商法和联合概率曲线法的风险评估结果表明,壬基酚对我国主要流域里的水生生物均存在一定的风险.最后,总结了目前比较常用的壬基酚处理处置和风险管控技术,比较了国际上内分泌干扰物的监管方法,针对我国在新污染物环境管理中存在的问题,提出了针对性政策建议,研究结果可以为我国新污染物管理和管控提供参考.     

滇中高原水库外源污染负荷贡献解析与环境容量核算

为探究高原型水库上游流域的污染负荷来源及其贡献率,并计算水库的水环境容量,以云南高原柴石滩水库为研究对象,应用排污系数法估算了水库上游流域污染来源,运用水文和水质同步监测资料计算入库污染负荷,采用富营养化模型核算了不同水质目标情景下水库TN和TP的最大容量.结果表明：(1)柴石滩水库及其以上流域主要特征污染物为TN和TP;(2)水库上游流域的COD和TP主要来源于农村面源污染,贡献率分别为49.40%和50.11%; NH⁺₄-N和TN主要来源于城镇生活污染,贡献率分别为45.76%和33.77%;农村面源污染贡献中,陆良县COD和TP贡献率最大,分别为34.82%和36.82%;城镇生活污染贡献中,麒麟区COD、 NH⁺₄-N、 TN和TP贡献率最大,均高达65%.(3)COD、 NH⁺₄-N、 TN和TP污染负荷入河量分别为28 050.90、2 465.16、4 680.54和870.93 t·a^-1,TN和TP污染负荷入库量分...