城市轨道交通浮置式减振措施的减振降噪效果

从分析轨道交通地下隧道振动传播特征出发,说明了地下振动的传播规律,并给出了不同埋深条件下地下振动影响范围的经验公式;结合地下振动激发频率特征的分析,对减振措施的减振效果的合理评价量进行了分析,指出采用Z计权减振效果评价量将获得与实际应用效果一致的降噪效果。结合两种浮置式减振措施减振降噪效果的实测,指出浮置板道床的减振效果应采用安装减振垫浮置板道床前后桥面的Z振级差来评价,而不宜采用轨面与桥梁直接的振级落差来评价。对橡胶减振垫以及钢弹簧浮置板的实测减振降噪效果进行了介绍。     

高速铁路车轮减振降噪优化方法

高速铁路车轮的振动辐射噪声在轮轨滚动辐射噪声中占有很大的比重,而且在1500Hz以上的频段内占主导,对列车车轮进行优化设计,通过改变车轮的形状,可以达到较好的减振降噪效果。本文对高速铁路车轮优化方法进行详细的分析评论,并提出相应的问题和改进的方向。     

隔声屏障在冷却机组降噪中的设计与应用实证

本文对成都双流九江环保垃圾发电厂循环冷却机组进行噪声治理,通过在声音传播途径上设立隔声屏障,并对该声屏障进行声学设计理论计算,声屏障建成后该机组在厂界外1m处,噪声值达到国家厂界噪声排放标准要求,并通过详细的实测数据、建立图形,进一步验证了声屏障理论计算公式和保护范围。     

水泥-电力行业的产业共生网络构建及区域案例研究

水泥工业作为工业生态系统的汇,能够多样化地利用其他行业的副产物,这种典型的产业共生模式可以通过减少资源和能源的消耗带来显著的CO₂减排效果.由于产业共生在水泥行业具有一定的普遍性及巨大的CO₂减排潜力,所以对水泥工业产业共生现状的了解与分析就显得尤为重要;而通过对产业共生现状的全面了解,才能对现有水泥行业产业共生的程度进行分析,并以此为参照,对未来不同政策与情景下的CO₂减排潜力进行量化与评估.为实现对产业共生实际情况的模拟,以水泥-电力行业的产业共生为例,采用最优化的方法,提出了一套基于一般统计数据来模拟产业共生实际情况的系统方法,将技术、经济与政策3类不同的决策变量影响纳入模型,以模拟出最接近真实情景的产业共生情况.为验证模型的有效性,对新乡市水泥-电力行业实际的产业共生情况进行分析.结果表明:新乡市水泥-电力行业间存在普遍的产业共生现象,实地调查中有77.8%（21家）的水泥制造企业利用粉煤灰作为水泥制造的原材料.将一般统计数据与实地调查数据对比发现,一般统计数据能较好地反映企业实际物质投入产出情况;利用一般统计数据,模型对新乡市产业共生网络结构模拟的准确率高达92.6%,显示该模型能较为有效地对产业共生的实际情况进行模拟.      

丰镇发电厂送风系统噪声原因分析及降噪研究

振动和噪声普遍存在于火电厂锅炉送风系统中 ,是电厂噪声污染的一个重要来源 ,严重影响电厂安全、经济、文明运行。有效地降低送风系统的振动和噪声是火电厂急需解决的问题。笔者针对丰镇火电厂送风系统结构和运行参数 ,对由此产生的噪声进行了细致的测量 ,分析了产生振动和噪声的原因 ,认为送风机蜗舌处产生的气动噪声和管道二次涡流是引发送风系统振动和噪声的主要原因。根据产生振动和噪声的原因 ,并结合电厂要求 ,进行了技术改造即在直管中安装栅格网及弯管处安装导流栅以消除局部涡流。技术改造方案实施后经测量的结果表明 ,冷风道的噪声下降了 7～ 1 6dB ,明显降低了送风系统的振动和噪声。     

防灾公园的减灾功能

地震灾害避难疏散的经验与教训表明 ,城市公园是重要的避难场所 ;防灾公园是减灾功能特别强的城市公园 ;城市公园改造成防灾公园或规划建设新的防灾公园可以提高城市公园的综合防灾减灾功能。发生城市突发事件时 ,防灾公园可以用作紧急避难所、灾害对策据点。防灾公园具有供居民避难以及确保避难人员基本生活条件的功能、防灾减灾功能、情报收集与传递功能、医疗与救护功能、运输基地功能等。强化防灾公园减灾功能的主要措施是广泛采用高新科学技术 ,并对防灾公园系统实施综合性的科学管理     

The potential implementation of green infrastructure assessment using high-resolution National Agriculture Imagery Program data for sustainable hazard mitigation

As green infrastructure gets its attention in hazard mitigation, it is necessary to improve general understanding on what makes green infrastructure important for hazard and resiliency research. To better understand how green infrastructure fits with more traditional notions of structural and nonstructural mitigation, this study examines the relationship between green infrastructure and ‘structural and nonstructural’ mitigation approaches for hazard mitigation. Also, this study discusses a new measurement of locational aspects and spatial patterns of green infrastructure by utilizing high-resolution data in urban areas, and its potential implementation in hazard mitigation. Compared to previous research using land-use land-cover datasets, the normalized difference vegetation index (NDVI) utilizing National Agriculture Imagery Program dataset provides an ability to capture green infrastructure in greater detail. A visual comparison suggests that the NDVI data are able to capture and identify more types of ‘green’ land uses in Harris County. The total green infrastructure percentages for Harris County, Texas, based on 1-m high resolution were found to be 61.5% of the area, compared to the 51.5% based on the National Land Cover Database. This study provides support for utilizing high-resolution data to establish guidelines for green infrastructure’s spatial characteristics and sustainable hazard mitigation. The outcomes of this study will be helpful in the strategic planning and implementation of green infrastructure in urban areas with hazard issues.     

Measuring participation by socially vulnerable groups in hazard mitigation planning,Bertie County,North Carolina

In accordance with the Disaster Mitigation Act, most US counties have a hazard mitigation plan (HMP) to reduce future disaster losses. HMPs are important as they can be used to proactively assess risk, direct future development, raise awareness and build consensus. Using a population-based sample, we interviewed residents of Bertie County, NC, about their awareness of and participation in the HMP process to determine if demographics, social vulnerability or hazard vulnerability were associated with increased awareness or participation. We also assessed whether these factors were associated with knowledge of policy changes and investments that were adopted in the HMP. Overall, the unemployed were the only group less likely to report awareness of or participation in HMP development. African-Americans, mobile home residents, the poor, short-term residents and those with less disaster experience were less likely to be aware of policies and investments prioritised in the HMP. Targeted efforts to increase awareness could potentially improve disaster outcomes among vulnerable populations.     

中国反刍动物甲烷排放量的初步估算及减缓技术

根据ＯＥＣＤ提供的反刍动物甲烷排放量计算方法，结合中国反刍动物能量供应的特点，初步估算了中国反刍动物甲烷排放量。反刍动物摄入总能量的６．９％～７．５％通过甲烷排放而损失掉，１９９０年甲烷排放量为５．８０Ｔｇ，约为全球动物排放量的７．２％。文中提出采取秸秆处理，舔砖和过瘤蛋白使用，改善管理等改进措施，不仅可以提高生产水平，也可减少甲烷排放量。     

Causasilty among wildfire,ENSO, timber harvest,and urban sprawl: The vector autoregression approach

This article demonstrates the applicability of vector autoregression (VAR) modeling in probing the causality relationships among wildfire, El Niño/Southern Oscillation (ENSO), timber harvest, and urban sprawl in the U.S. The VAR approach allows for the multi-directional, multi-faceted interactions among the variables concerned and enables us to portray the temporal impacts of ENSO, the volume of timber harvested, and urban sprawl on wildfire. The empirical analysis, though intended mainly for illustration, reveals that an individual factor may not affect wildfire activity (number of fires and area burned) when acting alone, but can significantly influence fire activity when coupled with other factors, and that wildfire activity has feedback effects on other variables. The impact of a change in ENSO, the volume of timber harvested, and urban population density on wildfire activity could last two decades with the most noticeable impact occurring in the initial 5–10 years. Though ENSO, timber harvest, and urban sprawl all Granger-cause wildfire activity, the impulse response functions show that wildfire activity is more responsive to urban population density than to the volume of timber harvested or ENSO. Thus, controlling urban sprawl represents another option for wildfire mitigation; and integrative wildfire management is essential.