环境规划中声环境管控分级研究——以长春市龙嘉机场为例

文章以长春市龙嘉机场为研究对象,结合机场参数指标,绘制机场噪声等值线图,并与城市规划相结合,评价机场周边噪声影响程度以及机场噪声对城市发展的限制作用.文章首先对机场周边56个噪声监测点位进行机场噪声数据采集,通过专业软件进行飞行事件分析,在飞行程序及飞行数据分析基础上,利用INM模拟软件进行机场模型构建,绘制机场噪声等值线图.结果表明,龙嘉机场Lwecpn 70以上区域总面积11.28平方公里,机场周边各类建设用地布局符合声环境标准当中土地用地的布局要求.     

大尺寸结构振动试验系统浅析

研究总结了大尺寸结构振动试验系统现状与振动试验方法,解决随着振动试件尺寸的增大而出现的振动试验加载安装尺寸不足和单台振动台推力不足等问题。对国内外主要可靠性试验室针对大尺寸振动试验采取的方法和技术进行了研究和总结,分析与比较不同技术和方法对于解决问题的优劣,并介绍了采用不同方法进行大尺寸结构试件振动试验案例。总结并介绍了大尺寸结构产品振动试验系统,并对未来大尺寸结构产品振动试验系统的发展进行了展望。     

树立大安全观提高企业非生产系统安全与健康水平

本文针对控制企业非生产系统和八小时外发生的安全事故,提出了企业做好大安全工作的具体措施,包括:企业必须确立大安全观,建立综合型安全管理机构和模式;拓宽安全培训内容;加强对野外作业临时住房等生活设施的安全检查与评价,控制境外交通运输事故;积极推行质量、环境、职业安全卫生管理体系"三合一"运行;定期为职工体检,引导职工建立...     

排烟方式对大空间建筑火灾空气升温的影响

为了考察烟气排放对大空间建筑火灾温度场的影响,利用FDS程序仿真模拟了火灾场景,系统分析了不同排烟系统对温度场的影响。结果表明:烟气排放对温度的影响较大,最大降温幅度可达原最高温度的50%左右;降温幅度与建筑高度有密切联系;当建筑高度小于12m时,按规范设计的自然排烟系统下的火场温度低于机械排烟的火场温度;当建筑高度达到或超过12m时,自然排烟系统下的火场温度将接近或高于机械排烟的火场温度。     

基于贝叶斯网络的航空器看错落错跑道事件研究

目前,航空器看错、落错跑道事件在国际上是一个相当突出的安全问题,这个问题在我国近年也突显出来。导致航空器看错落错跑道的原因十分复杂,且此类事件及易引发严重的后果,造成人、财、物等多方面的损失,本文特对此类问题开展了一系列的研究。为了预防航空器看错、落错跑道事故的发生,查找诱发该类事故的因素,针对航空器看错、落错跑道事故的形成特点,笔者运用贝叶斯网络探讨其各影响因素间的关系和相互作用,该网络强大的逻辑推理能力,克服了不完备样本空间带来的不足,揭示了人、机、环境与管理因素相互作用的内在规律。为改善机场安全管理的科学性、可靠性,进一步降低事故率,提供了可靠的技术支持。     

Precarious work or sustainable livelihoods? Aligning Prestea's Programme with the development dialogue on artisanal and small‐scale mining

Alternative livelihoods programmes (ALPs) are extensively executed in mining communities, often as models of development dialogue on artisanal and small‐scale mining (ASM). This paper assesses whether Prestea's ALP aligns with the development dialogue on artisanal mining. The conceptual design of ALP in Ghana's Prestea is based on the notions of substitution, homogenous community, and impact scalability. This paper argues that the Prestea ALP is not aligned with the development dialogue on artisanal mining, and therefore it is difficult to understand the role and function of environmentally‐damaging behaviours within livelihood strategies. The paper contends that it would be appropriate to concentrate on improving the existing artisanal miners’ operation of those most susceptible to resource access restrictions. Further, it may be more prudent to utilize livelihood‐centered interventions that create strong connections with sustainable development as a way of creating regular community engagements. Additionally, this paper argues that the term for the intervention programme on artisanal mining should be replaced with the broader term ‘livelihood‐centered intervention’. The replacement of the term ‘ALP’ avoids the tacit belief that ALP can adequately replace artisanal mining operations. Livelihood‐centered intervention should not necessarily utilize alternative livelihoods as direct behavioural change instruments.     

Wetland Flowpaths Mediate Nitrogen and Phosphorus Concentrations across the Upper Mississippi River Basin

Eutrophication, harmful algal blooms, and human health impacts are critical environmental challenges resulting from excess nitrogen and phosphorus in surface waters. Yet we have limited information regarding how wetland characteristics mediate water quality across watershed scales. We developed a large, novel set of spatial variables characterizing hydrological flowpaths from wetlands to streams, that is, “wetland hydrological transport variables,” to explore how wetlands statistically explain the variability in total nitrogen (TN) and total phosphorus (TP) concentrations across the Upper Mississippi River Basin (UMRB) in the United States. We found that wetland flowpath variables improved landscape-to-aquatic nutrient multilinear regression models (from R² = 0.89 to 0.91 for TN; R² = 0.53 to 0.84 for TP) and provided insights into potential processes governing how wetlands influence watershed-scale TN and TP concentrations. Specifically, flowpath variables describing flow-attenuating environments, for example, subsurface transport compared to overland flowpaths, were related to lower TN and TP concentrations. Frequent hydrological connections from wetlands to streams were also linked to low TP concentrations, which likely suggests a nutrient source limitation in some areas of the UMRB. Consideration of wetland flowpaths could inform management and conservation activities designed to reduce nutrient export to downstream waters.     

Model‐Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 2. Criteria Derivation

Nitrogen and phosphorus criteria were developed for 233 km of the Yellowstone River, one of the first cases where a mechanistic model has been used to derive large river numeric nutrient criteria. A water quality model and a companion model which simulates lateral algal biomass across transects were used to simulate effects of increasing nutrients on five variables (dissolved oxygen, total organic carbon, total dissolved gas, pH, and benthic algal biomass in depths ≤1 m). Incremental increases in nutrients were evaluated relative to their impact on predefined thresholds for each variable; the first variable to exceed a threshold set the nutrient criteria. Simulations were made at a low flow, the 14Q5 (lowest average 14 consecutive day flow, July‐September, recurring one in five years), which was derived using benthic algae growth curves and EPA guidance on excursion frequency. An extant climate dataset with an annual recurrence was used, and tributary water quality and flows were coincident with the river's 10 lowest flow years. The river had different sensitivities to nutrients longitudinally, pH being the most sensitive variable in the upstream reach and algal biomass in the lower. Model‐based criteria for the Yellowstone River are as follows: between the Bighorn and Powder river confluences, 55 μg TP/l and 655 μg TN/l; from the Powder River confluence to Montana state line, 95 μg TP/l and 815 μg TN/l. Pros and cons of using steady‐state models to derive river nutrient criteria are discussed.     

基于空间拟合和神经网络的机场噪声预测集成模型

将集成学习方法引入到机场噪声预测中,提出一种基于空间拟合和神经网络的机场噪声预测集成模型.该模型采用空间拟合算法和BP神经网络算法构建基学习器,然后通过所提出的基于观察学习的异构集成算法将基学习器集成起来,获得集成的机场噪声预测结果.该模型通过集成多个异构机场噪声预测基学习器,能够有效提升预测准确率.实验结果表明,本文所提出的基于观察学习的异构集成算法,较之其他异构集成算法,在解决机场噪声预测问题上准确性更高、容错性更强.     

大型铁路客运站大客流预警及应对方案设计 ——以北京西站为例

铁路客运站作为旅客集散地,出入站客流量会因为节假日、大规模列车晚点或停运等突发事件出现大规模聚集。当车站出现高密度客流时,若未能及时采取有效的应对措施,极易出现踩踏等事故。为应对车站大客流情况,首先制定了黄、橙、红三级预警机制。其中黄、橙预警用于应对车站高密度客流情况,而红色等级预警则用于应对短时间内车站需迅速疏散客流的紧急情形和大量客流长时间无法乘车离开的情形。最后重点研究了基于不同等级预警的应对方案。所提出的大型客运站大客流预警与应对方案实际应用于北京西站,经过多次春运和暑运检测,起到了良好的效果。