健康住宅的降噪问题与技术措施

健康住宅的噪声控制,包括对噪声源的认识、进行降噪的方法设计、技术措施实施效果的分析等内容。笔者在研究健康住宅噪声种类和控制标准、分析控制噪声基本措施的基础上,认为健康住宅噪声控制的难点在于设计方法和技术措施两方面,解决问题的思路是将降噪手段视为系统工程,包括住区户外和住宅室内两大系统;综合设计降噪控制技术,才能达到健康住宅声环境的控制标准。     

政策干预对提高煤矿职工素质影响探讨

煤矿井下作业人员素质低,是煤矿事故多发的重要原因之一.建议从大幅度提高煤矿井下人员工资待遇,吸引高素质人才从事煤矿工作;全方位开展煤矿职业培训工作,坚持先培训后就业,实行煤矿从业准入制;对现在岗的煤矿从业人员分期分批进行培训,实现煤矿从业人员持证上岗;政府出台政策,强制煤矿企业开展职工岗位技术培训和安全培训等4个方面着手,切实提高煤矿从业人员的整体素质,减少煤矿事故的发生.     

综合防尘技术在煤矿的应用实践

粉尘严重威胁矿井安全生产和职工身体健康。公司依靠科学管理，完善了各项综合防尘管理制度，制定了一系列综合防尘方面的管理规定和防尘技术操作规程；加强技术创新，重点抓好综采、综掘工作面以及回风系统和定点尘源的装置，实行自动控制等综合防尘技术；从管理和技术创新角度，通过采用减少粉尘产生、降尘、排尘、除尘、个体防尘等综合防尘技术措施应用实践，取得了良好的效果。     

矿井电网动态安全分析系统的研究

随着国民经济的迅速发展,各行各业对煤矿资源的需求越来越大,然而矿难事故的频繁发生,煤矿安全已成为迫切需要解决的首要问题。笔者针对目前的矿井供电系统存在的不足而导致的安全隐患问题,进行了深入的理论研究和技术分析。根据煤矿供电系统的实际情况,对其供电系统的动态安全分析问题进行了较全面的探讨和论述;介绍了矿井电网动态安全分析系统的功能要求、主要组成部分和结构;对各部分的实现和需要注意的问题进行了分析;给出了矿井电网动态安全分析系统的框图及系统最终要反映的信息要求。     

Pesticide Impact Rating Index – A Pesticide Risk Indicator for Water Quality

Pesticide users, natural resource managers, regulators, government agencies and many others are concerned about the off-site impact of pesticides on the environment. Systematic methods of the assessment of potential risk of pesticides to environmental components can serve as valuable tools in decision making and policy formulation. Simple risk indicators have been developed which cover a range of scenarios such as toxicity to organisms, health of farm workers, consumer health, and residues in harvested produce. The authors have developed a software package named Pesticide Impact Rating Index (PIRI) that outputs an improved pesticide risk indicator for water quality. PIRI is a standalone, user-friendly, platform-independent program. It can be used to (i) rank pesticides in terms of their relative pollution potential to groundwater or surface water, and (ii) to compare different land uses in a catchment or at a regional scale in terms of their relative impact on water quality. It is based on pesticides use; the pathway through which the pesticides are released to the water resources (drift, runoff, erosion, leaching) and the value of the water resources threatened. Each component is quantified using pesticide characteristics (including toxicity to organisms at different trophic levels, i.e. fish, daphnia, algae, etc.), environmental and site conditions (e.g. organic carbon content of soil, water input, slope of land, soil loss, recharge rate, depth of water table, etc.). This paper describes two case studies of the application of PIRI in Australia. The comparison of the risk assessment by PIRI on these revealed that PIRI correctly estimated the pollution potential of pesticides in greater than 80% of cases. A GIS version of PIRI is described in a companion paper in this volume. An erratum to this article is available at .     

地理信息系统技术在环境中的应用

地理信息系统(GIS)技术现已广泛应用于环境领域。简要介绍了该技术的功能特点,并从大气、水、土壤、噪声四个方面探讨了GIS在环境保护中的应用。研究结果表明,GIS是研究环境子系统协同效应的实用技术。     

大学校园安全的技防与人防

论文结合现有文献分析了大学校园存在周边环境复杂、学生安全意识薄弱、未能落实安防制度和安全责任、安全设备运用不足等问题,提出大学校园的安全工作应遵循人防与技防相结合的原则,建议通过安全人防的岗位责任制、培训机制、安保部门和公安机关联动机制、奖励机制,以及技防的安防设备配置全面规划、意外安全事故风险防范、安防设备和技术的自主创新等方式,来改善大学校园的安全水平。     

基于GM-SVR的小样本条件下化工设备可靠性预测

为了准确预测化工设备可靠性趋势，针对化工设备失效寿命数据为小样本的情形，基于灰色估计法与支持向量回归机在小样本数据处理中的优势，建立了失效寿命时间服从三参数威布尔分布的化工设备可靠性模型；结合GM（1，1）和SVR对模型进行参数估计，在压缩机可靠性分析中进行了实例应用，对比分析了最小二乘法、灰色估计法和GM-SVR的估计效果。研究结果表明:GM-SVR对威布尔分布参数的估计精度明显优于最小二乘法和灰色估计法，可以有效地应用于化工设备失效数据为小样本时的可靠性预测。     

Plant blindness and the implications for plant conservation

Plant conservation initiatives lag behind and receive considerably less funding than animal conservation projects. We explored a potential reason for this bias: a tendency among humans to neither notice nor value plants in the environment. Experimental research and surveys have demonstrated higher preference for, superior recall of, and better visual detection of animals compared with plants. This bias has been attributed to perceptual factors such as lack of motion by plants and the tendency of plants to visually blend together but also to cultural factors such as a greater focus on animals in formal biological education. In contrast, ethnographic research reveals that many social groups have strong bonds with plants, including nonhierarchical kinship relationships. We argue that plant blindness is common, but not inevitable. If immersed in a plant‐affiliated culture, the individual will experience language and practices that enhance capacity to detect, recall, and value plants, something less likely to occur in zoocentric societies. Therefore, conservation programs can contribute to reducing this bias. We considered strategies that might reduce this bias and encourage plant conservation behavior. Psychological research demonstrates that people are more likely to support conservation of species that have human‐like characteristics and that support for conservation can be increased by encouraging people to practice empathy and anthropomorphism of nonhuman species. We argue that support for plant conservation may be garnered through strategies that promote identification and empathy with plants.     

ABC算法优化SVR的磨损故障预测模型

目的为了提高故障预测的精度,针对支持向量回归SVR(Support vector machine for regression,SVR)参数选择困难的问题,提出一种采用人工蜂群(artificial bee colony,ABC)算法优化支持向量回归(SVR)的故障预测模型(ABC-SVR)。方法该模型先对样本数据进行重构,然后将故障预测误差(适应度)作为优化目标,通过ABC算法寻优找到最优的SVR参数,建立故障预测模型。最后通过实例仿真验证模型的优越性。结果采用ABC算法优化的SVR故障预测模型进行时间序列预测,能够较好地跟踪发动机滑油金属元素浓度的变化过程,并且能够提前2个取样时间预测异常情况的出现。结论 ABC-SVR模型有效解决了SVR参数选择难题,能够更加准确地表现故障变化规律,提高了故障预测精度。