Influence of Environmental Factors on the Evolution of Industrial Noise-Induced Hearing Loss

The aim of the study is to investigate how environmental factors, associated with exposure to industrial noise, affect the development of chronic noise-induced hearing loss.The studywas conducted on 186 male subjectsworking in two bottling plants, situated respectively in a small farming community, and in a medium-sized city with significant levels of noise pollution. Levels of occupational exposure were the same for the two groups.The subjects were selected by means of a preliminary medical examination, and exposed to tonal hearing tests and acoustic impedance tests. Statistical analysis was performed on hearing threshold values obtained at the frequencies of 500, 1000, 2000 and 4000 Hz.The comparison between the thresholds obtained in the two groups showed a statistically significant difference, especially at the frequency of 4000 Hz and for occupational exposure exceeding 17 yr. The results led us to conclude that environmental factors, and urban noise in particular, influence the onset and development of occupational acoustic trauma, and that those working in the country are significantly less affected than those in the city. Since occupational exposure was the same for both groups, their different responses must therefore be interpreted as due to differences in nonoccupational exposure, in turn dependent on different opportunities for rest from noise and different levels of exposure to noise pollution.     

Evaluation and analysis of noise levels in Ilorin metropolis, Nigeria

Evaluation and analysis of noise pollution levels have been carried out to determine the level of noise and its sources in Ilorin metropolis. Noise measurements have been done in the morning, at noon, in the evening, and at night to determine noise pollution all over the city. The selected areas of study are commercial centers, road junctions/busy roads, passenger loading parks, and high-density and low-density residential areas. The road junctions had the highest noise pollution levels, followed by commercial centers. The results of this study show that the noise levels in Ilorin metropolis exceeded allowed values at 30 of 42 measurements points. There is a significant difference (P?<?0.05) in the noise pollution levels and traffic noise index in all the locations. From the measured noise values, a map of noise pollution was developed for Ilorin. Many solutions proposed for noise abatement in the city are set out.     

A comparative study of noise pollution levels in some selected areas in Ilorin Metropolis, Nigeria

The noise pollution is a major problem for the quality of life in urban areas. This study was conducted to compare the noise pollution levels at busy roads/road junctions, passengers loading parks, commercial, industrial and residential areas in Ilorin metropolis. A total number of 47-locations were selected within the metropolis. Statistical analysis shows significant difference (P < 0.05) in noise pollution levels between industrial areas and low density residential areas, industrial areas and high density areas, industrial areas and passengers loading parks, industrial areas and commercial areas, busy roads/road junctions and low density areas, passengers loading parks and commercial areas and commercial areas and low density areas. There is no significant difference (P > 0.05) in noise pollution levels between industrial areas and busy roads/road junctions, busy roads/road junctions and high density areas, busy roads/road junctions and passengers loading parks, busy roads/road junctions and commercial areas, passengers loading parks and high density areas, passengers loading parks and commercial areas and commercial areas and high density areas. The results show that Industrial areas have the highest noise pollution levels (110.2 dB(A)) followed by busy roads/Road junctions (91.5 dB(A)), Passengers loading parks (87.8 dB(A)) and Commercial areas (84.4 dB(A)). The noise pollution levels in Ilorin metropolis exceeded the recommended level by WHO at 34 of 47 measuring points. It can be concluded that the city is environmentally noise polluted and road traffic and industrial machineries are the major sources of it. Noting the noise emission standards, technical control measures, planning and promoting the citizens awareness about the high noise risk may help to relieve the noise problem in the metropolis.     

长江流域水环境监控体系配置及其关键参数选择原则

在分析长江流域水质污染现状和自动监控系统的配置现状基础上,针对长江流域需要监控的水域,提出了适合长江流域的国家、省、市三级自动监控体系.最后,提出了水质常规监测站的参数配置原则以及应急监测参数配置原则.     

我国城市声环境质量状况与分析

介绍了我国城市声环境质量状况,并就相关问题进行了分析.我国城市道路交通声环境质量大部分处于好和较好水平;城市区域声环境质量主要处于较好和轻度污染状态;约有1%的人口处在噪声重度污染区域;交通噪声影响强度最大;社会生活噪声影响范围最广;环境噪声污染仍存在污染投诉率高、交通噪声污染严重等问题,改善声环境质量仍是今后一项主要工作.     

Urban Development and Air Quality in San Luis City, Argentina

Some factors such as the high population growth, along with insufficient housing, health and sanitary services, obsolete industrial technology and the lack of environmental management programs, give rise to contamination in Latin-American cities. Owing to the urban characteristics of San Luis, a detailed analysis of air quality was planned as part of a more comprehensive study, in order to make an environmental diagnosis of the city after the demographical and economic upgrowth over the last 15 years. It has been concluded that air pollution levels in San Luis are higher than those expected for a medium-size city. The reported high levels were attributed to important industrial activity, responsible not only for the direct of polluting gases to the atmosphere but also as the principal cause of the urban expansion. The levels of CO and SO₂ (ppm) found in the city can be considered as high. Some weeks during the sampling measure values were appreciably higher than the maximum tolerance levels established. The urban area under study was separated into five defined areas, which allowed to make comparisons in order to identify specific contamination problems. The slopes corresponding to the plot polluting substances concentration vs. wind speed were lower than the expected values. Because of the urban area characteristics, different micrometeorological effects facilitating a low air exchange can be generated, and consequently increasing the contamination levels. Thus, it is correct to conclude that the degradation processes are not occurring in a single environmental plane. Accordingly, air contamination rate in San Luis city could be considered as evidence of other upper-scale regional environmental degradation processes.     

Efficient control of air pollution through plants, a cost-effective alternative: studies on Dalbergia sissoo Roxb

Plants can be used as both passive biomonitors and biomitigators in urban and industrial environments to indicate the environmental quality and to ameliorate pollution level in a locality. Many studies reveal that plants are negatively affected by the ambient levels of air pollutants. The present study was conducted to evaluate the impact of air pollution on comparative basis with reference to changes in photosynthetic pigments, plant height, leaves, as well as, biochemical parameters of plants of different sites around Udaipur city receiving varying levels of pollution load. The investigated tree species Dalbergia sissoo Roxb. (Family: Fabaceae) exhibited a reduction in various physiological and biochemical growth parameters that correspond with air pollution levels at different sites. The tree species growing in polluted and control areas were compared with respect to foliar dust load, leaf area, and chlorophyll and total carbohydrate and total protein concentration in the leaves. Our studies suggest that D. sissoo Roxb. can successfully be grown in an area for monitoring air pollution, where it is mild and droughts are common. It will prove as an ideal tree species to control pollution effectively beside acting as a shade tree and being a source of food for birds and animals. By plantation of D. sissoo Roxb., mitigative measure at the polluted sites to control generation of particulate matter and the air quality required can be ensured. Our results also confirm that industrial and vehicular air pollution level in Udaipur city is shifting beyond limits.     

区域环境噪声标准适用区域划分的定量化

根据国家环保局关于区域环境噪声环境划分的规定，提出了区域环境噪声标准定量化划分的模型，该模型综合了自然因素和噪声污染因素，模型在南通市区域环境噪声标准划分中得到了验证。     

工程数学数理统计中的抽样理论在城市环境噪声监测优化布点中的应用探讨

用工程数学数理统计中的抽样论研究城市环境噪声监测优化布点,探讨以较少的监测点的测试数据反映整个城区的噪声水平,从而推动环境噪声监测技术的发展     

灰色理论及其模型在北京典型城市区域声环境研究中的应用

以北京市某典型区域作为研究对象,在收集大量相关资料与实测历史噪声数据的基础上,对研究区域内的声环境质量影响因素进行灰色关联度分析,并运用灰色理论建立GM（1,1）模型进行预测。结果表明,影响城市区域声环境质量因素从大到小的排序依次为：机动车辆﹥常住人口数量﹥平均车流量﹥地区生产总值﹥城市道路桥梁﹥基础设施投资﹥治理噪声环保投资;以研究区域内噪声污染实测历史数据建立的GM（1,1）模型精度符合要求标准,根据GM（1,1）模型预测北京市“十二五”期间声环境质量达标且有轻微下降趋势。     

米泉市城市环境空气污染状况分析和污染防治对策探析

根据2000年以来的环境监测数据,分析新疆首府乌鲁木齐市的重要卫星城米泉市的环境空气污染状况,结果显示米泉市环境空气质量污染严重,超越乌鲁木齐市。成为全疆冬季大气污染最严重的城市之一,大气环境质量亟待改善。本文针对米泉市环境空气严重污染的状况提出了控制对策和减缓措施,以期为改善乌鲁木齐市及周边城市大气污染状况提供依据。     

燃放烟花爆竹对声环境评价的影响

噪声自动监测系统可以对噪声进行长期连续监测。通过对连续两年的北京市自动噪声监测数据进行分析表明,烟花爆竹燃放噪声能够对声功能区环境评价参数昼间等效声级、夜间等效声级及其达标率产生较大影响。尤其是1、2类声功能区影响可使等效声级提高10dB,达标率降低3%。提示有必要把节日的燃放噪声与其他噪声分开,单独分析。     

Urban daily life routines and human exposure to environmental discomfort

This study suggests a shift in focus from studying environmental discomfort in urban strategic stations, from which average results for the city or specific results for selected sites are deduced, and from measuring environmental conditions in fixed monitoring stations to a study in which we monitor, with mobile portable sensors, the exposure of people to environmental sources of discomfort while performing their daily life activities. Significant variations in sense of discomfort were measured in this study, and almost half of this variability was found to be explained while four independent environmental variables were considered: air quality (concentrations of CO), noise level, climatic variables (thermal load), and social loads. The study conducted in the city of Tel Aviv, which suffers from hot, humid summers and cool winters, and noise levels that reach the average levels of 85 dB, and relatively lower levels of exposure to the other potential stressors. These levels of combined exposures result in moderate levels of discomfort for young, healthy people once they experience the more stressing environments in the city. It is shown also that noise from other people is the most salient source of discomfort in Tel Aviv. Levels of discomfort accumulate during the working hours, either due to the impact of social loads or noise, but the subjects showed good coping abilities that enabled them to recover in late afternoons. It seems that thermal load does not have immediate impact, but rather cumulative ones, mainly during transitional seasons when subjects are less adaptive to extreme changes in weather.     

基于耦合模型的安徽经济与环境协调发展分析

构建了经济发展与生态环境评价指标体系，选用耦合协调度模型计算2010—2019年安徽省不同区域经济发展与生态环境的耦合协调度，并采用灰色关联度法计算评价指标与耦合协调度的关联系数。研究结果表明：全省经济发展与生态环境的耦合协调度整体呈改善趋势，耦合协调度集中分布在0.393~0.765，基本处于良好协调或低水平协调阶段。全省不同区域的生态环境指数均大于经济发展指数。省会城市、沿江江南地区耦合协调度高于江淮之间和淮河以北地区。工业"三废"排放量、环境质量、环境污染治理力度是影响经济发展与生态环境耦合协调度的重要因素，建议通过改善这些方面进一步提升经济与环境的耦合协调度水平。     

Problems caused by land-misuse; the sample of Erzurum

In especially urban areas and their proximity, environmental pollution has reached a level which threatens both people and public health. Although environmental problems in Turkey have been studied for many cities, including Erzurum, no study is present combining all the environmental matters of the city with short definitions of problems it faces, therefore, this study attempts to reveal the definition of the scope and problem of pollution and land use problems in Erzurum and use of studies from developing cities elsewhere in the world for comparison of methods and solutions.     

基于GIS云平台的环境监测数据三维表征设计与应用初探

三维可视化是描绘和理解模型的一种手段,是数据体的一种表征形式。环境监测数据是空间数据场,可实现三维可视化的科学表达。监测数据的表征,可结合相关环境要素共同还原场景,以直观形象地表达环境状况的空间分布特征。不同的监测数据具有不同的特征,可分别进行表征方式的设计。通过研究水体污染、大气污染、噪声污染等数据场的三维表征设计,探索了三维可视化在深度数据挖掘、说明环境问题等方面的应用价值。     

南昌市城市噪声自动监测系统

随着社会文明和科技的进步,人们对生活、学习、工作的环境质量要求越来越高,环保部门在环境监测手段和数据综合分析技术等方面也提出了更高的要求。城市噪声自动监测系统能实时反映环境噪声状况,以便分析、掌握城市噪声污染时空分布和变化规律及趋势,在城市声环境的治理和监控中发挥有效作用。本文根据南昌市的实际情况,重点介绍了南昌市城市噪声自动监测系统。     

我国城市噪声污染现状与特征

通过对8个大城市功能区噪声监测数据的分析,阐述了我国城市噪声主要污染区域、主要超标时段、噪声时间分布及季度变化等特征,为管理部门制定噪声防治政策提供参考.     

Ambient BTX measurements in Suzhou, China

Within the Sino-Italian environmental protection cooperation framework established in 2002, a comprehensive air quality monitoring network has been developed in urban Suzhou, a medium-sized Chinese city, in compliance with European standards (Directive 96/62/EC). This paper is among the first attempts to present a systematic and scientific analysis of benzene, toluene, and xylenes (BTX) pollution in China. It presents our analysis of BTX space-related and time-related measurement results. Background BTX concentrations were investigated by passive sampler Analyst® in 2003. We depicted the spatial distribution of average BTX concentrations collected from three 15-day campaigns on isoconcentration maps. This is the first time such detailed BTX concentration maps have been developed in China in a city scale. Continuous measurement of BTX by automatic gas chromatography was carried out at two fixed monitoring stations, one in an urban residential zone and one in a heavy traffic zone, from April to December 2005. The results show similar seasonal trends at both sites, the similarities reaching their greatest level in December and their lowest level in August. The average daily profile of BTX shows greater fluctuation in spring and winter with clear morning and evening peaks. Daily average benzene, toluene, and m,p-xylenes concentrations for the study period were 2.64, 11.52, and 3.52 μg m^???3, respectively. The benzene/toluene ratio we found was lower in Suzhou than those published in studies of other worldwide cities, which indicates serious levels of toluene pollution from local stationary sources. The similarities in seasonal trend and spatial distribution in these manual and automatic measurement results were compared with each other, though the concentration values differed.     

中国1998年度环境质量状况

对我国１９９８年度的环境空气质量,酸雨,主要流域水质,近岸域海水水质,地下水水位与水质,城市声环境、射环境质量,典型区域生态环境的状况进行了综述了与分析,指出了我国的环境污染问题主要是城市空气污染,地面水体污染和城市噪声污染。