Industrial odours as environmental stressors: Exposure-annoyance associations and their modification by coping, age and perceived health

The degree of association between industrial odours and reported annoyance was investigated by means of field studies in four German cities, namely Duisburg (n = 400), Brühl (n = 539), Dortmund (n = 400) and Rodenkirchen (n = 200). The degree of odour exposure was assessed by estimating the frequency of odours by means of systematic field observations, whereas annoyance was assessed by personal interviews using standardized questionnaires. Both studies revealed highly significant associations between odour exposure and degree of annoyance. Odour annoyance was correlated with personal factors: age was negatively related to annoyance, whereas dissatisfaction with health exhibited positive associations with annoyance. Coping strategies were also associated with odour annoyance: high scores in problem-oriented coping strategies increased annoyance, whereas high scores in avoidance coping reduced annoyance. Coping strategies based upon the reduction of emotional stress were not associated with annoyance. Since none of the interaction terms of the full regression model proved significant, no true moderators were identified. In order to check for aquiescence bias, people who were interviewed personally were compared with those who could not be approached directly and who were therefore contacted by mail. Despite some significant differences in terms of gender, education, occupation, problem-oriented coping and avoidance coping, both groups did not differ in terms of annoyance.     

Dispersion of odour: a case study with a municipal solid waste landfill site in North London,United Kingdom

Municipal solid waste (MSW) landfills are a potential source of offensive odours that can create annoyance within communities. Dispersion modelling was used to quantify the potential odour strength causing an impact on the community around a particular MSW landfill site north of the London area in the United Kingdom. The case studies were completed with the short-term mode of COMPLEX-I, software developed by the US-EPA. The year 1998 was chosen as a source of baseline data. It was observed that by 2004, when the landfill will progress towards the west and a big band of the area towards the north would be partly/fully restored, the maximum contribution of the new sources giving higher odour concentrations would be in the southwesterly regions away from the landfill. Concentrations as high as 25.0 ou(E)/m(3) were observed with 3 min averaging time in the southwesterly areas as compared to concentrations of 20.0 ou(E)/m(3) at 10 min averaging times. However, the percentage frequency of such critical events occurring would be low. All other surrounding farms and small villages would be exposed to the concentration of 3.0 ou(E)/m(3) on certain occasions. In the year 2008, the majority of the filling fronts would be filled with wastes with no contributions from the active and operational cells. The maximum odour concentration around the landfill site for 1 h averaging time would be approximately 3 ou(E)/m(3) about 1.0 km north and 500 m west of the landfill site. For 3 min averaging time, the stretch of 5 ou(E)/m(3) band would be up to 2.5 km towards the north of the landfill site. It is argued that further analysis of the model calculations considering effects of wind direction, frequency of wind direction, stability of the atmosphere, selected odour threshold, integration time of the model, etc. would form a basis for calculating the separation distances of the landfill site from the surrounding community.     

Odour-impact assessment around a landfill site from weather-type classification, complaint inventory and numerical simulation

Gases released from landfill sites into the atmosphere have the potential to cause olfactory nuisances within the surrounding communities. Landfill sites are often located over complex topography for convenience mainly related to waste disposal and environmental masking. Dispersion of odours is strongly conditioned by local atmospheric dynamics. Assessment of odour impacts needs to take into account the variability of local atmospheric dynamics. In this study, we discuss a method to assess odour impacts around a landfill site located over complex terrain in order to provide information to be used subsequently to identify management strategies to reduce olfactory nuisances in the residential neighbourhoods. A weather-type classification is defined in order to identify meteorological conditions under which olfactory nuisances are to be expected. A non-steady state Gaussian model and a full-physics meteorological model are used to predict olfactory nuisances, for both the winter and summer scenarios that lead to the majority of complaints in neighbourhoods surrounding the landfill site. Simulating representative scenarios rather than full years make a high resolution simulation of local atmospheric dynamics in space and time possible. Results underline the key role of local atmospheric dynamics in driving the dispersion of odours. The odour concentration simulated by the full-physics meteorological model is combined with the density of the population in order to calculate an average population exposure for the two scenarios. Results of this study are expected to provide helpful information to develop technical solutions for an effective management of landfill operations, which would reduce odour impacts within the surrounding communities.     

Noise annoyance from industrial and road traffic combined noises: A survey and a total annoyance model comparison

The literature on noise annoyance emphasizes that acoustical factors cannot totally explain the annoyance felt by a population exposed to community noises, and that some non-acoustical factors have an effect on annoyance. This research paper deals with the annoyance caused by combined noises coming from road traffic and an industrial site. This type of combination has been very little studied to date. An in situ study was conducted in an area of a French town exposed to these two noise sources. To investigate the annoyance caused by these combined noises, the work involved both a mapping of the industrial and road traffic noises present in the survey area and a questionnaire designed to evaluate the noise annoyance experienced by residents and to identify the factors that probably influence noise annoyance. The results highlight the link between the noise levels measured and the annoyance felt by the respondents. They also show that certain non-acoustical factors have an impact on annoyance felt. Indeed, the results highlight a positive correlation between fear of industrial sites and the annoyance expressed. They also show correlations between some items to evaluate noise sensitivity and the annoyance expressed. No significant correlation has been found between annoyance and the other non-acoustical factors such as age, sex and length of residence. Finally, several total annoyance models were tested for this noise combination. Two of them, namely the strongest component model and a proposed perceptual version of the mixed model, were able to better predict total annoyance than the other tested models.     

Noise annoyance responses of middle school pupils and teachers

The present survey study had three aims: (1) to compare pupils’ and teachers’ annoyance responses to classroom noise, (2) to compare females and males responses and (3) to test annoyance models that fitted both pupils and teachers. The study included 207 pupils, aged 13–14 years, and 166 teachers, aged 21–65 years. Both pupils and teachers rated chatter as the most disturbing noise source in the classroom. In line with predictions, the teachers experienced themselves as more sensitive to noise, had poorer hearing status, and reported more intense stress symptoms than the pupils. Contrary to expectations, the teachers were more annoyed and they perceived the noise to be more unpredictable than the pupils did. The control items showed a mixed pattern. There were no overall differences between females and males annoyance responses, but females reported having more stress symptoms than males. A conceptual model was tested with structural equation models, where noise sensitivity mediated the relationship between hearing status and annoyance, which in turn affected stress symptoms. Control and predictability were tested as moderators of the relations between stress symptoms and annoyance. The data fit the conceptual model reasonable well when both samples were included in the same test.     

Municipal hotlines and automated weather stations as a tool for monitoring bad odour dispersion: the northern Negev case

Bad odours are often dispersed from chemical industries, waste dumps, sewer plants, and other facilities. They are indicative of pollution emissions from these sites and cause discomfort, apprehension, and sometimes signal the presence of health hazards. Monitoring the pollution by direct means, such as chemical analysis of ambient air, is obviously the most reliable mechanism to acquire data regarding pollution. However, this is not always possible. In this paper we report on the value of local government hotlines that record information provided by the public regarding bad odours. These data can alert the authorities to the existence of pollution and should be regarded as potentially useful when collected in conjunction with information from automated weather stations. An analysis of data from the Be'er Sheva municipality and the Ramat Negev regional council hotlines is provided. Complaints recorded by these systems were correlated with weather data from local automatic weather stations to indicate the sources of the bad odours. Wind direction was found to be highly correlated with bad odour and pollution sources, revealing consistent patterns in terms of the time of day and weather conditions.     

基于熏烟扩散模式的大气环境影响预测和评价——以湘潭县某新建炼锌厂为例

近年来,工业的快速发展导致我国环境污染不断加剧.大气环境污染是影响面最广,对人群的损害也是最直接和不可避免的污染类型.以湘潭县某新建炼锌厂工程项目为例,根据该项目区的气象环境概况,依据环评导则选取对应的大气扩散模式及恰当的有关参数,预测分析工程运营后污染源薰烟小时地面的贡献浓度,并利用预测结果分析了在熏烟情况下各污染物异常排污时,氨气对2000m处居民有严重影响,粉尘、SO2、烟尘主要表现在对工业区周围100m的影响,可见对工业区的大气环境影响预测与评价的研究具有积极的理论意义和现实意义.     

Bioreactors for treatment of VOCs and odours – A review

Volatile organic compounds (VOCs) and odorous compounds discharged into the environment create ecological and health hazards. In the recent past, biological waste air treatment processes using bioreactors have gained popularity in control of VOCs and odour, since they offer a cost effective and environment friendly alternative to conventional air pollution control technologies. This review provides an overview of the various bioreactors that are used in VOC and odour abatement, along with details on their configuration and design, mechanism of operation, insights into the microbial biodegradation process and future R&D needs in this area.     

Testing DAYCENT model simulations of corn yields and nitrous oxide emissions in irrigated tillage systems in Colorado

Agricultural soils are responsible for the majority of nitrous oxide (N(2)O) emissions in the USA. Irrigated cropping, particularly in the western USA, is an important source of N(2)O emissions. However, the impacts of tillage intensity and N fertilizer amount and type have not been extensively studied for irrigated systems. The DAYCENT biogeochemical model was tested using N(2)O, crop yield, soil N and C, and other data collected from irrigated cropping systems in northeastern Colorado during 2002 to 2006. DAYCENT uses daily weather, soil texture, and land management information to simulate C and N fluxes between the atmosphere, soil, and vegetation. The model properly represented the impacts of tillage intensity and N fertilizer amount on crop yields, soil organic C (SOC), and soil water content. DAYCENT N(2)O emissions matched the measured data in that simulated emissions increased as N fertilization rates increased and emissions from no-till (NT) tended to be lower on average than conventional-till (CT). However, the model overestimated N(2)O emissions. Lowering the amount of N(2)O emitted per unit of N nitrified from 2 to 1% helped improve model fit but the treatments receiving no N fertilizer were still overestimated by more than a factor of 2. Both the model and measurements showed that soil NO(3)(-) levels increase with N fertilizer addition and with tillage intensity, but DAYCENT underestimated NO(3)(-) levels, particularly for the treatments receiving no N fertilizer. We suggest that DAYCENT could be improved by reducing the background nitrification rate and by accounting for the impact of changes in microbial community structure on denitrification rates.     

ANNOYANCE AND COMMUNITY NOISE: PSYCHOPHYSICAL MODEL OF DOSE – RESPONSE RELATIONSHIPS

There is a paucity of theory pertaining to social surveys of annoyance and community noise. A new psychophysical model addresses data concerning resident annoyance in sites exposed to various maximum noise levels and different numbers of noise events. The best fits of this model point to the relevance of response variance for understanding the results obtained with category response scales. The argument identifies a number of psychological and physical variables that may influence annoyance reactions to community noise. Most importantly, the model suggests that the truncation inherent in category scales biases the responses, and that response variability may be critical in determining the detailed shape of the dose–response function. Regulatory decisions concerning annoyance and community noise should be more valid when based on a deeper understanding of the theoretical basis of the empirical data.     

Community opinion concerning airport noise-abatement alternatives

In the present study we examined (1) community opinion of airport noise-abating alternatives and (2) the influence of perceived control on attitudes concerning noise-abatement policies and annoyance toward aircraft noise. We proposed that residents who perceive themselves as having little control over aircraft noise exposure would express higher levels of annoyance than residents who believe they have some degree of control. Furthermore, residents with low levels of perceived control would be less favorable toward proposed noise-abatement alternatives. Survey results collected from 239 households within the 65 CNEL contour of a community airport in Southern California support these hypotheses. Findings indicate strong public support for noise abatement and strong opposition to land-use alternatives. In addition, residents' perceptions of control in the airport planning and management process are significantly related to their annoyance with noise and their opinions about noise management policies.     

Simple protocols to determine dust potentials from cattle feedlot soil and surface samples

Cattle feedlot dust is an annoyance and may be a route for nutrient transport, odor emission, and pathogen dispersion, but important environmental factors that contribute to dust emissions are poorly characterized. A general protocol was devised to test feedlot samples for their ability to produce dust under a variety of environmental conditions. A blender was modified to produce dust from a variety of dried feedlot surface and soil samples and collect airborne particles on glass fiber filters by vacuum collection. A general blending protocol optimized for sample volume (150-175 cm3), blending time (5 min of pre-blending), and dust collection time (15 s) provided consistent dust measurements for all samples tested. The procedure performed well on samples that varied in organic matter content, but was restricted to samples containing less than 200 to 700 g H2O kg(-1) dry matter (DM). When applied to field samples, the technique demonstrated considerable spatial variability between feedlot pen sites. Mechanistically, dust potential was related to moisture and organic matter content. An alternative protocol also demonstrated differences within pen sites in maximum dust potential and dust airborne residence time. The two protocols were not intended, nor are they suitable, for predicting actual particulate matter emissions from agricultural sources. Rather, the protocols rapidly and inexpensively compared the potential for dust emission from samples of differing composition under a variety of environmental conditions.     

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.     

Community energy plans in Canadian cities: success and barriers in implementation

Climate change and sustainable development concerns have motivated some municipalities in Canada to develop community energy plans, which focus on energy needs at the local level for the development of efficient, economical and environmental energy systems. Five Canadian cities that were early adopters of community energy planning principles were studied to assess whether implementation has occurred and what barriers have been experienced. The cities achieved success in the implementation of energy management in municipal operations despite barriers in jurisdiction, perception of cost, communication and capacity, but energy management in the community had not been fully implemented and long-term changes were not prevalent. While reductions were made in the greenhouse gas (GHG) emissions produced by municipal operations, the community's overall GHG emissions were not significantly reduced. Long-term impacts on a city's function and growth will be key if community energy planning is to significantly impact community-wide GHG emissions and energy use.     

Community noise problems: Evidence against adaptation

It is commonly believed that people adapt rather easily to noise. This article reviews the available research, finding little evidence that any adaptation occurs in community settings. Much of this research, however, is open to alternative interpretations. The present study, examining reactions to traffic noise from the opening of a major new highway, was designed to remedy many of the problems with previous research. The investigation incorporated both a repeated measures design (the same respondents were interviewed 4 and 16 months after the highway opening) and an independent groups design (separate groups were interviewed either 4 or 16 months after opening). In addition, a pre-opening interview was carried out with the repeated measures panel. There was no evidence of appreciable adaptation in self-reported noise effects, annoyance, or tendency to focus attention on the noise. Instead respondents became more pessimistic about their ability to adapt to noise as time went by.     

Structural and technological changes of greenhouse gas emissions during the transition period in Polish industry

We analyzed the patterns of energy use and greenhouse gas (GHG) emissions in Polish industry arising during the transition from a centrally planned economy to a market economy. A method of analyzing industry energy use and GHG emissions is discussed. Using this method, the impact of changes in industrial production value, the share of specific industry branches in the total industrial production, energy intensity, and the mix of the energy carriers in the 1989–1993 period has been analyzed. The last year of the analyzed period shows favorable trends in efficiency and signs of production structure shift to a less energy-intensive one. Economic reform implemented after 1989, which released energy carriers' prices from government control, had important effects on the industrial sector. Energy efficiency and emission intensity trends of 1992–1994 were favorable; if they continue, production will return to 1989 levels with much lower energy consumption and significantly decreased GHG emissions.

     

Worst case scenario study to assess the environmental impact of amine emissions from a CO2 capture plant

Use of amines is one of the leading technologies for post-combustion carbon dioxide capture from gas and coal-fired power plants. This study assesses the potential environmental impact of emissions to air that result from use of monoethanol amine (MEA) as an absorption solvent for the capture of carbon dioxide (CO₂). Depending on operation conditions and installed reduction technology, emissions of MEA to the air due to solvent volatility losses are expected to be in the range of 0.01–0.8 kg/tonne CO₂ captured. Literature data for human and environmental toxicity, together with atmospheric dispersion model calculations, were used to derive maximum tolerable emissions of amines from CO₂ capture. To reflect operating conditions with typical and with elevated emissions, we defined a scenario MEA-LOW, with emissions of 40 t/year MEA and 5 t/year diethyl amine (DEYA), and a scenario MEA-HIGH, with emissions of 80 t/year MEA and 15 t/year DEYA. Maximum MEA deposition fluxes would exceed toxicity limits for aquatic organisms by about a factor of 3–7 depending on the scenario. Due to the formation of nitrosamines and nitramines, the estimated emissions of DEYA are close to or exceed safety limits for drinking water and aquatic ecosystems. The “worst case” scenario approach to determine maximum tolerable emissions of MEA and other amines is in particular useful when both expected environmental loads and the toxic effects are associated with high uncertainties.     

邻避设施导致的资产损失评估研究——以南京市为例

随着居民环境和公众维权意识的提高,邻避冲突会逐步从感性的情绪表达过渡到理性的利益诉求。选择房地产作为度量邻避设施导致的资产损失的媒介,基于双重差分模型构建了邻避设施导致的资产损失评估方法。以南京市为例,选择55个有效住宅社区1980个样本作为处理组,选择25个商圈住宅社区900个样本作为对照组,研究了化工厂、污水处理厂、公墓和监狱四种典型邻避设施对周边资产价格的影响。研究发现:不同邻避设施对周边资产影响不同;化工厂、监狱、公墓和污水处理厂的影响程度依次为302、284、194和180;区域繁华因素等可以消除邻避设施的部分影响;邻避设施周边资产的市场表现仅满足"上涨时涨得少",而不满足"下跌时跌得多"的特点。     

Taking Venezuela back to the sustainability path: The role of financial development and economic integration in low‐carbon transition

Environmental protection and sustainable development are connected. Such connection is considered highly important for Venezuela, where fossil fuel abundance has created economic and environmental challenges. Surprisingly, only limited attention has been directed to identifying policy options for charting the path to sustainable development in the economy. Contributing to filling this gap in the literature, this study examines whether financial development, de facto and de jure conditions in trade and financial integration can trigger long‐term economic shifts that will change the trajectory of carbon dioxide (CO₂) emissions in the economy using a novel estimation approach—dynamic simulations of autoregressive distributed lag (ARDL) models. The empirical modelling framework incorporates the impact of population, economic growth, energy intensity and government consumption expenditure. ARDL‐bounds test provides evidence that the variables are cointegrated. Long‐run estimates from the dynamic ARDL analysis show that de facto and de jure conditions in trade and financial components of economic integration offer varied policy options for carbon mitigation in Venezuela. Population size, energy intensity, government consumption expenditure and de facto condition in financial integration have increasing impact on CO₂ emissions, exacerbating suitability challenges in the economy. On the other hand, positive shocks in financial development, de facto condition in trade integration and de jure condition in financial integration have a mitigation effect on CO₂ emissions. Overall, financial development, trade integration and the control of cross‐border financial flows are needed economic conditions that can accelerate a quick transition to a low‐carbon develpoment in Venezuela.