Community modelling: a tool for correlating estimates of exposure with perception of odour from municipal solid waste (MSW) landfills

Odours from municipal solid waste landfills have the potential to cause significant annoyance and impact to amenity in the environment surrounding sites. In order to assess the impact of odorous emissions on surrounding communities a quantitative model to predict annoyance was developed. The overall objective of this research was to develop the major components of the model namely, assessment of odorous emissions, dispersion and reception by the surrounding community around the landfill site. This study used community modelling as a tool to find a link between dispersion and perception of odour. The research completed a year-round monitoring program engaging people within the local community as regular odour monitors. Estimates of exposure from dispersion analysis were used to compare incidents causing complaint and intensity-concentration plots were fitted for each monitor whose reports were found to be logically consistent with regard to the intensity scaling. Human responses to the vast range of odour intensities, from highly intense source odours through to less intense dispersed odours at monitors' locations, were found to differ greatly. It was observed that the psychophysical models based on the Weber-Fechner law and Power law fitted the data consistently well for the entire range of the intensity scale used, 1-7. However, the other two models, based on Beidler's law and Laffort's equation showed an inconsistency with the intensity scales >3.     

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.     

Photochemical model evaluation of the surface ozone impact of a power plant in a heavily industrialized area of southwestern Spain

The characterization and evaluation of the impact that an industry is likely to have on the surrounding ozone levels is one of many problems confronting air quality managers and should be taken into consideration when authorizing its installation. The correct management of an environment, in terms of monitoring existing industries and planning new activities, requires adequate knowledge of the processes sustained by the industrial emissions therein.This paper explores the improvements in air quality management arising from taking into account the uncertainties involved in the photochemical modeling of the impact of an industry on surface ozone levels.For this, we evaluate the impact on ozone levels of a power plant located in an industrial area of southwestern Spain (Huelva). The evaluation takes into account the effects of both emissions' uncertainty and the non-linear chemistry between ozone and its precursors, thus providing a probable range of increase over the normative values (hourly and 8-hourly maximums) defined in the European Directive. The proposed methodology is easily applicable by air quality managers.Advanced modeling techniques were used for the power plant assessment, MM5 atmospheric modeling system, and air quality model CAMx. The results from meteorology and ozone forecasts have shown acceptable agreement with the observations.The spatial distribution of the impact is found to be strongly determined by mesoscale meteorological processes, which are reinforced by the local orography; there is also a marked temporal evolution. The industrial plume is observed to induce a decrease (or maintenance) of the ozone levels near the emission source (0–10 km), and an increase in the ozone concentrations farther away (with maximums between 10 and 50 km). In fact, in the meteorological episodes with a predominance of local breeze circulations, impacts have been detected at distances of more than 100 km from the emission source.Sensitivity of the power plant impact to variations in ozone precursor emissions is described, and the scenarios and the points in the domain presenting higher sensitivity and registering larger impacts are also identified. The results show that the largest impacts take place in emission scenarios where the NO_x has been reduced with respect to the base case scenario. In contrast, in scenarios where the VOC emissions are reduced with respect to the base case scenario, the impact is smaller or remains unchanged. This is important in areas like the study case, where there is a high percentage of biogenic VOC emissions and the industrial areas are close to natural protected areas and agricultural fields.     

An approach for integrating economic impact analysis into the evaluation of potential marine protected area sites

Marine protected areas (MPAs) are one tool that can be used in the comprehensive management of human activities in areas of the ocean. Although researchers have supported using MPAs as an ecosystem management tool, scientific research on MPAs in areas other than fisheries and fisheries management is limited. This paper presents a model for designing marine protected areas that protect important components of the ecosystem while minimizing economic impacts on local communities. This model combines conservation principles derived specifically for the marine environment with economic impact assessment. This integrated model allows for consideration of both fishery and non-fishery resources and activities such as shipping and recreational boating. An illustration of the model is presented that estimates the total economic impacts on Massachusetts' coastal counties of restricting fishing and shipping at certain sites in an area in the southern Gulf of Maine. The results suggest that the economic impacts on the region would differ according to the site in which shipping and fishing were restricted. Restricting activities in certain sites may have considerable impacts on local communities. The use of the model for evaluating and comparing potential MPA sites is illustrated through an evaluation of three different policy scenarios. The scenarios demonstrate how the model could be used to achieve different goals for managing resources in the region: protecting important components of the ecosystem, minimizing economic impacts on the local region, or a combination of the two.     

New York City Environmental Justice Alliance Waterfront Justice Project

This paper reviews key challenges and opportunities addressed by the New York City Environmental Justice Alliance's (NYC-EJA) Waterfront Justice Project, a citywide campaign to promote climate resilience and sustainability in urban industrial waterfront communities of New York City. NYC-EJA is a non-profit membership-driven network linking grassroots organisations from low-income neighbourhoods and communities of colour in their struggle for environmental justice. The Waterfront Justice Project is documenting community vulnerability in the context of climate change impacts, sources of industrial pollution, and demographic and socio-economic trends. This campaign is enabling community-based organisations, environmental justice communities, city planners, local and state government agencies, local business-owners, and other stakeholders to work in partnership to achieve community resilience while advocating for local jobs and promoting best practices in pollution prevention. New York City's waterfront policies ease the siting and clustering of public infrastructure, water pollution control plants, waste transfer stations, energy facilities, and heavy manufacturing uses in six areas designated as Significant Maritime and Industrial Areas (SMIAs). The SMIAs are located in environmental justice communities, largely low-income communities and communities of colour, in the South Bronx, Brooklyn, Queens, and Staten Island. New York City's local waterfront land use and zoning policies create cumulative risk exposure not only to residents and workers in the host waterfront communities, but also, in the event of storm surge or sea-level rise, to neighbouring, upland communities.     

An analysis of future platinum resources,emissions and waste streams using a system dynamic model of its intentional and non-intentional flows and stocks

Platinum is increasingly used intentionally and non-intentionally in several applications. This has raised the concern about its future resources, emissions and losses during its life cycle. On the one hand, increasing platinum emissions might affect human health. On the other hand, the accumulated platinum in mineral waste, soil, landfill sites and construction materials as a result of the emissions, losses and the utilization of secondary materials can be seen as potential resources for platinum. This paper is aimed at (1) analyzing the long term impacts of the use of platinum intentionally and non-intentionally on its future demand and supply, release to the environment and accumulation in mineral waste, soil, landfill sites and construction materials and (2) quantifying the amount of platinum in secondary materials that would be available for platinum future supply. The analysis is carried out on a global level using a system dynamic model of platinum intentional and non-intentional flows and stocks. The analysis is based on four scenarios for the introduction of fuel cell vehicles (FCVs). The results show that platinum demand is increasing overtime in all scenarios at different rates and its identified resources are expected to deplete before the end of the century with or without the introduction of FCVs. The release of platinum to the environment and the accumulation in soil are expected to decrease when conventional ICE vehicles is replaced by FCVs. The amount of platinum accumulated in mineral waste, soil, landfill sites and construction materials by the time platinum is depleted are more than double its identified resources and would be potential resources for platinum that are available in different parts of the world. The methodology presented in this paper can be used in the assessment of other technologies and other metals.     

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.     

A cost and benefit analysis of future end-of-life vehicle glazing recycling in France: A systematic approach

As with other European countries, the French automotive industry needs to improve the end-of-life vehicle (ELV) recycling rate in order to reach the minimum reuse and recovery rate required by EU directives. This paper proposes a model to investigate the potential cost and benefit of ELV glazing recycling for all value-chain stakeholders, and for the network as a whole. Key parameters of future changes, namely glass cullet price, landfill cost, network coverage and transportation costs are identified at the level of field research. A system dynamics approach is then used to simulate the net economic balance of the recycling network under different future scenarios. The simulation reveals an increase in the income and considerable cost savings as a result of the recycling network in some of future scenarios.     

Spatially identifying vulnerable communities to climate change impact in South Australia

The impending form and extent of climate change and its direct impacts present disproportionate challenges for the most socially and economically disadvantaged groups within populations. Evaluating the vulnerability of disadvantaged groups in the context of climate change has presented tremendous theoretical, methodological and policy challenges especially where vulnerability assessment research is focused at the local community level. This study addresses the challenges by developing an interdisciplinary methodology, based on expert knowledge, and uses the state of South Australia as a case study. It focuses on key indicators that measure the exposure of local communities to climate change and socio-economic vulnerabilities of local populations. A main contribution in this study is the novel incorporation of physical, environmental and socio-demographic data sets and extensive use of spatial modelling and estimation methods to spatially define climate change and social vulnerability “hot spots”. This paper assesses vulnerability under moderate and high Intergovernmental Panel on Climate Change CO₂ emission scenarios in order to generate an assessment model to be used before planning is done. The result is the creation of a practical tool through which decision-makers can better understand how the complexity of one's local spatial context influences the unique exposure, which different vulnerable communities have, to the impacts of climate change. This paper presents a useful tool that can be used in the initial assessment phase by planners and policy-makers to better assist those who are limited in their ability to adapt to climate change.     

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.     

Double exposure and the climate gap: changing demographics and extreme heat in Ciudad Juárez,Mexico

Scholars have recognised a climate gap, wherein poor communities face disproportionate impacts of climate change. Others have noted that climate change and economic globalisation may mutually affect a region or social group, leading to double exposure. This paper investigates how current and changing patterns of neighbourhood demographics are associated with extreme heat in the border city of Juárez, Mexico. Many Juárez neighbourhoods are at-risk to triple exposures, in which residents suffer due to the conjoined effects of the global recession, drug war violence, and extreme heat. Due to impacts of the recession on maquiladora employment and the explosion of drug violence (2008–2012), over 75% of neighbourhoods experienced decreasing population density between 2000 and 2010 and the average neighbourhood saw a 40% increase in the proportion of older adults. Neighbourhoods with greater drops in population density and increases in the proportion of older residents over the decade are at significantly higher risk to extreme heat, as are neighbourhoods with lower population density and lower levels of education. In this context, triple exposures are associated with a climate gap that most endangers lower socio-economic status and increasingly older-aged populations remaining in neighbourhoods from which high proportions of residents have departed.     

Exploring the perceived impacts of a public high school closure for urban liveability in a Canadian midsized city

ABSTRACT

Public schools are more than educational institutions; they are essential to creating liveable neighbourhoods. Despite their importance, public schools are being permanently closed across North America, and particularly in the Canadian province of Ontario. In 2015, one of Ontario's public school boards made the decision to permanently close the province's oldest public high school, located in the urban core of the historic midsized city of Kingston. While the school is not scheduled to close until late 2019, the established fate of this prominent public asset has important consequences for the liveability of Kingston's urban core. Accordingly, the objective of this study was to document residents’ perceived impacts of the decision to close to Kingston Collegiate Vocational Institute (KCVI) on liveability in the school's catchment area. We observed widespread dissatisfaction with the decision to close KCVI (85%), with large proportions of respondents (above 40%) anticipating KCVI's closure to negatively impact neighbourhood liveability in various ways in the future. Approximately one-quarter of respondents indicated that they have considered moving as a result of the decision, and among these, concerns about negative impacts to household-level well-being were particularly acute. Given the socio-demographic profile of respondents who have considered moving, these findings suggest that the closure of KCVI could have a destabilising effect on the neighbourhoods within the KCVI catchment area by driving families out of the city's urban core. Our findings suggest that policies to address concerns of under-enrolment are short-sighted and undermine efforts of other sectors to promote liveable communities.     

AERMOD模型在大气环境影响评价中的应用

通过实例,对AERMOD在大气环境影响评价中的应用进行讨论。根据2007年1月～12月达州市地面和高空气象数据、项目所在地的地形资料,应用AERMOD预测模型建立了空气扩散模型,对工程的大气环境影响进行了预测与评价。结果表明:AERMOD空气扩散模型实现了评价区域二维地形向三维地形的可视化转变,预测浓度分布能够反映出污染源分布和气象场变化以及地形等对大气污染物迁移和扩散的影响。     

Social, economic, and ecological impacts of the "Grain for Green" project in China: a preliminary case in Zhangye, Northwest China

This paper provides applications of the integrated assessment (IA) approach in a case study in the Heihe River Basin of Northwest China. Some socio-economic and ecological impact results of forestry land use scenarios are presented in the paper. While seven types of land use scenarios for carbon sequestration purposes were considered for the IA applications, this paper mainly presents impacts of land use scenarios within the Grain for Green (GFG) category [see Yin et al., this volume]. China's national Grain for Green Project was implemented in order to protect and improve ecosystems, while allowing an evolution of agricultural management practices compatible with raising peasants' incomes. Zhangye Prefecture, located in the Heihe River Basin of an arid area in Northwest China, was chosen as the investigation site of the IA case study. Based on fundamental orientation theory, the social sustainability impacts of GFG land use options were assessed. Between 2002 and 2004, the GFG project brought US$23.56 million yuan in net income to the prefecture's peasants. Project implementation resulted in a 1.71 Gg increase in net primary productivity (NPP), as well as a 44.36 Gg rise in net ecosystem productivity (NEP). This suggested that, in Zhangye Prefecture, the Grain for Green Project could enhance the sustainability and stability of the local society, increase peasants' net income, as well as protect and remediate local ecosystems.     

Host community attitudes towards solid waste landfill infrastructure: comprehension before compensation

One of the most controversial planning issues internationally is the siting of waste disposal infrastructure in local communities. Compensation is viewed as a possible solution to siting difficulties in many countries. However, existing empirical evidence is conflicting as to whether or not compensation-based siting has reduced opposition to such developments. Thus, before compensation policy can be considered as the solution for recognising social costs and introducing equity into the waste planning system, it is important to understand why people reject waste disposal infrastructure developments and if this rejection continues over the lifetime of facility operations. This paper utilises information gathered through surveys to examine the effects of distance, local authority consultation efforts, experience and other factors, on attitudes towards non-hazardous solid waste landfill developments in two examples of a potential and actual host communities. Our findings suggest distance proxies expectations of environmental risk in communities with no experience of living with landfill infrastructure. Community consultations by authorities are consistently important, even after a landfill has been in operation for a number of years. This suggests to policy makers to consult thoroughly and adequately before pursuing compensation policies.     

Air Pollution Potential: Regional Study in Argentina

/ Air pollution potential is a measure of the atmospheric conditions that are unable to transport and dilute pollutants into the air, independently of the existence of sources. This potential can be determined from two atmospheric parameters: mixing height and transport wind. In this paper a statistical analysis of the mixing height and transport wind, in order to determine the areas with high or poor atmospheric ventilation in Argentina, is presented. In order to achieve this, meteorological data registered during 1979-1982 at eight meteorological stations were used. Daily values of the maximum mixing height were calculated from observations of daily temperatures at different heights and maximum surface temperature. At the same time as the maximum mixing height, the values of the transport wind were determined from the surface windspeed and the characteristics of the ground in the surroundings of each meteorological station. The mean seasonal values for both parameters were obtained. Isopleths of the mean seasonal of the maximum mixing heights were drawn. The percentage of seasonal frequencies of poor ventilation conditions were calculated and the frequency isopleths were also drawn to determine areas with minor and major relative frequencies. It was found that the northeastern and central-eastern regions of Argentina had a high air pollution potential during the whole year. Unfavorable atmospheric ventilation conditions were also found in the central-western side of the country during the cold seasons (37.5% in autumn and 56.9% in winter). The region with the greatest atmospheric ventilation is located south of 40 degrees S, where the frequency of poor ventilation varies between 8.0% in summer and 10.8% in winter.     

A double‐edged sword: Realities of artisanal and small‐scale mining for rural people in the Alaotra region of Madagascar

A growing number of people are entering the artisanal and small‐scale mining (ASM) sector worldwide. In Madagascar, millions of individuals depend on this informal activity. Through a case study in the Alaotra‐Mangoro region of Madagascar, our research aimed to understand the “bottom‐up” dynamics and ripple effects of the sector, by looking at the realities for rural communities where inhabitants are both directly and indirectly affected by ASM. We were interested in community members' and miners' perceptions of the socio‐economic and environmental impacts of ASM, and in identifying the factors attracting people living in one of the country's agricultural hubs to this activity. Our results show a wide diversity of push and pull factors leading people to enter the sector. Although many positive impacts of ASM exist for miners and communities within the vicinity of mines, most miner participants considered themselves worse off since starting to mine, highlighting the high risk and low probability of return of ASM. ASM's potential for local and national development will remain squandered if its negative impacts continue to go unmanaged. Accounting for local contexts and the ripple effects of ASM will be crucial in achieving safety and security for miners, and to tap into the benefits it may offer communities while minimising environmental damage.     

Public opinion and solid waste in Bangkok

The problems encountered when seeking suitable locations for landfill sites often include public concern over the potential visual, health and environmental impacts. There have been many attempts to predict the response of residents in an area to a proposed landfill site and suggestions of ways to adequately consult and include the local population in the decision-making process. An alternative approach is described in this article where the residents living in the vicinity of a landfill site in Bangkok were asked how much they would be willing to pay for the landfill site to be closed and the waste taken out of the city. The method used, the contingent valuation method, can provide information on how much people value environmental goods and services. The use of the technique in this instance provided an estimate of the costs of the disamenity effects of the landfill site to the local residents.     

Neighbourhood characteristics and urban gardens in the Toledo metropolitan area: staffing and voluntarism,food production,infrastructure, and sustainability practices

Urban gardens are important sources of sustenance for communities with limited access to food. Hence, this study focuses on food production in gardens in the Toledo metropolitan area in Northwest Ohio. We administered surveys to 150 garden managers from November 2014 to February 2015 in our attempt to better understand how neighbourhood racial composition and poverty levels are related to staffing and voluntarism, food production and distribution, the development of infrastructure, and the adoption of sustainability practices in urban gardens. The results from 30 gardens are presented in this paper. We used Geographic Information Systems to map the gardens and overlay the map with 2010 census data so that we could conduct demographic analyses of the neighbourhoods in which the gardens were located. Though the gardens were small – two acres or less – up to 46 varieties of food were grown in a single garden. Gardens also operated on small budgets. Food from the gardens was gifted or shared with friends, family, and neighbourhood residents. Gardens in predominantly minority neighbourhoods tended to have fewer institutional partners, less garden infrastructure, and had adopted fewer sustainable practices than gardens in predominantly White neighbourhoods. Nonetheless, residents of predominantly minority and high-poverty neighbourhoods participated in garden activities and influenced garden operations. Volunteering and staffing were racialised and gendered.     

MODELING THE IMPACTS OF WATER LEVEL CHANGES ON A GREAT LAKES COMMUNITY1

ABSTRACT: Recent research that couples climate change scenarios based on general circulation models (GCM) with Great Lakes hydrologic models has indicated that average water levels are projected to decline in the future. This paper outlines a methodology to assess the potential impact of declining water levels on Great Lakes waterfront communities, using the Lake Huron shoreline at Goderich, Ontario, as an example. The methodology utilizes a geographic information system (GIS) to combine topographic and bathymetric datasets. A digital elevation surface is used to model projected shoreline change for 2050 using water level scenarios. An arbitrary scenario, based on a 1 m decline from February 2001 lake levels, is also modeled. By creating a series of shoreline scenarios, a range of impact and cost scenarios are generated for the Goderich Harbor and adjacent marinas. Additional harbor and marina dredging could cost as much as CDN $7.6 million. Lake freighters may experience a 30 percent loss in vessel capacity. The methodology is used to provide initial estimates of the potential impacts of climate change that can be readily updated as more robust climate change scenarios become available and is adaptable for use in other Great Lakes coastal communities.