Pollution Impact Assessment Research Articles

Health impact assessment of air pollution using a dynamic exposure profile: Implications for exposure and health impact estimates

In both ambient air pollution epidemiology and health impact assessment an accurate assessment of the population exposure is crucial. Although considerable advances have been made in assessing human exposure outdoors, the assessments often do not consider the impact of individual travel behavior on such exposures.Population-based exposures to NO2 and O3 using only home addresses were compared with models that integrate all time-activity patterns—including time in commute—for Flanders and Brussels. The exposure estimates were used to estimate the air pollution impact on years of life lost due to respiratory mortality.Health impact of NO2 using an exposure that integrates time-activity information was on average 1.2% higher than when assuming that people are always at their home address. For ozone the overall estimated health impact was 0.8% lower. Local differences could be much larger, with estimates that differ up to 12% from the exposure using residential addresses only. Depending on age and gender, deviations from the population average were seen.Our results showed modest differences on a regional level. At the local level, however, time-activity patterns indicated larger differences in exposure and health impact estimates, mainly for people living in more rural areas. These results suggest that for local analyses the dynamic approach can contribute to an improved assessment of the health impact of various types of pollution and to the understanding of exposure differences between population groups.

Assessment of pollution impact on biological activity and structure of seabed bacterial communities in the Port of Livorno (Italy)

The main objective of this study was to assess the impact of pollution on seabed bacterial diversity, structure and activity in the Port of Livorno. Samples of seabed sediments taken from five selected sites within the port were subjected to chemical analyses, enzymatic activity detection, bacterial count and biomolecular analysis. Five different statistics were used to correlate the level of contamination with the detected biological indicators. The results showed that the port is mainly contaminated by variable levels of petroleum hydrocarbons and heavy metals, which affect the structure and activity of the bacterial population. Irrespective of pollution levels, the bacterial diversity did not diverge significantly among the assessed sites and samples, and no dominance was observed. The type of impact of hydrocarbons and heavy metals was controversial, thus enforcing the supposition that the structure of the bacterial community is mainly driven by the levels of nutrients. The combined use of chemical and biological essays resulted in an in-depth observation and analysis of the existing links between pollution macro-indicators and biological response of seabed bacterial communities.

中国セメント産業のライフサイクルにおける主な大気汚染物質及びCO<sub>2</sub>排出量の推計と環境影響評価：CML手法を用いた地域別の比較分析を中心に

中国セメント産業のライフサイクルにおける主な大気汚染物質及びCO<sub>2</sub>排出量の推計と環境影響評価：CML手法を用いた地域別の比較分析を中心に

Assessment of Traffic Noise Pollution Impact of Residential/Commercial Development

This paper the findings of an environmental impact study aimed at determining traffic-generated noise pollution impact of new Township Redevelopment Project in Ahmadi, Kuwait. The specific objectives of the study were no measure traffic flow variables; Traffic-generated noise; examine and compare noise pollution compliance with the EPA standards; and recommend mitigation measures. Eight representative roadway locations were systematic – randomly selected for monitoring traffic flow and noise levels. At each monitoring site, the study variables were monitored during six daily peak periods. In addition, data were also collected on atmospheric conditions – temperature, wind velocity and direction and humidity for each monitoring day.

Health Impact Assessment of Fine Particle Pollution at the Regional Level

Since the year 2000, evaluation of the impact of air pollution on people's health has drawn the attention of the general public and has led decision-makers to develop specific health policies. In most of the health impact assessment literature, investigators have reported on long- and short-term effects of air pollution. Here the authors present results of a health impact assessment of short-term effects of particulate matter ≤10 μm in diameter (PM(10)) in the Lombardy region of Italy (2003-2006). The impact was evaluated in terms of numbers of attributable deaths under several counterfactual scenarios of air pollution reduction based on World Health Organization guidelines and European Union limits. The authors found that annual average PM(10) levels exceeding the World Health Organization threshold of 20 μg/m(3) and the European Union limit of 40 μg/m(3) were responsible for 302 and 109 attributable deaths per year, corresponding to attributable community rates of 13 and 5 deaths per 100,000 inhabitants per year, respectively. A 20% reduction in existing PM(10) levels could reduce by more than 30% the burden of short-term deaths linked to ambient air pollution. Therefore, policies for air pollution reduction appear to be necessary in order to protect and improve individual and community health.

Environmental impact assessment of particulate pollution on some fruit trees of the Kashmir Himalayas

A study carried out to assess the impact of particulate pollution on some selected fruit trees of Kashmir valley, viz., Malus × domestica Borkh. var. ‘American Apirouge’, Malus × domestica Borkh. var. ‘White Dotted Red’, Pyrus communis L. var. ‘Bartlett’, Prunus dulcis Mill. var. ‘Local’ growing under ambient field conditions around a cement kiln has shown that foliar photosynthetic pigments (chlorophyll-a, -b, total chlorophyll, chlorophyll-a/b ratio and carotenoids), N, P, carbohydrate as well as ascorbic acid contents exhibited a severe decline under pollution stress. However, K and proline contents of the foliage exhibited increased levels in the same environmental set-up. The results also show that various fruit morphological characters (viz., fruit length, diameter and firmness), as well as other characteristics like total soluble solids, total sugars, ascorbic acid and acidity of the pome fruits suffered significantly greater reductions under the impact of cement dust pollution. Similarly, in nut fruit Prunus dulcis the average weight of the nut and kernel, % shelling, moisture, protein, carbohydrate, ash and fat content also suffered severe losses under pollution stress. The yield of fruits (tons ha-1) also suffered greater losses, the maximum being observed in P. × communis var. ‘Bartlett’ (40%) followed by P. dulcis var. ‘Local’ (28.57%), M. × domestica var. ‘American Apirouge’ (18.51%) and least in M. × domestica var. ‘White Dotted Red’ (15%). The analysis of the soil has revealed that, except available N, all other parameters, viz., pH, Ec, available P and K, exchangeable Ca and Mg as well as Fe and Al recorded higher values in the polluted soil compared to control.

Cell-based electrochemical biosensors for water quality assessment

During recent decades, extensive industrialisation and farming associated with improper waste management policies have led to the release of a wide range of toxic compounds into aquatic ecosystems, causing a rapid decrease of world freshwater resources and thus requiring urgent implementation of suitable legislation to define water remediation and protection strategies. In Europe, the Water Framework Directive aims to restore good qualitative and quantitative status to all water bodies by 2015. To achieve that, extensive monitoring programmes will be required, calling for rapid, reliable and cost-effective analytical methods for monitoring and toxicological impact assessment of water pollutants. In this context, whole cell biosensors appear as excellent alternatives to or techniques complementary to conventional chemical methods. Cells are easy to cultivate and manipulate, host many enzymes able to catalyse a wide range of biological reactions and can be coupled to various types of transducers. In addition, they are able to provide information about the bioavailability and the toxicity of the pollutants towards eukaryotic or prokaryotic cells. In this article, we present an overview of the use of whole cells, mainly bacteria, yeasts and algae, as sensing elements in electrochemical biosensors with respect to their practical applications in water quality monitoring, with particular emphasis on new trends and future perspectives. In contrast to optical detection, electrochemical transduction is not sensitive to light, can be used for analysis of turbid samples and does not require labelling. In some cases, it is also possible to achieve higher selectivities, even without cell modification, by operating at specific potentials where interferences are limited.

Impact assessment of pollution in some lake water located at and around Thane City of Maharashtra, India: physico-chemical properties and toxic effects of heavy metal content

Most of the fresh water bodies all over the world are getting polluted day by day, which has become a burning issue of present time. Hence their regular monitoring is crucial for the well-being and health of the surrounding population. Therefore in the present investigation, we carried out a systematic study to estimate the physico-chemical parameters and level of toxic heavy metal content in the Jail Talav and Kalwa Lakes of Thane City of the Indian State of Maharashtra. The toxic heavy metal content and physico-chemical parameters studied in the present investigation were found to be very much above the permissible limits, thereby making lake water harmful to the aquatic life and unsuitable for drinking/irrigation purpose. These heavy metals have a marked effect on the aquatic flora and fauna which through biomagnification enter the food chain and ultimately affect the human beings as well.

Health impact of urban air pollution in Belgium

Health impact assessment (HIA) of air pollution was performed in three Belgian cities using APHEIS methodology, in the framework of the Belgian NEHAP. The urban agglomerations of Liege, Antwerp, and Brussels were chosen, totalling together two million inhabitants. HIA was calculated using either measured or interpolated populated weighted air data. We estimated the annual number of deaths in 2004 attributed to acute, subacute, and chronic exposure to PM10 above 20 μg/m³, the PM10 target value defined in the EU directive (1999/30/EC). For the three cities combined, 5.5% of the mortality is attributable to PM10 concentrations higher than the reference level. The differences between the three cities were not significant. The impact of ozone (reference, above 120 μg/m³) was limited.

A molecular approach for the impact assessment of fecal pollution in river ecosystems

Microbiological indicators such as Escherichia coli and Enterococci are commonly used to detect fecal pollution and presence of other pathogens, in the monitoring programs of sanitary surveillance of freshwater ecosystems. Clostridium perfringens (spores) is suggested as an alternative fecal indicator, it provides evidence of historical fecal contamination. This work aims at assessing the genetic variability of the anaerobic microbial community in river sediments and its relation to different fecal pollution sources. This can be obtained through a combined approach involving microbiological and molecular (16S rRNA) tools of isolated bacteria. The study was conducted on the river systems Foglia, Tevere, Astura, and Sitzerri located in three Italian regions. The frequencies of observed haplotypes proved to be remarkably different in the four sampling areas. The phylogenetic relationships among the species obtained from the comparison of the different genetic sequences made it possible to identify six homogeneous clusters, among which, five were attributed to the genus Clostridium and one to the genus Bacillus. The results of this study suggest a possible relation between different typologies of impacts and the presence of particular species of anaerobes. The research for sulfite reducing clostridia in river sediments could therefore have an essential role in the query for complete information on the quality state of river ecosystems.

Summary of the workshop on methodologies for environmental public health tracking of air pollution effects

The US Centers for Disease Control and Prevention established the Environmental Public Health Tracking (EPHT) program to support state and local projects that characterize the impact of the environment on health. The projects involve compiling, linking, analyzing, and disseminating environmental and health surveillance information, thereby engaging stakeholders and guiding actions to improve public health. One of the EPHT objectives is to track the public health impact of ambient air pollution with analyses that are timely and relevant to state and local stakeholders. To address methodological issues relevant to this objective, in January 2008, government officials and researchers from the USA, Canada, and Europe gathered in Baltimore, Maryland for a 2-day workshop. Using commissioned papers and presentations on key methodological issues as well as examples of previous air pollution impact assessments, work group discussions produced a set of consensus recommendations for the EPHT program. These recommendations noted the need for data that will encourage local stakeholders to support continued progress in air pollution control. The limitations of using only local data for analyses were also noted. To improve local estimates of air pollution health impacts, methods were recommended that “borrow strength” from other evidence. An incremental approach to implementing such methods was recommended. The importance and difficulty of communicating uncertainties in local health impact assessments was emphasized, as was the need for coordination among different agencies conducting health impact assessments.

Impact assessment of heavy metals pollution of Vartur lake, Bangalore

The unscientific disposal of wastes and pollution in urban water bodies has caused immense problems not only to human beings but also to the aquatic biodiversity. Assessment of heavy metals in Vartur Lake, Bangalore, revealed that Cadmium (Cd), Cobalt (Co), Chromium (Cr), Nickel (Ni), and Lead (Pb) all exceeded drinking water standards. Nevertheless, Chromium (Cr) exceeded the CPCB’s tolerance limits for water bodies subjected to effluent discharge. In Eichornia crassipes, Cd, Co, Cr, and Ni were critical. In the sediments, Cadmium (Cd) and Nickel (Ni) exceeded the Probable Effect Level (PEL). Sediment Geo-accumulation Index of the lake showed moderate contamination with Mn, Cu, and Pb. Cr had the highest plant/sediments metal concentration factor even though its bioavailability in plants (71.5 ppm) was lower compared to Manganese (192.3 ppm). This calls for immediate action to be implemented to carry out necessary environmental mitigation measures for the lake.

Health impact assessment of particulate pollution in Tallinn using fine spatial resolution and modeling techniques

BackgroundHealth impact assessments (HIA) use information on exposure, baseline mortality/morbidity and exposure-response functions from epidemiological studies in order to quantify the health impacts of existing situations and/or alternative scenarios. The aim of this study was to improve HIA methods for air pollution studies in situations where exposures can be estimated using GIS with high spatial resolution and dispersion modeling approaches.MethodsTallinn was divided into 84 sections according to neighborhoods, with a total population of approx. 390 000 persons. Actual baseline rates for total mortality and hospitalization with cardiovascular and respiratory diagnosis were identified. The exposure to fine particles (PM2.5) from local emissions was defined as the modeled annual levels. The model validation and morbidity assessment were based on 2006 PM10 or PM2.5 levels at 3 monitoring stations. The exposure-response coefficients used were for total mortality 6.2% (95% CI 1.6–11%) per 10 μg/m3 increase of annual mean PM2.5 concentration and for the assessment of respiratory and cardiovascular hospitalizations 1.14% (95% CI 0.62–1.67%) and 0.73% (95% CI 0.47–0.93%) per 10 μg/m3 increase of PM10. The direct costs related to morbidity were calculated according to hospital treatment expenses in 2005 and the cost of premature deaths using the concept of Value of Life Year (VOLY).ResultsThe annual population-weighted-modeled exposure to locally emitted PM2.5 in Tallinn was 11.6 μg/m3. Our analysis showed that it corresponds to 296 (95% CI 76528) premature deaths resulting in 3859 (95% CI 10236636) Years of Life Lost (YLL) per year. The average decrease in life-expectancy at birth per resident of Tallinn was estimated to be 0.64 (95% CI 0.17–1.10) years. While in the polluted city centre this may reach 1.17 years, in the least polluted neighborhoods it remains between 0.1 and 0.3 years. When dividing the YLL by the number of premature deaths, the decrease in life expectancy among the actual cases is around 13 years. As for the morbidity, the short-term effects of air pollution were estimated to result in an additional 71 (95% CI 43–104) respiratory and 204 (95% CI 131–260) cardiovascular hospitalizations per year. The biggest external costs are related to the long-term effects on mortality: this is on average €150 (95% CI 40–260) million annually. In comparison, the costs of short-term air-pollution driven hospitalizations are small €0.3 (95% CI 0.2–0.4) million.ConclusionSectioning the city for analysis and using GIS systems can help to improve the accuracy of air pollution health impact estimations, especially in study areas with poor air pollution monitoring data but available dispersion models.

Expert elicitation on ultrafine particles: likelihood of health effects and causal pathways

BackgroundExposure to fine ambient particulate matter (PM) has consistently been associated with increased morbidity and mortality. The relationship between exposure to ultrafine particles (UFP) and health effects is less firmly established. If UFP cause health effects independently from coarser fractions, this could affect health impact assessment of air pollution, which would possibly lead to alternative policy options to be considered to reduce the disease burden of PM. Therefore, we organized an expert elicitation workshop to assess the evidence for a causal relationship between exposure to UFP and health endpoints.MethodsAn expert elicitation on the health effects of ambient ultrafine particle exposure was carried out, focusing on: 1) the likelihood of causal relationships with key health endpoints, and 2) the likelihood of potential causal pathways for cardiac events. Based on a systematic peer-nomination procedure, fourteen European experts (epidemiologists, toxicologists and clinicians) were selected, of whom twelve attended. They were provided with a briefing book containing key literature. After a group discussion, individual expert judgments in the form of ratings of the likelihood of causal relationships and pathways were obtained using a confidence scheme adapted from the one used by the Intergovernmental Panel on Climate Change.ResultsThe likelihood of an independent causal relationship between increased short-term UFP exposure and increased all-cause mortality, hospital admissions for cardiovascular and respiratory diseases, aggravation of asthma symptoms and lung function decrements was rated medium to high by most experts. The likelihood for long-term UFP exposure to be causally related to all cause mortality, cardiovascular and respiratory morbidity and lung cancer was rated slightly lower, mostly medium. The experts rated the likelihood of each of the six identified possible causal pathways separately. Out of these six, the highest likelihood was rated for the pathway involving respiratory inflammation and subsequent thrombotic effects.ConclusionThe overall medium to high likelihood rating of causality of health effects of UFP exposure and the high likelihood rating of at least one of the proposed causal mechanisms explaining associations between UFP and cardiac events, stresses the importance of considering UFP in future health impact assessments of (transport-related) air pollution, and the need for further research on UFP exposure and health effects.

An assessment of air pollution impact for an Indian highway project

PurposeThe paper aims to demonstrate a geographic information system (GIS) based study on environmental impact assessment (EIA), due to air pollution, for a highway project.Design/methodology/approachAn approach has been designed to explore the scope for the combination of EIA and GIS in development for the proposed Allahabad Bypass Project. The air quality in the study area has been quantified in terms of the air pollution index (API). GIS has been exploited to obtain the spatial information for the prediction of air pollution impact at different suburban and rural areas adjacent to the stretch of bypass.FindingsThe study has enabled the researchers to understand the variation in air quality along the total stretch of the bypass keeping in view the “with” and “without” project scenarios. The results obtained from the study show considerable increase in air pollution levels from baseline to the projected period of 20 years, due to gradual increase in vehicular traffic along the highway.Originality/valueThe information presented in this paper serves as an example to quantify the negative impacts of countryside air quality associated with highway projects. The approach utilized the spatial evaluation of air pollution and helps to provide a critical insight to the problem, which is not apparent while carrying out such an exercise in the traditional manner.Practical implicationsHopefully, this study will encourage the highway planners in India to make a wider application of the technique for an indepth assessment of environmental impacts.

Source apportionment of particulate matter (PM 2.5) in an urban area using dispersion, receptor and inverse modelling

Air pollution emission inventories are the basis for air quality assessment and management strategies. The quality of the inventories is of great importance since these data are essential for air pollution impact assessments using dispersion models. In this study, the quality of the emission inventory for fine particulates (PM 2.5) is assessed: first, using the calculated source contributions from a receptor model; second, using source apportionment from a dispersion model; and third, by applying a simple inverse modelling technique which utilises multiple linear regression of the dispersion model source contributions together with the observed PM 2.5 concentrations. For the receptor modelling the chemical composition of PM 2.5 filter samples from a measurement campaign performed between January 2004 and April 2005 are analysed. Positive matrix factorisation is applied as the receptor model to detect and quantify the various source contributions. For the same observational period and site, dispersion model calculations using the Air Quality Management system, AirQUIS, are performed. The results identify significant differences between the dispersion and receptor model source apportionment, particularly for wood burning and traffic induced suspension. For wood burning the receptor model calculations are lower, by a factor of 0.54, but for the traffic induced suspension they are higher, by a factor of 7.1. Inverse modelling, based on regression of the dispersion model source contributions and the PM 2.5 concentrations, indicates similar discrepancies in the emissions inventory. In order to assess if the differences found at the one site are generally applicable throughout Oslo, the individual source category emissions are rescaled according to the receptor modelling results. These adjusted PM 2.5 concentrations are compared with measurements at four independent stations to evaluate the updated inventory. Statistical analysis shows improvement in the estimated concentrations for PM 2.5 at all sites. Similarly, inverse modelling is applied at these independent sites and this confirms the validity of the receptor model results.

Air pollution impact assessment on agroecosystem and human health characterisation in the area surrounding the industrial settlement of Milazzo (Italy): a multidisciplinary approach

In order to evaluate the impact of atmospheric pollutants emitted by the industrial settlement of Milazzo (Italy) on agriculture, sulphur dioxide and ozone levels in air were monitored and the data were used to estimate yield losses of the most widespread cultures. Trace element concentrations in crops and soils were also detected and metabolic profiles of soil microbial communities were considered. Vibrio fischeri test was used to appraise airborne pollutant ecotoxicity and epidemiological studies on causes of death distribution were carried out to characterize health state of people living in the area. All the sampling points were selected in farms on the basis of a theoretical meteo-diffusive model of industrial air pollutants. Experimental SO2 and O3 values mainly exceeded the threshold established by Italian and EU regulations to protect vegetation and they correspond to estimated significant crop losses. Conversely toxic element residues in soils and in agroalimentary products were generally lower than the fixed values. SO2 and O3 concentrations, toxic element contents and ecotoxicity levels of airborne pollutants were not related only to industrial site emissions, while the fluctuations on metabolic profiles of soil microbial communities seem to agree with the predicted deposition of xenobiotic compounds from the industrial plants. The epidemiological study evidenced a better health state of populations living in the investigated area than in the Messina province and the Sicily region but, inside the area, males living in the municipalities closest to the industrial settlement exhibited a worst health state than those in the very far ones.

Time Course Transformations and Fate of Mercury in Aquatic Model Ecosystems

Model aquatic ecosystems have been used to study the natural mechanisms involved in the distribution and transformation of inorganic mercury (IHg) in the different compartments and its interactions with the biota. Laboratory incubations in indoor freshwater microcosms, presenting a simple biological organization, were carried out at various spiked concentrations (3, 25 and 257 nmol l−1 of IHg, as mercuric chloride) and from a single initial contamination of the water column. The different compartments of the model ecosystems (water, sediment, macrophytes Elodea canadensis and snails Lymnaea stagnalis) were investigated for mercury distribution and speciation during a 2-month experimental period. The principal results obtained have evidenced different Hg biogeochemical pathways including biotic IHg methylation and reduction and transfer to the biota. A fast transfer of IHg from the water to the aquatic organisms and to the sediment was first observed with IHg half-lives of 24 h and 8 days, respectively. IHg methylation, clearly related to biogenic processes, was also demonstrated in all contaminated microcosms after 1 week of exposure. Finally, gaseous mercury species were determined in the different microcosms and significant biological induced production of elemental Hg (Hg°) and dimethyl Hg (DMHg) was observed. This overall investigation, based on the time courses evolution of IHg and in situ produced monomethylmercury (MMHg) concentrations allows to determine uptake and elimination rate constants for IHg as well as the bioaccumulation kinetics of MMHg in macrophytes and snails. The applicability of these aquatic model ecosystems to provide real insights for pollution impact and ecotoxicological risk assessments has been demonstrated.

Assessment of the status of biogenic organic emissions and impacts on air quality in southern Africa

Air quality management in South Africa has traditionally focused on industrial, vehicular and domestic coal burning as emission sources of air pollution. Only recently through, research initiatives such as Southern African Fire-Atmosphere Research Initiative in 2000 (SAFARI 2000) and the Cross Border Air Pollution Impact Assessment Project, have the importance of biogenic volatile organic compound (BVOC) emissions been recognized in regional atmospheric chemistry and composition, particularly relating to surface ozone formation. These projects have identified significant gaps in the understanding of BVOC emissions in southern Africa.BVOC emissions are relatively well understood for southern African savanna and woodland plant species and landscapes. Considering that the region is home to more than 20 000 plant species, the most significant gap in the understanding of BVOC emissions is the acute lack of plant specific emission information. Equally important is an understanding of the unique local factors that control BVOC emissions.A project has been launched in South Africa to develop capacity and technologies to address the BVOC knowledge gaps. It focuses on measurement and modelling and aims to develop a cadre of skilled scientists in BVOC sampling techniques using leaf and branch enclosures, relaxed eddy accumulation and lidar techniques in conjunction with development and application of photochemical modelling.

Immersed in situ microcosms: A tool for the assessment of pollution impact on phytoplankton

In situ phytoplankton microcosms were developed and characterized for use in toxicity testing. The microcosms contained 225 μm filtered seawater maintained in 1 liter glass bottles attached to a plastic frame and immersed at 3 m under the sea surface. Synechococcus and picoeukaryote population dynamics in microcosms and the surrounding water were compared. A bloom-like behaviour observed for Synechococcus in these phytoplankton microcosms was avoided when 10% of the culture volume was replaced, every two days, by filtered seawater. After 2 weeks, no significant difference in Synechococcus and picoeukaryotes cell counts was observed in microcosms compared to the surrounding free seawater. Synechococcus fluorescence at 545 nm (phycoerythrobilin) fluctuated with a similar pattern in such microcosms and in free seawater and were shown to be correlated to light intensity fluctuations over a two week experiment. The in situ microcosms were used to study the impact of low copper additions. Synechococcus populations were dramatically decreased by copper addition, while picoeukaryote populations were increased simultaneously. Our data show that drastic changes in species composition can occur at copper concentrations encountered in polluted coastal areas.