Pediatric asthma incidence in Texas and associations with ambient ozone levels in an urban area an analysis using Medicaid claims data

Few recent estimates of childhood asthma incidence exist in the literature, although the importance of incidence surveillance for understanding asthma risk factors has been recognized. Asthma prevalence, morbidity and mortality reports have repeatedly shown that low-income children are disproportionately impacted by the disease. The aim of this study was to demonstrate the utility of Medicaid claims data for providing statewide estimates of asthma incidence. Medicaid Analytic Extract (MAX) data for Texas children ages 0-17 enrolled in Medicaid between 2004 and 2007 were used to estimate incidence overall and by age group, gender, race and county of residence. A 13+ month period of continuous enrollment was required in order to distinguish incident from prevalent cases identified in the claims data. Age-adjusted incidence of asthma was 4.26/100 person-years during 2005-2007, higher than reported in other populations. Incidence rates decreased with age, were higher for males than females, differed by race, and tended to be higher in rural than urban areas. With this study, we were able to demonstrate the utility of MAX data for estimating asthma incidence, and create a dataset of incident cases to use in further analysis. ^ In subsequent analyses, we investigated a possible association between ambient air pollutants and incident asthma among Medicaid-enrolled children in Harris County Texas between 2005 and 2007. This population is at high risk for asthma, and living in an area with historically poor air quality. We used a time-stratified case-crossover design and conditional logistic regression to calculate odds ratios, adjusted for weather variables and aeroallergens, to assess the effect of increases in ozone, NO2 and PM2.5 concentrations on risk of developing asthma. Our results show that a 10 ppb increase in ozone was significantly associated with asthma during the warm season (May-October), with the strongest effect seen when a 6-day cumulative lag period was used to compute the exposure metric (OR=1.05, 95% CI, 1.02���1.08). Similar results were seen for NO2 and PM 2.5 (OR=1.07, 95% CI, 1.03���1.11 and OR=1.12, 95% CI, 1.03���1.22, respectively). PM2.5 also had significant effects in the cold season (November-April), 5-day cumulative lag: OR=1.11, 95% CI, 1.00���1.22. When compared with children in the lowest quartile of O3 exposure, the risk for children in the highest quartile was 20% higher. This study indicates that these pollutants are associated with newly-diagnosed childhood asthma in this low-income urban population, particularly during the summer months. ^

Ozone and fine particulate matter association with CVD and COPD emergency room visits in Harris County, Texas: Spatiotemporal analysis

This study represents a secondary analysis of the merging of emergency room visits and daily ozone and PM2.5. Although the adverse health effects of ozone and fine particulate matter have been documented in the literature, evidence regarding the health risks of these two pollutants in Harris County, Texas, is limited. Harris County (Houston) has sufficiently unique characteristics that analysis of these relationships in this setting and with the ozone and industry issues in Houston is informative. The objective of this study was to investigate the association between the joint exposure to ozone and fine particulate matter, and emergency room diagnoses of chronic obstructive pulmonary disease and cardiovascular disease in Harris County, Texas, from 2004 to 2009, with zero and one day lags. ^ The study variables were daily emergency room visits for Harris County, Texas, from 2004 to 2009, temperature, relative humidity, east wind component, north wind component, ozone, and fine particulate matter. Information about each patient's age, race, and gender was also included. The two dichotomous outcomes were emergency room visits diagnoses for chronic obstructive pulmonary disease and cardiovascular disease. Estimates of ozone and PM2.5 were interpolated using kriging, in which estimates of the two pollutants were predicted from monitoring data for every case residence zip code for every day of the six years, over 3 million estimates (one of each pollutant for each case in the database). ^ Logistic regressions were conducted to estimate odds ratios of the two outcomes. Three analyses were conducted: one for all records, another for visits during the four months of April and September of 2005 and 2009, and a third one for visits from zip codes that are close to PM2.5 monitoring stations (east area of Harris County). The last two analyses were designed to investigate special temporal and spatial characteristics of the associations. ^ The dataset included all ER visits surveyed by Safety Net from 2004 to 2009, exceeding 3 million visits for all causes. There were 95,765 COPD and 96,596 CVD cases during this six year period. A 1-��g/m3 increase in PM2.5 on the same day was associated with a 1.0% increase in the odds of chronic obstructive pulmonary disease emergency room diagnoses, a 0.4% increase in the odds of cardiovascular disease emergency room diagnoses, and a 0.2% increase in the odds of cardiovascular disease emergency room diagnoses on the following day. A 1-ppb increase in ozone was associated with a 0.1% increase in the odds of chronic obstructive pulmonary disease emergency room diagnoses on the same day. These four percentages add up to 1.7% of ER visits. That is, over the period of six years, one unit increase for both ozone and PM2.5 (joint increase), resulted in about 55,286 (3,252,102 * 0.017) extra ER visits for CVD or COPD, or 9,214 extra ER visits per year. ^ After adjustment for age, race, gender, day of the week, temperature, relative humidity, east wind component, north wind component, and wind speed, there were statistically significant associations between emergency room chronic obstructive pulmonary disease diagnosis in Harris County, Texas, with joint exposure to ozone and fine particulate matter for the same day; and between emergency room cardiovascular disease diagnosis and exposure to PM2.5 of the same day and the previous day. ^ Despite the small association between the two air pollutants and the health outcomes, this study points to important findings. Namely, the need to identify reasons for the increase of CVD and COPD ER visits over the course of the project, the statistical association between humidity (or whatever other variables for which it may serve as a surrogate) and CVD and COPD cases, and the confirmatory finding that males and blacks have higher odds for the two outcomes, as consistent with other studies. ^ An important finding of this research suggests that the number and distribution of PM2.5 monitors in Harris County - although not evenly spaced geographically���are adequate to detect significant association between exposure and the two outcomes. In addition, this study points to other potential factors that contribute to the rising incidence rates of CVD and COPD ER visits in Harris County such as population increases, patient history, life style, and other pollutants. Finally, results of validation, using a subset of the data demonstrate the robustness of the models.^

Prevalence and risk factors of asthma and work -related asthma among U.S. adults: Data from the Third National Health and Nutrition Examination Survey, 1988--1994

This cross-sectional analysis of the data from the Third National Health and Nutrition Examination Survey was conducted to determine the prevalence and determinants of asthma and wheezing among US adults, and to identify the occupations and industries at high risk of developing work-related asthma and work-related wheezing. Separate logistic models were developed for physician-diagnosed asthma (MD asthma), wheezing in the previous 12 months (wheezing), work-related asthma and work-related wheezing. Major risk factors including demographic, socioeconomic, indoor air quality, allergy, and other characteristics were analyzed. The prevalence of lifetime MD asthma was 7.7% and the prevalence of wheezing was 17.2%. Mexican-Americans exhibited the lowest prevalence of MD asthma (4.8%; 95% confidence interval (CI): 4.2, 5.4) when compared to other race-ethnic groups. The prevalence of MD asthma or wheezing did not vary by gender. Multiple logistic regression analysis showed that Mexican-Americans were less likely to develop MD asthma (adjusted odds ratio (ORa) = 0.64, 95%CI: 0.45, 0.90) and wheezing (ORa = 0.55, 95%CI: 0.44, 0.69) when compared to non-Hispanic whites. Low education level, current and past smoking status, pet ownership, lifetime diagnosis of physician-diagnosed hay fever and obesity were all significantly associated with MD asthma and wheezing. No significant effect of indoor air pollutants on asthma and wheezing was observed in this study. The prevalence of work-related asthma was 3.70% (95%CI: 2.88, 4.52) and the prevalence of work-related wheezing was 11.46% (95%CI: 9.87, 13.05). The major occupations identified at risk of developing work-related asthma and wheezing were cleaners; farm and agriculture related occupations; entertainment related occupations; protective service occupations; construction; mechanics and repairers; textile; fabricators and assemblers; other transportation and material moving occupations; freight, stock and material movers; motor vehicle operators; and equipment cleaners. The population attributable risk for work-related asthma and wheeze were 26% and 27% respectively. The major industries identified at risk of work-related asthma and wheeze include entertainment related industry; agriculture, forestry and fishing; construction; electrical machinery; repair services; and lodging places. The population attributable risk for work-related asthma was 36.5% and work-related wheezing was 28.5% for industries. Asthma remains an important public health issue in the US and in the other regions of the world. ^

Aplicaci��n de t��cnicas de inteligencia artificial a la predicci��n de contaminantes atmosf��ricos

Abstract Air pollution is a big threat and a phenomenon that has a specific impact on human health, in addition, changes that occur in the chemical composition of the atmosphere can change the weather and cause acid rain or ozone destruction. Those are phenomena of global importance. The World Health Organization (WHO) considerates air pollution as one of the most important global priorities. Salamanca, Gto., Mexico has been ranked as one of the most polluted cities in this country. The industry of the area led to a major economic development and rapid population growth in the second half of the twentieth century. The impact in the air quality is important and significant efforts have been made to measure the concentrations of pollutants. The main pollution sources are locally based plants in the chemical and power generation sectors. The registered concerning pollutants are Sulphur Dioxide (SO2) and particles on the order of ���10 micrometers or less (PM10). The prediction in the concentration of those pollutants can be a powerful tool in order to take preventive measures such as the reduction of emissions and alerting the affected population. In this PhD thesis we propose a model to predict concentrations of pollutants SO2 and PM10 for each monitoring booth in the Atmospheric Monitoring Network Salamanca (REDMAS - for its spanish acronym). The proposed models consider the use of meteorological variables as factors influencing the concentration of pollutants. The information used along this work is the current real data from REDMAS. In the proposed model, Artificial Neural Networks (ANN) combined with clustering algorithms are used. The type of ANN used is the Multilayer Perceptron with a hidden layer, using separate structures for the prediction of each pollutant. The meteorological variables used for prediction were: Wind Direction (WD), wind speed (WS), Temperature (T) and relative humidity (RH). Clustering algorithms, K-means and Fuzzy C-means, are used to find relationships between air pollutants and weather variables under consideration, which are added as input of the RNA. Those relationships provide information to the ANN in order to obtain the prediction of the pollutants. The results of the model proposed in this work are compared with the results of a multivariate linear regression and multilayer perceptron neural network. The evaluation of the prediction is calculated with the mean absolute error, the root mean square error, the correlation coefficient and the index of agreement. The results show the importance of meteorological variables in the prediction of the concentration of the pollutants SO2 and PM10 in the city of Salamanca, Gto., Mexico. The results show that the proposed model perform better than multivariate linear regression and multilayer perceptron neural network. The models implemented for each monitoring booth have the ability to make predictions of air quality that can be used in a system of real-time forecasting and human health impact analysis. Among the main results of the development of this thesis we can cite: A model based on artificial neural network combined with clustering algorithms for prediction with a hour ahead of the concentration of each pollutant (SO2 and PM10) is proposed. A different model was designed for each pollutant and for each of the three monitoring booths of the REDMAS. A model to predict the average of pollutant concentration in the next 24 hours of pollutants SO2 and PM10 is proposed, based on artificial neural network combined with clustering algorithms. Model was designed for each booth of the REDMAS and each pollutant separately. Resumen La contaminaci��n atmosf��rica es una amenaza aguda, constituye un fen��meno que tiene particular incidencia sobre la salud del hombre. Los cambios que se producen en la composici��n qu��mica de la atm��sfera pueden cambiar el clima, producir lluvia ��cida o destruir el ozono, fen��menos todos ellos de una gran importancia global. La Organizaci��n Mundial de la Salud (OMS) considera la contaminaci��n atmosf��rica como una de las m��s importantes prioridades mundiales. Salamanca, Gto., M��xico; ha sido catalogada como una de las ciudades m��s contaminadas en este pa��s. La industria de la zona propici�� un importante desarrollo econ��mico y un crecimiento acelerado de la poblaci��n en la segunda mitad del siglo XX. Las afectaciones en el aire son graves y se han hecho importantes esfuerzos por medir las concentraciones de los contaminantes. Las principales fuentes de contaminaci��n son fuentes fijas como industrias qu��micas y de generaci��n el��ctrica. Los contaminantes que se han registrado como preocupantes son el Bi��xido de Azufre (SO2) y las Part��culas Menores a 10 micr��metros (PM10). La predicci��n de las concentraciones de estos contaminantes puede ser una potente herramienta que permita tomar medidas preventivas como reducci��n de emisiones a la atm��sfera y alertar a la poblaci��n afectada. En la presente tesis doctoral se propone un modelo de predicci��n de concentraci ��n de los contaminantes m��s cr��ticos SO2 y PM10 para cada caseta de monitorizaci��n de la Red de Monitorizaci��n Atmosf��rica de Salamanca (REDMAS). Los modelos propuestos plantean el uso de las variables meteorol ��gicas como factores que influyen en la concentraci��n de los contaminantes. La informaci��n utilizada durante el desarrollo de este trabajo corresponde a datos reales obtenidos de la REDMAS. En el Modelo Propuesto (MP) se aplican Redes Neuronales Artificiales (RNA) combinadas con algoritmos de agrupamiento. La RNA utilizada es el Perceptr��n Multicapa con una capa oculta, utilizando estructuras independientes para la predicci��n de cada contaminante. Las variables meteorol��gicas disponibles para realizar la predicci��n fueron: Direcci��n de Viento (DV), Velocidad de Viento (VV), Temperatura (T) y Humedad Relativa (HR). Los algoritmos de agrupamiento K-means y Fuzzy C-means son utilizados para encontrar relaciones existentes entre los contaminantes atmosf��ricos en estudio y las variables meteorol��gicas. Dichas relaciones aportan informaci��n a las RNA para obtener la predicci��n de los contaminantes, la cual es agregada como entrada de las RNA. Los resultados del modelo propuesto en este trabajo son comparados con los resultados de una Regresi��n Lineal Multivariable (RLM) y un Perceptr��n Multicapa (MLP). La evaluaci��n de la predicci��n se realiza con el Error Medio Absoluto, la Ra��z del Error Cuadr��tico Medio, el coeficiente de correlaci��n y el ��ndice de acuerdo. Los resultados obtenidos muestran la importancia de las variables meteorol��gicas en la predicci��n de la concentraci��n de los contaminantes SO2 y PM10 en la ciudad de Salamanca, Gto., M��xico. Los resultados muestran que el MP predice mejor la concentraci��n de los contaminantes SO2 y PM10 que los modelos RLM y MLP. Los modelos implementados para cada caseta de monitorizaci ��n tienen la capacidad para realizar predicciones de calidad del aire, estos modelos pueden ser implementados en un sistema que permita realizar la predicci��n en tiempo real y analizar el impacto en la salud de la poblaci��n. Entre los principales resultados obtenidos del desarrollo de esta tesis podemos citar: Se propone un modelo basado en una red neuronal artificial combinado con algoritmos de agrupamiento para la predicci��n con una hora de anticipaci ��n de la concentraci��n de cada contaminante (SO2 y PM10). Se dise���� un modelo diferente para cada contaminante y para cada una de las tres casetas de monitorizaci��n de la REDMAS. Se propone un modelo de predicci��n del promedio de la concentraci��n de las pr��ximas 24 horas de los contaminantes SO2 y PM10, basado en una red neuronal artificial combinado con algoritmos de agrupamiento. Se dise���� un modelo para cada caseta de monitorizaci��n de la REDMAS y para cada contaminante por separado.

Study of PM10 and PM2.5 levels in three European cities: Analysis of intra and inter urban variations

In the present paper, 1-year PM10 and PM 2.5 data from roadside and urban background monitoring stations in Athens (Greece), Madrid (Spain) and London (UK) are analysed in relation to other air pollutants (NO,NO2,NOx,CO,O3 and SO2)and several meteorological parameters (wind velocity, temperature, relative humidity, precipitation, solar radiation and atmospheric pressure), in order to investigate the sources and factors affecting particulate pollution in large European cities. Principal component and regression analyses are therefore used to quantify the contribution of both combustion and non-combustion sources to the PM10 and PM 2.5 levels observed. The analysis reveals that the EU legislated PM 10 and PM2.5 limit values are frequently breached, forming a potential public health hazard in the areas studied. The seasonal variability patterns of particulates varies among cities and sites, with Athens and Madrid presenting higher PM10 concentrations during the warm period and suggesting the larger relative contribution of secondary and natural particles during hot and dry days. It is estimated that the contribution of non-combustion sources varies substantially among cities, sites and seasons and ranges between 38-67% and 40-62% in London, 26-50% and 20-62% in Athens, and 31-58% and 33-68% in Madrid, for both PM10 and PM 2.5. Higher contributions from non-combustion sources are found at urban background sites in all three cities, whereas in the traffic sites the seasonal differences are smaller. In addition, the non-combustion fraction of both particle metrics is higher during the warm season at all sites. On the whole, the analysis provides evidence of the substantial impact of non-combustion sources on local air quality in all three cities. While vehicular exhaust emissions carry a large part of the risk posed on human health by particle exposure, it is most likely that mitigation measures designed for their reduction will have a major effect only at traffic sites and additional measures will be necessary for the control of background levels. However, efforts in mitigation strategies should always focus on optimal health effects.

La influencia en el aislamiento ac��sticoa ruido a��reo de los aireadores en las ventanas compactas

En la actualidad, el crecimiento de la poblaci��n urbana, el incremento de la demanda energ��tica junto al desarrollo tecnol��gico impulsado en los ��ltimos veinte a��os han originado un estudio y replanteamiento de los sistemas constructivos empleados. Como consecuencia se han establecido nuevos marcos normativos, marcando nuevos objetivos de confort y de demanda energ��tica. En Espa��a, el C��digo T��cnico de la Edificaci��n (aprobado en el Real Decreto 314/2006 de 17 de Marzo) es el marco normativo que establece las exigencias que se deben cumplir al proyectar construir, usar, mantener y conservar los edificios, incluidas sus instalaciones, con el fin de asegurar la calidad, seguridad y salud del usuario, respetando en todo momento su entorno. Para asegurar el cumplimiento de las exigencias del C��digo T��cnico de la Edificaci��n (CTE), se han elaborado diferentes Documentos B��sicos (DB). Entre ellos est��n los documentos b��sicos DB HR-Protecci��n frente al ruido y el DB HS-Salubridad. En el DB HS 3 Calidad del aire interior, se establecen las condiciones que deben de adoptarse para que los recintos de los edificios se puedan ventilar adecuadamente, eliminando los contaminantes que se produzcan de forma habitual durante un uso normal de los edificios, de forma que se aporte un caudal suficiente de aire exterior y se garantice la extracci��n y expulsi��n del aire viciado por los contaminantes. En el apartado 3.1, Condiciones generales de los sistemas de ventilaci��n, se indica que las viviendas deben disponer de un sistema general de ventilaci��n donde el aire debe circular desde los locales secos a los h��medos. Para ello los comedores, los dormitorios y las salas de estar deben de disponer de aberturas de admisi��n, pudi��ndose resolver esta cuesti��n t��cnica con diversas soluciones. El DB HR Protecci��n frente al ruido del CTE, establece unos valores del aislamiento ac��stico a ruido a��reo, entre un recinto protegido y el exterior, en funci��n del uso del edificio y del nivel sonoro continuo equivalente d��a, Ld de la zona donde se ubique el edificio. El hacer compatibles el cumplimiento de las exigencias de los dos Documentos B��sicos anteriormente citados, origina algunas dificultades en los proyectos de edificaci��n actuales. Los proyectistas tienen que recurrir en la mayor��a de los casos a nuevos sistemas constructivos o duplicaciones de soluciones existentes, evitando la manipulaci��n de los elementos de regulaci��n de entrada de aire en las viviendas. El objetivo fundamental de la Tesis presentada es el estudio de los efectos que producen la colocaci��n de sistemas de aireaci��n permanente en el aislamiento ac��stico a ruido a��reo de las ventanas compactas. Se comprueba la influencia de cada uno de los componentes de la ventana compacta: perfiles, unidades de vidrio, sistema de apertura, caj��n de persiana, persiana, aireadores, etc. en el aislamiento a ruido a��reo del sistema completo. Los ensayos ac��sticos se han realizado mediante dos m��todos: conforme a la norma UNE-EN ISO 10140-2:2011 Medici��n en laboratorio del aislamiento ac��stico al ruido a��reo de los elementos de construcci��n y mediante intensimetr��a ac��stica acorde a la norma UNE-EN ISO 15186-1:2004 Medici��n del aislamiento ac��stico en los edificios y de los elementos de construcci��n utilizando intensidad sonora. Los resultados obtenidos podr��n ser de gran utilidad para todos los profesionales que intervienen en el proceso edificatorio: arquitectos, ingenieros, instaladores, promotores, fabricantes de productos, etc., tanto en la obra nueva como en la rehabilitaci��n. En un futuro, podr��an incorporarse a los Cat��logos y Documentos de Aplicaci��n del CTE, as�� como a los nuevos programas inform��ticos de dise��o y aislamiento ac��stico. Con el conocimiento adquirido y su aplicaci��n, se contribuir�� a la mejora de la calidad de una edificaci��n m��s sostenible y eficiente. Se incrementar�� la productividad y la competitividad de los fabricantes de materiales y sistemas constructivos, aumentando el grado de satisfacci��n del usuario final con el consiguiente aumento de la calidad de vida de los ciudadanos. Tambi��n se ampliar�� el conocimiento t��cnico de este tipo de sistemas y la compatibilidad entre las distintas exigencias marcadas por la normativa. ABSTRACT At present, the urban population growth, the increase of energy demand and the technological development in the last twenty years have led to a rethinking of the used building systems. As a result, new regulatory frameworks have been established, setting new goals of comfort and energy demand. In Spain, the Building Code, C��digo T��cnico de la Edificaci��n (CTE) (RD 314/2006 of March 17th) is the regulatory framework that establishes the requirements to be met by projecting, building, using, maintaining and preserving buildings, including its facilities in order to ensure the quality, safety and health of the user, always respecting the environment. To ensure compliance with the requirements of the CTE, different technical requirements Documentos b��sicos (DB) have been developed. Among them, are the DB-HR-Protection against noise and DB-HS-Health. In the DB-HS- part3, Indoor Air Quality, are set the conditions needed to be taken into consideration so that the building enclosures can be adequately ventilated, eliminating pollutants that occur regularly during normal use of the buildings, so that a sufficient airflow of outdoor is supplied and a removal and extraction of stale air pollutants is guaranteed. In section 3.1, General Terms of ventilation systems, is indicated that dwellings must have a general ventilation system where air can circulate from dry to wet enclosures. For this, dining rooms, bedrooms and living rooms should have air intake, being able to resolve this technical issue with various solutions. The DB-HR Protection against noise, provides sound insulation values of airborne sound transmission between a protected room and the outside, depending on the use of the building and the equivalent continuous sound level day, Ld, in the area where the building is located. Satisfying the requirements of the two requirements mentioned above causes some difficulties in current building project. Designers have to rely in most cases, to new construction elements or duplicate existing solutions, avoiding the manipulation of the air intakes elements. The main objective of this Thesis is the study of the effects of permanent intakes systems in the acoustic insulation against airborne noise transmission in compact windows. The influence of each of the components of the compact window is determined: frames, glass units, opening systems, shutter box, trickle vents, etc. in the airborne sound insulation of the entire system. The acoustic survey were performed using two methods: UNE-EN ISO 10140-2: 2011 Laboratory measurements of sound insulation of building elements and UNE-EN ISO 15186-1:2004 Measurement of sound insulation in buildings and of building elements using sound intensity. The obtained results may be useful for all professionals involved in the building process: architects, engineers, installers, developers, manufacturers, etc. in the new construction developments and in rehabilitation. In the future, it could be added to building catalogues and applications of the Spanish Building Code, as well as to the new design and sound insulation software. With the acquired knowledge and its application, there will be a contribution to improve the quality of a more sustainable and efficient construction. Productivity and competitiveness of manufacturers of building materials and components will improve, increasing the degree of satisfaction of the final user with a consequent increase in the quality of life of citizens. Technical knowledge of such systems and compatibility between the various requirements set by the legislation will also expand.

A methodology to estimate uncertainty for emission projections through sensitivity analysis

Air pollution abatement policies must be based on quantitative information on current and future emissions of pollutants. As emission projections uncertainties are inevitable and traditional statistical treatments of uncertainty are highly time/resources consuming, a simplified methodology for nonstatistical uncertainty estimation based on sensitivity analysis is presented in this work. The methodology was applied to the ���with measures��� scenario for Spain, concretely over the 12 highest emitting sectors regarding greenhouse gas and air pollutants emissions. Examples of methodology application for two important sectors (power plants, and agriculture and livestock) are shown and explained in depth. Uncertainty bands were obtained up to 2020 by modifying the driving factors of the 12 selected sectors and the methodology was tested against a recomputed emission trend in a low economic-growth perspective and official figures for 2010, showing a very good performance. Implications: A solid understanding and quantification of uncertainties related to atmospheric emission inventories and projections provide useful information for policy negotiations. However, as many of those uncertainties are irreducible, there is an interest on how they could be managed in order to derive robust policy conclusions. Taking this into account, a method developed to use sensitivity analysis as a source of information to derive nonstatistical uncertainty bands for emission projections is presented and applied to Spain. This method simplifies uncertainty assessment and allows other countries to take advantage of their sensitivity analyses.

Regulatory impact analysis of emission standards for elemental phosphorus plants /

"EPA 520/1-84-025."

Proposed standard for radon-222 emissions from licensed uranium mill tailings : draft economic analysis /

"40 CFR Part 61, national emission standards for hazardous air pollutants."

NIOH and NIOSH basis for an occupational health standard : grain dust : health hazards of storing, handling, and shipping grain /

Summary in Swedish.

An initial assessment of the literature on the measurement, control, transport, transformation and health effects of unregulated diesel engine emissions. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Fossil fuel-fired power plants : report to the House and Senate Environment and Energy Commissions.

The Illinois Environmental Protection Agency (Illinois EPA) was asked by the Illinois General Assembly to examine whether the State should address further potential restrictions on power plant pollution. This request was made under Section 9-10 of the Environmental Protection Act (Act). This is a report of the Illinois EPA's findings. The Illinois EPA has prepared this report of its findings to date based on consideration of a broad spectrum of issues including health benefits, the impact of the reliability of the power grid, the impact on consumer utility rates and the impact on jobs and Illinois' economy. It provides an overview of the principal issues, presents a review of the information we have gathered that addresses those issues, lists information gaps, and uncertainties and finally, lists the work that remains to develop a solution that does not create unintended adverse economic consequences for the people of Illinois.

Essays on Environmental and Health Economics

Thesis (Ph.D.)--University of Washington, 2016-06

Tr��s alternativas estoc��sticas para modelar morbimortalidade por doen��as respirat��rias e cardiovasculares via vari��veis atmosf��ricas

Climate and air pollution, among others, are responsible factors for increase of health vulnerability of the populations that live in urban centers. Climate changes combined with high concentrations of atmospheric pollutants are usually associated with respiratory and cardiovascular diseases. In this sense, the main objective of this research is to model in different ways the climate and health relation, specifically for the children and elderly population which live in S��o Paulo. Therefore, data of meteorological variables, air pollutants, hospitalizations and deaths from respiratory and cardiovascular diseases a in 11-year period (2000-2010) were used. By using modeling via generalized estimating equations, the relative risk was obtained. By dynamic regression, it was possible to predict the number of deaths through the atmospheric variables and the betabinomial-poisson model was able to estimate the number of deaths and simulate scenarios. The results showed that the risk of hospitalizations due to asthma increases approximately twice for children exposed to high concentrations of particulate matter than children who are not exposed. The risk of death by acute myocardial infarction in elderly increase in 3%, 6%, 4% and 9% due to high concentrations CO, SO2, O3 and PM10, respectively. Regarding the dynamic regression modeling, the results showed that deaths by respiratory diseases can be predicted consistently. The beta-binomial-poisson model was able to reproduce an average number of deaths by heart insufficiency. In the region of Santo Amaro the observed number was 2.462 and the simulated was 2.508, in the S�� region 4.308 were observed and 4.426 simulated, which allowed for the generation of scenarios that may be used as a parameter for decision. Making with these results, it is possible to contribute for methodologies that can improve the understanding of the relation between climate and health and proved support to managers in environmental planning and public health policies.

Estimativa da polui����o emitida pelos ��nibus das linhas troncais da cidade de Uberl��ndia, MG

The transport of people and goods contributes to the deterioration of the environment in urban areas because of the generation of pollution, such as, air, noise, soil, water or visual degradation. The heavy vehicles that use diesel as fuel are mainly responsible for the emission of nitrogen oxides (NOx) and particulate matter (PM), contributing to participation of the transport sector in air pollution. In addition, there is emission of Greenhouse Gas (GHG) whose main component is carbon dioxide (CO2). In most major cities, public transportation is often considered as a less polluting alternative compared to the private vehicle, in view of the potential to reduce, per passenger, the emissions of GHG and air pollutants. The study area was the city of Uberl��ndia and the objects of study were the trunk lines of the Sistema Integrado de Transporte (SIT). The emissions of NOx, PM and CO2 were estimated through the bottom-up approach which used the route of each bus line and also fuel consumption obtained through simulation from the TSIS software. The software has some result limitations, there are no report about the emission of pollutants by bus, and it is not able to change specifications for the fuel used by the fleet. The results obtained through calculations of pollutants and GHG emission by the bottom-up approach show that the emission is higher when using fuel comsuption obtained in simulation than using distance. For the results considering fuel and distance there was a reduction in emissions comparing ethanol and diesel.