Hybrid land use regression modeling for estimating spatio-temporal exposures to PM, BC, and metal components across a metropolitan area of complex terrain and industrial sources.

08:00 EDT 30th March 2019 | BioPortfolio

Summary of "Hybrid land use regression modeling for estimating spatio-temporal exposures to PM, BC, and metal components across a metropolitan area of complex terrain and industrial sources."

Land use regression (LUR) modeling has become a common method for predicting pollutant concentrations and assigning exposure estimates in epidemiological studies. However, few LUR models have been developed for metal constituents of fine particulate matter (PM) or have incorporated source-specific dispersion covariates in locations with major point sources. We developed hybrid AERMOD LUR models for PM, black carbon (BC), and steel-related PM constituents lead, manganese, iron, and zinc, using fine-scale air pollution data from 37 sites across the Pittsburgh area. These models were designed with the aim of developing exposure estimates for time periods of interest in epidemiology studies. We found that the hybrid LUR models explained greater variability in PM (R = 0.79) compared to BC (R = 0.59) and metal constituents (R = 0.34-0.55). Approximately 70% of variation in PM was attributable to temporal variance, compared to 36% for BC, and 17-26% for metals. An AERMOD dispersion covariate developed using PM industrial emissions data for 207 sources was significant in PM and BC models; all metals models contained a steel mill-specific PM emissions AERMOD term. Other significant covariates included industrial land use, commercial and industrial land use, percent impervious surface, and summed railroad length.


Journal Details

This article was published in the following journal.

Name: The Science of the total environment
ISSN: 1879-1026
Pages: 54-63


DeepDyve research library

PubMed Articles [11551 Associated PubMed Articles listed on BioPortfolio]

A hybrid modeling framework to estimate pollutant concentrations and exposures in near road environments.

Traffic related air pollution is one of the major local sources of pollution challenging most urban populations. Current air quality modeling approaches can estimate the concentrations of air pollutan...

Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia).

In this paper, various spatial modelling techniques were applied to analyse changes in soil cover and their impact on soil erosion in the Oplenac wine-producing area in Serbia in the past (1985 and 20...

Double-wavelet transform for multi-subject task-induced functional magnetic resonance imaging data.

The goal of this article is to model multi-subject task-induced fMRI response among predefined regions of interest (ROIs) of the human brain. Conventional approaches to fMRI analysis only take into ac...

Urban crime prediction based on spatio-temporal Bayesian model.

Spatio-temporal Bayesian modeling, a method based on regional statistics, is widely used in epidemiological studies. Using Bayesian theory, this study builds a spatio-temporal Bayesian model specific ...

Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic.

A resurgence of scarlet fever has caused many pediatric infections in East Asia and the United Kingdom. Although scarlet fever in Taiwan has not been a notifiable infectious disease since 2007, the co...

Clinical Trials [1719 Associated Clinical Trials listed on BioPortfolio]

Observational Study of Spatio-Temporal Patterns of New Cases of Acute Myeloid Leukemia

Published data regarding the temporal pattern of AML are scarce and old. The greater knowledge of these neoplasias has made that their classification has been remarkable modified. Therefor...

Measurement of Gait Spatio-Temporal Characteristics in Knee Osteoarthritis Patients

The purpose of the study is to evaluate the gait spatio-temporal parameters of patients with degenerative changes in the knee joint and to relate them with 2 questionares (WOMAC and SF-36)...

Effect of Structured Progressive Task-Oriented Circuit Class Training With Motor Imagery on Gait in Stroke

The objectives of the study will be General Objective is to investigate the effect of TOCCT with MI on gait performance in patients with stroke. Speific Objevtives. Specific Objectives ar...

Function, Locomotion, Measurement and Inflammation

FoLoMI is a pilot study in which the investigators will seek to determine if gait spatio-temporal and kinematic parameters can explain the evolution of a functional score, the Bath Ankylos...

Ablation of Anisochronous Zones vs Spatio-temporal Dispersal Zones With Antral Electrical Isolation During Radiofrequency Treatment of Paroxysmal or Persistent Atrial Fibrillation

Using isochronous maps during radiofrequency ablation procedures may identify the driver zones responsible for atrial fibrillation maintenance with greater accuracy compared to a conventio...

Medical and Biotech [MESH] Definitions

Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis.

A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.

Screening techniques first developed in yeast to identify genes encoding interacting proteins. Variations are used to evaluate interplay between proteins and other molecules. Two-hybrid techniques refer to analysis for protein-protein interactions, one-hybrid for DNA-protein interactions, three-hybrid interactions for RNA-protein interactions or ligand-based interactions. Reverse n-hybrid techniques refer to analysis for mutations or other small molecules that dissociate known interactions.

A neurosurgical procedure that removes the anterior TEMPORAL LOBE including the medial temporal structures of CEREBRAL CORTEX; AMYGDALA; HIPPOCAMPUS; and the adjacent PARAHIPPOCAMPAL GYRUS. This procedure is generally used for the treatment of intractable temporal epilepsy (EPILEPSY, TEMPORAL LOBE).

Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.

Quick Search


DeepDyve research library

Searches Linking to this Article