Residential Exposure Assessment

Driver, Jeffrey; Ross, John H.; Pandian, Muhilan D.; Evans, Jeffrey B.; Whitmyre, Gary K.

doi:10.1016/b978-0-12-374367-1.00049-5

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…Therefore, the importance of accurately characterizing the upper bound of uncertainty in predicting pollutant concentrations was highlighted in previous studies. 39,40 The SB-RFM can certainly contribute to this goal.…”

Section: Discussionmentioning

confidence: 99%

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations

Huang

Zheng

et al. 2017

Environ. Sci. Technol.

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The traditional reduced-form model (RFM) based on the high-order decoupled direct method (HDDM), is an efficient uncertainty analysis approach for air quality models, but it has large biases in uncertainty propagation due to the limitation of the HDDM in predicting nonlinear responses to large perturbations of model inputs. To overcome the limitation, a new stepwise-based RFM method that combines several sets of local sensitive coefficients under different conditions is proposed. Evaluations reveal that the new RFM improves the prediction of nonlinear responses. The new method is applied to quantify uncertainties in simulated PM concentrations in the Pearl River Delta (PRD) region of China as a case study. Results show that the average uncertainty range of hourly PM concentrations is -28% to 57%, which can cover approximately 70% of the observed PM concentrations, while the traditional RFM underestimates the upper bound of the uncertainty range by 1-6%. Using a variance-based method, the PM boundary conditions and primary PM emissions are found to be the two major uncertainty sources in PM simulations. The new RFM better quantifies the uncertainty range in model simulations and can be applied to improve applications that rely on uncertainty information.

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Section: Discussionmentioning

confidence: 99%

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations

Huang

Zheng

et al. 2017

Environ. Sci. Technol.

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Pesticide Exposure from Residential and Recreational Turf

Klonne

Clark

2010

Hayes' Handbook of Pesticide Toxicology

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Residential Exposure Assessment

Cited by 2 publications

References 44 publications

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations

Pesticide Exposure from Residential and Recreational Turf

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Residential Exposure Assessment

Cited by 2 publications

References 44 publications

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM2.5 Simulations

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM2.5 Simulations

Pesticide Exposure from Residential and Recreational Turf

Contact Info

Product

Resources

About

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations

A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM_2.5 Simulations