Julian D. Marshall

TL;DR: In this article, a general methodology has been developed for investigating the effect of short-term temporal variability in infiltration on the long-term transport of contaminants in soils A one-dimensional unsaturated transport model was used to simulate the transport of a sorbing, nonvolatile solute, using either steady state or randomly varying infiltration Concentration breakthrough curves are plotted against time and cumulative infiltration for constant rainfall, and for five, random-rainfall realizations.

TL;DR: An absolute principal component score (APCS) analysis of on-road mobile measurements is a straightforward, efficient method for identifying the major contributors of traffic-related pollutants, deriving fuel-based emission factors, and mapping spatial patterns.

TL;DR: In this article, the authors developed a readily scalable algorithm based on spatial-increment to decompose the air pollution concentration into four spatial components: long-range, mid-range and neighborhood.

TL;DR: In this article, the authors present results of an emission characterization effort, completed as part of a larger intervention trial, of a carbon-finance-approved program replacing traditional cookstoves with "rocket"-style natural draft stoves.

TL;DR: In this article, a large national dataset of fine particulate matter (PM2 5) and ozone air pollution from the US Environmental Protection Agency indicate opposing differences in average concentrations during the covid response period, relative to expected levels.