| Literature DB >> 33828349 |
Bradley C Saul1, Michael G Hudgens1, Michael A Mallin2.
Abstract
The United States Environmental Protection Agency considers nutrient pollution in stream ecosystems one of the U.S.' most pressing environmental challenges. But limited independent replicates, lack of experimental randomization, and space- and time-varying confounding handicap causal inference on effects of nutrient pollution. In this paper the causal g-methods are extended to allow for exposures to vary in time and space in order to assess the effects of nutrient pollution on chlorophyll a - a proxy for algal production. Publicly available data from North Carolina's Cape Fear River and a simulation study are used to show how causal effects of upstream nutrient concentrations on downstream chlorophyll a levels may be estimated from typical water quality monitoring data. Estimates obtained from the parametric g-formula, a marginal structural model, and a structural nested model indicate that chlorophyll a concentrations at Lock and Dam 1 were influenced by nitrate concentrations measured 86 to 109 km upstream, an area where four major industrial and municipal point sources discharge wastewater.Entities:
Keywords: g-formula; marginal structural models; potential outcomes; structural nested models
Year: 2019 PMID: 33828349 PMCID: PMC8023568 DOI: 10.1080/01621459.2019.1574226
Source DB: PubMed Journal: J Am Stat Assoc ISSN: 0162-1459 Impact factor: 5.033