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Statistical methods in water resources

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The article was published on 1992-01-01 and is currently open access. It has received 2811 citations till now. The article focuses on the topics: Water resources.

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openair - An R package for air quality data analysis

TL;DR: It is demonstrated how air pollution data can be analysed quickly and efficiently and in an interactive way, freeing time to consider the problem at hand.
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Past and future changes in climate and hydrological indicators in the US Northeast

TL;DR: In this article, the authors examined past and future changes in key climate, hydrological, and biophysical indicators across the US Northeast (NE) by considering the extent to which simulations of twentieth century climate from nine atmosphere-ocean general circulation models (AOGCMs) are able to reproduce observed changes in these indicators.
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Streamflow trends in the United States

TL;DR: In this paper, the authors evaluated trends in streamflow for 395 climate-sensitive streamgaging stations in the conterminous United States using the nonparametric Mann-Kendall test.
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Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits

TL;DR: In this article, the authors consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables) and find that the fill-in approach generally produces unbiased parameter estimates but may produce biased variance estimates and thereby distort inference when 30% or more of the data are below detection limits.
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Efficiency of conventional drinking-water-treatment processes in removal of pharmaceuticals and other organic compounds

TL;DR: Samples of water and sediment from a conventional drinking-water-treatment plant were analyzed for 113 organic compounds that included pharmaceuticals, detergent degradates, flame retardants and plasticizers, polycyclic aromatic hydrocarbons, fragrances and flavorants, pesticides and an insect repellent, and plant and animal steroids.