Comparison of Weekly and Daily Wet Deposition Samples from an Eastern U.S. National Atmospheric Deposition Program Site

published or submitted for publicationis peer reviewedOpe

Great Lakes Atmospheric Deposition (GLAD) Network, 1982 and 1983: Data Analysis and Interpretation

This report was cited in "A Scientific Historical Review: the Atmospheric Sciences Program at the Illinois State Water Survey" (ISWS MP-171, http://hdl.handle.net/2142/49888) as Gatz, D.F., V.C. Bowersox, J. Su, and G.J. Stensland, 1988: Great Lakes Atmospheric Deposition (GLAD) Network, 1982 and 1983: Data Analysis and Interpretation. SWS Contract Report 448, Chicago, IL, 69 pp. officially issued as cited, and was not listed in the ISWS publications database nor available via the ISWS website.In the ISWS 1995 Publications Catalog, Contract Report no. 448 is: Gatz, D.F., V.C. Bowersox, J. Su, and G.J. Stensland (1988) Great Lakes Atmospheric Deposition (GLAD) Network, 1982 and 1983: Data Analysis and Interpretation. The ISWS Publications database included the EPA report number U.EPA 905-4 88-002 in a note of the CR 448 record.Under the Great Lakes Water Quality Agreement of 1972, the United States and Canada were provided a framework for the surveillance, monitoring, research, protection, and reclamation of the physical and chemical quality of the Great Lakes system. Within this framework, the monitoring of atmospheric deposition in the U.S. is coordinated by the Great Lakes National Program Office (GLNPO) of the U.S. Environmental Protection Agency (U.S. EPA, 1985). Research in the 1970's had shown that atmospheric deposition was an important source of certain organic and inorganic chemicals to lake watersheds. A network of stations to measure and characterize this deposition was established in 1976. In 1981 the GLNPO upgraded this earlier measurement network by establishing the Great Lakes Atmospheric Deposition (GLAD) network. Its purpose was to determine atmospheric loadings of metals, nutrients, and major inorganic species to the Great Lakes and to evaluate annual trends in the chemical loadings of these species to the Lakes. During 1981 and early 1982, 36 monitoring stations were installed along the U.S. shores of the 5 Lakes. The GLAD network was designed to collect wet-only deposition samples at these near-shore locations. The purpose of this study was to analyze and interpret atmospheric wet deposition data collected by the GLAD network, including: 1) an assessment of data quality, 2) a comparison of specific pairs of GLAD and National Atmospheric Deposition Program (NADP) sites, 3) estimation of atmospheric loadings of selected elements to the five Great Lakes, and 4) an analysis of the potential change in loading estimates caused by closing certain GLAD sampling sites.Ope

Study of Atmospheric Pollution Scavenging: Eighteenth Progress Report

published or submitted for publicationis peer reviewedOpe

Central Analytical Laboratory for NADP/NTN: Second Progress Report

published or submitted for publicationis peer reviewedOpe

Study of Atmospheric Pollution Scavenging: Twenty-third Progress Report

published or submitted for publicationis peer reviewedOpe

Study of Atmospheric Pollution Scavenging: Twenty-second Progress Report

published or submitted for publicationis peer reviewedOpe

Study of Atmospheric Pollution Scavenging: Twentieth Progress Report

published or submitted for publicationis peer reviewedOpe

Study of Atmospheric Pollution Scavenging: Twenty-first Progress Report

published or submitted for publicationis peer reviewedOpe

Does collaboration pay in agricultural supply chain? An empirical approach

This paper examines the effect of different types of collaboration on the level of Postharvest Food Losses (PHFL) and the proportion of low-quality peaches produced using a unique data-set of Greek peach producers. Quantile regression techniques are adopted to estimate the effects at different points of the conditional distribution of our variables of interest. The findings of this study suggest that high levels of collaboration between producers and cooperatives are associated with both low levels of PHFL and a low proportion of low-quality peaches. We also find that specific types of collaboration, such as ‘goal congruence’, can play a significant role in reducing PHFL and improving the quality of peach production at the extremes of the distribution. Important policy implications regarding collaborative practices and systems that can be implemented to reduce PHFL and boost a producer’s performance together with sustainability credentials are drawn from this study

Methods for specifying the target difference in a randomised controlled trial : the Difference ELicitation in TriAls (DELTA) systematic review

Peer reviewedPublisher PD