Air emission flux from contaminated dredged materials stored in a pilot-scale confined disposal facility

A pilot-scale field simulation was conducted to estimate the air emissions from contaminated dredged material stored in a confined disposal facility (CDF). Contaminated dredged material with a variety of organic chemicals, obtained from Indiana Harbor Canal, was used in the study. It was placed in an outdoor CDF simulator (i.e., a lysimeter of dimensions 4 ft x 4 ft x 2 ft). A portable, dynamic flux chamber was used to periodically measure emissions of various polynuclear aromatic hydrocarbons (PAHs). A weather station was set up to monitor and record the meteorological conditions during the experiment. The fluxes of several PAHs were monitored over time for 6 1/2 months. Initial 6-hr average fluxes varied from 2 to 20 ng/cm2/hr for six different PAHs. The flux values declined rapidly for all compounds soon after placement of the dredged material in the CDE Chemical concentrations derived from flux values were generally of low magnitude compared with ambient standards. Data obtained from the experiment were compared against those predicted using models for air emissions. Model simulations showed that initially the flux was largely from exposed pore water from saturated (wet) sediment, whereas the long-term flux was controlled by diffusion through the pore air of the unsaturated sediment. Model predictions generally overestimated the measured emissions. A rainfall event was simulated, and the dredged material was reworked to simulate that typical of a CDF operation. Increased flux was observed upon reworking the dredged material.     

Methodology for designing air quality monitoring networks: II. Application to Las Vegas,Nevada, for carbon monoxide

An objective methodology presented in a companion paper (Liu et al., 1986) for determining the optimum number and disposition of ambient air quality stations in a monitoring network for carbon monoxide is applied to the Las Vegas, Nevada, area. The methodology utilizes an air quality simulation model to produce temporally-varying air quality patterns for each of a limited number of meteorological scenarios representative of the region of interest. These air quality patterns in turn serve as the data base in a two-step procedure for the identification and ranking of the most desirable monitoring locations (step 1) and the removal of redundancies in spatial coverage among the desired locations (step 2.)The performance of the air quality simulation model, a key element in the design methodology, was evaluated in the Las Vegas area in a special field measurement program. In the Las Vegas demonstration for carbon monoxide, 19 stations covering concentration maxima and 3 stations covering background concentrations in rural areas were identified and ranked. A 10-station network, for example, consisting of 7 stations for peak average concentrations and 3 stations for background concentrations, was selected for a desired minimum detection capability of 50% of concentration variations. Networks with fewer stations would be selected if smaller minimum detection capabilities of concentration variations are acceptable, and vice versa. Background stations could, of course, be deleted for networks with the sole purpose of discerning peak concentrations.Although the research described in this article has been funded wholly or in part by the United States Environmental Protection Agency through Contract No. 68-03-2446 to Systems Application, Inc., it has not been subjected to Agency review and therefore does not necessarily reflect the views of the Agency and no official endorsement should be inferred.     

Yeasts from the North Sea

Yeasts were isolated from twelve established sites in the North Sea from 1964 to 1966. A percentage frequency of 99% with populations varying from <10 to >3000 viable cells/L was observed. This mycota was characterized by considerable spatial and temporal fluctuation, with the dominant yeast present being the ascosporogenous species, Debaryomyces hansenii. This taxon, as well as other common North Sea yeasts, e.g., Rhodotorula rubra and Candida diddensii, have been reported frequently from other marine locales. Noteworthy concentrations of yeasts, especially D. hansenii, were observed during summer months, often in association with various stages of development of the dinoflagellate, Noctiluca miliaris. The population dynamics of the North Sea yeasts are discussed in relation to similar studies of other marine environments.     

Ecological investigations of the marine nematode Metoncholaimus scissus

Significant concentrations of the large oncholaimid Metoncholaimus scissus Wieser and Hopper (1967) (>7000 animals/24 cm² area or 2.68x10⁶ specimens/m²) have been noted in soft-bottom turtle grass communities. Activities of the nematode frequently show an indirect relationship to blooms of the benthic diatom Pleurosigma balticum. Analysis of biomass data for M. scissus (as much as 28 g wet weight/m²) demonstrate the importance of microsite activity and sensitivity of the species to small significant changes in the benthic environment.This work was supported by grant GM 12824 from the National Institutes of Health to the Institute of Marine and Atmospheric Sciences, University of Miami. Contribution No. 1188 from the Institute of Marine and Atmospheric Sciences, University of Miami and from the Entomology Research Institute, Research Branch, Canada Department of Agriculture, Ottawa.     

Perspectives on Disconnects Between Scientific Information and Management Decisions on Post-fire Recovery in Western US

Environmental regulations frequently mandate the use of “best available” science, but ensuring that it is used in decisions around the use and protection of natural resources is often challenging. In the Western US, this relationship between science and management is at the forefront of post-fire land management decisions. Recent fires, post-fire threats (e.g. flooding, erosion), and the role of fire in ecosystem health combine to make post-fire management highly visible and often controversial. This paper uses post-fire management to present a framework for understanding why disconnects between science and management decisions may occur. We argue that attributes of agencies, such as their political or financial incentives, can limit how effectively science is incorporated into decision-making. At the other end of the spectrum, the lack of synthesis or limited data in science can result in disconnects between science-based analysis of post-fire effects and agency policy and decisions. Disconnects also occur because of the interaction between the attributes of agencies and the attributes of science, such as their different spatial and temporal scales of interest. After offering examples of these disconnects in post-fire treatment, the paper concludes with recommendations to reduce disconnects by improving monitoring, increasing synthesis of scientific findings, and directing social-science research toward identifying and deepening understanding of these disconnects.     

An international waste convention: measures for achieving sustainable development.

Waste is a by-product of economic growth. Consequently, economic growth presents challenges for sustainable resource management and development because continued economic growth implies continued growth in waste outputs. Poor management of waste results in the inappropriate depletion of natural resources and potentially adverse effects on the environment, health and the economy. It is unsustainable. This paper begins by outlining the magnitude of and the current response to the growth in the quantity of waste outputs. This is followed by a consideration of why the international response to date, including the Rio Declaration and Agenda 21, fails to address the issue adequately. The paper concludes with a discussion on why and how an international treaty or other measure could advance sustainable development by providing an appropriate framework within which to address the problem.     

Effects of Soil Moisture Variations on Deposition Velocities Above Vegetation

The parameterized subgrid-scale surface flux (PASS) modelprovides a simplified means of using remote sensing data from satellites and limited surface meteorological information to estimate the influence of soil moisture on bulk canopy stomatalresistances to the uptake of gases over extended areas.PASS-generated estimates of bulk canopy stomatal resistance were usedin a dry deposition module to compute gas deposition velocitieswith a horizontal resolution of 200 m for approximately 5000 km² of agricultural crops and rangeland. Results were compared with measurements of O₃ flux and concentrations made during April and May 1997 at two surface stations and from an aircraft. The trend in simulated O₃ deposition velocityduring soil moisture drydown over a period of a few days matchedthe trend observed at the two surface stations. For areas underthe aircraft flight paths, the variability in simulated O₃ deposition velocity was substantially smaller than the observedvariability, while the averages over tens of kilometers were usually in agreement within 0.1 cm s^-1. Model results indicated that soil moisture can have a major role in depositionof O₃ and other substances strongly affected by canopy stomatal resistance.