THE NEED FOR CONTROLLED INFORMATION PROCESSING IN THE VISUAL ACQUISITION OF ROUTE KNOWLEDGE

The route knowledge of participants who performed a concurrent task during a simulated route-learning exercise was compared to that of participants engaged only in the route-learning exercise by employing tests of scene recognition, distance estimation and map verification. Results indicated performance decrements on the scene recognition and distance estimation tasks on the part of participants in the concurrent task condition, thus supporting the interpretation that these tasks were sensitive to the reduction in available attentional resources. Performance on the map verification task was generally poor, a fact that may have masked the general effect of the concurrent task manipulation. Comparisons involving only those subgroups for which performance was above chance level provided evidence that this task was also sensitive to the availability of resources. In addition, results from the map verification task clearly pointed to map orientation as an important factor influencing the ability to recognize a cartographic representation of a path of movement within a large-scale environment.     

Effects of compost biocovers on gas flow and methane oxidation in a landfill cover

Previous publications described the performance of biocovers constructed with a compost layer placed on select areas of a landfill surface characterized by high emissions from March 2004 to April 2005. The biocovers reduced CH₄ emissions 10-fold by hydration of underlying clay soils, thus reducing the overall amount of CH₄ entering them from below, and by oxidation of a greater portion of that CH₄. This paper examines in detail the field observations made on a control cell and a biocover cell from January 1, 2005 to December 31, 2005. Field observations were coupled to a numerical model to contrast the transport and attenuation of CH₄ emissions from these two cells. The model partitioned the biocover’s attenuation of CH₄ emission into blockage of landfill gas flow from the underlying waste and from biological oxidation of CH₄. Model inputs were daily water content and temperature collected at different depths using thermocouples and calibrated TDR probes. Simulations of CH₄ transport through the two soil columns depicted lower CH₄ emissions from the biocover relative to the control. Simulated CH₄ emissions averaged 0.0 g m^?2 d^?1 in the biocover and 10.25 g m^?2 d^?1 in the control, while measured values averaged 0.04 g m^?2 d^?1 in the biocover and 14 g m^?2 d^?1 in the control. The simulated influx of CH₄ into the biocover (2.7 g m^?2 d^?1) was lower than the simulated value passing into the control cell (29.4 g m^?2 d^?1), confirming that lower emissions from the biocover were caused by blockage of the gas stream. The simulated average rate of biological oxidation predicted by the model was 19.2 g m^?2 d^?1 for the control cell as compared to 2.7 g m^?2 d^?1 biocover. Even though its V_max was significantly greater, the biocover oxidized less CH₄ than the control cell because less CH₄ was supplied to it.     

On the Evaluation of Predictions from a Gaussian Plume Model

The performance of a CRSTER equivalent Gaussian plume model (CEQM) is examined using data from the EPRI Plume Model Validation study at the Klncaid, Illinois site. Four-way comparisons are made on the ordered statistics or the cumulative frequency distribution (CFD) of maximum hourly observed and predicted concentrations. Using the uniform random distribution and the lognormal random distribution as simple predictive schemes without any physical context, it Is found that the CEQM predicts a concentration CFD which matches the observed CFD significantly closer than the CFD predicted by the uniform random distribution. The two-parameter lognormal random distribution predicts the concentration CFD better than the CEQM over all concentration ranges; however, the CEQM fits the upper range of the concentration distribution better than the lognormal random distribution,, despite the fact that the predictions are generated using dispersion conditions entirely different from those of the observations. The nature of this ergodicity of distribution is probed by exercising CEQM using randomized input based on the observed frequency distributions of the Input parameters instead of feeding the hour-by-hour model input matched by time into CEQM as is customarily done. The exercise of the model by uncoupling the time linkage in model Input has no systematic effect on the predicted cumulative frequency distribution of concentrations. Only at the highest concentration range (99.5% or higher) do the two sets of predictions begin to diverge.     

A SCALED HYDRAULIC MODEL OF THE PEACH BOTTOM ATOMIC POWER STATION DISCHARGE1

ABSTRACT: A scaled hydraulic model was used as a schematic representation of the Peach Bottom Atomic Power Station (PBAPS) discharge into Conowingo Pond during critically low river flows. The model approximated flow and temperature patterns and the degree of recirculation are assessed. Under normal operation the effluent is carried downstream and dissipated within about two miles. However, during dry weather years, river inflows can decrease substantially, resulting in unknown recirculation of effluent and flow patterns in Conowingo Pond. This study was conducted to investigate and predict flow patterns in Conowingo Pond under critically dry weather conditions. A threshold river flow is also identified that indicates a measure of the river's ability to maintain downstream advection of the effluent. The study suggests a number of unexpected current patterns, potential recirculation of the effluent, and changes in the dilution of the effluent.     

Development and Application of the 2010 Chesapeake Bay Watershed Total Maximum Daily Load Model

The Phase 5.3 Watershed Model simulates the Chesapeake watershed land use, river flows, and the associated transport and fate of nutrient and sediment loads to the Chesapeake Bay. The Phase 5.3 Model is the most recent of a series of increasingly refined versions of a model that have been operational for more than two decades. The Phase 5.3 Model, in conjunction with models of the Chesapeake airshed and estuary, provides estimates of management actions needed to protect water quality, achieve Chesapeake water quality standards, and restore living resources. The Phase 5.3 Watershed Model tracks nutrient and sediment load estimates of the entire 166,000 km² watershed, including loads from all six watershed states. The creation of software systems, input datasets, and calibration methods were important aspects of the model development process. A community model approach was taken with model development and application, and the model was developed by a broad coalition of model practitioners including environmental engineers, scientists, and environmental managers. Among the users of the Phase 5.3 Model are the Chesapeake watershed states and local governments, consultants, river basin commissions, and universities. Development and application of the model are described, as well as key scenarios ranging from high nutrient and sediment load conditions if no management actions were taken in the watershed, to low load estimates of an all‐forested condition.     

Reducing Air Pollutant Emissions at Airports by Controlling Aircraft Ground Operations

Potential reductions in air pollutant emissions were determined for four strategies to control aircraft ground operations at two case study airports, Los Angeles and San Francisco International Airports. Safety, cost, and fuel savings associated with strategy implementation were examined.

Two strategies, aircraft towing and shutdown of one engine during taxi operations, provided significant emission reductions. However, there are a number of safety problems associated with aircraft towing. The shutdown of one engine while taxiing was found to be the most viable strategy because of substantial emission reductions, cost benefits resulting from fuel savings, and no apparent safety problems.