D. Twardus

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The AGDISP Aerial Spray Simulation Model is used to predict the deposition of spray material released from an aircraft. The prediction is based on a well-defined set of input parameter values (e.g., release height, and droplet size) as well as constant data (e.g., aircraft and nozzle type). But, for a given deposition, what are the optimal parameter values?(More)
Front cover: top (hex): The annual Dogwood Arts Festival in Knoxville, TN celebrates one of the common tree species in Tennessee urban forests, the flowering dogwood. (photo by Christopher M. Oswalt); middle (circle): The campus of Vanderbilt University contains a beautiful urban forest landscape offering multiple benefits to attending students and the(More)
(USDA Forest Service); and the field crews who collected data in Maryland and Massachusetts. U rban forests have many components: park trees, small woodlands, riparian buffers, street trees, and others. While some communities conduct city-wide inventories of street tree populations, there has been no comprehensive, statewide sampling to characterize the(More)
Preface This report highlights findings from the first statewide urban forest health monitoring pilot study conducted in the State of Indiana in 2002. The report is in two parts—Part One summarizes analysis of the field methods and data collected on the urban nonforest plots of one panel in Indiana, and Part Two expands these data to statewide urban forest(More)
Preface Trees in cities can improve environmental quality and human health. Unfortunately, little is known about the urban forest resource and what and how it contributes to local, regional, and national societies and economies. To better understand the urban forest resource and its value, the Forest Service, U.S. Department of Agriculture, Forest Health(More)
The AGDISP Aerial Spray Simulation Model is used to predict the deposition of spray material released from an aircraft. The prediction is based on a well-defined set of input parameter values (e.g., release height, and droplet size) as well as constant data (e.g., aircraft and nozzle type). But, for a given deposition, what are the optimal parameter values?(More)
In this paper, we describe several genetic algorithm methods to deal with the spray parameter optimization problem, and compare them with the original heuristic method SAGA. 1 SUMMARY SAGA (Spray Advisor using Genetic Algorithm) was developed to heuristically search for an optimal or near-optimal set of input parameters needed to achieve a certain aerial(More)
Improving aerial spray application results is a major concern for the USDA Forest Service and Environmental Protection Agency. The AGDISP Aerial Spray Simulation Model is used to predict the deposition of spray material released from an aircraft. The prediction is based on a well-defined set of input parameter values (e.g., release height, and droplet size)(More)
Estimation of biogenic emissions with satellite-derived land use and land cover data for the air quality modeling of Houston-Galveston ozone nonattainment area. 2008. Analyzing the cost-effectiveness of Santiago de Chile's policy of using urban forests to improve air quality. Inclusion of an ultraviolet radiation transfer component in an urban forest(More)
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