John Carbone

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Nonylphenol (NP) and other hydrophobic biodegradation intermediates of nonylphenol ethoxylate (NPE) surfactants have been identified in wastewater treatment biosolids. These biosolids often are land applied, but little is known regarding the potential uptake of biosolid-derived contaminants by plants. Hydroponic experiments, 11 to 14 weeks in duration, were(More)
Computer models are being increasingly used to provide an efficient cost-effective means of evaluating the fate and behavior of chemicals in the environment. These models can be used in lieu of or in conjunction with field studies. Because of the increasing reliance on models for critical regulatory decision making, the need arose to assess the validity of(More)
Many disciplines are wrought with high levels of uncertainty and many unknowns including transdisciplinary design. Hence, to achieve some advancement within a discipline, we must provide aids in achieving mitigation of complexity and increasing understanding. We achieve this by investigating beyond the boundaries of the existing discipline’s design(More)
Individuals from the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) Environmental Model Validation Task Force (FEMVTF) Statistics Committee periodically met to discuss the mechanism for conducting an uncertainty analysis of Version 3.12 of the pesticide root zone model (PRZM 3.12) and to identify those model input parameters that most(More)
Advances in both low-level and high-level fusion continue to be made at an increasingly accelerated pace. With the value of Information Fusion now being recognized as applicable to several domain problems, comes the need to develop a systematic and cohesive approach to address the Enterprise Multi-Level Fusion Lifecycle. It is no longer sufficient to(More)
A user interface to the U.S. Environmental Protection Agency pesticide root zone model (PRZM) was constructed to allow Monte Carlo sampling of input parameter distributions. The interface was constructed employing the Visual Basic for Applications development environment, along with the functionality of the Crystal Ball Professional forecasting and risk(More)
Research shows that generating new knowledge is accomplished via natural human means: mental insights, scientific inquiry process, sensing, actions, and experiences, while context is information, which characterizes the knowledge and gives it meaning [8]. This knowledge is acquired via scientific research requiring the focused development of an established(More)
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