Hydrologic simulation from a historical perspective, starting with the early watershed models to more modern, integrated approaches that realize blueprints laid out fifty years ago will be presented. The lecture will also discuss how computational advances are shaping our simulation capabilities, changing the questions that we are able to ask as scientist, and changing how we educate our students.
This presentation will showcase the application of density functional theory in combination with the growing string method, a novel reaction pathway finding technique, to elucidate the cationic polymerization mechanism of polyisobutylene. Additionally, the role of defects on the decomposition of chemical warfare agent simulants in Zr-based metal organic framework will be discussed. Lastly, a formalism for accurate estimation of dipole moment using quantum mechanics for complex molecules having conformational degrees of freedom and its application for estimating thermal physical properties will be presented.
The Digital Index of North American Archaeology (DINAA) is a completely free, big data, open government data and open science project, centered at several public institutions, developing a novel linked-open data network of archaeological site primary data and related records across the internet. Archaeology's disciplinary capacity to engage with the principles of openness will be addressed through DINAA's interoperability assessments and experiments with open data.
A 9-year study was conducted on a 6.5 ha corn-soybean field in Central Illinois to evaluate one design approach — the strategic placement of shrub willow buffers on marginal land in a row crop production system for feedstock production and the provision of ecosystem services. This presentation will highlight the many ecosystem services provided by willows in this production system as well as the importance of design parameters, such as buffer position, on study results.
This seminar will provide an overview of the Energy & Environment Lab's work and methodological approach and discuss illustrative projects, including: a) a randomized control trial leveraging real-time data for monitoring and enforcement of water conservation policies; b) developing predictive analytics models to improve inspection efficiency at the U.S. Environmental Protection Agency, and c) introducing and testing the impact of advanced remote sensing technology to help state agencies reduce air pollution.
This talk will highlight two research advances: (1) the metabolic network for simultaneous processing of aromatic and sugar monomers by soil bacteria and (2) the speciation complexity of phosphorus and carbon recycling by iron-bearing minerals. The findings provide important new insights into the metabolic versatility of certain soil bacteria and the diversity of catalytic specificity of soil minerals. These insights provide new grounds for technological advances in metabolic engineering, agriculture, and environmental engineering.
The C-band dual Polarization Radar (CPOL) collected 17 seasons of full volume scans documenting the macro, microphysical and kinematic properties of precipitating systems over Darwin, Australia where the Madden Julian Oscillation and the Northern Australian Monsoon occur. From this dataset, echo top heights (ETHs) and the diurnal cycle of precipitation, key diagnostics of model performance, from the CPOL dataset are examined in order to provide an observational target for global circulation models.
In this research, one of the most commonly used fire indices (Keetch-Byram Drought Index, KBDI) was calculated to establish a scientific approach to assessing future potential fire activity under climate change. First, the KBDI for the contiguous United States was calculated using high resolution (4-km), high quality observation data (Parameter elevation Regression on Independent Slopes Model, PRISM) for the last 40 years (1978-2017).
Dr. Bajgain's research focuses on use of various tools and methods such as field observations (eddy covariance and automated chamber), remote sensing data, and process-based, light use efficiency and statistical models to quantify biophysical and biogeochemical feedbacks of ecosystems to climate and management variability.
Soil salinization is a global problem affecting 10% of agricultural soils, particularly in arid-lands. This study investigated calcite (CaCO3) loading by flood-irrigation in the arid southwest of the United States and its effect on C-cycling. To evaluate the impact of flood-irrigation on CaCO3 buildup, a natural soil and two flood-irrigated agricultural soils were studied in El Paso, TX.