Dr. Jairo Hernández joined the Department of Civil Engineering at Boise State University in 2011. He completed his Ph.D. at Utah State University in Logan in 2008. He earned his MS from “Universidad Nacional de Colombia” in 1985 and his BS from “Universidad La Gran Colombia” in 1980 both in Bogotá, Colombia. Dr. Hernández has most recently worked as a Research Engineer at the USDA-Agricultural Research Service-Conservation and Production Research Laboratory in Bushland, Texas, and as a GIS Specialist at the Geomorphology Lab at Utah State. Dr. Hernández actively researches reservoir system optimization under changing climate, water resource management under climate uncertainty, remote sensing for surface–groundwater interactions, artificial intelligence applications for water resource systems, computer modeling for water resources, and groundwater availability using remote sensing.
Articles
Groundwater Levels in Northern Texas High Plains: Baseline for Existing Agricultural Management Practices (with Prasanna H. Gowda, Thomas H. Marek, Terry A. Howell, and Wonsook Ha), Texas Water Journal (2013)
New groundwater policies are being debated for the Northern Texas High Plains because of Ogallala...
Modeling Groundwater Levels on the Calera Aquifer Region in Central Mexico Using ModFlow (with Prasanna H. Gowda, Terry A. Howell, Jean L. Steiner, Francisco Mojarro, Ernesto P. Núñez, and José R. Avila), Journal of Agricultural Science and Technology B (2012)
A conceptual model for the Calera Aquifer has been created to represent the aquifer system...
Canal Structure Automation Rules Using an Accuracy-Based Learning Classifier System, a Genetic Algorithm, and a Hydraulic Simulation Model. I: Design (with G. P. Merkley), Journal of Irrigation and Drainage Engineering (2011)
Using state-of-the-art computational techniques, a genetic algorithm (GA) and an accuracy-based learning classifier system (XCS)...
Canal Structure Automation Rules Using an Accuracy-Based Learning Classifier System, a Genetic Algorithm, and a Hydraulic Simulation Model. II: Results (with G. P. Merkley), Journal of Irrigation and Drainage Engineering (2011)
An accuracy-based learning classifier system (XCS), as described in a companion paper (Part I: Design),...
Proceeding Papers and Presentations
Assessing Canal Structure Automation Rules Using an Accuracy-Based Learning Classifier System, a Genetic Algorithm, and a Hydraulic Simulation Model in the Boise River (with Wonsook Ha and Venkataramana Sridhar), Proceedings of the World Environmental and Water Resources Congress EWRI-ASCE (2012)
Using state-of-the-art computational techniques, a genetic algorithm (GA) and an accuracy-based learning classifier system (XCS)...
Groundwater Modeling of the Calera Aquifer Region in Central Mexico (with Prasanna H. Gowda, Terry A. Howell, Jean L. Steiner, Francisco Mojarro, Ernesto P. Núñez, and José R. Avila), Proceedings of the World Environmental and Water Resources Congress EWRI-ASCE (2011)
Calera Aquifer is the main source of water for irrigated agriculture, industrial and drinking water...
Downscaling of Aircraft-, Landsat-, and MODIS-based Land Surface Temperature Images with Support Vector Machines (with Wonsook Ha, Prasanna H. Gowda, Thomas Oommen, and Terry A. Howell), Proceedings of the AGU Fall Meeting (2010)
High spatial resolution Land Surface Temperature (LST) images are required to estimate evapotranspiration (ET) at...
Downscaling Surface Temperature Images with TsHARP (with Wonsook Ha, Prasanna H. Gowda, Terry A. Howell, George Paul, and Sukantu Basu), Proceedings of the 5th Decennial Conference in Irrigation and Drainage (2010)
Daily evapotranspiration (ET) maps would significantly improve assessing crop water requirements, especially in the Texas...
Evaluation of Four Water Management Policies for Ogallala Aquifer Sustainability in the Texas High Plains (with Prasanna Gowda, Terry Howell, Thomas Marek, Wonsook Ha, and Lal Almas), American Geophysical Union Meeting, Paper No. H11L-0931 (2010)
Diminishing groundwater supply in the Ogallala Aquifer will severely reduce regional crop and animal production...