|BAILEY, RYAN - Colorado State University|
|KISEKKA, ISAYA - Kansas State University|
|NOZARI, SOHEIL - Colorado State University|
|RAY, CHITTARANJAN - University Of Nebraska|
|UDDAMARI, VENKI - Texas Tech University|
|LIN, XIAOMAO - Kansas State University|
|ANDALES, ALAN - Colorado State University|
|VARA PRASAD, P - Kansas State University|
|SCHIPANKSI, MEAGAN - Colorado State University|
|WASKOM, REAGON - Colorado State University|
Submitted to: Miscellaneous Publishing Information Bulletin
Publication Type: Abstract Only
Publication Acceptance Date: 7/17/2017
Publication Date: 6/13/2017
Citation: Bailey, R., Gowda, P.H., Kisekka, I., Nozari, S., Ray, C., Uddamari, V., Lin, X., Andales, A., Vara Prasad, P.V., Schipanksi, M., Waskom, R. 2017. An integrated modeling framework for investigating water management practices in the Ogallala Aquifer region[abstract]. 2017 UCOWR/NIWR Conference, June 13-15, 2018, Fort Collins, Colorado. Session 15, p.42.
Interpretive Summary: Abstract Only.
Technical Abstract: With relatively low recharge rates, the Ogallala Aquifer Region (OAR) has experienced declining groundwater levels over the past half-century due to excessive groundwater pumping for irrigated agriculture. Current rates of groundwater extraction are not sustainable to maintain adequate groundwater supply for the coming decades. In addition, climate change forecasts predict an increase in the duration and intensity of drought periods during the next 50 years. To evaluate the potential of future management and policy options to maintain rural economies in the OAR requires a coordinated effort among growers, agronomists, hydrologists and economists. This paper outlines an integrated modeling framework that will link land surface and groundwater hydrology, agronomics, and downscaled Global Climate Models (GCM) outputs to investigate alternative management practices for optimizing agricultural water use in the OAR. It is developed for use in an ongoing USDA-NIFA funded Cooperative Agricultural Project that seeks to optimize groundwater use in the OAR to sustain food production systems, rural communities, and ecosystem services. It consists of the DSSAT (Decision Support System for Agrotechnology Transfer) cropping system model, coupled with the SWAT (Soil Water Assessment Tool, for watershed hydrology) and MODFLOW (for groundwater hydrology). A case study will be presented and discussed in detail to demonstrate the application of the proposed integrated modeling framework.