HR: 0830h
AN: H11C-0882    [PDF]
TI: The Use of Geographic Information System Technologies in a Groundwater Model of the Chicot Aquifer System
AU: Hartono, S
EM: sharton@lsu.edu
AF: Dept. of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803 United States
AU: * Willson, C S
EM: cwillson@lsu.edu
AF: Dept. of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803 United States
AB: The flexibility and scalability of a regional scale groundwater model can be improved by utilizing Geographic Information Systems (GIS) technology in all aspects of the modeling effort. A groundwater model of the Chicot aquifer in southwestern Louisiana is currently being developed to assist in the development and management of the groundwater resource. Georeferencing the model allows model developers to incorporate different types of data, often from different sources, following a single coordinate system. For example, the Louisiana Department of Transportation and Development (LADOTD) maintains a GIS water well database that allows water wells to be easily incorporated into the model as analytical element wells; this database can be combined with a specified pumping rate based on the category of use and spatial location of the well. GIS also allows for non-point data such as geological structure and hydrogeological parameters (e.g., storage, recharge, etc.) to be incorporated into the model and easily updated as more detailed information and data becomes available. In terms of scalability, the modeler can decide how detailed and what data is considered important in the model; the use of GIS allows for the information and data to either be represented as specific or lumped features. This capability is being utilized through the use of telescopic mesh refinement (TMR) to model parish-scale sections of the aquifer system. The presentation will show how GIS technologies have allowed for a vast amount of information and data to be incorporated into the Chicot aquifer regional groundwater flow model and how the use of GIS has allowed for continual model improvement through the incorporation of more accurate spatial data. Finally, we will show how rainfall data and remote sensing data, identifying the location of agricultural fields, can be combined to improve our ability to accurately incorporate irrigation-related groundwater pumping into the model.
DE: 1829 Groundwater hydrology
DE: 1884 Water supply
SC: Hydrology [H]
MN: 2003 Fall Meeting