TY - JOUR
T1 - Using Multiple Points Statistics in Indian Wells Valley, California to estimate the aquifer storage capacity
AU - Rasmussen, T. B.
AU - Gulbrandsen, M. L.
N1 - Publisher Copyright:
© 2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2022, NSG 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The recently finalized Stanford Groundwater Architecture Project (GAP) was designed to define the optimal workflow using advanced geophysical and computational methods for the development of hydrogeological conceptual models (HCMs) in California. The basin in Indian Wells Valley (IWV) was one of the pilot areas in the project and is categorized by the California Department of Water Resources as subject to critical conditions of overdraft and is categorized as a High Priority Basin under the California Sustainable Groundwater Management Act. Being able to map the potential aquifers in the IWV is therefore of great importance. To do this, Multiple Points Statistics (MPS) were used. The target of the MPS simulations was to locate potential local aquifers within a hydrogeologic zone mainly consisting of clay, and in turn to estimate their groundwater storage capacity. This was done by combining Airborne Electromagnetic data, borehole information, and geological background knowledge, and to compute 75 extensive 3D models of the area. Based on the simulated models, we could point out areas with increased probability of being local aquifers and compute their potential storage capacity.
AB - The recently finalized Stanford Groundwater Architecture Project (GAP) was designed to define the optimal workflow using advanced geophysical and computational methods for the development of hydrogeological conceptual models (HCMs) in California. The basin in Indian Wells Valley (IWV) was one of the pilot areas in the project and is categorized by the California Department of Water Resources as subject to critical conditions of overdraft and is categorized as a High Priority Basin under the California Sustainable Groundwater Management Act. Being able to map the potential aquifers in the IWV is therefore of great importance. To do this, Multiple Points Statistics (MPS) were used. The target of the MPS simulations was to locate potential local aquifers within a hydrogeologic zone mainly consisting of clay, and in turn to estimate their groundwater storage capacity. This was done by combining Airborne Electromagnetic data, borehole information, and geological background knowledge, and to compute 75 extensive 3D models of the area. Based on the simulated models, we could point out areas with increased probability of being local aquifers and compute their potential storage capacity.
UR - http://www.scopus.com/inward/record.url?scp=85161549349&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202220087
DO - 10.3997/2214-4609.202220087
M3 - Conference article in journal
AN - SCOPUS:85161549349
JO - 3rd Conference on Airborne, Drone and Robotic Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2022, NSG 2022
JF - 3rd Conference on Airborne, Drone and Robotic Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2022, NSG 2022
T2 - 3rd Conference on Airborne, Drone and Robotic Geophysics, Held at the Near Surface Geoscience Conference and Exhibition 2022, NSG 2022
Y2 - 18 September 2022 through 22 September 2022
ER -