Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region
نویسندگان
چکیده
First posted August 3, 2023 For additional information, contact: more information about this publication, contactDirector, Lower Mississippi-Gulf Water Science CenterU.S. Geological Survey640 Grassmere Park, Suite 100Nashville, TN 37211For visithttps://www.usgs.gov/centers/lmg-water/Contact Pubs Warehouse The Mississippi Alluvial Plain is one of the most important agricultural regions in United States, and crop productivity relies on groundwater irrigation from an aquifer system whose full capacity unknown. Groundwater withdrawals River Valley alluvial have resulted substantial groundwater-level declines reductions base flow streams within Plain. These effects are limiting well production threatening future water availability region.A comprehensive assessment critically for making well-informed management decisions sustainability, establishing best practices use, predicting changes to levels over next 50–100 years. first step new regional modeling effort was run existing Embayment Regional Aquifer Study (MERAS) model perform data-worth uncertainty analyses prioritize data collection efforts improve forecasts. Parameter estimation indicated that streambed conductance variables sensitive to, but little were available constrain those general estimates.From characterization data, a map MERAS created by U.S. Survey guide 862 kilometers waterborne resistivity surveys Delta region characterize lithology. This technique characterizes itself 15–30 meters below control exchange between stream aquifer. can be used lithology identify areas potential groundwater/surface-water exchange. Additionally, electrical nuclear logs study area compared facilitate development petrophysical relation hydraulic conductivity. Resistivity values may then as cost-effective way approximate conductivity distributions use models.
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ژورنال
عنوان ژورنال: Scientific Investigations Map
سال: 2023
ISSN: ['2329-1311', '2333-7923', '2329-132X']
DOI: https://doi.org/10.3133/sim3500