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Application of Geophysical Methods to Enhance Aquifer Characterization and Groundwater-Flow Model Development, Des Moines River Alluvial Aquifer, Des Moines, Iowa, 2022

Fact Sheet 2023-3006
By: , , , and 
https://doi.org/10.3133/fs20233006

Links

  • Document: Report (2.95 MB pdf) , HTML , XML
  • Dataset: USGS dataset —National Hydrography Dataset— USGS National Hydrography Dataset Best Resolution for Hydrologic Unit 4 – 2001
  • Data Releases:
    • USGS data release - Geophysical data collected in the Des Moines River, Beaver Creek, and the Des Moines River floodplain, Des Moines, Iowa, 2018
    • USGS data release - MODFLOW-NWT model used to simulate groundwater levels in the Des Moines River alluvial aquifer near Des Moines, Iowa
  • Download citation as: RIS | Dublin Core

Abstract

Des Moines Water Works (DMWW) is one of the largest water providers in Iowa and as population growth continues, demand for drinking water is increasing. DMWW uses groundwater and surface water as raw water sources to supply the City of Des Moines and surrounding communities. In response to current and future demands, DMWW is in need of a thorough understanding of local groundwater resources, specifically the Des Moines River alluvial aquifer. The Des Moines River alluvial aquifer is hydraulically connected to the Des Moines River and consists of alluvial deposits and glacial outwash sands and gravels. To ensure a sustainable groundwater supply, additional information to better understand and manage groundwater availability within the Des Moines River alluvial aquifer would be beneficial. Beginning in 2018, DMWW partnered with the U.S. Geological Survey to construct a groundwater-flow model to increase understanding of the hydrologic system in the Des Moines area. The model hydrogeologic framework will be enhanced by using multiple geophysical methods of data collection in the Des Moines River, Beaver Creek, and the Des Moines River alluvial aquifer that could provide a better understanding of the geology in the model area.

Suggested Citation

Thomas, J.C., Spring, M.A., Gruhn, L.R., and Bristow, E.L., 2023, Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022: U.S. Geological Survey Fact Sheet 2023–3006, 4 p., https://doi.org/10.3133/fs20233006.

ISSN: 2327-6932 (online)

Study Area

Table of Contents

  • Introduction
  • Study Objectives
  • Groundwater-Flow Model Background
  • Geophysical Methods Approach
  • References Cited
Publication type Report
Publication Subtype USGS Numbered Series
Title Application of geophysical methods to enhance aquifer characterization and groundwater-flow model development, Des Moines River alluvial aquifer, Des Moines, Iowa, 2022
Series title Fact Sheet
Series number 2023-3006
DOI 10.3133/fs20233006
Year Published 2023
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Central Midwest Water Science Center
Description Report: 4 p.; 2 Data Releases; Dataset
Country United States
State Iowa
City Des Moines
Other Geospatial Des Moines River
Online Only (Y/N) Y
Google Analytic Metrics Metrics page
Additional publication details