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Massachusetts Institute of Technology

Method for Recharge and Sustainable Groundwater Use Estimation Using Soil Moisture Time-Series Analysis

Abstract

dc:description.abstract

Accurately estimating groundwater recharge is essential for sustainable aquifer management, yet remains difficult to measure directly, especially at large spatial scales. This thesis presents a method to estimate recharge using soil moisture drydown dynamics—the period following precipitation during which soil water is lost to evaporation and drainage. A two-component continuous loss function was developed to model this moisture loss, separating evaporation and drainage processes in a physically consistent, mathematically tractable framework. Using high temporal resolution in situ data from the ARM Southern Great Plains site, the method was calibrated and validated, showing that daily or sub-daily data capture the full shape of the loss function. A key outcome was the derivation of a hydrologic length scale (λ) from precipitation and soil moisture data, enabling conversion of unitless drainage estimates into physically meaningful recharge fluxes (mm/day). The methodology was then applied to satellite-based soil moisture data from the SMAP mission and the combined SMAPSMOS product. Despite resolution and noise limitations, these datasets produced reasonable drainage estimates, and the combined product showed particular promise for capturing drydowns at global scale. The findings demonstrate that soil moisture observations—when analyzed with appropriate temporal resolution and physical modeling—can provide a scalable, remote sensing-based approach to estimating groundwater recharge worldwide.

Degree

thesis:*
Name thesis:degree_name
Bachelor
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kummel, Kathryn
Advisor dc:contributor.advisor
  • Entekhabi, Dara

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/159902
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/159902

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Kummel, Kathryn. Method for Recharge and Sustainable Groundwater Use Estimation Using Soil Moisture Time-Series Analysis. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/159902