Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process

Guerrón-Orejuela, Edgar J.; Rains, Kai C.; Brigino, Tyelyn M.; Kleindl, William J.; Landry, Shawn M.; Spellman, Patricia; Walker, Coowe M.; Rains, Mark C.

doi:10.3390/rs15102630

i

Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process

2023
By Guerrón-Orejuela, Edgar J. ; Rains, Kai C. ; Brigino, Tyelyn M. ; ...

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Journal Title:

Remote Sensing
Personal Author:

Guerrón-Orejuela, Edgar J. ; Rains, Kai C. ; Brigino, Tyelyn M. ; Kleindl, William J. ; Landry, Shawn M. ; Spellman, Patricia ; Walker, Coowe M. ; Rains, Mark C.
NOAA Program & Office:

NOS (National Ocean Service)
Description:

Understanding where groundwater recharge occurs is essential for managing groundwater resources, especially source-water protection. This can be especially difficult in remote mountainous landscapes where access and data availability are limited. We developed a groundwater recharge potential (GWRP) map across such a landscape based on six readily available datasets selected through the literature review: precipitation, geology, soil texture, slope, drainage density, and land cover. We used field observations, community knowledge, and the Analytical Hierarchy Process to rank and weight the spatial datasets within the GWRP model. We found that GWRP is the highest where precipitation is relatively high, geologic deposits are coarse-grained and unconsolidated, soils are variants of sands and gravels, the terrain is flat, drainage density is low, and land cover is undeveloped. We used GIS to create a map of GWRP, determining that over 83% of this region has a moderate or greater capacity for groundwater recharge. We used two methods to validate this map and assessed it as approximately 87% accurate. This study provides an important tool to support informed groundwater management decisions in this and other similar remote mountainous landscapes.
Keywords:

General Earth and Planetary Sciences
Source:

Remote Sensing, 15(10), 2630
DOI:

https://doi.org/10.3390/rs15102630
ISSN:

2072-4292
Format:

PDF
Publisher:

MDPI AG
Document Type:

Journal Article
Funding:

Grant no. NA20NOS4200143
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:dde631cccb24365e3528494c562660953d2fe65afc0f93d35ce4fa1a7fe2b959
Download URL:

https://repository.library.noaa.gov/view/noaa/58779/noaa_58779_DS1.pdf
File Type:

[PDF - 18.85 MB ]

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