Identifying OSTDS Vulnerability Under Sea‐Level Rise Using GIS‐Based Multi‐Criteria Evaluation: Effects of Groundwater Response

ABSTRACT Coastal, low‐lying Onsite Sewage Treatment and Disposal Systems (OSTDS) are increasingly vulnerable to sea‐level rise (SLR) and groundwater inundation. This study developed three spatially explicit GIS‐based multi‐criteria evaluation frameworks: Bathtub‐Current, Bathtub‐Future under 2 ft (0.6 m) of SLR and MODFLOW‐Future under 2 ft (0.6 m) of SLR, which assessed OSTDS vulnerability for current and future SLR and how alternative representations of SLR‐modeled groundwater response affect vulnerability classification and prioritization by integrating SLR responses, depth to water table, saltwater intrusion, recurrent flooding, storm surge and OSTDS density using Delphi elicitation, pairwise comparison weighting and Weighted Linear Combination. At 2 ft of SLR, the bathtub approach reproduced 86% of the MODFLOW inundation extent. The three vulnerability surfaces showed strong agreement, with Pearson correlations of 0.966–0.994 and RMSE values of 0.036–0.077, although individual OSTDS classes differed. At least one framework classified 1961 OSTDS as highly vulnerable, while all three frameworks classified 577 OSTDS as highly vulnerable, among the 56,080 OSTDS evaluated. Results show hydrostatic modeling is an acceptable screening tool for regional vulnerability assessments; however, it is not interchangeable with groundwater modeling or field verification. The framework provides a screening tool with a tiered approach to prioritize monitoring and resource allocation for at‐risk OSTDS.

Authors

Institutions

Publication Details

Journal
JAWRA Journal of the American Water Resources Association
Published
2026-10-29
DOI
https://doi.org/10.1111/1752-1688.70158
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying OSTDS Vulnerability Under Sea‐Level Rise Using GIS‐Based Multi‐Criteria Evaluation: Effects of Groundwater Response

Alec Colarusso, Barnali Dixon, Joseph McDonald Smoak
2 links
JAWRA Journal of the American Water Resources Association
Flood Risk Assessment and Management
article

Identifying OSTDS Vulnerability Under Sea‐Level Rise Using GIS‐Based Multi‐Criteria Evaluation: Effects of Groundwater Response

Alec Colarusso, Barnali Dixon, Joseph McDonald Smoak
article en

Abstract

ABSTRACT Coastal, low‐lying Onsite Sewage Treatment and Disposal Systems (OSTDS) are increasingly vulnerable to sea‐level rise (SLR) and groundwater inundation. This study developed three spatially explicit GIS‐based multi‐criteria evaluation frameworks: Bathtub‐Current, Bathtub‐Future under 2 ft (0.6 m) of SLR and MODFLOW‐Future under 2 ft (0.6 m) of SLR, which assessed OSTDS vulnerability for current and future SLR and how alternative representations of SLR‐modeled groundwater response affect vulnerability classification and prioritization by integrating SLR responses, depth to water table, saltwater intrusion, recurrent flooding, storm surge and OSTDS density using Delphi elicitation, pairwise comparison weighting and Weighted Linear Combination. At 2 ft of SLR, the bathtub approach reproduced 86% of the MODFLOW inundation extent. The three vulnerability surfaces showed strong agreement, with Pearson correlations of 0.966–0.994 and RMSE values of 0.036–0.077, although individual OSTDS classes differed. At least one framework classified 1961 OSTDS as highly vulnerable, while all three frameworks classified 577 OSTDS as highly vulnerable, among the 56,080 OSTDS evaluated. Results show hydrostatic modeling is an acceptable screening tool for regional vulnerability assessments; however, it is not interchangeable with groundwater modeling or field verification. The framework provides a screening tool with a tiered approach to prioritize monitoring and resource allocation for at‐risk OSTDS.

JAWRA Journal of the American Water Resources AssociationVol. 62(6)
University of South Florida (US), University of South Florida St. Petersburg (US)
National Science Foundation
Clean water and sanitation, Sustainable cities and communities, Climate action
Openalex Percentile: Top 17%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon