Evidence map›Paper›PMID 40021917›Full record

ArticleScientific reports2025

Integrating social data and engineering solutions for developing resilient water infrastructure against coastal climate change.

Y Sangsefidi, A Rios, K Bagheri, M Welsh Carroll, Hassan Davani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Y SangsefidiDepartment of Civil, Construction, and Environmental Engineering, San Diego State University (SDSU), San Diego, CA, USA.
A RiosSchool of Public Affairs, San Diego State University (SDSU), San Diego, CA, USA.
K BagheriDepartment of Civil, Construction, and Environmental Engineering, San Diego State University (SDSU), San Diego, CA, USA.
M Welsh CarrollSchool of Public Affairs, San Diego State University (SDSU), San Diego, CA, USA.
Hassan DavaniDepartment of Civil, Construction, and Environmental Engineering, San Diego State University (SDSU), San Diego, CA, USA. hdavani@sdsu.edu.

Funding

National Science Foundation 2113984National Science Foundation 2113987National Science Foundation 2239602
6 · The paper itself

Abstract

This study combines responses from a social survey with compound flood modeling in a marginalized coastal community to assess implementation of green infrastructure, such as rain barrels and rain gardens, in a city scale. This research focuses on the City of Imperial Beach, CA, which is an underserved coastal community located near the border with Mexico. A principal objective of the present research was analyzing social survey responses and the public's perceptions to estimate the extent to which decentralized water infrastructure might be accepted by and feasible for the target underserved coastal community. The feasibility of the proposed solution is strengthened through a collaboration with the City of Imperial Beach, which has led to the results of this study being presented in various public sources and forums. The social survey revealed that more than 4/5 of respondents are interested in receiving a rain barrel for free, and the needed financial incentives for rain barrel and rain garden installation can be the whole cost of the practice. Results of the social survey provide promising prospects for the community's adoption of decentralized water infrastructure, but public awareness and engagement still need to be improved through appropriate outreach activities, particularly in areas at risk of future flooding and sewer overflows. The effectiveness of our proposed solution is assessed through hydrologic-hydraulic model outputs, deploying a fine resolution 2-dimensional overland flow model, present that for a stormdrain system with typical defects (e.g. 0.25% porosity), working under current sea levels (i.e., sea level rise = 0 m), and a typical storm (e.g., 1-year rainfall), the flood volume may decrease 56-99% after implementing a rain barrel system and adding a rain garden system.

Identifiers

PMID40021917
PMCPMC11871364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.