Evidence map›Paper›PMID 41413416›Full record

ArticleScientific reports2025

Hydrogeological deciphering of the poorly gauged karstic Mount Hermon Aquifer.

Elad Ben-Zur, Haim Gvirtzman, Gideon Gal, Yaron Be'eri-Shlevin

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

4 authors.

Elad Ben-ZurInstitute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel. elad.benzur@mail.huji.ac.il.
Haim GvirtzmanInstitute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Gideon GalIsrael Oceanographic and Limnological Research, Kinneret Limnological Institute, Migdal, Israel.
Yaron Be'eri-ShlevinIsrael Oceanographic and Limnological Research, Kinneret Limnological Institute, Migdal, Israel.

Funding

Ministry of Innovation, Science and Technology #4755
6 · The paper itself

Abstract

Poorly gauged basins characterize most of the world's aquifers and pose considerable challenges to hydrologists globally. A lack of data on water-table elevation, spring discharge and meteorological data limit our ability to assess and study historical, current, and possible future groundwater flows and spring discharges. These limitations, and others, severely hinder our ability to better understand and sustainably manage water resources, especially under a changing climate. We use the trans-boundary Hermon Jurassic Aquifer (HJA), which supplies substantial amounts of groundwater to Syria, Lebanon and Israel, as a case study to showcase an approach to address such challenges. To overcome the large data gap, we constructed a conceptual hydrogeological framework of the HJA along with numerical modeling, using only limited spring discharge data. Our groundwater flow and solute transport modeling reproduce with notable accuracy the transient hydrographs of the main springs over several decades and the main spatial sulphate composition distribution. Furthermore, our models define recharge areas and storage volumes for each spring, delineate groundwater flow-paths, constrain the spatial and temporal HJA dynamics, and explain the cause for varying spring chemistry. We, thus, show the potential of this non-conventional approach to study poorly gauged aquifers worldwide, especially karstic and phreatic regions, and how significant hydrological insights can be revealed, overcoming lacking hydrological information.

Identifiers

PMID41413416
PMCPMC12881412

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.