Evidence map›Paper›PMID 41582244›Full record

ArticleScientific reports2026

Groundwater potential zones demarcation in the hard rock province of South India: insights from remote sensing, GIS and AHP techniques.

K Pragadeeshwaran, B Gurugnanam, M Bagyaraj, S Bairavi, D Karunanidhi, Berihu Abadi Berhe

Abstract read
PubMed Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

K PragadeeshwaranCentre for Applied Geology, The Gandhigram Rural Institute (Deemed to Be University), Gandhigram, Dindigul, Tamil Nadu, 624302, India.
B GurugnanamCentre for Applied Geology, The Gandhigram Rural Institute (Deemed to Be University), Gandhigram, Dindigul, Tamil Nadu, 624302, India. gurugis4u@gmail.com.ORCID http://orcid.org/0000-0002-8775-7123
M BagyarajCentre for Applied Geology, The Gandhigram Rural Institute (Deemed to Be University), Gandhigram, Dindigul, Tamil Nadu, 624302, India.
S BairaviCentre for Applied Geology, The Gandhigram Rural Institute (Deemed to Be University), Gandhigram, Dindigul, Tamil Nadu, 624302, India.
D KarunanidhiDepartment of Civil Engineering, School of Engineering, Mohan Babu University, Tirupati, Andhra Pradesh, 517102, India.
Berihu Abadi BerheSchool of Earth Sciences, College of Natural and Computational Sciences, Mekelle University, P.O. Box 231, Mekelle, Ethiopia. berihu.abadi@mu.edu.et.ORCID http://orcid.org/0000-0001-5841-9689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research aims to assess the groundwater potential zones (GWPZs) in the Chinnalapatti firka hard rock region to aid in sustainable groundwater management. The GWPZs were determined with the aid of Analytic Hierarchy Process (AHP) along with remote sensing (RS) and geographical information system (GIS) technologies. These Remote sensing and GIS greatly enhance groundwater potential mapping and assessment, as well as monitoring and conservation efforts. To evaluate groundwater potential (GWP) in the area of interest, remote sensing (RS) and conventional data sources were used to construct eight thematic maps. These maps included lineament density, drainage density, rainfall, geomorphology, geology, land use/land cover, soil and slope. Using AHP, each thematic layer, along with its subclasses, was assigned weights based on their influence on groundwater occurrence. Following this, the GWPZ map of Chinnalapatti firka was prepared by integrating the thematic layers with weighted overlay analysis in ArcGIS 10.7. The resulting map classified the study area into five groundwater potential groups: very good (19.97%), good (31.78%), moderate (30.61%), poor (17.63%), and very poor (0.01%). Utilizing the ArcSDM tool within ArcGIS software, the receiver operating characteristic (ROC) curve analysis showed that the area under the curve AUC = 0.80, which means that the GWPZ has good model performance. Planning and implementing artificial groundwater recharge projects, especially in semi-arid and hard rock terrains, is greatly aided by the spatial database created in this study. To improve groundwater sustainability, appropriate locations for recharge activities must be found. These results provide important information for sustainable groundwater management and long-term planning of water resources in the Chinnalapatti Firka region.

Indexed as

Analytic hierarchy processArea under the curve (AUC)GISGroundwater potentialHard rock areaReceiver operating characteristic (ROC)

Identifiers

PMID41582244

What OpenQuestion holds

Textmetadata
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.