Evidence map›Paper›PMID 42321266›Full record

ArticleScientific reports2026

Compound hydrogeomorphic cascades and rapid upstream to downstream hazard coupling in the Eastern Himalaya.

Kuldeep Dutta, Rupankar Rajkhowa, Mari Riba, Laxmi Linggi, Tana Tage

Abstract read
PubMed Full text at PMC 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. 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.

Kuldeep DuttaCentre for Earth Sciences and Himalayan Studies (An Autonomous Organization under the, Department of Science and Technology), Government of Arunachal Pradesh, Itanagar, 791111, Arunachal Pradesh, India. kuldeepdutta1994@gmail.com.ORCID http://orcid.org/0000-0002-4783-6089
Rupankar RajkhowaCentre for Earth Sciences and Himalayan Studies (An Autonomous Organization under the, Department of Science and Technology), Government of Arunachal Pradesh, Itanagar, 791111, Arunachal Pradesh, India.
Mari RibaCentre for Earth Sciences and Himalayan Studies (An Autonomous Organization under the, Department of Science and Technology), Government of Arunachal Pradesh, Itanagar, 791111, Arunachal Pradesh, India.
Laxmi LinggiCentre for Earth Sciences and Himalayan Studies (An Autonomous Organization under the, Department of Science and Technology), Government of Arunachal Pradesh, Itanagar, 791111, Arunachal Pradesh, India.
Tana TageCentre for Earth Sciences and Himalayan Studies (An Autonomous Organization under the, Department of Science and Technology), Government of Arunachal Pradesh, Itanagar, 791111, Arunachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996-2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km

Indexed as

Cascading hazardsEastern HimalayaExtreme rainfallFloodplain processesLandslides and debris flowsRainfall scaling

Identifiers

PMID42321266
PMCPMC13554280

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.