Evidence map›Paper›PMID 42115633›Full record

ArticleScientific reports2026

Hydrometric assessment of Himalayan springs using classical hydrological methods for springshed management.

Bhargabnanda Dass, Soban Singh Rawat, Santosh Murlidhar Pingale, Su Su Chit, Surendra Kumar Mishra

Abstract read
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.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bhargabnanda DassCell for Spring Studies (CeSS), Centre for Cryosphere and Climate Change Studies, National Institute of Hydrology, Roorkee, 247667, India.
Soban Singh RawatCell for Spring Studies (CeSS), Centre for Cryosphere and Climate Change Studies, National Institute of Hydrology, Roorkee, 247667, India. ssrawat.nihr@gov.in.
Santosh Murlidhar PingaleCell for Spring Studies (CeSS), Centre for Cryosphere and Climate Change Studies, National Institute of Hydrology, Roorkee, 247667, India.
Su Su ChitDepartment of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Surendra Kumar MishraDepartment of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, 247667, India.

Funding

the National Mission on Himalayan Studies (NMHS), Ministry of Environment, Forest and Climate Change (MoEF&CC), Government of India GBPNI/NMHS-2018-19/SG
6 · The paper itself

Abstract

Springs represent critical lifelines for mountain water security; however, discharge reductions and seasonal drying increasingly threaten 1.3 billion people dependent on Himalayan water systems amid accelerating climate change. This study presents a systematic application of classical hydrological methods across eight representative springs in the Tawi catchment, J&K UT, India, providing a comprehensive and unprecedented hydrometric assessment framework for data-scarce regions of Indian Himalayas. Three complimentary hydrological approaches were adopted: (1) flow regime analysis using hydrograph assessment and base flow separation, (2) statistical assessment using correlation and persistence functions, and (3) flow reliability evaluation using duration curves and variability indices. Results revealed distinct hydrological signatures: three springs exhibited perennial behavior with high base flow indices (0.67-0.88), strong groundwater contribution (> 800,000 L total volume), and low variability (CV < 0.3), while five springs demonstrated seasonal-flashy responses with discharge variability ratios exceeding 2.5. Cross-correlation analysis identified response lag times ranging from immediate (1 day) for shallow systems to 49 days for deeper groundwater-fed springs. Auto-correlation functions revealed memory of 14-49 days, indicating varying aquifer storage capacities. The evidence-based classification supports development of targeted community interventions: stable springs require recharge zone protection and forest conservation, whereas vulnerable springs necessitate artificial recharge structures, check dams, and community-based storage systems. This framework directly supports UN Sustainable Development Goal 6 (Clean Water and Sanitation) and Goal 13 (Climate Action), demonstrating that systematic, scientifically robust classical methods offer cost-effective alternatives for springshed management, thereby supporting mountain water security globally.

Indexed as

Base flow indexClimate adaptationCommunity interventionsHimalayan springsMountain water securitySpringshed management

Identifiers

PMID42115633
PMCPMC13350980

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LicenceCC BY-NC-ND
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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.