Evidence map›Paper›PMID 26903209›Full record

ArticleEnvironmental monitoring and assessment2016

Massive land system changes impact water quality of the Jhelum River in Kashmir Himalaya.

Mohmmad Irshad Rather, Irfan Rashid, Nuzhat Shahi, Khalid Omar Murtaza, Khalida Hassan, Abdul Rehman Yousuf, Shakil Ahmad Romshoo, Irfan Yousuf Shah

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Article in Environmental monitoring and assessment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

5 citing papers in PubMed, 89 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Mohmmad Irshad RatherDepartment of Environmental Sciences, University of Kashmir, Srinagar, India.
Irfan RashidDepartment of Earth Sciences, University of Kashmir, Srinagar, India. irfangis@gmail.com.ORCID http://orcid.org/0000-0002-5214-1919
Nuzhat ShahiCenter of Research for Development, University of Kashmir, Srinagar, India.
Khalid Omar MurtazaDepartment of Earth Sciences, University of Kashmir, Srinagar, India.
Khalida HassanCenter of Research for Development, University of Kashmir, Srinagar, India.
Abdul Rehman YousufExpert Member, National Green Tribunal, Government of India, New Delhi, India.
Shakil Ahmad RomshooDepartment of Earth Sciences, University of Kashmir, Srinagar, India.
Irfan Yousuf ShahDepartment of Environmental Sciences, University of Kashmir, Srinagar, India.
University of Kashmir · INGovernment of India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pristine aquatic ecosystems in the Himalayas are facing an ever increasing threat from various anthropogenic pressures which necessitate better understanding of the spatial and temporal variability of pollutants, their sources, and possible remedies. This study demonstrates the multi-disciplinary approach utilizing the multivariate statistical techniques, data from remote sensing, lab, and field-based observations for assessing the impact of massive land system changes on water quality of the river Jhelum. Land system changes over a period of 38 years have been quantified using multi-spectral satellite data to delineate the extent of different anthropogenically driven land use types that are the main non-point sources of pollution. Fifteen water quality parameters, at 12 sampling sites distributed uniformly along the length of the Jhelum, have been assessed to identify the possible sources of pollution. Our analysis indicated that 18% of the forested area has degraded into sparse forest or scrublands from 1972 to 2010, and the areas under croplands have decreased by 24% as people shifted from irrigation-intensive agriculture to orchard farming while as settlements showed a 397% increase during the observation period. One-way ANOVA revealed that all the water quality parameters had significant spatio-temporal differences (p < 0.01). Cluster analysis (CA) helped us to classify all the sampling sites into three groups. Factor analysis revealed that 91.84% of the total variance was mainly explained by five factors. Drastic changes in water quality of the Jhelum since the past three decades are manifested by increases in nitrate-nitrogen, TDS, and electric conductivity. The especially high levels of nitrogen (858 ± 405 μgL(-1)) and phosphorus (273 ± 18 μgL(-1)) in the Jhelum could be attributed to the reckless application of fertilizers, pesticides, and unplanned urbanization in the area.

Indexed as

Environmental MonitoringAgricultureCluster AnalysisEcosystemFactor Analysis, StatisticalFertilizersNitrogenPhosphorusRiversUrbanizationWater PollutionWater QualityFertilizersNitrogenPhosphorusHimalayaJhelum RiverLand system changesSpatio-temporal variationsWater quality monitoring

Identifiers

PMID26903209
OpenAlexW2274420308

What OpenQuestion holds

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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.