Evidence map›Paper›PMID 34792670›Full record

ArticleEnvironmental monitoring and assessment2021

Effects of land use and climate change on water scarcity in rivers of the Western Ghats of India.

T M Sharannya, K Venkatesh, Amogh Mudbhatkal, M Dineshkumar, Amai Mahesha

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Article in Environmental monitoring and assessment, 2021. 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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0citing papers in PubMed
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1 · What the graph read from it

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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.

T M SharannyaDepartment of Water Resources & Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, 575 025, India. sharannyatm@gmail.com.ORCID http://orcid.org/0000-0001-7300-2830
K VenkateshDepartment of Environment and Sustainability, University of South Dakota, Vermillion, South Dakota, 57069, USA.ORCID http://orcid.org/0000-0002-2110-5560
Amogh MudbhatkalSchool of Geography and Lincoln Centre for Water and Planetary Health, University of Lincoln, Brayford Pool, Lincoln, Lincolnshire, LN6 7TS, UK.ORCID http://orcid.org/0000-0002-2207-3513
M DineshkumarDepartment of Water Resources & Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, 575 025, India.ORCID http://orcid.org/0000-0003-3344-0195
Amai MaheshaDepartment of Water Resources & Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangaluru, 575 025, India.ORCID http://orcid.org/0000-0002-5903-7276

Funding

Ministry of Jal Shakti, Government of India Grant No. 28/8/2016-R&D/308-336 dtd. February 9, 2018
6 · The paper itself

Abstract

This paper assesses the long-term combined effects of land use (LU) and climate change on river hydrology and water scarcity of two rivers of the Western Ghats of India. The historical LU changes were studied for four decades (1988-2016) using the maximum likelihood algorithm and the long-term LU (2016-2075) was estimated using the Dyna-CLUE prediction model. Five General Circulation Models (GCMs) were utilized to assess the effects of climate change (CC) and the Soil and Water Assessment Tool (SWAT) model was used for hydrological modeling of the two river catchments. To characterize granular effects of LU and CC on regional hydrology, a scenario approach was adopted and three scenarios depicting near-future (2006-2040), mid-future (2041-2070), and far-future (2071-2100) based on climate were established. The present rate of LU change indicated a reduction in forest cover by 20% and an increase in urbanized areas by 9.5% between 1988 and 2016. It was estimated that forest cover in the catchments may be expected to halve compared to the present-day LU (55% in 2016 to 23% in 2075), along with large-scale conversion to agricultural lands (13.5% in 2016 to 49.5% in 2075). As a result of changes to LU and forecasted climate, it was found that rivers in the Western Ghats of India might face scarcity of fresh water in the next two decades until the year 2040. However, because of large-scale LU conversion toward the year 2050, streamflow in rivers might increase as high as 70.94% at certain times of the year. Although an increase in streamflow is perceived favorable, the streamflow changes during summer and winter may be expected to affect the cropping calendar and crop yield. The changes to streamflow were also linked to a 4.2% increase in ecologically sensitive wetlands of the Aghanashini river catchment.

Indexed as

Climate ChangeRiversEnvironmental MonitoringHydrologyIndiaWater InsecurityClimate changeDyna CLUELand useSWATWater scarcityWestern Ghats of India

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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.