Evidence map›Paper›PMID 38443699›Full record

ArticleScientific reports2024

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine.

Mohammad Kazemi Garajeh, Fatemeh Haji, Mahsa Tohidfar, Amin Sadeqi, Reyhaneh Ahmadi, Narges Kariminejad

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Predicting the distribution ofFrontiers in plant science · 2026
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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

6 authors.

Mohammad Kazemi GarajehDepartment of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, 00185, Rome, Italy. kazemi20.0432@gmail.com.
Fatemeh HajiDepartment of Earth Sciences, Remote Sensing and GIS, Shahid Beheshti University, Tehran, Iran.
Mahsa TohidfarDepartment of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Amin SadeqiDepartment of Geography and Geology, University of Turku, 20014, Turku, Finland.
Reyhaneh AhmadiDepartment of Regional and City Planning, Christopher C. Gibbs College of Architecture, University of Oklahoma, Norman, USA.
Narges KariminejadDepartment of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a data-driven approach employed by utilizing the product called JRC-Global surface water mapping layers V1.4 on the Google Earth Engine (GEE) to map and monitor the effects of climate change on surface water resources. Key climatic variables affecting water bodies, including air temperature (AT), actual evapotranspiration (ETa), and total precipitation, were analyzed from 2000 to 2021 using the temperature-vegetation index (TVX) and Moderate Resolution Imaging Spectroradiometer (MODIS) products. The findings demonstrate a clear association between global warming and the shrinking of surface water resources in the LUB. According to the results, an increase in AT corresponded to a decrease in water surface area, highlighting the significant influence of AT and ETa on controlling the water surface in the LUB (partial rho of - 0.65 and - 0.68, respectively). Conversely, no significant relationship was found with precipitation and water surface area (partial rho of + 0.25). Notably, the results of the study indicate that over the past four decades, approximately 40% of the water bodies in the LUB remained permanent. This suggests a loss of around 30% of the permanent water resources, which have transitioned into seasonal water bodies, accounting for nearly 13% of the total. This research provides a comprehensive framework for monitoring surface water resource variations and assessing the impact of climate change on water resources. It aids in the development of sustainable water management strategies and plans, supporting the preservation and effective use of water resources.

Indexed as

Climate changeGoogle Earth EngineRemote sensingTime series analysisWater resources

Identifiers

PMID38443699
PMCPMC10915166

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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.