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

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 5, 2024

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

Language: Английский

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Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Language: Английский

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From Meteorological to Hydrological Drought: A Focus on the Characterization of Hydrological Drought with Prediction Uncertainty

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

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Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Language: Английский

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Groundwater-surface water interaction in a river-wetland-aquifer regional system using a coupled simulation-based approach

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133006 - 133006

Published: March 1, 2025

Language: Английский

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Extreme climate events under global warming in Iran

Hydrological Sciences Journal, Journal Year: 2024, Volume and Issue: 69(3), P. 337 - 364

Published: Feb. 12, 2024

Extreme climate events and precipitation depths are assessed for Iran with minimal uncertainties, considering three sources of uncertainty: general circulation models (GCMs), future scenarios, downscaling method. The frequency, duration, severity, intensity extreme events, along 2- to 50-year return periods, evaluated the baseline period (1980–2014) Shared Socioeconomic Pathways (SSPs): SSP1-1.9, SSP2- 4.5, SSP5-8.5 (2021–2080). Daily temperature data from multi-model ensemble Coupled Model Inter-comparison Project phase 6 statistically downscaled 51 stations across Iran. increase under whereas anomaly depends on location SSP2-4.5 SSP5-8.5. southern coastal southeastern regions (remaining stations) will experience more-frequent shorter (less-frequent longer) events. GCM method main uncertainty in projected precipitation, while scenario significantly contributes temperature.

Language: Английский

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The socioeconomic impact of severe droughts on agricultural lands over different provinces of Iran

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 289, P. 108550 - 108550

Published: Oct. 15, 2023

The lack of rainfall is the primary cause drought, reduced crop harvest (CH), and socioeconomic drought. Agriculture source income for most Iranians, drought can harm people's lives irreparably. This study examines changes in CHs prices (CPs) across provinces Iran during severe all time its impact on producers (farmers), consumers, public prosperity using Surplus Economic Method (SEM). Our focused crops that have a big Iranian life, such as wheat, barley, potato, onion, tomato, lentils, chickpeas, alfalfa. results indicated Iran's hydrological occurred from 2000 to 2002. rainfed farms experienced pronounced terms CH, while financial damages were highest irrigated areas. Among investigated, wheat has greatest reduction 80%. Moreover, grains price change (40% increase) Wheat underwent steepest CH reduction. Legumes rise. During had lower yields, causing losses but some still made profit. affected northwest west farmers adversely, southern central gained through increased product prices. Drought adverse effects examined it. corresponds barley western regions Zagros Mountains. diversity northwestern these important areas farming supply Iran. Agricultural droughts affect people lead demonstrated are chiefly caused by shortage winter spring rains. Identifying factors showed depth snow winter. Additionally, data analysis revealed combined effect precipitation with coverage (61%). make policies based region climate, marketing plans droughts, solutions address harmful

Language: Английский

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Projected irrigation demand for large-scale rice granary under future climate scenarios based on CMIP6 multi-GCM ensemble: a case study of Kerian Irrigation Scheme, Malaysia

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(4), P. 3259 - 3279

Published: Jan. 3, 2024

Language: Английский

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Projecting drought trends and hot spots across Iran

Natural Hazards, Journal Year: 2024, Volume and Issue: 120(11), P. 9489 - 9502

Published: April 4, 2024

Language: Английский

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Evaluating climate change impacts on snow cover and karst spring discharge in a data-scarce region: a case study of Iran

Acta Geophysica, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Abstract The incremental impacts of climate change on elements within the water cycle are a growing concern. Intricate karst aquifers have received limited attention concerning change, especially those with sparse data. Additionally, snow cover has been overlooked in simulating spring discharge rates. This study aims to assess effects data-scarce anticline, specifically Khorramabad, Iran, focusing temperature, precipitation, cover, and Kio flows. Utilizing two shared socioeconomic pathways (SSPs), namely SSP2-4.5 SSP5-8.5, extracted from CMIP6 dataset for base period (1991–2018) future periods (2021–2040 2041–2060), research employs Landsat data artificial neural networks (ANNs) computation, respectively. ANNs trained using training verification 1991–2010 2011–2018, Results indicate projected increases between + 1.21 °C under SSP245) 2.93 (2041–2060 SSP585), 2.91 mm/month SSP585) 4.86 SSP585). ANN models satisfactorily simulate predicting decrease − 4 km 2 /month 11.4 Spring discharges anticipated increase 28.5 l/s 57 12.1 36.1 SSP245), without as an input, These findings emphasize importance considering these changes sustainability groundwater future.

Language: Английский

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