Harnessing the energy transition from total dependence on fossil to renewable energy in the Arabian Gulf region, considering population, climate change impacts, ecological and carbon footprints, and United Nations’ Sustainable Development Goals

Sustainable Earth Reviews, Journal Year: 2023, Volume and Issue: 6(1)

Published: Sept. 13, 2023

Abstract The aim of this research is to investigate various issues related oil consumption and environmental impacts in the Gulf Cooperation Council (GCC) countries, relation population, climate change impacts, United Nations Sustainable Development Goals (UN’s SDGs), ecological carbon footprints. GCC countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, Arab Emirates) are almost entirely dependent on fossil energy sources (oil natural gas) domestically, industrially, commercially, economically, transportation-wise. Although total population around 60 million, making up only 0.76% world’s (8 billion), they do consume 5.15 million barrels per day (bbl/d) oil, forming nearly 5.8% daily consumption, which 88.4 bbl/d as 2021. Moreover, capita about 0.09 barrels, while it 0.06 USA. These figures indicate that GCC’s combined capita, although not industrialized small large quantities compared other world and/or densely populated, such USA, India, Japan, Russia, Germany. high rates associated with highest footprints worldwide, have led negative environment, climate, public health. results work show some Thus, should effectively reduce their dependence gradually replace them renewable sources, especially photovoltaic (PV) solar energy. Furthermore, statistics presented article outcomes reached uncover lag behind regard indicators UN’s SDGs. This implies taking adequate actions encounter problems, order fulfill SDGs by 2030.

Language: Английский

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The impact of climate change on wheat in Turkey

Regional Environmental Change, Journal Year: 2024, Volume and Issue: 24(1)

Published: Jan. 24, 2024

Language: Английский

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Carbon dioxide sink in the Arctic Ocean from cross-shelf transport of dense Barents Sea water

Nature Geoscience, Journal Year: 2022, Volume and Issue: 16(1), P. 82 - 88

Published: Nov. 21, 2022

Abstract Large amounts of atmospheric carbon can be exported and retained in the deep sea on millennial time scales, buffering global warming. However, while Barents Sea is one most biologically productive areas Arctic Ocean, retention times were thought to short. Here we present observations, complemented by numerical model simulations, that revealed a widespread lateral injection approximately 2.33 kt C d −1 from shelf some 1,200 m Nansen Basin, driven Bottom Water transport. With increasing distance outflow region, plume expanded penetrated into even deeper waters sediment. The seasonally fluctuating but continuous increases sequestration 1/3 feeds community Basin. Our findings combined with those other regions carbon-rich polar dense highlight importance as sink. Resolving uncertainties around negative feedbacks warming due ice decline will necessitate observation changes bottom water formation biological productivity at resolution high enough quantify future injection.

Language: Английский

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Experimental study on the impact of asymmetric heavy rainfall on the smoke spread and stratification dynamics in tunnel fires

Tunnelling and Underground Space Technology, Journal Year: 2023, Volume and Issue: 134, P. 104992 - 104992

Published: Jan. 23, 2023

Language: Английский

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Performance analysis of a solar-assisted ground source heat pump with a single vertical U-tube ground heat exchanger

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 124452 - 124452

Published: Sept. 1, 2024

Language: Английский

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Enhancing generalizability of data-driven urban flood models by incorporating contextual information

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(24), P. 5443 - 5458

Published: Dec. 18, 2024

Abstract. Fast urban pluvial flood models are necessary for a range of applications, such as near real-time nowcasting or processing large rainfall ensembles uncertainty analysis. Data-driven can help overcome the long computational time traditional simulation models, and state-of-the-art have shown promising accuracy. Yet lack generalizability data-driven to both unseen distinctively different terrain, at fine resolution required mapping, still limits their application. These usually adopt patch-based framework multiple bottlenecks, data availability memory constraints. However, this approach does not incorporate contextual information terrain surrounding small image patch (typically 256 m×256 m). We propose new deep-learning model that maintains high-resolution local incorporates larger area increase visual field with aim enhancing models. trained tested in city Zurich (Switzerland), spatial 1 m, h events 5 min temporal resolution. demonstrate our faithfully represent depths wide events, peak intensities ranging from 42.5 161.4 mm h−1. Then, we assessed model's distinct settings, namely, Lucerne (Switzerland) Singapore. The accurately identifies locations water accumulation, which constitutes an improvement compared other Using transfer learning, was successfully retrained cities, requiring only single event adapt terrains while preserving adaptability across diverse conditions. Our results indicate by incorporating into patches, proposed effectively simulates maps, demonstrating applicability varied events.

Language: Английский

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Risks associated with global warming of 1.5 to 4 °C above pre-industrial levels in human and natural systems in six countries

Climatic Change, Journal Year: 2024, Volume and Issue: 177(3)

Published: Feb. 29, 2024

Abstract The Topical Collection “Accrual of Climate Change Risk in Six Vulnerable Countries” provides a harmonised assessment risks to human and natural systems due global warming 1.5–4 °C six countries (China, Brazil, Egypt, Ethiopia, Ghana, India) using consistent set climate change socioeconomic scenarios. It compares 2100 if has reached 3 °C, broadly corresponding current greenhouse gas emission reduction policies, including countries’ National Determined Contributions, rather than the Paris Agreement goal limiting ‘well below’ 2 ‘pursuing efforts’ limit 1.5 °C. Global population is assumed either constant at year 2000 levels or increase 9.2 billion by 2100. In case, greater projected lead, all countries, exposure land people drought fluvial flood hazard, declines biodiversity, reductions yield maize wheat. Limiting compared with ~ deliver large benefits for reduced economic damages flooding. greatest are avoidance agricultural severe drought, which 61%, 43%, 18%, 21% lower China, India whilst avoided increases 20–80% across countries. refugia plants largely preserved but shrink areal extent factor 2, 3, 4, 10 India, respectively, reaches Economic associated sea-level rise coastal nations, more slowly were limited Actual on ground will also depend national local contexts future investment adaptation.

Language: Английский

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Status, challenges and pathways to the sustainable use of wild species

Global Environmental Change, Journal Year: 2023, Volume and Issue: 81, P. 102692 - 102692

Published: May 29, 2023

Language: Английский

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The representation of temperature over Northeast India: assessing the performance of CORDEX‑CORE model experiments

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(2)

Published: Jan. 10, 2025

Language: Английский

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Climate Change and Public Health

Earth and environmental sciences library, Journal Year: 2025, Volume and Issue: unknown, P. 21 - 61

Published: Jan. 1, 2025

Language: Английский

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