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Ditemukan 5 dari pencarian Anda melalui kata kunci: subject="Climate change"
cover
The Investigation of Trends and Wet and Dry Rainfall Cycles in North Africa (…
Komentar Bagikan
Zeineddine NouaceurOvidiu MurarescuGeorge Muratoreanu

IPCC climate forecast models, applicable to the Maghreb countries (Morocco, Algeria, and Tunisia), predict a decrease in atmospheric precipitation, greater variability, and an increase in aridity. In recent years, the entire region has been experiencing unprecedented climate upheavals. Climatic droughts have become increasingly severe and recurrent (drastically reducing water stocks). We are al…

Edisi
Vol.15, Issue 3, March 2025
ISBN/ISSN
2076-3263
Deskripsi Fisik
22 hlml PDF, 2.204 KB
Judul Seri
Geosciences
No. Panggil
550
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
High-Resolution Coastal Vulnerability Assessment for the Istrian Peninsula: D…
Komentar Bagikan
Zaviša ŠimacNina LončarSanja Faivre

Increasing risks from sea-level rise and other climate impacts call for a focus on physical coastal attributes, emphasising the need for region-specific tools to address the vulnerability of different coastlines. This paper presents the development of a Physical Coastal Vulnerability Index (PCVI) for climate change impacts like sea-level rise, erosion, and storm surges, which is applied to the …

Edisi
Vol.15, Issue 3, March 2025
ISBN/ISSN
2076-3263
Deskripsi Fisik
22 hlm PDF, 9,027 KB
Judul Seri
Geosciences
No. Panggil
550
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Revolutionizing the future of hydrological science: Impact of machine learnin…
Komentar Bagikan
Rajib MaityAman SrivastavaSubharthi SarkarMohd Imran Khan

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing hydrology, driving significant advancements in water resource management, modeling, and prediction. This review synthesizes cutting-edge developments, methodologies, and applications of AI-ML-DL across key hydrological processes. By critically evaluating these techniques against traditional models, w…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
16 hlm PDF, 2.174 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Monitoring and mapping of snow cover variability using topographically derive…
Komentar Bagikan
Vishakha SoodSartajvir SinghAjay Kumar TaloorShivendu PrasharRavneet Kaur

The Himalayas is an essential component of the cryosphere due to the large extent of snow or ice cover. The mapping and monitoring of snow cover variability over the Himalayas is the focus of many scientific studies due to the major source of water for Asian countries and equally important for climate change studies. This study describes the analysis of snow cover variability over North Indian …

Edisi
Vol.8, December 2020
ISBN/ISSN
2590-1974
Deskripsi Fisik
9 hlm PDF, 3.213 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Great SCO2T! Rapid tool for carbon sequestration science, engineering, and ec…
Komentar Bagikan
Richard S. MiddletonBailian ChenDylan R. HarpRyan M. KammerJonathan D. Ogland-HandJeffrey M. BielickiAndres F. ClarensRobert P. CurrierKevin M. EllettBrendan A. HooverDane N. McFarlaneRajesh J. PawarPhilip H. StaufferHari S. ViswanathanSean P. Yaw

CO2 capture and storage (CCS) technology is likely to be widely deployed in the coming decades in response to major climate and economics drivers: CCS is part of every clean energy pathway that limits global warming to 2 ​°C or less and receives significant CO2 tax credits in the United States. These drivers are likely to stimulate the capture, transport, and storage of hundreds of millions …

Edisi
Vol.7, September 2020
ISBN/ISSN
2590-1974
Deskripsi Fisik
11 hlm PDF, 3.757 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
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