Spatial modeling the climate change risk of river basins via climate classification: a scenario-based prediction approach for Türkiye
Yazarlar (4)
Doç. Dr. Öznur IŞINKARALAR Kastamonu Üniversitesi, Türkiye
Doç. Dr. Kaan IŞINKARALAR Kastamonu Üniversitesi, Türkiye
Prof. Dr. Hakan ŞEVİK Kastamonu Üniversitesi, Türkiye
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Natural Hazards (Q1) | ||
| Dergi ISSN | 0921-030X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2024 |
| Kabul Tarihi | 14-09-2023 | Yayınlanma Tarihi | 02-10-2023 |
| Cilt / Sayı / Sayfa | 120 / 1 / 511–528 | DOI | 10.1007/s11069-023-06220-6 |
| Makale Linki | https://link.springer.com/article/10.1007/s11069-023-06220-6 | ||
| Özet |
| Climate change, triggered by the direct and indirect effects of urbanization, seriously threatens the ecosystem, earth cycles, and vitality. It is quite complex to investigate the reasons for the devastating effect of extreme events that occur with the impact of climate change. However, future projections based on probabilities are needed for governments and urban planning to develop strategies and manage the crisis on a global scale. This research aims to simulate the effects of climate change on temperature, precipitation, and climate classes, which are the basic parameters in spatio-temporal conditions. In this context, within the framework of SSPs 245 and SSPs 585 scenarios defined by The Intergovernmental Panel on Climate Change (IPCC) reports, forecast maps were produced by using De Martonne (IDM), Emberger (IE), and Lang (IL) indexes in twenty-year periods until 2100. IDM reveals that arid areas not … |
| Anahtar Kelimeler |
| Basin management | Climate change | Climate hazards | Precautions | Vulnerability |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 22 |
| Scopus | 19 |
| Google Scholar | 45 |