Projected Climate Change Impacts on the Number of Dry and Very Heavy Precipitation Days by Century’s End: A Case Study of Iran’s Metropolises

Author:

Afsari Rasoul1,Nazari-Sharabian Mohammad2ORCID,Hosseini Ali3ORCID,Karakouzian Moses4ORCID

Affiliation:

1. Department of Passive Defense (Urban Planning of Passive Defense), Supreme National Defense University, Tehran 1698613411, Iran

2. Department of Mathematics, Engineering and Computer Science, West Virginia State University, Institute, WV 25112, USA

3. Department of Human Geography and Planning, University of Tehran, Tehran 1417853933, Iran

4. Department of Civil and Environmental Engineering and Construction, University of Nevada Las Vegas, Las Vegas, NV 89154, USA

Abstract

This study explores the impacts of climate change on the number of dry days and very heavy precipitation days within Iran’s metropolises. Focusing on Tehran, Mashhad, Isfahan, Karaj, Shiraz, and Tabriz, the research utilizes the sixth phase of the Coupled Model Intercomparison Project (CMIP6) Global Circulation Models (GCMs) to predict future precipitation conditions under various Shared Socioeconomic Pathways (SSPs) from 2025 to 2100. The study aims to provide a comprehensive understanding of how climate change will affect precipitation patterns in these major cities. Findings indicate that the SSP126 scenario typically results in the highest number of dry days, suggesting that under lower emission scenarios, precipitation events will become less frequent but more intense. Conversely, SSP585 generally leads to the lowest number of dry days. Higher emission scenarios (SSP370, SSP585) consistently show an increase in the number of very heavy precipitation days across all cities, indicating a trend towards more extreme weather events as emissions rise. These insights are crucial for urban planners, policymakers, and stakeholders in developing effective adaptation and mitigation strategies to address anticipated climatic changes.

Publisher

MDPI AG

Reference72 articles.

1. Chen, W.Y., Suzuki, T., and Lackner, M. (2015). Statistics in Climate Variability, Dry Spells, and Implications for Local Livelihoods in Semiarid Regions of Tanzania: The Way Forward. Handbook of Climate Change Mitigation and Adaptation, Springer.

2. Polade, S.D., Pierce, D.W., Cayan, D.R., Gershunov, A., and Dettinger, M.D. (2014). The key role of dry days in changing regional climate and precipitation regimes. Sci. Rep., 4.

3. Fekete, A., and Sandholz, S. (2021). Here Comes the Flood, but Not Failure? Lessons to Learn after the Heavy Rain and Pluvial Floods in Germany 2021. Water, 13.

4. Identifying the spatial and temporal distribution characteristics of precipitation in Iran;Asadi;Arab. J. Geosci.,2016

5. Challenges of Water Resource Management in Iran;Fani;Am. J. Environ. Eng.,2016

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