Document Type : Research Article
Authors
1
Assistant Pro. RIMAS-CRI
2
Assistant Professor, Climatological Research Institute, ASMERC, Mashhad, Iran
10.22067/geoeh.2023.83713.1401
Abstract
Climate change has negative impacts on various human activities. As climate hazards are expected to intensify due to these changes, it is crucial to establish climate-resilient sectors to mitigate climate risks. To make informed decisions about climate risk management, strategies should focus on identifying climate hazard patterns. Policymakers, researchers, and the general public can access information from climate-related hazard atlases and other sources to better understand risks and take action to reduce the impacts of these hazards on human health, agriculture, and other sectors. The Qazvin province in northwestern Iran is vulnerable to various atmospheric and climate-related hazards such as frost, drought, heat waves, cold waves, dust storms, air pollution, and flooding. This study used daily maximum and minimum temperature data obtained from ERA5-Land during 1991-2020. The ERA5-Land dataset has a spatial resolution of 0.1 degrees (approximately 9 km) and a temporal resolution of 1 hour. The temperature extremes indices (FD, ID, TXge35, CSDI, WSDI, TR) provided by the Climpact project are used to demonstrate the spatial pattern of each climate-related hazard index for Qazvin Province. Additionally, composite maps of extreme events, land use, and population were provided to aid in the interpretation of the results. The spatial distribution of climate-related hazards in Qazvin province shows that the East north of Qazvin is a frequent hazard zone that experiences a high number of icy days each year, ranging from 100 to 130. Conversely, the central part of the province experiences the highest temperatures, with an annual average of over 50 hot days. The multi-hazard map showed that the central part of the province is affected by multiple climate -related hazards simultaneously and the population and concentrated economic activities are expected to further amplify climate-related socioeconomic risks.
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