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Cities / Rasht

Rasht

Iran

Rasht is projected to face a future marked by moderate climate risks, driven by increasing temperatures and shifting precipitation patterns. These changes may lead to water scarcity and threaten agricultural productivity. Additionally, the city is likely to experience heightened vulnerability to extreme weather events, such as floods and heatwaves, posing significant challenges to urban infrastructure and public health. The impact of rising temperatures could also disrupt local ecosystems, contributing to biodiversity loss and affecting ecosystem services. Furthermore, Rasht's specific geographical features may exacerbate climate hazards, increasing the city's susceptibility to coastal and water-related risks. While technology-enabled climate resilience solutions have not yet been documented for this location, addressing these climate hazards remains crucial for enhancing adaptive capacities and mitigating risks associated with climate change.

Hazard Outlook

How will Rasht's projected climate hazards compare to other cities under a 3.0°C future warming scenario?

Longest Heatwave

98th percentile Very high exposure

Rasht may experience heatwaves lasting up to 24 days, among the highest of all other cities.

Rasht
0.0 Shorter → Longer 92

Elevation

0th percentile Very high exposure

At -4 m elevation, Rasht faces very high risk from coastal flooding and sea level rise.

Rasht
-8.0 Lower → Higher 4k

Heavy Rainfall Days

31st percentile Moderate exposure

With 10 days of heavy rainfall expected, Rasht ranks near the median of cities for extreme precipitation events.

Rasht
0.0 Fewer → More 36

Maximum Temperature

24th percentile Lower exposure

Rasht's projected maximum temperature of 8.5°C is lower than most cities globally under a 3.0°C warming scenario.

Rasht
5.0 Cooler → Hotter 13

Maximum Rainfall

4th percentile Lower exposure

Rasht's projected maximum rainfall of 4 mm is lower than most cities globally.

Rasht
0.0 Lower → Higher 35

Exposure Summary

Heatwave
Elevation
Heavy Rain
Max Temp
Max Rain

Adaptation Priorities

Rasht faces high exposure to heatwave, elevation. These areas may warrant priority attention in adaptation planning.

Data source: Climate projections from the IPCC AR6 scenario analysis. See our methodology for details on how we process and interpret this data.

Deployed Solutions

Deployed climate adaptation technologies identified in Rasht.

No solutions have been documented for Rasht.

This is an archived snapshot of the database.

Recommended Solutions

Proven solutions from similar cities that could help diversify Rasht's resilience portfolio

Integrated Hydro-Meteorological Warning System
65%
From: Da Nang

The Integrated Hydro-Meteorological Warning System (IHWS) was implemented in Central Vietnam, specifically in Da Nang City and Quang Nam Province, serving a population of 1,300,000 inhabitants in areas particularly vulnerable to natural disasters.
Inclusive Sign Language Early Warning System for Deaf Communities
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From: Da Nang

An inclusive early warning system was developed and piloted in Da Nang to address critical gaps in disaster communication for the deaf and hard of hearing (DHH) community.
Visual Climate Adaptation Platform for Cyclone Risk Assessment
65%
From: Da Nang

CSIRO Australia conducted a demonstration study of the Visual Climate Adaptation Platform (VCAP) in Da Nang, a GIS-based platform enabling users to assess impact, costs and benefits of adaptation options for housing or infrastructure subjected to natural hazards.
Continuous Ambient Air Quality Monitoring Stations (CAAQMS)
65%
From: Bengaluru

Bengaluru plans to procure 13 new Continuous Ambient Air Quality Monitoring Stations (CAAQMS) and transition existing manual stations to CAAQMS systems by 2035.
Reservoir Water Level Monitoring and Early Warning System
65%
From: Da Nang

Da Nang planned to build warning systems linked to water level at Truc Dong and Hoc Khe reservoirs as part of investing in hydro-meteorologic monitoring and early warning systems for flood, flash flood and reservoir breakdown.
Community-Led Participatory Flood Risk Mapping Using Open-Source Tools
64%
From: Lagos

Community-led resources mapping represents an effective and replicable model for Lagos to strengthen preparation against flood management challenges.
Air Quality Hotspot Forecasting and Early Warning System
60%
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Mumbai is implementing an air pollution hotspot-based forecasting system designed to provide ward and zonal-level air quality predictions across the metropolitan region.
Geospatial Mangrove Monitoring and Hydrodynamic Modeling System
60%
From: Mumbai

Geospatial monitoring tools have been deployed to track spatial and temporal changes in mangrove ecosystems along Thane Creek, Mumbai, combining satellite imagery analysis with hydrodynamic modeling to understand coastal dynamics.
Lagos State Emergency Command and Control Centre
64%
From: Lagos

Lagos State has developed a comprehensive emergency management platform centered on the Lagos State Command and Control Centre (LSCCC), which has served as the central hub for coordinating emergency services including LASEMA, Lagos State Fire and Rescue Service, LASTMA, LASAMBUS, and the Rapid Response Squad since its inception in 2010.
Urban Greening and Heat Island Monitoring Dashboard
60%
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The city dashboard initiative enables municipal authorities to access and monitor information regarding urban greening and heat island effects at both city and ward levels.