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Wah Cantonment is projected to face severe climate hazards, notably extreme heat and dangerous heat extremes, which will impact public health and infrastructure. The city will also experience more frequent heavy rainfall events, heightening the risk of flooding and complicating water management. These escalating climate challenges may jeopardize agriculture, stress water resources, and exacerbate heat-related health issues. As the city grapples with these vulnerabilities, it becomes vital to acknowledge the implications they hold for community resilience and sustainability in the face of climate change. Without identified technology-enabled solutions, it is crucial to recognize the potential impacts of these hazards on the population and environment, highlighting the urgent need for strategic planning and adaptation efforts in Wah Cantonment.

Hazard Outlook

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

Maximum Temperature

93rd percentile Very high exposure

Wah Cantonment's projected maximum temperature of 11.8°C is among the highest of all cities globally under a 3.0°C warming scenario.

Wah Cantonment
5.0 Cooler → Hotter 13

Maximum Rainfall

86th percentile High exposure

Wah Cantonment's projected maximum rainfall of 16 mm is among the highest of all cities globally.

Wah Cantonment
0.0 Lower → Higher 35

Longest Heatwave

36th percentile Moderate exposure

Wah Cantonment may experience heatwaves lasting up to 4 days, near the median of other cities.

Wah Cantonment
0.0 Shorter → Longer 92

Heavy Rainfall Days

40th percentile Moderate exposure

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

Wah Cantonment
0.0 Fewer → More 36

Elevation

80th percentile Lower exposure

At 458 m elevation, Wah Cantonment faces lower risk from coastal flooding and sea level rise.

Wah Cantonment
-8.0 Lower → Higher 4k

Exposure Summary

Max Temp
Max Rain
Heatwave
Heavy Rain
Elevation

Adaptation Priorities

Wah Cantonment faces high exposure to max temp, max rain. 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 Wah Cantonment.

No solutions have been documented for Wah Cantonment.

This is an archived snapshot of the database.

Recommended Solutions

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

Aquifer Mapping Integration for Groundwater Governance
73%
From: Pune

The Pune Municipal Corporation (PMC) is integrating comprehensive aquifer mapping into its enterprise Geographic Information System (GIS) to enable scientific groundwater management and transparent resource governance.

Reservoir Water Level Monitoring and Early Warning System
70%
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.

GIS-Based Groundwater Protection Zoning and Database System
70%
From: Huangshi

This approach establishes a comprehensive groundwater management system for Huangshi through Geographic Information Systems (GIS) technology to address severe contamination and inadequate surveying of the city's groundwater resources.

Automated Water and Rain Monitoring System with Provincial Integration
70%
From: Huangshi

The Huangshi Municipal Housing and Urban-Rural Development Bureau is constructing an automatic measuring and reporting system of water and rain that connects with the provincial flood monitoring system to realize information sharing through a special communication module.

Multi-Hazard Risk Assessment and Early Warning System
69%
From: Tbilisi

Tbilisi City Hall planned to develop an integrated Multi-Hazard Risk Assessment and Early Warning System that would incorporate high-resolution models for weather and hydrological forecasting.