Climate Hazard Risk Map Overlaying Flood Data with Real Estate Assets
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Solution Overview
Problem
Current technologies lack effective methods for predicting and visualizing climate hazard risks, particularly flooding, which are becoming more frequent due to climate change, leading to inadequate preparation and increased costs for urban planning, insurance, and asset management.
Innovation Solution
A system and method utilizing geolocation data to generate visual representations of climate hazard risks through a global climate platform, combining a climate hazard dashboard, cloud data warehouse, and business intelligence analytics to create maps that overlay flood hazard data with real estate asset data, enabling users to understand risk scenarios and probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional flood hazard mapping methods are used, then mapping coverage is limited and data is outdated, but implementing comprehensive modern mapping systems requires significant complexity in data integration and processing
Solution Approach 1:
The system segments the complex flood hazard mapping problem into distinct functional modules: data acquisition module (collecting precipitation, soil, topography data), risk calculation module (processing hazard probabilities), and visualization module (generating maps). This segmentation allows each module to be developed and maintained independently while achieving comprehensive flood hazard assessment.
Solution Approach 2:
The patent introduces a computer system as an intermediary that automatically integrates and processes data from multiple sources (weather services, geographic databases, soil databases) and performs complex risk calculations. This intermediary handles the data integration complexity, allowing users to obtain precise flood hazard maps without directly managing the complex processing requirements.
2Measurement precision
If comprehensive climate hazard data collection is implemented, then risk assessment accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing climate hazard data (precipitation patterns, soil characteristics, topography information) in structured databases before actual risk assessment is needed. This pre-processing allows the system to quickly retrieve and combine relevant data during hazard mapping operations, reducing real-time processing requirements while maintaining comprehensive data coverage.
3Reliability
If detailed geographic mapping of climate hazards is provided, then urban planning and asset management decisions improve, but the cost of implementing and maintaining the system increases
Solution Approach 1:
The patent designs a universal system that serves multiple functions: flood hazard mapping, climate risk assessment, urban planning support, and asset management. By creating a multi-functional platform that can be applied across different geographic regions and use cases, the system achieves economies of scale, reducing the per-unit cost of implementation while providing comprehensive decision-making support.
Data Source
AI summary
A system and method for generating visual representations of climate hazard risk identifies geographic regions associated with flood hazard risks or risks of other extreme weather events. Disclosed embodiments may identify geographic regions associated with climate hazard risk using geolocation data such as geo-coordinates or postal zones. In a climate hazard risk platform, a climate hazard dashboard generates dashboards and reports providing visual representations of climate hazards and real estate assets within a selected geographic region. These dashboards and reports enable users to understand risk in different scenarios, such as projections over various time frames, physical climate hazard types, current and future time frames, and probabilities of occurrence. The platform includes a cloud data warehouse and a business intelligence (BI) analytics component. A climate hazard risk map may overlay a map of estimated climate hazard and a map of real estate assets within the selected geographic region.