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September 16, 2025WaterOpen Access

GIS-Based Automated Waterlogging Depth Calculation and Building Loss Assessment in Urban Communities

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Automated evaluation calculates waterlogging depth and building losses in urban pluvial scenarios, indicating substantial financial risks.

Economic losses from waterlogging reached approximately USD 327.88 million in Jinan City, with residential buildings suffering the most.
The methodology achieved a mean absolute percentage error within 5% for both residential and commercial building assessments.
The proposed framework integrates GIS-based modeling to enable precise estimation of waterlogging depth and consequent damage assessments.
This framework supports other high-density urban areas by applying rainfall scenarios and high-resolution elevation models for localized damage evaluation.

Tseng et al. (2025) studied this question.

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September 16, 2025WaterOpen Access

View Full Paper

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Authors

Automated evaluation calculates waterlogging depth and building losses in urban pluvial scenarios, indicating substantial financial risks.

Economic losses from waterlogging reached approximately USD 327.88 million in Jinan City, with residential buildings suffering the most.
The methodology achieved a mean absolute percentage error within 5% for both residential and commercial building assessments.
The proposed framework integrates GIS-based modeling to enable precise estimation of waterlogging depth and consequent damage assessments.
This framework supports other high-density urban areas by applying rainfall scenarios and high-resolution elevation models for localized damage evaluation.

Tseng et al. (2025) studied this question.

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