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2021•15th International Conference Monitoring of Geological Processes and Ecological Condition of the EnvironmentRequires access

Digital elevation models resolution impact on Topographic Wetness Index mapping: A case study in Coimbra (Portugal)

Luís Valença Pinto, Carla Ferreira, Pedro de Souza Pereira

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Abstract

Summary Flooding events intensity and magnitude are expected due to climate change, increasing the probability of pluvial floods, with adverse social, economic and environmental impacts. Topographic-related indexes are important to identify morphological features. The Topographic Wetness Index (TWI) is one of such indexes that can help to identify water accumulation areas. However, TWI results depend on the digital elevation models resolution. This paper analyses TWI results obtained from two DEM with different resolutions (2.5m and 10m). The results of this work contribute to identifying with more accuracy the areas potentially affected by floods.

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What this paper is about

Summary Flooding events intensity and magnitude are expected due to climate change, increasing the probability of pluvial floods, with adverse social, economic and environmental impacts. Topographic-related indexes are important to identify morphological features. The Topographic Wetness Index (TWI) is one of such indexes that can help to identify water accumulation areas. However, TWI results depend on the digital elevation models resolution. This paper analyses TWI results obtained from two DEM with different resolutions (2.5m and 10m). The results of this work contribute to identifying with more accuracy the areas potentially affected by floods.

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Available abstract

Summary Flooding events intensity and magnitude are expected due to climate change, increasing the probability of pluvial floods, with adverse social, economic and environmental impacts. Topographic-related indexes are important to identify morphological features. The Topographic Wetness Index (TWI) is one of such indexes that can help to identify water accumulation areas. However, TWI results depend on the digital elevation models resolution. This paper analyses TWI results obtained from two DEM with different resolutions (2.5m and 10m). The results of this work contribute to identifying with more accuracy the areas potentially affected by floods.

Key concepts: Digital elevation model, Topographic Wetness Index, Elevation (ballistics), Pluvial, Index (typography), Flooding (psychology), Climate change, Environmental science

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