Multi-variable flood damage modelling with limited data using supervised learning approaches
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DOI: 10.5194/nhess-17-1683-2017
Abstract: Abstract. Flood damage assessment is usually done with damage curves only dependent on the water depth. Several recent studies have shown that supervised learning techniques applied to a multi-variable data set can produce significantly better… read more here.
Keywords: multi variable; flood damage; variable flood; damage ... See more keywords
Data-mining for multi-variable flood damage modelling with limited data
Sign Up to like & getrecommendations! Published in 2017 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2017-7
Abstract: Flood damage assessment is usually done with damage curves only dependent on the water depth. Recent studies have shown that data-mining techniques applied to a multi-dimensional dataset can produce significantly better flood damage estimates. However,… read more here.
Keywords: multi variable; data mining; flood damage; variable flood ... See more keywords