A clustering classification of catchment anthropogenic modification and relationships with floods.

作者: Guido Paliaga , Francesco Faccini , Fabio Luino , Anna Roccati , Laura Turconi

DOI: 10.1016/J.SCITOTENV.2020.139915

关键词:

摘要: Abstract Anthropogenic modifications at catchments scale may be reconducted primarily soil sealing and streams culverting, even if important consequences result from roads density and, more in general, infrastructures as they cause landscape fragmentation, agricultural areas extension. Their most outcomes terms of hydrologic balance are the decreasing time concentration increasing flood risk catchment scale. The research introduces a methodological approach to classify degree anthropogenic scale: clustering techniques have been applied 508 high-risk flooding sector Mediterranean region. Then, data recorded study area 1900–2018 period compared classification, pointing out relationships with hydrographical network culverting catchment. analysis has performed considering fourteen subsets 8 descriptive parameters each that differ evaluation terminal part network; conducted identifying optimal number corresponding best clusters on quantitative basis. results show three classes is appropriate computational point view. That division looks coherent features studied basins well correlated floods occurrence last 100 years. Finally, proposed methodology disturbance classification other adapting implementing parameters. it used support planning mitigation strategies term risk.

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