A novel methodology for Groundwater Flooding Susceptibility assessment through Machine Learning techniques in a mixed-land use aquifer-Reference-Cited by-同舟云学术

A novel methodology for Groundwater Flooding Susceptibility assessment through Machine Learning techniques in a mixed-land use aquifer

Published:2021-10 Issue: Volume:790 Page:148067
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Allocca Vincenzo,Di Napoli Mariano,Coda Silvio,Carotenuto Francesco,Calcaterra Domenico,Di Martire Diego,De Vita Pantaleone

Funder

Ministero dell'Istruzione dell'Università e della Ricerca

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference109 articles.

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2. Aicha, O., Abdessamad, G., Hassane, J.O., 2020. Groundwater Flooding in Urban Areas: Occurrence process, Potential Impacts and The Role Of Remote Sensing And GIS Techniques In Preventing It. In: 2020 IEEE International Conference of Moroccan Geomatics (Morgeo), 1–5.

3. Scenari idrodinamici nella piana ad Oriente di Napoli (Italia) nell’ultimo secolo: cause e problematiche idrogeologiche connesse;Allocca;Giorn. Geol. Appl.,2008

4. Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy);Allocca;Hydrol. Earth Syst. Sci.,2014

5. Rising groundwater levels and impacts in urban and semirural are around Naples (southern Italy);Allocca;Rend. Online Soc. Geol. Ital.,2016

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