Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Comparative Study of the Physicochemical Response of Two Karst Systems During Contrasting Flood Events in the French Jura Mountains Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Neural Networks Model as Transparent Box: Toward Extraction of Proxies to Better Assess Karst/River Interactions (Coulazou Catchment, South of France)

Authors : L. Kong-A-Siou, H. Jourde, A. Johannet

Published in: Hydrogeological and Environmental Investigations in Karst Systems

Publisher: Springer Berlin Heidelberg

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Karst catchments frequently exhibit complex exchanges between surface and subterranean flow. While the swing between surface flood and underground flood is complex, the ability to predict such behavior would be of great interest for flood forecasting and water recharge assessment. To this end an innovative methodology is proposed to visualize internal variables of a neural network model. It proves to be efficient to extract internal variables highly correlated to measured signals previously identified as proxy of the karst-river exchanges. The study focuses on a small Mediterranean catchment where karst/river interactions control the dynamic and genesis of surface floods. But the methodology is generic and can be applied to any catchment provided the availability of a sufficient database.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Relating Land Surface Information and Model Parameters for a Karst System in Southern Spain
next chapter Neural Networks for Karst Spring Management. Case of the Lez Spring (Southern France)
Literature
Bailly-Comte V, Jourde H, Roesch A, Pistre S (2008) Mediterranean flash flood transfer through karstic area. Environ Geol 54:605–614CrossRef
Bailly-Comte V, Jourde H, Pistre S (2009) Conceptualization and classification of groundwater-surface water hydrodynamic interaction in karst watersheds: case of the karst watershed of the Coulazou River (Southern France). J Hydrol 376:456–462CrossRef
Bailly-Comte V, Borrell V, Jourde H, Pistre S (2012) A conceptual semidistributed model of the Coulazou River as a tool for assessing surface water–karst groundwater interactions during flood in Mediterranean ephemeral rivers. Water Resour Res 48(W09534):14
Dreyfus G (2005) Neural networks methodology and applications, 1st edn. Springer, Berlin
Jain A, Kumar S (2009) Dissection of trained neural network hydrologic models for knowledge extraction. Water Resour Res 45
Johannet A, Mangin A, D’Hulst D (1994) Subterranean water infiltration modelling by neural networks : use of water source flow. Int Conf Artif Neural Netw ICANN 94(2):1033–1036
Johannet A, Vayssade B, Bertin D (2008) Neural networks: from black box towards transparent box application to evapotranspiration modeling. Int J Comput Intell 4
Jourde H, Roesch A, Guinot V, Bailly-Comte V (2007) Dynamics and contribution of karst groundwater to surface flow during Mediterranean flood. Environ Geol 51(5):725–730CrossRef
Jourde H, Lafare A, Mazzilli N, Belaud G, Neppel L, Dörfliger N, Cernesson F (2014) Flash flood mitigation as a positive consequence of anthropogenic forcing on the groundwater resource in a karst catchment. Environ Earth Sci 71(2):573–583CrossRef
Kong-A-Siou L, Cros K, Johannet A, Borrell-Estupina V, Pistre S (2013) KnoX method, or knowledge extraction from neural network model. Case study on the Lez karst aquifer (southern France). J Hydrol 507:19–32CrossRef
Metadata
Title
Neural Networks Model as Transparent Box: Toward Extraction of Proxies to Better Assess Karst/River Interactions (Coulazou Catchment, South of France)
Authors
L. Kong-A-Siou
H. Jourde
A. Johannet
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
Hydrogeological and Environmental Investigations in Karst Systems

Print ISBN: 978-3-642-17434-6

Electronic ISBN: 978-3-642-17435-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-642-17435-3_40