NDLI: Using computational intelligence techniques to model subglacial water systems

Content Provider	Springer Nature Link
Author	Corne, Simon Murray, Tavi Openshaw, Stan See, Linda Turton, Ian
Copyright Year	1999
Abstract	Measurements of water pressure beneath Trapridge Glacier, Yukon Territory, Canada show that the basal water system is highly heterogeneous. Three types of behaviour were recorded: pressure records which are strongly correlated, records which are strongly anticorrelated, and records which alternate between strong correlation and strong anticorrelation. We take the pressure in bore-holes that are connected to the evacuation route for basal water as the forcing, and the other pressures as the response to this forcing. Previous work (Murray and Clarke 1995) has shown that these relationships can be modelled using low-order nonlinear differential equations optimized by inversion. However, despite optimizing the model parameters we cannot be sure that the final model forms are themselves optimal. Computational intelligence techniques provide alternative methods for fitting models and are robust to missing or noisy data, applicable to non-smooth models, and attempt to derive optimal model forms as well as optimal model parameters. Four computational intelligence techniques have been used and the results compared with the more conventional mathematical model. These methods were genetic programming, artificial neural networks, fuzzy logic and self-organizing maps. We compare each technique and offer an evaluation of their suitability for modelling the pressure data. The evaluation criteria are threefold: (1) goodness of fit and an ability to predict subsequent data under different surface weather conditions; (2) interpretability, and the extent and significance of any new insights offered into the physics of the glacier; (3) computation time. The results suggest that the suitability of the computational intelligence techniques to model these data increases with the complexity of the system to be modelled.
Starting Page	37
Ending Page	60
Page Count	24
File Format	PDF
ISSN	14355930
Journal	Journal of Geographical Systems
Volume Number	1
Issue Number	1
Language	English
Publisher	Springer-Verlag
Publisher Date	1999-03-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Economics and Econometrics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Computational intelligence techniques in geography. An introduction

An integrated urban systems model with GIS

Using GIS to promote spatial analysis

Journal of Geographical Systems

Isard’s contributions to spatial interaction modeling

Space-Time Intelligence Systems: Technology, applications and methods

An empirical test of the competing destinations model

Accessibility tradeoffs in public transit planning

GeoComputation and Spatial Analysis

Using computational intelligence techniques to model subglacial water systems

Similar Documents

Computational intelligence techniques in geography. An introduction

An integrated urban systems model with GIS

Using GIS to promote spatial analysis

Journal of Geographical Systems

Isard’s contributions to spatial interaction modeling

Space-Time Intelligence Systems: Technology, applications and methods

An empirical test of the competing destinations model

Accessibility tradeoffs in public transit planning

GeoComputation and Spatial Analysis

Using computational intelligence techniques to model subglacial water systems