hydrogeological boundaries of stratovolcanoes

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Introduction Methods Preliminary results Closing Hydrogeological boundaries of stratovolcanoes | Asian Physics Symposium 2015 Irawan, DE., Sumintadireja, P., Darul, A., Agustin, A., Nurrochman, A., and Puradimaja, DJ. Institut Teknologi Bandung Aug 20, 2015 (version1)

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Page 1: Hydrogeological boundaries of stratovolcanoes

Introduction Methods Preliminary results Closing

Hydrogeological boundaries of stratovolcanoes| Asian Physics Symposium 2015

Irawan, DE., Sumintadireja, P., Darul, A., Agustin, A.,Nurrochman, A., and Puradimaja, DJ.

Institut Teknologi Bandung

Aug 20, 2015 (version1)

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Introduction

Methods

Preliminary results

Closing

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Introduction

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Problem

• Hydrogeological system in volcanic area still has manyquestions, in terms of:

• What is the dominant control to the groundwater flow• The nature of groundwater spring zone• How long is the average residence time in the system

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Important role of volcanoes

• Water tower for the lowlands• Conservation

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Location

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Location2

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Location3

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Location4

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Geological history

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Methods

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Tools

• Preliminary results, computer scale,• Using free program: Topodrive and ParticleFlow from

USGS,• It runs on Windows (off course), Mac and Linux.

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Model specifications

• 2D, finite elements• Boundary condition:

• upper boundary: topography• lower boundary: Tertiary sediments• left and right boundary: no flow

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Data

• Groundwater spring survey, mainly to identify the springzone:

• Gunung Ciremai: step wise 250 - 650 masl, 750 - 1250 masl,1300 - 1500 masl

• Gunung Karang-Pulasari: 200 - 400 masl• Gunung Gede: 500 - 750 masl

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Preliminary results

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Flownet

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Flownet2

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Flownet3

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Discussions

• The model still couldn’t mimic the spring zone perfectly,• Another question arise? Which parameter plays dominant

control to the system,• We did some tryouts of sensitivity test.

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Discussions2

Parameter SensitivityDepth to lower boundary HighThickness of the aquifer LowIntercalation layers HighHydraulic properties Low

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Closing

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Future directions

• Hopefully we can develop our own model, based on the realdata,

• It can be the basis of a more quantitative approach topredict spring emergence,

• More tools to support the model: water quality usingmultivariate analysis (cluster, PCA, decision tree)

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Acknowledgements

• Research funding: ITB• Field team: a group of very dedicated undergrad students

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Thank you

• This slides are made by R-Markdown syntax usingLATEXbackend

• Slides pdf are available at My Slideshare repo• Codes are available at My Github repo• @dasaptaerwin