Territory Stories

Development of a Groundwater Model for the Western Davenport Plains

Details:

Title

Development of a Groundwater Model for the Western Davenport Plains

Creator

Knapton, Anthony; CloudGMS Pty Ltd

Commissioned by

Northern Territory. Department of Environment, Parks and Water Security

Collection

E-Publications; E-Books; PublicationNT; WRD Technical Report 27/2017

Date

2018-03

Location

Western Davenport Water Control District

Abstract

CloudGMS has been commissioned by DENR to develop a numerical groundwater model of the aquifers within the central area of the WDWCD to improve confidence in the sustainability of the groundwater resources, as this is the area within the WCD with greatest potential for intensive development.

Notes

Made available by via Publications (Legal Deposit) Act 2004 (NT); Prepared for Dept Environment and Natural resources

Table of contents

Executive summary -- 1 Background -- 2 Physical -- 3 Available data -- 4 Conceptual model -- 5 Model design & construction -- 6 Parameter estimation -- 7 Water balances -- 8 Sensitivity analysis -- 9 Predictive scenarios -- 10 Conclusions -- 11 Reference -- 12 Document history and version control -- Appendix A - Groundwater level hydrographs - Appendix B - Alek range horticultural farm sub-regional modelling

Language

English

Subject

Groundwater; Northern Territory; Western Davenport Water Control District; Conceptual mode

Publisher name

Northern Territory Governmnet

Place of publication

Palmerston

Edition

version 2.0

Series

WRD Technical Report 27/2017

Format

ix, 127 pages : colour illustration and maps ; 30 cm

File type

application/pdf

ISBN

9781743502976

Use

Attribution International 4.0 (CC BY 4.0)

Copyright owner

Northern Territory Government

License

https://creativecommons.org/licenses/by/4.0/

Related links

https://hdl.handle.net/10070/842058 [LANT E-Publications: Development of a Groundwater Model for the Western Davenport Plains, version 1.1]

Parent handle

https://hdl.handle.net/10070/858845

Citation address

https://hdl.handle.net/10070/858846

Page content

Western Davenport WCD Groundwater Model (v2.0) Parameter Estimation CloudGMS 84 6.5.6. Pumping data Production bore details used in the transient calibration were taken from data presented in Section and are presented below in Table 19. Table 19 Western Davenport WCD production bore details. Well ID Easting Northing RL [mAHD] Depth [mBGL] Well Field Top [mAHD] Bottom [mAHD] Fraction [%] RN000436 419127.3 7717169.1 362.7 -115.9 267.7 246.9 100 RN005788 438089.0 7676786.0 373.1 -34.2 Wa 345.0 338.9 100 RN010537 438095.0 7676713.0 373.1 -36.6 AH 339.3 336.5 100 RN010744 438256.0 7676972.0 374.9 -54.0 Wa 336.5 326.7 100 RN010753 396030.0 7621290.0 482.0 -99.1 Ta 458.3 433.7 100 RN012697 465836.0 7672903.0 404.3 -30.5 Im 386.0 379.5 100 RN012698 465889.0 7672925.0 404.3 -27.0 Im 387.0 380.6 100 RN015244 420457.0 7700302.0 360.0 -50.0 Wy 322.0 310.0 100 RN015245 420470.0 7700165.0 364.0 -40.0 Wy 336.0 324.0 100 RN015967 420426.0 7699835.0 361.1 -52.0 Wy 327.1 309.1 100 RN016917 397217.5 7622569.5 482.1 -44.0 Ta 450.9 444.9 100 RN018117 428475.0 7679349.0 376.2 -85.1 AFM 314.7 302.7 100 RN018387 430360.0 7677762.0 378.7 -60.0 AFM 330.7 324.7 100 RN018388 429731.0 7677994.0 380.0 -73.0 AFM 315.0 309.0 100 RN018390 429341.0 7678081.0 381.2 -80.3 AFM 315.9 303.9 100 RN018632 404473.0 7684200.0 383.0 -143.7 NJ 298.0 257.0 100 RN018633 403020.0 7684602.0 382.0 -52.7 NJ 342.5 336.5 100 RN018909 403520.0 7684847.0 382.0 -84.8 NJ 328.0 304.0 100 RN018910 403518.0 7684095.0 386.0 -87.5 NJ 334.5 304.5 100 RN018931 403258.0 7684856.0 382.0 -90.0 NJ 331.5 307.5 100 RN018932 402965.0 7684396.0 384.0 -104.0 NJ 318.0 288.0 100 AFM AFM Central Australia; AH Alekerange Horticulture; Im Imangara community; NJ Neutral Junction Irrigated Pasture; Ta Tara community; Wa Warrabri; Wy Wycliffe Well Co-ordinates GDA94 MGA53 RL is relative level in metres above Australian height datum TD is the total depth of the bore in metres below ground level The available pumping data is presented in section 3.9, however, there is a lack of extraction data prior to 2006. Infilling the pumping data employed the following methodology: The missing data was assumed to have a usage pattern that was consistent with the reported usage prior to the data gap. The data gap was in-filled with the average monthly usages. The resulting monthly pumping timeseries data used in the calibration of the transient model are presented in Figure 6-5.