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GroMoPo Metadata for Punjab FEFLOW model


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Created: Feb 08, 2023 at 4:27 a.m.
Last updated: Feb 08, 2023 at 4:27 a.m.
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Abstract

In recent years, extensive competition for groundwater use among different consumers has exploited major freshwater aquifers in Pakistan. There is an urgent need for appraisal of this precious resource followed by some mitigation strategies. This modelling study was conducted in the mixed cropping zone of the Punjab, Pakistan. Both remote sensing and secondary data were utilized to achieve objectives of this study. The data related to piezometric water levels, canal gauges, well logs, meteorological and lithological information were collected from Punjab Irrigation Department (PID), Water and Power Development Authority (WAPDA). Groundwater flow models for both steady and transient conditions were set-up using FEFLOW-3D. Water balance components and recharge were estimated using empirical relations and inverse modelling approaches. Both manual and automated approaches were utilized to calibrate the models. Moreover, sensitivity analysis was performed to see the response of model output against different model input parameters. Followed by calibration and validation, the model was run for different management scenarios, including lining of canal sections, minimization of field percolation, and change of groundwater abstraction. The study results show a drop in groundwater levels for almost all scenarios. The highest negative change was observed for the 4th scenario (i.e. 25% increase in groundwater pumping over a 10-year period), with a value of 3.73 m, by ignoring very wet summer and winter seasons. For normal weather conditions, the highest negative change was observed for the 4th scenario with a value of 2.91 m followed by 2.68 m for the 3rd scenario (i.e. 50% reduction in canal seepage and field percolation l over a 10-year period). For very wet summer and winter seasons, only one positive change was observed, for the 5th scenario (i.e. 25% decrease in groundwater pumping during 10 years period), with a value of 1.17 m. The changes for all other scenarios were negative. The mitigation strategy may include less groundwater pumping, by supporting cultivation of low delta crops and adjusting cropping patterns considering canal water supplies. It is further suggested to support current modelling results by incorporating more detailed information on cropping and by exploring the effect of climate change.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Pakistan
North Latitude
30.1525°
East Longitude
71.5805°
South Latitude
28.5486°
West Longitude
70.3523°

Content

Additional Metadata

Name Value
DOI 10.4314/wsa.v44i2.01
Depth 150
Scale 1 001 - 10 000 km²
Layers 4
Purpose Groundwater resources
GroMoPo_ID 200
IsVerified True
Model Code Feflow
Model Link https://doi.org/10.4314/wsa.v44i2.01
Model Time SS
Model Year 2018
Model Authors Usman, M; Liedl, R; Arshad, M; Conrad, C
Model Country Pakistan
Data Available Report/paper only
Developer Email Muhammad.usman@uni-wuerzburg.de
Dominant Geology Model focuses on multiple geologic materials
Developer Country Pakistan; Germany
Publication Title 3-D numerical modelling of groundwater flow for scenario-based analysis and management
Original Developer No
Additional Information This modelling study was conducted in the mixed cropping zone of the Punjab, Pakistan. Both remote sensing and secondary data were utilized to achieve objectives of this study.
Integration or Coupling Water use
Evaluation or Calibration Static water levels
Geologic Data Availability Yes

How to Cite

GroMoPo, E. Leijnse (2023). GroMoPo Metadata for Punjab FEFLOW model, HydroShare, http://www.hydroshare.org/resource/3f6c0528e23b4cc7b3e2bfc2d6fc8ad7

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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