GroMoPo Metadata for Central Limpopo MODFLOW model

Authors:

GroMoPo Sacha Ruzzante

Owners:

gromopo_admin

Type:

Resource

Storage:

The size of this resource is 1.5 KB

Created:

Feb 08, 2023 at 3:31 p.m.

Last updated:

Mar 23, 2023 at 6:30 p.m.

Citation:

See how to cite this resource

Sharing Status:	Public
Views:	1038
Downloads:	229
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

Groundwater is a valuable resource of limited extent both in quantity and in space. In order to ensure its careful use, proper evaluation of its availability is required. The majority of groundwater flow numerical models still provide only deterministic predictions with no supplementary information on uncertainty predictions. Stochastic groundwater management aims at treating uncertainty within decision oriented models in a logical and systematic manner which cannot be experienced in deterministic modelling approach. This paper presents a detailed methodology followed in the development of a stochastic groundwater model under uncertain recharge. The methodology is comprised of two steps (1) The development of a groundwater flow model and (2) the development of a stochastic solutionstochastic groundwater flow model considering recharge as uncertain parameter. The groundwater flow model was developed and simulated using MODFLOW 20 0 0 software and calibrated using Parameter Estimation Program (PEST). Validated model compared well with calibrated model. The uncertainty in recharge was propagated to the flow model through Monte Carlo (MC) sampling technique. The methodology demonstrated the importance of developing groundwater flow models that acknowledge the existence of recharge uncertainty and hence consider it in the development of groundwater management solutions. (C) 2020 The Author(s). Published by Elsevier B.V.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

South Africa

North Latitude

-28.7000°

East Longitude

24.2000°

South Latitude

-29.7000°

West Longitude

22.8000°

Streets Terrain Satelite

Spatial Extent

Content

Learn more about the BagIt download

Select a file to see file type metadata.

Additional Metadata

Name	Value
DOI	10.1016/j.mex.2020.100907
Depth	60
Scale	10 001 - 100 000 kmÂ²
Layers	1
Purpose	Scientific investigation (not related to applied problem)
GroMoPo_ID	313
IsVerified	True
Model Code	MODFLOW
Model Link	https://doi.org/10.1016/j.mex.2020.100907
Model Time	SS
Model Year	2020
Model Authors	Rwanga, S; Ndambuki, J
Model Country	South Africa
Data Available	Report/paper only
Developer Email	sophia.rwanga@yahoo.com; jmndambuki@yahoo.co.uk
Dominant Geology	Unsure
Developer Country	South Africa
Publication Title	Dataset of development of stochastic groundwater flow under uncertain recharge
Original Developer	No
Additional Information
Integration or Coupling	None of the above
Evaluation or Calibration
Geologic Data Availability	No

How to Cite

GroMoPo, S. Ruzzante (2023). GroMoPo Metadata for Central Limpopo MODFLOW model, HydroShare, http://www.hydroshare.org/resource/0d1ac3a0d1ac4340adc299b1c0548d57

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

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

Comments

There are currently no comments

	Name:
	Organization:
	Email:
	Address:
	Phone:
	Homepage:
	Author Identifiers: