GroMoPo Metadata for Mosian plain model

Authors:

GroMoPo Emilia Leijnse

Owners:

gromopo_admin

Type:

Resource

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The size of this resource is 1.7 KB

Created:

Feb 08, 2023 at 3:28 a.m.

Last updated:

Feb 08, 2023 at 3:29 a.m.

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Abstract

Quantifying recharge from agricultural areas is important to sustain long-term groundwater use, make intelligent groundwater allocation decisions, and develop on-farm water management strategies. The scarcity of data in many arid regions, especially in the Middle East, has necessitated the use of combined mathematical models and field observations to estimate groundwater recharge. This study was designed to assess the recharge contribution to groundwater from rainfall and irrigation return flow in the Mosian plain, west of Iran. The Inverse modeling approach and remote sensing technology (RS) were used to quantify the groundwater recharge. The recharge for steady-state conditions was estimated using the Recharge Package of MODFLOW. The land-use map for the research area was produced using remote sensing and satellite images technology. According to results, groundwater recharge from the rainfall and irrigation return flow was at the rate of 0.15 mm/day. The recharge to the groundwater from rainfall was about 0.08 mm/day (10.8 % of total rainfall). The average of groundwater recharge contribution in the study area was about 0.39 mm/day that include 15.2 % of the total water used in the irrigated fields. We can conclude that irrigation water is the most important resource of groundwater recharge in this area, consequently, it should be integrated into relevant hydrological models as the main source of groundwater recharge.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Iran

North Latitude

32.5667°

East Longitude

47.6500°

South Latitude

32.3667°

West Longitude

47.1667°

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
DOI	10.1007/s11269-016-1261-6
Depth	180
Scale
Layers	1
Purpose	Groundwater resources
GroMoPo_ID	167
IsVerified	True
Model Code	MODFLOW
Model Link	https://doi.org/10.1007/s11269-016-1261-6
Model Time	SS
Model Year	2016
Model Authors	Ebrahimi, H; Ghazavi, R; Karimi, H
Model Country	Iran
Data Available	Report/paper only
Developer Email	h.ebrahimi33@gmail.com; ghazavi@kashanu.ac.ir; haji.karimi@gmail.com
Dominant Geology	Unconsolidated sediments
Developer Country	Iran
Publication Title	Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS
Original Developer	No
Additional Information	This study was designed to assess the recharge contribution to groundwater from rainfall and irrigation return flow in the Mosian plain, west of Iran. The Inverse modeling approach and remote sensing technology (RS) were used to quantify the groundwater recharge.
Integration or Coupling	Water management
Evaluation or Calibration	Static water levels
Geologic Data Availability	Unsure

How to Cite

GroMoPo, E. Leijnse (2023). GroMoPo Metadata for Mosian plain model, HydroShare, http://www.hydroshare.org/resource/a8f1e21a6b624cc09bfa06b96dcd13b0

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

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

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