Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

GroMoPo Metadata for Mosian plain model


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: 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.
Citation: See how to cite this resource
Sharing Status: Public
Views: 293
Downloads: 209
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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°

Content

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/
CC-BY

Comments

There are currently no comments

New Comment

required