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| Type: | Resource | |
| Storage: | The size of this resource is 178 bytes | |
| 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 |
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| Views: | 263 |
| Downloads: | 197 |
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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.
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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