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| Type: | Resource | |
| Storage: | The size of this resource is 181 bytes | |
| Created: | Feb 08, 2023 at 9:51 p.m. | |
| Last updated: | Feb 08, 2023 at 9:52 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 684 |
| Downloads: | 187 |
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Abstract
Surface water-groundwater interactions in arid zones are characterized by water exchange processes in a complex system comprising intermittent streams/terminal lakes, shallow aquifers, riparian zone evapotranspiration, and groundwater withdrawal. Notable challenges arise when simulating such hydrological systems; for example, field observations are scarce, and hydrogeological parameters exhibit considerable spatial heterogeneity. To reduce the simulation uncertainties, in addition to groundwater head and river discharge measurements, we adopted remote sensing-based evapotranspiration data and lake area dynamics as known conditions to calibrate the model. We chose the Ejina Basin, located in the lower reaches of the Heihe River Basin in arid northwest China, as the study area to validate our modelling approach. The hydrological system of this basin is characterized by intensive, spatiotemporally variable surface water-groundwater interactions. The areas of the terminal lakes into which all river runoff flows vary significantly depending on the ratio between river runoff and lake evaporation. Simulation results with a monthly time step from 2000 to 2017 indicate that river leakage accounted for approximately 61% of the total river runoff. Our study shows that for areas where surface water and groundwater observations are sparse, combining remote sensing product data of surface water areas and evapotranspiration can effectively reduce the uncertainty in coupled surface water and groundwater simulations.
Subject Keywords
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Additional Metadata
| Name | Value |
|---|---|
| DOI | 10.3390/rs14071657 |
| Depth | 500 |
| Scale | 10 001 - 100 000 km² |
| Layers | 3 |
| Purpose | Groundwater resources |
| GroMoPo_ID | 464 |
| IsVerified | True |
| Model Code | MODFLOW |
| Model Link | https://doi.org/10.3390/rs14071657 |
| Model Time | 2000-2017 |
| Model Year | 2022 |
| Model Authors | Vasilevskiy, P; Wang, P; Pozdniakov, S; Wang, TY; Zhang, YC; Zhang, XJ; Yu, JJ |
| Model Country | China |
| Data Available | Report/paper only |
| Developer Email | valenciacf@mail.ru; wangping@igsnrr.ac.cn; sppozd@mail.ru; wangtianye@zzu.edu.cn; zhangych@lreis.ac.cn; zhangxj@mail.sustech.edu.cn; yujj@igsnrr.ac.cn |
| Dominant Geology | Unconsolidated sediments |
| Developer Country | Russia; Peoples R China |
| Publication Title | Simulating River/Lake-Groundwater Exchanges in Arid River Basins: An Improvement Constrained by Lake Surface Area Dynamics and Evapotranspiration |
| Original Developer | No |
| Additional Information | |
| Integration or Coupling | Surface water |
| Evaluation or Calibration | Dynamic water levels;River runoff; lake area |
| Geologic Data Availability | No |
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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