Estimation of Natural and Artificial Recharge of Shahreza Plain Groundwater in Isfahan Using CRD and Hantush Models
Mohsen Nekooei1, Jahangir Abedi Koupai1, Saeid Eslamian1, Vijay P. Singh2 & Kaveh Ostad-Ali-Askari3 Show affiliations
- Isfahan University of Technology, Iran
- Texas A and M University, United States
- Islamic Azad University, Iran
American Journal of Engineering and Applied Sciences, Volume 13, Issue 2, pp. 283–295 · doi.org/10.3844/ajeassp.2020.283.295
Abstract
Cumulative Rainfall Departure model (CRD) is widely used for estimation of ground natural recharge. This model is based on the groundwater balance and it requires random parameters. Moreover, an increase in the static level under artificial recharge facility is simulated using diffusion equations. Since Shahreza Plain is located in an arid and semi-arid area and given that rainfall is the major recharge source in such regions, in this study CRD model is applied in order to estimate natural recharge of Shahreza Plain groundwater. The amount of groundwater basin fed by rainfall was estimated about 177.2 million cubic meters using the CRD model. Also, by investigating and comparing available artificial recharge plans in Shahreza Plain it was known that in Kohrouyeh Project due to high soil permeability the increase in water table depth was higher than other projects and it achieves the maximum level of the water table within less time. By investigating the course of groundwater quality change in upstream and downstream boreholes of artificial recharge plans and given dewatering periods, we found that artificial recharge plans are generally effective in improving groundwater quality in the direction of groundwater movement but these changes are not significant. Hence, it is demonstrated that groundwater change mostly depends on the groundwater drop.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Nekooei, M., Koupai, J. A., Eslamian, S., Singh, V. P. & Ostad-Ali-Askari, K. (2020). Estimation of Natural and Artificial Recharge of Shahreza Plain Groundwater in Isfahan Using CRD and Hantush Models. American Journal of Engineering and Applied Sciences, 13(2), 283–295. https://doi.org/10.3844/ajeassp.2020.283.295
- Licence
- CC BY 3.0
- Issue
- Volume 13, Issue 2
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
