AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (2.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Application of the cumulative rainfall departure method in determination of deep groundwater recharge in Soc Trang Province, Vietnam

Tran Vu Long1Nguyen Bach Thao1Dao Duc Bang1Kieu Thi Van Anh1Vu Thu Hien1Duong Thi Thanh Thuy1Tran Quang Tuan1Nguyen Van Hoang2( )Doan Anh Tuan2Dang Tran Trung3
Hanoi University of Mining and Geology, 18 Vien Street, Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam
Institute of Geological Sciences, VAST, 84 Lane, Chua Lang Street, Lang Thuong Ward, Dong Da District, Hanoi, Vietnam
Center for Water Resources Warning and Forecast, Vietnam NAWAPI, No 93/95 Vu Xuan Thieu Street, Sai Dong Ward, Long Bien District, Hanoi, Vietnam
Show Author Information

Abstract

Groundwater (GW) is a vital freshwater resource extensively exploited in the Vietnamese Mekong Delta, especially during the dry seasons. This study applies the Cumulative Rainfall Departure (CRD) method to estimate GW recharge in deep aquifers of Soc Trang Province, located in the southernmost region of Vietnam under a tropical climate. Monthly rainfall records and daily GW level data of the aquifers from 2010 to 2020 were used. The Pearson correlation between observed GW levels and CDR model GW levels exceeds 0.995, indicating high model accuracy. The analysis reveals that the CRD fractions for the Upper Pleistocene (qp3), Middle Pleistocene (qp2-3), Lower Pleistocene (qp1), and Middle Pliocene (n22) aquifers are 0.085%, 0.104%, 0.130%, and 0.180%, respectively, totaling approximately 0.5% of the annual rainfall. This corresponds to an annual GW recharge of 25.86 million m3, or 70,850 m3/day, equivalent to 70% of the current GW abstraction rate of 101,000 m3/day. Given the critical role of GW as a freshwater source, implementing an enhanced GW recharge program using surface water and rainwater is strongly recommended. Additionally, the analysis suggests that the decline in GW levels due to abstraction corresponds to 0.85 times the mean annual precipitation, a finding that warrants further investigation.

References

【1】
【1】
 
 
Journal of Groundwater Science and Engineering
Pages 180-192

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Long TV, Thao NB, Bang DD, et al. Application of the cumulative rainfall departure method in determination of deep groundwater recharge in Soc Trang Province, Vietnam. Journal of Groundwater Science and Engineering, 2025, 13(2): 180-192. https://doi.org/10.26599/JGSE.2025.9280048

1104

Views

108

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 19 August 2024
Accepted: 25 March 2025
Published: 10 May 2025
2305-7068/© 2025 Journal of Groundwater Science and Engineering Editorial Office

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)