Науковий вісник НГУ

Assessment of groundwater quality in the Dak Nong area, Lam Dong province (Vietnam)

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №2 2026

Last Updated on 25 April 2026

Published on 30 November -0001

Hits: 1437

Authors:

Thuy Thanh Thi Tran*, orcid.org/0009-0000-0682-5933, Hanoi University of Mining and Geology, Faculty of Environment, Hanoi, Socialist Republic Vietnam, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (2): 095 - 102

https://doi.org/10.33271/nvngu/2026-2/095

Abstract:

Purpose. This study aims to assess the current status of groundwater exploitation, identify primary pollution sources, and analyze temporal changes in groundwater quality in Dak Nong Province, thereby providing a scientific basis for the sustainable management and protection of this essential resource.

Methodology. The research combines field surveys, groundwater sampling, and laboratory analysis of key physicochemical and microbiological parameters from 2019 to 2023. Data were processed using descriptive statistics, hydrochemical diagrams, multivariate statistical analysis, and GIS integration to evaluate spatial and temporal variations in groundwater quality.

Findings. The results show that overall groundwater quality in Dak Nong is generally good and within national and WHO standards. However, specific parameters (Fe, Mn, NH₄⁺, NO₃^-, Coliform, and E. coli) exceeded thresholds in several locations, especially near landfills and cemeteries. Seasonal fluctuations and increasing concentrations of NO₃^- and NH₄⁺ were observed in some areas, while microbiological pollution was widespread in shallow aquifers. Landfills and cemeteries were identified as the primary sources of pollution.

Originality. Unlike previous studies that mainly used indirect or model-based approaches, this research provides a comprehensive, up-to-date evaluation based on direct field measurements, supported by multivariate and GIS-based analyses. This allows for accurate identification of both pollution sources and groundwater quality trends across aquifers.

Practical value. The findings contribute scientific evidence to support groundwater management and planning in Dak Nong province. The study provides input for risk mapping, prioritization of “hotspot” areas, and policy recommendations, helping local authorities design effective strategies to reduce contamination, manage aquifer exploitation, and ensure water security under the pressures of climate change and socio-economic development.

Keywords: Dak Nong, groundwater quality, exploitation status, groundwater

References.

1. Dharminder, R. K. S., Kumar, V., Devedee, A. K., Mruthyu­njaya, M., & Bhardwaj, R. (2019). The clean water: The basic need of human and agriculture. Ijcs, 7(2), 1994-1998. https://doi.org/10.1027/IJCS.2022218235

2. Katsanou, K., & Karapanagioti, H. K. (2017). Surface water and groundwater sources for drinking water. Applications of advanced oxidation processes in drinking water treatment, 1-19. https://doi.org/10.1007/698_2017_140

3. Amralinova, B., Agaliyeva, B., Lozynskyi, V., Frolova, O., Rysbekov, K., Mataibaeva, I., & Mizernaya, M. (2023). Rare-Metal Mineralization in Salt Lakes and the Linkage with Composition of Granites: Evidence from Burabay Rock Mass. Water, 15(7), 1386. https://doi.org/10.3390/w15071386

4. Van der Gun, J. (2021). Groundwater resources sustainability. Global groundwater, 331-345. https://doi.org/10.1016/B978-0-12-818172-0.00024-4

5. Aluwong, K. C., Hashim, M. H. M., Ismail, S., & Shehu, S. A. (2024). Physico-chemical assessment of surface water from mining activities in Maiganga coal mine, Gombe state, Nigeria. Mining of Mineral Deposits, 18(1), 9-17. https://doi.org/10.33271/mining18.01.009

6. Nguyen, H. D., Giang, V. T., Truong, Q. H., Șerban, G., & Petrisor, A. I. (2024). Groundwater potential assessment in Gia Lai Province (Vietnam) using machine learning, remote sensing and GIS. Geographia Technica, 13-32. https://doi.org/10.21163/GT_2024.192.02

7. Hassan Rashid, M. A. U., Manzoor, M. M., & Mukhtar, S. (2018). Urbanization and its effects on water resources: An exploratory analysis. Asian Journal of Water, Environment and Pollution, 15(1), 67-74. https://doi.org/10.3233/AJW-180007

8. Akhtar, N., Syakir Ishak, M. I., Bhawani, S. A., & Umar, K. (2021). Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review. Water, 13(19), 2660. https://doi.org/10.3390/w13192660

9. Han, D., Currell, M. J., Cao, G., & Hall, B. (2017). Alterations to groundwater recharge due to anthropogenic landscape change. Journal of hydrology, 554, 545-557. https://doi.org/10.1016/j.jhydrol.2017.09.018

10.      Pham, Q. N., Nguyen, N. H., Ta, T. T., & Tran, T. L. (2023). Vietnam’s water resources: Current status, challenges, and security perspective. Sustainability, 15(8), 6441. https://doi.org/10.3390/su15086441

11.      Dahiya, S., Singh, B., Gaur, S., Garg, V. K., & Kushwaha, H. S. (2007). Analysis of groundwater quality using fuzzy synthetic evaluation. Journal of Hazardous Materials, 147(3), 938-946. https://doi.org/10.1016/j.jhazmat.2007.01.119

12.      Rajesh, R., Elango, L., & Brindha, K. (2019). Methods for assessing the groundwater quality. GIS and geostatistical techniques for groundwater science, 57-78. https://doi.org/10.1016/B978-0-12-815413-7.00006-7

13.      Ram, A., Tiwari, S. K., Pandey, H. K., Chaurasia, A. K., Singh, S., & Singh, Y. V. (2021). Groundwater quality assessment using water quality index (WQI) under GIS framework. Applied Water Science, 11(2), 46. https://doi.org/10.1007/s13201-021-01376-7

14.      Machiwal, D., Cloutier, V., Güler, C., & Kazakis, N. (2018). A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection. Environmental Earth Sciences, 77(19), 681. https://doi.org/10.1007/s12665-018-7872-x

15.      Birjandi, V., Tabatabaei, S.H., Mastouri, R., Mazaheri, H., & Mirabbasi, R. (2024). Multivariate spatial analysis of groundwater quality using copulas. Acta Geophysica, 72(2), 1113-1125. https://doi.org/10.1007/s11600-023-01073-w

16.      Boateng, T. K., Opoku, F., Acquaah, S. O., & Akoto, O. (2016). Groundwater quality assessment using statistical approach and water quality index in Ejisu-Juaben Municipality, Ghana. Environmental Earth Sciences, 75(6), 489. https://doi.org/10.1007/s12665-015-5105-0

17.      Pei-Yue, L., Hui, Q., & Jian-Hua, W. (2011). Application of Set Pair Analysis Method Based on Entropy Weight in Groundwater Quality Assessment-A Case Study in Dongsheng City, Northwest China. Journal of Chemistry, 8(2), 851-858. https://doi.org/10.1155/2011/879683

18.      Nelly, K. C., & Mutua, F. (2016). Ground water quality assessment using GIS and remote sensing: A case study of Juja location, Kenya. American Journal of Geographic Information System, 5(1), 12-23. https://doi.org/10.5923/j.ajgis.20160501.02

• < Prev
• Next >