The Assessment of Groundwater Vulnerability towards Contamination using the DRASTIC and NV Indexes in Banjarbaru City, South Borneo, Indonesia
Firza Syarifa Zahra(1), Thomas Triadi Putranto(2*)
(1) Graduate School of Environmental Science, Diponegoro University, Semarang, Indonesia
(2) Geological Engineering Department, Diponegoro University, Semarang, Indonesia
(*) Corresponding Author
Abstract
The current excessive use of groundwater is exacerbated by human activities, which directly or indirectly trigger surface pollution and gradually affect to the subsurface, including groundwater. Indonesia is one of the developing countries that encounter these obstacles, specifically Banjarbaru City in South Kalimantan Province and its surroundings. Hence, proper management is needed to maintain the sustainable function of groundwater, such as by determining its vulnerability index to pollution. This study used geospatial analysis to determine the intrinsic and extrinsic vulnerability of groundwater via the DRASTIC and NV index methods, respectively, through visual representations on a map. The validation involved the distribution of nitrate and nitrite values to review the relationship between vulnerability levels and the presence of anthropogenic influences. Subsequently, the results of the DRASTIC method showed that the study area is included in three vulnerability indexes, namely low (95-120), medium (120-160), and high (160-186). The NV method further indicated that the groundwater vulnerability indices are divided into four, namely very low (21.2-70), low (70-110), moderate (110-150), and high (150-186). Based on the results, the use of specific vulnerabilities was considered more effective than the intrinsic technique in determining the vulnerability index because the NV method considers land use as a parameter to provide more detailed outcomes.
Keywords
Full Text:
PDFReferences
Abdullahi, U. (2009). Evaluation of Models for Assessing Groundwater Vulnerability to Pollution in Nigeria. Bayero Journal of Pure and Applied Sciences, 2, 138-142.
Adimalla, N. (2019). Spatial Distribution, Exposure, and Potential Health Risk Assessment from Nitrate in Drinking Water from Semi-Arid Region of South India. Hum. Ecol. Risk Assess Int. J, 26, 1–25.
Alexander, A., Ndambuki, J., Salim, R., & Manda, A. (2017). Assessment of Spatial Variation of Groundwater Quality in a Mining Basin . Sustainability, 9, 823.
Aller, L., Bennet, T., Lehr, J., & Petty, R. (1987). DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeological Settings. New York: US EPA.
Arauzo, M., Martínez-Bastida., Juan, J., & Valladolid, M. (2008). Nitrogen Pollution of the “River-Aquifer System” in the Jarama Basin (Comunidad de Madrid, Spain): Is it from agricultural or urban sources. Limnetica, 27, 195–210.
Baghapour, M., Nobandegani, A., Talebbeydokhti, N., Bagherzadeh, S., Nadiri, A., Gharekhani, M., & Chitsazan, N. (2016). Optimization of DRASTIC Method by Artificial Neural etwork, Nitrate Vulnerability Index, and Composite Drastic Models to Assess Groundwater Vulnerability of Unconfined Aquifer of Shiraz Plain, Iran. Journal of Environmental Health Science and Engineering, 14, 13.
Barbulescu, A. (2020). Assessing Groundwater Vulnerability: DRASTIC and DRASTIC-Like Methods: A Review. Water, 12(1356), pp. 1-22.
Civita, M., & De Regibus, C. (1995). Testing Methodologies for Assessing Aquifer Vulnerability. Quad Geol Appl Pitagora Ed Bologna , 3, 63–71.
Corniello, A., Ducci, D., & Napolitano, P. (1997). Comparison Between Parametric Methods to Evaluate Aquifer Pollution Vulnerability Using GIS: An Example in the "Piana Campana", Southern Italy. In: Marinos PG, Koukis GC, Tsiambaos GC, Stournaras GC (eds). . Engineering Geology and The Environmen, 1, 1721–1726.
Dassargues, A., & Gogu, R. (2000). Current Trends and Future Challenges in Groundwater Vulnerability Assessment Using Overlay and Index Methods. Environmental Geology, 39, 549-559.
Davraz, A. (2015). Evaluation of the Groundwater Quality with Wqi (Water Quality Index) and Multivariate Analysis: A Case Study of the Tefenni Plain (Burdur/ Turkey). Environ Earth Sci, 73, 1725–1744.
Djémin, J. K. (2016). Contribution of the Sensitivity Analysis in Groundwater Vulnerability Assessing Using the DRASTIC Method: Application to Groundwater in Dabou Region (Southern of Côte d'Ivoire). Journal of Environmental Protection, 7, 129-143.
Effendi, H. (2003). Assessing Water Quality for Management of Water Resources and the Environment, 1st ed. Yogyakarta: Kanisius.
Ganefati, S., Istiqomah, S., & Purwanto. (2005). Management of Drinking Water Wells for Household Aeration, Filtration and Disinfection. Jurnal Tekling, 6, 262-267.
Ghazavi, R., & Ebrahimi, Z. (2015). Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models. Int. J. Environ. Sci. Technol., 1-15.
Gorelick, S., & Zheng, C. (2015). Global Change and the Groundwater Management Challenge. Water Resour. Res., 51, 3031–3051.
Grappein, B., Lasagna, M., Capodaglio, P., Caselle, C., & Luca, D. (2021). Hydrochemical and Isotopic Applications in the Western Aosta Valley (Italy) for Sustainable Groundwater Management. Sustainability, 13, 487.
Gu, B., Ge, Y., Chang, S., Luo, W., & Chang, J. (2013). Nitrate in Groundwater of China: Sources and Driving Forces. Glob. Environ. Chang, 23, 1112–1121.
Gupta, N. (2014). Groundwater Vulnerability Assessment using DRASTIC Method in Jabalpur District of Madhya Pradesh. International Journal of Recent Technology and Engineering (IJRTE), 3(3), 36-43.
DOI: https://doi.org/10.22146/ijg.66716
Article Metrics
Abstract views : 2274 | views : 1467Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Thomas Triadi Putranto
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)
ISSN 2354-9114 (online), ISSN 0024-9521 (print)
IJG STATISTIC