Assessment of Soil Heavy Metal Contamination Using Proximal Spectroscopy and Hyperspectral Remote Sensing: A Brief Review and Potential Application in Vietnam

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Year : 2025 | Volume : 16 | Issue : 02 | Page : 48-57
    By

    Trung H. Nguyen,

  • Huu Chien Hoang,

  • Quang Thi Nguyen,

  • Duy Hai Nguyen,

  • Minh Ngoc Duong,

  • Ngoc Anh Nguyen,

  • Van Trung Chu,

  • Hoa T. Vu,

  1. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry,, Thai Nguyen, Vietnam
  2. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry,, Thai Nguyen, Vietnam
  3. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry,, Thai Nguyen, Vietnam
  4. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and ForestryFaculty of Environment, Thai Nguyen University of Agriculture and Forestry Faculty of Environment, Thai Nguyen University of Agriculture and Forestry,, Thai Nguyen, Vietnam
  5. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry Faculty of Environment, Thai Nguyen University of Agriculture and Forestry Faculty of Environment, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam
  6. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam
  7. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam, Thai Nguyen, Vietnam
  8. Faculty, Laboratory of Sustainable Technology and Solution (STAS.Lab), Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam, Thai Nguyen, Vietnam

Abstract

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Soil contamination by heavy metals is a pressing global environmental concern, impacting ecosystem health, agricultural productivity, and human well-being. In Vietnam, rapid economic growth and industrialisation exacerbate these concerns, with diverse landscapes and intensive land use practices increasing susceptibility to heavy metal pollution. This study provides an overview of the assessment of soil heavy metal contamination, focusing on proximal spectroscopy and hyperspectral remote sensing techniques and their potential application in Vietnam. Highlighting the significant threats posed by soil heavy metal contamination to agriculture and human health in Vietnam, the study emphasises the importance of implementing cost-effective monitoring methods at provincial and regional scales. Proximal spectroscopy techniques offer efficient and cost-effective means for assessing soil heavy metal contamination, as demonstrated by numerous studies worldwide. However, their adoption in Vietnam remains limited due to challenges such as equipment accessibility, affordability, and the absence of tailored methodologies. On the other hand, hyperspectral remote sensing emerges as a powerful tool for monitoring soil heavy metal contamination on a large scale, leveraging detailed spectral information provided by sensors such as Hyperion, PRISMA, and EnMAP. Despite its widespread global use, its application in Vietnam is primarily confined to land use and land cover studies, indicating the need for further research to unlock its potential in addressing soil contamination challenges specific to the Vietnamese context. This review provides valuable insights for researchers, environmental practitioners, and policymakers in Vietnam and beyond. Through effective monitoring and assessment strategies, informed decisions can be made to mitigate the adverse effects of heavy metal contamination.

Keywords: Soil contamination, heavy metal contamination, proximal spectroscopy, hyperspectral, Vietnam

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Trung H. Nguyen, Huu Chien Hoang, Quang Thi Nguyen, Duy Hai Nguyen, Minh Ngoc Duong, Ngoc Anh Nguyen, Van Trung Chu, Hoa T. Vu. Assessment of Soil Heavy Metal Contamination Using Proximal Spectroscopy and Hyperspectral Remote Sensing: A Brief Review and Potential Application in Vietnam. Journal of Remote Sensing & GIS. 2025; 16(02):48-57.
How to cite this URL:
Trung H. Nguyen, Huu Chien Hoang, Quang Thi Nguyen, Duy Hai Nguyen, Minh Ngoc Duong, Ngoc Anh Nguyen, Van Trung Chu, Hoa T. Vu. Assessment of Soil Heavy Metal Contamination Using Proximal Spectroscopy and Hyperspectral Remote Sensing: A Brief Review and Potential Application in Vietnam. Journal of Remote Sensing & GIS. 2025; 16(02):48-57. Available from: https://journals.stmjournals.com/jorsg/article=2025/view=0


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References

1. Su C. A review on heavy metal contamination in the soil worldwide: Situation, impact and remediation techniques. Environmental Skeptics and Critics. 2014 Jun 1;3(2):24.
2. Ali MM, Hossain D, Khan MS, Begum M, Osman MH. Environmental pollution with heavy metals:A public health concern. InHeavy metals-their environmental impacts and mitigation 2021 Jun 24. IntechOpen.
3. Li C, Zhou K, Qin W, Tian C, Qi M, Yan X, Han W. A review on heavy metals contamination in soil: effects, sources, and remediation techniques. Soil and Sediment Contamination: An International Journal. 2019 May 19;28(4):380-94.
4. Tiller KG. Heavy metals in soils and their environmental significance. Advances in Soil Science:Volume 9. 1989:113-42.
5. Bui TK, Dang DK, Nguyen TK, Nguyen NM, Nguyen QT, Nguyen HC. Phytoremediation of heavy metal polluted soil and water in Vietnam. Journal of Vietnamese Environment. 2014 Nov 5;6(1):47-51.

6. Tran TS, Dinh VC, Nguyen TA, Kim KW. Soil contamination and health risk assessment from heavy metals exposure near mining area in Bac Kan province, Vietnam. Environmental geochemistry and health. 2022 Apr;44(4):1189-202.
7. Mai H, Maeghtb JL, Bui VH, Valentin C. Assessment of heavy metal concentrations and its potential eco-toxic effects in soils and sediments in Dong Cao catchment, Northern Vietnam. Vietnam Journal of Earth Sciences. 2020 May;42(2):187-204.
8. HUONG NT, OHTSUBO M, LI L, HIGASHI T, Kanayama M, Nakano A. Heavy metal contamination of soil and rice in wastewater-irrigated paddy field in a suburban area of Hanoi, Vietnam. Clay science. 2008;13(6):205-15.
9. Nguyen TH, Hoang HN, Bien NQ, Tuyen LH, Kim KW. Contamination of heavy metals in paddy soil in the vicinity of Nui Phao multi-metal mine, North Vietnam. Environmental Geochemistry and Health. 2020 Dec;42:4141-58.
10. Phuong NM, Kang Y, Sakurai K, Iwasaki K, Kien CN, Van Noi N, Son LT. Levels and chemical forms of heavy metals in soils from Red River Delta, Vietnam. Water, air, and soil pollution. 2010 Mar;207:319-32.
11. Shi T, Guo L, Chen Y, Wang W, Shi Z, Li Q, Wu G. Proximal and remote sensing techniques for mapping of soil contamination with heavy metals. Applied Spectroscopy Reviews. 2018 Nov 26;53(10):783-805.
12. H. Yu, B. Kong, Q. Wang, X. Liu, and X. Liu, “Hyperspectral remote sensing applications in soil: a review,” in Hyperspectral Remote Sensing, 2020, pp. 269-291.
13. N. Parkhomenko, A. Garagul, and M. Shayakhmetov, “The use of remote sensing methods to study the ecological state of agricultural soils,” in International Scientific Conference The Fifth Technological Order: Prospects for the Development and Modernization of the Russian Agro-Industrial Sector (TFTS 2019), 2020: Atlantis Press, pp. 269-273.

14. V. Adamchuk, F. Reumont, J. Kaur, J. Whalen, and N. Adamchuk-Chala, “Proximal sensing of soil biological activity for precision agriculture,” (in en), Advances in Animal Biosciences, vol. 8, no. 2, pp. 406-411, 2017. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S204047001700139X.
15. Y. Wang, X. Zhang, W. Sun, J. Wang, S. Ding, and S. Liu, “Effects of hyperspectral data with different spectral resolutions on the estimation of soil heavy metal content: From ground-based and airborne data to satellite-simulated data,” Sci Total Environ, vol. 838, no. Pt 2, p. 156129, Sep 10 2022, doi: 10.1016/j.scitotenv.2022.156129.
16. (2009). Soil quality – Classification of soil polluted by chemicals.
17. (2015). National technical regulation on the allowable limits of heavy metals in the soils.
18. M. Verma, “Ecotoxicology of heavy metals: sources, effects and toxicity,” Bioremediation and Biotechnology, Vol 2: Degradation of Pesticides and Heavy Metals, pp. 13-23, 2020.
19. Z. L. He, X. E. Yang, and P. J. Stoffella, “Trace elements in agroecosystems and impacts on the environment,” Journal of Trace elements in Medicine and Biology, vol. 19, no. 2-3, pp. 125-140,2005.
20. X. Xin, J. Shentu, T. Zhang, X. Yang, V. C. Baligar, and Z. He, “Sources, Indicators, and Assessment of Soil Contamination by Potentially Toxic Metals,” Sustainability, vol. 14, no. 23, p.15878, 2022. [Online]. Available: https://www.mdpi.com/2071-1050/14/23/15878.
21. B. Hu, X. Jia, J. Hu, D. Xu, F. Xia, and Y. Li, “Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China,” (in en), International Journal of Environmental Research and Public Health, vol. 14, no. 9, p. 1042, 2017. [Online].Available: http://www.mdpi.com/1660-4601/14/9/1042.
22. M. J. McLaughlin, R. E. Hamon, R. G. McLaren, T. W. Speir, and S. L. Rogers, “Review: A bioavailability-based rationale for controlling metal and metalloid contamination of agricultural land in Australia and New Zealand,” (in en), Soil Research, vol. 38, no. 6, p. 1037, 2000. [Online]. Available: http://www.publish.csiro.au/?paper=SR99128.
23. N. V. Thanh, “Nghiên cứu hàm lượng một số kim loại nặng (Cu, Pb, Zn) trong đất nông nghiệp do ảnh hưởng của nước tưới sông Nhuệ,” Master, Faculty of Environment, University of Science,Vietnam National University Hanoi, Vietnam National University Hanoi, 2012. [Online].
Available: https://repository.vnu.edu.vn/bitstream/VNU_123/9551/1/01050000872.pdf

24. P. Hung and T. Thom, “Assessment of soil properties and contamination soil in Nhue river basin in Duy Tien district, Ha Nam province,” Vietnam Journal of Agricultural Sciences, vol. 14, pp. 1741- 52, 2016.
25. C. N. Kien et al., “Heavy metal contamination of agricultural soils around a chromite mine in Vietnam,” (in en), Soil Science and Plant Nutrition, vol. 56, no. 2, pp. 344-356, 2010. [Online]. Available: http://www.tandfonline.com/doi/abs/10.1111/j.1747-0765.2010.00451.x.
26. N. T. T. Hien et al., “Distribution of Heavy Metals in the Topsoil of Agricultural Land in Nam Dinh Province, Vietnam,” Applied Ecology and Environmental Research, vol. 18, no. 5, pp. 6793-6811, 2020, doi: 10.15666/aeer/1805_67936811.
27. C. T. T. Ha, “Survey on heavy metals contaminated soils in Thai Nguyen and Hung Yen province in Northern Vietnam,” Journal of Vietnamese Environment, vol. 1, no. 1, pp. 34-39, 2011. [Online].Available: https://journals.qucosa.de/jve/article/view/14.
28. N. V. Thinh, A. Ozaki, Y. Xie, N. D. Anh, and K. Kurosawa, “Contamination of agricultural soils by Toxic trace metals in an industrial district in Vietnam,” Journal of Industrial Pollution Control, vol. 33, no. 1, pp. 723-729, 2017.
29. T. T. Thao, C. X. Anh, and D. Q. Trung, “Heavy metal contamination in soil and sediment from electronic rubbishes and plastic treatment places,” Vietnam Journal of Chemistry, vol. 47, no. 1, p.41, 08/23 2014, doi: 10.15625/4538.
30. H. N. Ha, “Heavy metals pollution of the soil environment by landfill sites: A case of Kieu Ky landfill-Gia Lam-Hanoi,” VNU Journal of Science: Earth and Environmental Sciences, vol. 34, no.2, 2018.
31. A. G. Caporale, P. Adamo, F. Capozzi, G. Langella, F. Terribile, and S. Vingiani, “Monitoring metal pollution in soils using portable-XRF and conventional laboratory-based techniques: Evaluation of the performance and limitations according to metal properties and sources,” Science of The Total Environment, vol. 643, pp. 516-526, 2018/12/01/ 2018, doi: https://doi.org/10.1016/j.scitotenv.2018.06.178.
32. A. Gholizadeh et al., “vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil,” (in en), Sensors, vol. 21, no. 7, p. 2386, 2021. [Online]. Available:https://www.mdpi.com/1424-8220/21/7/2386.
33. T. Shi, Y. Chen, Y. Liu, and G. Wu, “Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals,” (in en), Journal of Hazardous
Materials, vol. 265, pp. 166-176, 2014. [Online]. Available: https://linkinghub.elsevier.com/ retrieve/pii/S030438941300914X.
34. L. E. Pozza, T. F. A. Bishop, U. Stockmann, and G. F. Birch, “Integration of vis-NIR and pXRF spectroscopy for rapid measurement of soil lead concentrations,” (in en), Soil Research, vol. 58, no.
3, p. 247, 2020. [Online]. Available: http://www.publish.csiro.au/?paper=SR19174.
35. H.-Y. Ren, D.-F. Zhuang, A. N. Singh, J.-J. Pan, D.-S. Qiu, and R.-H. Shi, “Estimation of As and Cu Contamination in Agricultural Soils Around a Mining Area by Reflectance Spectroscopy: A Case Study,” (in en), Pedosphere, vol. 19, no. 6, pp. 719-726, 2009. [Online]. Available:https://linkinghub.elsevier.com/retrieve/pii/S1002016009601673.
36. C. M. Pandit, G. M. Filippelli, and L. Li, “Estimation of heavy-metal contamination in soil using reflectance spectroscopy and partial least-squares regression,” (in en), International Journal of Remote Sensing, vol. 31, no. 15, pp. 4111-4123, 2010. [Online]. Available:https://www.tandfonline.com/doi/full/10.1080/01431160903229200.
37. D. F. Malley and P. C. Williams, “Use of Near-Infrared Reflectance Spectroscopy in Prediction of Heavy Metals in Freshwater Sediment by Their Association with Organic Matter,” (in en), Environmental Science & Technology, vol. 31, no. 12, pp. 3461-3467, 1997. [Online]. Available:https://pubs.acs.org/doi/10.1021/es970214p.
38. A. Gholizadeh, L. Borůvka, M. M. Saberioon, J. Kozák, R. Vašát, and K. Němeček, “Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features,” Soil and Water Research, vol. 10, no. 4, pp. 218-227, 2015. [Online]. Available:http://swr.agriculturejournals.cz/doi/10.17221/113/2015-SWR.html.

39. A. Gholizadeh et al., “Estimation of Potentially Toxic Elements Contamination in Anthropogenic Soils on a Brown Coal Mining Dumpsite by Reflectance Spectroscopy: A Case Study,” (in en),PLOS ONE, vol. 10, no. 2, p. e0117457, 2015. [Online]. Available: https://dx.plos.org/10.1371/journal.pone.0117457.
40. Z. Liu, Y. Lu, Y. Peng, L. Zhao, G. Wang, and Y. Hu, “Estimation of Soil Heavy Metal Content Using Hyperspectral Data,” (in en), Remote Sensing, vol. 11, no. 12, p. 1464, 2019. [Online].Available: https://www.mdpi.com/2072-4292/11/12/1464.
41. Y. Xue, B. Zou, Y. Wen, Y. Tu, and L. Xiong, “Hyperspectral Inversion of Chromium Content in Soil Using Support Vector Machine Combined with Lab and Field Spectra,” (in en), Sustainability,vol. 12, no. 11, p. 4441, 2020. [Online]. Available: https://www.mdpi.com/2071-1050/12/11/4441.
42. G. Galanis et al., “Determination of heavy metals in soils using diffuse reflectance spectroscopy: a case study in Northern Greece,” presented at the Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023.
43. S. Lamine et al., “Heavy Metal Soil Contamination Detection Using Combined Geochemistry and Field Spectroradiometry in the United Kingdom,” (in en), Sensors, vol. 19, no. 4, p. 762, 2019.[Online]. Available: http://www.mdpi.com/1424-8220/19/4/762.
44. L. M. Ly, N. T. Hùng, V. Van Anh, P. M. Chinh, T. K. Phong, and T. H. Phi, “Applying the rapid measurement method for heavy metals in road dust in Vietnam using portable Xrf device,” Vietnam journal of Science and Technology, vol. 57, no. 7, 07/25 2015. [Online]. Available:https://b.vjst.vn/index.php/ban_b/article/view/732.
45. F. A. Kruse, J. W. Boardman, and J. F. Huntington, “Comparison of airborne hyperspectral data and eo-1 hyperion for mineral mapping,” (in en), IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 6, pp. 1388-1400, 2003. [Online]. Available: http://ieeexplore.ieee.org/document/1220247/.
46. V. L. Mulder, S. De Bruin, M. E. Schaepman, and T. R. Mayr, “The use of remote sensing in soil and terrain mapping — A review,” (in en), Geoderma, vol. 162, no. 1-2, pp. 1-19, 2011. [Online].Available:https://linkinghub.elsevier.com/retrieve/pii/S0016706110003976.
47. O. Odebiri, J. Odindi, and O. Mutanga, “Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review,” International Journal of Applied Earth Observation and Geoinformation, vol. 102, p. 102389, 2021.
48. J. Wang et al., “Remote sensing of soil degradation: Progress and perspective,” International Soil and Water Conservation Research, 2023.
49. F. Wang, J. Gao, and Y. Zha, “Hyperspectral sensing of heavy metals in soil and vegetation:Feasibility and challenges,” (in en), ISPRS Journal of Photogrammetry and Remote Sensing, vol.136, pp. 73-84, 2018. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0924271617303702.
50. V. Khosravi, F. D. Ardejani, A. Gholizadeh, and M. Saberioon, “Satellite Imagery for Monitoring and Mapping Soil Chromium Pollution in a Mine Waste Dump,” Remote Sensing, vol. 13, no. 7,2021, doi: 10.3390/rs13071277.
51. A. Riaza, J. Buzzi, E. García-Meléndez, B. Del Moral, V. Carrère, and R. Richter, “Monitoring salt crusts on an AMD contaminated coastal wetland using hyperspectral Hyperion data (Estuary of theRiver Odiel, SW Spain),” (in en), International Journal of Remote Sensing, vol. 38, no. 12, pp.3735-3762, 2017. [Online]. Available: https://www.tandfonline.com/doi/full/10.1080/01431161.2017.1302621.
52. M. A. Popov, S. A. Stankevich, L. P. Lischenko, V. V. Lukin, and N. N. Ponomarenko, “Processing of Hyperspectral Imagery for Contamination Detection in Urban Areas,” in Environmental Security and Ecoterrorism, H. Alpas, S. M. Berkowicz, and I. Ermakova Eds. Dordrecht: Springer Netherlands, 2011, pp. 147-156.
53. P. Liu et al., “Integrating a Hybrid Back Propagation Neural Network and Particle Swarm
Optimization for Estimating Soil Heavy Metal Contents Using Hyperspectral Data,” (in en),Sustainability, vol. 11, no. 2, p. 419, 2019. [Online]. Available: http://www.mdpi.com/2071-1050/11/2/419.

54. B. Zhang, B. Guo, B. Zou, W. Wei, Y. Lei, and T. Li, “Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China,” Environmental Pollution, vol. 300, p. 118981, 2022/05/01/ 2022, doi: https://doi.org/10.1016/j.envpol.2022.118981.
55. H. Guo, K. Yang, F. Wu, Y. Chen, and J. Shen, “Regional Inversion of Soil Heavy Metal Cr Content in Agricultural Land Using Zhuhai-1 Hyperspectral Images,” Sensors, vol. 23, no. 21, 2023, doi: 10.3390/s23218756.
56. L. Candela, R. Formaro, R. Guarini, R. Loizzo, F. Longo, and G. Varacalli, “The PRISMA mission,” presented at the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016. [Online]. Available: http://ieeexplore.ieee.org/document/7729057/.
57. E. Bedini and J. Chen, “Application of PRISMA satellite hyperspectral imagery to mineral alteration mapping at Cuprite, Nevada, USA,” Journal of Hyperspectral Remote Sensing, vol. 10, no. 2, pp. 87-94, 2020. [Online]. Available: https://periodicos.ufpe.br/revistas/index.php/ jhrs/article/view/246156.
58. R. Casa, S. Pignatti, S. Pascucci, V. Ionca, N. Mzid, and I. Veretelnikova, “Assessment of PRISMA imaging spectrometer data for the estimation of topsoil properties of agronomic interest at the field scale,” display, 2020. [Online]. Available: https://meetingorganizer.copernicus.org/ EGU2020/EGU2020-6728.html
59. Z. A. Kovács et al., “Testing PRISMA hyperspectral satellite imagery in predicting soil carbon content based on synthetized LUCAS spectral data,” pico, 2021. [Online]. Available:https://meetingorganizer.copernicus.org/EGU21/EGU21-15450.html
60. M. Pepe, L. Pompilio, L. Ranghetti, F. Nutini, and M. Boschetti, “Mapping spatial distribution of crop residues using PRISMA satellite imaging spectroscopy,” European Journal of Remote Sensing, vol. 56, no. 1, p. 2122872, 2023.
61. T. Storch et al., “The EnMAP imaging spectroscopy mission towards operations,” Remote Sensing of Environment, vol. 294, p. 113632, 2023.
62. C. Mielke, N. Boesche, C. Rogass, H. Kaufmann, C. Gauert, and M. De Wit, “Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2,” (in en), Remote Sensing, vol. 6, no. 8, pp. 6790-6816, 2014.[Online]. Available: http://www.mdpi.com/2072-4292/6/8/6790.
63. D. Rogge, B. Rivard, K. Segl, B. Grant, and J. Feng, “Mapping of NiCu–PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery, Nunavik, Canada,” (in en),Remote Sensing of Environment, vol. 152, pp. 302-317, 2014. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0034425714002442.
64. F. Castaldi, S. Chabrillat, and B. Van Wesemael, “Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data,” (in en), Remote Sensing, vol. 11, no. 3, p. 309, 2019. [Online]. Available: http://www.mdpi.com/2072-4292/11/3/309.
65. V. N. Nguyen and T. Van Le, “Evaluating salinity intrusion in estuaries using remote sensing data integrated in-situ observation,” Science & Technology Development Journal: Science of the Earth & Environment, vol. 2, no. 2, pp. 50–56, 2018.

Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 15/05/2025
Accepted 21/05/2025
Published 21/06/2025
Publication Time 37 Days
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