Open Access
| Issue |
E3S Web Conf.
Volume 604, 2025
The 4th International Conference on Disaster Management (The 4th ICDM 2024)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| Section | Risk-Based Disaster Analysis for Regional Development and Spatial Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202560401003 | |
| Published online | 16 January 2025 | |
- Giri, D. N. and Bharadwaj, P., Study and Mapping of Ground Water Prospect using Remote Sensing, GIS and Geoelectrical resistivity techniques – a case study of Dhanbad district, Jharkhand, India. Journal: Indian Geophics Union, 16(2), 55–63 (2012). [Google Scholar]
- Oh, H. J., Kim, Y. S., Choi, J. K., Park, E., and Lee, S., GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology, 399(3–4), 158–172 (2011). [CrossRef] [Google Scholar]
- Rahmati, O., Nazari Samani, A., Mahdavi, M., Pourghasemi, H. R., and Zeinivand, H., Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Journal of Geosciences, 8(9), 7059–7071 (2015). [CrossRef] [Google Scholar]
- Waikar, M. L., and Nilawar, A. P., Identification of Groundwater Potential Zone using Remote Sensing and GIS Technique. International Journal of Innovative Research in Science, Engineering and Technology, 3(5), 12163–12174 (2015). [Google Scholar]
- Han, L., Liu, Z., Ning, Y., and Zhao, Z., Extraction and analysis of geological lineaments combining a DEM and remote sensing images from the northern Baoji loess area. Advances in Space Research, 62(9), 2480–2493 (2015). [Google Scholar]
- Basavaraj, D. B., Hiremath, C. G., Davithuraj, J., and Purandara, B. K., Identification of groundwater potential zones using ArcGIS 10.1. International Journal of Civil, Mechanical and Energy Science, 2394-2827 (2016). [Google Scholar]
- D. C. Jhariya, Rubia Khan, K. C. Mondal, Tarun Kumar, Indhulekha K. and Vikal K. Singh, Assessment of groundwater potential zone using GIS- based multiinfluencing factor (MIF), multi-criteria decision analysis (MCDA) and electrical resistivity survey techniques in Raipur city, Chhattisgarh, India. AQUA — Water Infrastructure, Ecosystems and Society (2021). [Google Scholar]
- Huajie Duan, Zhengdong Deng, Feifan Deng, and DaqingWang, Assessment of Groundwater Potential Based on Multi criteria Decision Making Model and Decision Tree Algorithms. Mathematical (2016). [Google Scholar]
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