Assessment of Groundwater Quality Using Multivariate Statistical Techniques
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04028-3_36
Reference39 articles.
1. Mallick, J., Singh, C.K., AlMesfer, M.K., Singh, V.P., Alsubih, M.: Groundwater quality studies in the Kingdom of Saudi Arabia: prevalent research and management dimensions. Water 13, 1266 (2021). https://doi.org/10.3390/w13091266
2. Zhang, Q., Wang, L., Wang, H., Zhu, X., Wang, L.: Spatio-temporal variation of groundwater quality and source apportionment using multivariate statistical techniques for the Hutuo River Alluvial-Pluvial Fan, China. Int. J. Environ. Res. Public Health 17, 1055 (2020). https://doi.org/10.3390/ijerph17031055
3. Li, P., Karunanidhi, D., Subramani, T., Srinivasamoorthy, K.: Sources and consequences of groundwater contamination. Arch. Environ. Contam. Toxicol. 80, 1–10 (2021). https://doi.org/10.1007/s00244-020-00805-z
4. Suleiman, A.A., Ibrahim, A., Abdullahi, U.A.: Explanatory assessment of groundwater quality in Gwale LGA, Kano state, northwest Nigeria. Hydrospatial Analysis 4(1), 1–13 (2020). https://doi.org/10.21523/gcj3.2020040101
5. Basheer, A.E., Tao, H., Ekhlas, H.A., Jianfei, Z., Khalid, M., Waleed, A., Mohammed, M.B.: Geospatial distributions of groundwater quality in Gedaref state using geographic information system (GIS) and drinking water quality index (DWQI). Int. J. Environ. Res. Public Health 16(731) (2019). https://doi.org/10.3390/ijerph16050731
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