The current study attempted to evaluate the water quality in terms of physico-chemical properties, metals, and bacteriological characteristics of the surface water available in Shigar Valley located along Shigar River in sub-district Shigar of district Skardu, Gilgit Baltistan (GB), Pakistan. A total of 17 water samples were collected during 2020 and analysed to perform multivariate analysis through principal component analysis (PCA) and cluster analysis (CA). Spatial distribution using inverse distance weight (IDW) interpolation was also utilised to determine the water quality in the valley to elucidate public health concerns. The study reveals that physico-chemical characteristics are the most important that affect water quality, followed by metals and bacteriological variables, according to a PCA application based on multivariate analysis. Examinations found that some of the metals including arsenic (As), copper (Cu), lead (Pb), iron (Fe), zinc (Zn), manganese (Mn), and molybdenum (Mo) and all bacteriological parameters enlisting total coliform count (TCC), total faecal coliform (TFC), and total faecal streptococci (TFS) are not following the WHO guidelines that could be hazardous from the public health viewpoint. The IDW-based spatial distribution indicates that water samples have an intermittent and unusual distribution of observed parameters. Having considerable community settlements, people in the valley have limited options and have no choice except to consume the available water as no alternate source is available. People hardly question the water quality and rarely examine the water potability. The study also demonstrated that combining PCA with IDW would be a powerful method for assessing water quality. It is suggested that the sources of contamination be investigated further in detail to reduce the pollution load of the surface water in the valley, which could aid in the development of sustainable ecotourism.
Nyakundi, V., Munala, G., Makworo, M., Shikuku, J., Ali, M., Song’oro, E., et al. (2020) Assessment of Drinking Water Quality in Umoja Innercore Estate, Nairobi. Journal of Water Resource and Protection, 12, 36-49. https://doi.org/10.4236/jwarp.2020.121002
Yasin, S.N.T.M., Yunus, M.F.M. and Wahab, N.B.A. (2020) The Development of Water Quality Monitoring System Using Internet of Things. Journal of Educational and Learning Studies, 3, 14-20. https://doi.org/10.32698/0852
PLi, P. and Wu, J. (2019) Drinking Water Quality and Public Health. Exposure and Health, 11, 73-79. https://doi.org/10.1007/s12403-019-00299-8
Sener, S., Sener, E. and Davraz, A. (2017) Evaluation of Water Quality Using Water Quality Index (WQI) Method and GIS in Aksu River (SW-Turkey). Science of the Total Environment, 584, 131-144. https://doi.org/10.1016/j.scitotenv.2017.01.102
Javed, T., Sarwar, T., Ullah, I., Ahmad, S. and Rashid, S. (2019) Evaluation of Groundwater Quality in District Karak Khyber Pakhtunkhwa, Pakistan. Water Science, 33, 1-9. https://doi.org/10.1080/11104929.2019.1626630
Bashir, N., Saeed, R., Afzaal, M., Ahmad, A., Muhammad, N., Iqbal, J., Khan, A., Maqbool, Y. and Hameed, S. (2020) Water Quality Assessment of Lower Jhelum Canal in Pakistan by Using Geographic Information System (GIS). Groundwater for Sustainable Development, 10, Article ID: 100357. https://doi.org/10.1016/j.gsd.2020.100357
Bhatti, N.B., Siyal, A.A., Qureshi, A.L., Solangi, G.S., Memon, N.A. and Bhatti, I.A. (2020) Impact of Small Dam’s Construction on Groundwater Quality and Level Using Water Quality Index (WQI) and GIS: Nagarparkar Area of Sindh, Pakistan. Human and Ecological Risk Assessment: An International Journal, 26, 2586-2607. https://doi.org/10.1080/10807039.2019.1674634
Ali, S., Hussain, A., Hussain, A., Ali, A. and Awan, M.S. (2013) Drinking Water Quality Assessment in Some Selected Villages of Nagar Valley Gilgit-Baltistan, Pakistan. Journal of Chemical, Biological and Physical Sciences, 3, 567-574.
Ahsan, W.A., Ahmad, H.R., Farooqi, Z.U.R., Sabir, M., Ayub, M.A., Rizwan, M. and Ilic, P. (2021) Surface Water Quality Assessment of Skardu Springs Using Water Quality Index. Environmental Science and Pollution Research, 28, 20537-20548. https://doi.org/10.1007/s11356-020-11818-5
Farhat, N., Hussain, S., Faisal, F., Batool, I. and Noreen, M. (2021) Physico-Chemical Characteristics and Therapeutic Potential of Chutrun Thermal Springs in Shigar Valley, Gilgit-Baltistan (Pakistan). Applied Water Science, 11, 1-8. https://doi.org/10.1007/s13201-020-01354-5
Fatima, S.U., Khan, M.A., Siddiqui, F., Mahmood, N., Salman, N., Alamgir, A. and Shaukat, S.S. (2022) Geospatial Assessment of Water Quality Using Principal Components Analysis (PCA) and Water Quality Index (WQI) in Basho Valley, Gilgit Baltistan (Northern Areas of Pakistan). Environmental Monitoring and Assessment, 194, 151. https://doi.org/10.1007/s10661-022-09845-5
Hussain, T., Sheikh, S., Kazami, J.H., Hussain, M., Hussain, A., Hassan, N.U., Hussain, Z. and Khan, H. (2014) Geo-Spatial Assessment of Tap Water and Air Quality in Gilgit City Using Geographical Information System. Journal of Biodiversity and Environmental Sciences, 5, 49-54.
Seong, Y.B., Owen, L.A., Bishop, M.P., Bush, A., Clendon, P., Copland, L., Finkel, R., Kamp, U. and Shroder Jr., J.F. (2007) Quaternary Glacial History of the Central Karakoram. Quaternary Science Reviews, 26, 3384-3405. https://doi.org/10.1016/j.quascirev.2007.09.015
Abbas, Z., Khan, S.M., Alam, J., Khan, S.W. and Abbasi, A.M. (2017) Medicinal Plants Used by Inhabitants of the Shigar Valley, Baltistan Region of Karakorum Range-Pakistan. Journal of Ethnobiology and Ethnomedicine, 13, 1-15. https://doi.org/10.1186/s13002-017-0172-9
APHA (2005) Standard Methods for the Examination of Water and Wastewater. 21st Edition, American Public Health Association, Washington DC.
Mallmann, W.L. and Seligmann, E.B.J. (1950) A Comparative Study of Media for the Detection of Streptococci in Water and Sewage. American Journal of Public Health and the Nations Health, 40, 286-289. https://doi.org/10.2105/AJPH.40.3.286
Mustapha, A., Aris, A.Z., Ramli, M.F. and Juahir, H. (2012) Temporal Aspects of Surface Water Quality Variation Using Robust Statistical Tools. The Scientific World Journal, 2012, Article ID: 294540. https://doi.org/10.1100/2012/294540
IBM Corp. (2013) IBM SPSS Statistics for Windows (Version 22). IBM Corp., Armonk. https://hadoop.apache.org
Abdi, H. and Williams, J.L. (2010) Computational Statistics: Principal Component Analysis. Wiley Interdisciplinary Reviews Computational Statistics, 2, 433-459. https://doi.org/10.1002/wics.101
Gorgoglione, A., Gioia, A. and Iacobellis, V. (2019) A Framework for Assessing Modeling Performance and Effects of Rainfall-Catchment-Drainage Characteristics on Nutrient Urban Runoff in Poorly Gauged Watersheds. Sustainability, 11, 4933. https://doi.org/10.3390/su11184933
Alamgir, A., Fatima, N., Khan, M.A. and Shaukat, S.S. (2015) Microbiological Assessment of Street Vended Fresh Fruit Juices Available in the Karachi City. International Journal of Biology and Biotechnology, 12, 505-509.
Yang, W., Zhao, Y., Wang, D., Wu, H., Lin, A. and He, L. (2020) Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China. International Journal of Environmental Research and Public Health, 17, 2942. https://doi.org/10.3390/ijerph17082942
IBM Corp. (2021) IBM SPSS Statistics for Windows. Version 28. IBM Corp., Armonk.
RStudio Team (2020) RStudio: Integrated Development Environment for R. http://www.rstudio.com
Elumalai, V., Brindha, K., Sithole, B. and Lakshmanan, E. (2017) Spatial Interpolation Methods and Geostatistics for Mapping Groundwater Contamination in a Coastal Area. Environmental Science and Pollution Research, 24, 11601-11617. https://doi.org/10.1007/s11356-017-8681-6
Haldar, K., Kujawa-Roeleveld, K., Dey, P., Bosu, S., Datta, D.K. and Rijnaarts, H.H.M. (2020) Spatio-Temporal Variations in Chemical-Physical Water Quality Parameters Influencing Water Reuse for Irrigated Agriculture in Tropical Urbanized Deltas. Science of the Total Environment, 708, Article ID: 134559. https://doi.org/10.1016/j.scitotenv.2019.134559
Nistor, M.M., Rahardjo, H., Satyanaga, A., Hao, K.Z., Xiaosheng, Q. and Sham, A.W.L. (2020) Investigation of Groundwater Table Distribution Using Borehole Piezometer Data Interpolation: Case Study of Singapore. Engineering Geology, 271, Article ID: 105590. https://doi.org/10.1016/j.enggeo.2020.105590
ESRI (2020) ArcGIS Desktop: Release 10.8.1. Environmental Systems Research Institute, Redlands.
WHO (2011) Guidelines for Drinking-Water Quality. 4th Edition, World Health Organization, Geneva. https://www.who.int/publications/i/item/9789241549950
Shedayi, A.A., Jan, N., Riaz, S. and Xu, M. (2015) Drinking Water Quality Status in Gilgit, Pakistan and WHO Standards. Science International, 27, 2305-2311.
Begum, F., Rubina, K.A., Khan, A., Hussain, I., Ishaq, S. and Ali, S. (2014) Water Quality Assessment Using Macroinvertebrates as Indicator in Sultanabad Stream (Nallah), Gilgit, Gilgit-Baltistan, Pakistan. Journal of Biodiversity and Environmental Sciences, 5, 564-572.
Islam, N., Ahmed, K., Nafees, M.A., Khalil, M., Hussain, I., Ali, M. and Imran, R. (2021) Physico-Chemical and Bacteriological Analysis of Drinking Water of Springs of Sherqilla, District Ghizer, Gilgit-Baltistan, Pakistan. Pakistan Journal of Zoology, 53, 1-8. https://doi.org/10.17582/journal.pjz/20160717150758
Baig, S., Begum, F., Raut, N., Khan, M.Z., Mumtaz, S., Ali, M. and Ali, K. (2019) Spatio-Temporal Variation of Selected Heavy Metals in Drinking Water Systems of Central Hunza, Gilgit-Baltistan, Pakistan. Fresenius Environmental Bulletin, 28, 207-214.
Lodhi, Z.H., Akif, M. and Kalsoom, U. (2003) Evaluation of Drinking Water from Different Sources in Skardu-Northern Area with Special Reference to Heavy Metals. Journal of the Chemical Society of Pakistan, 25, 110.
Muhammad, S. and Ahmad, K. (2020) Heavy Metal Contamination in Water and Fish of the Hunza River and Its Tributaries in Gilgit-Baltistan: Evaluation of Potential Risks and Provenance. Environmental Technology & Innovation, 20, Article ID: 101159. https://doi.org/10.1016/j.eti.2020.101159
Nafees, M.A., Ahmed, K., Ali, S., Karim, R. and Khan, T. (2014) Bacteriological Analysis of Drinking Water Sources in CKNP Region of Gilgit Baltistan, Pakistan. International Journal of Biosciences, 5, 54-59. https://doi.org/10.12692/ijb/5.4.54-59
Huang, Z., Liu, C., Zhao, X., Dong, J. and Zheng, B. (2020) Risk Assessment of Heavy Metals in the Surface Sediment at the Drinking Water Source of the Xiangjiang River in South China. Environmental Sciences Europe, 32, Article No. 23. https://doi.org/10.1186/s12302-020-00305-w
Alamgir, A., Khan, M.A., Shaukat, S.S., Majeed, R. and Fatima, S.U. (2019) Communal Health Perception of Tap Water Quality Supplied to Shah Faisal Town, Karachi. International Journal of Biology and Biotechnology, 16, 189-198.
Mustafa, S., Baloch, N., Muhammad, S., Malik, Y., Khan, T., Bibi, M., Qadir, A., Razaque, G. and Baloch, I.A. (2017) Determination of Trace and Heavy Metals in Drinking Water of Jhal Magsi District of Balochistan, Pakistan. Pure and Applied Biology (PAB), 6, 9-17. https://doi.org/10.19045/bspab.2016.50161
Radwan, M.A. and Salama, A.K. (2006) Market Basket Survey for Some Heavy Metals in Egyptian Fruits and Vegetables. Food and Chemical Toxicology, 44, 1273-1278. https://doi.org/10.1016/j.fct.2006.02.004
Iyare, P.U. (2019) The Effects of Manganese Exposure from Drinking Water on School-Age Children: A Systematic Review. Neurotoxicology, 73, 1-7. https://doi.org/10.1016/j.neuro.2019.02.013
Smedley, P.L., Cooper, D.M. and Lapworth, D.J. (2014) Molybdenum Distributions and Variability in Drinking Water from England and Wales. Environmental Monitoring and Assessment, 186, 6403-6416. https://doi.org/10.1007/s10661-014-3863-x
Majeed, R., Khan, M.A., Fatima, S.U., Mahmood, N., Sulman, N. and Shaukat, S.S. (2020) Public Health Status and Socioeconomic Conditions in Climate Change-Affected Northern Areas of Pakistan. International Journal of Biology and Biotechnology, 17, 307-317.