Abstract
The present study was designed to determine the spatiotemporal patterns in water quality of River Soan using multivariate statistics. A total of 26 sites were surveyed along River Soan and its associated tributaries during pre- and post-monsoon seasons in 2008. Hierarchical agglomerative cluster analysis (HACA) classified sampling sites into three groups according to their degree of pollution, which ranged from least to high degradation of water quality. Discriminant function analysis (DFA) revealed that alkalinity, orthophosphates, nitrates, ammonia, salinity, and Cd were variables that significantly discriminate among three groups identified by HACA. Temporal trends as identified through DFA revealed that COD, DO, pH, Cu, Cd, and Cr could be attributed for major seasonal variations in water quality. PCA/FA identified six factors as potential sources of pollution of River Soan. Absolute principal component scores using multiple regression method (APCS–MLR) further explained the percent contribution from each source. Heavy metals were largely added through industrial activities (28 %) and sewage waste (28 %), nutrients through agriculture runoff (35 %) and sewage waste (28 %), organic pollution through sewage waste (27 %) and urban runoff (17 %) and macroelements through urban runoff (39 %), and mineralization and sewage waste (30 %). The present study showed that anthropogenic activities are the major source of variations in River Soan. In order to address the water quality issues, implementation of effective waste management measures are needed.
Similar content being viewed by others
References
Abbasi MN, Tufail M, Chaudhry M (2013) Assessment of heavy elements in suspended dust along the Murree Highway near Capital City of Pakistan. World App Sci J 21(9):1266–1275
Ahmed R (1998) Impact of environmental pollution in Rawalpindi–Islamabad In: 24th WDEC conference sanitation for all, pp 157–158
Azizullah A, Khattak MN, Richter P, Häder DP (2011) Water pollution in Pakistan and its impact on public health: a review. Environ Int 37(2):479–497. doi:10.1016/j.envint.2010.10.007
Babar NF, Hussa In A, Zaidi N (2014) Assessment of quality of Soan River water. Found Med Univ J 1(1):35–41
Bu H, Tan X, Li S, Zhang Q (2010) Temporal and spatial variations of water quality in the Jinshui River of the south Qinling Mts., China. Ecotox Environ Saf. doi:10.1016/j.ecoenv.2009.11.007
Chandra M, Saxena RS, Sharma HN (2014) Water quality studies in river Burhi Ganga in district Etah (U.P.). Ind J Biol Stud Res 3(2):83–90
Chang H (2008) Spatial analysis of water quality trends in the Han River basin, South Korea. Wat Res 42:3285–3304
Chen H, Teng Y, Yue W, Song L (2013) Characterization and source apportionment of water pollution in Jinjiang River, China. Environ Monit Assess 185:9639–9650. doi:10.1007/s10661-012-2684-z
Chen P, Li L, Zhang H (2015) Spatio-temporal variations and source apportionment of water pollution in Danjiangkou Reservoir Basin, Central China. Water 7:2591–2611
Guo H, Wang T, Louie PKK (2004) Source apportionment of ambient non-methane hydrocarbons in Hong Kong: application of a principal component analysis/absolute principal component scores (PCA/APCS) receptor model. Environ Pollut 129:489–498
Hagler B (2007) Environmental Baseline Study: Margala and Margala North Blocks. MOL Pakistan Oil and Gas Company BV, Islamabad
Iqbal J, Shah M (2014) Occurrence, risk assessment, and source apportionment of heavy metals in surface sediments from Khanpur Lake, Pakistan. J Anal Sci Technol 5:28
Iram S, Kanwal S, Ahmad I, Tabassam T, Suthar V, Hassan MM (2013) Assessment of physicochemical parameters of wastewater samples. Environ Monit Assess 185:2503–2515
Jadoon WA, Arshad M, Ullah I (2012) Spatio-temporal microbial water quality assessment of selected natural streams of Islamabad, Pakistan. Rec Zool Surv Pak 21:14–18
Jalil A, Khan K (2012) Preliminary appraisal of physicochemical and bacteriological water contaminations in Rawalpindi/Islamabad catchment of Soan River, Potwar Plateau (Punjab), Pakistan. Punjab Univ J Zool 27(1):39–44
Kannel PR, Lee S, Kannel SR, Khan SP (2007) Chemometric application in classification and assessment of monitoring locations of an urban river system. Anal Chim Acta 582:390–399
Khan A, Yousafzai AM, Latif M, Rehman A, Khan Q, Zaib A, Ullah A, Sthanadar AA, Haq I, Aziz A (2014) Analysis of selected water quality parameters and heavy metals of Indus River at BekaSwabi, Khyber Pakhtunkhwa, Pakistan. Int J Biosci 4:28–38
Kotti ME, Vlessidis AG, Thanasoulias NC, Evmiridis NP (2005) Assessment of river water quality in Northwestern Greece. Water Resour Manag 19:77–94
Kumar P, Singh AN, Shrivastava R, Mohan D (2015) Assessment of seasonal variation in water quality dynamics in River Varuna: a major tributary of River Ganga. Int J Adv Res 3(3):1176–1193
Li S, Li J, Zhang Q (2011) Water quality assessment in the rivers along the water conveyance system of the middle route of the south to north water transfer project (China) using multivariate statistical techniques and receptor modeling. J Hazard Mater 195:306–317
Mehmood S, Ahmad A, Ahmed A, Khalid N, Javed T (2013) Drinking water quality in capital city of Pakistan. Sci Rep 2:637. doi:10.4172/scientificreports.637
Mian Z, Ahmed T, Rashid A (1998) Accumulation of heavy metals in water of Soan River due to effluents in the industrial area P 104 In: Proceedings of international symposium on agro-environmental issues and future strategies towards 21st century, May 25–30, Faisalabad, Pakistan
Munir S, Mashiatullah A, Mahmood S, Javed T, Khan MS, Zafar M (2011) Assessment of groundwater quality using physicochemical and geochemical analysis in the vicinity of Lei nala, Islamabad, Pakistan. Nucleus 48(2):149–158
Murillo JH, Roman SR, Marinal JFR, Cardenas B (2013) Source apportionment of PM2.5 in the metropolitan area of Costa Rica using receptor models. Atmos Clim Sci 3:562–575
Mustapha A, Abdu A (2012) Application of principal component analysis and multiple regression models in surface water quality assessment. J Environ Earth Sci 2(02):2224–3216
Mustapha A, Aris Z, Ramli MF, Juahir H (2012) Temporal aspects of surface water quality variations using robust statistical tools. Sci World J. doi:10.1100/2012/294540
N’Diaye ADE, Kory MB, Kankou MOA (2013) Study of water quality during rainy season using physicochemical and metallic parameters of Senegal River in Mauritania. J Sci Issues Res Essays 1(1):1–10
Nazeer S, Hashmi Z, Malik RN (2014) Heavy metals distribution, risk assessment and water quality characterization by water quality index of the River Soan, Pakistan. Ecol Indic 43:262–270
Ndungu J, Augustijn DCM, Hulscher SJMH, Fulando B, Kitaka N, Mathooko JM (2014) A multivariate analysis of water quality in Lake Naivasha, Kenya. Mar Freshw Res. doi:10.1071/MF14031
Oketola AA, Adekolurejo SM, Osibanjo O (2013) Water quality assessment of River Ogun using multivariate statistical techniques. J Environ Prot 4:466–479
Pak EPA (2006) Environmental survey of industrial estate (I-9 & I-10) Islamabad. PAK EPA, Islamabad
Perona U, Bonilla I, Mateo P (1999) Spatial and temporal changes in water quality in a Spanish river. Sci Tot Environ 241:75–90
Qadir A, Malik RN, Husain SZ (2008) Spatio-temporal variations in water quality of Nullah Aik-tributary of the river Chenab, Pakistan. Environ Monit Assess 140:43–59
Qadir A, Malik RN, Feroze A, Jamil N, Mukhtar K (2013) Spatio temporal distribution of contaminant in Nullah Plakhu—highly polluted stream of Pakistan. J Environ Sci Water Res 2(10):342–353
Razamkhah H, Abrishamchi A, Torkian A (2010) Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: a case study on Jajrood River (Tehran, Iran). J Environ Mang 91:852–860
Retnam A, Zakaria MP, Juahir H, Aris AZ, Zali MA, Kasim MF (2013) Chemometric techniques in distribution, characterization and source apportionment of polycyclic aromatic hydrocarbons (PAHS) in aquaculture sediments in Malaysia. Mar Pollut Bull 69(1–2):55–66
Sadeghi S, Harchegani MK, Younesi H (2012) Suspended sediment concentration and particle size distribution, and their relationship with heavy metal content. J Earth Sys Sci 121:63–71
Santos-Roman DM, Warner GS, Scatena F (2003) Multivariate analysis of water quality and physical characteristics of selected watersheds in Puerto Rico. JAWAR 39:829–839
Sheikh I, Pasha M, Williams V, Raza S, Khan K (2007) Environmental geology of the Islamabad–Rawalpindi Area, Northern Pakistan, Geological Survey of Pakistan. Bulletin 2078:1–2
Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji River basin, Japan. Environ Model Soft 22:464–475
Simeonov V, Stefanov S, Tsakovski S (2000) Environmetrical treatment of water quality survey data from Yantrariver, Bulgaria. Mikrochim Acta 134:15–21
Singh KP, Malik A, Mohan D, Sinha S (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti river (India): a case study. Water Res 38:3980–3992
Singh KP, Malik A, Sinha S (2005a) Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques: a case study. Anal Chim Acta 538:355–374
Singh KP, Malik A, Sinha S, Singh VK, Murthy RC (2005b) Estimation of source of heavy metal contamination in sediments of Gomti river (India) using principal component analysis. Water Air Soil Pollut 166:321–341
Ullah Z, Khan H, Waseem A, Mehmood Q, Farooq U (2013) Water quality assessment of the river Kabul at Peshawar, Pakistan: industrial and Urban wastewater impacts. J Water Chem Ecol 35(4):170–176
Varol M, Gökot B, Bekleyen A, Şen B (2012) water quality assessment and apportionment of pollution sources of Tigris river (Turkey) using multivariate statistical techniques—a case study. River Res Appl 28:1428–1438
Wan Y, Qian Y, Migiliaccio KW, Li Y, Conrad C (2014) Linking spatial variations in water quality with water and land management using multivariate techniques. J Environ Qual 43:599–610
Wang XL, Lu YL, Han JY, He GZ, Wang TY (2007) Identification of anthropogenic influences on water quality of rivers in Taihu watershed. J Environ Sci 19:475–481
Wang YB, Liu CW, Liao PY, Lee JJ (2013) Spatial pattern assessment of river water quality: implications of reducing the number of monitoring stations and chemical. Environ Monit Assess. doi:10.1007/s10661-013-3492-9
Wang Q, Wu X, Zhao B, Qin J, Peng T (2015) Combined multivariate statistical techniques, water pollution index (WPI) and Daniel trend test methods to evaluate temporal and spatial variations and trends of water quality at Shanchong River in the Northwest Basin of Lake Fuxian, China. PLOS One. doi:10.1371/journal.pone.0118590
Wunderlin DA, Pilar DMD, Valeria AM, Fabiana PS, Cecilia HA, De Los Angeles BM (2001) Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality—a case study Suquia river basin (Cordoba, Argentina). Water Res 35:2881–2894
Yan CA, Zhang W, Zhang Z, Liu Y, Deng C, Nie N (2015) Assessment of water quality and identification of polluted risky regions based on field observations & GIS in the Honghe River Watershed, China. PLOS One. doi:10.1371/journal.pone
Yousafzai AM, Khan W, Hasan Z (2013) Fresh records on water quality and ichthyodiversity of River Swat at Charsadda, Khyber Pakhtunkhwa. Pak J Zool 45:1727–1734
Yusuf KA, Surukite OO, Abdusalam IO, Majolagbe AO (2013) Assessment of spatial variation of surface water quality in Lagos, using multivariate statistical techniques. J Environ 2(04):94–102
Zhao ZW, Cui FY (2009) Multivariate statistical analysis for the surface water quality of the Luan River, China. J Zhejiang Univ Sci A 10(1):142–148
Acknowledgments
The first author thanks the Higher Education Commission (HEC) of Pakistan for providing funding support under 5000 fellowship programs towards her PhD. The authors also are indebted to Pakistan Wetland Program (PWP) for providing transport and hydrolab facility for fieldwork and thank all of the students of the environmental biology lab for their help in the field as well as lab work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Nazeer, S., Ali, Z. & Malik, R.N. Water Quality Assessment of River Soan (Pakistan) and Source Apportionment of Pollution Sources Through Receptor Modeling. Arch Environ Contam Toxicol 71, 97–112 (2016). https://doi.org/10.1007/s00244-016-0272-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00244-016-0272-x