Assessing the water quality of upper Indus Basin (UIB) by framing water quality index (WQI)

Paper Details

Research Paper 01/01/2019
Views (691)
current_issue_feature_image
publication_file

Assessing the water quality of upper Indus Basin (UIB) by framing water quality index (WQI)

Mansoor A. Baluch, Hashim Nisar
Int. J. Biosci. 14(1), 543-553, January 2019.
Copyright Statement: Copyright 2019; The Author(s).
License: CC BY-NC 4.0

Abstract

The water quality of Indus River is badly affected due to higher concentrations of arsenic (As) and lead (Pb). In this study, multi criteria decision making technique is used to assess the water quality of upper Indus basin (UIB). Eight physico-chemical quality parameters from five regions of UIB were utilized to frame water quality index (WQI). Analysis on the basis of this adjusted WQI classify the quality of water into three bands identified as good (0-7), fair (8-20) and bad quality water (>20), respectively. Afterward this adjusted WQI was applied for assessing the water quality of UIB. Water Quality data which include the pH, DO, TDS, EC, salinity, ORP, As & Pb concentration of sixty four samples belonging to UIB was utilized for the purpose. The results in this study show that the new WQI is sensitive to As and Pb. A slight variation of As from WHO recommended values i.e. 10mg/l immediately reflected by index value. According to results obtained water quality of Indus River is seriously affected from As from its start. We hope that adjusted WQI reported in this study might serve as essential part of monitoring protocol to save this valuable water resource of Pakistan.

Ahmed M, Nazim K, Khan A, Siddiqui MF, Khan MU. 2017. Arsenic and Lead Level from Upper to Lower Indus Basin of Pakistan. FUUAST Journal of Biology 7, 183-191.

Brown RM, McClelland NI, Deininger RA, Tozer RG. 1970. A water quality index- Do we dare. Water Sewage Works 117, 339-343.

Cude CG. 2001. Oregon Water Quality Index a Tool for Evaluating Water Quality Management Effectiveness. Journal of the American Water Resources Association 37, 125-137.

Dubois O. 2011. The state of the world’s land and water resources for food and agriculture: managing systems at risk. Earthscan, New York, NY, USA.

Goepel KD. 2013. Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises–a new AHP excel template with multiple inputs, Proceedings of the international symposium on the analytic hierarchy process. Creative Decisions Foundation Kuala Lumpur pp. 1-10.

Hernández-Romero AH, Tovilla-Hernández C, Malo EA, Bello-Mendoza R. 2004. Water quality and presence of pesticides in a tropical coastal wetland in southern Mexico. Marine Pollution Bulletin 48, 1130-1141.

Horton RK. 1965. An index number system for rating water quality. Journal of Water Pollution Control Federation 37, 300-306.

Hughes MF, Beck BD, Chen Y, Lewis AS, Thomas DJ. 2011. Arsenic exposure and toxicology: a historical perspective. Toxicological sciences : an official Journal of the Society of Toxicology 123, 305-332.

Jena V, Dixit S, Gupta S. 2013. Assessment of water quality index of industrial area surface water samples. International Journal of ChemTech Research 5, 278-283.

Karim A, Veizer J. 2000. Weathering processes in the Indus River Basin: implications from riverine carbon, sulfur, oxygen, and strontium isotopes. Chemical Geology 170, 153-177.

Mirzaei M, Nazari A, Yari A. 2005. quality zoning of Jajrood river. Journal of Environmental Studies 37,17-26.

Mirzaei M, Solgi E, Salman-Mahiny A. 2016. Evaluation of Surface Water Quality by NSFWQI Index and Pollution Risk Assessment, Using WRASTIC Index in 2015. Archives of Hygiene Sciences 5, 264-277.

Misaghi F, Delgosha F, Razzaghmanesh M, Myers B. 2017. Introducing a water quality index for assessing water for irrigation purposes: A case study of the Ghezel Ozan River. Science of the Total Environment 589, 107-116.

Priscoli JD. 2000. Water and civilization: using history to reframe water policy debates and to build a new ecological realism. Water Policy 1, 623-636.

Sharma MP, Sharma S, Goel V, Sharma P, Kumar A. 2006. Water quality assessment of Behta River using benthic macroinvertebrates. Life Science Journal 3, 68-74.

Shokuhi R, Hosinzadeh E, Roshanaei G, Alipour M, Hoseinzadeh S. 2012. Evaluation of Aydughmush dam reservoir water quality by National Sanitation Foundation Water Quality Index (NSF-WQI) and water quality parameter changes. Iranian Journal of Health and Environment 4, 439-450.

Terrado M, Barceló D, Tauler R, Borrell E, de Campos S. 2010. Surface-water-quality indices for the analysis of data generated by automated sampling networks. TrAC Trends in Analytical Chemistry 29, 40-52.

Zandbergen PA. 1998. Urban watershed ecological risk assessment using GIS: a case study of the Brunette River watershed in British Columbia, Canada. Journal of Hazardous materials 61, 163-173.

Related Articles

Hepatoprotective and antinociceptive effects of terpinolene in streptozotocin-induced diabetic peripheral neuropathic rats

Ravishankar Sarumathi, Muthukumaran Preethi, Chandrasekaran Sankaranarayanan*, Int. J. Biosci. 27(6), 156-166, December 2025.

Agromorphological characterization of six promising bambara groundnut [Vigna subterranea (L.) Verdc.] genotypes under selection in Burkina Faso

Adjima Ouoba*, Ali Lardia Bougma, Dominique Nikiéma, Mahamadi Hamed Ouédraogo, Nerbéwendé Sawadogo, Mahama Ouédraogo, Int. J. Biosci. 27(6), 145-155, December 2025.

Integrated in silico and in vitro analyses reveal E-cadherin crosstalk and TF: FVIIa complex-mediated trophoblast motility via MEK/JNK activation

Kirthika Manoharan, Jagadish Krishnan, Vijaya Anand Arumugam, Shenbagam Madhavan*, Int. J. Biosci. 27(6), 136-144, December 2025.

Effect of flooding depth and harvest intensity on soil moisture dynamics and production of baobab (Adansonia digitata) seedlings

Sissou Zakari, Pierre G. Tovihoudji, Mouiz W. I. A. Yessoufou, Sékaro Amamath Boukari, Vital Afouda, Imorou F. Ouorou Barrè, Int. J. Biosci. 27(6), 127-135, December 2025.

Local food processing and associated hygienic quality in greater Lomé, Togo: Traditional cooked corn-based dough akpan wrapped in M. cuspidata, M. mannii and M. purpurea species leaves

Mamy Eklou, Komlan Edjèdu Sodjinou, Kodjo Djidjolé Etse, Awidèma Adjolo, Benziwa Nathalie Johnson, Bayi Reine Dossou, Yaovi Ameyapoh, Raoufou Radji, Akossiwoa M-L Quashie, Int. J. Biosci. 27(6), 114-126, December 2025.

Improving the microbiological quality of spices and spice blends using treatments accessible to SMEs/SMIs

Pingdwindé Marie Judith Samadoulougou-Kafando, Korotimi Traoré, Crépin Ibingou Dibala, Aboubacar Sidiki Dao, Josias Nikiema, Idrissa Taram, Adama Pare, Inoussa Salambéré, Donatien Kaboré, Charles Parkouda, Int. J. Biosci. 27(6), 102-113, December 2025.

Twin-row planting practice in village sugarcane (Saccharum officinarum L.) plantations during first ratoon under rainfed conditions in northern Côte d’Ivoire

Allé Yamoussou Joseph, Sawadogo Fatima, Traoré Mohamed Sahabane, Fondio Lassina, Int. J. Biosci. 27(6), 91-101, December 2025.

Prevalence of dengue infection in Delta State, Nigeria

P. A. Agbure, O. P. G. Nmorsi, A. O. Egwunyenga, Int. J. Biosci. 27(6), 82-90, December 2025.