Trends of surface water quality of the Krishna River, India during the urbanization process

Abstract

In the present study, Amaravati, the proposed city of India is considered to assess the impacts of urbanization on water quality of the Krishna River in the vicinity. Long‐term surface water quality data of various parameters of Krishna River are obtained from Central Water Commission (CWC). Trends of various parameters are analyzed using a modified version of Mann‐Kendall (M‐K) test; bootstrapped M‐K trend test with optional bias corrected pre‐whitening and R programming are used affecting water quality prior to and at the commencement of urbanization. During the onset of urbanization, minimum BOD is decreased from 0.49 to 0.2 mg/L, while the maximum BOD is increased by 67.7%. Dissolved oxygen's (DO) minimum value is decreased by 29.33% while maximum DO value is decreased by 4.47% at the beginning of urbanization. During the process of urbanization, total coliform's minimum count is increased to 330 from 2 MPN/100 ml while the maximum count of total coliforms is increased to 16,000 from 2400 MPN/100 ml. Faecal coilform's minimum count is increased from 2 to 80 MPN/100 ml while maximum count is increased to 16,000 from 800 MPN/100 ml during urbanization. It is found that due to urbanization, pH, DO values exceed the allowable limit.

Investigating river water quality assessment through non‐parametric analysis: A case study of the Godavari River in India

“…Due to these characteristics, it is encouraged to use a nonparametric test to detect potential trends in water quality parameters (Helsel & Hirsch, 1992;Mozejko, 2012). Consequently, a multitude of researchers have embraced non-parametric approaches (Ballantine & Davies-Colley, 2014;Chen et al, 2019;Gomes & Karunatilaka, 2023;Helsel & Hirsch, 2002;Rao et al, 2022;Rentachintala et al, 2023;Yenilmez et al, 2011) to delineate trends in the concentrations of water quality parameters.…”