Open AccessA brief review of water quality indices and their applications
Author(s) -
Zahraa Zahraw,
Abdul-Hameed M. Jawad Al-Obaidy,
Fikrat M. Hassan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/779/1/012088
Subject(s) - quality (philosophy) , computer science , aggregate (composite) , process (computing) , set (abstract data type) , water quality , parametric statistics , simple (philosophy) , selection (genetic algorithm) , data mining , statistics , machine learning , mathematics , ecology , philosophy , materials science , epistemology , composite material , biology , programming language , operating system
Water Quality Indices (WQIs) refers to a set of water quality parameter data that aggregate to produce a single value to the water quality, reducing the huge amount of data into a simple and easy expression. Also enabling comparisons of water quality status for different locations and at different times, which eventually will help inform of water quality status to management and the public in a simple manner. Before generating and developing an appropriate mathematical model, there should be a process of evaluating, reviewing, and considering the Challenges and limitations of the existing developed models of similar nature. Therefore, this review paper intends to summarize the scientific literature papers from different countries related to the development of the water quality indices and practical applications. In general, five common steps are used in approaches of WQI calculation: (1) selection of parameter, (2) transform the data from a parametric system to a dimensionless system, (3) creation of subindices, and (4) compute the final WQI score by using the aggregation of subindices.