A Review Paper on Water Quality Index Models: Genesis, Evolution and Their Applications
Author(s):
G. Tirumalesh, S. Sharada, N. Raveendhar
Keywords:
Water Quality Index (WQI), Water quality parameters, Sub-index Aggregation function, Water quality classification, Weight factor.
Abstract
The water quality index (WQI) model is a prominent technique for assessing the quality of water. Aggregation methods are used to reduce enormous volumes of water quality data to a single value or index. The WQI model has been used across the world to assess surface and groundwater quality using particular water quality criteria. From its inception in the 1960s, it's been a technique due to its universal shape and ease of use. WQI models typically require four stages: [a] the selection of water quality parameters, [b] the development of sub-indices for each parameter, [c] the computation of parameter weighting values, and [d] the aggregation of sub-indices to calculate the overall water quality index. The WQI tells that environmental factors such as geographic location and sample time had an impact on water quality. Moreover, WQI was shown as a single number that condensed a vast number of water quality variables to simplify the data.. The continuous use of the WQI tool provided long-term data that assisted water management administrators, environmental consultants, and scientists make decisions and manage their resources. WQI and its development methodologies are addressed in this study, WQI's advantages as well as disadvantages and applications are discussed.
Article Details
Unique Paper ID: 158704

Publication Volume & Issue: Volume 9, Issue 10

Page(s): 433 - 443
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