Assessment of Surface Water Quality in terms of Water
Quality Index- A Case Study of Jirania Sub Division,
Tripura, India
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Debbarma S, Chakraborty T, Majumder M
Volume:
10
Issue:
2
Grenze ID:
01.GIJET.10.2.275
Pages:
4597-4605
Abstract
Surface water, comprising 1.2% of Earth's fresh water, is crucial for life on Earth,
with rivers being significant sources, requiring river-based resource management to address
global water quality challenges. Fresh water is primarily obtained from surface waters, and rivers
are significant ecological structures that are required to maintain ecological equilibrium. In many
places, the country's rapidly expanding metropolitan areas and population have put the quality
of the river's water in jeopardy. Water quality is the chemical, physical, and biological
characteristics of water that affect its suitability for various uses like drinking, irrigation,
industrial processes, and aquatic ecosystems. It is crucial to monitor and address factors like
natural processes, human activities, and pollution sources to ensure human and environmental
health. The present study emphasises the test of water quality in rivers, ponds, and wetlands used
for different purposes and the corresponding impact thereon based on a detailed explanation of
the monitoring data obtained through laboratory analysis of samples and relevant field
observations. An attempt has been made to develop a water quality index (WQI) using seven
water quality parameters: hardness, chloride, temperature, total dissolved solid (TDS), electrical
conductivity (EC), pH, and dissolved oxygen (DO) at sixteen different sampling stations in Jirania
sub-division, Tripura. The weighted arithmetic water quality index method was used to find WQI
in various locations. The WQI in this area ranged from 45.16 to 77.78, with 77.78 being the
maximum value. Three samples, according to WQI, were in the "good" category, while twelve
samples were in the "poor" category and one sample were “very poor” category.