Developmental Strategies for a Water Quality Assessment Model with Limited Datasets – A Case Study from River Bhavani, India

Understanding the significance of rational attributes for a water quality model depends largely on the availability and reliability of virgin datasets pertaining to their spatial-temporal variations and interactions. Present study aims to identify certain crucial attributes for deriving a water qual...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-06, Vol.1032 (1), p.12018
Main Authors: Ravinashree, A, Sivapragasam, C, Vasudevan, M
Format: Article
Language:English
Subjects:
Algae
Alkalinity
Biochemical oxygen demand
Climatic conditions
Data-limited Modelling
Datasets
Dissolved oxygen
Inorganic suspended solid
Nonpoint source pollution
Nonpoint sources
Oxygen
pH effects
Pollution load
QUAL2K
Quality assessment
Quality control
Rivers
Solid suspensions
Spatial variations
Suspended solids
Temperature dependence
Temporal variations
Water quality
Water quality assessments
Water quality model
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Understanding the significance of rational attributes for a water quality model depends largely on the availability and reliability of virgin datasets pertaining to their spatial-temporal variations and interactions. Present study aims to identify certain crucial attributes for deriving a water quality model for a selected reach of River Bhavani in Tamil Nadu, India using the results of the QUAL2K model based on a limited dataset. The spatial variations in the concentrations of inorganic suspended solids (ISS) and carbonaceous biochemical oxygen demand (cBOD) were studied in detail corresponding to the possible variations in other model parameters (pertaining to the hydraulic, environmental and climatic conditions). The results indicate that the cBOD has a significant dependency on temperature, dissolved oxygen and pH, while the ISS has shown more dependency on alkalinity, conductivity and bottom algae. It is further inferred that variations in pH and dissolved oxygen can impose triggering effects when external pollution loads (point and nonpoint sources) are introduced while generating the corresponding profiles of ISS and cBOD. Based on the results, the conceptual strategies for developing a data-limited model is presented, which can be further developed to simulate water quality profiles for similar data-limited scenario.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1032/1/012018