Support Vector Regression Models of Stormwater Quality for a Mixed Urban Land Use

The present study is an attempt to model the stormwater quality of a stream located in Pune, India. city split up into twenty-three basins (named A W) by Pune Municipal Corporation. selected lies haphazardly expanded peri-urban G basin. basin has constructed drains which open this stream. runoff over regions picks non-point source pollutants are also added becomes more complex as misused dump trash materials, garbage and roadside litter, adds pollution. Experimental investigations include eleven distinct locations on naturally occurring Stormwater samples were collected for twenty-two storm events, monsoon season four years from 2018–2021, during after rainfall. physicochemical characteristics analyzed twelve water parameters, including pH, Conductivity, Turbidity, Total solids (TS), Suspended Solids (TSS), Dissolved (TDS), Bio-chemical Oxygen Demand (BOD5), Chemical (COD), (DO), Phosphate, Ammonia Nitrate. Water Quality Index (WQI) ranged 46.9 153.9 41.20 87.70 immediately rainfall, respectively. Principal Component Analysis was used extract most significant parameters. To understand non-linear relationship rainfall with pollutant Support Vector Regression (SVR) Radial Basis Kernel Function (RBF) developed. Machine powerful supervised algorithm that works best smaller datasets but ones help kernel tricks. accuracy evaluated based normalized root-mean-square error (NRMSE), coefficient determination (R2) ratio performance interquartile range (RPIQ). SVR depicted parameter TS NRMSE (0.17), R2 (0.82) RPIQ (2.91). unit increase or decrease coefficients displays weighted deviation values Non-linear models confirmed both antecedent dry days correlated conclusions drawn can provide effective information decision-makers employ appropriate treatment train approach varied control measures (SCM) be proposed treat mitigate This holistic serves stakeholder’s objectives manage efficiently. research further extended selecting multi-criteria decision-making tool adopt SCM its multiple potential combinations.