A model-based prediction and analysis of seasonal and tidal influence on pollutants distribution from city outfalls of river Ganges in West Bengal, India and its mapping using GIS tool

River Ganges (locally called as river Ganga) is one of the most scared rivers in India. The symbol hope, faith and worshipped for its wholesomeness due to purity sanctity. Pollution water anthropogenic activity a very common issue worldwide. Similarly, Ganga pollution India throughout entire courses, major concern city outfalls. This river, also named Hooghly West Bengal, India, exposed outfalls carrying domestic wastewater both bank their distribution strongly influenced by season tide. study aimed generate an idea distance direction wise changes concentration pollutants Ganga. During 2014, selection five was done considering Dissolved Oxygen (DO), Biochemical Demand (BOD), heavy metals, total fecal coliform level, continued next four consecutive years find out influence tide season. Geographical Information System (GIS) based maps provided better reflection these changes. Student’s t-test highlighted significant parameters wise. A higher value DO, BOD, nitrate nitrogen, chloride were found pre-monsoon compared monsoon Regression Equation generated highly correlated (coliform metals) helped predict level parameter with others. zone phosphorus nitrogen from each selected prominent. Acoustic Doppler current profiler at two estimate strip-wise depth average discharge which quality Plug Flow Model during high low strong tidal variation observed influential will help alternative solution use. approach can be applied globally prepare usage guidelines.