Dynamics of heavy metals such as Fe, Mn, Co, Ni, Cu, Zn, Cr, Pb and Cd in surface water of Brahmani river-estuarine system were studied taking 25 samples from different sampling locations along the complete stretch. Irrespective of season, Fe was most abundant in both river (avg. 260.15 μg / l ) and estuarine (avg. 119.9μg / l) samples, whereas Cd (avg. 1.59 μg / l) and Co (avg.1.55μg / l) were...

prediction of spatial and temporal variation of water quality is vital for managing pollutantsdisposal into the rivers. depletion of dissolved oxygen (do) takes place due to the consumption of oxygen bymicrobes to digest bio-degradable pollutants which enter a water course. reaeration takes place in a specificrate depending on do deficit. many investigators have formulated models as an alternat...

Statistical trend analysis and time-series prediction model are widely used in water quality regulation. Using the Mann-Kendall test, was performed on monthly time series. The findings revealed that only potential Hydrogen (pH) Total Coliforms (TC) showed meaningful trends. Future values for parameters which affect have been predicted using Autoregressive Integrated Moving Average (ARIMA) model...

Recently, the optical remote sensing technique is effectively applied to monitor real-time water quality parameters at finer spatiotemporal scales that are mostly based on surface reflectance of satellite images. However, during rainy season due cloudy or hazy images, it a great challenge obtain reflectances and estimate pollutant concentration. This study specially focused developing novel app...

This study presents an approach for modelling and mapping fluvial flooding, considering both land use/land cover (LULC) change climate change, applies it to the Brahmani River Basin in eastern India. Climate projections were obtained from Coupled Model Intercomparison Project Phase 6 (CMIP6), their impacts on hydrology of catchment investigated using HEC-HMS HEC-RAS software. Results reveal tha...

Floods are potential natural disasters that might disrupt human activities, resulting in severe losses of life and property a region. Excessive rainfall is one the reasons for flooding, especially downstream areas catchment. Because their complexity, understanding forecasting rainfalls challenging. This paper aims to apply Adaptive Neuro-Fuzzy Inference System (ANFIS) predicting average monthly...

Widespread urban expansion around the world, combined with rapid demographic and climatic changes, has resulted in serious pollution issues many coastal water bodies. To help formulate management strategies to mitigate impacts of these extreme changes (e.g., local land-use or climate change adaptation policies), research methodologies that incorporate participatory approaches alongside computer...