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Full Description
This book explores an expansive range of contemporary topics, including advanced wastewater treatment methods, solid waste management strategies, groundwater contamination modeling, and innovative monitoring of emerging pollutants. The proceedings of the 1st International Conference on Innovation and Sustainability in Civil Engineering: Shaping Tomorrow's Infrastructure (ISCESTI—2025), held from May 14-16, 2025, at the National Institute of Technology (NIT) Patna, features a compelling volume dedicated to Environmental Engineering. This book brings together a diverse array of cutting-edge research, practical solutions, and visionary perspectives addressing critical environmental challenges through the lens of civil and environmental engineering.
Groundbreaking studies presented herein utilize modern tools such as artificial intelligence, remote sensing, electrochemical processes, and bio-based technologies to enhance sustainability and efficiency in environmental systems. Key themes include prediction and risk assessment of groundwater contaminants (e.g., fluoride, arsenic, and nitrates), solid waste valorization and management, GHG emissions from municipal systems, and reuse of treated effluents. Additionally, papers investigate the environmental impact of industrial activities, nutrient recovery, and eco-material development such as biodegradable packaging and bio-toilets. A special emphasis is laid on circular economy frameworks, e-waste governance, and public health implications of pollution and micro-plastics. This book serves as an invaluable reference for researchers, environmental engineers, policy-makers, and practitioners engaged in developing sustainable and resilient environmental systems. This book underscores data-driven approaches, scalable technologies, and policy-relevant insights, aligning with global sustainability goals and the urgent need for environmentally responsible civil infrastructure.
Contents
Spatiotemporal Analysis of Air Pollution and Vegetation Dynamics in Patna Using Geospatial Indices.- Spatiotemporal Analysis and Forecasting of NO₂ Pollution over Dhanbad Using Sentinel-5P and Deep Learning Approaches- Spatiotemporal Analysis of Vegetation Dynamics in Amritsar Using NDVI and Remote Sensing Techniques.- Live-Bed Scour Depth Modelling Around the Bridge Pier Using and Extreme Learning Machine.- Analysing the Correlation between Land Surface Temperature (LST) and Vegetation, water, and Built-up Indices in Delhi (UT).- Computation of Probabilistic Risk Assessment through Monte Carlo Simulation for Consumption of Water Contaminated with Nitrate and Fluoride in Patna, Bihar.- Artificial intelligence-based groundwater fluoride prediction and comparison of different machine learning algorithms.- Comparative study of hydrodynamics of raceway pond using k-ε and k-ɷ turbulence models using CFD.- Estimation of colored wastewater from Patwa Toli and its treatment using sawdust as adsorbent.- Prediction of flow resistance in a compound channel having meandering flood plains by using CNN, RNN, and LSTM.- Evaluation of Groundwater Contamination in the Vicinity Area of Sarai Municipal Solid Waste Dumping Site, Haridwar District, Uttarakhand.- GHG Emissions from Solid Waste Management in Ayodhya: Quantification and Mitigation Strategies.- FTIR Spectroscopic Characterization of Sewage Sludge Biochar.
