Most of the hydro-climatic time series possess nonlinear and non-stationary properties, and understanding the changing behavior and its modeling is challenging and it has a high practical significance in the simulation and forecasting of hydrological variables.

Various parts of the world often confronts with hydrological extremes of floods and droughts. The extreme events can be studied quantitatively through event magnitude / severity, peak, duration, spatial extent, etc. To manage the extremes in a region, it requires understanding the expected frequency of multiple characteristics of flood (drought) extreme (say, magnitude for different durations and spatial extent). To understand the risks and plan the activities, generation of flood (drought) vulnerability mapping and flood inundation maps, etc., are very useful in different contexts.

Floods continue to be the most recurring natural disasters and also affect a larger number of people worldwide. Regardless of the progress in technology, the economic loss and deaths due to floods are increasing day by day. Worldwide economic loss of $788.9 billion and 272,251 deaths during 1970-2012 are recorded by World Meteorological Organisation (WMO). Climate change and global warming are reported to exacerbate the situation. Some serious recent floods in India are 2017 Mumbai flood, 2017 Gujrat flood, 2015 Chennai flood, 2013 Uttarakhand flood, 2005 Mumbai flood, etc.

To overcome the inherent limitations of conventional optimisation techniques in solving large-scale nonlinear water resource optimisation problems, my research team works on development of bio-inspired search algorithms (such as ant colony optimisation, particle swarm optimisation, honey bee search algorithm, cross entropy algorithm, gravitational search algorithm, genetic algorithms, differential evolution, etc.) for single and multiobjective optimisation, and employing it for planning, design, and operation of water resources systems, such as single and multipurpose reservoir operation; r

The Land fill slope stability Model (LSSM) software was developed using Visual Basic,.NET in C# language. LSSM can deal with thefollowing problems:

1. Stability of cover soil for infinite Slope

2. Veneer Slope Stability Analysis (without and with reinforcement)

3. Veneer Slope Stability Analysis for unreinforcedTapered Cover Soil

4. Veneer Slope Stability Analysis for reinforced Tapered Cover Soil

5. Seismic Analysis for Veneer Slope Stability

6. Seismic Analysis for Veneer Slope Stability (With reinforcement)

Laboratory model tests were performed on end bearing stone columns confined with bamboo made partial and full length encasements in very soft Marin clay. Effectiveness of the natural bamboo encasement was checked in comparison to a full length polyester geogrid encasement. Experimental results indicated improved footing capacity over column treated clay bed with increase in the length of bamboo encasement. Maximum footing capacity was achieved with full length bamboo encasement. The proposed bamboo encasement was found effective to produce significant improvement in footing capacity.

The development of new proposed engineered cover system units have will be replace the conventional cover system to reduce the potential for water infiltration and minimize crack formation. Inclusion of fibres improves shear strength of soil. PP S fibre having fibre content 1% shows better shear strength as compare to others, so fibres can be provided in cover soil.

Integrated waste management can reduce pollution caused by open dumping, says IIT Bombay study

Managing the tons of municipal waste we generate is a challenge that municipal bodies are trying to crack. A study by scientists from the Indian Institute of Technology Bombay (IIT Bombay) has attempted to solve this. The researchers compared various waste management methods that are available today and suggest that combining these options, instead of dumping the waste in the open, can reduce the impact on our environment.

Adding chaos helps finding better solutions to multi-reservoir irrigation systems, says an IIT Bombay Study

IITB study predicts Indian offshore wind farms will benefit from rise in sea temperatures