IITB Logo Environmental Systems Research Laboratory
1 / 3
Lack of dependence of Indian Summer Monsoon Rainfall extremes on temperature:
An observational evidence

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2 / 3
Interval-valued facility location model
An appraisal of municipal solid waste management system

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3 / 3
Understanding the cascade of GCM and downscaling uncertainties
in hydro‐climatic projections over India

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  • About ESRL
  • ESRL is situated at Centre for Environmental Science & Engineering ; however we are closely collaborating with Department of Civil Engineering, IDP Climate Change and Centre for Urban Science & Engineering . We have been attracting people from diverse fields in science and engineering which make us interdisciplinary in true sense. We primarily work on simulation and optimization of various water resources and environmental systems. As human induced and natural change is unequivocal, our research team is working on the quantification of impacts of climate change on hydrology, water resources and agriculture. We also work on solid waste management with the perspective of optimization and risk assessment.

RESEARCH TEAM

John

Dr. Subhankar Karmakar

Area of Research
Environmental and Water Resources Systems; Uncertainty Modeling and Decision Science for Environmental Systems; Hydro-climatic Extremes and Flood Management

I am involved in teaching and research as Associate Professor at the Centre for Environmental Science and Engineering , IIT Bombay since December 2007. I am also an associated faculty member of Interdisciplinary Programme in Climate Studies (currently DST - Centre of Excellence in Climate Studies) and Centre for Urban Science & Engineering , IIT Bombay. Before joining IIT Bombay as Assistant Professor, I worked as a Post-Doctoral Fellow at the University of Western Ontario , Canada under the mentorship of Prof. Slobodan P Simonovic . I obtained my Ph.D. on “Uncertainty Modeling in Water Resources Systems” from Indian Institute of Science (IISc), Bangalore, India under the supervision of Prof. P. P. Mujumdar . My primary research interest focuses on Environmental Systems Analysis (Water quality management, Solid waste management), Uncertainty Modeling, and Risk-Vulnerability Analysis to Climate-induced Natural Hazards, Climate change impact assessment. I upgraded my Masters degree to Ph.D. programme through the recommendation, decided on academic excellence basis, by the Senate Committee, IISc Bangalore. I also received BOYSCAST fellowship from Department of Science and Technology (DST), Govt. of India to pursue research at Duke University, North Carolina, USA. I have taught more than 12 undergraduate and postgraduate level courses at IIT Bombay, and supervised 6 and co-supervised 2 Ph.D. scholars till date. I am sincerely looking forward to explore new research avenues in the domain of Environmental and Climate Systems.

John
Organization of Grey Fuzzy Waste Load Allocation Model.

John

Vinay Yadav

Area of Research
Optimization models in environmental systems, Optimization techniques under uncertainty, MADM for environmental systems

I am currently working as a Research Associate at ESRL. I have recently submitted my Ph.D. thesis entitled as Interval Optimization Approach for Solid Waste Management. I have worked under the supervision of Prof. S. Karmakar and Prof A. K. Dikshit for my doctoral degree at IIT Bombay, Mumbai (India). I completed my Bachelors in Mathematics from Banaras Hindu University , Varanasi (India) in 2010, soon after I joined Centre for Environmental Science and Engineering, IIT Bombay to complete my Masters in Environmental Science and Engineering.

My current research domain primarily spans the areas of systems modeling, optimization under uncertainty and applications of multi-attribute decision making (MADM). Systems modeling is used for the conceptualization of real systems (e.g. solid waste management system of urban areas) which can not be comprehended in its entirety. Distinct optimization techniques are often used to bring these models in a decision-making domain. Optimization under uncertainty deals with the systems where the system-parameters or variables cannot be determined accurately for a variety of reasons. In certain such cases, optimal decisions have to be made with two or more conflicting attributes known as MADM problems. Evidently, all the mentioned research fields have a common thread in producing a balanced decision for a systems modeling and optimization problem under uncertain environment. The goal of my dissertation has been to unify these domains to make a balanced decisions by producing a theoretical framework which provides logical steps to solve a systems modeling and optimization problem in a holistic manner. The application of proposed framework is demonstrated on the of a real case study (city of Nashik, India) to find the best locations for municipal solid waste management facilities.

John
Economic feasibility test for transfer stations siting in the city of Nashik.

John

Jitendra Singh

Area of Research
Nonstationary modeling of hydro-climatic extremes; Climate variability and change; Monsoon; Extreme value theory; Data mining and Machine learning.

I am currently an MSc-PhD student at Indian Institute of Technology Bombay in the Centre of Environmental Science & Engineering since 2011. I am working with Prof. Subhankar Karmakar on the "Nonstationary Analysis of Hydro-climatic Extremes". In 2011, I graduated from Dr. Bhimrao Ambedkar University, Agra with a BSc in Mathematics, Physics and Statistics. I am currently working towards understating the influence of regional changes in climate variability.

I am working on the non-stationary analysis of hydro-climatic extremes, particularly on Indian Summer Monsoon Rainfall (ISMR) extremes. I have developed a comprehensive framework for Univariate and Multivariate Nonstationary Frequency Analyses that has been demonstrated over India. This will be useful in understanding the possible impacts of local changes on rainfall extremes and in projecting these changes into the future by considering the feedback of urbanization in climate change projections. The study thus has great relevance in the context of adaptation and policy formulation, especially under the impact of urbanization and climate change in urbanized, urbanizing, and rural areas.

John
Comparison of stationary and nonstationary return periods of AM rainfall intensity for different categories of grids with different levels of urbanization.

John

Tarul Sharma

Area of Research
Hydro-climatology; Agricultural vulnerability; Statistical downscaling

I am a research scholar, pursuing Ph.D. from Interdisciplinary Programme in Climate Studies at the Indian Institute of Technology Bombay, India. I have been working on the topic "Assessing the Impacts of Climate Change on Agricultural Vulnerability: A National scale framework for India" since January 2014, under the joint supervision of Dr. Subhankar Karmakar and Dr. Subimal Ghosh. I did my bachelors in Civil Engineering from the M.S. University of Baroda, Vadodara in 2011 and masters in Remote Sensing and Geographic Information System (GIS) from the Indian Institute of Remote Sensing (ISRO), Dehradun in 2013. My masters research mainly included the estimation of water balance components using satellite derived datasets and hydrological modelling. Having a deep insight in the field of water resources, my major research interest focusses on agro-hydro climatology.

Agriculture is considered to be the prime sector which is going to get hit most adversely in future due to the changing climate. The impact of climate change on agriculture and hydrology of a region requires the use of simulation models to forecast the distribution and extent of change in important variables that governs crop growth and water availability. Hence, it becomes crucial to design a framework for assessing the agricultural risk in future, thus facilitating farmers with adaptation and mitigation to climate change impacts on agriculture and water resources. My Ph.D. research mainly focusses on understanding the present status of agricultural vulnerability over India for the major crops such as rice and wheat, and further implementing the information to study the impacts on agricultural risk to climate change for future scenarios.

John
Uncertainties in projected mean changes for different hydro-climatic variables during monsoon season (June-September) of India.

I am currently a Ph.D. research scholar at Indian Institute of Technology Bombay, in the Centre for Environmental Science and Engineering (CESE) since January 2016. I am working with Prof. Subhankar Karmakar and Prof. Subimal Ghosh on understanding precipitation-flood flow association under changing climate. In 2014, I graduated from Sardar Vallabhbhai Patel University of Agriculture and Technology (SVPUA&T) with B.Tech. degree in Biotechnology and the Vice Chancellor’s Gold Medal Award for outstanding academic accomplishment, where my research included biological data analysis using bioinformatics tools.

Data scarcity in different hydro-meteorological variables, which is persistent over the majority of the Indian River basins, make the quantification of hydrological impacts due to climate change a challenging task. Our research work thus focuses on the development of a framework that improves estimation of flood potential (in terms of inundation) with refined simulations of hydro-meteorological variables using statistical, hydrological and flood modeling tools and models. The major objectives are: (1) To quantify the decadal changes in flood potential at a river-basin scale under changing climate; (2) To observe how the flood inundation is evolving with the changing climate which will facilitate implementation of structural measures, like flood plain zoning/planning under data-scarce situation. Also, my work involves developing flood inundation scenarios under the influence of human induced changes, such as changing landuse-landcover (LULC), reservoir operation, irrigation practices, etc. for an ungauged coastal catchment. I think that all of these scenarios under the effect of natural or human induced changes could be pivotal while devising adaptation/mitigation strategies for better response during hydrological extreme events and I am currently investigating this.

John
Flood hazard mapping for data scarce coastal watershed

John

Mohit Mohanty

Area of Research
Flood modelling, Flood risk analysis

I am currently a PhD. research scholar at Indian Institute of Technology Bombay, in the Centre for Environmental Science and Engineering since 2015. I am working with Prof. Subhankar Karmakar and Prof. Subimal Ghosh on the topic of "A Comprehensive mapping of flood risk under changing climate". In 2011, I graduated from Institute of Technical Education and Research in Civil Engineering, where my research included "Seismic Analysis and Design of g+5 storied building using STAAD PRO and AUTO CAD". After UG college, I joined IIT Guwahati as a Masters student in the stream of Environmental Engineering, where my research was focused towards "Studies on effects of phenol and nitrate on Sulfate reduction by mixed microbial culture" under supervision of Prof. Pranab Kumar Ghosh. I am currently working on developing a framework for estimating and mapping the current and future flood risk through a combination of statistical approaches and hydrodynamic flood modeling.

The current and future risk associated with flooding in India is gaining significance, with increasing urbanization and climate change. In order to address this issue, I am trying to propose a comprehensive framework for flood risk mapping, which will consider both observed and projected distributed rainfall information for flood modeling and the social vulnerability. An effort through various processes and algorithms has been achieved for obtaining various critical inputs to flood risk mapping under a data scarce situation. The proposed framework is being demonstrated for Jagatsinghpur district situated in the Lower Mahanadi Basin, India, which is adjudged as one of the severely flood prone areas. A Flood Risk Mapping System for disaster management is proposed to be developed as the final outcome of the research, which can map the flood risk for the entire study area. The reported framework is very generic, which may be implemented for all flood prone river basins in India, facilitating disaster mitigation (and adaptation) through flood risk reduction.

John
A representative Bivariate flood risk map for Jagatsingpur district, Odisha, India

John

Pratiman Patel

Area of Research
Numerical Weather Prediction, Extreme precipitation forecast, Land surface feedback, Remote sensing, Hydrological Modelling

I am currently a PhD. research scholar at Indian Institute of Technology Bombay, in the IDP in Climate Studies since 2015. I am working with Prof. Subhankar Karmakar and Prof. Subimal Ghosh on the topic of "Rainfall Forecasting through Regional Weather Modelling: An Application to Near Real-Time Flood Forecasting". In 2013, I graduated from College of Agricultural Engineering in Agricultural Engineering, where my research included "Land use/ Land Cover change detection of Jabalpur block using remote sensing and GIS". During my graduation I had also worked at Water Resources Department, Indian Institute of Remote Sensing, India where my research work included "Selection of potential sites for water harvesting structure in Jabalpur district using remote sensing & GIS". For post graduation, I joined Indian Institute of Remote Sensing, Dehradun , as a Masters student in the stream of Remote Sensing and GIS with specialization in Water Resources, where my research was focused towards "Flood Simulation using Weather Forecast and Hydrological Models " under supervision of Dr. S. P. Aggarwal and Dr. Praveen K. Thakur. I am currently working on rainfall forecasting through regional weather modelling which will be applied to near real time flood forecasting system.

Increased occurrences of urban flash flood pose a major threat to the life and property of the residents, which urges for a reliable flood forecasting system. However, accurate precipitation forecast at high resolution has always been a challenge as they are substantially affected by land use/ land cover (LULC). Therefore, to improve the forecast of extreme precipitation event detailed urban LULC map is being used. It is generated using Local Climate Zone (LCZ) classification system from World Urban Database and Access Portal Tools (WUDAPT). These LCZs represent specific land cover class based on urban morphology characteristics and can be used in Weather Research and Forecasting (WRF) model. The study is conducted for megacity Mumbai, the financial capital of India, which possesses significant heterogeneity in its building types.

John
Urban Land Use/ Land Cover of Deafult WRF (left) and LCZ Urban Classes (right) of Mumbai, India

John

Mousumi Ghosh

Area of Research
Rainfall-Runoff modeling, Flood Hazard and risk mapping, Flood forecasting

I am Mousumi Ghosh, currently a Ph.D student at IIT Bombay in the department of Interdisciplinary Program in Climate Studies since December 2016. I am working with Prof. Subhankar Karmakar on the topic "Flood forecasting for Mithi River catchment, Mumbai using 3-way coupled approach with MIKE model". In 2014, I graduated from Veer Surendra Sai Institute of Technology, Burla with B.Tech in Civil Engineering Department. After UG college, I joined National Institute of Technology, Rourkela with M.Tech in Water resources engineering specialization of Civil Engineering Department, where my research included Impact of Land use/Land cover change on rainfall runoff modeling for Subarnarekha river basin under supervision of Prof. K.C. Patra. I am currently working towards development of a Three-way coupled framework for Urban flood plain analysis and flood forecasting.

I am presently working towards developing a three-way coupled framework for the Mithi catchment, Mumbai to model the flood inundation scenario over the region for high rainfall events. The model incorporates three components, namely the channel, overland and the drainage flows. This model has been implemented to generate flood inundation maps for the areas for two cases, (1) station level observed precipitation data (2) forecasted precipitation data simulated by the Weather Research Forecasting model. The maps will be compared to see the extent to which the WRF forecasted data is able to capture the flooding scenario generated by the observed station level data. This model will be helpful in Real time flood forecasting for Mithi catchment during extreme precipitation events.

John
Flood hazard map for Automatic Weather Station recorded data for high precipitation event of 2017 [28.08.2017-29.08.2017]

John

Naveen Sudharsan

Area of Research
Statistical Analysis, Climate change

I am currently a PhD student at Indian Institute of Technology, Bombay, in the Centre for Environmental Science and Engineering since January 2018. I am working with Prof. Subhankar Karmakar on the "Impacts of climate change on human health risks". Before starting at IIT Bombay in the fall of 2017, I worked for 1.5 years in different institutes affiliated to Kerala Technological University. In 2013, I graduated from Mahatma Gandhi University, Kottayam with a Bachelor of Technology degree in Civil Engineering. After BTech, I joined Visvesvaraya National institute of Technology, Nagpur for MTech in Water Resources Engineering, where my research was on hydraulic jump under the supervision of Dr. A.D Vasudeo.

I am currently working towards the correlation of human health risks to the climate change phenomenon.


John

Sahil Mudgil

Area of Research
Statistical analysis, Hydrodynamic modelling, Flood management, Flood frequency analysis

I am currently a M.Sc. student at Indian Institute of Technology, Bombay, in the Centre for Environmental Science and Engineering since July 2016 . I am working with Prof. Subhankar Karmakar on the ‘Development of real-time flood inundation forecasting system based on library of pre-simulated scenarios'. In 2016, I graduated from Post Graduate Government College, Chandigarh with a Bachelor of Science degree with major in Physics, Mathematics and Computer Science, where my academic interests included high energy particle physics, quantum physics, atmospheric science, flow based programming. I am currently working towards developing a computational framework for real-time flood forecasting based on pre-simulated inundation scenario library which will have significantly shorter lead time and decent accuracy.

Hydrodynamic models are prominently used for flood extent mapping. The models have grown to be pretty accurate with time. But, there application for real-time flood forecast is limited because of the longer model run-time. But, a pre-simulated inundation map library based forecasting system can overcome this limitation and hence can be used as a working system. It provides us the freedom to consider high resolution topographic data as well as best modelling approach irrespective of the computation time. Hence, currently it’s application is being tested for Indian scenario.

John
Chennai flood inundation map

PUBLICATIONS

V Yadav, S Karmakar, AK Dikshit, AK Bhurjee,2018, Interval-valued facility location model: An appraisal of municipal solid waste management system, Journal of Cleaner Production, 171, 250-263

S Paul, S Ghosh, M Mathew, A Devanand, S Karmakar, D Niyogi,2018, Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization, Scientific reports, 8, 13918-3918

H Mishra, S Karmakar, R Kumar,2018, A Systematic Development of Uncertainty Modeling in the Assessment of Health Risk to Environmental Contaminants, Environmental Contaminants, 195-207

H Mishra, S Karmakar, R Kumar, P Kadambala,2018, A long-term comparative assessment of human health risk to leachate-contaminated groundwater from heavy metal with different liner systems, Environmental Science and Pollution Research, 25, 32911-2923


S Singh, S Ghosh, AS Sahana, H Vittal, S Karmakar,2017, Do dynamic regional models add value to the global model projections of Indian monsoon?, Climate Dynamics 48 (3-4), 1375-1397

V Yadav, S Karmakar,2017, Uncertainty modelling and decision science for water resources and environmental systems, Sustainable Holistic Water Resources Management in a Changing Climate, 24.1-24.12

PP Kalbar, M Birkved, S Karmakar, SE Nygaard, M Hauschild,2017, Can carbon footprint serve as proxy of the environmental burden from urban consumption patterns?, Ecological Indicators, 74, 109-118

H Mishra, S Karmakar, R Kumar, J Singh,2017, A framework for assessing uncertainty associated with human health risks from MSW landfill leachate contamination, Risk Analysis, 37, 71237-1255

V Yadav, AK Bhurjee, S Karmakar, AK Dikshit,2017, A facility location model for municipal solid waste management system under uncertain environment, Science of the Total Environment, 603, 760-771

A Devanand, S Ghosh, S Paul, S Karmakar, D Niyogi,2017, Multi-ensemble regional simulation of Indian monsoon during contrasting rainfall years: role of convective schemes and nested domain, Climate Dynamics, 1-21

K Shashikanth, S Ghosh, H Vittal, S Karmakar,2017, Future projections of Indian summer monsoon rainfall extremes over India with statistical downscaling and its consistency with observed characteristics, Climate Dynamics,1-15

MP Mohanty, S Karmakar, S Ghosh,2017, An exhaustive approach for identification of flood risk hotspots in data poor regions enforcing combined geomorphic and socio-economic indicators, AGU Fall Meeting Abstracts

MP Mohanty, T Sharma, S Ghosh, S Karmakar,2017, Assessing the Impacts of Decadal Socio-Agro-Hydro Climatic Variations on Agricultural Vulnerability over India, AGU Fall Meeting Abstracts

J Singh, D Paimazumder, MP Mohanty, S Ghosh, S Karmakar,2017, Urbanization Induces Nonstationarity in Extreme Rainfall Characteristics over Contiguous United States, AGU Fall Meeting Abstracts

S Singh, S Ghosh, S Karmakar,2017, Performance of CORDEX-Evaluation Simulations for Indian Summer Monsoon under Non-Stationary Climate, EGU General Assembly Conference Abstracts, 19, 3108-3108

J Singh, S Sekharan, S Karmakar, S Ghosh, PE Zope, TI Eldho,2017, Spatio-temporal analysis of sub-hourly rainfall over Mumbai, India: Is statistical forecasting futile?, Journal of Earth System Science, 126, 338-38

H Shastri, S Ghosh, S Karmakar,2017, Improving Global Forecast System of extreme precipitation events with regional statistical model: Application of quantile‐based probabilistic forecasts, Journal of Geophysical Research: Atmospheres, 122, 31617-1634

T Sharma, H Vittal, S Chhabra, K Salvi, S Ghosh, S Karmakar,2017, Understanding the cascade of GCM and downscaling uncertainties in hydro‐climatic projections over India, International Journal of Climatology, 38, 178-190

P Kalbar, M Birkved, S Karmakar, SE Nygaard, MZ Hauschild,2017, Carbon Footprint: Can it be used as a proxy for representing environmental sustainability of urban consumption?, ISIE 2017: Science for Sustainable and Resilient Communities.


S Ghosh, H Vittal, T Sharma, S Karmakar, KS Kasiviswanathan, Y Dhanesh, KP Sudheer, SS Gunthe,2016, Indian summer monsoon rainfall: implications of contrasting trends in the spatial variability of means and extremes, PloS one, 11, 7158670-

V Yadav, S Karmakar, AK Dikshit, S Vanjari,2016, A feasibility study for the locations of waste transfer stations in urban centers: a case study on the city of Nashik, India, Journal of Cleaner Production, 126, 191-205

PP Kalbar, S Karmakar, SR Asolekar,2016, Life cycle-based decision support tool for selection of wastewater treatment alternatives, Journal of Cleaner Production, 117, 64-72

H Vittal, S Ghosh, S Karmakar, A Pathak, R Murtugudde,2016, Lack of dependence of Indian Summer Monsoon Rainfall extremes on temperature: An observational evidence, Scientific reports, 6, 31039-31039

H Mishra, M Rathod, S Karmakar, R Kumar,2016, A framework for assessment and characterisation of municipal solid waste landfill leachate: an application to the Turbhe landfill, Navi Mumbai, India, Environmental monitoring and assessment, 188, 6357-357

J Singh, H Vittal, S Karmakar, S Ghosh, D Niyogi,2016, Urbanization causes nonstationarity in Indian Summer Monsoon Rainfall extremes, Geophysical Research Letters, 43, 11269-11277

V Varekar, S Karmakar, R Jha,2016, Seasonal rationalization of river water quality sampling locations: a comparative study of the modified Sanders and multivariate statistical approaches, Environmental Science and Pollution Research, 23, 32308-2328

V Yadav, S Karmakar, AK Dikshit, S Vanjari,2016, Transfer stations siting in India: A feasibility demonstration Waste Management, 47, I-IV

V Yadav, S Karmakar, AK Dikshit, S Vanjari,2016, A Facility Location Model for MSW Management Systems under Uncertainty: A Case Study of Nashik City, India, Procedia Environmental Sciences, 35, 90-100

T Sharma, H Vardhan Murari, S Karmakar, S Ghosh, J Singh,2016, Assessing the Agricultural Vulnerability for India under Changing Climate, EGU General Assembly Conference Abstracts, 18, 153-153

J Singh, V Hari, T Sharma, S Karmakar, S Ghosh,2016, Signature of Nonstationarity in Precipitation Extremes over Urbanizing Regions in India Identified through a Multivariate Frequency Analyses, EGU General Assembly Conference Abstracts, 18, 155-155

H Mishra, S Karmakar, R Kumar,2016, An Integrated Probabilistic-Fuzzy Assessment of Uncertainty Associated with Human Health Risk to MSW Landfill Leachate Contamination, AGU Fall Meeting Abstracts

J Singh, S Karmakar, S Ghosh, S Simonovic, A Gusain,2016, Identification of Dominant Flood Drivers across Canada, AGU Fall Meeting Abstracts

G Ristić, A Đordević, S Hristov, A Petković, OT Iorhemen, TK Kwadzah, SO Enokela, V Yadav, S Karmakar, AK Dikshit, S Vanjari,2016, A Glance at the World, Waste Management, 47, I-IV


H Shastri, S Paul, S Ghosh, S Karmakar,2015, Impacts of urbanization on Indian summer monsoon rainfall extremes, Journal of Geophysical Research: Atmospheres, Pub. AGU (Wiley), 120, 2496-516

H Vittal, J Singh, P Kumar, S Karmakar,2015, A framework for multivariate data-based at-site flood frequency analysis: Essentiality of the conjugal application of parametric and nonparametric approaches, Journal of Hydrology, Pub. Elsevier, 525, 658-675

MA Sherly, S Karmakar, D Parthasarathy, T Chan, C Rau,2015, Disaster vulnerability mapping for a densely populated coastal urban area: an application to Mumbai, India, Annals of the Association of American Geographers, 105, 61198-1220

PP Kalbar, S Karmakar, SR Asolekar,2015, Selection of wastewater treatment alternative: significance of choosing MADM method, Environmental Engineering & Management Journal (EEMJ), 14(5), 1011-1020

V Varekar, S Karmakar, R Jha, NC Ghosh,2015, Design of sampling locations for river water quality monitoring considering seasonal variation of point and diffuse pollution loads, Environmental Monitoring and Assessment, Pub. Springer, 187, 61-26

MA Sherly, S Karmakar, T Chan, C Rau,2015, Design Rainfall Framework Using Multivariate Parametric-Nonparametric Approach, Journal of Hydrologic Engineering, ASCE, 4015049, 1-17

J Singh, H Vittal, T Singh, S Karmakar, S Ghosh,2015, A framework for investigating the diagnostic trend in stationary and nonstationary flood frequency analyses under changing climate, Journal of Climate Change 1, 47-65

T Sharma, S Chhabra Jr, S Karmakar, S Ghosh,2015, Understanding The Individual Impacts Of Human Interventions And Climate Change On Hydrologic Variables In India, AGU Fall Meeting Abstracts

T Sharma, HV Murari, S Karmakar, S Ghosh, NK Soora,2015, Understanding the Propagation of GCM and Downscaling Uncertainty for Projecting Crop Yield: A Nationwide Analysis over India, AGU Fall Meeting Abstracts

A Gusain, MP Mohanty, S Karmakar, S Ghosh,2015, Assessment of future change in streamflow through identification of its association with precipitation in Mahanadi Basin, India under data scarce scenario, AGU Fall Meeting Abstracts

T Sharma, S Chhabra, S Karmakar, S Ghosh, K Salvi,2015, Assessing the Uncertainty in Downscaling Approaches using Hydrological Model, European Geosciences Union (EGU) General Assembly 2015, Vienna, Austria

S Chhabra, T Sharma, S Karmakar, S Ghosh,2015, Understanding the Individual Impacts of Land Use Land Cover (LULC) and Climate Change on hydrologic variables in India, European Geosciences Union (EGU) General Assembly 2015, Vienna, Austria

V Yadav, H Mishra, S Karmakar, AK Dikshit,2015, Feasibility Study of Transfer Stations Siting: A Case Study on City of Nashik, IndiaIn: Fifteenth International Waste Management and Landfill Symposium S. Margherita di Pula, Cagliari, Italy held on 5 - 9 October 2015.

H Mishra, V Yadav, S Karmakar, R Kumar,2015, Quantification of Human Health Risk to MSW Landfill Leachate Contamination under Uncertainty: An Application to the Turbhe landfill, Navi Mumbai, India.Fifteenth International Waste Management and Landfill Symposium S. Margherita di Pula”, Cagliari, Italy held on October 5-9, 2015


MO Mavukkandy, S Karmakar, PS Harikumar,2014, Assessment and rationalization of water quality monitoring network: a multivariate statistical approach to the Kabbini River (India), Environmental Science and Pollution Research, 21, 1710045-10066

PP Kalbar, S Karmakar, SR Asolekar,2014, Life cycle-based environmental assessment of municipal wastewater treatment plant in India, International Journal of Environment and Waste Management, 14, 184-98

TD Nalamutt, S Karmakar,2014, Modeling impreciseness of trophic state levels for eutrophication assessment, J Clean Energy Technol, 2, 140-144

S Singh, K Salvi, S Ghosh, S Karmakar,2014, Projections of Active and Break Spells of the Indian Summer Monsoon using Original and Statistical Downscaled CMIP5 GCMs, AGU Fall Meeting Abstracts

J Singh, S Karmakar, S Ghosh,2014, Evidences of Significant Nonstationarity in Precipitation Extremes over Urbanizing Areas in India, AGU Fall Meeting Abstracts

J Singh, S Karmakar, S Ghosh,2014, Dependence of Precipitation Extremes on Temperature over United States, AGU Fall Meeting Abstracts

R Kumar, JK Lal, A Kumar, BK Agrawal, S Karmakar,2014, Effect of Different Sources and Levels of Sulphur on Yield, S Uptake and Protein Content in Rice and Pea Grown in Sequence on an Acid Alfisol, Journal of the Indian Society of Soil Science, 62, 2140-143

S Karmakar,2014, Advanced Hydrology, National Programme on Technology Enhanced Learning (NPTEL)


PP Kalbar, S Karmakar, SR Asolekar,2013, Assessment of wastewater treatment technologies: life cycle approach, Water and Environment Journal, 27, 2261-268

H Vittal, S Karmakar, S Ghosh,2013, Diametric changes in trends and patterns of extreme rainfall over India from pre‐1950 to post‐1950, Geophysical Research Letters, 40, 123253-3258

PP Kalbar, S Karmakar, SR Asolekar,2013, The influence of expert opinions on the selection of wastewater treatment alternatives: a group decision-making approach, Journal of environmental management, 128, 844-851

M Rathod, H Mishra, S Karmakar,2013, Leachate Characterization and Asse ssment of Water Pollution near Municipal Solid Waste Landfill Site, International Journal of Chemical and Physical Sciences 2 (Special Issue)

I Alameddine, S Karmakar, SS Qian, HW Paerl, KH Reckhow,2013, Optimizing an estuarine water quality monitoring program through an entropy‐based hierarchical spatiotemporal Bayesian framework, Water Resources Research, 49, 106933-6945

MA Sherly, S Karmakar, T Chan, C Rau,2013, Regional depth-duration-frequency curves for Mumbai City, 6th Int. Conf. on Water Resources and Environmental Research

J Singh, T Singh, H Vittal, S Karmakar,2013, Nonstationary frequency estimation of flood extremes, Proc. of Hydro, 12, 4-6

S Karmakar, OM Musthafa,2013, Lakes and Reservoirs: Pollution, Encyclopedia of Environmental Management


PP Kalbar, S Karmakar, SR Asolekar,2012, Selection of an appropriate wastewater treatment technology: a scenario-based multiple-attribute decision-making approach, Journal of environmental management, 113, 158-169

PP Kalbar, S Karmakar, SR Asolekar,2012, Technology assessment for wastewater treatment using multiple-attribute decision-making, Technology in Society, 34, 4295-302

PP Kalbar, S Karmakar, SR Asolekar,2012, Estimation of environmental footprint of municipal wastewater treatment in India: life cycle approach, Proceedings of International Conference on a Environmental Science and Technology, 30, 30-34

V Hari, S Karmakar, S Ghosh,2012, Detection of Spatio-temporal variations of rainfall and temperature extremes over India, AGU Fall Meeting Abstracts

TB Kurwattia, S Karmakar,2012, Development of Modified Trophic State Index for Lakes, International Journal of Global Technology Initiatives 1, 71-78


S Karmakar,2011, Propagation of uncertainties in water distribution systems modeling, Desalination and Water Treatment 33, 107-117


S Hallegatte, F Henriet, A Patwardhan, K Narayanan, S Ghosh, et al. 2010, Flood risks, climate change impacts and adaptation benefits in Mumbai: an initial assessment of socio-economic consequences of present and climate change induc..., OECD Environment Working Papers, 27, 0-1

S Karmakar, SP Simonovic, A Peck, J Black,2010, An Information System for Risk-Vulnerability Assessment to Flood., J. Geographic Information System, 2, 3129-146

MP Kumar, PR Shankar, K Subhankar,2010, Infrastructure Vulnerability Assessment of Mumbai City to Natural Hazards, Disaster Advances, 3, 27-17


S Karmakar, SP Simonovic,2009, Bivariate flood frequency analysis. Part 2: a copula‐based approach with mixed marginal distributions, Journal of Flood Risk Management, 2, 132-44

S Karmakar,2009, Grey optimization for uncertainty modeling in water resources systems, 20336

S Karmakar, PP Mujumdar,2009, Advances of Grey optimization in water quality management, ISH Journal of Hydraulic Engineering, 15, 1-24


S Karmakar, SP Simonovic,2008, Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques, Journal of Flood Risk Management, 1, 4190-200

PP Mujumdar, S Karmakar,2008, Grey fuzzy multi-objective optimization, Fuzzy multi-criteria decision making, 453-482

S Karmakar, SP Simonovic,2008, Bivariate flood frequency analysis using copula with parametric and nonparametric marginals, 4th International symposium on flood defence, Toronto, Ontario


S Karmakar, PP Mujumdar,2007, A two-phase grey fuzzy optimization approach for water quality management of a river system, Advances in Water Resources, 30, 51218-1235

S Karmakar, SP Simonovic,2007, Flood frequency analysis using copula with mixed marginal distributions, Department of Civil and Environmental Engineering, The University of Western Ontario.

A Peck, S Karmakar, SP Simonovic,2007, Physical, Economical, Infrastructural and Social Flood Risk--Vulnerability Analyses in GIS, Department of Civil and Environmental Engineering, The University of Western Ontario.

J Black, S Karmakar, SP Simonovic,2007, A Web-based Flood Informat ion System, Department of Civil and Environmental Engineering, The University of Western Ontario.


S Karmakar, PP Mujumdar,2006, Grey fuzzy optimization model for water quality management of a river system, Advances in Water Resources, 29, 71088-1105

S Karmakar, PP Mujumdar,2006, An inexact optimization approach for river water-quality management, Journal of environmental management, 81, 3233-248


S Karmakar, PP Mujumdar,2005, Grey fuzzy multiobjective optimization model for river water quality management Allied Publishers Private Limited, New Delhi, 923-931


PP Mujumdar, S Vedula, S Karmakar, P Manavalan, PP Nageshwara Rao,2004, Irrigation water allocation in canal command areas, ISH Journal of Hydraulic Engineering, 10, 133-47

S Karmakar, PP Mujumdar,2004, Uncertainty in fuzzy membership functions for a river water quality management problem, Hydroinformatics, 2, 1507-1514

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OPPORTUNITIES

  • Masters Students
  • Masters students of Centre for Environmental Science & Engineering with keen interest in environmental systems modeling are encouraged to join ESRL. Masters researchers are generally paired with doctoral students; however they are expected to work independently and make novel contributions through their own research work. Applicants are suggested to contact Prof. Karmakar before applying.

  • Doctoral Students
  • Motivated students with valid GATE/UGC/CSIR/others score are encouraged to apply in the following research domains: (1) Water quality monitoring and management; (2) Analysis of hydro-climatic extremes and flood management; (3) Mapping of risk and vulnerability to agro-hydro-climatic systems; (4) Uncertainty modeling and decision science for environmental systems. Applicants are strongly encouraged to contact Prof. Karmakar before applying.

  • Postdoctoral Students
  • We always consider outstanding postdoctoral applications in ongoing research areas. The applicant must be a proficient programmer (e.g. Python, R, Perl, C++, Matlab) and keen interest in environmental systems modeling. The applicant must hold a PhD degree in environmental engineering or a relevant area. While submitting a host request for a position to Prof. S. Karmakar, please mention the project you wish to work.

CONTACT

IIT Bombay, Mumbai, India

Phone: +91 22 25767857

Email: skarmakar@iitb.ac.in


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