Books by Pradeep Mujumdar
Because of a demand for the book from students and teachers, we are making this book open acces... more Because of a demand for the book from students and teachers, we are making this book open access now; we have obtained the copyrights back from the original publishers; all copyrights rest with us (the authors, S Vedula and P P Mujumdar) now.
We will soon bring out a second edition of the book adding chapters on more recent tools. That edition will be open access too.
Hydrologic modeling of floods enables more accurate assessment of climate change impacts on flood... more Hydrologic modeling of floods enables more accurate assessment of climate change impacts on flood magnitudes and frequencies. This book synthesizes various modeling methodologies available to aid planning and operational decision making, with emphasis on methodologies applicable in data scarce regions, such as developing countries. Topics covered include: physical processes which transform precipitation into flood runoff, flood routing, assessment of likely changes in flood frequencies, and magnitudes under climate change scenarios, and use of remote sensing, GIS, and DEM technologies in modeling of floods to aid decision making.
Papers by Pradeep Mujumdar
ISH Journal of Hydraulic Engineering, 2008
ABSTRACT The paper presents an overview of the methodologies developed for assessing hydrologic i... more ABSTRACT The paper presents an overview of the methodologies developed for assessing hydrologic impacts of climate change with an emphasis on statistical techniques for regional impact assessment and modelling of uncertainty, resulting from the use of multiple climate models. The methodologies are demonstrated with the case study of Orissa meteorological subdivision and Mahanadi river basin which shows a possible decreasing trend in rainfall and monsoon streamflow of the region in future.
Uncertainty associated with fuzzy membership functions for a water quality management problem is ... more Uncertainty associated with fuzzy membership functions for a water quality management problem is addressed through interval grey numbers. The lower and upper bounds of the membership functions are expressed as interval grey numbers, and the membership functions are modeled as imprecise membership functions. A grey fuzzy optimization model for water quality management of a river system is developed. Application of the optimization model with imprecise membership functions is illustrated with a hypothetical river system.
ISH Journal of Hydraulic Engineering, 2009
ABSTRACT Uncertainty analysis plays a major role in a water quality management problem to establi... more ABSTRACT Uncertainty analysis plays a major role in a water quality management problem to establish a proper decision scheme, as most input parameters in any realistic system are inherently uncertain. Modeling of some uncertain parameter in the optimization model is not possible through conventional probabilistic or fuzzy approach, because of inadequacy of data to estimate probability distribution and lack of information to precisely define the membership function, but can be modeled considering them as interval grey numbers in a grey or inexact optimization framework. This paper provides a description of grey optimization techniques for water quality management with in a stream. A pre-requistie background on grey systems, along with preliminary definitions is provided. Formulations of various grey optimization models to plan waste load allocation for water quality management system are presented. Perspectives on scope for further research are also presented.
Water Resources Research, 2010
1] Regional impacts of climate change remain subject to large uncertainties accumulating from var... more 1] Regional impacts of climate change remain subject to large uncertainties accumulating from various sources, including those due to choice of general circulation models (GCMs), scenarios, and downscaling methods. Objective constraints to reduce the uncertainty in regional predictions have proven elusive. In most studies to date the nature of the downscaling relationship (DSR) used for such regional predictions has been assumed to remain unchanged in a future climate. However, studies have shown that climate change may manifest in terms of changes in frequencies of occurrence of the leading modes of variability, and hence, stationarity of DSRs is not really a valid assumption in regional climate impact assessment. This work presents an uncertainty modeling framework where, in addition to GCM and scenario uncertainty, uncertainty in the nature of the DSR is explored by linking downscaling with changes in frequencies of such modes of natural variability. Future projections of the regional hydrologic variable obtained by training a conditional random field (CRF) model on each natural cluster are combined using the weighted Dempster-Shafer (D-S) theory of evidence combination. Each projection is weighted with the future projected frequency of occurrence of that cluster ("cluster linking") and scaled by the GCM performance with respect to the associated cluster for the present period ("frequency scaling"). The D-S theory was chosen for its ability to express beliefs in some hypotheses, describe uncertainty and ignorance in the system, and give a quantitative measurement of belief and plausibility in results. The methodology is tested for predicting monsoon streamflow of the Mahanadi River at Hirakud Reservoir in Orissa, India. The results show an increasing probability of extreme, severe, and moderate droughts due to climate change. Significantly improved agreement between GCM predictions owing to cluster linking and frequency scaling is seen, suggesting that by linking regional impacts to natural regime frequencies, uncertainty in regional predictions can be realistically quantified. Additionally, by using a measure of GCM performance in simulating natural regimes, this uncertainty can be effectively constrained.
This paper presents perceptions of the author on assessment of quality of research in the water s... more This paper presents perceptions of the author on assessment of quality of research in the water sector in the country, identifies areas where improvements are necessary and provides a list of reforms to ensure a quality improvement in R&D in the water sector.
The Policy Research Working Paper Series disseminates the findings of work in progress to encoura... more The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The ...
Uploads
Books by Pradeep Mujumdar
We will soon bring out a second edition of the book adding chapters on more recent tools. That edition will be open access too.
Papers by Pradeep Mujumdar
We will soon bring out a second edition of the book adding chapters on more recent tools. That edition will be open access too.
http://nptel.iitm.ac.in/courses/105108079/
Feedback is most welcome.