Department of Civil Engineering

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Author: search.filters.author.Singh, Ajit PratapEnd date: 2009

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Now showing 1 - 8 of 8
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    Software quality factor evaluation using Fuzzy multi-criteria approach
    (IICAI, 2009) Singh, Ajit Pratap; Raghurama, G.
    An innovative software development for any decision making process is very important and challenging particularly when large software projects are analyzed. It becomes even more sophisticated while dealing with uncertainty and vagueness involved in such development process. The present paper proposes a fuzzy multi-criteria decision-making approach to deal with the uncertainty and vagueness involved due to subjective perception and experience of decision makers involved in the process of software development. As developing high-quality software within the allotted time and budget is a key element for a productive and successful software project, the quality factors are evaluated separately in this study using fuzzy multi-criteria decision approach and the estimates are combined to obtain the preference degree of each software development project giving alternatives to select the most appropriate one
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    Uncertainty Analysis in River Basin Water Quality Management
    (Jain Brothers, 2004-01) Singh, Ajit Pratap
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    Conceptual Modeling and Management of Water Quality in a River Basin
    (Capital Books, 2003-01) Singh, Ajit Pratap
    The paper presents a systematic methodology to predict the dissolved oxygen (DO) concentration in a river under fast purification by considering both the dispersion and sedimentation effects. The model evaluates coefficient of reaeration and deoxygenation through simulation analysis and then DO concentration at any point in a reach of the river is calculated. The model does not require a prior knowledge of the initial DO deficit at the top of every intermediate reach. Taking a case study of Delhi stretch of river Yamuna where BOD removal rates are seen to be higher than the normal rates, BOD and DO deficit occurring at a point in different reaches is predicted and compared with the observed values which is followed by important model-development tasks like calibration, verification and sensitivity analysis. The model will help to predict the future DO concentration and BOD to monitor the river water quality and to set up the efficient and optimum wastewater treatment facilities
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    Use of an Optimization Model for River Basin Planning
    (Himanshu Publications, 2007) Singh, Ajit Pratap
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    Design of Water Distribution Systems Using Genetic Algorithm
    (2005-01) Singh, Ajit Pratap
    This paper approaches an optimization model for design of water distribution networks, which involves the application of Genetic Algorithms (GA). Genetic algorithm works on the random selection from pool of all solutions and proceeds to the optimum solutions based on mainly three operators, which are reproduction, crossover and mutation. Genetic algorithm implements an effective search for all the linear and non-linear optimization problems and that’s why it has been accepted among the water resource planners and managers. In this paper, Genetic algorithm is implemented in its simplest form with some additional features that were found to be effective in network optimization to find optimal pipe diameters of a network with a minimum cost. Finally, the paper demonstrates the technique of formulation and methodology by an existing problem of water distribution network, which is taken from the literature
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    Water quality management of a stretch of river Yamuna: An interactive fuzzy multi-objective approach
    (Springer, 2006-07-08) Singh, Ajit Pratap; Sharma, Pankaj
    This paper presents an Interactive Fuzzy Multi-Objective Linear Programming (IFMOLP) model for water quality management in a river basin. The IFMOLP model formulated will first evaluate dissolved oxygen (DO) concentrations or DO deficits at a point in different reaches depending on the overall Biochemical Oxygen Demand (BOD) concentration present in the respective drain. Subsequently, the model incorporates the aspirations and conflicting objectives of the decision maker (DM) by taking into consideration the aspects relevant for pollution control boards as well as dischargers responsible for generating wastewater. The uncertainty associated with specifying the water quality criteria (based on DO concentration or DO deficit) and treatment cost to remove pollution level is incorporated by interacting the decision maker. In this process DM is asked to specify the reference aspiration levels of achievement for the values of all membership functions generated with respect to each objective. This provides flexibility for the pollution control authorities and dischargers to specify their aspirations. IFMOLP model developed herein is then used in a case study for the evaluation of optimal BOD removal in different drains located across the river Yamuna at New Delhi, India. The presented model will simulate the allocation of waste load efficiencies with satisfactory results which will indicate usefulness of the model in managing more complex river basins along with better flexible policies of water management.
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    OPTIMAL ALLOCATION OF LANDFILL DISPOSAL SITE: A FUZZY MULTI-CRITERIA APPROACH
    (Bioline International,, 2008) Singh, Ajit Pratap
    The arbitrary disposal through land-fill sites and also the unscientific management of solid wastes generated by domestic, commercial and industrial activities leading to serious problems of health, sanitation and environmental degradation in India demand an immediate proper solid waste disposal planning otherwise it may cause a serious problem, especially in small and medium-sized cities/towns if proper steps are not initiated now. The present paper aims to develop decision support systems to allocate the best landfill disposal site among the given alternative sites for Vidya Vihar, Pilani, Rajasthan, India. The technique is applied to determine the overall strategy for planning of solid waste disposal and management, while taking into account its environmental impact, as well as economical, technical and sustainable development issues. The model effectively reflects dynamic, interactive, and uncertain characteristics of the solid waste management system and provides decision-makers with a decision tool to make a better decision while choosing a municipal solid waste management strategy.