Browsing by Author "Kumar, Gaurav"

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    Assessment of sustainability index for rural water management using ANN
    (IWA, 2022) Gupta, Rajiv; Kumar, Gaurav
    The current study proposes a sustainability index (SI) measure based on artificial neural networks (ANN) and globally accepted parameters. Some of the available methods for SI measurement are multi-criteria analysis, external costs, energy analysis, and ecological footprint methods. However, validity remains a concern due to a system's needs, criteria, and requirements. Generally, sustainability is assessed in economic, environmental, and social issues, which varies across regions and countries. Most of the studies accept sub-indices but to a limited extent. Therefore, the proposed study develops an SI evaluation method based on the idea of multi-sustainability incorporating operations, institutions, risks, and climate factors besides economic, environmental, and social issues. All these issues might not be applicable to a single project but may help to develop a complete index when applied. The present study considered different scenarios in building a method to calculate SI using ANN. The results obtained by the ANN model for various input parameters helped to identify the best water conservation strategy. Sensitivity analysis was also performed to determine the uncertainty contribution/significance of the input variables for the water scarcity in the study region. The developed model in the study is tested on a rural water management system.
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    Methodologies of Scenario Development for Water Resource Management
    (CRC Press, 2022) Gupta, Rajiv; Kumar, Gaurav
    Efficient management of the resources requires applying scenario development, which helps manage future needs and available resources with lesser difficulties. In this chapter, one of the most vital sources for life, water resources, has been reviewed for the various methodologies and modelling approaches adopted in its scenario development. Scenarios have been planned considering different possibilities incorporating various water balance models, climate models, prediction, and simulation methods. All the methods encountered are either predictive or derivative for the predicted values. Predictions are carried out either by hybridizing the methods or in isolation, but ultimately require derivative models to generate the results. Encountered methods are found complex having rigorous prediction processes. Further directions are suggested (1) to make more straightforward and more uncomplicated prediction methods with the principle to make science for all; and (2) empowering Geographic Information System for predicting future besides presentation and analysis
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    Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction
    (Emerald, 2021-09-13) Gupta, Rajiv; Kumar, Gaurav
    There are several methods developed in the recent past to predict the spread of COVID-19 in different countries. However, due to changing scenarios in terms of interaction among people, none could predict the case close to the actual figures. An attempt to simulate people's interaction due to economic reopening concerning the confirmed cases at various places as per changing situation has been made. The scenario development method's base lies in the hypothesis that if there were no inter-state transportation during India's lockdown after May 24th, the number of infection cases would have started lowering down in a normalized progression.