Department of Civil Engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1927

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Author: search.filters.author.Gupta, RajivSubject: search.filters.subject.Geographical Information System (GIS)

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Now showing 1 - 6 of 6
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    State of the Art for Integrating Modern Technologies to Develop a Sustainable Water Management Model
    (AnKa Publisher, 2022) Gupta, Rajiv
    Numerous fast-developing techniques such as Building Information Modelling (BIM) and Geographical Information System (GIS) are implemented in the construction industry to meet sustainability goals. BIM is a single platform that integrates different tools and practices to create the digital representation of the multiple stages of the project. BIM technology was utilized for various projects related to smart water management and smart city development, integrating GIS and remote sensing technology like Light Detection and Ranging (LiDAR). Integrated technology makes it possible to cover the entire field, incorporating geospatial information and real site situations. Water management in urban areas is critical due to the absence of management and water infrastructure. The main objective of this study is to elaborate on the existing water management practices and tools through the literature study. The bibliometric analysis gives the author’s relationship and technological growth in integrating BIM, GIS, LiDAR, and countless applications. This review proposes a framework model by uniting various methodologies and techniques to create a sustainable water management system. The suggested framework model would help to achieve the long-term sustainability goals for the 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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    A Strategic Design Approach for Implementing Rainwater Management System Using an Integration of GIS and BIM Tool
    (CIC, 2023-02) Gupta, Rajiv
    An increase in urbanization and uncontrolled development has resulted in a water stress situation, which necessitates the exploration of alternate water sources. Rainwater has proven to be a prominent alternate water source after being efficiently harvested. On-ground implementation of the Rainwater Harvesting System (RWHs) at a community level in urban areas has always been challenging and requires technological advancement. To facilitate the implementation of RWHs, the proposed study provides a comprehensive methodology by integrating the Geographical Information System (GIS) and the Building Information Modeling (BIM) tools. Initially, the hydro-spatial analysis was performed with a GIS tool to obtain an optimized rainstorm collection network and to aid in establishing the geometrical properties of RWHs. Further, an outcome from the analysis was utilized to develop a visualization model using the BIM tool. The proposed methodology is implemented as a case study in the municipality of Jaipur (India). The developed multidimensional BIM contributes to the sustainability of the project in terms of resources, economy, and efficiency over the life cycle. As an outcome, the proposed study provides a comprehensive methodology for effectively utilizing rainwater to cope with the growing water demand and contribute to flood mitigation in urban regions.
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    A systematic basin-wide approach for locating and assessing volumetric potential of rainwater harvesting sites in the urban area
    (Springer, 2022-09) Gupta, Rajiv
    Rainwater harvesting (RWH) has proven to be an efficient method of curtailing water scarcity by substituting it as an alternative water supply which also helps to mitigate the risk of flooding caused due to heavy rainfall. While overcoming the water-related issues, implementation and identifying potential harvesting sites in urban areas on a large scale has always been challenging, necessitating additional research and constraint considerations. The proposed study implements a basin-wide approach and creates a tool using the geographical information system (GIS) to pinpoint site locations to collect rainstorm water. For determining the feasible number of RWH sites, the scenarios were created by considering the minimum basin area. In addition, the volumetric potential of the identified RWH sites was evaluated using the SCS-CN (Soil Conservation Services Curve Number) method by estimating rainfall runoff volume. The proposed methodology is implemented as a case study on the extended area of Jaipur in India, and the analysis shows that all identified locations lie on the outskirts of the study area, ensuring land availability for developing rainwater harvesting structures. As an outcome, the proposed methodology helps to establish the relationship between the basin area, the number of identified RWH sites, and their volumetric potential, creating a benchmark for further conducting similar studies on other areas.
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    GIS-based multi-criteria decision-making for ranking potential sites for centralized rainwater harvesting
    (Springer, 2022-10) Gupta, Rajiv
    The exponential rise in population and adverse climatic conditions adversely affects safe water availability and has become a substantial issue in most countries. To combat this, Rainwater harvesting (RWH) can be a viable alternative source. This study proposes a framework for ranking potential sites to construct centralised RWH structures by integrating Geographical Information System (GIS) and multiple Multi-criteria decision-making (MCDM) approaches. In a study, the identified sites are compared for various predefined criteria using two objective weight methods, Criteria Importance Through Intercriteria Correlation (CRITIC) and Entropy. Furthermore, to rank the identified sites, four MCDM techniques: Weighted Aggregated Sum Product Assessment (WASPAS); Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS); VIšekriterijumsko Kompromisno Rangiranje (VIKOR); and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE-II) are applied for both objective weightage methods. In addition, Sensitivity Analysis is also performed to confirm the robustness of this methodology. The results from the analysis on real-time data of the municipality ward of Jaipur city, Rajasthan, India, show that the criteria evaluated by all the applied methods provide consistent rankings for all the potential sites.
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    Qualitative and health risk assessment of water using a novel weight-integrated health hazard and fuzzy-derived indices
    (Springer, 2023-03) Gupta, Rajiv
    Uncontrolled development and industrial progression exacerbate surface water quality, posing a risk of water-borne diseases. To assess the suitability of the water for potable use, the water quality index (WQI) has proven an effective approach. Numerous WQIs are being applied in practice; however, there is no universally accepted method that is flexible enough to assess drinking water quality for all regions around the world. To assess the water quality and validate the applicability of the proposed method, an extensive water quality survey was conducted across the Jaipur municipality, Rajasthan, India, and multiple physico-chemical parameters were analysed. The current study proposes a novel ‘Weight Integrated Health-Hazard Index’ approach to classifying water samples based on their potential risks to human health. Simultaneously, the study employs a ‘fuzzy derived index’ WQI to classify water samples based on their contaminant levels. Finally, both WQIs are utilized to classify the collected samples, and the results are integrated using a Geographical Information System (GIS) environment providing citywide visualizations. The findings reveal that more than half of the city receives ‘poor’ quality water directly associated with ‘medium’ or ‘high’ health risk levels. The proposed methodology is highly adaptable and useful for identifying priority areas within any region. It can also serve as a benchmark for similar studies in the future.