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Author: search.filters.author.Singhal, AnupamSubject: search.filters.subject.GIS

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    Urban Policymaking for a Developing City Using a Hybridized Technique Based on SWOT, AHP, and GIS
    (ASCE, 2021) Singhal, Anupam; Routroy, Srikanta
    The high rate of population growth in the 21st century is causing mass migration from rural to urban settlements. Rapid urbanization in developing countries generally follows unregulated growths, urban sprawls, and inefficiencies in city planning. With the trend of rapid growth in developing countries, it has been very difficult to maintain an environmentally sustainable and socially resilient policy framework. This study proposes an urban development policy framework for sustainable planning in developing cities by coupling geographic information system (GIS) geospatial zonal analysis with strength, weakness, opportunities, and threats (SWOT) and analytical hierarchy process (AHP) model. The hybridized approach incorporates critical issues such as disaster impact, slum settlements, infrastructure deficit, and noise pollution in urban planning. A case study of the city of Delhi was taken to demonstrate the applicability of the proposed framework in developing cities. The novelty of the study is that it proposes a highly flexible urban development plan based on the integrated GIS and SWOT-AHP methodology that is specific to the needs of developing economies and developing cities. The methodology also puts a strong emphasis on disaster prevention and response in the urban development plan. Results from the GIS–SWOT-AHP model can be used for region-based urban planning that prioritizes regions needing critical attention and directs the development of the city toward a sustainable future.
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    Assessment of Groundwater Quality Using GIS and Various Water Quality Indices: A Case Study of the Shekhawati Region of Rajasthan, Northwest India
    (EJSC, 2016) Singhal, Anupam; Gupta, Rajiv
    Assessment of Groundwater quality using Water Quality Index (WQI) and Geographic Information System (GIS) was carried out in the Shekhawati region of Rajasthan. The results of 15 physico-chemical parameters were used for the calculation of WQI. The results indicated that WQI values range from 0 to 1304 and 0-11,701 for two different approaches used and thus indicates very poor groundwater quality status in the region. The Fuzzy method as a third approach was also used to generate a WQI and resulted in only 2 values. The geographical information system using the Inverse Distance Weighted method (IDW) delineated groundwater quality zones into good to very poor potential areas. The hierarchal cluster analysis identified anthropogenic contamination, natural mineralization, reverse cation exchange as the major processes controlling groundwater chemistry. From the correlation matrix, it could be said that Turbidity, Total Hardness as CaCO3, Ca hardness as CaCO3, Mg hardness as CaCO3, Chlorides as Cl-, Fluorides as F- and TDS are responsible for high WQI values in the region.