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    Return Levels under Nonstationarity: The Need to Update Infrastructure Design Strategies 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 001
    Author(s): Arpita Mondal; Denzil Daniel
    Publisher: American Society of Civil Engineers
    Abstract: Recent studies propose different metrics for hydrologic design under nonstationarity, such as the effective return level, the expected waiting time (EWT)-based return level, the expected number of events (ENE)-based return ...
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    Impact of Climate Change on Multihazard Performance of River-Crossing Bridges: Risk, Resilience, and Adaptation 

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 001:;page 04020127
    Author(s): Dinesh Kumar Devendiran; Swagata Banerjee; Arpita Mondal
    Publisher: ASCE
    Abstract: Enhanced flood hazard due to global warming and climate change imposes an additional threat to safety and serviceability of river crossing bridges. This study proposes an integrated approach to assess how climate change ...
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    Detection of Change in Flood Return Levels under Global Warming 

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 008
    Author(s): Arpita Mondal; P. P. Mujumdar
    Publisher: American Society of Civil Engineers
    Abstract: Using recent advancements in the statistical extreme value theory, this study proposes a methodology for detection of change in flood return levels under climate change. Nonstationary scaling of regional projected peak ...
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    Closure to “Multiobjective Groundwater Remediation System Design Using Coupled Finite-Element Model and Nondominated Sorting Genetic Algorithm II” by Arpita Mondal, T. I. Eldho, and V. V. S. Gurunadha Rao 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 008
    Author(s): Arpita Mondal; T. I. Eldho
    Publisher: American Society of Civil Engineers
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    Detection of Change in Flood Return Levels under Global Warming 

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 008
    Author(s): Arpita Mondal; P. P. Mujumdar
    Publisher: American Society of Civil Engineers
    Abstract: Using recent advancements in the statistical extreme value theory, this study proposes a methodology for detection of change in flood return levels under climate change. Nonstationary scaling of regional projected peak ...
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    Multiobjective Groundwater Remediation System Design Using Coupled Finite-Element Model and Nondominated Sorting Genetic Algorithm II 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 005
    Author(s): Arpita Mondal; T. I. Eldho; V. V. S. Gurunadha Rao
    Publisher: American Society of Civil Engineers
    Abstract: The optimal design of a groundwater remediation system using the pump-and-treat method is a complex task involving modeling physical phenomena such as groundwater flow and contaminant transport and optimizing several goals ...
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    Comparison of Nonstationary Regional Flood Frequency Analysis Techniques Based on the Index-Flood Approach 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 007
    Author(s): Chingka Kalai; Arpita Mondal; Adam Griffin; Elizabeth Stewart
    Publisher: ASCE
    Abstract: Regional flood frequency analysis (RFFA) techniques are used in hydrological applications for estimation of design quantiles at ungauged sites or catchments with sparse observational records. The index-flood method, a ...
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