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    Modeling Hydrologic Processes and NPS Pollution in a Small Watershed in Subhumid Subtropics Using SWAT 

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 003
    Author(s): Ashok Mishra; S. Kar
    Publisher: American Society of Civil Engineers
    Abstract: The soil and water assessment tool (SWAT) has been calibrated and validated to predict stream flow, and to transport sediment and non-point source (NPS) pollutants to the downstream water resources from a small (1,695 ha) ...
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    Modeling Nonpoint Source Pollutant Losses from a Small Watershed Using HSPF Model 

    Source: Journal of Environmental Engineering:;2009:;Volume ( 135 ):;issue: 002
    Author(s): Ashok Mishra; S. Kar; N. S. Raghuwanshi
    Publisher: American Society of Civil Engineers
    Abstract: Hydrologic models play an important role in the assessment of nonpoint source (NPS) pollution, which is essential for the environmental management of water resources. The present study has been undertaken to evaluate the ...
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    Identification of Critical Erosion Watersheds for Control Management in Data Scarce Condition Using the SWAT Model 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 006
    Author(s): Sanjeet Kumar; Ashok Mishra; Narendra Singh Raghuwanshi
    Publisher: American Society of Civil Engineers
    Abstract: Identification of critical watersheds prone to soil erosion has been performed by using a hydrological model in data scarce Damodar River catchment, located in Jharkhand state of India. Model is calibrated and validated ...
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    Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 002:;page 04024001-1
    Author(s): Sushree Swagatika Swain; Ashok Mishra; Chandranath Chatterjee
    Publisher: ASCE
    Abstract: Compound extremes can be expressed as the joint distribution or dynamic interaction of multiple variables and the interdependence of several extremes that have major effects on the agricultural sector. Analysis of these ...
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    Closure to “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 009
    Author(s): Sirisha Adamala; N. S. Raghuwanshi; Ashok Mishra; Mukesh K. Tiwari
    Publisher: American Society of Civil Engineers
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    Evapotranspiration Modeling Using Second-Order Neural Networks 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006
    Author(s): Sirisha Adamala; N. S. Raghuwanshi; Ashok Mishra; Mukesh K. Tiwari
    Publisher: American Society of Civil Engineers
    Abstract: This study introduces the utility of the second-order neural network (SONN) method to model the reference evapotranspiration (
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    Diagnosing Credibility of a Large-Scale Conceptual Hydrological Model in Simulating Streamflow 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 004
    Author(s): Pranesh Kumar Paul; Srishti Gaur; Babita Kumari; Niranjan Panigrahy; Ashok Mishra; Rajendra Singh
    Publisher: American Society of Civil Engineers
    Abstract: A robust hierarchical operational testing scheme has been adopted to test the credibility of a newly developed large-scale conceptual hydrological model in the Subarnarekha basin, India. We have evaluated the results using ...
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