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    Effect of Irrigation and Climate Variability on Water Quality of Coastal Watersheds: Case Study in Alabama 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Golbahar Mirhosseini; Puneet Srivastava
    Publisher: American Society of Civil Engineers
    Abstract: Agricultural activities are considered the leading cause of surface water quality degradation in the United States. While agricultural production in the state of Alabama is mainly rain-fed, irrigation is currently being ...
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    Comprehensive Drought Assessment Tool for Coastal Areas, Bays, and Estuaries: Development of a Coastal Drought Index 

    Source: Journal of Hydrologic Engineering:;2021:;Volume ( 026 ):;issue: 001:;page 04020055
    Author(s): Subhasis Mitra; Puneet Srivastava
    Publisher: ASCE
    Abstract: The interface of freshwater and saltwater plays an important role in the economic and social dynamics along the coast and estuaries. Droughts in coastal areas have ecological impacts and affect socioeconomic dynamics and ...
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    Effect of Soil Data Resolution on Identification of Critical Source Areas of Sediment 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 003
    Author(s): Harsh V. Singh; Latif Kalin; Puneet Srivastava
    Publisher: American Society of Civil Engineers
    Abstract: Identification of critical source areas (CSAs) of pollution in a watershed is important for effective implementation of best management practices (BMPs). Process-based watershed models are often used for this purpose. One ...
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    Developing Probability-Based IDF Curves Using Kernel Density Estimator 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 009
    Author(s): Golbahar Mirhosseini; Puneet Srivastava; Amirreza Sharifi
    Publisher: American Society of Civil Engineers
    Abstract: Many hydraulic structures are designed based on intensity-duration-frequency (IDF) curves. A design based on an inaccurate design storm can cause problems, such as malfunction of the infrastructure, excessive cost, or loss ...
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    Developing Rainfall Intensity-Duration-Frequency Curves for Alabama under Future Climate Scenarios Using Artificial Neural Networks 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 011
    Author(s): Golbahar Mirhosseini; Puneet Srivastava; Xing Fang
    Publisher: American Society of Civil Engineers
    Abstract: Hydrologic design of water management infrastructures is on the basis of specific design storms derived from historical rainfall events available in the form of intensity-duration-frequency (IDF) curves. However, it is ...
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    Sensitivity of Groundwater Components to Irrigation Withdrawals during Droughts on Agricultural-Intensive Karst Aquifer in the Apalachicola–Chattahoochee–Flint River Basin 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 003
    Author(s): Subhasis Mitra; Sarmistha Singh; Puneet Srivastava
    Publisher: American Society of Civil Engineers
    Abstract: In southwestern Georgia, increased groundwater withdrawal for irrigation in the Lower Flint River Basin (LFRB) is greatly affecting the supply of freshwater to downstream regions during drought years. This study was ...
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    Development of Community Water Deficit Index: Drought-Forecasting Tool for Small- to Mid-Size Communities of the Southeastern United States 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
    Author(s): Vaishali Sharda; Puneet Srivastava; Latif Kalin; Keith Ingram; Muthuvel Chelliah
    Publisher: American Society of Civil Engineers
    Abstract: The El Niño Southern Oscillation (ENSO) climate-variability phenomenon greatly affects water availability in the Southeast United States. For example, it is well known that La Niña conditions bring drought to this region. ...
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    Deriving Spatially Distributed Precipitation Data Using the Artificial Neural Network and Multilinear Regression Models 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 002
    Author(s): Suresh Sharma; Sabahattin Isik; Puneet Srivastava; Latif Kalin
    Publisher: American Society of Civil Engineers
    Abstract: Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially distributed precipitation data sets for calibration and validation, a novel approach was developed ...
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    Long-Range Hydrologic Forecasting in El Niño Southern Oscillation-Affected Coastal Watersheds: Comparison of Climate Model and Weather Generator Approach 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 012
    Author(s): Suresh Sharma; Puneet Srivastava; Xing Fang; Latif Kalin
    Publisher: American Society of Civil Engineers
    Abstract: Streamflow forecasting is essential for the proper management of water resources, especially when severe droughts cause water resource scarcity. Streamflow forecasting using physically based or conceptual hydrologic models ...
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