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    Multiobjective Differential Evolution with Application to Reservoir System Optimization 

    Source: Journal of Computing in Civil Engineering:;2007:;Volume ( 021 ):;issue: 002
    Author(s): M. Janga Reddy; D. Nagesh Kumar
    Publisher: American Society of Civil Engineers
    Abstract: Many water resources systems are characterized by multiple objectives. For multiobjective optimization, typically there can be no single optimal solution which can simultaneously satisfy all the goals, but rather a set of ...
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    Evaluation Framework of Landsat 8–Based Actual Evapotranspiration Estimates in Data-Sparse Catchment 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 009
    Author(s): Subir Paul; Chandan Banerjee; D. Nagesh Kumar
    Publisher: ASCE
    Abstract: Remote sensing has revolutionized the assessment of evapotranspiration by continuous monitoring of the variable at a global scale. However, it is difficult to accurately estimate actual evapotranspiration (AET) in areas ...
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    Multipurpose Reservoir Operation Using Particle Swarm Optimization 

    Source: Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 003
    Author(s): D. Nagesh Kumar; M. Janga Reddy
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm optimization (EMPSO) technique, to derive reservoir operation policies for multipurpose reservoir ...
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    Optimal Irrigation Allocation: A Multilevel Approach 

    Source: Journal of Irrigation and Drainage Engineering:;2000:;Volume ( 126 ):;issue: 003
    Author(s): Sabu Paul; Sudhindra Nath Panda; D. Nagesh Kumar
    Publisher: American Society of Civil Engineers
    Abstract: Optimal resources allocation strategies for a canal command in the semiarid region of Indian Punjab are developed in a stochastic regime, considering the competition of the crops in a season, both for irrigation water and ...
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    Optimal Reservoir Operation for Irrigation of Multiple Crops Using Genetic Algorithms 

    Source: Journal of Irrigation and Drainage Engineering:;2006:;Volume ( 132 ):;issue: 002
    Author(s): D. Nagesh Kumar; K. Srinivasa Raju; B. Ashok
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a genetic algorithm (GA) model for obtaining an optimal operating policy and optimal crop water allocations from an irrigation reservoir. The objective is to maximize the sum of the relative yields from ...
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    Characterizing Drought Using the Reliability-Resilience-Vulnerability Concept 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
    Author(s): Rajib Maity; Ashish Sharma; D. Nagesh Kumar; Kironmala Chanda
    Publisher: American Society of Civil Engineers
    Abstract: This study borrows the measures developed for the operation of water resources systems as a means of characterizing droughts in a given region. It is argued that the common approach of assessing drought using a univariate ...
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    Assessing Severe Drought and Wet Events over India in a Future Climate Using a Nested Bias-Correction Approach 

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
    Author(s): Richa Ojha; D. Nagesh Kumar; A. Sharma; R. Mehrotra
    Publisher: American Society of Civil Engineers
    Abstract: General circulation models (GCMs) are routinely used to simulate future climatic conditions. However, rainfall outputs from GCMs are highly uncertain in preserving temporal correlations, frequencies, and intensity ...
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    Assessing GCM Convergence for India Using the Variable Convergence Score 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006
    Author(s): Richa Ojha; D. Nagesh Kumar; Ashish Sharma; Raj Mehrotra
    Publisher: American Society of Civil Engineers
    Abstract: General circulation models (GCMs) use transient climate simulations to predict climate conditions in the future. Coarse-grid resolutions and process uncertainties necessitate the use of downscaling models to simulate ...
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