A Bilevel Multiobjective Model for Optimal Allocation of Water Resources in the Punjab Province of Pakistan

Masood, Muddasar; Ahmad, Ijaz; Sarwar, Muhammad Kaleem; Khan, Noor Muhammad; Waseem, Muhammad; Nabi, Ghulam; Saleem, Muhammad

doi:10.1007/s13369-021-05480-3

Cited by 8 publications

(2 citation statements)

References 38 publications

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“…In bi-level multi-objective programming, managers/planners at upper level allocate the water based on certain criteria to lower-level decision makers (DMs); dispatch their decision to lower level DMs who allocate the water to different competing uses, thereby making it a hierarchical decision making problem (Masood et al 2021). Masood et al (2021) analyzed several applications of bilevel programming on water resource allocation for different basin studies including a bi-level fuzzy goal programming proposed by Redi et al (2020) for planning agro-processing water allocation in Gidabo Watershed.…”

Section: Related Workmentioning

confidence: 99%

A Bi-level Neuro-Fuzzy System Soft Computing for Reservoir Operation

Redi¹,

Dananto²,

Thillaigovindan³

2021

IJASCA

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Reservoir operation studies purely based on the storage level, inflow, and release decisions during dry periods only fail to serve the optimal reservoir operation policy design because of the fact that the release decision during this period is highly dependent on wet season water conservation and flood risk management operations. Imperatively, the operation logic in the two seasons are quite different. If the two operations are not sufficiently coordinated, they may produce poor responses to the system dynamics. There are high levels of uncertainties on the model parameters, values and how they are logically operated by human or automated systems. Soft computing methods represent the system as an artificial neural network (ANN) in which the input- output relations take the form of fuzzy numbers, fuzzy arithmetic and fuzzy logic (FL). Neuro-Fuzzy System (NFS) soft computing combine the approaches of FL and ANN for single purpose reservoir operation. Thus, this study proposes a Bi-Level Neuro-Fuzzy System (BL-NFS) soft computing methodology for short and long term operation policies for a newly inaugurated irrigation project in Gidabo Watershed of Main Ethiopian Rift Valley Basin. Keywords: Bankruptcy rule, BL-NFS, Reservoir operation, Sensitivity analysis, Soft computing, Water conservation.

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Section: Related Workmentioning

confidence: 99%

A Bi-level Neuro-Fuzzy System Soft Computing for Reservoir Operation

Redi¹,

Dananto²,

Thillaigovindan³

2021

IJASCA

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“…In recent decades, researchers from various parts of the world such as Australia, India, Iran, South Africa, China, Pakistan, and Saudi Arabia have developed their models or built their agricultural water allocation research on existing multi-object optimisation models [ 6 – 16 ]. Lewis and Randell [ 6 ] used multi-objective evolutionary computational techniques and Pareto optimisation concepts to solve different decision problems, including environmental flow in the agricultural system of the Irrigation area at Berembed weir on the Murrumbidgee River, Australia.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective mathematical model of a water management problem with environmental impacts: An application in an irrigation project

Ullah

Nehring

2021

PLoS ONE

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The study proposes applying an efficient but straightforward multi-objective constrained optimization model for optimal water allocation among irrigation and environmental sectors. The model has been implemented in the Muhuri Irrigation Project (MIP), Bangladesh, where the irrigation systems lead to unjustifiable use of groundwater. This study explores how water can be optimised to increase agricultural production and sustain the local environment in the MIP. Hence, the paper has two objectives—to maximise the net return and minimise the deficit in environmental flow. The study uses a Non-Dominating Sorting Genetic Algorithm, NSGA-II, to solve the research problem. Results indicate that crops more profitable to trade should be cultivated. Furthermore, the rainfall has more impact on the net return and environmental flow deficit than water inflow. The findings of this study can help plan irrigation water and cropland resources and be a reference for further studies.

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Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources

Ahmad

Zhang

2022

Water Resour Manage

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A Bilevel Multiobjective Model for Optimal Allocation of Water Resources in the Punjab Province of Pakistan

Cited by 8 publications

References 38 publications

A Bi-level Neuro-Fuzzy System Soft Computing for Reservoir Operation

A Bi-level Neuro-Fuzzy System Soft Computing for Reservoir Operation

A multi-objective mathematical model of a water management problem with environmental impacts: An application in an irrigation project

Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources

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