An Adaptive Meta‐Modeling for Multi‐Pollutant Waste Load Allocation in River‐Reservoir System; Hydrodynamic Simulation‐Optimization

2021 ◽  
Author(s):  
Sepideh Kheirkhah ◽  
Motahareh Saadatpour ◽  
Abbas Afshar
Keyword(s):  
Simulation Optimization ◽  
Waste Load Allocation ◽  
Hydrodynamic Simulation ◽  
Reservoir System ◽  
River Reservoir ◽  
Waste Load ◽  
Meta Modeling

scholarly journals Waste load allocation under uncertainty using game theory approach and simulation-optimization process

2020 ◽  
Vol 22 (4) ◽  
pp. 815-841 ◽  
Author(s):  
Behnam Andik ◽  
Mohammad Hossein Niksokhan
Keyword(s):  
Game Theory ◽  
Sensitivity Analysis ◽  
Simulation Optimization ◽  
Graph Model ◽  
Decision Makers ◽  
Optimization Process ◽  
Theory Approach ◽  
Waste Load Allocation ◽  
Waste Load ◽  
The Status

Abstract This article aims to present a new methodology for waste load allocation (WLA) in a riverine system considering the uncertainty and achieve the lowest amount of inequity index, cost, and fuzzy risk of standard violation. To find a surface of undominated solutions, a new modified PAWN method, initially designed for sensitivity analysis, was developed and coupled with a simulation-optimization process using multi-objective particle swarm optimization (MOPSO) algorithm, to consider the uncertainty of all affecting variables and parameters by using their probability distribution. The proposed methodology applied to Sefidrood River in the northern part of Iran. Graph model for conflict resolution (GMCR) as a subset of game theory was implemented to attain a compromise on WLA among the stakeholders of a river system's quality in Iran: Department of Environment, Municipal Waste Water, and Private Sector. Some undominated solutions were used in GMCR model and modeling the conflict among decision makers reveals that their preferences and the status quo do not lead to a solely stable equilibrium; thus the intervention of a ruler as arbitrator leads them to reach a compromise on a scenario that has a median FRVS and cost. Sensitivity analysis was done using the PAWN method to assess the sensitivity of three intended objectives to all variables and parameters.

scholarly journals A nonlinearity interval mapping scheme for efficient waste load allocation simulation-optimization analysis

2010 ◽  
Vol 46 (8) ◽  
Author(s):  
Rui Zou ◽  
Yong Liu ◽  
John Riverson ◽  
Andrew Parker ◽  
Stephen Carter
Keyword(s):  
Simulation Optimization ◽  
Interval Mapping ◽  
Waste Load Allocation ◽  
Optimization Analysis ◽  
Waste Load ◽  
Mapping Scheme

Developing a Reliability-Based Waste Load Allocation Strategy for River-Reservoir Systems

2018 ◽  
Vol 144 (9) ◽  
pp. 04018052 ◽  
Author(s):  
Abbas Afshar ◽  
Fariborz Masoumi ◽  
Samuel Sandoval Solis
Keyword(s):  
Allocation Strategy ◽  
Waste Load Allocation ◽  
River Reservoir ◽  
Reservoir Systems ◽  
Waste Load

Simulation–optimization method based on rationality evaluation for waste load allocation in Daliao river

2015 ◽  
Vol 73 (9) ◽  
pp. 5193-5209 ◽  
Author(s):  
Kun Lei ◽  
Gang Zhou ◽  
Fu Guo ◽  
Soon-Thiam Khu ◽  
Guangjun Mao ◽  
...  
Keyword(s):  
Simulation Optimization ◽  
Optimization Method ◽  
Waste Load Allocation ◽  
Waste Load

Waste load allocation modeling with fuzzy goals; simulation-optimization approach

2006 ◽  
Vol 21 (7) ◽  
pp. 1207-1224 ◽  
Author(s):  
M. Saadatpour ◽  
A. Afshar
Keyword(s):  
Simulation Optimization ◽  
Optimization Approach ◽  
Waste Load Allocation ◽  
Fuzzy Goals ◽  
Waste Load

scholarly journals Fuzzy Waste Load Allocation Model: Simulation-Optimization Approach

2004 ◽  
Vol 18 (2) ◽  
pp. 120-131 ◽  
Author(s):  
Pradeep P. Mujumdar ◽  
V. R. Subbarao Vemula
Keyword(s):  
Model Simulation ◽  
Simulation Optimization ◽  
Optimization Approach ◽  
Waste Load Allocation ◽  
Allocation Model ◽  
Waste Load

Heuristic Algorithms for Waste Load Allocation in a River Basin

1989 ◽  
Vol 21 (8-9) ◽  
pp. 1057-1064 ◽  
Author(s):  
Vijay Joshi ◽  
Prasad Modak
Keyword(s):  
Dynamic Programming ◽  
Heuristic Algorithms ◽  
Water Quality Management ◽  
User Preferences ◽  
Theory And Practice ◽  
Waste Load Allocation ◽  
Practical Applications ◽  
Waste Load ◽  
On Line ◽  
The One

Waste load allocation for rivers has been a topic of growing interest. Dynamic programming based algorithms are particularly attractive in this context and are widely reported in the literature. Codes developed for dynamic programming are however complex, require substantial computer resources and importantly do not allow interactions of the user. Further, there is always resistance to utilizing mathematical programming based algorithms for practical applications. There has been therefore always a gap between theory and practice in systems analysis in water quality management. This paper presents various heuristic algorithms to bridge this gap with supporting comparisons with dynamic programming based algorithms. These heuristics make a good use of the insight gained in the system's behaviour through experience, a process akin to the one adopted by field personnel and therefore can readily be understood by a user familiar with the system. Also they allow user preferences in decision making via on-line interaction. Experience has shown that these heuristics are indeed well founded and compare very favourably with the sophisticated dynamic programming algorithms. Two examples have been included which demonstrate such a success of the heuristic algorithms.

Heavy metals in a typical city-river-reservoir system of East China: Multi-phase distribution, microbial response and ecological risk

2022 ◽  
Vol 112 ◽  
pp. 343-354
Author(s):  
Jun Yang ◽  
Mingrui Zhou ◽  
Kaifeng Yu ◽  
Karina Yew-Hoong Gin ◽  
Muhammad Hassan ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Phase Distribution ◽  
East China ◽  
Reservoir System ◽  
Microbial Response ◽  
River Reservoir ◽  
Multi Phase
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