Hamid Asgari

Plytkie, nieograniczone warstwy wodonośne są jednym z gl wnych źr del wody pitnej i nawadniającej w wielu krajach świata. Zanieczyszczenie w d gruntowych azotanami stanowi poważny problem na obszarach o intensywnej dzialalności rolniczej lub hodowlanej. W niniejszym badaniu opracowano dwuwymiarowy model transportu substancji rozpuszczonych w stanie ustalonym w celu symulacji przemieszczania się rozproszonych źr del zanieczyszczenia azotanami w niejednorodnych mediach porowatych. Opracowano kod Matlab do rozwiązywania r wnań przeplywu w d gruntowych i transportu substancji rozpuszczonych przy użyciu metod r żnic skończonych. Proponowany model transportu substancji rozpuszczonych sluży do symulacji rozproszonych źr del zanieczyszczenia azotanami w regionie intensywnej dzialalności rolniczej w p lnocno-zachodniej części Bangladeszu.

Le falde acquifere superficiali non confinate sono una delle principali fonti di acqua potabile e per l'irrigazione in molti paesi del mondo. La contaminazione delle acque sotterranee da nitrati un problema grave nelle zone caratterizzate da intense attivit agricole o di allevamento. In questo studio stato sviluppato un modello bidimensionale di trasporto di soluti in condizioni stazionarie per simulare il movimento di fonti diffuse di inquinamento da nitrati in mezzi porosi eterogenei. stato sviluppato un codice Matlab per risolvere le equazioni del flusso delle acque sotterranee e del trasporto dei soluti utilizzando metodi a differenze finite. Il modello di trasporto dei soluti proposto viene utilizzato per simulare la fonte diffusa di inquinamento da nitrati in una regione ad alta intensit agricola del Bangladesh nord-occidentale.

Flache, unbegrenzte Grundwasserleiter sind in vielen L ndern der Welt eine der wichtigsten Quellen f r Trinkwasser und Bew sserung. Die Grundwasserverschmutzung durch Nitrat ist ein gro es Problem in Gebieten mit intensiver landwirtschaftlicher Nutzung. In dieser Studie wurde ein zweidimensionales station res Modell f r den Transport gel ster Stoffe entwickelt, um die Bewegung von diffusen Nitratverschmutzungsquellen in heterogenen por sen Medien zu simulieren. Es wurde ein Matlab-Code entwickelt, um die Grundwasserstr mungs- und Stofftransportgleichungen mit Hilfe von Finite-Differenzen-Methoden zu l sen. Das vorgeschlagene Stofftransportmodell wird verwendet, um diffuse Nitratverschmutzungsquellen in einer landwirtschaftlich intensiv genutzten Region im Nordwesten Bangladeschs zu simulieren.

Les aquif res peu profonds non confin s constituent l'une des principales sources d'eau potable et d'irrigation dans de nombreux pays du monde. La contamination des eaux souterraines par les nitrates est un probl me majeur dans les r gions o l'activit agricole ou agricole est intensive. Un mod le bidimensionnel de transport de solut s en r gime permanent a t d velopp dans le cadre de cette tude afin de simuler le mouvement des sources diffuses de pollution par les nitrates dans des milieux poreux h t rog nes. Un code Matlab a t d velopp pour r soudre les quations d' coulement des eaux souterraines et de transport des solut s l'aide de m thodes par diff rences finies. Le mod le de transport des solut s propos est utilis pour simuler les sources diffuses de pollution par les nitrates dans une r gion forte intensit agricole du nord-ouest du Bangladesh.

Os aqu feros rasos n o confinados s o uma das principais fontes de gua pot vel e de irriga o em muitos pa ses do mundo. A contamina o das guas subterr neas por nitratos um problema grave em reas com atividades agr colas intensivas. Neste estudo, foi desenvolvido um modelo bidimensional de transporte de solutos em estado estacion rio para simular o movimento de fontes difusas de polui o por nitratos em meios porosos heterog neos. Um c digo Matlab foi desenvolvido para resolver as equa es de fluxo de guas subterr neas e transporte de solutos usando m todos de diferen as finitas. O modelo de transporte de solutos proposto usado para simular fontes difusas de polui o por nitrato em uma regi o de agricultura intensiva no noroeste de Bangladesh.

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT performance and classification, the book:Outlines important criteria to consider at the beginning of the GT modeling process, such as GT types and configurations, control system types and configurations, and modeling methods and objectivesHighlights research in the fields of white-box and black-box modeling, simulation, and control of GTs, exploring models of low-power GTs, industrial power plant gas turbines (IPGTs), and aero GTsDiscusses the structure of ANNs and the ANN-based model-building process, including system analysis, data acquisition and preparation, network architecture, and network training and validationPresents a noteworthy ANN-based methodology for offline system identification of GTs, complete with validated models using both simulated and real operational dataCovers the modeling of GT transient behavior and start-up operation, and the design of proportional-integral-derivative (PID) and neural network-based controllersGas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks not only offers a comprehensive review of the state of the art of gas turbine modeling and intelligent techniques, but also demonstrates how artificial intelligence can be used to solve complicated industrial problems, specifically in the area of GTs.

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT performance and classification, the book:Outlines important criteria to consider at the beginning of the GT modeling process, such as GT types and configurations, control system types and configurations, and modeling methods and objectivesHighlights research in the fields of white-box and black-box modeling, simulation, and control of GTs, exploring models of low-power GTs, industrial power plant gas turbines (IPGTs), and aero GTsDiscusses the structure of ANNs and the ANN-based model-building process, including system analysis, data acquisition and preparation, network architecture, and network training and validationPresents a noteworthy ANN-based methodology for offline system identification of GTs, complete with validated models using both simulated and real operational dataCovers the modeling of GT transient behavior and start-up operation, and the design of proportional-integral-derivative (PID) and neural network-based controllersGas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks not only offers a comprehensive review of the state of the art of gas turbine modeling and intelligent techniques, but also demonstrates how artificial intelligence can be used to solve complicated industrial problems, specifically in the area of GTs.