A Development Of Artificial Neural Network For The Rapid Assessment Of Subsurface Contamination

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A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination

Author :
Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.:/5 (921 download)

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Book Synopsis A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination by :

Download or read book A Development of Artificial Neural Network for the Rapid Assessment of Subsurface Contamination written by and published by . This book was released on 2006 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contaminant transport in groundwater is a major environmental concern in many countries. It is desirable for users and regulatory agencies to have a reliable and convenient screening method to estimate the contaminant migration. Such a tool must allow users to identify critical sites and prioritize the clean-up and further investigative efforts. This study has investigated the feasibility of using an artificial neural network (ANN) as a quick predictor. A feedforward backpropagation neural network (FBNN) was used to train a data set simulated from the Visual MODFLOW program. The data set contained spatial and temporal variations of concentrations of one contaminant and the specified groundwater model parameters including hydraulic conductivity, longitudinal dispersivity, constant head difference, and recharge rate at the source of contamination under several hypothetical conditions. 1- and 2-hidden-layer FBNNs with various numbers of neurons were trained. Levenberg-Marquardt optimization with Bayesian regularization was found to be the best training algorithm for this training data set because of its capability of easing overfitting problem and improving generalization of the network. Data preprocessing prior training the network is also a crucial step for improving accuracy of prediction. The network with 2 hidden layers showed more accurate prediction than that with 1 hidden layer as indicated by the lower mean square error of the validation data set. The result indicates that this tool can be used to predict the concentration of contaminant as a function of time for given locations and model parameters.

Artificial Neural Networks in Hydrology

Author : R.S. Govindaraju
Publisher : Springer Science & Business Media
ISBN 13 : 9401593418
Total Pages : 338 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Artificial Neural Networks in Hydrology by : R.S. Govindaraju

Download or read book Artificial Neural Networks in Hydrology written by R.S. Govindaraju and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

Application of Artificial Neural Networks in Hydrogeology

Author : Maria Laura Foddis
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.:/5 (8 download)

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Book Synopsis Application of Artificial Neural Networks in Hydrogeology by : Maria Laura Foddis

Download or read book Application of Artificial Neural Networks in Hydrogeology written by Maria Laura Foddis and published by . This book was released on 2011 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: [...]In many cases, some hydrogeological and groundwater quality characteristics, are not directly measurable and must be physically assessed in function of directly measurable parameters. The problem of determining the unknown model parameters is usually identified as "inverse problem". Solving the inverse problem is the main goal of modeling groundwater flow and contaminant transport. The validity of an aquifer forecasting model is closely related to the reliability and accuracy of the parameters assessment. With respect to the resolution of the inverse problem, this work aims at defining a methodology that allows to identify the features in space and time of unknown contamination sources. In our case, the inverse problem is solved on the basis of measurements of contaminant concentrations in monitoring wells located in the studied areas. In the framework of this thesis, the research is developed under the following themes: - groundwater contamination modeling using a non-commercial software for the flux and transport model in porous media. - modeling of the cause and effect relationships in groundwater contamination with Artificial Neural Networks (ANN) technology. - application of ANN to solve the inverse problem in two cases of groundwater contamination. Over the past decades, Artificial Neural Networks (ANN) have become increasingly popular as a problem solving tool and have been extensively used as a forecasting tool in many disciplines.[...].

Artificial Neural Networks in Vehicular Pollution Modelling

Author : Mukesh Khare
Publisher : Springer
ISBN 13 : 3540374183
Total Pages : 250 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Artificial Neural Networks in Vehicular Pollution Modelling by : Mukesh Khare

Download or read book Artificial Neural Networks in Vehicular Pollution Modelling written by Mukesh Khare and published by Springer. This book was released on 2006-10-24 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models. It takes into account meteorological and traffic aspects. The book will be useful for professionals and researchers working in problems associated with urban air pollution management and control

Contaminants in the Subsurface

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 030909447X
Total Pages : 371 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Contaminants in the Subsurface by : National Research Council

Download or read book Contaminants in the Subsurface written by National Research Council and published by National Academies Press. This book was released on 2005-04-23 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: At hundreds of thousands of commercial, industrial, and military sites across the country, subsurface materials including groundwater are contaminated with chemical waste. The last decade has seen growing interest in using aggressive source remediation technologies to remove contaminants from the subsurface, but there is limited understanding of (1) the effectiveness of these technologies and (2) the overall effect of mass removal on groundwater quality. This report reviews the suite of technologies available for source remediation and their ability to reach a variety of cleanup goals, from meeting regulatory standards for groundwater to reducing costs. The report proposes elements of a protocol for accomplishing source remediation that should enable project managers to decide whether and how to pursue source remediation at their sites.

Application of Artificial Neural Networks in Geoinformatics

Author : Saro Lee
Publisher : MDPI
ISBN 13 : 303842742X
Total Pages : 229 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Application of Artificial Neural Networks in Geoinformatics by : Saro Lee

Download or read book Application of Artificial Neural Networks in Geoinformatics written by Saro Lee and published by MDPI. This book was released on 2018-04-09 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Application of Artificial Neural Networks in Geoinformatics" that was published in Applied Sciences

Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Author : W. Sandham
Publisher : Springer Science & Business Media
ISBN 13 : 9401702713
Total Pages : 336 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Geophysical Applications of Artificial Neural Networks and Fuzzy Logic by : W. Sandham

Download or read book Geophysical Applications of Artificial Neural Networks and Fuzzy Logic written by W. Sandham and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.

Environmental Site Characterization Via Artificial Neural Network Approach

Author : Mahmoud Mryyan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (297 download)

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Book Synopsis Environmental Site Characterization Via Artificial Neural Network Approach by : Mahmoud Mryyan

Download or read book Environmental Site Characterization Via Artificial Neural Network Approach written by Mahmoud Mryyan and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study explored the potential use of ANNs for profiling and characterization of various environmental sites. A static ANN with back-propagation algorithm was used to model the environmental containment at a hypothetical data-rich contaminated site. The performance of the ANN profiling model was then compared with eight known profiling methods. The comparison showed that the ANN-based models proved to yield the lowest error values in the 2-D and 3-D comparison cases. The ANN-based profiling models also produced the best contaminant distribution contour maps when compared to the actual maps. Along with the fact that ANN is the only profiling methodology that allows for efficient 3-D profiling, this study clearly demonstrates that ANN-based methodology, when properly used, has the potential to provide the most accurate predictions and site profiling contour maps for a contaminated site. ANN with a back-propagation learning algorithm was utilized in the site characterization of contaminants at the Kansas City landfill. The use of ANN profiling models made it possible to obtain reliable predictions about the location and concentration of lead and copper contamination at the associated Kansas City landfill site. The resulting profiles can be used to determine additional sampling locations, if needed, for both groundwater and soil in any contaminated zones. Back-propagation networks were also used to characterize the MMR Demo 1 site. The purpose of the developed ANN models was to predict the concentrations of perchlorate at the MMR from appropriate input parameters. To determine the most-appropriate input parameters for this model, three different cases were investigated using nine potential input parameters. The ANN modeling used in this case demonstrates the neural network's ability to accurately predict perchlorate contamination using multiple variables. When comparing the trends observed using the ANN-generated data and the actual trends identified in the MMR 2006 System Performance Monitoring Report, both agree that perchlorate levels are decreasing due to the use of the Extraction, Treatment, and Recharge (ETR) systems. This research demonstrates the advantages of ANN site characterization modeling in contrast with traditional modeling schemes. Accordingly, characterization task-related uncertainties of site contaminations were curtailed by the use of ANN-based models.

Mine Ventilation

Author : Purushotham Tukkaraja
Publisher : CRC Press
ISBN 13 : 1000464253
Total Pages : 580 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Mine Ventilation by : Purushotham Tukkaraja

Download or read book Mine Ventilation written by Purushotham Tukkaraja and published by CRC Press. This book was released on 2021-06-29 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the 18th North American Mine Ventilation Symposium held, on a virtual platform, June 12-17, 2021. This symposium was organized by South Dakota Mines, Rapid City, South Dakota, in collaboration with the Underground Ventilation Committee (UVC) of the Society for Mining, Metallurgy & Exploration (SME). The Mine Ventilation Symposium series has always been a premier forum for ventilation experts, practitioners, educators, students, regulators, and manufacturers from around the world to exchange knowledge, ideas, and opinions. This volume features fifty-seven selected technical papers in a wide range of topics including: auxiliary ventilation, case studies of mine ventilation, computational fluid dynamics applications in mine ventilation, diesel particulate control, electric machinery in mine ventilation, mine cooling and refrigeration, mine dust monitoring and control, mine fans, mine fires and explosion prevention, mine gases, mine heat, mine management and organization of ventilation, mine ventilation and automation, occupational health and safety in mine ventilation, renewable/alternative energy in mine ventilation, ventilation monitoring and measurement, ventilation network analysis and optimization, and ventilation planning and design.

Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology

Author : Lance E. Besaw
Publisher :
ISBN 13 :
Total Pages : 458 pages
Book Rating : 4.:/5 (464 download)

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Book Synopsis Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology by : Lance E. Besaw

Download or read book Advances in Artificial Neural Networks with Applications in Surface and Subsurface Hydrology written by Lance E. Besaw and published by . This book was released on 2009 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this dissertation, we develop, modify and apply artificial neural networks (ANNs) to solve complex problems in surface and subsurface hydrology. Parametric statistical and physics-based models are widely used for conditional simulation, classifying, clustering and mining data as well as state-variable, parameter and time-series estimation. However, many environmental datasets comprise enormous amounts of multiple data types (continuous, nominal and categorical), represente different spatio-temporal scales, and do not conform to parametric assumptions. In addition, resources are not typically available to develop and calibrate appropriate physics-based (or other traditional) models. Given the abundance of information collected about the Earth and its human-induced changes, data-driven ANNs provide computational tools to understand and improve the way we make decisions about natural resources. Four different ANNs are developed and applied to data fi-om real-world environmental engineering problems.

Resilience, Response, and Risk in Water Systems

Author : Manish Kumar
Publisher : Springer Nature
ISBN 13 : 9811546681
Total Pages : 399 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Resilience, Response, and Risk in Water Systems by : Manish Kumar

Download or read book Resilience, Response, and Risk in Water Systems written by Manish Kumar and published by Springer Nature. This book was released on 2020-07-11 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book talks about the dynamics of the surface water-groundwater contaminant interactions under different environmental conditions across the world. The contents of the book highlight trends of monitoring, prediction, awareness, learning, policy, and mitigation success. The book provides a description of the background processes and factors controlling resilience, risk, and response of water systems, contributing to the development of more efficient, sustainable technologies and management options. It integrates methodologies and techniques such as data science and engineering, remote sensing, modelling, analytics, synthesis and indices, disruptive innovations and their utilization in water management, policy making, and mitigation strategies. The book is intended to be a comprehensive reference for students, professionals, and researchers working on various aspects of science and technology development. It will also prove a useful resource for policy makers and implementation specialists.

Statistical Treatment of Analytical Data

Author : Zeev B. Alfassi
Publisher : John Wiley & Sons
ISBN 13 : 1405148144
Total Pages : 272 pages
Book Rating : 4.4/5 (51 download)

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Book Synopsis Statistical Treatment of Analytical Data by : Zeev B. Alfassi

Download or read book Statistical Treatment of Analytical Data written by Zeev B. Alfassi and published by John Wiley & Sons. This book was released on 2009-02-12 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. In this book the range of statistical methods available for such tasks are described in detail, with the advantages and disadvantages of each technique clarified by use of examples. With a focus on the essential practical application of these techniques the book also includes sufficient theory to facilitate understanding of the statistical principles involved. Statistical Treatment of Analytical Data is written for professional analytical chemists in industry, government and research institutions who require a practical understanding of the application of statistics in day to day activities in the analytical laboratory. It is also for students who require further and detailed information that may not be available directly in a typical undergraduate course.

Artificial Neural Networks in Water Supply Engineering

Author : Srinivasa Lingireddy
Publisher : ASCE Publications
ISBN 13 : 9780784475607
Total Pages : 196 pages
Book Rating : 4.4/5 (756 download)

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Book Synopsis Artificial Neural Networks in Water Supply Engineering by : Srinivasa Lingireddy

Download or read book Artificial Neural Networks in Water Supply Engineering written by Srinivasa Lingireddy and published by ASCE Publications. This book was released on 2005-01-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepared by the Water Supply Engineering Technical Committee of the Infrastructure Council of the Environmental and Water Resources Institute of ASCE. This report examines the application of artificial neural network (ANN) technology to water supply engineering problems. Although ANN has rarely been used in in this area, those who have done so report findings that were beyond the capability of traditional statistical and mathematical modeling tools. This report describes the availability of diverse applications, along with the basics of neural network modeling, and summarizes the experiences of groups of researchers around the world who successfully demonstrated significant benefits from using ANN technology in water supply engineering. Topics include: Forecasting salinity levels in River Murray, South Australia; Predicting gastroenteritis rates and waterborne outbreaks; Modeling pH levels in a eutrophic Middle Loire River, France; and ANNs as function approximation tools replacing rigorous mathematical simulation models for analyzing water distribution networks.

Transactions of the American Society of Civil Engineers

Author : American Society of Civil Engineers
Publisher :
ISBN 13 :
Total Pages : 1132 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Transactions of the American Society of Civil Engineers by : American Society of Civil Engineers

Download or read book Transactions of the American Society of Civil Engineers written by American Society of Civil Engineers and published by . This book was released on 2004 with total page 1132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. 29-30 contain papers of the International Engineering Congress, Chicago, 1893; v. 54, pts. A-F, papers of the International Engineering Congress, St. Louis, 1904.

Scientific and Technical Aerospace Reports

Author :
Publisher :
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Network Learning and Expert Systems

Author : Stephen I. Gallant
Publisher : MIT Press
ISBN 13 : 9780262071451
Total Pages : 392 pages
Book Rating : 4.0/5 (714 download)

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Book Synopsis Neural Network Learning and Expert Systems by : Stephen I. Gallant

Download or read book Neural Network Learning and Expert Systems written by Stephen I. Gallant and published by MIT Press. This book was released on 1993 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Surface and Groundwater Resources Development and Management in Semi-arid Region

Author : Chaitanya B. Pande
Publisher : Springer Nature
ISBN 13 : 3031293940
Total Pages : 426 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Surface and Groundwater Resources Development and Management in Semi-arid Region by : Chaitanya B. Pande

Download or read book Surface and Groundwater Resources Development and Management in Semi-arid Region written by Chaitanya B. Pande and published by Springer Nature. This book was released on 2023-05-19 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other countries, providing a stable output presentation by using machine learning data mining methods, and modeling. It is a combination of machine learning, modeling, google earth engine, climate data modeling, remote sensing and GIS techniques, surface water modeling, AHP modeling, groundwater quality analysis, aquifer mapping, land use and land cover analysis, forecasting of water and rainfall and so on, its use to sustainable development, planning, and management of groundwater purposes in India and other countries. The main purpose of this book will develop better outlines for the development of surface and groundwater and management in the semi-arid region climate, which supports the Sustainable Development Goals (SDGs) in India, especially on sustainable surface water and groundwater resources management. This book provides a multidisciplinary overview for the faculty members, administrators scientists, policymakers, social science, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.