Author: B. Ulanicki
Publisher: CRC Press
ISBN: 1000155501
Category : Science
Languages : en
Pages : 712
Book Description
Water Management Challenges in Global Change contains the proceedings of the 9th Computing and Control for the Water Industry (CCWI2007) and the Sustainable Urban Water Management (SUWM2007) conferences. The rationale behind these conferences is to improve the management of urban water systems through the development of computerbased methods. Issues such as economic globalisation, climate changes and water shortages call for a new approach to water systems management, which addresses the relevant technical, social and economic aspects. This collection represents the views of academic and industrial experts from a number of countries, who provide technical solutions to current water management problems and present a vision for addressing the global questions. The themes underlying many of the contributions include energy and material savings, water savings and the integration of different aspects of water management. The papers are grouped into three themes covering water distribution systems, sustainable urban water management and modelling of wastewater treatment plants. The water distribution topics cover asset and information management, planning, monitoring and control, hydraulic modelling of steady state and transients, water quality and treatment, demand and leakage management, optimisation, design and decision support systems, as well as reliability and security of water distribution systems. The sustainable urban water management topics include urban drainage systems, water reuse, social aspects of water management and also selected facets of water resources and irrigation. Computer control of wastewater treatment plants has been seen as less advanced than that of clean water systems. To address this imbalance, this book presents a number of modelling techniques developed specifically for these plants. Water Management Challenges in Global Change will prove to be invaluable to water and environmental engineering researchers and academics; managers, engineers and planners; and postgraduate students.
Water Management Challenges in Global Change
Author: B. Ulanicki
Publisher: CRC Press
ISBN: 1000155501
Category : Science
Languages : en
Pages : 712
Book Description
Water Management Challenges in Global Change contains the proceedings of the 9th Computing and Control for the Water Industry (CCWI2007) and the Sustainable Urban Water Management (SUWM2007) conferences. The rationale behind these conferences is to improve the management of urban water systems through the development of computerbased methods. Issues such as economic globalisation, climate changes and water shortages call for a new approach to water systems management, which addresses the relevant technical, social and economic aspects. This collection represents the views of academic and industrial experts from a number of countries, who provide technical solutions to current water management problems and present a vision for addressing the global questions. The themes underlying many of the contributions include energy and material savings, water savings and the integration of different aspects of water management. The papers are grouped into three themes covering water distribution systems, sustainable urban water management and modelling of wastewater treatment plants. The water distribution topics cover asset and information management, planning, monitoring and control, hydraulic modelling of steady state and transients, water quality and treatment, demand and leakage management, optimisation, design and decision support systems, as well as reliability and security of water distribution systems. The sustainable urban water management topics include urban drainage systems, water reuse, social aspects of water management and also selected facets of water resources and irrigation. Computer control of wastewater treatment plants has been seen as less advanced than that of clean water systems. To address this imbalance, this book presents a number of modelling techniques developed specifically for these plants. Water Management Challenges in Global Change will prove to be invaluable to water and environmental engineering researchers and academics; managers, engineers and planners; and postgraduate students.
Publisher: CRC Press
ISBN: 1000155501
Category : Science
Languages : en
Pages : 712
Book Description
Water Management Challenges in Global Change contains the proceedings of the 9th Computing and Control for the Water Industry (CCWI2007) and the Sustainable Urban Water Management (SUWM2007) conferences. The rationale behind these conferences is to improve the management of urban water systems through the development of computerbased methods. Issues such as economic globalisation, climate changes and water shortages call for a new approach to water systems management, which addresses the relevant technical, social and economic aspects. This collection represents the views of academic and industrial experts from a number of countries, who provide technical solutions to current water management problems and present a vision for addressing the global questions. The themes underlying many of the contributions include energy and material savings, water savings and the integration of different aspects of water management. The papers are grouped into three themes covering water distribution systems, sustainable urban water management and modelling of wastewater treatment plants. The water distribution topics cover asset and information management, planning, monitoring and control, hydraulic modelling of steady state and transients, water quality and treatment, demand and leakage management, optimisation, design and decision support systems, as well as reliability and security of water distribution systems. The sustainable urban water management topics include urban drainage systems, water reuse, social aspects of water management and also selected facets of water resources and irrigation. Computer control of wastewater treatment plants has been seen as less advanced than that of clean water systems. To address this imbalance, this book presents a number of modelling techniques developed specifically for these plants. Water Management Challenges in Global Change will prove to be invaluable to water and environmental engineering researchers and academics; managers, engineers and planners; and postgraduate students.
Applied Operational Research
Author: Kaveh Sheibani
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 564
Book Description
These proceedings gather contributions presented at the 2nd International Conference on Applied Operational Research (ICAOR 2010) in Turku, Finland, August 25-27, 2010, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 564
Book Description
These proceedings gather contributions presented at the 2nd International Conference on Applied Operational Research (ICAOR 2010) in Turku, Finland, August 25-27, 2010, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Advances in Hydrologic Forecasts and Water Resources Management
Author: Fi-John Chang
Publisher: MDPI
ISBN: 3039368044
Category : Technology & Engineering
Languages : en
Pages : 274
Book Description
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
Publisher: MDPI
ISBN: 3039368044
Category : Technology & Engineering
Languages : en
Pages : 274
Book Description
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information from large amounts of data to solve complex problems. The fourteen research papers published in this Special Issue contribute significantly to the uncertainty assessment of operational hydrologic forecasting under changing environmental conditions and the promotion of water resources management by using the latest advanced techniques, such as AI techniques. The fourteen contributions across four major research areas: (1) machine learning approaches to hydrologic forecasting; (2) uncertainty analysis and assessment on hydrological modeling under changing environments; (3) AI techniques for optimizing multi-objective reservoir operation; (4) adaption strategies of extreme hydrological events for hazard mitigation. The papers published in this issue will not only advance water sciences but also help policymakers to achieve more sustainable and effective water resource management.
Multi-state System Reliability: Assessment, Optimization And Applications
Author: Gregory Levitin
Publisher: World Scientific Publishing Company
ISBN: 981310614X
Category : Mathematics
Languages : en
Pages : 375
Book Description
Most books on reliability theory are devoted to traditional binary reliability models allowing for only two possible states for a system and its components: perfect functionality and complete failure. However, many real-world systems are composed of multi-state components, which have different performance levels and several failure modes with various effects on the entire system performance (degradation). Such systems are called Multi-State Systems (MSS). The examples of MSS are power systems where the component performance is characterized by the generating capacity, computer systems where the component performance is characterized by the data processing speed, communication systems, etc.This book is the first to be devoted to Multi-State System (MSS) reliability analysis and optimization. It provides a historical overview of the field, presents basic concepts of MSS, defines MSS reliability measures, and systematically describes the tools for MSS reliability assessment and optimization. Basic methods for MSS reliability assessment, such as a Boolean methods extension, basic random process methods (both Markov and semi-Markov) and universal generating function models, are systematically studied. A universal genetic algorithm optimization technique and all details of its application are described. All the methods are illustrated by numerical examples. The book also contains many examples of application of reliability assessment and optimization methods to real engineering problems.The aim of this book is to give a comprehensive, up-to-date presentation of MSS reliability theory based on modern advances in this field and provide a theoretical summary and examples of engineering applications to a variety of technical problems. From this point of view the book bridges the gap between theoretical advances and practical reliability engineering.
Publisher: World Scientific Publishing Company
ISBN: 981310614X
Category : Mathematics
Languages : en
Pages : 375
Book Description
Most books on reliability theory are devoted to traditional binary reliability models allowing for only two possible states for a system and its components: perfect functionality and complete failure. However, many real-world systems are composed of multi-state components, which have different performance levels and several failure modes with various effects on the entire system performance (degradation). Such systems are called Multi-State Systems (MSS). The examples of MSS are power systems where the component performance is characterized by the generating capacity, computer systems where the component performance is characterized by the data processing speed, communication systems, etc.This book is the first to be devoted to Multi-State System (MSS) reliability analysis and optimization. It provides a historical overview of the field, presents basic concepts of MSS, defines MSS reliability measures, and systematically describes the tools for MSS reliability assessment and optimization. Basic methods for MSS reliability assessment, such as a Boolean methods extension, basic random process methods (both Markov and semi-Markov) and universal generating function models, are systematically studied. A universal genetic algorithm optimization technique and all details of its application are described. All the methods are illustrated by numerical examples. The book also contains many examples of application of reliability assessment and optimization methods to real engineering problems.The aim of this book is to give a comprehensive, up-to-date presentation of MSS reliability theory based on modern advances in this field and provide a theoretical summary and examples of engineering applications to a variety of technical problems. From this point of view the book bridges the gap between theoretical advances and practical reliability engineering.
Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
Author: Kim, Dookie
Publisher: IGI Global
ISBN: 1522547673
Category : Technology & Engineering
Languages : en
Pages : 644
Book Description
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
Publisher: IGI Global
ISBN: 1522547673
Category : Technology & Engineering
Languages : en
Pages : 644
Book Description
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
Computational Intelligence Techniques for Combating COVID-19
Author: Sandeep Kautish
Publisher: Springer Nature
ISBN: 3030689360
Category : Biomedical engineering
Languages : en
Pages : 392
Book Description
This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).
Publisher: Springer Nature
ISBN: 3030689360
Category : Biomedical engineering
Languages : en
Pages : 392
Book Description
This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).
Women in Soft Computing
Author: Vanita Garg
Publisher: Springer Nature
ISBN: 3031447069
Category : Computers
Languages : en
Pages : 161
Book Description
This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field.
Publisher: Springer Nature
ISBN: 3031447069
Category : Computers
Languages : en
Pages : 161
Book Description
This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field.
Exploring the Consequences of the COVID-19 Pandemic
Author: Usha Rana
Publisher: CRC Press
ISBN: 1000565297
Category : Science
Languages : en
Pages : 512
Book Description
This unique and topical book assesses the impact of coronavirus disease (COVID-19) on a multitude of different aspects of human life. With chapters from researchers from a diverse selection of countries, this new volume, Exploring the Consequences of the COVID-19 Pandemic: Social, Cultural, Economic, and Psychological Insights and Perspectives, provides an insightful understanding of the challenges and impacts of COVID-19 on mental health, health care, gender issues, education, social institutions, and more. The diverse studies in this volume look at community responses and social challenges during COVID-19, covering topics such as social protection challenges and measures, the responsibility of the state to its citizens, and human rights and inhuman wrongs. The volume also examines health challenges and consequences of COVID-19, such as the impact on maternal and reproductive health, on mental health, the psychological effects of isolation, and more. The volume also includes studies on gender issues such as the plight of women migrant workers during the pandemic, feminist activism during quarantine, the impact on vulnerable groups of society, and how the pandemic affected interpersonal relations and behavior. The volume also takes a look at the roles of different organizations and professions and their reactions to the health crisis, including police, journalists and the media, and educators. The issues of the closure of schools and colleges and remote learning are also addressed. There is even a mathematical study of optimum budget allocation for social projects to control the COVID-19 pandemic. The enlightening volume provides an in-depth understanding of sociocultural responses to the COVID-19 and its consequences on society and will be of value to many sectors of society, including government and nongovernment organizations, policymakers and policy analysts, medical research organizations, schools and universities, healthcare practitioners, sociologists, and many others.
Publisher: CRC Press
ISBN: 1000565297
Category : Science
Languages : en
Pages : 512
Book Description
This unique and topical book assesses the impact of coronavirus disease (COVID-19) on a multitude of different aspects of human life. With chapters from researchers from a diverse selection of countries, this new volume, Exploring the Consequences of the COVID-19 Pandemic: Social, Cultural, Economic, and Psychological Insights and Perspectives, provides an insightful understanding of the challenges and impacts of COVID-19 on mental health, health care, gender issues, education, social institutions, and more. The diverse studies in this volume look at community responses and social challenges during COVID-19, covering topics such as social protection challenges and measures, the responsibility of the state to its citizens, and human rights and inhuman wrongs. The volume also examines health challenges and consequences of COVID-19, such as the impact on maternal and reproductive health, on mental health, the psychological effects of isolation, and more. The volume also includes studies on gender issues such as the plight of women migrant workers during the pandemic, feminist activism during quarantine, the impact on vulnerable groups of society, and how the pandemic affected interpersonal relations and behavior. The volume also takes a look at the roles of different organizations and professions and their reactions to the health crisis, including police, journalists and the media, and educators. The issues of the closure of schools and colleges and remote learning are also addressed. There is even a mathematical study of optimum budget allocation for social projects to control the COVID-19 pandemic. The enlightening volume provides an in-depth understanding of sociocultural responses to the COVID-19 and its consequences on society and will be of value to many sectors of society, including government and nongovernment organizations, policymakers and policy analysts, medical research organizations, schools and universities, healthcare practitioners, sociologists, and many others.
Watershed Management and Applications of AI
Author: Sandeep Samantaray
Publisher: CRC Press
ISBN: 1000386732
Category : Technology & Engineering
Languages : en
Pages : 310
Book Description
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
Publisher: CRC Press
ISBN: 1000386732
Category : Technology & Engineering
Languages : en
Pages : 310
Book Description
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
Handbook of Formal Optimization
Author: Anand J. Kulkarni
Publisher: Springer Nature
ISBN: 9819738202
Category :
Languages : en
Pages : 1406
Book Description
Publisher: Springer Nature
ISBN: 9819738202
Category :
Languages : en
Pages : 1406
Book Description