Flood Forecasting Using Machine Learning Methods

Author : Fi-John Chang,Kuolin Hsu,Li-Chiu Chang
Publisher : MDPI
Page : 376 pages
File Size : 54,8 Mb
Release : 2019-02-28
Category : Technology & Engineering
ISBN : 9783038975489

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Flood Forecasting Using Machine Learning Methods by Fi-John Chang,Kuolin Hsu,Li-Chiu Chang Pdf

Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

Author : Xue Yunpeng
Publisher : Unknown
Page : 128 pages
File Size : 45,9 Mb
Release : 2001
Category : Electronic
ISBN : OCLC:637063064

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Application of Machine Learning Techniques to Flood Forecasting in the Upper Reach of the Huai River by Xue Yunpeng Pdf

Author : Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush
Publisher : IGI Global
Page : 618 pages
File Size : 53,6 Mb
Release : 2018-06-15
Category : Technology & Engineering
ISBN : 9781522547679

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Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering by Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush Pdf

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.

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 54,7 Mb
Release : 2021-07
Category : Electronic
ISBN : 1728196884

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2021 8th International Conference on Smart Computing and Communications (ICSCC) by IEEE Staff Pdf

The conference will bring together experts from the Smart computing and Communication systems community to discuss the timely issue of smart computing and low energy system design This will provide a forum for sharing insights, experiences and interaction on various aspects of evolving technologies and patterns related to Computer Science, Information Technology, Electronics, and associated Energy Systems The conference provides a platform for not only to the researchers from Asia but also from other continents across the globe, making this conference more international and attractive for participants

Author : Fi-John Chang,Shenglian Guo
Publisher : MDPI
Page : 274 pages
File Size : 44,5 Mb
Release : 2021-01-20
Category : Technology & Engineering
ISBN : 9783039368044

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Advances in Hydrologic Forecasts and Water Resources Management by Fi-John Chang,Shenglian Guo Pdf

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.

Author : Murugan, Thangavel,E., Nirmala
Publisher : IGI Global
Page : 649 pages
File Size : 40,5 Mb
Release : 2023-09-21
Category : Computers
ISBN : 9781668481479

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Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies by Murugan, Thangavel,E., Nirmala Pdf

Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.

Author : P. Varoonchotikul
Publisher : CRC Press
Page : 128 pages
File Size : 44,8 Mb
Release : 2017-10-02
Category : Electronic
ISBN : 1138475076

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Flood Forecasting Using Artificial Neural Networks by P. Varoonchotikul Pdf

This dissertation considers various questions with respect to the effects of salinity on nutrification: what are the main inhibiting factors causing the effects, do all salts have similar effects, what is the maximum acceptable salt level, are ammonia oxidisers or nitrite oxidizers most sensitive to salt stress, can nitrifiers adapt to long term salt stress and are some specific nitrifiers more resistant to salt stress than others? Research was carried out at laboratory scale and in full-scale plants and modelling was employed in both phases to provide a mathematical description for salt inhibition on nitrification and to facilitate the comparison. The result has led to an improved understanding of the effect of salinity on nitrification. The results can be used to improve the sustainability of the exisisting wastewater treatment plants operated under salt stress.

Author : Vinit Kumar Gunjan,P. N. Suganthan,Jan Haase,Amit Kumar,Balasubramanian Raman
Publisher : Springer Nature
Page : 315 pages
File Size : 44,5 Mb
Release : 2020-04-20
Category : Technology & Engineering
ISBN : 9789811516320

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Cybernetics, Cognition and Machine Learning Applications by Vinit Kumar Gunjan,P. N. Suganthan,Jan Haase,Amit Kumar,Balasubramanian Raman Pdf

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.

Author : Deepak Gupta,Ashish Khanna,Siddhartha Bhattacharyya,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal
Publisher : Springer Nature
Page : 1182 pages
File Size : 40,7 Mb
Release : 2020-07-30
Category : Technology & Engineering
ISBN : 9789811551482

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International Conference on Innovative Computing and Communications by Deepak Gupta,Ashish Khanna,Siddhartha Bhattacharyya,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal Pdf

This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Author : K. S. Sreekeshava
Publisher : Springer Nature
Page : 482 pages
File Size : 42,9 Mb
Release : 2024-05-08
Category : Electronic
ISBN : 9789819996100

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Civil Engineering for Multi-Hazard Risk Reduction by K. S. Sreekeshava Pdf

Author : Pramanik, Sabyasachi,Sagayam, K. Martin
Publisher : IGI Global
Page : 499 pages
File Size : 55,5 Mb
Release : 2023-02-17
Category : Mathematics
ISBN : 9781668464106

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Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by Pramanik, Sabyasachi,Sagayam, K. Martin Pdf

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Author : Gerald A. Corzo Perez,Dimitri P. Solomatine
Publisher : John Wiley & Sons
Page : 483 pages
File Size : 46,5 Mb
Release : 2023-12-12
Category : Science
ISBN : 9781119639343

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Advanced Hydroinformatics by Gerald A. Corzo Perez,Dimitri P. Solomatine Pdf

Advanced Hydroinformatics Advanced Hydroinformatics Machine Learning and Optimization for Water Resources The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Author : Mohammad Zakwan,Abdul Wahid,Majid Niazkar,Uday Chatterjee
Publisher : Elsevier
Page : 722 pages
File Size : 42,7 Mb
Release : 2022-10-22
Category : Computers
ISBN : 9780323985178

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Water Resource Modeling and Computational Technologies by Mohammad Zakwan,Abdul Wahid,Majid Niazkar,Uday Chatterjee Pdf

Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers. Presents contributed chapters from global experts in the field of water resources from both a science and engineering perspective Includes case studies throughout, providing readers with an opportunity to understand how case specific challenges can help with computational techniques Provides basic concepts as well as a literature review on the application of computational techniques in various sectors of water resources

Author : P Varoonchotikul
Publisher : CRC Press
Page : 102 pages
File Size : 54,6 Mb
Release : 2003-01-01
Category : Technology & Engineering
ISBN : 9058096319

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Flood Forecasting Using Artificial Neural Networks by P Varoonchotikul Pdf

Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.

Author : Guy J-P. Schumann
Publisher : Elsevier
Page : 385 pages
File Size : 46,6 Mb
Release : 2021-05-21
Category : Science
ISBN : 9780128194133

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Earth Observation for Flood Applications by Guy J-P. Schumann Pdf

Earth Observation for Flood Applications: Progress and Perspectives describes the latest scientific advances in Earth Observation. With recent floods around the world becoming ever more devastating, there is a need for better science enabling more effective solutions at a fast pace. This book aims at stretching from the current flood mapping to diverse real data so as to estimate the flood risk and damage. Earth Observation for Flood Applications: Progress and Perspectives includes three parts containing each a separate but complementary topic area under floods. Each chapter unfolds various applications, case studies, and illustrative graphics. In terms of flood mapping and monitoring, the usage of multi-sensor satellite data, web-services information, microwave remote sensing methods are discussed in depth. So, this book is a valuable resource for scientists, researchers, and students in the area of earth observation. Focuses in on one specific application field of Earth Observation Brings the latest scientific advances and perspectives from experts around the world Includes extensive figures, tables, and case studies to illustrate real-life applications