Flood Forecasting Using Artificial Neural Network Ann In Maran Pahang
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Flood Forecasting Using Artificial Neural Network Ann In Maran Pahang
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Author : Nur Atiyah Dinie Mat Arifin
language : en
Publisher:
Release Date : 2014
Flood Forecasting Using Artificial Neural Network Ann In Maran Pahang written by Nur Atiyah Dinie Mat Arifin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Flood forecasting categories.
Proceedings Of The 12th National Technical Seminar On Unmanned System Technology 2020
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Author : Khalid Isa
language : ms
Publisher: Springer
Release Date : 2021-09-25
Proceedings Of The 12th National Technical Seminar On Unmanned System Technology 2020 written by Khalid Isa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-25 with Technology & Engineering categories.
This book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS’20) held on October 27–28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.
Flood Forecasting Using Artificial Neural Networks
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Author : P. Varoonchotikul
language : en
Publisher: CRC Press
Release Date : 2017-10-02
Flood Forecasting Using Artificial Neural Networks written by P. Varoonchotikul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-02 with categories.
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.
Tropical Rainforest Responses To Climatic Change
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Author : Mark B. Bush
language : en
Publisher: Springer Science & Business Media
Release Date : 2007
Tropical Rainforest Responses To Climatic Change written by Mark B. Bush and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Nature categories.
The goal of this book is to provide a current overview of the impacts of climate change on tropical forests, to investigate past, present, and future climatic influences on the ecosystems with the highest biodiversity on the planet.Tropical Rainforest Responses to Climatic Change will be the first book to examine how tropical rain forest ecology is altered by climate change, rather than simply seeing how plant communities were altered. Shifting the emphasis onto ecological processes e.g. how diversity is structured by climate and the subsequent impact on tropical forest ecology, provides the reader with a more comprehensive coverage. A major theme of this book that emerges progressively is the interaction between humans, climate and forest ecology. While numerous books have appeared dealing with forest fragmentation and conservation, none have explicitly explored the long term occupation of tropical systems, the influence of fire and the future climatic effects of deforestation, coupled with anthropogenic emissions. Incorporating modelling of past and future systems paves the way for a discussion of conservation from a climatic perspective, rather than the usual plea to stop logging.
Riverbank Filtration
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Author : C. Ray
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-01
Riverbank Filtration written by C. Ray and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-01 with Technology & Engineering categories.
Chittaranjan Ray, Ph. D. , P. E. University of Hawaii at Mãnoa Honolulu, Hawaii, United States Jürgen Schubert, M. Sc. Stadtwerke Düsseldorf AG Düsseldorf, Germany Ronald B. Linsky National Water Research Institute Fountain Valley, California, United States Gina Melin National Water Research Institute Fountain Valley, California, United States 1. What is Riverbank Filtration? The purpose ofthis book is to show that riverbank filtration (RBF) isa low-cost and efficient alternative water treatment for drinking-water applications. There are two immediate benefits to the increased use of RBF: Minimized need for adding chemicals like disinfectants and coagulants to surface water to control pathogens. Decreased costs to the community without increased risk to human health. Butwhat,exactly, isRBF? In humid regions, river water naturally percolates through the ground into aquifers (which are layers of sand and gravel that contain water underground) during high-flow conditions. In arid regions, most rivers lose flow, and the percolating water passes through soil and aquifer material until it reaches the water table. During these percolation processes, potential contaminants present in river water are filtered and attenuated. If there are no other contaminants present in the aquifer or ifthe respective contaminants are present at lower concentrations, the quality of water in the aquifer can be ofhigher quality than that found in theriver. In RBF, production wells — which are placed near the banks ofrivers —pump large quantities ofwater.
Flood Forecasting Using Machine Learning Methods
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Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28
Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
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.
Opportunistic Networks
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Author : Anshul Verma
language : en
Publisher: CRC Press
Release Date : 2021-08-18
Opportunistic Networks written by Anshul Verma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Computers categories.
The opportunistic network is an emerging and recent area of research. To make this research area more adaptable for practical and industrial use, there is a need to further investigate several research challenges in all aspects of opportunistic networks. Therefore, Opportunistic Networks: Fundamentals, Applications and Emerging Trends provides theoretical, algorithmic, simulation, and implementation-based research developments related to fundamentals, applications, and emerging research trends in opportunistic networks. The book follows a theoretical approach to describe fundamentals to beginners and incorporates a practical approach depicting the implementation of real-life applications to intermediate and advanced readers. This book is beneficial for academicians, researchers, developers, and engineers who work in or are interested in the fields related to opportunistic networks, delay tolerant networks, and intermittently connected ad hoc networks. This book also serves as a reference book for graduate and postgraduate courses in computer science, computer engineering, and information technology streams.
Flood Forecasting At Kinabatangan River Sabah By Utilizing Artificial Neural Network Ann
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Author : Wan Nurulhafizah Bt Abd Razak
language : en
Publisher:
Release Date : 2015
Flood Forecasting At Kinabatangan River Sabah By Utilizing Artificial Neural Network Ann written by Wan Nurulhafizah Bt Abd Razak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Dissertations, Academic categories.
Flood event is among the most influential disaster in Malaysia .Therefore, the developing of flood forecasting model is to minimize the effects of flood and to achieve a model with high accuracy by utilizing Artificial Neural Network (ANN). Artificial Neural Network is a highly non-linear and can capture the complex interactions among input variables in a system without any prior knowledge about the nature of these interactions. Nowadays, ANN is widely used in prediction and forecasting in water resources. The area of study the flood forecasting is carried out at the Balat Station, Kinabatangan River, Sabah where the hourly water level data is collected from Department of Irrigation and Drainage (DID) from year 2000 until 2014. The results indicated that the model develop a highest accuracy is 6 hour time interval for 4000 iteration where the NSC result is 0.996 with lower RMSE 155.341 compared to others iteration and time interval. This modal achieved 100% at allowable error less than 500 mm which is show the prediction of water level. As a conclusion, this model shows high accuracy and water level can be used alone. This can be applied in the real world to give out warning on imminent flood.
Crossword Solver
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Author : Anne Stibbs
language : en
Publisher: Bloomsbury Pub Limited
Release Date : 2000
Crossword Solver written by Anne Stibbs and has been published by Bloomsbury Pub Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Games categories.
An aid to solving crosswords. It contains over 100,000 potential solutions, including plurals, comparative and superlative adjectives, and inflections of verbs. The list extends to first names, place names and technical terms, euphemisms and compound expressions, as well as abbreviations.
A Study On Flood Forecasting At Sungai Lembing Using Artificial Neural Network
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Author : Siti Noor Alina Mohd Zulkaply
language : en
Publisher:
Release Date : 2014
A Study On Flood Forecasting At Sungai Lembing Using Artificial Neural Network written by Siti Noor Alina Mohd Zulkaply and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Flood forecasting categories.