Evaluating the Performance of Process-based and Machine Learning Models for Rainfall-runoff Simulation with Application of Satellite and Radar Precipitation Products - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evaluating the Performance of Process-based and Machine Learning Models for Rainfall-runoff Simulation with Application of Satellite and Radar Precipitation Products write by Amrit Bhusal. This book was released on 2023. Evaluating the Performance of Process-based and Machine Learning Models for Rainfall-runoff Simulation with Application of Satellite and Radar Precipitation Products available in PDF, EPUB and Kindle. Hydrology Modeling using HEC-HMS (Hydrological Engineering Centre-Hydrologic Modeling System) is accepted globally for event-based or continuous simulation of the rainfall-runoff operation. Similarly, Machine learning is a fast-growing discipline that offers numerous alternatives suitable for hydrology research's high demands and limitations. Conventional and process-based models such as HEC-HMS are typically created at specific spatiotemporal scales and do not easily fit the diversified and complex input parameters. Therefore, in this research, the effectiveness of Random Forest, a machine learning model, was compared with HEC-HMS for the rainfall-runoff process. In addition, Point gauge observations have historically been the primary source of the necessary rainfall data for hydrologic models. However, point gauge observation does not provide accurate information on rainfall's spatial and temporal variability, which is vital for hydrological models. Therefore, this study also evaluates the performance of satellite and radar precipitation products for hydrological analysis. The results revealed that integrated Machine Learning and physical-based model could provide more confidence in rainfall-runoff and flood depth prediction. Similarly, the study revealed that radar data performance was superior to the gauging station's rainfall data for the hydrologic analysis in large watersheds. The discussions in this research will encourage researchers and system managers to improve current rainfall-runoff simulation models by application of Machine learning and radar rainfall data.
Satellite Precipitation Measurement
Satellite Precipitation Measurement - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Satellite Precipitation Measurement write by Vincenzo Levizzani. This book was released on 2020-04-14. Satellite Precipitation Measurement available in PDF, EPUB and Kindle. This book offers a complete overview of the measurement of precipitation from space, which has made considerable advancements during the last two decades. This is mainly due to the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) mission, CloudSat and a carefully maintained constellation of satellites hosting passive microwave sensors. The book revisits a previous book, Measuring Precipitation from Space, edited by V. Levizzani, P. Bauer and F. J. Turk, published with Springer in 2007. The current content has been completely renewed to incorporate the advancements of science and technology in the field since then. This book provides unique contributions from field experts and from the International Precipitation Working Group (IPWG). The book will be of interest to meteorologists, hydrologists, climatologists, water management authorities, students at various levels and many other parties interested in making use of satellite precipitation data sets.
Impacts of Global Change on the Hydrological Cycle in West and Northwest Africa
Impacts of Global Change on the Hydrological Cycle in West and Northwest Africa - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Impacts of Global Change on the Hydrological Cycle in West and Northwest Africa write by Peter Speth. This book was released on 2010-08-12. Impacts of Global Change on the Hydrological Cycle in West and Northwest Africa available in PDF, EPUB and Kindle. Africa is highly vulnerable to the impacts of climate change. In particular shortage of fresh water is expected to be the dominant water problem for West and Northwest Africa of the 21th century. In order to solve present and projected future problems concerning fresh water supply, a highly interdisciplinary approach is used in the book. Strategies are offered for a sustainable and future-oriented water management. Based on different scenarios, a range of management options is suggested with the aid of Information Systems and Spatial Decision Support Systems for two river catchments in Northwest and West Africa: the wadi Drâa in south-eastern Morocco and the Ouémé basin in Benin. The selected catchments are representative in the sense: "what can be learnt from these catchments for other similar catchments?
Satellite Rainfall Applications for Surface Hydrology
Satellite Rainfall Applications for Surface Hydrology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Satellite Rainfall Applications for Surface Hydrology write by Mekonnen Gebremichael. This book was released on 2009-12-02. Satellite Rainfall Applications for Surface Hydrology available in PDF, EPUB and Kindle. With contributions from a panel of researchers from a wide range of fields, the chapters of this book focus on evaluating the potential, utility and application of high resolution satellite precipitation products in relation to surface hydrology.
Flood Forecasting Using Machine Learning Methods
Flood Forecasting Using Machine Learning Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Flood Forecasting Using Machine Learning Methods write by Fi-John Chang. This book was released on 2019-02-28. Flood Forecasting Using Machine Learning Methods available in PDF, EPUB and Kindle. 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.
