Spatiotemporal Analysis of Extreme Hydrological Events

Spatiotemporal Analysis of Extreme Hydrological Events
Author: Gerald Corzo
Publisher: Elsevier
Total Pages: 194
Release: 2018-11-20
Genre: Science
ISBN: 0128117311

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modelling Provides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their work Includes a variety of case studies making the context of the book relatable to everyday working situations

Extreme Hydrology and Climate Variability

Extreme Hydrology and Climate Variability
Author: Assefa M. Melesse
Publisher: Elsevier
Total Pages: 580
Release: 2019-07-03
Genre: Science
ISBN: 0128159995

Extreme Hydrology and Climate Variability: Monitoring, Modelling, Adaptation and Mitigation is a compilation of contributions by experts from around the world who discuss extreme hydrology topics, from monitoring, to modeling and management. With extreme climatic and hydrologic events becoming so frequent, this book is a critical source, adding knowledge to the science of extreme hydrology. Topics covered include hydrometeorology monitoring, climate variability and trends, hydrological variability and trends, landscape dynamics, droughts, flood processes, and extreme events management, adaptation and mitigation. Each of the book's chapters provide background and theoretical foundations followed by approaches used and results of the applied studies. This book will be highly used by water resource managers and extreme event researchers who are interested in understanding the processes and teleconnectivity of large-scale climate dynamics and extreme events, predictability, simulation and intervention measures. Presents datasets used and methods followed to support the findings included, allowing readers to follow these steps in their own research Provides variable methodological approaches, thus giving the reader multiple hydrological modeling information to use in their work Includes a variety of case studies, thus making the context of the book relatable to everyday working situations for those studying extreme hydrology Discusses extreme event management, including adaption and mitigation

Statistical Analysis and Stochastic Modelling of Hydrological Extremes

Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Author: Hossein Tabari
Publisher: MDPI
Total Pages: 294
Release: 2019-10-28
Genre: Science
ISBN: 3039216643

Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.

Hydrological Extremes

Hydrological Extremes
Author: Lars Gottschalk
Publisher: IAHS Press
Total Pages: 332
Release: 1999
Genre: Drought forecasting
ISBN: 9781901502855

Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction

Spatio-temporal characterisation of drought: data analytics, modelling, tracking, impact and prediction
Author: Vitali Diaz Mercado
Publisher: CRC Press
Total Pages: 135
Release: 2022-02-10
Genre: Science
ISBN: 100061283X

Studies of drought have increased in light of new data availability and advances in spatio-temporal analysis. However, the following gaps still need to be filled: 1) methods to characterise drought that explicitly consider its spatio-temporal features, such as spatial extent (area) and pathway; 2) methods to monitor and predict drought that include the above-mentioned characteristics and 3) approaches for visualising and analysing drought characteristics to facilitate interpretation of its variation. This research aims to explore, analyse and propose improvements to the spatio-temporal characterisation of drought. Outcomes provide new perspectives towards better prediction. The following objectives were proposed. 1) Improve the methodology for characterising drought based on the phenomenon’s spatial features. 2) Develop a visual approach to analysing drought variations. 3) Develop a methodology for spatial drought tracking. 4) Explore machine learning (ML) techniques to predict crop-yield responses to drought. The four objectives were addressed and results are presented. Finally, a scope was formulated for integrating ML and the spatio-temporal analysis of drought. Proposed scope opens a new area of potential for drought prediction (i.e. predicting spatial drought tracks and areas). It is expected that the drought tracking and prediction method will help populations cope with drought and its severe impacts.

Uncertainty Analysis of Extreme Hydrological Events

Uncertainty Analysis of Extreme Hydrological Events
Author: Majid Mirzaei
Publisher: LAP Lambert Academic Publishing
Total Pages: 228
Release: 2012
Genre:
ISBN: 9783659303258

With the increase of both magnitude and frequency of extreme hydrological events such as drought and flooding, the significance of adequately modeling extreme hydrological events is fully recognized. Estimation of extreme rainfall/flood for various return periods is of prime importance for hydrological design or risk assessment. However, due to the lack of knowledge and data limitation, uncertainty arising from extrapolating beyond available data is huge. In this book, different sources of uncertainty in statistical modeling of extreme hydrological events were studied in a systematic way. This was done by focusing on several key uncertainty sources using different rainfall duration and time distribution of rainfall with various return periods.

Data Mining and Spatiotemporal Analysis of Extreme Precipitation

Data Mining and Spatiotemporal Analysis of Extreme Precipitation
Author: Josiah Daniel Smith
Publisher:
Total Pages: 202
Release: 2005
Genre: Drought forecasting
ISBN:

Abstract: The Prairie Pothole Region in the Northern Great Plains (PPR-NGP) of the United States frequently fluctuates from drought to deluge. The historical hydrologic record for this region reveals periods of intense, prolonged drought intermingled with rapid and destructive flooding. Drought or flooding is initiated and sustained by deficit or surplus precipitation, respectively. The weather events that accompany these disasters are characterized by large spatial and temporal variations from normal in the frequency and intensity. The unique hydrology and geology of the region makes the PPR-NGP highly sensitive to these weather perturbations. The future looks to bring more warming and thus more intense precipitation to the region. As the frequency of extreme precipitation events rises, the magnitude and occurrence of floods and droughts will be elevated. The objective of this research was to determine the factors controlling precipitation trends, drought, and flooding in the study area. Also, the weather conditions preceding the disastrous events were observed and characterized. The analysis was focused on the effects of varying precipitation intensity, frequency, and antecedent conditions as they pertain to PPR-NGP drought and Red River flooding. The results may be applied to better predict the future trends of flood and drought response to extreme precipitation. Data mining was performed on available weather station observations to extract significant information and use it to derive valuable insight into PPR-NGP drought and flooding behavior. Hydrometeorological indices calculated over various timescales were applied to assess the intensity and frequency of rainfall, the change in snow depths, and the deviation from normal precipitation. Flood discharge hydrographs were classified based on shape parameters and matched to precipitation characteristics. Spatiotemporal and statistical operations were employed to determine the controlling factors of precipitation trends, drought, summer floods, and spring floods in the PPR-NGP and Red River Basin. Current precipitation and stream flow trends indicate the potential for enhanced flood and drought activity. Precipitation intensity and frequency are ascending, but the intensity is increasing more than the frequency of monthly events. The result is that Red River discharge rates are rising six times faster than total precipitation over the basin. The rise in stream flow rates can be explained by elevated precipitation intensity and to some extent precipitation frequency during key flood months. However, the most critical flood month of April has a decreasing total precipitation trend and yet the highest rise in discharge rate. These trends come about because overall fall and winter precipitation rates are on the rise. The antecedent precipitation is stored on and in the frozen ground until released by the spring thaw, which usually takes place in April. Thus, the risk for larger April floods is affected not by a single month but by a half year's worth of increasing precipitation conditions. Large fluctuations in monthly drought conditions were determined to be equally controlled by both the frequency and intensity of precipitation events. Extreme drought took a minimum of two to three months both to develop and dissipate from a semi-arid state. Though, the biggest shifts in month-to-month conditions were observed when both precipitation intensity and frequency were well above or below normal over the same area. So the onset or end of an extreme drought took place more rapidly when the intensity and frequency changes were great and harmonized. Similarly, the spatial extent of the most intense (on average) drought cells was surprisingly little, because the overlap of large precipitation intensity and frequency shifts typically occurred over a small area. Also, the drought duration usually increased when severity reached a higher level, so that multiple months of moderate drought reduced the overall intensity for all but the most severe parts of the cells. The intensity of precipitation events was the main controlling factor in Red River summer flood occurrence and magnitude. Antecedent conditions were not essential to the development of summer floods. Conditions were often near normal prior to a flood because more of the normal rain fell in a fewer number of more intense events. Conversely, the magnitude and occurrence of spring floods was controlled by antecedent precipitation and fast snow melt rates. A significant snow pack was observed prior to both major and minor floods, while a non-flood year had little snow pack over the basin. Fall soil moisture, winter snowfall, and a fast rate of stored water release all had to be present at sufficient levels to trigger a large flood response.

Climate Impacts on Extreme Weather

Climate Impacts on Extreme Weather
Author: Victor Ongoma
Publisher: Elsevier
Total Pages: 302
Release: 2022-06-10
Genre: Science
ISBN: 0323904203

Climate Impacts on Extreme Weather: Current to Future Changes on a Local to Global Scale presents fundamentals and advances in the science of weather and climate extremes, building on the existing knowledge by using regional and global case studies. The book provides an analysis of historical and future changes, physical processes, measurements, space-time variability, socioeconomic impact, and risk management. It provides policy makers, researchers and students working in climate change with a thorough reference for understanding the diverse impacts of extreme weather and climate change on varying geographic scales. With contributions from experts across the globe, the book utilizes methods, case studies, modeling, and analysis to present valuable, up-to-date knowledge about the interaction of climate change, weather and the many implications of the changing environment. Offers comprehensive, up-to-date coverage of climate research related to extremes Includes both regional and global case studies for applying research to practice, providing a deeper understanding of the science Presents both observed and projected findings using primary research and models

Hydrological Extremes in a Changing Environment: Modelling and Attribution Analysis

Hydrological Extremes in a Changing Environment: Modelling and Attribution Analysis
Author: Yanlai Zhou
Publisher: IWA Publishing
Total Pages: 0
Release: 2022-11-15
Genre: Science
ISBN: 9781789063615

This book focuses on climate change and hydrological extremes, i.e. droughts and floods, which are globally important natural hazards with associated costly impacts on society and the environment. Floods and droughts result from the superposition of different processes at various space and time scales: physical processes in the atmosphere, catchments, the river systems, and anthropogenic activities. However, the characteristics of hydrological extremes have been altered due to climate change and variability, such that approaches for their detection, attribution, and the frequency of occurrence need to be revisited as they are no longer stationary processes. For more accurate estimation of hydrological extremes under nonstationary and uncertain conditions, there is a need for holistic assessments. Time–frequency analysis, hydrological modeling, physical-cause analysis, multivariate statistical analysis, and uncertainty analysis are powerful tools for detecting, attributing, and making frequency analysis of nonstationary hydrological extremes in a changing climate. Both nonstationarity and uncertainty of frequency analysis of extreme hydrological events should be integrated to reveal the possible operational alternatives to the assumption of stationarity in hydrological extremes frequency analysis. In Focus – a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.

Advanced Hydroinformatics

Advanced Hydroinformatics
Author: Gerald A. Corzo Perez
Publisher: John Wiley & Sons
Total Pages: 483
Release: 2023-12-12
Genre: Science
ISBN: 1119639344

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.