Spatiotemporal Analysis of Extreme Hydrological Events

Spatiotemporal Analysis of Extreme Hydrological Events
Author: Gerald Corzo,Emmanouil Varouchakis
Publsiher: Elsevier
Total Pages: 192
Release: 2018-11-20
ISBN 10: 0128117311
ISBN 13: 9780128117316
Language: EN, FR, DE, ES & NL

Spatiotemporal Analysis of Extreme Hydrological Events Book Review:

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

Data Mining and Spatiotemporal Analysis of Extreme Precipitation

Data Mining and Spatiotemporal Analysis of Extreme Precipitation
Author: Josiah Daniel Smith
Publsiher: Unknown
Total Pages: 202
Release: 2005
ISBN 10: 1928374650XXX
ISBN 13: OCLC:67836444
Language: EN, FR, DE, ES & NL

Data Mining and Spatiotemporal Analysis of Extreme Precipitation Book Review:

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.

Precipitation

Precipitation
Author: Jesus Rodrigo Comino
Publsiher: Elsevier
Total Pages: 588
Release: 2021-08-27
ISBN 10: 0128232870
ISBN 13: 9780128232873
Language: EN, FR, DE, ES & NL

Precipitation Book Review:

Precipitation: Earth Surface Responses and Processes provides readers with a general and indispensable overview of processing rainfall processes through radar techniques, numerical models, geostatistical tools, photogrammetric methods, plots, indexes of connectivity or rainfall simulations. The handbook follows a clear and consistent format, and is structured as follows: Introduction (State-of-the-Art); Part 1. Rainfall and climate/atmosphere; Part 2. Models and applications; Part 3. Rainfall as a key actor playing the main role affecting different ecosystems. Part 3: Rainfall affecting the earth surface from different scales and landforms; Part 4: Rainfall and stormwater quality management in urban and rural areas. Precipitation is a key factor needed for understanding landscape evolution and ecosystem services. Knowing the main precipitation composition, mechanisms and processes allows for efficient land management plans and ecosystem restoration activities. However, precipitation shows different responses under specific environments depending on the climate (from the arid to the polar areas), parent material, scale (from the raindrops to catchment scale), intensity, landscape morphologies (soil sealing, rills, gullies or rivers) or human activities (agriculture or urban areas). Precipitation: Earth Surface Responses and Processes bring this information together and provides indispensable material in a holistic manner for students, scientists and lecturers from different environmental disciplines such as climatology, meteorology, geomorphology, hydrology, soil science, geography, engineering, or ecology. Includes observations on a range of earth surface processes, from climate to coastal marine ecosystems Presents key case studies in each chapter, enhancing the applicability of each chapter Introduces precipitation as a key factor to understand earth mechanisms and processes

Advances in Spatio Temporal Analysis

Advances in Spatio Temporal Analysis
Author: Xinming Tang,Yaolin Liu,Jixian Zhang,Wolfgang Kainz
Publsiher: CRC Press
Total Pages: 241
Release: 2007-08-23
ISBN 10: 0415408156
ISBN 13: 9780415408158
Language: EN, FR, DE, ES & NL

Advances in Spatio Temporal Analysis Book Review:

Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.

Ecological Modelling of River Wetland Systems

Ecological Modelling of River Wetland Systems
Author: Maria Gabriela Alvarez Mieles
Publsiher: CRC Press
Total Pages: 324
Release: 2019-05-14
ISBN 10: 1000527468
ISBN 13: 9781000527469
Language: EN, FR, DE, ES & NL

Ecological Modelling of River Wetland Systems Book Review:

Around 6% of the Earth's land surface is covered by wetlands. Wetlands play a key role in hydrological and biogeochemical cycles, delivering multiple benefits to society: sources of water supply, flood regulation, water purification, agriculture, fisheries, and biodiversity. Hence, wetland systems are of immense socio-economic as well as ecological importance. In this research, the focus was on the Abras de Mantequilla (AdM) wetland in the tropical coastal region of Ecuador, a RAMSAR site and case study area for the EU-FP7 WETwin project. The research in this thesis involves a combination of field data collection, multivariate analysis techniques, as well as numerical modelling studies. The goal was to explore the effects of changes in hydrological forcing on the hydrodynamic and ecohydraulic responses of the wetland. The study aims to contribute to the understanding of how a tropical river-wetland system functions in terms of hydrodynamics, water quality, primary production, and biotic communities. Spatial patterns of biotic communities and environmental variables are obtained as well as spatio-temporal variability of hydrodynamics, water quality, primary productivity and fish habitat-suitability conditions. In data scarce areas and countries with financial constraints, the combination of field measurements with numerical models was extremely useful and relevant, confirming that these techniques complement each other in obtaining a better understanding of the dynamics of freshwater river–wetland systems. Studies like the present research can be used to enhance awareness about the environmental services of wetlands and stimulate cooperation between all stakeholders in order to achieve more sustainable wetland management.

Water Resources Research in Northwest China

Water Resources Research in Northwest China
Author: Yaning Chen
Publsiher: Springer Science & Business Media
Total Pages: 444
Release: 2014-03-23
ISBN 10: 940178017X
ISBN 13: 9789401780179
Language: EN, FR, DE, ES & NL

Water Resources Research in Northwest China Book Review:

This book examines the possible impacts of climate change on hydrology and water resources in the vast arid region of Northwest China, which is one of the world’s largest arid places. The first chapter offers an introductory discussion of the physical geography and socioeconomic conditions in the region. Chapters 2 through 7 discuss the climate system and hydrologic system changes in the region, and assess some implications of these changes in relation to potential evapotranspiration, the hydrological cycle and spatiotemporal variations of the snow cover and glaciers as measured via remote sensing, geographic information systems, and statistical analysis. Chapters 8 and 9 focus on model description and experimental design for interpreting the hydro-climatic process, emphasizing the integration of water, climate, and land ecosystems through field observations and computer-based simulations. Chapter 10 examines some extreme hydrological events and presents a study using the historical trend method to investigate the spatial and temporal variability of changing temperature and precipitation extremes in the hyper-arid region of Northwest China. A concluding chapter discusses possible strategies for sustainable watershed management. The contributors are acknowledged experts who bring broad, relevant experience on water resources research in China’s cold and arid regions. The lessons of this volume will prove useful for understanding arid areas elsewhere in the world.

Extreme Hydrology and Climate Variability

Extreme Hydrology and Climate Variability
Author: Assefa M. Melesse,Wossenu Abtew,Gabriel Senay
Publsiher: Elsevier
Total Pages: 580
Release: 2019-07-03
ISBN 10: 0128159995
ISBN 13: 9780128159996
Language: EN, FR, DE, ES & NL

Extreme Hydrology and Climate Variability Book Review:

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

Extreme Weather and Impacts of Climate Change on Water Resources in the Dobrogea Region

Extreme Weather and Impacts of Climate Change on Water Resources in the Dobrogea Region
Author: Maftei, Carmen
Publsiher: IGI Global
Total Pages: 481
Release: 2015-04-30
ISBN 10: 1466684399
ISBN 13: 9781466684393
Language: EN, FR, DE, ES & NL

Extreme Weather and Impacts of Climate Change on Water Resources in the Dobrogea Region Book Review:

New technologies and assessment methods create improved opportunities to monitor and predict the onset of natural disasters in the era of global warming. Researchers continue to evaluate the changes in weather patterns in order to better understand natural phenomena. Extreme Weather and Impacts of Climate Change on Water Resources in the Dobrogea Region presents a descriptive environmental resource focused on a Romanian region affected by the changing climate. In discussing methods of assessment, monitoring, and prediction, the research included in this publication is an essential resource for policymakers, academicians, researchers, advanced-level students, technology developers, and government officials who wish to expand their research exposure to pertinent topics related to flooding and droughts due to climate change.

Extreme Hydrological Events New Concepts for Security

Extreme Hydrological Events  New Concepts for Security
Author: O.F. Vasiliev,P.H.A.J.M.van Gelder,E.J. Plate,M.V. Bolgov
Publsiher: Springer Science & Business Media
Total Pages: 499
Release: 2007-03-23
ISBN 10: 1402057393
ISBN 13: 9781402057397
Language: EN, FR, DE, ES & NL

Extreme Hydrological Events New Concepts for Security Book Review:

This book addresses the development of advanced methods for the prediction, the estimation of occurrence probabilities and the risk related to extreme hydrological events. It also discusses the reduction of the vulnerability of social, economic, and engineering systems to extreme hydrologic events and the decrease of their effects on such systems.

Forest Hydrology and Watershed

Forest Hydrology and Watershed
Author: Fan-Rui Meng,Altaf Arain,Qiang Li,Michael Pisaric
Publsiher: MDPI
Total Pages: 206
Release: 2019-08-20
ISBN 10: 3039213857
ISBN 13: 9783039213856
Language: EN, FR, DE, ES & NL

Forest Hydrology and Watershed Book Review:

Hydrological processes in forested watersheds are influenced by environmental, physiological, and biometric factors such as precipitation, radiation, temperature, species type, leaf area, and extent and structure of forest ecosystems. Over the past two centuries, forest coverage and forest structures have been impacted globally by anthropogenic activities, for example, forest harvesting, and conversion of forested landscapes for plantations and urbanization. In addition, since the industrial revolution, climate change has resulted in profound impacts on forest ecosystems due to higher carbon dioxide (CO2) concentration or CO2 fertilization, warmer temperatures, changes in frequency and intensity of extreme weather events and natural disturbances. As a result, hydrological processes in forested watersheds have been altered by these natural and anthropogenic factors and these changes are expected to accelerate due to future changing climatic conditions. Hence, understanding how various environmental, physiological, and physical drivers interactively influence hydrological and biogeochemical processes in forest ecosystems is critical for sustainable water supply in forested watersheds. About 21% of the global population depends on water sources that originate in forested catchments where forest coverage larger than 30%. Furthermore, there are knowledge gaps in our understanding of the mechanism of hydrological and hydrochemical cycles in forested watersheds. This Special Issue addresses these gaps in our knowledge and includes twelve papers in the following three major research themes in forest watershed areas.

Application of Pattern Recognition and Adaptive DSP Methods for Spatio temporal Analysis of Satellite Based Hydrological Datasets

Application of Pattern Recognition and Adaptive DSP Methods for Spatio temporal Analysis of Satellite Based Hydrological Datasets
Author: Anish Chand Turlapaty
Publsiher: Universal-Publishers
Total Pages: 135
Release: 2010-06-17
ISBN 10: 1599423367
ISBN 13: 9781599423364
Language: EN, FR, DE, ES & NL

Application of Pattern Recognition and Adaptive DSP Methods for Spatio temporal Analysis of Satellite Based Hydrological Datasets Book Review:

Data assimilation of satellite-based observations of hydrological variables with full numerical physics models can be used to downscale these observations from coarse to high resolution to improve microwave sensor-based soil moisture observations. Moreover, assimilation can also be used to predict related hydrological variables, e.g., precipitation products can be assimilated in a land information system to estimate soil moisture. High quality spatio-temporal observations of these processes are vital for a successful assimilation which in turn needs a detailed analysis and improvement. In this research, pattern recognition and adaptive signal processing methods are developed for the spatio-temporal analysis and enhancement of soil moisture and precipitation datasets. These methods are applied to accomplish the following tasks: (i) a consistency analysis of level-3 soil moisture data from the Advanced Microwave Scanning Radiometer - EOS (AMSR-E) against in-situ soil moisture measurements from the USDA Soil Climate Analysis Network (SCAN). This method performs a consistency assessment of the entire time series in relation to others and provides a spatial distribution of consistency levels. The methodology is based on a combination of wavelet-based feature extraction and oneclass support vector machines (SVM) classifier. Spatial distribution of consistency levels are presented as consistency maps for a region, including the states of Mississippi, Arkansas, and Louisiana. These results are well correlated with the spatial distributions of average soil moisture, and the cumulative counts of dense vegetation; (ii) a modified singular spectral analysis based interpolation scheme is developed and validated on a few geophysical data products including GODAE's high resolution sea surface temperature (GHRSST). This method is later employed to fill the systematic gaps in level-3 AMSR-E soil moisture dataset; (iii) a combination of artificial neural networks and vector space transformation function is used to fuse several high resolution precipitation products (HRPP). The final merged product is statistically superior to any of the individual datasets over a seasonal period. The results have been tested against ground based measurements of rainfall over our study area and average accuracies obtained are 85% in the summer and 55% in the winter 2007.

Hydrological Extremes

Hydrological Extremes
Author: Ashish Pandey,S.K. Mishra,M.L. Kansal,R.D. Singh,V. P. Singh
Publsiher: Springer Nature
Total Pages: 446
Release: 2020-11-07
ISBN 10: 3030591484
ISBN 13: 9783030591489
Language: EN, FR, DE, ES & NL

Hydrological Extremes Book Review:

This book presents quality technical papers representing the recent developments in the field of hydrological modeling, water management and water governance including practical applications. The content covers multifarious aspects of hydrology and water resources. It includes an application of the Hydrologic Modelling System (HEC-HMS) which has been successfully demonstrated for assessment of floods. The authors suggest an approach for the mitigation of cyclone disaster through a case study of the Phailin cyclone, whilst considering mitigating pluvial flooding, developing suitable management strategies. The book includes chapters discussing the detrended fluctuation analysis which is carried out for multifractal description of droughts. Drought characteristics are analyzed, and drought indices evolved for drought preparedness/management. The use of science in community planning under changing climate is also studied and discussed. The authors present and experimental study wherein hydraulic coefficients are calibrated by using vertical orifice. A cross flow hybrid hydrokinetic turbine is also evaluated for performance, and high head regulating radial gate designed and studied its sensitivity. This book will appeal to researchers, field practitioners, NGO and other Governmental as well as private water practitioners

Climate Change and Extreme Events

Climate Change and Extreme Events
Author: Ali Fares
Publsiher: Elsevier
Total Pages: 254
Release: 2021-02-26
ISBN 10: 0128232889
ISBN 13: 9780128232880
Language: EN, FR, DE, ES & NL

Climate Change and Extreme Events Book Review:

Climate Change and Extreme Events uses a multidisciplinary approach to discuss the relationship between climate change-related weather extremes and their impact on human lives. Topics discussed are grouped into four major sections: weather parameters, hydrological responses, mitigation and adaptation, and governance and policies, with each addressed with regard to past, present and future perspectives. Sections give an overview of weather parameters and hydrological responses, presenting current knowledge and a future outlook on air and stream temperatures, precipitation, storms and hurricanes, flooding, and ecosystem responses to these extremes. Other sections cover extreme weather events and discuss the role of the state in policymaking. This book provides a valuable interdisciplinary resource to climate scientists and meteorologists, environmental researchers, and social scientists interested in extreme weather. Provides an integrated interdisciplinary approach to how climate change impacts the hydrological system Addresses significant knowledge gaps in our understanding of climate change and extreme events Discusses the societal impacts of climate change-related weather extremes, including multilevel governance and adaptation policy

Hillslope and Watershed Hydrology

Hillslope and Watershed Hydrology
Author: Christopher J. Duffy,Xuan Yu
Publsiher: MDPI
Total Pages: 254
Release: 2018-09-14
ISBN 10: 3038429511
ISBN 13: 9783038429517
Language: EN, FR, DE, ES & NL

Hillslope and Watershed Hydrology Book Review:

This book is a printed edition of the Special Issue "Hillslope and Watershed Hydrology" that was published in Water

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Highlighting the Importance of Big Data Management and Analysis for Various Applications
Author: Mohammad Moshirpour,Behrouz Far,Reda Alhajj
Publsiher: Springer
Total Pages: 168
Release: 2017-08-22
ISBN 10: 3319602551
ISBN 13: 9783319602554
Language: EN, FR, DE, ES & NL

Highlighting the Importance of Big Data Management and Analysis for Various Applications Book Review:

This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.

Inland Flood Hazards

Inland Flood Hazards
Author: Ellen E. Wohl
Publsiher: Cambridge University Press
Total Pages: 498
Release: 2000-07-03
ISBN 10: 9780521624190
ISBN 13: 0521624193
Language: EN, FR, DE, ES & NL

Inland Flood Hazards Book Review:

This edited volume was originally published in 2000 and presents a comprehensive, interdisciplinary review of issues related to inland flood hazards. It addresses physical controls on flooding, flood processes and effects, and responses to flooding, from the perspective of human, aquatic, and riparian communities. Individual chapter authors are recognized experts in their fields who draw on examples and case studies of inland flood hazards from around the world. This volume is unusual among treatments of flood hazards in that it addresses how the non-occurrence of floods, in association with flow regulation and other human manipulation of river systems, may create hazards for aquatic and riparian communities. This book will be a valuable resource for everyone associated with inland flood hazards: professionals in government and industry, and researchers and graduate students in civil engineering, geography, geology, hydrology, hydraulics, and ecology.

Statistical Analysis and Stochastic Modelling of Hydrological Extremes

Statistical Analysis and Stochastic Modelling of Hydrological Extremes
Author: Hossein Tabari
Publsiher: MDPI
Total Pages: 294
Release: 2019-10-28
ISBN 10: 3039216643
ISBN 13: 9783039216642
Language: EN, FR, DE, ES & NL

Statistical Analysis and Stochastic Modelling of Hydrological Extremes Book Review:

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.

Risk Analysis in Forest Management

Risk Analysis in Forest Management
Author: Klaus von Gadow
Publsiher: Springer Science & Business Media
Total Pages: 241
Release: 2013-06-29
ISBN 10: 9401729050
ISBN 13: 9789401729055
Language: EN, FR, DE, ES & NL

Risk Analysis in Forest Management Book Review:

Due to the long-term planning horizons and the great variety of natural, economic, and operational hazards affecting forest ecosystems, uncertainty and multiple risk are typical aspects of forest management. Applications of risk analysis are surprisingly rare, in spite of the rich assortment of sophisticated forest planning tools that are available today. The objective of this particular volume within the book series Managing Forest Ecosystems is to present state-of-the-art research results, concepts, and techniques regarding the assessment and evaluation of natural hazards and the analysis of risk and uncertainty relating to forest management. Various aspects of risk analysis are covered, including examples of specific modelling tools. The book is divided into three sections covering ecological perspectives, applications in engineering and planning, and methods applicable to economics and policy.

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment
Author: Viviana Maggioni,Christian Massari
Publsiher: Elsevier
Total Pages: 438
Release: 2019-06-06
ISBN 10: 0128149000
ISBN 13: 9780128149003
Language: EN, FR, DE, ES & NL

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment Book Review:

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models. The book provides a detailed overview of remotely sensed observations, current and future satellite missions useful for hydrologic studies and water resources engineering, and a review of hydroclimatic hazards. Given these tools, readers can improve their abilities to monitor, model and predict these extremes with remote sensing. In addition, the book covers multivariate hazards, like landslides, in case studies that analyze the combination of natural hazards and their impact on the natural and built environment. Finally, it ties hydroclimatic hazards into the Sendai Framework, providing another set of tools for reducing disaster impacts. Emphasizes recent and future satellite missions to study, monitor and forecast hydroclimatic hazards Provides a complete overview and differentiation of remotely sensed products that are useful for monitoring extreme hydroclimatic and related events Covers real-life examples and applications of integrating remote sensing products to study complex multi-hydroclimatic hazards

Climate Change Impact on the Spatio Temporal Variability of Hydro Climate Extremes

Climate Change Impact on the Spatio Temporal Variability of Hydro Climate Extremes
Author: Anonim
Publsiher: Unknown
Total Pages: 252
Release: 2013
ISBN 10: 1928374650XXX
ISBN 13: OCLC:900793234
Language: EN, FR, DE, ES & NL

Climate Change Impact on the Spatio Temporal Variability of Hydro Climate Extremes Book Review:

The rising temperature of the earth due to climate change has shown to alter the variations of hydro-climate variables, including their intensities, frequencies and durations. Extreme events such as floods are, in particular, susceptible to any disturbances in climate cycles. As such it is important to provide policymakers with sufficient knowledge about the probable impacts of climate change on hydrologic extremes and most importantly on floods, which have the highest impacts on the societies. For this reason analysis of hydro-climate extremes is commonly performed using data at each site (or grid cell), however due to the limited number of extreme events, these analyses are not robust. Current methods, such as the regional frequency analysis, which combine data from different locations are incapable of incorporating the spatial structure of the data as well as other explanatory variables, and do not explicitly, assess the uncertainties. In this thesis the spatial hierarchical Bayesian model is proposed for hydro-climate extreme analyses using data recorded at each site or grid. This method combines limited number of data from different locations, estimates the uncertainties in different stages of the hierarchy, incorporates additional explanatory variables (covariates), and can be used to estimate extreme events at un-gaged sites. The first project develops a spatial hierarchical Bayesian method to model the extreme runoffs over two spatial domains in the Columbia River Basin, U.S. The model is also employed to estimate floods with different return levels within time slices of fifteen years in order to detect possible trends in runoff extremes. Continuing on the extreme analysis, the impact of climate change on runoff extremes is investigated over the whole Pacific Northwest (PNW). This study aims to address the question of how the runoff extremes will change in the future compared to the historical time period, investigate the different behaviors of the regional climate models (RCMs) regarding the runoff extremes, and assess the seasonal variations of runoff extremes. Given the increasing number of climate model simulations the goal of the third project is to provide a multi-model ensemble average of hydro-climate extremes and characterize the inherent uncertainties. Outputs from several regional climate models provided by NARCCAP are considered for the analysis in all seasons. Three combination scenarios are defined and compared for multi-modeling of extreme runoffs. The biases of each scenario are calculated and the scenario with the least bias is selected for projecting seasonal runoff extremes. The aim of the fourth project is to quantify and compare the uncertainties regarding global climate models to the ones from the hydrologic model structures in climate change impact studies. Various methods have been proposed to downscale the coarse resolution General Circulation Model (GCM) climatological variables to the fine scale regional variables; however fewer studies have been focused on the selection of GCM predictors. Additionally, the results obtained from one downscaling technique may not be robust and the uncertainties related to the downscaling scheme are not realized. To address these issues, in the fifth study we employed Independent Component Analysis (ICA) for predictor selection which determines spatially independent GCM variables (as discussed in Appendix A). Cross validation of the independent components is employed to find the predictor combination that describes the regional precipitation over the upper Willamette basin with minimum error. These climate variables along with the observed precipitation are used to calibrate three downscaling models: Multi Linear Regression (MLR), Support Vector Machine (SVM) and Adaptive-Network-Based Fuzzy Inference System (ANFIS).