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Book Stochastic simulation of near surface atmospheric forcings for distributed hydrology

Download or read book Stochastic simulation of near surface atmospheric forcings for distributed hydrology written by Sheng Chen and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce travail de thèse propose de nouveaux concepts et outils pour des activités de simulation stochastique du temps ciblant les besoins spécifiques de l'hydrologie. Nous avons utilisé une zone climatique contrastée dans le sud-est de la France, les Cévennes-Vivarais, qui est très attractive pour les aléas hydrologiques et les changements climatiques.Notre point de vue est que les caractéristiques physiques (humidité du sol, débit) liées aux préoccupations quotidiennes sont directement liées à la variabilité atmosphérique à l'échelle des bassins. Pour la modélisation de multi-variable, la covariabilité avec les précipitations est d'abord considérée.La première étape du thèse est dédiée à la prise en compte de l'hétérogénéité de la précipitation au sein du simulateur de pluie SAMPO [Leblois et Creutin, 2013]. Nous regroupons les pas de temps dans les types de pluie qui sont organisés dans le temps. Deux approches sont testées pour la simulation: un modèle semi-markovienne et un modèle de ré-échantillonnage pour la séquence des types de pluie historiques. Grâce au regroupement, toutes sortes de précipitations sont desservies par un type de pluie spécifique. Dans une zone plus vaste, où l'hypothèse d'homogénéité climatique n'est plus valide, une coordination doit être introduite entre les séquences de types de pluie sur les sous-zones délimitées, en formant à plus grande échelle.Nous avons d'abord étudié une coordination de modèle de Markov, en appliquant des durées de séjour observées par un algorithme glouton. Cet approche respecte les accumulations de longue durée et la variabilité interannuelle, mais les valeurs extrêmes de précipitation sont trop faibles. En revanche, le ré-échantillonnage est plus facile à mettre en œuvre et donne un comportement satisfaisant pour la variabilité à court terme. Cependant, il manque une variabilité inter-annuelle. Les deux accès souffrent de la délimitation stricte des zones homogènes et des types de précipitations homogènes.Pour ces raisons, une approche complètement différente est également envisagée, où les pluies totales sont modélisées conjointement en utilisant la copule, puis désagrégés sur la petite échelle en utilisant une simulation conditionnelle géostatistique.Enfin, la technique de la copule est utilisée pour relier les autres variables météorologiques (température, rayonnement solaire, humidité, vitesse du vent) aux précipitations. Puisque la modélisation multivariée vise à être pilotée par la simulation des précipitations, la copule doit être exécutée en mode conditionnel. La boîte à outils réalisée a déjà été utilisée dans des explorations scientifiques, elle est maintenant disponible pour tester aux applications réelles. En tant qu'approche pilotée par les données, elle est également adaptable à d'autres conditions climatiques.

Book Stochastic Modeling in Hydrogeology

Download or read book Stochastic Modeling in Hydrogeology written by J. Jaime Gómez-Hernández and published by Frontiers Media SA. This book was released on 2021-07-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Andres Alcolea is employed by Geo-Energie Suisse AG and is the funder and CEO of HydroGeoModels. All other Topic Editors declare no competing interests with regards to the Research Topic subject

Book Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objectives The current global environmental crisis has reinforced the need for developing flexible mathematical models to obtain a better understanding of environmental problems so that effective remedial action can be taken. Because natural phenomena occurring in hydrology and environmental engineering usually behave in random and probabilistic fashions, stochastic and statistical models have major roles to play in the protection and restoration of our natural environment. Consequently, the main objective of this edited volume is to present some of the most up-to-date and promising approaches to stochastic and statistical modelling, especially with respect to groundwater and surface water applications. Contents As shown in the Table of Contents, the book is subdivided into the following main parts: GENERAL ISSUES PART I PART II GROUNDWATER PART III SURFACE WATER PART IV STOCHASTIC OPTIMIZATION PART V MOMENT ANALYSIS PART VI OTHER TOPICS Part I raises some thought-provoking issues about probabilistic modelling of hydro logical and environmental systems. The first two papers in Part I are, in fact, keynote papers delivered at an international environmetrics conference held at the University of Waterloo in June, 1993, in honour of Professor T. E. Unny. In his keynote pa per, Dr. S. J. Burges of the University of Washington places into perspective the historical and future roles of stochastic modelling in hydrology and environmental engineering. Additionally, Dr. Burges stresses the need for developing a sound scien tific basis for the field of hydrology. Professor P. E.

Book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Book Constrained Stochastic Climate Simulation

Download or read book Constrained Stochastic Climate Simulation written by David Carleton Curtis and published by . This book was released on 1982 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: A stochastic, multivariate, hydrometeorological data generation algorithm is presented. Hourly values of precipitation, cloud cover, shortwave radiation, longwave radiation, temperature, dewpoint, wind speed, and wind direction are jointly generated for the two-meter level. The procedure is designed to provide coherent sets of input data for models of various land surface processes. The model's flexibility and economy allow the study of land surface responses to different atmospheric forcings. Generated data plots, model output statistics, and generated mean diurnal curves are compared to observations for the months of January and July at two sites, Boston, Massachusetts and Dodge City, Kansas. Data representing three "climates", normal, wet, and temperature-biased were generated and applied to a detailed model of the land surface. The resulting energy fluxes across the land-atmosphere interface are reviewed and the differences are noted

Book Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 1994 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrefaceDedicationAcknowledgementsPart I: General Issues Part II: GroundwaterPart III: Surface WaterPart IV: Stochastic Optimization. Part V: Moment AnalysisPart VI: Other TopicsAuthor IndexSubject Index

Book Stochastic Hydrology  HB

    Book Details:
  • Author : Dr. P. Jayarami Reddy
  • Publisher : Laxmi Publications, Ltd.
  • Release : 2021
  • ISBN :
  • Pages : 280 pages

Download or read book Stochastic Hydrology HB written by Dr. P. Jayarami Reddy and published by Laxmi Publications, Ltd.. This book was released on 2021 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer. This book was released on 1994-08-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 1: (edited by Keith W. Hipel) In this landmark collection of papers, highly respected scientists and engineers from around the world present the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis. Volume 1 is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses. Volume 2: (edited by Keith W. Hipel) World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction. Volume 2 is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences. Volume 3: (edited by Keith W. Hipel; A. Ian McLeod; U.S. Panu; Vijay P. Singh) International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Volume 3 constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences. Volume 4: (edited by Keith W. Hipel; Liping Fang) In this landmark set of papers, experts from around the world present the latest and most promising approaches to both the theory and practice of effective environmental management. To achieve sustainable development, organizations and individual citizens must comply with environmental laws and regulations. Accordingly, a major contribution of this book is the presentation of original techniques for designing effective environmental policies, regulations, inspection procedures and monitoring systems. Interesting methods for modelling risk and decision making problems are discussed from an environmental management perspective. Moreover, knowledge-based techniques for handling environmental problems are also investigated. Finally, the last main part of the book describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives. Volume 4 is of direct interest to researchers, teachers, students and practitioners concerned with the latest developments in environmental management and sustainable development.

Book Handbook of Engineering Hydrology  Three Volume Set

Download or read book Handbook of Engineering Hydrology Three Volume Set written by Saeid Eslamian and published by CRC Press. This book was released on 2018-10-03 with total page 1920 pages. Available in PDF, EPUB and Kindle. Book excerpt: While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology, and includes contributions from experts from more than 30 countries. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change

Book Handbook of Engineering Hydrology

Download or read book Handbook of Engineering Hydrology written by Saeid Eslamian and published by CRC Press. This book was released on 2014-03-21 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change.It also provides updated material on hydrological science and engine

Book Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.

Book Stochastic Modeling of Hydrologic  Intermittent Daily Processes

Download or read book Stochastic Modeling of Hydrologic Intermittent Daily Processes written by Jerson Kelman and published by . This book was released on 1977 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Statistical Analysis and Stochastic Modelling of Hydrological Extremes

Download or read book Statistical Analysis and Stochastic Modelling of Hydrological Extremes written by Hossein Tabari and published by MDPI. This book was released on 2019-10-28 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Land Surface Observation  Modeling And Data Assimilation

Download or read book Land Surface Observation Modeling And Data Assimilation written by Shunlin Liang and published by World Scientific. This book was released on 2013-09-23 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative.This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation.Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today's earth science and modeling communities.

Book Data Assimilation for Atmospheric  Oceanic and Hydrologic Applications

Download or read book Data Assimilation for Atmospheric Oceanic and Hydrologic Applications written by SEON KI PARK and published by Springer Science & Business Media. This book was released on 2009-02-08 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data assimilation (DA) has been recognized as one of the core techniques for modern forecasting in various earth science disciplines including meteorology, oceanography, and hydrology. Since early 1990s DA has been an important s- sion topic in many academic meetings organized by leading societies such as the American Meteorological Society, American Geophysical Union, European G- physical Union, World Meteorological Organization, etc. nd Recently, the 2 Annual Meeting of the Asia Oceania Geosciences Society (AOGS), held in Singapore in June 2005, conducted a session on DA under the - tle of “Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications.” nd This rst DA session in the 2 AOGS was a great success with more than 30 papers presented and many great ideas exchanged among scientists from the three different disciplines. The scientists who participated in the meeting suggested making the DA session a biennial event. th Two years later, at the 4 AOGS Annual Meeting, Bangkok, Thailand, the DA session was of cially named “Sasaki Symposium on Data Assimilation for At- spheric, Oceanic and Hydrologic Applications,” to honor Prof. Yoshi K. Sasaki of the University of Oklahoma for his life-long contributions to DA in geosciences.

Book Hydrological Modelling and the Water Cycle

Download or read book Hydrological Modelling and the Water Cycle written by Soroosh Sorooshian and published by Springer Science & Business Media. This book was released on 2008-07-18 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.