Applied Modeling of Hydrologic Time Series
Author: Jose D. Salas
Publisher: Water Resources Publication
Published: 1980
Total Pages: 502
ISBN-13: 9780918334374
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Hydrologic Time Series Analysis
Author: Deepesh Machiwal
Publisher: Springer Science & Business Media
Published: 2012-03-05
Total Pages: 316
ISBN-13: 9400718616
DOWNLOAD EBOOKThere is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad. This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.
Hydrological Data Driven Modelling
Author: Renji Remesan
Publisher: Springer
Published: 2014-11-03
Total Pages: 261
ISBN-13: 3319092359
DOWNLOAD EBOOKThis book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
Author: Bellie Sivakumar
Publisher: World Scientific
Published: 2010-08-10
Total Pages: 542
ISBN-13: 9814464759
DOWNLOAD EBOOKThis book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.
Hydrologic Modeling
Author: Vijay P Singh
Publisher: Springer
Published: 2018-01-19
Total Pages: 718
ISBN-13: 9811058016
DOWNLOAD EBOOKThis book contains seven parts. The first part deals with some aspects of rainfall analysis, including rainfall probability distribution, local rainfall interception, and analysis for reservoir release. Part 2 is on evapotranspiration and discusses development of neural network models, errors, and sensitivity. Part 3 focuses on various aspects of urban runoff, including hydrologic impacts, storm water management, and drainage systems. Part 4 deals with soil erosion and sediment, covering mineralogical composition, geostatistical analysis, land use impacts, and land use mapping. Part 5 treats remote sensing and geographic information system (GIS) applications to different hydrologic problems. Watershed runoff and floods are discussed in Part 6, encompassing hydraulic, experimental, and theoretical aspects. Water modeling constitutes the concluding Part 7. Soil and Water Assessment Tool (SWAT), Xinanjiang, and Soil Conservation Service-Curve Number (SCS-CN) models are discussed. The book is of interest to researchers and practitioners in the field of water resources, hydrology, environmental resources, agricultural engineering, watershed management, earth sciences, as well as those engaged in natural resources planning and management. Graduate students and those wishing to conduct further research in water and environment and their development and management find the book to be of value.
Applied Drought Modeling, Prediction, and Mitigation
Author: Zekâi Şen
Publisher: Elsevier
Published: 2015-08-03
Total Pages: 485
ISBN-13: 0128024224
DOWNLOAD EBOOKApplied Drought Modelling, Prediction, and Mitigation provides a practical guide to new and recent methodologies for drought characterizations, change modeling, down-scaling, and future predictions. The modeling procedures covered by the book include recent advancements in regional drought extent, coverage, intensity, and water deficit predictions, which are increasingly significant given current climate change impacts on water resources. Each modeling procedure is explained theoretically prior to the mathematical derivation, and includes book examples, exercises, and case studies that supplement the applied and practical material, thus making the approaches accessible and applicable to the reader. - Presents new and recent methodologies for drought characterizations, change modeling, down-scaling, and future predictions - Includes online modeling tools to help readers quickly solve drought related problems - Presents methodologies, including drought features (duration, intensity, and magnitude) at any desired risk level - Include case studies from arid and semi-arid regions
Chaos in Hydrology
Author: Bellie Sivakumar
Publisher: Springer
Published: 2016-11-16
Total Pages: 408
ISBN-13: 9048125529
DOWNLOAD EBOOKThis authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.
Evapotranspiration
Author: Ayse Irmak
Publisher: BoD – Books on Demand
Published: 2012-01-18
Total Pages: 530
ISBN-13: 9533078081
DOWNLOAD EBOOKThis edition of Evapotranspiration - Remote Sensing and Modeling contains 23 chapters related to the modeling and simulation of evapotranspiration (ET) and remote sensing-based energy balance determination of ET. These areas are at the forefront of technologies that quantify the highly spatial ET from the Earth's surface. The topics describe mechanics of ET simulation from partially vegetated surfaces and stomatal conductance behavior of natural and agricultural ecosystems. Estimation methods that use weather based methods, soil water balance, the Complementary Relationship, the Hargreaves and other temperature-radiation based methods, and Fuzzy-Probabilistic calculations are described. A critical review describes methods used in hydrological models. Applications describe ET patterns in alpine catchments, under water shortage, for irrigated systems, under climate change, and for grasslands and pastures. Remote sensing based approaches include Landsat and MODIS satellite-based energy balance, and the common process models SEBAL, METRIC and S-SEBS. Recommended guidelines for applying operational satellite-based energy balance models and for overcoming common challenges are made.
Modeling of Monthly Intermittent Streamflow Processes
Author: DIANE Publishing Company
Publisher: DIANE Publishing
Published: 1993-06
Total Pages: 164
ISBN-13: 9781568064703
DOWNLOAD EBOOKDiscusses the analysis of water availability in the form of streamflow, which is extremely important for planning and management of water resources, especially in arid and semiarid areas of the world. Graphs and tables.
Random Functions and Hydrology
Author: Rafael L. Bras
Publisher: Courier Corporation
Published: 1993-01-01
Total Pages: 580
ISBN-13: 9780486676265
DOWNLOAD EBOOKAdvanced-level view of the tools of random processes and field theory as applied to the analysis and synthesis of hydrologic phenomena. Topics include time-series analysis, optimal estimation, optimal interpolation (Kriging), frequency-domain analysis of signals, and linear systems theory. Techniques and examples chosen to illustrate the latest advances in hydrologic signal analysis. Useable as graduate-level text in water resource systems, stochastic hydrology, random processes and signal analysis. 202 illustrations.
