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Author : Tiao J. Chang
Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.:/5 (31 download)
Download or read book Stochastic Daily Precipitation Modeling and Daily Streamflow Transfer Processes written by Tiao J. Chang and published by . This book was released on 1982 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jerson Kelman
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.3/5 (121 download)
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:
Author : DIANE Publishing Company
Publisher : DIANE Publishing
ISBN 13 : 9781568064703
Total Pages : 164 pages
Book Rating : 4.0/5 (647 download)
Download or read book Modeling of Monthly Intermittent Streamflow Processes written by DIANE Publishing Company and published by DIANE Publishing. This book was released on 1993-06 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses 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.
Author :
Publisher :
ISBN 13 :
Total Pages : 884 pages
Book Rating : 4.3/5 (91 download)
Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1991 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Chao Li
Publisher :
ISBN 13 :
Total Pages : 307 pages
Book Rating : 4.:/5 (868 download)
Download or read book Stochastic Simulation Methods for Precipitation and Streamflow Time Series written by Chao Li and published by . This book was released on 2013 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme behavior of daily precipitation is necessary and important. To that end, a hybrid probability distribution is developed. The logic of this distribution is to simulate the low to moderate values by an exponential distribution and extremes by a generalized Pareto distribution. Compared with alternatives, the developed hybrid distribution is capable of simulating the entire range of precipitation amount and is much easier to use. The hybrid distribution is then used to construct a bivariate discrete-continuous mixed distribution, which is used for building a daily precipitation generator. The developed generator can successfully reproduce extreme events. Compared with other widely used generators, the most important advantage of the developed generator is that it is apt at extrapolating values significantly beyond the upper range of observed data. The major challenge in monthly streamflow simulation is referred to the underrepresentation of inter-annual variability. The inter-annual variability is often related with sustained droughts or periods of high flows. Preserving inter-annual variability is thus of particular importance for the long-term management of water resources systems. To that end, variables conveying such inter-annual signals should be used as covariates. This requires models that must be flexible at incorporating as many covariates as necessary. Keeping this point in mind, a joint conditional density estimation network is developed. Therein, the joint distribution of streamflows of two adjacent months is assumed to follow a specific parametric family. Parameters of the distribution are estimated by an artificial neural network. Due to the seasonal concentration of precipitation or the joint effect of rainfall and snowmelt, monthly streamflow distribution sometimes may exhibit a bimodal shape. To reproduce bimodality, nonparametric models are often preferred. However, the simulated sequences from existing nonparametric models represent too close a resemblance to historical record. To address this issue, while retaining typical merits of nonparametric models, a multi-model regression-sampling algorithm with a few weak assumptions is developed. Collecting hydrometric data is the first step for building hydrologic models, and for planning, design, operation, and management of water resource systems. In this dissertation, an entropy-theory-based criterion, termed maximum information minimum redundancy, is proposed for hydrometric monitoring network evaluation and design. Compared with existing similar approaches, the criterion is apt at finding stations with high information content, and locating independent stations. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/149572
Author : Sarah El Outayek
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)
Download or read book Stochastic Modeling of Daily Precipitation Process in the Context of Climate Change written by Sarah El Outayek and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Information on the variations of rainfall in space and time is essential for the design and management of different water resources systems. This thesis proposed a new stochastic model (referred herein as the MCME model) that is able to capture accurately the statistical properties of the observed daily precipitation process for the current and future climates under different climate change scenarios. The MCME model consists of two components: (i) the first component representing the daily precipitation occurrence process based on the first-order two-state Markov Chain (MC); and (ii) the second component describing the distribution of daily precipitation amounts using the Mixed Exponential (ME) distribution. A comparative study was carried out to assess the performance of the proposed model as compared to the popular LARS-WG model using observed daily precipitation data from a network of nine raingauges representing different climatic conditions across Quebec. Results of this study have indicated the better performance of the MCME model in terms of its accuracy and robustness in the modeling of the daily precipitation process. In addition, an improved perturbation method was developed for establishing the linkages between the proposed MCME model with the coarse-scale climate model outputs. Results of a comparative study using both MCME and LARS-WG models have demonstrated the best performance of the proposed perturbation method as compared with other existing perturbation methods in terms of its accuracy in capturing different statistical properties of the projected daily precipitation process for future periods. Finally, an assessment of the performance of the MCME and LARS-WG models based on the proposed perturbation technique was performed in the context of climate change using daily precipitation data from a network of five stations located in Quebec and Ontario and the downscaled simulation data from 21 different global climate models. Results of this assessment have indicated the feasibility and accuracy of the proposed MCME model and the proposed perturbation technique for downscaling daily precipitation processes for impact and adaptation studies in practice"--
Author : Sahol Hamid Abu Bakar
Publisher : Springer
ISBN 13 : 9812873651
Total Pages : 318 pages
Book Rating : 4.8/5 (128 download)
Download or read book ISFRAM 2014 written by Sahol Hamid Abu Bakar and published by Springer. This book was released on 2015-04-10 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights research in flood related areas and sustainable management conducted by researchers around the world, compiling their innovative work in order to share best practices for managing floods and recommended flood solutions. The individual papers cover the fundamentals and latest advances in the areas of flood research and management, providing in-depth coverage complemented by illustrations, diagrams and tables. The book offers a valuable source of information on methods and state-of-the art technology for effective flood management.
Author : Hsien-Wei Chen
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (14 download)
Download or read book A Stochastic Approach to Modeling of Multisite Daily Precipitation Processes written by Hsien-Wei Chen and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Information on the variability of precipitation in time and space is important for design, planning, and management of various water resources systems. Most previous studies have been dealing with the modeling of the precipitation process at a single location; but very few have considered the modeling of the precipitation processes at different sites concurrently due to the difficulty in describing accurately the spatio-temporal variability of precipitation. Therefore, in the present study, a stochastic approach to the modeling of multisite daily precipitation processes was developed. The proposed methodology consists of three essential components: the modeling of daily precipitation occurrences, the modeling of daily precipitation amounts, and the combination of these two modeling components. The daily precipitation occurrence modeling was accomplished by the development of the latent Gaussian-based multivariate binary response time series model. The proposed model was able to describe accurately the spatio-temporal dependence of daily rainfall occurrences at many different sites using a small number of parameters. Results of an illustrative application using daily precipitation data available from a network of ten raingauges in southern Quebec region for the 1961-2001 period have indicated the accuracy and feasibility of the proposed method.The daily precipitation amount modeling first aims to resolve the difficulty related to the selection of an appropriate model for precipitation amounts on wet days at a single raingauge site. More specifically, the mixed Gamma Weibull (MGW) distribution was suggested as a flexible model that includes some commonly used probability distributions for representing the distribution of daily precipitation amounts. In addition, based on this MGW framework and the large sample inference of likelihood ratios, a model selection criterion was proposed to assist in the choice of a suitable distribution for precipitation amounts at a single site. For the multisite precipitation modeling, the multivariate MGW model was proposed to account for the spatial dependence of the daily precipitation amounts at different sites. Furthermore, a hypothesis test procedure was developed to examine the validity of this multivariate model in capturing the joint probabilities of the daily precipitation amounts for each pair of raingauge sites. Finally, an integrated model was developed to combine the daily precipitation occurrence model and the daily precipitation amount model into one integrated framework for multisite daily precipitation modeling. This integrated model was applied to available daily precipitation data in the southern Quebec region. Based on various graphical and numerical performance evaluation criteria, it was found that the proposed model was able to describe accurately the at-site statistical properties and the inter-site spatial variability of daily precipitation processes at different locations concurrently." --
Author : Keith W. Hipel
Publisher : Springer Science & Business Media
ISBN 13 : 9401730830
Total Pages : 469 pages
Book Rating : 4.4/5 (17 download)
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.
Author : Michael A. Collins
Publisher :
ISBN 13 :
Total Pages : 346 pages
Book Rating : 4.3/5 (121 download)
Download or read book Stochastic Modeling of the Rainfall Runoff-process for Nonpoint Source Pollutant Load Estimation written by Michael A. Collins and published by . This book was released on 1989 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mohamed Chebaane
Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.3/5 (121 download)
Download or read book Modeling of Monthly Intermittent Streamflow Processes written by Mohamed Chebaane and published by . This book was released on 1992 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 1252 pages
Book Rating : 4.:/5 (31 download)
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1983 with total page 1252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bellie Sivakumar
Publisher : Springer
ISBN 13 : 9048125529
Total Pages : 408 pages
Book Rating : 4.0/5 (481 download)
Download or read book Chaos in Hydrology written by Bellie Sivakumar and published by Springer. This book was released on 2016-11-16 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Author :
Publisher :
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (31 download)
Download or read book Stochastic Simulation of Daily Rainfall written by and published by . This book was released on 1975 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Clarence W. Richardson
Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (31 download)
Download or read book A Model of Stochastic Structure of Daily Precipitation Over an Area written by Clarence W. Richardson and published by . This book was released on 1977 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bellie Sivakumar
Publisher : World Scientific
ISBN 13 : 9814307971
Total Pages : 542 pages
Book Rating : 4.8/5 (143 download)
Download or read book Advances in Data-based Approaches for Hydrologic Modeling and Forecasting written by Bellie Sivakumar and published by World Scientific. This book was released on 2010 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Author : Giuseppe Rossi
Publisher : Springer Science & Business Media
ISBN 13 : 9401110980
Total Pages : 756 pages
Book Rating : 4.4/5 (11 download)
Download or read book Coping with Floods written by Giuseppe Rossi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: Floods are natural hazards whose effects can deeply affect the economic and environmental equilibria of a region. Quality of life of people living in areas close to rivers depends on both the risk that a flood would occur and the reliability of flood forecast, warning and control systems. Tools for forecasting and mitigating floods have been developed through research in the recent past. Two innovations currently influence flood hazard mitigation, after many decades of lack of significant progress: they are the development of new technologies for real-time flood forecast and warning (based on weather radars and satellites) and a shift from structural to non-structural flood control measures, due to increased awareness of the importance of protecting the environment and the adverse impacts of hydraulic works on it. This book is a review of research progress booked in the improvements of forecast capability and the control of floods. Mostly the book presents the results of recent research in hydrology, modern techniques of real-time forecast and warning, and ways of controlling floods for smaller impacts on the environment. A number of case studies of floods in different geographical areas are also presented. Scientists and specialists working in fields of hydrology, environmental protection and hydraulic engineering will appreciate this book for its theoretical and practical content.
