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Book Advanced Modelling and Innovations in Water Resources Engineering

Download or read book Advanced Modelling and Innovations in Water Resources Engineering written by Chintalacheruvu Madhusudana Rao and published by Springer Nature. This book was released on 2021-11-16 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the national conference on Advanced Modelling and Innovations in Water Resources Engineering (AMIWRE 2021) and examines numerous advancements in the field of water resources engineering and management towards sustainable development of environment. The topics covered includes river basin planning and development, reservoir planning and management, integrated water management, reservoir sedimentation, soil erosion and sedimentation, agricultural technologies for climate change mitigation, uncertainty analysis in hydrology, water distribution networks, floods and droughts management, water quality modelling, environmental modelling, environmental impact assessment, urban water management, open channel hydraulics, hydraulic structures, groundwater hydraulics, groundwater flow and contaminant transport modelling, computational fluid dynamics, ocean engineering, HEC-RAC, SWAT, MIKE, MODFLOW models applications, numerical analysis in water resources engineering, climate change impacts on hydrology, optimization techniques in water resources, soft computing techniques and applications in water resources and remote sensing / geospatial techniques in water resources. This book will be beneficial for water sectors development mainly agricultural production, reservoir operations, improvement of water quality, flood and drought controls, designing hydraulic structures and geospatial analysis. This book will be a valuable reference for faculties, research scholars, students, design engineers, industrialists, R & D personnel and practitioners working in water resources engineering and its related fields.

Book Water resources Investigations Report

Download or read book Water resources Investigations Report written by and published by . This book was released on 1991 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Generation of Streamflow Data

Download or read book Stochastic Generation of Streamflow Data written by T. A. McMahon and published by . This book was released on 1972 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochasticity Nonlinearity and Forecasting of Streamflow Processes

Download or read book Stochasticity Nonlinearity and Forecasting of Streamflow Processes written by Wen Wang and published by IOS Press. This book was released on 2006 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streamflow forecasting is of great importance to water resources management and flood defense. On the other hand, a better understanding of the streamflow process is fundamental for improving the skill of streamflow forecasting. The methods for forecasting streamflows may fall into two general classes: process-driven methods and data-driven methods. Equivalently, methods for understanding streamflow processes may also be broken into two categories: physically-based methods and mathematically-based methods. This thesis focuses on using mathematically-based methods to analyze stochasticity and nonlinearity of streamflow processes based on univariate historic streamflow records, and presents data-driven models that are also mainly based on univariate streamflow time series. Six streamflow processes of five rivers in different geological regions are investigated for stochasticity and nonlinearity at several characteristic timescales.

Book Selected Water Resources Abstracts

Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1990 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards

Download or read book Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards written by and published by . This book was released on 2001 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theses on any subject submitted by the academic libraries in the UK and Ireland.

Book Stochastic Simulation Methods for Precipitation and Streamflow Time Series

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

Book Stochastic Generation of Streamflow

Download or read book Stochastic Generation of Streamflow written by N. M. Awan and published by . This book was released on 1978 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Hydrology of Daily Streamflows

Download or read book Stochastic Hydrology of Daily Streamflows written by G. Quesada Tabios Iii and published by . This book was released on 1979 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Daily streamflow simulation offers hydrologic planners the opportunity to study proposed and existing designs and operation schemes of water resource systems based on long sequences of synthetic streamflows. Stochastic hydrology deals with the development of stochastic models which simulate observed hydrologic processes and generate synthetic realizations of the processes. The synthetic sequences, on the other hand, are such that they must preserve important statistical characteristics of the observed process that are of relevance to water resource systems design and oprations. The major objective of this study is to test the applicability of some daily stochastic hydrology models to a typical Central Luzon Stream - the Talavera River in Nueva Ecija, Philippines. The stochastic models are a family of Gaussian model called autoregressive (AR) and mixed autoregressive-moving-average (ARMA) models, and a grouup of shot noise models. As an initial requirement for building the Gaussian models, the historical data are standardized and normalized in order that the residual flow variates are amenable for stramflow synthesis. The successive use of logarithmic and Wilson-Hilferty transformations are found suitable in rendering the flow residuals approximately normally distributed. The use of the parametric method of cyclic standardization is appropriate in removing the periodicities in the means and variances. Results from the time series analysis performed to the flow residuals virtually prescribed the adoption of a seasonal lag-one autoregressive model for generation of synthetic data. In using the shot noise models, seasonality is introduced by taking the harmonic representations of the raw daily statistics means, standard deviations, skewness coefficients and lag-one serial correlation coefficients. At the model-parameter estimation stage, only the simple shot noise model and the shot noise model with an added baseflow possess estimates consistent with parameter constraints, in contrast to the other candidate shot noise models. The three models fitted to the historical data yielded satisfactory reproduction of the daily means, standard deviations and serial correlation coefficients. Failure to reproduce the high skewness in the historical data is one of the model limitations noted. In general, this parper has demonstrated the applicability of stochastic hydrology models to the selected river. The seasonal AR(1) model, the simple shot noise model, and the shot noise model with baseflow are alternative models for daily stramflow synthesis, with unique advantages in each. Faithfulness in reproducing daily and monthly statistics differ among models; however, on an overall basis, all models show promise as daily streamflow synthesis models.

Book Stochastic Models for Generating Annual Monthly and Daily Rainfall and Climate Data at a Site

Download or read book Stochastic Models for Generating Annual Monthly and Daily Rainfall and Climate Data at a Site written by Ratnasingham Srikanthan and published by . This book was released on 2003 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: