|Statement||edited by Hsieh Wen Shen.|
|Contributions||Shen, Hsieh Wen, 1931-|
|LC Classifications||GB656.2.S7 S82|
|The Physical Object|
|Pagination||2 v. :|
|LC Control Number||76008745|
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. We present a stochastic Lagrangian view of fluid dynamics. The velocity solving the deterministic Navier–Stokes equation is regarded as a mean time derivative taken over stochastic Lagrangian paths and the equations of motion are critical points of an associated stochastic action functional involving the kinetic energy computed over random paths. Thus the deterministic Navier&ndash Author: Ana Bela Cruzeiro. Management, (Bio)Technological, and Political Approaches to Avoid Conflicts. Author: Christophe J.G. Darnault; Publisher: Springer Science & Business Media ISBN: Category: Technology & Engineering Page: View: DOWNLOAD NOW» This book from the NATO ASI on "Overexploitation and Contamination of Shared Groundwater Resources Management, . When dealing with large water resources systems, particularly with water reservoir networks, traditional non-linear, stochastic control approaches, like Stochastic Dynamic Programming (SDP.
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 book is intended for. Stochastic model predictive control approaches applied to drinking water networks Article (PDF Available) in Optimal Control Applications and Methods 38(4) August with Reads. 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 Format: Paperback. Stochastic methods and reliability analysis in water resources* B. C. Yen Department of Civil Engineering, University of Virginia, Thornton Hall, Chariottesville, Virginia , USA Considerable progresses have been accomplished in recent years on two of Cited by:
This book's uniqueness stems from the fact that it uses novel modeling tools that are largely unfamiliar to economists to shed valuable light on contemporary problems at the interface of the environment and economic development. Sample Chapter(s) Chapter 1: Introduction to Dynamic and Stochastic Approaches to the Environment and Economic. The report discusses the application of deterministic and stochastic approaches in daily rainfall-runoff modeling. The structure of a simple hydrologic water balance type conceptual model of daily time scale is discussed and tested on three catchments of India. Stochastic processes in hydrology. Vujica M. Yevjevich. Water Resources Publications, - Science - pages. 0 Reviews. From inside the book. What people are saying - Write a review. We haven't found any reviews in the usual places. Contents. Chapter. 1. Stochastic Optimization of a Multireservoir Hydroelectric System: A Decomposition Approach. , Risk neutral and risk averse approaches to multistage renewable investment planning under uncertainty, European Journal of Operational Research, Factorial two-stage stochastic programming for water resources management.