Download or read book Simulation of Daily Streamflow written by Leo R. Beard and published by . This book was released on 1968 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Daily Streamflow Simulation written by Hydrologic Engineering Center (U.S.) and published by . This book was released on 1968 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Daily Streamflow written by Leo R. Beard and published by . This book was released on 1968 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Comparative Study of the Simulation of Daily Streamflow Sequences written by Percy Anandarajah Thambirajah and published by . This book was released on 1973 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Daily Streamflow Simulation written by Hydrologic Engineering Center (U.S.) and published by . This book was released on 1968 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Daily Streamflow for Nine River Basins in Eastern Iowa Using the Precipitation runoff Modeling System written by Adel E. Haj and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Generalized Streamflow Simulation System written by Robert J. C. Burnash and published by . This book was released on 1973 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Daily Flow routing Simulations for the Truckee River California and Nevada written by Steven Neil Berris and published by . This book was released on 1996 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Daily Streamflow Simulation For the Thames River Basin written by Ontario. Water Quantity Management Branch and published by . This book was released on 1974 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Daily Streamflow Simulation written by Hydrologic Engineering Center (U.S.) and published by . This book was released on 1968 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Calibration and Verification of a Streamflow Simulation Model for the Kentucky River Near Lexington and Frankfort Kentucky written by Clyde J. Sholar and published by . This book was released on 1986 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Rainfall runoff Model Calibration and Daily Streamflow Simulation for an Ungauged Catchment written by Zamri Mohd and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book HEC 4 Monthly Streamflow Simulation written by Hydrologic Engineering Center (U.S.) and published by . This book was released on 1971 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Rainfall runoff Model Calibration and Daily Streamflow Simulation for an Ungauged Catchment written by Tarmizi Ismail and published by . This book was released on 2008 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Daily Streamflows at Gaged and Ungaged Locations Within the Cedar River Basin Iowa Using a Precipitation runoff Modeling System Model written by Daniel E. Christiansen and published by . This book was released on 2012 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Streamflow Temperatures in the Yakima River Basin Washington April October 1981 written by J. J. Vaccaro and published by . This book was released on 1986 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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