Deseasonalized geophysical time series are often used in time series models (Hipel and McLeod 1994). In this article an optimal method for selecting the deseasonalization transformation is suggested and an R package implementation (McLeod and Gweon 2012) is discussed. Our deseasonalization method may be used with the recently developed periodic autoregression model for daily river flow suggeste...

different approaches have been presented for estimating river environmental flow which hydrological approach has a lot addressed because of its need to access to limited data and moderately rapid assessment. this approach incorporates various methods therefore comparison between results of different methods is essential. the objective of this study is to investigate and compare the consequences...

We examine how historic flooding in 2011 affected the geomorphic adjustments created by dam regulation along the approximately 120 km free flowing reach of the Upper Missouri River bounded upstream by the Garrison Dam (1953) and downstream by Lake Oahe Reservoir (1959) near the City of Bismarck, ND, USA. The largest flood since dam regulation occurred in 2011. Flood releases from the Garrison D...

Abstract: Commonly, for being done a numerical modeling of any natural phenomenon, like as water flow pattern, need to an exquisite and modify calculated mesh. For gaining this standard calculated mesh, different calculated meshes must be analyzed sensitively. Thus, the optimum calculated mesh could be selected. At the present paper, the first, a powerful two dimensional numerical model which i...

The spiraling of resources in stream ecosystems is a well known phenomenon in the scientific literature. We implemented the necessary components of a nutrient cycle in a qualitative reasoning approach. The model includes entities that represent segments of a river and quantities for nutrients, autotrophs, and detritus, and employs three rates: uptake rate (from nutrients to autotrophs), retenti...

Analyses and investigations on river flow behavior are major issues in design, operation and studies related to water engineering. Thus, recently the application of chaos theory and new techniques, such as chaos theory, has been considered in hydrology and water resources due to relevant innovations and ability. This paper compares the performance of chaos theory with Anfis model and discusses ...

While engineers have been quantifying rainfall-runoff processes since the mid-19th century, it is only in the last decade that artificial neural network models have been applied to the same task. This paper evaluates two neural networks in this context: the popular multilayer perceptron (MLP), and the radial basis function network (RBF). Using six-hourly rainfall-runoff data for the River Yangt...

Two dimensional water flow simulations are useful for engineering firms to model floods, river/reservoir behavior, and dam break scenarios. These models allow us to estimate the consequences of such events, which can determine the allocation of funds towards high-risk areas. Much of the work in flood modeling still uses one-dimensional solutions, which model the river as a series of cross-secti...