Storm-water infiltration and focused recharge modeling with finite-volume two-dimensional Richards equation: application to an experimental rain garden

Rain gardens are infiltration systems that provide volume and water quality control, recharge enhancement, as well as landscape, ecological, and economic benefits. A model for application to rain gardens based on Richards equation coupled to a surface water balance was developed, using a two-dimensional finite-volume code. It allows for alternating upper boundary conditions, including ponding and overflow, and can simulate heterogeneous soil-layering or more complex geometries to estimate infiltration and recharge. The algorithm is conservative, and exhibits good performance compared to standard models for several test cases (less than 0.1% absolute mass balance error); simulations were also performed for an experimental rain garden and comparisons to collected data are presented. The model accurately simulated the matrix flow, soil water distribution, as well as deep percolation (potential recharge) for a natural rainfall event in the controlled experimental setup. Read More: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HY.1943-7900.0000111?prevSearch=authors%3A%28Dussaillant%2C%29&searchHistoryKey

Annual Technical Report 36

orkshop (Monterey, California), pp. 967-971, 1994. Annual Technical Report 35 Since the success of our algorithm depends on the likelihood of having at least a pair of views whose corresponding parameter estimation converge to good solution even with trivial initial guesses, it is important that such a pair generally exist. Recently, Weinshall, Werman and Gdalyanhu [34] showed that under weak perspective, the "flattest" view is also the most stable and most likely view of an object. It means that when an object is viewed from a point such that it has its minimal spread along the viewing direction, that view changes the least for all bounded movement of the viewpoint and has the largest number of views that are close to it as image. We thus can infer that the "flattest" view of the object is very likely to exist as an input image to our problem. However, it also means that the motion required to obtain an image that shows a different aspect would be relatively