This paper presents the findings of an analysis of flood disaster trends in Asian countries during the last 30 years. The analysis was carried out to understand the changing characteristics of flood disasters in Asian countries in the past three decades with the rapid changes in socio-economic conditions. The second half of the paper presents the results of a modeling study of flood risk manage...

Alteration of the spatial variability of natural flow regimes has been less studied than that of the temporal variability, despite its ecological importance for river ecosystems. Here, we aimed to quantify the spatial patterns of flow regime alterations along a river network in the Sagami River, Japan, by estimating river discharge under natural and altered flow conditions. We used a distribute...

Large-scale operational hydrologic models are essential tools in support of multiple water resource applications such as flood control, navigation, irrigation, and habitat management, etc., at the regional or continental scales. These models, unlike micro scale watershed models, are defined over large areas (>10 km) and long time scales (typically for use over monthly and annual or longer time ...

The nature is composed of infinite process, and each process is surely deterministic (out of mention for the micro process on the level of quantum physics, which is under the uncertainty principle of Heisenberg, 1927), but affected by uncountable number of factors. What we are trying to do with modeling is to find the most dominating factors on a process and to simplify the process with an unde...

Some facilities, such as Los Alamos National Laboratory, have contaminants at widely scattered locations Modeling of vadose zone hydrology is required to address a variety within a landscape of complex topography. This type of of applied problems in general and risk assessments associated with spatial distribution of contamination poses a particularly contaminants in particular. Risk assessment...

[1] Representation of model input uncertainty is critical in ensemble‐based data assimilation. Monte Carlo sampling of model inputs produces uncertainty in the hydrologic state through the model dynamics. Small Monte Carlo ensemble sizes are desirable because of model complexity and dimensionality but potentially lead to sampling errors and correspondingly poor representation of probabilistic s...

There have been many studies of hydrologic processes and scale. However, some researchers have found that predictions from hydrologic models may not be improved by attempting to incorporate the understanding of these processes into hydrologic models. This paper quantifies the effect of simplifying watershed geometry and averaging the parameter values on simulations generated using the KINEROS2 ...

Title of Document: A DIAGNOSTIC DECISION SUPPORT SYSTEM FOR SELECTING BEST MANAGEMENT PRACTICES IN URBAN/SUBURBAN WATERSHEDS Yan Wang, Doctor of Philosophy, 2015 Directed By: Dr. Hubert J Montas, Fischell Department of Bio-Engineering Dr. Kaye L. Brubaker, Department of Civil and Environmental Engineering Best Management Practices (BMPs) have become the most effective way to mitigate the non-po...