This paper presents the H/V ratio peak amplitude and frequency, their correlation with the site frequency and amplification factor, and limitations. The basin-edge and flat-layer models with different types of soils in the surficial layer were simulated using 2.5D (two and half dimensional) modeling. The effects of sediment bedrock velocity contrast on the H/V ratio peak frequency and amplitude...

Abstract Numerical 3D basin modeling is used to reconstruct the burial and temperature histories in onshore northeastern Netherlands, incorporating four main geological structural elements Groningen Platform, Lauwerszee Trough, Friesland Lower Saxony Basin. The framework based on recently published open access depth surface data; public vitrinite reflectance data from 28 wells are evaluate hist...

This paper develops a framework for regional scale flood modeling that integrates NEXRAD Level III rainfall, GIS, and a hydrological model (HEC-HMS/RAS). The San Antonio River Basin (about 4000 square miles, 10,000 km2) in Central Texas, USA, is the domain of the study because it is a region subject to frequent occurrences of severe flash flooding. A major flood in the summer of 2002 is chosen ...

Deterministic models, in which mathematical equations are used to predict the occurrence of various phenomena in the subsurface, are widely used today in basin modeling. However, these models suffer from a number of weaknesses, including incorrect or incomplete equations, incorrect constants in the equations, and errors in input variables. Several alterna tivesto present deterministic basin mod...

Rapid land use change due to intensive agricultural practices in the Ethiopian Highlands, results in increasing rates of soil erosion. This manifested in significant impacts downstream by reducing the storage capacity of reservoirs (e.g., Roseires, Sennar), and high desilting costs of irrigation canals. Therefore, this paper aims to provide a better understanding of the process at basin scale. ...

[1] A Bayesian nonlinear regression modeling method is introduced and compared with the least squares method for modeling nutrient loads in stream networks. The objective of the study is to better model spatial correlation in river basin hydrology and land use for improving the model as a forecasting tool. The Bayesian modeling approach is introduced in three steps, each with a more complicated...