Distributed hydrological models rely on a spatial discretization composed of homogeneous units representing different areas within the catchment. Hydrological Response Units (HRUs) typically form the basis of such a discretization. HRUs are generally obtained by intersecting raster or vector layers of land uses, soil types, geology and sub-catchments. Polylines maps representing ditches and riv...

21 Distributed hydrological models rely on a spatial discretization composed of homogeneous 22 units representing different areas within the catchment. Hydrological Response Units 23 (HRUs) typically form the basis of such a discretization. HRUs are generally obtained by 24 intersecting raster or vector layers of land uses, soil types, geology and sub-catchments. 25 Polylines maps representing ...

This paper explores the development and application of distributed hydrological models, focusing on the key decisions of how to discretize the landscape, which model structures to use in each landscape element, and how to link model parameters across multiple landscape elements. The case study considers the Attert catchment in Luxembourg—a 300 km mesoscale catchment with 10 nested subcatchments...

Applications of the Soil and Water Assessment Tool (SWAT) model typically involve delineation of a watershed into subwatersheds/subbasins that are then further subdivided into hydrologic response units (HRUs) which are homogeneous areas of aggregated soil, landuse, and slope and are the smallest modeling units used within the model. In a given standard SWAT application, multiple potential HRUs ...

Abstract. Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based models requires advanced skills from diverse fields, such as programming and modeling. Additionally, data pre-processing post-processing when training testing machine are a time-intensive process. In this study, we developed python-based framework that sim...

Hydrologic response varies within a watershed as a function of topography, soil, and land cover. Spatial and temporal data from experimental watersheds may provide information on where, when, how, and why the response varies. This study examined the hydrologic response of an agricultural watershed, FD-36, in the Appalachian Valley and Ridge physiographic region. FD-36 is characterized by shallo...

Water movement and storage within an agricultural watershed can be simulated at different spatial resolutions of land areas or hydrological response units (HRUs). Interactions between HRUs in space and time vary with the HRU sizes, such that natural scaling relationships are confounded with the simulation scales. Scaling concepts can be tested using the AgroEcoSystemWatershed (AgES-W) model wit...

This paper evaluates a recently created Soil and Water Assessment Tool (SWAT) calibration tool built using the Windows Azure Cloud environment and a parallel version of the Dynamically Dimensioned Search (DDS) calibration method modified to run in Azure. The calibration tool was tested for six model scenarios constructed for three watersheds of increasing size each for a 2 year and 10 year simu...

In continuation of the efforts made by the Illinois State Water Survey to develop a detailed hydrologic and water quality simulation model of the entire Illinois River Basin, a hydrologic simulation model was developed for the Vermilion River Watershed (one of the major tributaries of the Illinois River) to simulate streamflows using available climatic data. The model was developed using Hydrol...