Integrating Arc Hydro Features with a Schematic Network

Abstract

A framework for integrating GIS features with processing engines to simulate hydrologic behavior is presented. The framework is designed for compatibility with the ArcGIS ModelBuilder environment, and utilizes the data structure provided by the SchemaLink and SchemaNode feature classes from the ArcGIS Hydro data model. SchemaLink and SchemaNode form the links and nodes, respectively, in a schematic network representing the connectivity between hydrologic features pertinent to the movement of surface water in the landscape. A specific processing engine is associated with a given schematic feature, depending on the type of feature the schematic feature represents. Processing engines allow features to behave as individual hydrologic processors in the landscape. The framework allows two types of processes for each feature, a Receive process and a Pass process. Schematic network features operate with four types of values: received values, incremental values, total values, and passed values. The framework assumes that the schematic network is dendritic, and that no backwater effects occur between schematic features. A case study is presented for simulating bacterial loading in Galveston Bay in Texas from point and nonpoint sources. A second case study is presented for simulating rainfall‐runoff response and channel routing for the Llano River in Texas.

Controllability of Surface Water Networks

“…The latter network will be referred to as sub-lower Ohio watershed throughout this paper. The networks for these watersheds were generated using the Arc Hydro tool within ArcGIS (Maidment, 2002;Safwat, 2014;Teklitz, 2016;Whiteaker et al, 2006).…”

A conceptual data model coupling with physically-based distributed hydrological models based on catchment discretization schemas

“…Only provided a framework for pre-processing datasets without routines to simulate hydrologic processes (Chinh et al, 2010;Whiteaker et al, 2006).…”

“…However, the Arc Hydro itself contained no routines to simulate hydrologic processes (Chinh et al, 2010;Whiteaker et al, 2006). Meanwhile, the increased data modeling convenience and hydrological simulation stability achieved by complete adherence to the commercial ESRI ArcGIS framework came at the price of decreased portability and compatibility, as shown in Table 2.…”

Los Paisajes Del Agua: Naturaleza E Identidad en La Cuenca Del Río Valdivia

“…Las dendritas son numerosas, ramificadas, difusas, fibrosas y de contornos imprecisos y geográficamente corresponden a la adecuación de la población al territorio sobre la base de una geometría irregular (Lindsay et al 2001). Las retículas, en cambio, encarnan territorialmente formas geométricas regulares que devienen de la acción planificadora que acompaña al poblamiento (Whiteaker et al 2006). La retícula construye un mundo para ser habitado y su hegemonía plena se da en la modernidad, donde la línea recta establece su precedencia, emergiendo como su ícono virtual e "índice del triunfo del diseño racional y propositivo por sobre las vicisitudes del mundo natural" (Ingold 2007:152, traducción nuestra).…”