|2010 GSA Denver Annual Meeting (31 October –3 November 2010)|
|Paper No. 87-6|
|Presentation Time: 9:40 AM-9:55 AM|
NONLINEAR MODELING OF COUPLED WATERSHED PROCESSES USING A DATA-DRIVEN APPROACH
FRIEDEL, Michael J., U.S. Geological Survey, P.O. Box 25046, Mail Stop 964, Denver, CO 80225-0046, firstname.lastname@example.org|
Few studies have attempted to model the coupled and nonlinear anthropogenic, ecological, hydrological, and geochemical processes in a watershed. The primary challenges with a traditional approach are in the joint conceptualization, regularization, and calibration of models for which there typically is disparate and sparse data. We present an alternative nonlinear modeling approach in which a type of unsupervised artificial neural network (ANN) was used to project data associated with 46 subbasins of the Upper Illinois River Basin (28,358 km2) onto a two-dimensional grid called a self-organized map (SOM). The 16,008 data, collected as part of the U.S. Geological Survey, National Water Quality Program, comprised 299 numerical and 49 categorical basin variables from 21 categories (algae, bank stability, climate, demographics, field parameters, fish, geomorphology, habitat, major ions, impervious road, land use, location, macroinvertebrates, nutrients, reach, sediment, segment, site, stream buffer, surficial deposits, and waste water detergents). Pattern analysis in the SOM-based component planes provided information regarding nonlinear correlations and statistically significant variables. Clustering of the SOM topography identified statistically distinct conceptual basin models. Stochastic crossvalidation (using a leave one out strategy) of the ANN model revealed that median variable values were about 95% accurate. A split-sample validation on data from 5 subbasins (not included in the training set) revealed that predictions of statistically significant variables were greater than 78% accurate. Forecasting across urbanizing watershed provided insight on individual changes with respect to integrated processes.
2010 GSA Denver Annual Meeting (31 October –3 November 2010)
General Information for this Meeting
|Session No. 87|
Integrated Approaches to Modeling Geochemical, Hydrological, and Ecological Processes in Watersheds I
Colorado Convention Center: Room 207
8:00 AM-12:00 PM, Monday, 1 November 2010
Geological Society of America Abstracts with Programs, Vol. 42, No. 5, p. 213
© Copyright 2010 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.