Science Inventory

Validation of Pacific Northwest hydrologic landscapes at the catchment scale

Citation:

Sawicz, K., S. Leibowitz, R. Comeleo, AND P. Wigington. Validation of Pacific Northwest hydrologic landscapes at the catchment scale. American Geophysical Union meeting, San Francisco, CA, December 15 - 19, 2014.

Impact/Purpose:

EPA’s Western Ecology Division has published a framework for defining areas of the landscape that are hypothesized to have similar hydrologic responses. These hydrologic landscapes (HL) were developed to help characterize duration of flow in non‐navigable streams, to examine how non‐navigable streams influence and contribute to the integrity of navigable waters. Previous work defined HLs across Oregon and described climatic and physical properties for over 5000 assessment units. This approach was then extended the HL framework to the three Pacific Northwest (PNW) states of Washington, Oregon and Idaho. The HLs were developed using the National Hydrography Dataset’s WBD HU12 scale that are comprised of classification components describing climate, climate seasonality, aquifer permeability, terrain, and soil permeability. To be useful for water and ecological management, the extended HLs must accurately represent hydrologic behavior at these assessment units. To test the assumptions presented by the HL framework, we developed methodologies to aggregate the HLs to the catchment scale across our dataset of 230 catchments to be analyzed against the input/output of water in the catchment. HL aggregation must preserve information on the location of the HL within the catchment outlet (upstream vs. downstream) and properties of that HL (i.e. water source vs. sink). We investigated catchment response by comparing hydrologic behavior between different HL classes. We derived hydrologic signatures from long term time series of flow into and out of the catchment to capture the hydrologic behavior for catchments in the Pacific Northwest, and include, Runoff Ratio, Baseflow Index, Snow-to-Total Precipitation Ratio, and Recession Coefficients. We then performed statistical analysis of signature values and trends with respect to aggregated HL classification. This presentation will include the results of the Pacific Northwest HLs, methods of the aggregation of physical and climatic attributes to the catchment scale, and relate that catchment scale information to long term streamflow characteristics.

Description:

The interaction between the physical properties of a catchment (form) and climatic forcing of precipitation and energy control how water is partitioned, stored, and conveyed through a catchment (function). Hydrologic Landscapes (HLs) were previously developed across Oregon and describe climatic and physical properties for over 5000 assessment units. This approach was then extended to the three Pacific Northwest states of Washington, Oregon and Idaho (PNW HL). The HLs were developed using the National Hydrography Dataset’s WBD HU12 scale and are comprised of classification components describing climate, climate seasonality, aquifer permeability, terrain, and soil permeability. To compare the PNW HL classification to catchment hydrologic behavior, HLs were aggregated to catchment scale to compare against the input/output of water in the catchment. HL aggregation must preserve information on the location of the HL within the catchment outlet (upstream vs. downstream) and properties of that HL (i.e. water source vs. sink). Catchment function was investigated by use of hydrologic signatures, which are attributes of long-term time series of water into and out of the catchment. Signatures include Runoff Ratio, Baseflow Index, Snow Ratio, and Recession Coefficients. This study has three primary objectives: 1) derivation of hydrologic signatures to capture the hydrologic behavior for catchments in the Pacific Northwest: 2) development of methodology to aggregate HLs to the catchment scale; and 3) statistical analysis of signature values and trends with respect to aggregated HL classification. We hypothesize that we will find: 1) strong relationships between aggregated HLs and hydrologic signatures; 2) signatures related to water balance are explained by climatic conditions; and 3) signatures describing flow paths are predicted by terrain, soil, and aquifer permeability. This study examined 230 catchments to achieve objectives and test hypotheses stated.

URLs/Downloads:

ABSTRACT - SAWICZ.PDF  (PDF, NA pp,  47.76  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( PRESENTATION/ ABSTRACT)
Product Published Date:12/19/2014
Record Last Revised:12/24/2014
OMB Category:Other
Record ID: 300893