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LNWB Ch06 Soil Processes and Inputs


Authors: Christina Bandaragoda · Charles Lindsay · Peter Gill
Owners: Christina Bandaragoda · Jimmy Phuong
Resource type:Collection Resource
Created:Aug 02, 2016 at 7:15 p.m.
Last updated: Oct 29, 2018 at 5:42 p.m. by Christina Bandaragoda

Abstract

Overview:
Water, in its many forms is one of Whatcom County’s signature features from snow-capped mountains,to our rainy climate, salmon-bearing streams, wetlands, lakes, marine waters, and marine shorelines. Five distinct hydrologic components control the storage and movement of water through the canopy and soils: canopy interception store (green trees), upper soil zone (vadose zone, brown soil fill) store, groundwater saturated zone (gray soil fill), channel flow (blue), and artificial drainage (blue line from agriculture to channel). Surface water inputs from direct precipitation, throughfall through the vegetation canopy, and irrigation are taken as input to the unsaturated, or vadose zone soil store. The unsaturated portion of the upper soil layer (brown), or vadose zone, is shown with recharge water (blue downward line) infiltrating the surface layer of soils, draining through the unsaturated zone (brown), to recharge the saturated zone (gray). The thickness of the vadose zone changes as the water table level (hashed gray and brown interface) shifts up and down, depending on the water held in the saturated zone. Based on the input and storage in the vadose zone, recharge to groundwater (gray, saturated zone) and surface water runoff is calculated. The vadose zone soil store is decreased by artificial drainage, representing ditch and tile drains that remove water directly from the vadose zone soil store to channels. The vadose zone soil store calculation also accounts for potential upwelling from groundwater where the water table is shallow. The groundwater saturated zone calculations account for recharge, upwelling and groundwater pumping and produce baseflow as an output. In the Lower Nooksack Water Budget, baseflow is defined as the outflow from the saturated zone and referred to as groundwater contribution; and baseflow and surface runoff are combined to calculate channel flow.

Purpose:
The baseflow in streams is supported by the gradual drainage of groundwater in shallow aquifer systems. The rate of this drainage depends on the amount of water stored in shallow aquifers (depth to water table) and the hydraulic properties of the aquifer, specifically the lateral hydraulic conductivity, or its depth integral, transmissivity. The amount of water stored depends on recharge, the vertical movement of water through unsaturated soils from the surface into the shallow groundwater. The rate of recharge is determined by the supply of water above. This is a function of whether surface water input is retained in the soil zone where it is taken up by plant roots and becomes evapotranspiration, or whether it infiltrates beyond the root zone and percolates to aquifers. These processes depend on the properties of the soils, such as porosity, field capacity, and hydraulic conductivity. The representation of the hydrologic processes of recharge and drainage to baseflow on a drainage scale is done using estimates based on measured data at point locations, as well as soil texture information. As more data is collected, information about subsurface processes can be incorporated into the model representation.

For the Lower Nooksack Water Budget soils parameters, soils data was compiled from both local and federal datasets. Using data available from the Natural Resource Conversation Service (NRCS – formerly the Soil Conservation Service) soils databases (NRCS; SSURGO and STATSGO (www.soilsdatamart.gov)), we have used estimates of averaged soils parameter values over each drainage area as data inputs for the hydrology model compiled in previous work (Tarboton, 2007). These soil parameters include plant available soil moisture, soil depth, hydraulic conductivity, and wetting front suction. Earlier calibrations of Topnet-WM showed that the most sensitive and therefore important soil parameters controlling baseflow movement are saturated soil store sensitivity (f) and soil profile lateral conductivity or transmissivity (To). The Lower Nooksack transmissivity parameters were derived from aquifer hydraulic conductivity values for specific wells, completed within shallow near surface aquifers, as described in the U.S. Geological Survey (USGS) Lynden-Everson-Nooksack-Sumas (LENS) Study (Cox and Kahle, 1999). Although the variability in well data is high given the heterogeneity of glacial and alluvial deposits, interpolating available well data to derive drainage average values captures the drainage level heterogeneity. Here changes in average depth to water table described in the Department of Ecology Study, Nooksack Watershed Surficial Aquifer Characterization (Tooley and Erickson, 1996), were used. Water movement through the surficial aquifer is assumed to decrease exponentially as the depth to the water table increases based on the Topmodel algorithm (Beven, et al., 1995a).

This resource is a subset of the Lower Nooksack Water Budget (LNWB) Collection Resource.

Subject Keywords

Soil processes,model inputs for soil,WRIA1,Bertrand Creek,Fishtrap Creek,Soil surface parameters,soil subsurface parameters,STATSGO datasets

How to cite

Bandaragoda, C., C. Lindsay, P. Gill (2018). LNWB Ch06 Soil Processes and Inputs, HydroShare, http://www.hydroshare.org/resource/fb17642c00bc4c3489878a672322caa4

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Coverage

Spatial:

 Coordinate System/Geographic Projection:  WGS 84 EPSG:4326
 Coordinate Units:  Decimal degrees
Place/Area Name: Nooksack River

North Latitude
49.0634°
East Longitude
-120.9809°
South Latitude
48.5569°
West Longitude
-122.8486°

Collection Contents

Add Title Type Owners Sharing Status My Permission Remove
LNWB Ch06 Soil Processes and Inputs - STATSGO soil spatial data GeographicFeatureResource Jimmy Phuong · Christina Bandaragoda Public & Shareable Open Access
LNWB Ch06 Soil Processes and Inputs - GIS raster grids for soil layers GenericResource Jimmy Phuong · Christina Bandaragoda Public & Shareable Open Access
LNWB Ch06 Soil Processes and Inputs - SSURGO soil spatial data GeographicFeatureResource Jimmy Phuong · Christina Bandaragoda Public & Shareable Open Access

Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Christina Bandaragoda University of Washington Washington, US
Charles Lindsay Associated Earth Sciences, Inc.
Peter Gill Whatcom County Public Works

Contributors

People or organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Joanne Greenberg HydroLogic Services Co.
Mary Dumas Dumas & Associates
David Tarboton Utah State University 4357973172
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Lower Nooksack Water Budget (LNWB) Christina Bandaragoda · Jimmy Phuong  Public &  Shareable Open Access
Lower Nooksack Water Budget (LNWB) Bert Rubash  Private &  Shareable None

Credits

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
WRIA 1 Joint Board Lower Nooksack Water Budget Whatcom County Contract 201111021

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Comments

Emilio Mayorga 9 months ago

If this dataset is for the Nooksack or Whatcom County, why is the spatial bounding box defined to be so large? 180 W to 180E and 18 N to 71 N, pretty much.

I've been running into a bunch of Nooksack search results on Hydroshare for spatial searches on the US East Coast!

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Christina Bandaragoda 8 months, 2 weeks ago

Hi Emilio, Thanks for your comment! I updated this bounding box to fit the Nooksack River. I think when we put this Collection online, it was before we knew how to manage the coordinate metadata.
Christina

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