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Model of Human Influenced Hydrology of the East Fork of the Russian River (CA, USA) with data

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Type:	Resource
Storage:	The size of this resource is 12.3 KB
Created:	Oct 08, 2022 at 5:43 p.m.
Last updated:	Aug 05, 2024 at 6:15 p.m. (Metadata update)
Published date:	Aug 05, 2024 at 6:15 p.m.
DOI:	10.4211/hs.1d1f7d9e86e049ee92ce6d0df2ebdff4
Citation:	See how to cite this resource
Content types:	Geographic Feature Content

Sharing Status:	Published
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Abstract

The model presented here was developed by applying a diagnostic approach to modeling watersheds with human interference. This mixed methods approach is informed by the case history and builds on the top-down hydrological modeling approach where process complexity is incrementally added with changing timescales to identify and respond to changing dominant hydrological processes in any given watershed. Here we implement this modeling approach in the East Fork of the Upper Russian River in California, USA for which data on changes in water imports, withdrawals, irrigation and agriculture land cover is available from the early 1940’s, making it an ideal case to demonstrate this method. In the East Fork watershed, we find that incorporation of water imports and water rights are sufficient to replicate annual patterns of runoff variability, and that adding crop water demand and irrigation enables replication of monthly and daily patterns, while incorporation of groundwater pumping results in negligible improvements.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

39.3990°

East Longitude

-122.9937°

South Latitude

39.1658°

West Longitude

-123.2028°

Temporal

Start Date:
End Date:

Content

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ReadMe.txt

This folder contains five python scripts:
1) HelperFunctions.py - this file contains functions that read in csv data, compute PET, set up dataframes for each version of the hydrological model and plots results
2) HydroModelsNatural.py - this file contains four versions of a hydrological model (S1,S2,S3, & S4) (see Bai et al. 2009)
3) MasterScriptNatural.py - this file is used to execute the models of natural streamflow, view summary statistics of model perfromance, and plots results
4) HydroModelsHumanMod.py - this file contains four versions of a human modified hydrological model (S4H0, S4H1, S4H2 and S4H3) (see Garcia et al. In Review)
5) MasterScriptHumanMod.py - this file is used to execute the models of natural streamflow, view summary statistics of model perfromance, and plots results

Note that all model versions are parameterized to the East Fork watershed in Northern, CA, U.S.

This folder contains seven csv files:
1) NatStreamflowQAQC.csv - daily naturalized streamflow at the location of the Calpella Gauge in the East Fork (Flint et al. 2015)
2) ObsStreamflowQAQC.csv - observed daily streamflow at the Calpella Gauge in the East Fork (USGS gauge #11461500, USGS 2024)
3) PercIrrAreaDataQAQC.csv - time series of irrigated aggreculture from Census of Agriculture from 1940 to 2012 (USDA, 2017) and disagregated to the daily time step for model compatibility
4) PrecipQAQC.csv - daily precipitation (NOAA 2022)
5) PVP_QAQC.csv - daily average flow rate of water transfered from the Eel River to the East Fork through the Potter Valley Project recieved from the Sonoma County Water Agency
6) TempQAQC.csv - daily average temperature (NOAA 2022)
7) waterRightsDaily.csv - water rights time series from Electronic Water Rights Information Management System (eWRIMS) (California State Water Resources Control Board, 2022) and disagreegated to the daily time step for model compatibility

References:
Bai, Yaoling, Thorsten Wagener, and Patrick Reed. 2009. “A Top-down Framework for Watershed Model Evaluation and Selection under Uncertainty.” Environmental Modelling and Software 24(8):901–16.

California State Water Resources Control Board. (2022). Electronic Water Rights Information Management System. Retrieved from https://www.waterboards.ca.gov/waterrights/water_issues/programs/ewrims/index.html

Flint, L.E., Flint, A. L., Curtis, J. A., Delaney, C., & Mendoza, J. (2015). Provisional simulated unimpaired mean daily streamflow in the Russian River and Upper Eel River Basins, California, under historical and projected future climates: U.S. Geological Survey Data Release. Retrieved from https://ca.water.usgs.gov/projects/reg_hydro/russian-river-streamflow.html

Garcia, M., Mohajer Irvanloo, B. and Sivapal, M. In Review. “A Diagnostic Approach to Modeling Watersheds with Human Interference.” In Review in the Journal of Hydrology

NOAA. (2022). GHCND:USC00047109 at Potter Valley Powerhouse. Retrieved from https://www.ncei.noaa.gov/maps/daily/

USDA. (2017). California Census of Agriculture. Retrieved from https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Census_by_State/California/index.php

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-1d1f7d9e86e049ee92ce6d0df2ebdff4/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-1d1f7d9e86e049ee92ce6d0df2ebdff4/wfs?request=GetCapabilities

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
National Science Foundation	Cross-Scale Interactions & the Design of Adaptive Reservoir Operations	CMMI-1913920

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
Margaret Garcia	ASU	AZ, US
Murugesu Sivapalan	Department of Civil and Environmental Engineering, and Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign
Behshad Mohajer Iravanloo	ASU

How to Cite

Garcia, M. (2024). Model of Human Influenced Hydrology of the East Fork of the Russian River (CA, USA) with data, HydroShare, https://doi.org/10.4211/hs.1d1f7d9e86e049ee92ce6d0df2ebdff4

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

http://creativecommons.org/licenses/by/4.0/