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Supporting data: "Landscape pollution source dynamics highlight priority locations for basin-scale interventions to protect water quality under hydroclimatic variability"
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Type: | Resource | |
Storage: | The size of this resource is 3.1 GB | |
Created: | Apr 05, 2023 at 7:41 p.m. | |
Last updated: | Apr 25, 2023 at 12:33 p.m. (Metadata update) | |
Published date: | Apr 25, 2023 at 12:33 p.m. | |
DOI: | 10.4211/hs.a5f2049820db480fa3e03c0ea7216b56 | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 1045 |
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Abstract
This resource contains supporting data for the publication "Landscape pollution source dynamics highlight priority locations for basin-scale interventions to protect water quality under hydroclimatic variability".
A Cape Fear River Basin Water Quantity and Quality Soil and Water Assessment Tool Model (CFRB WQQ SWAT Model) was developed to examine risks to water quality from point and non-point sources under current land use and weather conditions from 1982-2019, and to facilitate the evaluation of scenarios, including watershed-scale restoration of forests and wetlands. This work built on a Cape Fear River Basin Water Quantity Model developed by USGS for a Coastal Carolinas Focus Area Study of water availability and water use.
Datasets contained in this resource include:
-Spatial data delineating the basin, the CFRB WQQ SWAT Model subbasins, and the CFRB SWAT Model reach network.
-Predicted daily streamflow and loads of sediment, total nitrogen and total phosphorus based on the SWAT simulation reach and reservoir outputs.
-Predicted runoff and loads of sediment, total nitrogen and total phosphorus based on the SWAT simulation subbasin output.
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Content
ReadMe.txt
Date created: August 29, 2022 Date updated: April 7, 2023 Danica Schaffer-Smith d.schaffer-smith@tnc.org ## PURPOSE: Supporting data for "Landscape pollution source dynamics highlight priority locations for basin-scale interventions to protect water quality under hydroclimatic variability". The Nature Conservancy and Arizona State University developed the Cape Fear River Basin Water Quantity and Quality SWAT Model (CFRB SWAT WQQ Model) to 1) understand hydrology and water quality across the basin under contemporary land use and management subject to a variety of weather conditions, and 2) identify locations where landscape interventions, such as large-scale wetland and forest restoration could help improve water quality under climate change. ## SIMULATIONS: To examine baseline conditions and to generate a water quality risk index (WQRI) to identify intervention priorities in the CFRB, the model was run at a daily time step from January 1, 1979 to December 31, 2019 with the first three years serving as a model warm-up period. To assess the relative importance of point vs. non-point sources, the model was run again without point sources for the period January 1, 2010 to December 31, 2019. SWAT simulation results incorporated in the analysis for the publication include: -Predicted daily contributions of runoff, sediment, and nutrient loads from each subbasin for the years 1982-2019. -Predicted daily flow, and in-stream loads of sediment and nutrients in each reach within the stream network for the years 1982-2019. -Predicted daily flow, and loads of sediment and nutrients in reservoir outflow for the years 1982-2019. -Predicted daily flow, and in-stream loads of sediment and nutrients in each reach within the stream network for the years 2010-2019, without point sources. -Predicted daily flow, and loads of sediment and nutrients in reservoir outflow for the years 2010-2019, without point sources. SWAT output files and data fields are described in detail in the SWAT 2012 documentation available from: https://swat.tamu.edu/media/69296/swat-io-documentation-2012.pdf ## FILE CONTENTS: # SWAT Simulation Output "baseline_sub_data_reformatted_1982-2019.csv" provides daily subbasin output from January 1, 1982 to December 31, 2019. There are 2928 subbasins in the CFRB SWAT WQQ Model. date = date YYYY-MM-DD yday = year day (1-366) month = month of the year (1-12) SUB = unique ID for the subbasin (matches reach ID) in the SWAT model AREA = area of the subbasin in square kilometers PRECIPmm = precipitation in millimeters SNOMELTmm = snow melting during time step (water equivalent in millimeters) PETmm = potential evapotranspiration in millimeters ETmm = actual evapotranspiration in millimeters SWmm = soil water content in millimeters PERCmm = water percolating past the root zone in millimeters SURQmm = surface runoff contribution to streamflow in millimeters GW_Qmm = groundwater contribution to streamflow in millimeters WYLDmm = water yield in millimeters SYLDt_ha = sediment yield in metric tons per hectare ORGNkg_ha = organic nitrogen load in kilograms per hectare ORGPkg_ha organic phosphorus load in kilograms per hectare NSURQkg_ha = NO3 in surface runoff in kilograms per hectare SOLPkg_ha = soluble phosphorus yield in kilograms per hectare SEDPkg_ha = mineral phosphorus yield in kilograps per hectare LATQmm = lateral flow contribution to streamflow in millimeters LATNO3kg_h = NO3 in lateral flow in kilograms per hectare GWNO3kg_ha = NO3 in groundwater in kilograms per hectare CHOLAmic_L = chlorophyll-a loading in kilograms CBODUmg_L = carbonaceous biological oxygen demand loading in kilograms DOXQmg_L = dissolved oxygen loading in kilograms TNO3kg_ha = NO3 in tile flow in kilograms per hectare "baseline_rch_and_rsv_data_reformatted_1982-2019.csv" provides daily combined reach and reservoir output simulation at the reach scale. There are 2928 reaches in the stream network in the CFRB WQQ SWAT Model. The reach identifier (RCH) matches the identifier for the subbasin that contains each reach. Fields: date = date YYYY-MM-DD yday = year day (1-366) month = month of the year (1-12) RCH = unique ID for the reach (matches subbasin ID) in the SWAT model FLOW_OUTcms = streamflow in cubic meters per second ORGN_OUTkg = organic nitrogen load in kilograms ORGP_OUTkg = organic phosphorus load in kilograms NO3_OUTkg = nitrate load in kilograms NH4_OUTkg = ammonium load in kilograms NO2_OUTkg = nitrite load in kilograms MINP_OUTkg = mineral phosphorus load in kilograms SED_OUTtons = sediment load in metric tons "baseline_rch_and_rsv_data_no_pt_source_reformatted_2010-2019.csv" " provides in-stream simulation output January 1, 2010 to December 31, 2019 without point sources. Fields: date = date YYYY-MM-DD yday = year day (1-366) month = month of the year (1-12) RCH = unique ID for the reach (matches subbasin ID) in the SWAT model FLOW_OUTcms = streamflow in cubic meters per second ORGN_OUTkg = organic nitrogen load in kilograms ORGP_OUTkg = organic phosphorus load in kilograms NO3_OUTkg = nitrate load in kilograms NH4_OUTkg = ammonium load in kilograms NO2_OUTkg = nitrite load in kilograms MINP_OUTkg = mineral phosphorus load in kilograms SED_OUTtons = sediment load in metric tons # Spatial Data SWAT simulation output can be represented spatially by linking simulation output to geospatial data. "subbasins.shp" contains the model subbasin shapefile (NC State Plane US Feet). The field 'SUB' contains the unique identifier for the subbasin that matches the 'SUB' field in the subbasin output. Fields: SUB = unique identifier for the subbasin (1-2928) AREA = subbasin area in hectares "reach.shp" contains the model reach shapefile (NC State Plane US Feet). The field 'RCH' contains the unique identifier for the reach that matches the 'RCH' field in the reach output. Fields: RCH = unique identifier for the reach and subbasin (1-2928) FROM_NODE = unique identifer for the subbasin the reach occurs in TO_NODE = unique identifer of the next subbasin downstream AreaC = cumulated drainage area in hectares
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Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Arizona State University | NatureNet Science Fellowship | |
The Nature Conservancy | NatureNet Science Fellowship | |
North Carolina Attorney General's Office | Environmental Enhancement Grant |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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