Water Quality Corridor Management for Restoration (WQCM-R) Modeling Dataset

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Description

The dataset was developed to support research intended to develop a spatially-explicit model that prioritizes riparian areas in terms of potential for ecosystem restoration specifically to improve water quality downstream of the riparian area, and ultimately improve drinking water quality. The model was developed and then tested on the Lewisville Lake watershed (north central Texas, just north of Dallas, Texas, USA). The dataset contains environmental data for 90 sub-watersheds that form the overall Lewisville Lake watershed with a corresponding identification map.

Physical Description

2 datasets ; 812 KB (.xlsx) and 13 KB (.csv) + 1 map

Creation Information

Atkinson, Samuel F. June 10, 2019.

Context

This dataset is part of the collection entitled: UNT Data Repository and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 163 times. More information about this dataset can be viewed below.

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Description

The dataset was developed to support research intended to develop a spatially-explicit model that prioritizes riparian areas in terms of potential for ecosystem restoration specifically to improve water quality downstream of the riparian area, and ultimately improve drinking water quality. The model was developed and then tested on the Lewisville Lake watershed (north central Texas, just north of Dallas, Texas, USA). The dataset contains environmental data for 90 sub-watersheds that form the overall Lewisville Lake watershed with a corresponding identification map.

Physical Description

2 datasets ; 812 KB (.xlsx) and 13 KB (.csv) + 1 map

Notes

The dataset is in two formats: Microsoft Excel (1 file with two tabs, 812 KB) and comma delimited (1 file, 13 KB). These files contain the same data, but are provided in two formats for user’s convenience. Additionally, a map of the Lewisville Lake watershed with 90 sub-watersheds delineated is embedded in the Microsoft Excel file, and is also provided as a separate pdf file.

Water Quality Corridor Management for Restoration (WQCM-R) modeling project, WQCM-R data prepared by Dr. Samuel Atkinson, Advanced Environmental Research Institute, University of North Texas.
Contact email: atkinson@unt.edu.

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UNT Data Repository

The UNT Data Repository is a central archive to provide long-term preservation and access to the research data of the UNT scholarly community. The Data Repository works in conjunction with the UNT Scholarly Works repository to ensure long-term access to the full range of research outputs from UNT.

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Related Items

Prioritizing riparian corridors for ecosystem restoration in urbanizing watersheds (Article)

Prioritizing riparian corridors for ecosystem restoration in urbanizing watersheds

This article explores restoration, rather than protection, being the basis for developing a watershed level strategy for improving water quality in urbanizing watersheds.This study uses a geographical information system (GIS) approach that utilizes riparian characteristics extracted from 40-meter wide corridors centered on streams and rivers. The model was applied to 90 sub-watersheds in the watershed of an important drinking water reservoir in north central Texas, USA.

Prioritizing riparian corridors for ecosystem restoration in urbanizing watersheds - ark:/67531/metadc1633736

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Digital Files

When

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Creation Date

  • June 10, 2019

Added to The UNT Digital Library

  • June 13, 2019, 7:27 a.m.

Description Last Updated

  • Oct. 22, 2019, 12:28 p.m.

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Yesterday: 0
Past 30 days: 1
Total Uses: 163
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Atkinson, Samuel F. Water Quality Corridor Management for Restoration (WQCM-R) Modeling Dataset, dataset, June 10, 2019; (https://digital.library.unt.edu/ark:/67531/metadc1506243/: accessed May 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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