Identifying Potential Locations for Grassed Waterways using Terrain Attributes and Precision Conservation Technologies

dc.contributor.author Gali, Rohith
dc.contributor.author Kaleita, Amy
dc.contributor.author Daggupati, Prasad
dc.contributor.author Soupir, Michelle
dc.contributor.department Department of Agricultural and Biosystems Engineering (ENG)
dc.date 2018-02-17T05:37:12.000
dc.date.accessioned 2020-06-29T22:41:38Z
dc.date.available 2020-06-29T22:41:38Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2015
dc.date.issued 2015-01-01
dc.description.abstract <p>Grassed waterways (GWWs) are an effective conservation practice for preventing ephemeral gully erosion resulting from channelized surface runoff in agricultural fields. However, field reconnaissance to identify areas of channelized erosion within a watershed can be time-consuming and labor-intensive. Recent advances in precision conservation and light detection and ranging (LiDAR) technologies can provide valuable information on environmentally sensitive areas that cause soil degradation. The objective of this study was to demonstrate that a compound topographic index (CTI) model supplemented with LiDAR data can be used to identify potential GWW locations and inform design recommendations. A LiDAR digital elevation model with a spatial resolution of 3 m was used to derive terrain attributes (slope, drainage area, and plan curvature). The GWW identification and design process was automated in the ArcGIS Python environment. The plan curvature identified erosion channels, but discontinuity in the model output was observed. The CTI model was calibrated to a field with GWWs installed under USDA-NRCS guidelines, which yielded a CTI threshold of 30. The calibrated model (CTI = 30) was able to identify all 14 existing GWWs in the watershed. Field surveys were conducted in the watershed, and areas exhibiting evidence of channelized erosion were identified by the model for GWW placement. Furthermore, the CTI model overestimated (PBIAS = -23.34%) the lengths of predicted GWWs, suggesting a need to further extend the existing GWWs. The total surface area of the predicted GWWs was 29.3 ha in the study watershed, with depth of GWWs reaching 0.3 m. The design process provides an estimate of land to be set aside for conservation practices. The terrain analysis was effective in targeting conservation practice placement and improves the accuracy of field assessments.</p>
dc.description.comments <p>This article was published in <em>Transactions of the ASABE</em> 58(5): 1231-1239 (doi: <a href="http://dx.doi.org/10.13031/trans.58.10995" target="_blank">10.13031/trans.58.10995</a>). Copyright 2015 American Society of Agricultural and Biological Engineers.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/658/
dc.identifier.articleid 1940
dc.identifier.contextkey 7830604
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/658
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1447
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/658/2015_Gali_IdentifyingPotential.pdf|||Sat Jan 15 01:24:44 UTC 2022
dc.source.uri 10.13031/trans.58.10995
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Sustainability
dc.subject.disciplines Water Resource Management
dc.subject.keywords Grassed waterways
dc.subject.keywords LiDAR
dc.subject.keywords Topographic index
dc.subject.keywords Waterway design
dc.title Identifying Potential Locations for Grassed Waterways using Terrain Attributes and Precision Conservation Technologies
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isAuthorOfPublication 04becbfb-7a97-4d96-a0dd-5514295530ee
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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