Pasture BMP effectiveness using an HRU-based subarea approach in SWAT

K-REx Repository

Show simple item record

dc.contributor.author Sheshukov, Aleksey Y.
dc.contributor.author Douglas-Mankin, Kyle R.
dc.contributor.author Sinnathamby, Sumathy
dc.contributor.author Daggupati, Prasad
dc.date.accessioned 2017-06-30T20:40:14Z
dc.date.available 2017-06-30T20:40:14Z
dc.date.issued 2016-01-15
dc.identifier.uri http://hdl.handle.net/2097/35757
dc.description Citation: Aleksey Y. Sheshukov, Kyle R. Douglas-Mankin, Sumathy Sinnathamby, Prasad Daggupati, Pasture BMP effectiveness using an HRU-based subarea approach in SWAT, Journal of Environmental Management, Volume 166, 2016, Pages 276-284, ISSN 0301-4797, http://dx.doi.org/10.1016/j.jenvman.2015.10.023.
dc.description.abstract Many conservation programs have been established to motivate producers to adopt best management practices (BMP) to minimize pasture runoff and nutrient loads, but a process is needed to assess BMP effectiveness to help target implementation efforts. A study was conducted to develop and demonstrate a method to evaluate water-quality impacts and the effectiveness of two widely used BMPs on a livestock pasture: off-stream watering site and stream fencing. The Soil and Water Assessment Tool (SWAT) model was built for the Pottawatomie Creek Watershed in eastern Kansas, independently calibrated at the watershed outlet for streamflow and at a pasture site for nutrients and sediment runoff, and also employed to simulate pollutant loads in a synthetic pasture. The pasture was divided into several subareas including stream, riparian zone, and two grazing zones. Five scenarios applied to both a synthetic pasture and a whole watershed were simulated to assess various combinations of widely used pasture BMPs: (1) baseline conditions with an open stream access, (2) an off-stream watering site installed in individual subareas in the pasture, and (3) stream or riparian zone fencing with an off-stream watering site. Results indicated that pollutant loads increase with increasing stocking rates whereas off-stream watering site and/or stream fencing reduce time cattle spend in the stream and nutrient loads. These two BMPs lowered organic P and N loads by more than 59% and nitrate loads by 19%, but TSS and sediment-attached P loads remained practically unchanged. An effectiveness index (EI) quantified impacts from the various combinations of off-stream watering sites and fencing in all scenarios. Stream bank contribution to pollutant loads was not accounted in the methodology due to limitations of the SWAT model, but can be incorporated in the approach if an amount of bank soil loss is known for various stocking rates. The proposed methodology provides an adaptable framework for pasture BMP assessment and was utilized to represent a consistent, defensible process to quantify the effectiveness of BMP proposals in a BMP auction in eastern Kansas.
dc.relation.uri https://doi.org/10.1016/j.jenvman.2015.10.023
dc.rights © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Best management practices
dc.subject Grazing management
dc.subject Hydrologic response unit
dc.subject Pasture
dc.subject Livestock
dc.subject SWAT
dc.title Pasture BMP effectiveness using an HRU-based subarea approach in SWAT
dc.type Article
dc.date.published 2015
dc.citation.doi 10.1016/j.jenvman.2015.10.023
dc.citation.epage 284
dc.citation.issn 0301-4797
dc.citation.jtitle Journal of Environmental Management
dc.citation.spage 276
dc.citation.volume 166
dc.description.embargo 2017-10-28
dc.contributor.authoreid ashesh
dc.contributor.kstate Sheshukov, Aleksey Y.


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license Except where otherwise noted, the use of this item is bound by the following: © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

cads@k-state.edu