Electrical Conductivity of Agricultural Drainage Water in Iowa

dc.contributor.author Zimmerman, Brett
dc.contributor.author Kaleita, Amy
dc.contributor.department Department of Agricultural and Biosystems Engineering (ENG)
dc.date 2018-02-18T21:23:45.000
dc.date.accessioned 2020-06-29T22:42:53Z
dc.date.available 2020-06-29T22:42:53Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.issued 2017-01-01
dc.description.abstract <p>Assessing the effectiveness of management strategies to reduce agricultural nutrient efflux is hampered by the lack of affordable, continuous monitoring systems. Generalized water quality monitoring is possible using electrical conductivity. However environmental conditions can influence the ionic ratios, resulting in misinterpretations of established electrical conductivity and ionic composition relationships. Here we characterize specific electrical conductivity (k<sub>25</sub>) of agricultural drainage waters to define these environmental conditions and dissolved constituents that contribute to k<sub>25</sub>. A field investigation revealed that the magnitude of measured k<sub>25</sub> varied from 370 to 760 µS cm<sup>-1</sup>. Statistical analysis indicated that variability in k<sub>25</sub> was not correlated with drainage water pH, temperature, nor flow rate. While k<sub>25</sub> was not significantly different among drainage waters from growing and post-growing season, significant results were observed for different cropping systems. Soybean plots in rotation with corn had significantly lower conductivities than those of corn plots in rotation with soybeans, continuous corn plots, and prairie plots. In addition to evaluating k<sub>25</sub> variability, regression analysis was used to estimate the concentration of major ions in solution from measured k<sub>25</sub>. Regression results indicated that HCO<sub>3</sub><sup>-</sup>, Ca<sup>2+</sup>, NO<sub>3</sub><sup>-</sup>, Mg<sup>2+</sup>, Cl<sup>-</sup>, Na<sup>2+</sup>, SO<sub>4</sub><sup>2-</sup> were the major drainage constituents contributing to the bulk electrical conductivity. Calculated ionic molal conductivities of these analytes suggests that HCO<sub>3</sub><sup>-</sup>, Ca<sup>2+</sup>, NO<sub>3</sub><sup>-</sup>, and Mg<sup>2+</sup> account for approximately 97% of the bulk electrical conductivity.</p>
dc.description.comments <p>This article is from Applied Engineering in Agriculture. 33(3): 369-378. (doi: <a href="http://dx.doi.org/10.13031/aea.12040" target="_blank">10.13031/aea.12040</a>). Posted with permissin.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/817/
dc.identifier.articleid 2103
dc.identifier.contextkey 10621709
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/817
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1621
dc.language.iso em
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/817/2017_Kaleita_ElectricalConductivity.pdf|||Sat Jan 15 02:07:21 UTC 2022
dc.source.uri 10.13031/aea.12040
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Water Resource Management
dc.subject.keywords Electrical conductivity
dc.subject.keywords Salinity
dc.subject.keywords Subsurface drainage
dc.subject.keywords Total dissolved solids
dc.title Electrical Conductivity of Agricultural Drainage Water in Iowa
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2017_Kaleita_ElectricalConductivity.pdf
Size:
457.47 KB
Format:
Adobe Portable Document Format
Description:
Collections