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 |
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