This download tool will auto-populate options in the following tabs based on the research sites selected below. It is recommended to “Select All” sites if you want to retain the most options moving forward.

  Saturated Buffers
  Controlled Drainage
  Drainage Water Recycling
  Other

Transforming Drainage Sites

View the Google Map which has plots and infrastructure locations identified. Some sites are not included in the Google map because of privacy concerns for research located on farmer fields.


Saturated Buffers

Research Site Code

Principal Investigator

Research Site Official Name

Institution

Plot Map

Photographs

Site Summary

IA_BooneJaynesPrivate Farm at Boone County, IAUSDA Agricultural Research Service Link Link PDF
IA_GrundyJaynesPrivate Farm at Grundy County, IAUSDA Agricultural Research Service Link Link PDF
IA_Hamilton1JaynesPrivate Farm at Bear Creek (Site 1)USDA Agricultural Research Service Link LinkNot Available
IA_Hamilton2JaynesPrivate Farm at Bear Creek (Site 2)USDA Agricultural Research Service Link Link PDF
IA_Hamilton3JaynesPrivate Farm at Hamilton County, IAUSDA Agricultural Research Service Link LinkNot Available
IA_Story1JaynesPrivate Farm at Hickory GroveUSDA Agricultural Research Service Link Link PDF
IA_TamaJaynesPrivate Farm at Rock CreekUSDA Agricultural Research Service Link LinkNot Available
MN_Wilkin3KjaersgaardRed River Valley Drainage Water Management (RRVDWM)Minnesota Department of Agriculture Link Link PDF

Controlled Drainage

Research Site Code

Principal Investigator

Research Site Official Name

Institution

Plot Map

Photographs

Site Summary

IA_Story2JaynesPrivate Farm at Story County, IAUSDA Agricultural Research Service LinkNot Available PDF
IA_WashingtonHelmersSoutheast Research and Demonstration Farm (SERF)Iowa State University Link Link PDF
IN_RandolphFrankenbergerDavis Purdue Agricultural Center (DPAC)Purdue University Link Link PDF
MN_Redwood1StrockPrivate farm at Redwood County, MNUniversity of Minnesota Link LinkNot Available
MN_Wilkin1KjaersgaardRed River Valley Drainage Water Management (RRVDWM)Minnesota Department of Agriculture Link Link PDF
MN_Wilkin2KjaersgaardRed River Valley Drainage Water Management (RRVDWM)Minnesota Department of Agriculture Link Link PDF
MO_Knox1NelsonGreenley Memorial Research CenterUniversity of Missouri Link Link PDF
MO_Knox3NelsonPrivate Farm at Bee Ridge TownshipUniversity of Missouri Link Link PDF
MO_Knox4NelsonGreenley Memorial Research CenterUniversity of Missouri LinkNot Available PDF
NC_WashingtonYoussefTidewater Research StationNorth Carolina State University LinkNot AvailableNot Available
OH_Auglaize1FauseyPrivate Farm in Auglaize County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_Auglaize2FauseyPrivate Farm in Auglaize County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_CrawfordFauseyPrivate Farm in Crawford County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_Defiance1FauseyPrivate Farm in Defiance County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_DelawareKingThe Upper Big Walnut Creek (UBWC) watershedUSDA Agricultural Research Service LinkNot Available PDF
OH_Hardin1FauseyPrivate Farm in Hardin County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_Hardin2FauseyPrivate Farm in Hardin County, OHUSDA Agricultural Research Service LinkNot Available PDF
OH_HenryFauseyPrivate Farm in Henry County, OHUSDA Agricultural Research Service LinkNot Available PDF
SD_ClayAhiablameSoutheast Research Farm (SERF)South Dakota State University Link Link PDF

Drainage Water Recycling

Research Site Code

Principal Investigator

Research Site Official Name

Institution

Plot Map

Photographs

Site Summary

MN_Clay2JiaPrivate Farm in Clay County, MNNorth Dakota State University Link Link PDF
MN_Redwood3StrockSouthwest Research and Outreach Center (SWROC)University of Minnesota Link Link PDF
MO_Knox2NelsonGreenley Memorial Research CenterUniversity of Missouri Link Link PDF
MO_ShelbyNelsonGreenley Memorial Research Center - The Ross Jones FarmUniversity of Missouri Link Link PDF
OH_Defiance2AllredWetland Reservoir Subirrigation Systems (WRSIS) Demonstration SiteUSDA Agricultural Research Service Link Link PDF
OH_FultonAllredWetland Reservoir Subirrigation Systems (WRSIS) Demonstration SiteUSDA Agricultural Research Service Link Link PDF
OH_VanWertAllredWetland Reservoir Subirrigation Systems (WRSIS) Demonstration SiteUSDA Agricultural Research Service Link Link PDF

Other

Research Site Code

Principal Investigator

Research Site Official Name

Institution

Plot Map

Photographs

Site Summary

IN_TippecanoeBowlingAgronomy Center for Research and Education (ACRE)Purdue University Link LinkNot Available
MN_Clay1JiaPrivate Farm in Clay County, MNNorth Dakota State University Link Link PDF
MN_Clay3JiaPrivate Farm in Clay County, MNNorth Dakota State University Link Link PDF
MN_Redwood2StrockPrivate farm at Redwood County, MNUniversity of Minnesota Link LinkNot Available
ND_RichlandJiaPrivate Farm in Richland County, NDNorth Dakota State University Link Link PDF

Articles with open access availability are in bold. These do not require a subscription to the journal to access. For individuals without accessibility to certain journals, contact isudatateam@iastate.edu for requests to articles below that are subscription-only.

Askar, M.H., M.A. Youssef, P.A. Vadas, D.L. Hesterberg, A. Amoozegar, G.M. Chescheir, and R.W. Skaggs. 2021. DRAINMOD-P: A model for simulating phosphorus dynamics and transport in drained agricultural lands. I. Model development. Transactions of the ASABE. 64[6]: 1835-1848. https://doi.org/10.13031/trans.14509

Askar, M.H., M.A. Youssef, D.L. Hesterberg, K.W. King, A. Amoozegar, R.W. Skaggs, G.M. Chescheir, and E. Ghane. 2021. DRAINMOD-P: Predicting surface and subsurface phosphorus losses from a drained agricultural field with desiccation cracks in northwest Ohio. II. Model testing. Transactions of the ASABE. 64[6]: 1849-1866. https://doi.org/10.13031/trans.14510

Ghane, E., M.H. Askar, and R.W. Skaggs. 2021. Design drainage rates to optimize crop production for subsurface-drained fields. Agricultural Water Management. 257: 107045 https://doi.org/10.1016/j.agwat.2021.107045

Gunn, K.M., W.J. Baule, J.R. Frankenberger, D.L. Gamble, B.J. Allred, J.A. Andresen and L.C. Brown. 2018. Modeled climate change impacts on subirrigated maize relative yield in northwest Ohio. Agricultural Water Management. 206: 56-66. https://doi.org/10.1016/j.agwat.2018.04.034

Helmers, M.J., L. Abendroth, B. Reinhart, G. Chighladze, L. Pease, L. Bowling, M. Youssef, E. Ghane, L. Ahiablame, L. Brown, N. Fausey, J. Frankenberger, D. Jaynes, K. King, E. Kladivko, K. Nelson, J. Strock. 2022. Impact of controlled drainage on subsurface drain flow and nitrate load: A synthesis of studies across the U.S. Midwest and Southeast. Agricultural Water Management. 259: 107265 https://doi.org/10.1016/j.agwat.2021.107265

Jaynes, D.B. and T.M. Isenhart. 2018. Performance of saturated riparian buffers in Iowa, USA. Journal of Environmental Quality. 48[2]: 289-296. https://doi.org/10.2134/jeq2018.03.0115

Kolars, K., X. Jia, D.D. Steele, and T.F. Scherer. 2019. A soil water balance model for subsurface water management. Applied Engineering in Agriculture 35[4]: 633-646. https://doi.org/10.13031/aea.13038

Moursi, H., M.A. Youssef, and G.M. Chescheir. . 2022. Development and application of DRAINMOD model for simulating crop yield and water conservation benefits of drainage water recycling. Agricultural Water Management. 266: 107592 https://doi.org/10.1016/j.agwat.2022.107592

Nash, P.R., G. Singh, and K.A. Nelson. 2020. Nutrient Loss from Floodplain Soil with Controlled Tile Drainage Under Forage Production. Journal of Environmental Quality. 49[4]: 1000-1010. https://doi.org/10.1002/jeq2.20072

Negm, L.M., M.A. Youssef, and D.B. Jaynes. 2017. Evaluation of DRAINMOD-DSSAT simulated effects of controlled drainage on crop yield, water balance, and water quality for a corn-soybean cropping system in central Iowa. Agricultural Water Management. 187: 57-68. https://doi.org/10.1016/j.agwat.2017.03.010

Nelson, K.A. 2017. Soybean yield variability of drainage and subirrigation systems in a claypan soil. Applied Engineering in Agriculture. 33[6]: 801-809. https://doi.org/10.13031/aea.12276

Niaghi, A.R. and X. Jia. 2019. New approach to improve the soil water balance method for evapotranspiration estimation. Water. 11[12]: 2478 https://doi.org/10.3390/w11122478

Niaghi, A. R., X. Jia, T. F. Scherer, and D.D. Steele. 2019. Measurement of non-irrigated turfgrass evapotranspiration rate in the Red River Valley. Vadose Zone Journal. 18[1]: 1-11. https://doi.org/10.2136/vzj2018.11.0202

Niaghi, A.R., X. Jia, D.D. Steele, and T.F. Scherer. 2019. Drainage water management effects on energy flux partitioning, evapotranspiration, and crop coefficients of corn. Agricultural Water Management. 225[20]: 105760 https://doi.org/10.1016/j.agwat.2019.105760

Reinhart, B.D., J.R. Frankenberger, C.H. Hay, and M.J. Helmers. 2019. Simulated water quality and irrigation benefits from drainage water recycling at two tile-drained sites in the US Midwest. Agricultural Water Management. 223: 105699 https://doi.org/10.1016/j.agwat.2019.105699

Reinhart, B., J. Frankenberger, C. Hay, L. Bowling, and B. Hancock. 2020. Development and sensitivity analysis of an online tool for evaluating drainage water recycling decisions. Transactions of the ASABE. 63[6]: 1991-2002. https://elibrary.asabe.org/azdez.asp?JID=3&AID=51810&CID=t2020&v=63&i=5&T=1&refer=7&access=

Roy, D., X. Jia, D. D. Steele, and D. Lin. 2018. Development and comparison of soil water release curves for three soils in the Red River Valley of the North, USA. Soil Science Society of America Journal. 82[3]: 568-577. https://doi.org/10.2136/sssaj2017.09.0324.

Roy, D., X. Jia, D.D. Steele, X. Chu, and Z. Lin. 2020. Infiltration into frozen silty clay loam soil with different soil water contents in the Red River of the North Basin in the U.S. Water. 12[2]: 321 https://doi.org/10.3390/w12020321

Saadat, S., L. Bowling, J. Frankenberger, and K. Brooks. 2017. Effects of controlled drainage on water table recession rate. Transactions of the ASABE. 60[3]: 813-821. https://doi.org/10.13031/trans.11922

Saadat, S., L. Bowling, J. Frankenberger, and E. Kladivko. 2018. Nitrate and phosphorus transport through subsurface drains under free and controlled drainage. Water Research. 142: 196-207. https://doi.org/10.1016/j.watres.2018.05.040

Saadat, S., L. Bowling, J. Frankenberger, and E. Kladivko. 2018. Estimating drain flow from measured water table depth in layered soils under free and controlled drainage. Journal of Hydrology. 556: 339-348. https://doi.org/10.1016/j.jhydrol.2017.11.001

Singh, G. and K.A. Nelson. 2020. Long-term drainage, subirrigation, and tile spacing effects on maize production. Field Crops Research. 262: 108032 https://doi.org/10.1016/j.fcr.2020.108032

Willison, R.S., K.A. Nelson, L.J. Abendroth, G. Chighladze, C.H. Hay, X. Jia, J. Kjaersgaard, B.D. Reinhart, J.S. Strock, and C.K. Wikle. 2020. Corn yield response to subsurface drainage water recycling in the Midwestern United States. Agronomy Journal. 113[2]: 1865-1881 https://doi.org/10.1002/agj2.20579

Yu, F., J. Frankenberger, J. Ackerson, and B. Reinhart. 2020. Potential suitability of subirrigation for field crops in the U.S. Midwest. Transactions of the ASABE. 63[5]: 1559-1570. https://elibrary.asabe.org/azdez.asp?JID=3&AID=51810&t=2&v=0&i=0&CID=t0000&downPDF=Y&directPDF=Y

Several graduate students were supported by and contributed to the scientific discoveries and publications of the Transforming Drainage team. Their theses and dissertations are provided here via links to their major University library.

Brooks, F. 2016. Development of an approximate DRAINMOD-based tool to estimate annual drainage flow and nitrate loading for drained cropland in Midwestern United States. North Carolina State University. Raleigh, NC. NCSU Repository. http://www.lib.ncsu.edu/resolver/1840.20/33756

Kolars, K. 2016. Incorporation of subsurface drainage and subirrigation into the Checkbook Method. North Dakota State University, Fargo, ND. NDSU Repository. https://hdl.handle.net/10365/27923

Locker, A. 2018. Controlled drainage: Assessment of yield impacts and education effectiveness. Purdue University, West Lafayette, IN. ProQuest Dissertations Publishing. 10841298. https://search.proquest.com/docview/2103938365

Niaghi, A.R. 2019. Advanced evapotranspiration measurement for crop water management in the Red River Valley. North Dakota State University, Department of Agricultural and Biosystems Engineering. Fargo, ND. https://library.ndsu.edu/ir/handle/10365/31644

Reinhart, B.D. 2019. Evaluating drainage water recycling in tile-drained systems. Purdue University, Agricultural and Biological Engineering Department. West Lafayette, IN.

Roy, D. 2018. Snowmelt water infiltration into frozen soil in Red River of the North Basin. North Dakota State University, Fargo, ND. ProQuest Dissertations Publishing. 10789714. https://search.proquest.com/docview/2043383985

Saadat, S. 2019. Evaluation of hydrological processes and environmental impacts of free and controlled subsurface drainage. Purdue University, Agricultural and Biological Engineering Department. West Lafayette, IN.

Sahani, A. 2018. A demonstration study of drainage water management in Eastern South Dakota. South Dakota State University, Brookings, S.D. Electronic Theses and Dissertations. 2148. https://openprairie.sdstate.edu/etd/2148

Smith, S.D. 2015. Evaluating management options: Simulating wetland process and performance of nutrient reduction by use of a water quality algorithm. Purdue University, West Lafayette, IN. ProQuest Dissertations Publishing. 10062223. http://search.proquest.com/docview/1776702775?accountid=13360

Select the sites and practices of interest for visualization by referencing these maps. View the Google Map which has plots and infrastructure locations identified. Some sites are not included in the Google map because of privacy concerns for research located on farmer fields.

Transforming Drainage Sites

Measurements include:

Project-wide tools are also available at Transforming Drainage Tools. You will find geospatial tools for identifying areas where these drainage practices may be successful as well as calculators to determine installation specifications and effectiveness of practices.


Research data were published at USDA National Agricultural Library Ag Data Commons in March 2021 at doi:10.15482/USDA.ADC/152109. Additional data or edits made to that dataset will be listed here in the future.


Supplementary weather data are available for Transforming Drainage research sites and are provided from nearby weather networks. These data are most appropriate to use with these research sites because of proximity. The data are collected from a variety of sources, including the National Climatic Data Center, National Weather Service, and State Climatologists with curation and management by Iowa Environmental Mesonet. These entities revise their data and will produce updated values that are reprocessed into this archive.

Documentation on this dataset can be found here

Select Research Site(s):


Select Time Period:

YearMonthDay
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Select Data Variables:
Date and Day of Year are included automatically in the export. To select multiple data, hold CTRL key down while selecting options here.

Optional: Specialized Model Formats for Export:
These are specialized formats typically used for modelling and their choice dictates the variables to be included.

Data Delimitation:
How shall the output values be separated?

The downloaded data file name will contain the weather station identifiers if you request data from 9 or less sites. For requests over 9 sites, the filename will simply be "changeme". Refer to the drop-down above for reminder as to which site it corresponds with.

On-site weather stations existed at some research sites to provide finer resolution weather data as compared to the networked weather data which can be a mile or more away. This on-site weather data is especially valuable for precipitation amounts as that will vary more spatially than temperature or wind.

On-site weather stations tend to be less robust of instrumentation however than the weather data included under the first tab. It is recommended to use this on-site data as a secondary data set to refine the networked data. It is expected that the temperature and wind values will be near identical between the stations but the precipitation amounts will vary.

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Select Time Period:

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