• Flood risk for Iowa farmland

    From ScienceDaily@1:317/3 to All on Wed Apr 6 22:30:40 2022
    Flood risk for Iowa farmland

    Date:
    April 6, 2022
    Source:
    University of Iowa
    Summary:
    Researchers have created a detailed set of maps examining the
    flood risk for all farmland in Iowa. The maps show 450,000 acres
    of crops in areas with a 50% chance of flooding, and losses from
    flooding averaging $230 million annually.



    FULL STORY ==========================================================================
    As farmers ready for planting season, a new study examines the flood
    risk for all cropland in Iowa.


    ==========================================================================
    The study from IIHR-Hydroscience and Engineering at the University of
    Iowa is the first to detail the flood risk to farmland statewide. The researchers used flood maps developed at the Iowa Flood Center, and incorporated data from the Federal Emergency Management Agency (FEMA) and
    the U.S. Department of Agriculture to create the crop flood-risk analysis.

    Among the main findings:
    * Nearly 450,000 acres of Iowa farmland are located in a two-year
    flood
    return period, meaning there's a 50% chance the land will flood
    in a given year. That's less than 2% of the total farmable land
    analyzed in the study.

    * Iowa agriculture sees crop losses, on average, of $230 million a
    year due
    to farming that takes place in flood-prone areas.

    The researchers also identified four watersheds as most vulnerable to
    flooding and crop losses: Middle Cedar in east-central Iowa, North Raccoon
    and South Skunk in central Iowa, and West Nishnabotna in southwest Iowa.

    The new agricultural flood-risk maps developed by the IIHR researchers
    can be updated to reflect changes in climate; changes in land use, such
    as a shift in farming in a location; and changes to the landscape, such
    as the addition of a road or other infrastructure, to give a continuous
    picture of the flood potential for farmland across the state.

    "It's a comprehensive approach to help create solutions with information
    that helps farmers take a clear-eyed look at their land and for
    policymakers and others to use as a starting point to determine how
    Iowa's landscape can be best used to reduce flooding," says Enes Yildirim, graduate research assistant at IIHR and the study's corresponding author.



    ==========================================================================
    The researchers analyzed nearly 25 million acres of agricultural land in
    Iowa and farming operations from 2016 to 2020 to classify the flood risk according to eight scenarios: 2-year, 5-year, 10-year, 25-year, 50-year, 100-year, 200- year, and 500-year return periods. Cropland located in
    a 2-year return period has a 50% chance of flooding in a given year;
    farmland in a 5-year return period has a 20% of flooding in a given year;
    while farmland in a 100-year return period has a 1% chance of flooding
    in a given year.

    The researchers then incorporated flood maps from FEMA and the U.S. Army
    Corps of Engineers along with data from the USDA, including crop type,
    yields, costs and price, planting frequency, and a corn suitability
    rating, which indexes a farmland's productivity.

    "We have taken all this information from federal agencies and
    have tailored it to create a more dynamic picture about the current agricultural flood risk in Iowa," says Ibrahim Demir, associate professor
    in civil and environmental engineering at Iowa and a study co-author.

    Iowa has seen its fair share of flooding. Since 1953, 29 flood-related
    disaster declarations have been issued for the state, according to
    FEMA. Major, if not historic, flooding has occurred four times over the
    past decade and a half alone -- in 2008, 2014, 2016, and 2019.

    The new maps seek to address objectively the flood stress points,
    by showing farmland that is prone to chronic flooding and has low
    productivity yields compared to other areas.



    ==========================================================================
    "We highlight the $230 million in average annualized losses to show that
    there is farmland that is frequently exposed to floods and has a low
    corn suitability rating -- why not consider changing its use?" Yildirim
    says. "That, of course, would require further conversations, but you
    have to look at the costs and benefits of continuing to farm that land." Policymakers also can entertain what to do with farmland that is prone
    to regular flooding but is highly productive. That is especially true
    for cropland in the West Nishnabotna region in southwest Iowa, the
    researchers found.

    "The West Nishnabotna is a region that has a high corn suitability
    rating but also is exposed to regular flooding," Yildirim says. "So, it
    might need extra protection from flooding to maintain food production,
    such as building a levee, for example." The researchers found rotating
    crops had a negligible impact on flood losses.

    The study, "Agricultural flood vulnerability assessment and risk
    quantification in Iowa," was published online Feb. 26 in the journal
    Science of the Total Environment.

    The University of Iowa and the Iowa Water Center funded the research.


    ========================================================================== Story Source: Materials provided by University_of_Iowa. Original written
    by Richard C. Lewis.

    Note: Content may be edited for style and length.


    ========================================================================== Related Multimedia:
    * Maps_showing_flood_risk_in_Iowa ========================================================================== Journal Reference:
    1. Enes Yildirim, Ibrahim Demir. Agricultural flood vulnerability
    assessment
    and risk quantification in Iowa. Science of The Total Environment,
    2022; 826: 154165 DOI: 10.1016/j.scitotenv.2022.154165 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/04/220406101626.htm

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