Silage Runoff Characterization

Animal Manure Management November 07, 2013 Print Friendly and PDF

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Abstract

Silage leachate is a high strength waste which contributes to surface and groundwater contamination of various pollutants from runoff, direct leaching through concrete storage structures, and infiltration of runoff. Feed storage is required for the majority of dairy operations in the country (which are expanding in size and fed storage requirements) leading to widespread potential contamination. Limited data on silage leachate quality and treatment has made management and regulation based solely on observation. This project investigated three bunker silage storage sites to assess the water quality characteristics of silage leachate and runoff from various feed sources and surrounding environmental factors. Surface samples were collected from feed storage structures and analyzed for numerous water quality parameters. Using collected hydrologic data, contaminant loading was analyzed for various storm events and assessed for first flush effects and potential to impact handling and treatment designs. Determination of first flush provides essential data for separation of waste streams (high and low strength) to ease management in terms of operation and cost, reduce loading to treatment systems, and reducing the overall environmental impact.

Why Is It Important to Characterize Silage Leachate?

Silage Runoff Samples from an October Rain Event

Silage runoff, or the flow of surface excess water over an area containing silage or silage leachate, contains nutrients harmful to watersheds. Nutrient concentrations within silage runoff are variable and are dependent on event size, seasonality, bunker condition, and concentration of silage. Knowledge of nutrient loading thoughout a storm can benefit silage runoff storage and treatment standards.

What Did We Do?

Three horizontal bunkers in south central Wisconsin were anzlyzed over the seasons of fall, spring and summer.  Two of the bunkers sampled were designed with subsurface leachate collection.  Runoff was collected using ISCO automated samplers and samples were triggered by flow rate. Water quality analysis was completed on the campus of University of Wisconsin – Madison and alkalinity, NH3, BOD5, COD, NO2, NO3, ortho-p, pH, TKN, TP and TS were analyzed. Thirty-five storms in total were analyzed ranging from 0.03 – 1.74 inches.

Horizontal Dairy Bunker During a Storm Event

What Have We Learned?

Seasonality can impact the nutrient concentrations within silage runoff.  Normalized cumulative pollution load curves illustrate moderate first flush in the fall and a moderate delayed load curve in the summer.

Future Plans

Correlating silage runoff concentrations with bunker conditions such as date, amount filled, moisture content, and amount of litter present on pad could help explain seasonal variability.  Collection of future storms could aid in explaining variances and facilitate modeling.

Authors

Michael Holly, Master’s Candidate Biological System Engineering, University of Wisconsin - Madison, maholly@wisc.edu

Dr. Rebecca Larson, Assistant Professor and Extension Specialist, University of Wisconsin - Madison

Acknowledgements

Zach Zopp, Lab and Field Tech

Shayne Havlovitz, Undergraduate Research Assistant

 

The authors are solely responsible for the content of these proceedings. The technical information does not necessarily reflect the official position of the sponsoring agencies or institutions represented by planning committee members, and inclusion and distribution herein does not constitute an endorsement of views expressed by the same. Printed materials included herein are not refereed publications. Citations should appear as follows. EXAMPLE: Authors. 2013. Title of presentation. Waste to Worth: Spreading Science and Solutions. Denver, CO. April 1-5, 2013. URL of this page. Accessed on: today’s date.

Silage Runoff Characterization from LPE Learning Center

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USDA / NIFA

This work is supported by the USDA National Institute of Food and Agriculture, New Technologies for Ag Extension project.