1a. Objectives (from AD-416):
1. Incorporate the USDA-EMFSL-developed microbial simulator of transport with runoff and infiltration into watershed-scale water quality models SWAT and HSPF as an option for microbial release and possible overland fate and transport. 2. Support the construction and population of microbial database by consolidation the relevant data in formats ready for automating process of populating input files of modeling components with consistent microbial properties for appropriate environmental media. 3. Incorporate the USDA-ARS sediment-associated microbial release and settling in HSPF and SWAT microbial routing, and ensure that USDA-ARS in-stream sediment-associated microbial release and settling module is consistent with outside flow models linked to SWAT and HSPF. 4. Support the data collection and model application at the Manitiwoc River Basin as the testbed for developing integrated technology of microbial water quality assessment and forecast.
1b. Approach (from AD-416):
ARS will develop novel generic manure-borne pathogen fate and transport models at field and watershed scale. These models will be tested jointly by both ARS and the Cooperator. Data for testing will be provided by the Cooperator. ARS will provide expertise and guidance on parameter selection in model applications, and will transform model computer codes to make them compatible to decision support tools within the modeling framework used by the Cooperator. The Cooperator will evaluate models for use in regulatory practices.
3. Progress Report:
With EPA project scientists, work was implemented on global sensitivity analysis to rank controls of manure-borne coliform fate and transport using the Kineros2/STWIR model. Global sensitivity analysis showed that the ratio of fecal indicator bacteria (FIB) transported from the field vs the number applied was most sensitive to rainfall intensity, rainfall duration, and initial saturation of soil. The sensitivity to soil hydraulic conductivity, soil water retention parameter, and manure kinetics rate were much lower. Therefore, one can use approximate values of soil hydraulic conductivity based on the soil name from soil maps; approximate manure release rate based on the animal type and manure application method; weather data; and a simple crop model or remote sensing data, to obtain a usable estimate of the loss of bacteria from fields with: runoff. The first draft of a manuscript has been prepared. We worked on calibration of the KINEROS2/STWIR model with a unique data set from the ARS Watkinsville, GA location. The first draft of a manuscript has been prepared. We modeled microorganism die-off in soils with and without plowed-in manure and organic waste. The results indicate that several classes of available datasets, such as data from solid waste application experiments and data from experiments with soil inoculation without organic waste added, cannot be used to parameterize models of manure-borne FIB fate and transport. We initiated the development of dictionaries and metadata to integrate the watershed (HSPF) and the lake (FVCOM) bacterial water quality models at the Manitowoc site. Teleconferences with the contractor have been held and systematic data delivery initisted.