Source: COLORADO STATE UNIVERSITY submitted to
SCIENCE AND TECHNOLOGY TRANSFER FOR THE WIND EROSION PREDICTION SYSTEM (WEPS)
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
NEW
Funding Source
Reporting Frequency
Annual
Accession No.
0428301
Grant No.
(N/A)
Project No.
3012-61660-008-01S
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
May 1, 2015
Project End Date
Jul 31, 2016
Grant Year
(N/A)
Project Director
TATARKO J
Recipient Organization
COLORADO STATE UNIVERSITY
(N/A)
FORT COLLINS,CO 80523
Performing Department
SOIL & CROP SCIENCES
Non Technical Summary
(N/A)
Animal Health Component
(N/A)
Research Effort Categories
Basic
20%
Applied
60%
Developmental
20%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1110110205040%
1210430208040%
2050799310020%
Goals / Objectives
1) Perform necessary sampling, data analysis and reporting of results for defining organic soil attributes from NRCS soil survey to be used as input into WEPS. 2) Review and update WEPS Science model technical documentation, update the WEPS User Manual and training exercises to align with current WEPS interface, databases, science model and reporting tools. 3) Develop, test and program as necessary to include sub-region functionality in WEPS science model, interface, and reporting for NRCS use in conservation planning.
Project Methods
1) Complete the temporal change study based on completed organic and muck soil sampling and sample results to analyze and report the results. Continue a rainfall simulation study on organic soils to document soil crusting and erodibility properties, review hydrology literature for simulating organic soils in WEPS. 2) Update the technical research documentation and training materials for the current NRCS release of WEPS. Update the WEPS user manual and training exercises to accurately reflect the current science and management of wind erosion. 3) Evaluate program, and test sub-region approach for modeling multiple soils, barriers, crop management systems for improved simulation of within-field variability.