Areas Sandra Guzman is Knowledgeable in:
Water management, irrigation, hydrology modeling
Sandra Guzman's Problem Solving Skills:
- Agricultural engineering, Irrigation, water management, watershed modeling, water productivity
Sandra Guzman's Problem Solving Experience:
- I Linked the crop model DSSAT with a Support Vector Regression (SVR) model to assess the impacts of various irrigation volumes in the variation of daily groundwater levels for soybean crops.
I Implemented the Non-Autoregressive with Exogenous Inputs (NARX) Artificial Neural Networks (ANN) and SVR to forecast daily groundwater levels at local scale, and generated decision support tools for crop production
I Collaborated in water quality sampling and laboratory analysis for the study of nutrient loads from irrigation and BMP’s in the Mississippi Delta region
I Established the pressure transducer runoff monitoring program at the Green Infrastructure Research Area (GIRA), Mississippi State university.
I Evaluated green coverages to improve environmental conditions in agricultural drainage systems
I developed maps of hydrologic conditions for the assessment of environmental impacts in the design of oil pipelines