Problem Solver

Sandra Guzman

Sandra Guzman

Areas Sandra Guzman is Knowledgeable in:

Water management, irrigation, hydrology modeling

Sandra Guzman's Problem Solving Skills:

  1. Agricultural engineering, Irrigation, water management, watershed modeling, water productivity

Sandra Guzman's Problem Solving Experience:

  1. 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