Because these tests must be generated repeatedly, retrieving data from an actual field would be uneconomical and inefficient. This paper will present the design and implementation of a cheap model of the relationship between soil and hydrological processes in order to generate data similar to what would be gathered from an actual field site. These energy fluxes constitute the limiting factors for the hydrologic cycle. By observing these changes under simulated conditions, one can predict the outcome of land stresses as a result of atmospheric weather conditions. Determination of iron concentration in a particular region is important for many reasons.
Iron helps regulate the carbon and oxygen cycle of the Earth.
Understanding the oxidation state of iron in a region gives us an indication of water flow in that area. Manganese is often associated with iron, because manganese substitutes for iron in many mineral structures. Iron concentration is normally determined by soil color. However, manganese also contributes to soil color, which can mask the amount of iron in the soil. Currently, the determination of iron and manganese concentrations in an area has been done mainly through field sampling, which is often tedious and time consuming.