6a. The above example shows nice, neat data from a problem in the textbook. In reality, data aren't so perfectly neat. The table below shows isotherm data (published) for phosphate adsorption on ferrihydrite, a poorly crystalline Fe-hydroxide mineral. Determine if the adsorption behavior conforms to linear, Langmuir or Freundlich models and determine the appropriate adsorption parameters for the best-fit model. Please show any calculations and plots used to determine the best-fit model. Produce a final plot (with labeled axes!) showing the final nonlinearized isotherm data and model fit. \$Adsorntion data for nhosnhate on ferrihvdrite at nH6 and 29C (HINT: When fitting linearized data, eliminate data with very low dissolved P concentrations if they produce inordinately high (or undefined) results because you are dividing by an extremely small number (or zero). You have to be the judge. This action is not "throwing out data" because you are plotting the actual data. By eliminating the mathematical artifacts in the model equation, you provide a better model fit to the key part of the data at higher adsorbed P concentrations.) b. Why might the isotherm data for 2,4,5T and phosphate conform to different models. c. In part a, you should have determined a maximum adsorption capacity, qw0x, for phosphate adsorption to ferrihydrite. Consider a very weathered soil with 1% ferrihydrite by weight and 99% unreactive quartz sand (the ferrihydrite coats the quartz grains). Using the derived qmax value, what is the maximum amount of P that will be retained in the top 10cm of a 1 ha field? Assume solid-phase density of 2.65g/cm3 and a porosity of 0.3 (i.e. 0.7cm3 of solid to 1cm3 of bulk soil). d. It is common to add P to agricultural soils every year to maintain or increase fertility. What are some consequences - potentially positive, negative, and/or neutral - for once the maximum P retention is achieved