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Analysis Of Lake Okeechobee Water Quality Model

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Because all water body systems are different, the specific characteristics must be accounted for in creating a proper TMDL for each water body. In some cases, to account for both variability and uncertainty in nonpoint source pollution, one dimensional water quality model was integrated with Bayesian statistics and load duration curve methods to develop a variable total maximum daily load for total nitrogen (Chen 2012). Using an integrated model such as this allows for the variability and uncertainty of nonpoint source pollution to be better estimated. These estimates can then be translated into what is a tolerable amount of nutrients to be added to the water body without causing further harm, or in some cases in order to reverse the negative impacts of what has already been loaded in to the water body. In the case of Lake Okeechobee, different models were integrated to determine nutrient loads. Two separate models, the Internal Loading Phosphorus Model (ILPM) and the Lake Okeechobee Water Quality Model (LOWQM) were used to predict outcomes of 3 alternatives to reduce internal sediment loads: (1) the baseline simulation, which reduced external phosphorus loads over time to meet the total maximum daily load of 140 metric tons to the lake by 2015; (2) the baseline plus a large-scale chemical treatment, which used alum to bind sediment Phosphorus; and (3) the baseline plus a large dredging project, which removed Phosphorus-laden sediments (James 2011). Because Lake Okeechobee

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