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DEVELOPMENT OF A CONTAMINANT TRANSPORT AND FATE MASS BALANCE CALIBRATION MODEL FOR LAKE MICHIGAN MASS BALANCE PROJECT (LMMBP)
Citation:
Zhang, X., W. L. Richardson, M. Settles, AND M. L. Velleux. DEVELOPMENT OF A CONTAMINANT TRANSPORT AND FATE MASS BALANCE CALIBRATION MODEL FOR LAKE MICHIGAN MASS BALANCE PROJECT (LMMBP). Presented at International Association for Great Lakes Research 2000 Conference, Great Lakes, Great Rivers, A Vision for Tomorrow, Cornwall, Ontario, Canada, May 21-26, 2000.
Description:
Lake Michigan Mass Balance Project (LMMBP) was initiated to directly support the development of a lakewide management plan (LaMP) for Lake Michigan. A mass balance modeling approach is proposed for the project to addrss the realtionship between sources of toxic chemicals and their concentrations in air, water, sediment, and biota. PCBs are one of the four priority toxics selected as target contaminants in LMMBP. As one of the series submodels in the LMMBP modeling framework, the contaminant transport and fate model (LMCTF model - Lake Michigan Contaminant Transport and Fate model) has been developed at two levels of spatial resolution (i.e., Level 2 and Level 3) for simulating toxic chemicals (PCBs) in both water and sediments of the lake. The Level 2 LMCTF model is based on a coupled mass balance of organic carbon sorbents and toxic chemical dynamics and a modified version of IPX model developed from the general water quality model WASP4 during the Green Bay Mass Balance Study period Two of the main objectives of developing the Level 2 contaminant transport and fate model are 1) to calibrate and confirm the mass balance model for PCBs using LMMBP project generated data and 2) to apply the model for long-term forecase of the contaminant concentrations in water and sediment throughout Lake Michigan under different forcing functions and loading scenarios. This paper will present a conceptual framework for organic carbon sorbents and toxic chemical dynamics developed for the LMCTF model, major modifications over the previous water quality models, and some preliminary results.