This paper presents a multiple-pattern parameter identification and uncertainty analysis approach for robust water quality modeling using a neural network (NN) embedded genetic algorithm (GA). The modeling approach uses an adaptive NN-GA framework to inversely solve the governing equations in a water quality model for multiple parameter patterns. along with an alternating fitness method to maintain solution diversity.

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In 2007, Governor O'Malley asked a scientific team, chaired by UMCES President Dr. Donald F. Boesch, to assess the impacts of climate change in Maryland. The key points from this assessment are summarized in this poster created by IAN staff.

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Action is needed now to stem not only the drivers of climate change but also to prepare for the inevitable consequences. With over 3,000 miles of coastline, Maryland is extremely vulnerable to the impacts of climate change. Historic tide-gauge records reveal that sea levels along Maryland's extensive coastline have risen approximately one foot over the past one hundred years. This relative sea level rise is due to a combination of global sea-level rise and localized land subsidence.

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This is Chapter 5 of the Climate Action Plan, Governor Martin O'Malley's appointed Maryland Commission on Climate Change report. It makes recommendations to state lawmakers and policy makers to mitigate the effects of sea-level rise and storm by taking action and committing resources to protect Maryland's future economic well-being, environmental heritage, and public safety.

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This is Chapter 2 of the Climate Action Plan, Governor Martin O'Malley's appointed Maryland Commission on Climate Change report on the impacts and recommended actions to protect Maryland's property and people from the effects of climate change.

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Harmful algal blooms (HABs) are growing in frequency around the world and their effects are being recognized by ecosystem managers, scientists, and the public alike.

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