GoingToMeet

The HydroPredict’2008 conference encourages those concerned with data collection, theory and conceptual models to work together to improve model predictions. It is proposed that this goal can be best served when data are collected in a hypothesis-testing framework.

Predictions produced using mathematical models have become a critical part of water resources management as hydrological and ecological systems have been increasingly affected by human demands. Commonly, we attempt to make predictions to address question such as these:
# When, where, and how much surface water can be taken from a river (directly or by extracting groundwater that serves as base flow) without causing unacceptable damage to wetland, riverine, estuarine, and terrestrial ecosystems?
# What strategies can be employed to extract groundwater without causing saltwater intrusion?
# What are the hydrological conditions required for optimal functioning of a wetland ecosystem – including hydroperiod, nutrient, and salinity regimes?
# Will global climate change diminish water supply that is currently essential to producing food in certain regions?