Problemshed or Watershed? Participatory Modeling towards IWRM in North Ghana

Participatory Multi-agent System Modeling for Collective Watershed Management in Northern Thailand : a Companion Modeling Method

The companion modeling approach was used to facilitate collective learning process of key stakeholders of a highland watershed in northern Thailand, where a socialagroecosystem is located within the multiple political layers of resource uses and management. After analysis of the system, role-playing games (RPG) were conducted with stakeholders using simplified rules and a virtual environment. P...

Surface Runoff in Watershed Modeling—Turbulent or Laminar Flows?

Determination of overland sheet flow depths, velocities and celerities across the hillslope in watershed modeling is important towards estimation of surface storage, travel times to streams and soil detachment rates. It requires careful characterization of the flow processes. Similarly, determination of the temporal variation of hillslope-riparian-stream hydrologic connectivity requires estimat...

Forecasting climate change impacts on watershed-based ecosystem services in Hawaii: A participatory modeling approach

Participatory modeling and the dilemma of diffuse nitrogen management in a residential watershed

Whereas point sources of nutrients are well understood and controllable, there is growing concern about non-point sources, especially those that are related to individual property owners. Modeling tools were used to analyze and visualize the fate of nitrogen from three anthropogenic sources: septic tanks, atmospheric deposition, and fertilizer. Our results suggest that septic tanks may be a les...

Participatory Multi-agent Systems Modeling for Collective Watershed Management: The Use of Role Playing Game

Scarce farm land and water resources in the highland watersheds of northern Thailand coupled with multiple users have led to conflicts among stakeholders who play important roles in the system dynamics. Integrating companion modeling and multi-agent systems (MAS) can facilitate adaptive learning processes to result in a decentralized collective management strategy that meets the balanced needs ...