Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Water Resources Policy Development Using Hydrologic And Systems Dynamics Modeling – A Case Study For East Africa, Lauren Gies, Buyung Agusdinata, Venkatesh Merwade
Water Resources Policy Development Using Hydrologic And Systems Dynamics Modeling – A Case Study For East Africa, Lauren Gies, Buyung Agusdinata, Venkatesh Merwade
International Conference on Hydroinformatics
Drought is a natural disaster that affects millions of people across the globe. Lack of rainfall reduces crop yields and livestock productivity and in turn, food availability and income. In developing countries, these effects are even more detrimental. As droughts become more frequent, adaptation is a fundamental concern for countries and their policy makers. Hydrologic and system dynamics models were developed for a region in East Africa, focused on the Horn of Africa (ie. a region bordering Kenya, Somalia, and Ethiopia), an area well-known for frequent droughts due to unpredictable rainfall and high temperatures. The models simulate the interdependencies between …
Efficient Methods For Optimizing Hydropower Under Uncertainty, Timothy Michael Magee Jr., Edith A. Zagona, Mitch Clement
Efficient Methods For Optimizing Hydropower Under Uncertainty, Timothy Michael Magee Jr., Edith A. Zagona, Mitch Clement
International Conference on Hydroinformatics
There are several sources of uncertainty in scheduling hydropower: reservoir inflows, power generation, demand and value, and the value of water remaining in storage at the end of the planning horizon. RiverWare is an object oriented modeling tool widely used for the operations and planning of large and small systems of reservoirs. Typically, short term optimization of hydropower is complicated by the need to meet a wide variety of prioritized non-power constraints and RiverWare is designed to satisfy these constraints to the extent possible. We present four different approaches that use deterministic methods combined with uncertainty models to efficiently optimize …