This research aims to explore sediment transport behavior and accumulation caused by run-of-river weirs in order to examine there feasibility for sustainable sediment mining purposes in the White Volta River. Weirs are used to raise water levels up-stream to increase water levels and storage, but their is little information regarding sediment continuity and transport over a weir. Observational research studies suggest that weirs do not have a 100% trapping efficiency, however, due to the reduced flows this study hypothesizes that sediment will settle upstream of the structure. Based on data from the White Volta River, a 1D Flume model is created using HEC-RAS which tests several sediment transport functions and bed roughness parameters with constant bed slope, suspended and bed-load gradation in order to estimate sediment settling. The results suggest that during peak discharge events settled sediments are flushed up and over the weir. As peak discharges decrease, settling occurs based on particle diameter causing increased sediment  storage up-stream until the next flushing event. The volume of sediment stored ramp is highly variable with respect to bed roughness and the used transport function, suggesting river calibration is required for concrete estimates. Based on the model results, approximately 1 − 2% of the White Volta’s yearly suspended load settles in-front of the structure before the discharge flushing event.

The implementation of new agricultural technologies is considered a key component of Malawi’s agricul- tural development strategy. However, successful technology adoption has proven to be difficult, affecting both farmers and small businesses introducing the technology. With a primary focus on farmers interested in adopting the technology, common factors influencing farmers’ adoption habits are determined by con- ducting interviews and observations. Survey results indicate that from a farmers perspective; market ac- cess, information access, education, and affordability are key factors helping facilitate adoption, while lack of these factors hinder adoption. Insight into these factors could provide business knowledge on how to better facilitate technology adoption. For this purpose, literature factors affecting a SME’s success are compared with an active agricultural technology company. These factors include experience, communication, man- agement and technology performance. Using both farmers needs and business developmental factors, this study hopes to provide insights for new companies starting a business in a developing country.