https://commons.ru.ac.za/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://commons.ru.ac.za/vital/access/manager/Repository/vital:42948 Wed 12 May 2021 15:07:02 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42809 Wed 12 May 2021 14:49:21 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42934 0.5). The model also performed generally well compared to established models that had been previously applied in some of the study catchments. The highest sediment yields recorded per country were 153 t km-2 year-1 (Tsitsa River; South Africa), 90 t km-2 year-1 (Odzi River; Zimbabwe) and 340 t km-2 year-1 (Rio Tanama; Puerto Rico). The results also displayed consistent underestimations of peak sediment yield events, partly attributed to sediment emanating from gullies that are not explicitly accounted for in the WQSED model structure. Furthermore, the calibration process revealed that the WQSED storage model is generally challenging to calibrate. An alternative simpler version of the storage model was easier to calibrate, but the model may still be challenging to apply to catchments where calibration data are not available. The additional evaluation of the WQSED simulated sediment yield rates against observed reservoir sediment rates showed a broad range of differences between the simulated and observed sediment yield rates. Differences between WQSED simulated sediment and observed reservoir sediment ranges from a low of 30% to a high of > 40 times. The large differences were partly attributed to WQSED being limited to simulating suspended sediment from sheet and rill processes, whereas reservoir sediment is generated from more sources that include bedload, channel and gully processes. Nevertheless, the model simulations replicated some of the regional sediment yield patterns and are assumed to represent sheet and rill contributions to reservoir sediment in selected catchments. The outcome of this study is an improved WQSED model that has successfully undergone preliminary testing and evaluation. Therefore, the model is sufficiently complete to be used by independent researchers and water resources managers to simulate erosion and sediment transport. However, the model is best applicable to areas where some observed data or regional information are available to calibrate the storage components and constrain model outputs. The report on potential MUSLE scale dependencies is relevant globally to all studies applying the MUSLE model and, therefore, can improve MUSLE application in future studies. The WQSED model offers a relatively simple, effective and applicable tool that is set to provide information to enhance catchment, land and water resources management in catchments of Africa.]]> Wed 12 May 2021 14:47:01 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42897 Wed 12 May 2021 13:50:47 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42943 Wed 12 May 2021 13:47:23 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42951 Wed 12 May 2021 13:46:56 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42939 Wed 12 Jul 2023 08:28:50 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42920 Tue 25 May 2021 11:08:42 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42891 Tue 14 Feb 2023 07:55:10 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42776 Thu 27 May 2021 15:12:47 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42921 Thu 20 May 2021 16:09:53 SAST ]]> https://commons.ru.ac.za/vital/access/manager/Repository/vital:42932 Thu 20 May 2021 09:23:52 SAST ]]>