Thesis advisor: Noah Snyder / Rivers impounded by dams experience morphological changes that provide an opportunity to calculate reservoir sedimentation rates and relate them to watershed land-use history. In April 2023, 10 sediment cores were collected from 5 locations in Lake Seminole, Georgia. Analysis of loss on ignition (LOI), bulk density, elemental concentrations, and short-lived radionuclide geochronology aided in completing the following research objectives: correlating short and long sediment cores, determining whether the pre-dam sediment surface was reached at each location, measuring the sedimentation rates in the Chattahoochee and Flint arms of the reservoir, and evaluating the characteristics of each core in the context of its location and the history of Lake Seminole. This research explores how differences in river management, land use, and upstream geology in the watersheds have contributed to sedimentation differences in the Chattahoochee and Flint Rivers. / Thesis (BS) — Boston College, 2024. / Submitted to: Boston College. Morrissey School of Arts and Sciences. / Discipline: Earth and Environmental Sciences. / Discipline: Departmental Honors.

Thesis (MScEng (Civil Engineering))--University of Stellenbosch, 2006. / In many part of the world, but especially in Africa, land degradation leads to severe soil erosion and high sediment yields. Mathematical models and empirical methods can be used to simulate the sediment yields. In many cases spatial and temporal data are however limited in the large catchments often found in Africa. A model should be able to simulate the long-term hydrology and sediment yields for sub-catchments and should be physically based as far as possible. In this thesis several models were evaluated and the agrohydrological model of the University of Kwa- Zulu-Natal (ACRU) was applied on two large catchments with limited data in Kenya. The key aim of the thesis was to assess the applicability of the ACRU modelling system for sediment yield prediction in large catchments under conditions of limited data availability. Two catchments in Kenya which drain into Lake Victoria were selected for this research: Nyando (3562 km2) and Nzoia River (13692 km2). Lake Victoria, with a surface area of 68000 km2 and an adjoining catchment of around 184200 km2, is the second largest fresh water lake in the world and the largest in the tropics. The Lake Victoria Basin area is increasingly being used for domestic, agricultural and industrial purposes by the three riparian countries Kenya, Tanzania and Uganda. About 21 million people (year 2000) rely primarily on subsistence agricultural and pastoral production for their livelihoods. But pervasive poverty has hindered sustainable use of the land resources and there has already been considerable land degradation. There has also been expansion of the increasing on-site erosion (overland flow) and reducing buffering capacity of the natural vegetation in wetlands and in the riparian zones (Hansen, Walsh, 2000). A regional assessment identified the Nyando River Basin and Nzoia River Basin as major sources of sediment flow into Lake Victoria on the Kenyan side of the Lake. Accelerated run off sheet erosion over much of the Nyando catchment area has led to severe rill, gully and stream bank erosion in lower parts of the river basin (Swallow, 2000). The ACRU model is a hydrological model using daily time steps with the Modified Universal Soil Loss Equation (MUSLE, Williams, 1975) module to simulate soil erosion. The MUSLE sediment yield module uses factors that characterize physical conditions on the surface of a catchment as input information. Data required for the model include: sub-catchment daily rainfall, historical flow records, general catchment topographical information, meteorological information, land use and cover, soil characteristics, sediment yield data, etc. The model used daily time steps for a 55 years record for the period 1950 to 2004. During calibration it was found that the sediment yield is overestimated which was expected since the model is a soil erosion model (based on MUSLE). The model was calibrated in each catchment against observed sediment load data, but this data were limited. Verification of the model was carried out by using satellite images and independent sediment load data when available. Scenario analysis was carried out by changing land use in the model to investigate how soil erosion could be reduced. Grassland to replace subsistence farming was found most effective, but irrigated sugarcane was also investigated. The model was found to be very effective in indicating which sub-catchments contribute most of the sediment yield. Under limiting data conditions it was found that it is very important to calibrate the model against field data. The most sensitive parameters affecting the sediment yield were found to be: a) Hydrological: • Daily rainfall spatial distribution of rain gauge • Time of concentration • Mean annual precipitation • Minimum and maximum temperature • Monthly evaporation b) Soil and catchment characteristics: • Number of sub-catchments making up catchment in model • Catchment slope and slope length, steepness factor • Land cover • Crop coefficient • Soil texture class and depths • Soil erodibility factor

Thesis (MScEng (Civil Engineering)--University of Stellenbosch, 2009. / ENGLISH ABSTRACT: A study of the state of reservoir sedimentation in South Africa based on reservoir sediment deposit data, has shown that a considerable number of reservoirs have serious sedimentation problems. The analysis of the reservoir sediment deposit data showed that almost 25% of the total number of reservoirs have lost between 10 to 30% of their original storage capacity. The average storage loss due to sedimentation in South African reservoirs is approximately 0.3% per year while the average annual storage loss for all the reservoirs in the world is 0.8%. The aim of this research was to develop sediment yield prediction methods based on analytical approaches and mathematical modelling. The sediment yield prediction methods can be used in planning and management of water resources particularly in reservoir sedimentation control. The catchment erosion and sediment yield modelling methods can be applied in temporal and spatial analysis of sediment yields which results are essential for detailed design of water resources, particularly in the identification of critical erosion areas, sediment sources and formulation of catchment management strategies. Current analytical methods for the prediction of sediment yield have been reviewed. Nine sediment yield regions have been demarcated based on the observed sediment yields and catchment characteristics. Empirical and probabilistic approaches were investigated. The probabilistic approach is based on analysis of the observed sediment yields that were calculated from reservoir sediment deposit, river suspended sediment sampling data and soil erodibility data. The empirical equations have been derived from regression analysis of the variables that were envisaged to have a significant effect on erosion and sediment yields in South Africa. Empirical equations have been developed and shown to have accurate and reliable predictive capability in six of the nine regions. The probabilistic approach has been recommended for the prediction of sediment yields in the remaining three regions where reliable regression equations could not be derived. The predictive accuracy of both the probabilistic and empirical approaches was checked and verified using the discrepancy ratio and graphs of the observed and calculated data. While the analytical methods are needed to predict the sediment yield for the whole catchment, mathematical modelling to predict sediment yields is applied for more detailed analysis of sediment yield within the catchment. An evaluation of available catchment sediment yield mathematical modelling systems was carried out. The main criteria for the choice of a numerical model to be adopted for detailed evaluation was based on the following considerations: the model’s capabilities, user requirements and its application. The SHETRAN model (Ewen et al., 2000) was therefore specifically chosen because of its ability to simulate relatively larger catchment areas (it can handle catchment scales from less than 1km2 to 2500km2), its ability to simulate erosion in channels, gullies and landslides, its applicability to a wide range of land-use types and ability to simulate land use changes. Another model, ACRU (Smithers et al., 2002) was also reviewed. The aim of the model evaluation was to provide a conceptual understanding of catchment sediment yield modelling processes comprising model set up, calibration, validation and simulation. The detailed evaluation of the SHETRAN model was done through a case study of Glenmaggie Dam in Australia. The flow was calibrated and validated using data from 1975 to 1984, and 1996 to 2006 respectively. The results for both the calibration and validation were reasonable and reliable. The sediment load was validated against turbidity derived sediment load data from 1996 to 2006. The model was used to identify sources of sediment and areas of higher sediment yield. The land use of a selected sub-catchment was altered to analyse the impact of land use and vegetative cover on the sediment yield. Based on the results, the SHETRAN model was confirmed to be a reliable model for catchment sediment yield modelling including simulation of different land uses. / AFRIKAANSE OPSOMMING: ‘n Studie van die stand van damtoeslikking in Suid-Afrika toon dat daar ernstige toeslikkingsprobleme by baie reservoirs bestaan. ’n Ontleding van die toeslikkingsyfers gegrond op damkomopmetings toon dat omtrent 25% van die totale getal reservoirs tussen 10 en 30% van hulle oorspronklike opgaarvermoë verloor het. Die gemiddelde tempo van damtoeslikking in Suid-Afrika is 0.3%/jaar, wat laer is as die wêreld gemiddeld van 0.8%/jaar. Die oogmerk met hierdie navorsing was om sedimentlewering voorspellingsmetodes te ontwikkel deur gebruik te maak van analitiese metodes en wiskundige modellering. Die sedimentlewering voorspellingsmetodes kan gebruik word vir die beplanning en bestuur van waterbronne en veral vir damtoeslikking beheer. Die opvangsgebied erosie en die sedimentlewering modelleringsmetodes kan toegepas word in tydveranderlike en ruimtelike ontleding van sedimentlewering. Hierdie inligting word benodig vir die detail ontwerp van waterhulpbronne en veral vir die identifisering van kritiese erosiegebiede, bronne van sediment en die formulering van opvangsgebied-bestuur strategië. ‘n Literatuuroorsig oor die huidige metodes vir die voorspelling van erosie en sedimentlewering is gedoen. Nege sedimentasie streke is afgebaken in Suid-Afrika, gegrond op waargenome damtoeslikkingsdata en opvangsgebied-eienskappe. Proefondervindelike en waarskynlikheidsbenaderinge is ondersoek. Die waarskynlikheidsbenadering is gegrond op die ontleding van waargenome damtoeslikking wat bereken is uit reservoir opmeting data en rivier gesuspendeerde sediment data, asook data oor gronderosie. Die proefondervindelike metode se vergelykings is afgelei vanuit regressie ontleding van die veranderlikes wat ‘n belangrike invloed het op die erosie en sedimentlewering in Suid-Afrika. Daar is bevestig dat die ontwikkelde proefondervindelike (empiriese) vergelykings ‘n akkurate en betroubare voorspellingsvermoë in ses van die nege streke het. Die waarskynlikheidsbenadering is aanbeveel vir die voorspelling van sedimentlewering in die ander drie streke, waar betroubare regressie vergelykings nie afgelei kon word nie. Die voorspellingsakkuraatheid van albei metodes is nagegaan en bevestig deur gebruik te maak van die teenstrydigheidsverhouding en grafieke van die waargenome en berekende data. Analitiese metodes van sedimentleweringsvoorspelling is nodig vir ‘n volle opvangsgebied, terwyl wiskundige modellering om sedimentlewerings te voorspel gebruik kan word om ‘n meer in diepte ontleding van die sedimentlewering binne ‘n opvanggebied te doen. ‘n Evaluasie van beskikbare wiskundige modelle wat opvangsgebied sedimentlewering kan voorspel, is gedoen. Die hoofkriteria vir die keuse van ‘n model vir gebruik by gedetailleerde ontleding is gegrond op die volgende: die vermoëns van die model, wat verbruikers benodig en die aanwending van die model. Die SHETRAN model (Ewen et al., 2000) is spesifiek gekies weens sy vermoë om relatief groter opvangsgebiede te simuleer (dit kan opvangsgebiede van 1km2 tot 2500km2 wees) asook om erosie in kanale, dongas en grondverskuiwing simuleer. Dit kan toegepas word op ‘n wye reeks grondtipes en kan ook die gevolge simuleer as die gebruik van die grond verander. ‘n Ander model, ACRU (Smithers et al., 2002) is ook ondersoek. Die doel van die modelevaluering was om ‘n konseptuele begrip te kry van sedimentlewering modelleringsprosesse wat die opstelling, kalibrasie, toetsing en simulasies insluit. Die volledige evaluasie van SHETRAN is gedoen deur middel van ‘n gevalle-studie van die Glenmaggiedam in Australia. Die riviervloei is gekalibreer en getoets deur gebruik te maak van data wat strek van 1975 tot 1984, en van 1996 tot 2006 onderskeidelik. Die resultate van beide die kalibrasie en die toetswas redelik en betroubaar. Die sedimentlading is gekalibreer teen velddata van 1996 tot 2006. Die model is gebruik om bronne van sediment te identifiseer, asook gebiede met ‘n hoër sedimentlewering. Die gebruik van die grond op ‘n gekose sub-opvangsgebied is verander om die impak van grondgebruik en plantbedekking op sedimentlewering te ontleed. Die resultate bewys dat die SHETRAN model ‘n betroubare model is vir groot opvangsgebied sedimentlewering modellering, asook vir die simulasie van verskillende grondgebruike.

Wave heights and periods of surface waves in the Baltic Sea have been modelled for a two-year period (1999-2000) with the wave model Hypas on an 11x11-km grid scale. There is a clear seasonal variation with higher waves during winter and lower during summer. This is mainly a reflection of the wind climate in the area where the winters are windier than the summers. The largest waves are found in the Skagerrak and over the deeper, eastern areas in the Baltic Proper. In the Baltic Sea, the surface waves influence the bottom sediment by initiating resuspension down to 80 m depths. This process is dependent not only on the waves but also on the varying grain size diameters. Fine and medium sand resuspend more often than other sediment types, and these sediments cover together about 25% of the Baltic Proper area. On average sediment is here resuspended 4-5 times per month with a duration for each event of 22 hours. The highest resuspension frequencies are found on the eastern and southern side of the Baltic Proper. During resuspension sediment grains are lifted up into the water mass and matters earlier bound in the sediment can be released. This may stimulate both production and degradation of organic matter.

A B S T R A C T This study examines the impact of catastrophic flood on the species com- position and size of fish prey in the diet of kingfisher (Alcedo atthis) nest- ing in Prague's Botič stream in 2013. Floods in June 2013 affected mainly Bohemia and partly Moravia. The streams across the Vltava river basin, in part of the Elbe river basin and marginally in the Thaya river got swollen. The effect of the flood on the Botič stream was further ampli- fied by draining of water from the dam Hostivař. Hundred and forty year water caused considerable damage to property and it is likely that it also changed the character and size composition of biota, especially fish. This change should be reflected naturally in the diet of kingfisher, which nests and hunts here. The species composition and size of fish prey in the diet of kingfisher before and after the catastrophic flood was investigated from the mass of regurgitated pellets collected from nest tunnels and chambres. In the nesting sediment, 689 head diagnostic bones (pharyngeal bones - ossa pharyngea and preopercual bones - praeoperculare) were found before the flood on Botič stream in June 2013. These bones belonged to 10 fish species and 3 families (Cyprinidae, Percidae and Balitoridae). The average length of fish was 6,5 cm, average weight 2,6 g, and the index of...

The Vůznice Reservoir is located in the Protected Landscape Area Křivoklátsko. The thesis took advantage of the special possibilities to sample bottom sediment from the drained reservoir's space. The Vůznice Reservoir is discharged only exceptionally. Concentrations of heavy metals were evaluated in the sediments' samples. Given values were compared with pollution limits under current legislation of the Czech Republic for possible application of sediments on agricultural land resources. In addition, the values were compared with the U.S. EPA limits, particularly with PEC and TEC. Selected heavy metals meet the required limits of Decree No. 257/2009 Coll. placed on the sediment. Key words: toxic metals, Vuznice, bottom sediment, application of dredged sediments on land

Os processos hidrossedimentológicos são complexos e dependem de diversos fatores. Entendê-los requer alto grau de especialização de mão de obra, além da utilização de equipamentos e técnicas ainda incipientes no país. O monitoramento hidrossedimentológico com dados confiáveis de concentração de sedimentos em suspensão pode ser problemático quando são empregados métodos convencionais, pois geralmente os mesmos apresentam medições com quantidade de postos e frequências inferiores aos desejáveis, limitando estudos e a gestão de recursos hídricos quando se trata de reservatórios. Nesse contexto, esta dissertação apresenta um estudo realizado no reservatório da Pequena Central Hidrelétrica Mogi-Guaçu (SP) na qual realizou-se a correlação dos dados de concentração de sedimentos em suspensão mensuradas com dispositivo automático (LISST-100X) e por amostragem convencional (Garrafa Van Dorn). Por meio de regressões lineares e testes estatísticos avaliou-se a eficiência da técnica de difração à laser, e se estimaram as concentrações de sedimentos em suspensão para as duas campanhas realizadas. Analisando os resultados obtidos, confirmou-se estatisticamente que dentre todos os cenários de regressões lineares adotados, o modelo que divide o reservatório em setores apresentou melhores estimativas de concentração, inferindo-se que a concentração do sedimento em suspensão possui um comportamento característico ao segmento do reservatório de Mogi-Guaçu. Notou-se também, a redução da concentração entre as duas campanhas realizadas, decorrente principalmente pela redução da velocidade do fluxo d\'água. Desse modo, a sonda LISST-100X, se mostrou viável para o estudo de caso. Ressalta-se que a utilização desta sonda possibilitou a obtenção de um número maior de dados do que os obtidos por meio do emprego de técnica convencional, possibilitando uma análise mais completa do reservatório e reduzindo significativamente o trabalho de campo, laboratório e escritório. / Hydrosedimentological processes are complex and depend on many factors and understanding them requires a high degree of labor specialization, as well as the use of equipment and techniques still incipient in Brazil. The hydrosedimentological monitoring with reliable sediment concentration data may be problematic when conventional methods are used. Its measurements are usually undertaken at a number of stations and frequencies below the desired ones, which limit studies and the management of water resources of reservoirs. This dissertation reports on a study on the Mogi-Guaçu (SP) Small Hydroelectric Plant reservoir and the correlation between the suspended sediment sample data measured by an automatic device (LISST-100X) and conventional sampling conducted by a Van Dorn sampler. The laser diffraction efficiency was evaluated by linear regression and statistical tests and the concentration of suspended sediment was estimated for the two campaigns. The results show the model that divides the reservoir into sectors provided better estimates of concentration and the concentration of suspended sediment exhibited a characteristic behavior for the segment of Mogi-Guaçu reservoir. A reduction in the concentration, caused mainly by a decrease in the water flow speed, was also observed between the two campaigns and laser diffraction proved feasible for the case study. This methodology enables the obtaining of a larger amount of data than that achieved by conventional techniques, a more complete analysis of the shell and significant reductions in the field, laboratory and office work.

Usualmente la producción de sedimentos en suspensión (Qss) de un río es calculada utilizando datos de caudales medios diarios o mensuales. Considerando que la mayor Qss ocurre durante los eventos de lluvias y también que los caudales medios no son capaces de representar adecuadamente los máximos caudales, principalmente en zonas de alta variabilidad climática, la forma usual de cálculo de Qss puede subestimar esta producción. En este sentido, esta investigación buscó analizar la influencia de la variabilidad temporal de los datos de caudales en el cálculo de la producción de sedimentos. Adicionalmente fue analizada el uso de diferentes tipos de curvas de sedimentos: (i) para todo el periodo de estudio, (ii) por años hidrológicos y (iii) asociación por épocas características (húmedas, semi-húmedas y secas). El estudio fue realizado en la subcuenca del río Torata, ubicada en una zona semiárida al sur del Perú, entre 2100 y 5200 m de altitud con pendiente promedio de 21.0% y alta variabilidad climática, en especial la precipitación que se ve reflejado en los caudales, ya que en un lapso de horas puede variar de 4 a 34 m3/s. El error entre la descarga prevista y estimada para el periodo de estudio (2001-2012) utilizando los diferentes tipos de curvas fue (i) -65.85%, (ii) -15.36% y (iii) -8.74%, presentando mejora en el coeficiente de eficiencia de Nash-Sutcliffe de 0.248 para 0.500. Los resultados mostraron que la diferencia entre la descarga de sedimentos en suspensión total para el periodo calculado con caudales medias mensuales y diarias fue de -92% y -62%, ambos en comparación de producción para valores medios horarios. También fue constatado que el 99.7% de la producción de sedimentos ocurre en temporada de lluvias, inclusive, un único evento de lluvia llegó a producir 80% de la producción anual. Los resultados de esta investigación ponen en manifiesto la importancia de utilizar registros de caudales con escalas pequeñas de tiempo (minutos, horas), que puedan representar la alta variabilidad de los caudales característicos de zonas semiáridas. / The usual methods that calculate the suspended sediment flux (Qss) of rivers employ discharge mean values daily or monthly. As most of the sediments are transported during overflow events and a mean value smooths the flood peak discharge, mainly in high climatic variability areas, the usual method to evaluate the Qss might underestimate the production of river sediments. This paper reports on an analysis of the gauge influence of temporal variability on the sediment yield estimation. Additionally, the use of different types of sediment rate curves was analyzed for (i) the whole time-series data, (ii) per hydrological year, and (iii) per hydrological pattern characterization (flood, intermediary and drought). A study case was conducted in the Torata river sub-catchment, a Peruvian semi-arid area located between altitudes of 2100 and 5200 meters and whose average slope is 21%. The high climatic variability is expressed by the huge river flow amplitude, which ranges from 4 to 34 m3/s in a few hours. The errors for the sediment yield from 2001 to 2012 estimated by the different sediment rating curves were (i) -65,85%, (ii) -15,36% and (iii) -8,74%, with a 0,248 to 0,500 Nash-Sutcliffe efficiency coefficient improvement. The differences between the sediment yield in total suspension for the period calculated monthly and daily were -92% y and -62%, respectively, in comparison with the production for hourly average values. Results show that 99,7% of the sediment are produced during the flood season and a single overflow event could represent 80% of the annual sediment discharge flow. This research highlights the importance of collecting and using discharge data of a short time interval (minutes or hours) to compute and represent the overflow peaks typical of semiarid regions.

Ökosystem-Ingenieure sind Organismen, deren Auswirkung auf die Funktion von Ökosystemen im Vergleich zu ihrer Anzahl und Biomasse überproportional groß ist. Ein klassisches Beispiel für Ökosystem-Ingenieure sind grabende Organismen, deren Aktivitäten (Bioturbation) sowohl die Sedimentmatrix als auch das Porenwasser in aquatischen Sedimenten beeinflussen. Solche Tiere wirken auf eine große Anzahl von biogeochemischen Prozessen in benthischen Ökosystemen ein, unter anderem auf die aerobe Atmung (Respiration). Die Respiration aquatischer Sedimente umfasst häufig über 50 % der gesamten Respiration von aquatischen Systemen und spielt eine große Rolle im globalen Kohlenstoffkreislauf. Die vorliegende Doktorarbeit beschäftigt sich mit den Auswirkungen der physikalischen Umwelt (Sedimenteigenschaften, am meistens hydraulischer Leitfähigkeit) auf die mikrobielle Respiration von Sedimenten, in denen Bioturbation durch Chironomidenlarven stattfindet. Um die Auswirkungen von Bioturbation auf Respiration zu messen und zu identifizieren, wurde eine neue Messmethode entwickelt (Kapitel 4.1). Kapitel 4.2 zeigt, dass der Einfluss von Bioturbation auf die Respiration des Sediments mit zunehmender Temperatur ansteigt. Kapitel 4.3 belegt, dass Resazurin auch für die Messung der Respiration in marinen Sedimenten geeignet ist. Kapitel 4.4 vergleicht und begutachtet die große Anzahl und Vielfalt hydrologischer, biogeochemischer und ökologischer Tracer einschließlich Resazurin. Die physikalische Umwelt (Sedimentmatrix) kontrolliert wie stark die Auswirkungen der Bioturbation auf die Respiration des Sedimentes sind. Dementsprechend liefert diese Doktorarbeit die Basis für das Verständnis der Auswirkungen benthischer Bioturbation auf Respiration und Kohlenstoffumsatz in limnischen und marinen Sedimenten. / Ecosystem engineers are organisms, whose impact on ecosystem functioning is disproportionally large compared to their abundance and biomass. A classic example of ecosystem engineers are burrowing organisms whose activities (bioturbation) affect the sediment matrix and pore solutes in aquatic sediments. Bioturbating animals are impacting on a number of biogeochemical processes in benthic ecosystems, including, among others, aerobic respiration. Respiration of aquatic sediments often comprises over 50% of the total respiration of aquatic systems, and plays a tremendous role in the global carbon cycle. The present thesis deals with the impacts of the physical environment (sediment characteristics, mainly hydraulic conductivity and grain fractions) on the (microbial) respiration of bioturbated sediments. In order to disentangle the effects of bioturbation on respiration, a novel measurement method has been developed (Chapter 4.1). Chapter 4.2 reveals that the impact of bioturbation on sediment respiration increases with increasing temperature. Chapter 4.3 shows that resazurin can also be used for the measurement of respiration in bioirrigated marine sediments. Chapter 4.4 reviews the large number and diversity of hydrological, biogeochemical and ecological tracers including resazurin. The present thesis shows that in sediments with low hydraulic conductivity (diffusion-dominated sediments) (Chapters 4.1,4.2) bioturbation is altering sediment respiration to a larger extent than in sediments with high hydraulic conductivity (advection-dominated sediment) (Chapter 4.3). The physical environment (sediment matrix) controls the intensity of the impacts of bioturbation on sediment respiration. Thus, this thesis provides a basis for understanding the impact of benthic bioturbators on respiration and carbon sequestering in freshwater and marine sediments.

The purpose of this study is to analyze how estimates of an important geomorphic parameter, effective discharge, are impacted by the choice of bed material load equations and flow duration curves (FDCs). The Yang (1979), Brownlie (1981), and Pagosa equations developed by Rosgen (2006) were compared for predicting bed material load. To calculate the bed material load using the Pagosa equations, the bedload and suspended load are calculated separately and the results are added together. To compare the effectiveness of the equations, measured bed material load data from the USGS Open-File Report 89-67 were used. Following the calculations, the equation results were compared to the measured data. It was determined that the Pagosa equations performed the best overall, followed by Brownlie and then Yang. The superior performance of the Pagosa equations is likely due to the equations being calibrated. USGS regression equations for FDCs were compared to a method developed by Dr. David Rosgen in which a dimensionless FDC (DFDC) is developed. Weminuche Creek in southwestern Colorado was used as the study site. Rosgen's DFDC method requires the selection of a streamgage for a stream that exhibits the same hydro-physiographic characteristics as the site of interest. An FDC is developed for the gaged site and made dimensionless by dividing the discharges by the bankfull discharge of the gaged site. The DFDC is then made dimensional by multiplying by the bankfull discharge of the site of interest and the resulting dimensional FDC is taken as the FDC of the ungaged site. The USGS regression equations underpredicted the discharges while Rosgen's DFDC method overpredicted them. Rosgen's DFDC method produced more accurate results than the USGS regression equations for Weminuche Creek. To calculate the effective discharge, the FDC was used to develop a flow frequency curve which was then multiplied by the sediment rating curve. Effective discharge calculations were performed for Weminuche Creek using several combinations of bed material load prediction equations and FDCs. The USGS regression equations, Rosgen's DFDC method, and streamgage data were all used in conjunction with the Yang and Pagosa equations. The Brownlie equation predicted zero bed material load for Weminuche Creek, and was thus not used to calculate the effective discharge. When the USGS regression equations were used with the Yang and Pagosa equations, the calculated effective discharge was approximately 4.5 cms for both bed material load prediction equations. When Rosgen's DFDC method and streamgage data were used with the Yang and Pagosa equations, the effective discharge was approximately 13.5 cms. From these results, it was determined that the bed material load prediction equations had little impact on the effective discharge for Weminuche Creek while the FDCs did influence the results.