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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
111

Rainfall energy loss model in soil erosion process

Pudasaini, Madhu S., University of Western Sydney, College of Health and Science, School of Engineering January 2008 (has links)
Soil erosion is recognized as a global threat against the sustainability of the natural ecosystem and the environment because of its severe effects in agricultural productivity, damage to infrastructure and pollution of water bodies. Adverse impacts due to human activities resulting in accelerated soil erosion process have been well documented. Much more attention has been given to study the mechanisms associated with the process of soil erosion in the second half of the 20th century. Different mathematical models have been developed to simulate soil erosion processes and incorporate the result in different options of erosion controls. Modelling soil erosion is a complex process that involves numerous parameters. It is for this reason that even highly sophisticated and advanced erosion prediction models like Water Erosion Prediction Project (WEPP) do not incorporate all mechanisms of the soil erosion process. An obvious gap is the satisfactory explanation and incorporation of soil erosion mechanism associated with the initial portion of microchannels where both inter-rill and rill erosion exist. This study attempts to fill this gap through extension of knowledge in the area of soil erosion mechanism, specifically within the initial portions of rill where both splash erosion and erosion due to shear stress exist. Detachment of soil particles from the soil surface depends on the kinetic energy imparted by raindrops. Therefore, it is essential to estimate kinetic energy as accurately as possible to enable study of soil erosion and infiltration mechanisms. Rainfall simulation is widely used to generate rainfall of desired intensities and durations to study soil erosion, infiltration and other dynamic behaviours of soil. Kinetic energy of a rainfall event is often estimated from its intensity. The actual kinetic energy imparted on a soil surface is generally less than the total value of kinetic energy of a rainfall event. This is because of the cushioning effect of the overland flow. Therefore, there is a potential risk of over prediction of splash erosion by an erosion prediction model that does not account for this cushioning effect. In this study, experiments were carried out to estimate the kinetic energy of three different simulated rainfall events produced by three different combinations of pressures and nozzle sizes. The equipment consisted of a multipurpose hydraulic flume, 2m long and 1.4m wide. Five highly sensitive force transducers were mounted on the surface of the flume to measure the impact of raindrops. Different slopes were represented in the experiment by tilting the flume in four different angles from 0 to 15 degrees. Two tipping bucket rain gauges were used to measure rainfall intensity. The nozzles were placed at a height sufficient to produce terminal velocity by the falling rain drops before they hit the flume surface. Overland flow was generated by continuously supplying water to the inlet tank constructed at the upstream of the hydraulic flume. Responses received from the transducers (in the form of voltage) and from the tipping bucket (in the form of pulses) were recorded at regular intervals. Based on this experimental study, a logarithmic energy loss model that accounts for the depth of shallow overland flow, rainfall intensity and bed slope to estimate potential loss of kinetic energy is proposed. Analysis of the results from the study indicated a significant reduction in kinetic energy when the surface flow starts to build up. The analysis also indicated that a significant portion of the energy is lost even though the flow depth is small. This implies that while splash erosion initially contributes to the total amount of soil erosion, most of the erosion after the initial phase is due to the flow induced shear stress. Another important conclusion of this study is that steeper the slope, the lesser the expected overland flow depth and hence more potential for splash erosion and sheet erosion. The Nash Sutcliffe model efficiency statistic of 90% obtained from this study signifies that the model could be used as a useful predictive tool to estimate rainfall kinetic energy loss. The energy loss model developed as a result of this study can be incorporated in process-based soil erosion models to accurately estimate splash erosion and improve the predictive power of these models. In Addition, the model can be used to estimate the critical depth of overland flow when the kinetic energy approaching the soil surface is practically nil. This critical depth can be used to define the transition zone and explicitly define the term “Rill”. The multipurpose hydraulic flume designed and developed for this study can be used for further studies in area of hydraulic and soil erosion research. The methodology developed in this research will be helpful in carrying out further experiments and improve the proposed energy loss model. The potential Future improvements to the model include the followings: i) incorporating the effect of sediment concentration, ii) using wider ranges of intensities, and iii) using an actual soil bed. / Doctor of Philosopy (PhD)
112

Simulation of runoff-producing rainfall in the Southwest

Bergstrom, Michael Lee. January 1983 (has links) (PDF)
Thesis (M.S. - Renewable Natural Resources)--University of Arizona, 1983. / Includes bibliographical references (leaves 90-92).
113

A simple forecasting scheme for predicting low rainfalls in Funafuti, Tuvalu

Vavae, Hilia. January 2008 (has links)
Thesis (M.Sc. Earth Sciences)--University of Waikato, 2008. / Title from PDF cover (viewed February 23, 2009) Includes bibliographical references (p. 72-75)
114

Role of the Indian and Pacific Oceans in the Indian summer monsoon variability

Achuthavarier, Deepthi. January 2009 (has links)
Thesis (Ph.D.)--George Mason University, 2009. / Vita: p. 179. Thesis director: V. Krishnamurthy. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Dynamics. Title from PDF t.p. (viewed June 10, 2009). Includes bibliographical references (p. 171-178). Also issued in print.
115

Characterizing the spatial distribution of short duration, high intensity rainfall in the central Oregon Coast Range /

Goard, Deborah Lynn. January 1900 (has links)
Thesis (M.S.)--Oregon State University, 2004. / Printout. Includes bibliographical references (leaves 91-95). Also available on the World Wide Web.
116

A hierarchical Bayes model for combining precipitation measurements from different sources /

Cardoso, Tamre Porter. January 2004 (has links)
Thesis (Ph. D.)--University of Washington, 2004. / Vita. Includes bibliographical references (leaves 183-189).
117

A study of expected rainfall for selected stations in the state of Florida

Unknown Date (has links)
It is the purpose of this investigation to determine the amount of rain fall to be expected in various areas of the State of Florida. To date there are no published papers which are concerned with this aspect of rain fall in the state. Although this study is mainly concerned with the amount of rain fall which may be expected at ten per cent intervals throughout the state, it is probable that it has many ramifications which will be of value in other phases of water research. In speaking of the ten per cent intervals of time we are actually dealing with percentages of the total time. Hence, 25 years out of 50 years should not be construed to mean the next 25 years out of the next 50 years. / Typescript. / "August, 1949." / "Submitted to the Graduate Council of Florida State University in partial fulfillment of the requirements for the degree of Master of Science under Plan II." / Advisor: LeRoy Babcock, Professor Directing Paper. / Includes bibliographical references (leaf 58).
118

Statistical modeling of extreme rainfall processes in consideration of climate change

Cung, Annie. January 2007 (has links)
No description available.
119

Rainfall in Hong Kong

Chin, Ping-chuen, 錢秉泉 January 1971 (has links)
published_or_final_version / Geography and Geology / Doctoral / Doctor of Philosophy
120

Erosion hazard assessment in the upper Ewaso Ng'iro Basin of Kenya : application of GIS, USLE and EUROSEM

Mati, Bancy Mbura January 1999 (has links)
No description available.

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