Dispersive Soils at Sugarloaf Dam Site, Near Melbourne, Australia

2009 ◽  
pp. 432-432-35 ◽  
Author(s):  
DH Stapledon ◽  
RJ Casinader
Keyword(s):  
Dam Site ◽  
Dispersive Soils

scholarly journals Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential

2021 ◽  
Vol 10 (1) ◽  
pp. 27
Author(s):  
Bilal Ahmad Munir ◽  
Sajid Rashid Ahmad ◽  
Raja Rehan
Keyword(s):  
Sediment Yield ◽  
Soil Loss ◽  
Rainwater Harvesting ◽  
Suitability Analysis ◽  
Valley Bottom ◽  
The North ◽  
Roughness Index ◽  
Dam Site ◽  
Very High

In this study, a relation-based dam suitability analysis (RDSA) technique is developed to identify the most suitable sites for dams. The methodology focused on a group of the most important parameters/indicators (stream order, terrain roughness index, slope, multiresolution valley bottom flatness index, closed depression, valley depth, and downslope gradient difference) and their relation to the dam wall and reservoir suitability. Quantitative assessment results in an elevation-area-capacity (EAC) curve substantiating the capacity determination of selected sites. The methodology also incorporates the estimation of soil erosion (SE) using the Revised Universal Soil Loss Equation (RUSLE) model and sediment yield at the selected dam sites. The RDSA technique identifies two suitable dam sites (A and B) with a maximum collective capacity of approximately 1202 million m3. The RDSA technique was validated with the existing dam, Gomal-Zam, in the north of Sanghar catchment, where RDSA classified the Gomal-Zam Dam in a very high suitability class. The SE estimates show an average of 75 t-ha−1y−1 of soil loss occurs in the study area. The result shows approximately 298,073 and 318,000 tons of annual average sediment yield (SY) will feed the dam A and B respectively. The SE-based sediment yield substantiates the approximate life of Dam-A and Dam-B to be 87 and 90 years, respectively. The approach is dynamic and can be applied for any other location globally for dam site selection and SE estimation.

scholarly journals Effect of Silica Fume as a Waste Material for Sustainable Environment on the Stabilization and Dynamic Behavior of Dispersive Soil

2021 ◽  
Vol 13 (8) ◽  
pp. 4321
Author(s):  
Murat Türköz ◽  
Seyfettin Umut Umu ◽  
Ogan Öztürk
Keyword(s):  
Silica Fume ◽  
Dynamic Properties ◽  
Soil Improvement ◽  
Waste Material ◽  
Resonant Column ◽  
Engineering Applications ◽  
Positive Effects ◽  
Sustainable Environment ◽  
Earthen Dams ◽  
Dispersive Soils

The use of dispersive soils, which are common in many parts of the world, in engineering applications such as water structures, earthen dams and road embankments is possible with their improvement. Recently, the effects of different chemicals on the stabilization of dispersive soils have been investigated. The use of waste materials in stabilization is preferred both because of the more sustainable environment and the economic advantages it provides. The use of silica fume (SF) as a waste material in different engineering applications provides an important advantage in environmentally and economically sustainable ways. Many studies have been carried out regarding silica fume, especially in the construction industry. Although SF is used in many industries, there is no study about its potential impact on the stabilization and dynamic properties of dispersive soils. In this study, first, Atterberg limits and standard Proctor compaction tests were performed on the mixtures prepared by adding different SF percentages (0, 5, 10, 15, 20, 25 and 30%). Afterward, pinhole tests and resonant column tests were performed to determine dispersibility and dynamic properties on the samples prepared by compaction characteristics for each SF percentage reached. In general, it was determined that SF contributed to a change in soil class, and improvement in dispersibility and dynamic properties of the soil sample, depending on SF content; positive effects of SF were observed in terms of shallow soil improvement.

Evaluation of rock mass improvement due to cement grouting by Q-system at Bakhtiary dam site

2015 ◽  
Vol 74 ◽  
pp. 38-44 ◽  
Author(s):  
A. Zolfaghari ◽  
A. Sohrabi Bidar ◽  
M.R. Maleki Javan ◽  
M. Haftani ◽  
A. Mehinrad
Keyword(s):  
Rock Mass ◽  
Cement Grouting ◽  
Dam Site ◽  
Q System ◽  
Bakhtiary Dam

Comparison of Permeability and Groutability of Ostur Dam Site Rock Mass for Grout Curtain Design

2012 ◽  
Vol 46 (2) ◽  
pp. 341-357 ◽  
Author(s):  
S. M. Sadeghiyeh ◽  
M. Hashemi ◽  
R. Ajalloeian
Keyword(s):  
Rock Mass ◽  
Grout Curtain ◽  
Dam Site

scholarly journals Factors influencing the sediment delivery ratio of the Three Gorges Reservoir

2018 ◽  
Vol 40 ◽  
pp. 03019
Author(s):  
Dayu Wang ◽  
Chunhong Hu ◽  
Chunming Fang ◽  
Jianzhao Guan ◽  
Lei Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Three Gorges Reservoir ◽  
Delivery Ratio ◽  
Three Gorges ◽  
Sediment Delivery Ratio ◽  
Sediment Delivery ◽  
Shape Coefficient ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
Dam Site

In recent years, the sediment delivery ratio (SDR) of the Three Gorges reservoir (TGR) has noticeably decreased as a result of the increase in water levels at the dam site and the decrease in inflow of fine particles, thereby resulting in increased reservoir siltation. Therefore, it is vital to research the factors that influence the SDR of the TGR. Factors that could have impact on the SDR were studied using TGR monitoring data. The study indicated that the water level at the dam site and inflow and outflow rates could have contributed to the change in the SDR. A sensitivity analysis of the influencing factors was then carried out using a mathematical model to simulate numerous sediment movement scenarios in the TGR. By changing the input conditions of the model, sufficient results were obtained to enable a sensitivity analysis of each factor. The results showed the flood retention time (FRT)—the ratio of reservoir capacity to average outflow discharge—was the principal factor influencing the SDR. The other factors (inflow sediment concentration, inflow sediment coefficient, inflow sediment gradations, and the shape coefficient of the inflow flood shape coefficient), also had an influence on the SDR. However, under different levels of FRT, their degrees of influence on the SDR were not the same..

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