Assessment of state of earth dam of Elchovka settling pond by combination of electromagnetic soundings and polarization methods

This study examined the challenges of water resource development and management in Zing town,Taraba State, Nigeria. The study considered issues of sources of water supply in Zing town, the nature of water challenges, impacts of the water challenges on the socio-economic life of the people, water management strategies and prospect of urban water resource development in the study area. 110 questionnaires were systematically administered in ten streets that were purposively selected in Zing town. The data were analyzed using descriptive statistics. The result of the finding indicates that majority (45.5%) of the respondent have their water source from borehole, 18.2% streams, 18.2% hand dug wells and 9.1% from other sources (mostly water vendors). The study shows that 68.2% of the respondents had their water point located outside their households, while only 31.8% claimed to have their water sources located within their compounds (this is mostly hand dug wells). The nature of water challenge in the area ranges from severe (50%), not severe (27.3%) and normal (22.7%). The results also shows that only 34% of respondents claimed to have access to sufficient water daily, while 66% of the respondents hardly have access to sufficient water on daily basis. The study shows that the water management strategy adopted mostly by the respondent ranges from storing water in large container (48.2%), reduce water use (29.1%), increase amount spent on water (13.6%) and others 9.1% (mainly re-use of water). The prospect of water resource development in the study area is very bright with the proposal of a small earth dam in Monkin settlement by the Federal Government of Nigeria. The Monkin small earth dam which is meant to generate 500KW of electricity can be integrated into an urban water supply project in the area. This will assure more reliable water supply all year round. It will also help to overcome some of the challenges of servicing the hand pumps which rendered them inadequate when they break down. This study recommends the need to replace the old and obsolete borehole equipment with new ones and increase the number of boreholes to meet the increasing water demand in the area.

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Numerical and experimental modelling of seepage in homogeneous earth dam with combined drain

ISH Journal of Hydraulic Engineering ◽

10.1080/09715010.2021.1891469 ◽

2021 ◽

pp. 1-11

Author(s):

Azam Kouhpeyma ◽

Fouad Kilanehei ◽

Mahmood Hassanlourad ◽

Reza Ziaie-Moayed

Keyword(s):

Earth Dam ◽

Experimental Modelling

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An investigation on dam settlement during and end of construction using instrumentation data and numerical analysis

SN Applied Sciences ◽

10.1007/s42452-021-04306-z ◽

2021 ◽

Vol 3 (3) ◽

Author(s):

Behrang Beiranvand ◽

Mehdi Komasi

Keyword(s):

Numerical Analysis ◽

Multivariate Regression ◽

Initial Conditions ◽

Horizontal Displacement ◽

Behavioral Model ◽

Critical Section ◽

Earth Dam ◽

Dam Construction ◽

Good Match ◽

Consolidation Settlement

AbstractIn the present study, using instrumentation data regarding vertical and horizontal displacement of the dam have been analyzed. Also, the largest and most critical section of the Marvak earth dam is modeled with the behavioral model of the Mohr–Coulomb by GeoStudio software. Numerical modeling of the dam has been done considering the actual embankment conditions and to analyze the changes of the immediate settlement during construction and the consolidation settlement just after construction and initial impounding. The outcomes of instrumentation and numerical analysis at the end of Marvak dam construction showed a settlement between 20 and 500 mm. The results show that the settlement will occur during the construction at the upper levels and the end of construction at the middle levels of the dam. By comparing observed and predicted data, multivariate regression and the explanation coefficient criterion (R2) was found to be R2 = 0.9579, which shows a very good correlation between observed and predicted data, and represents a good match for the settlement points and their location with the initial conditions of the design, and the behavior of the dam in terms of the settlement is found to be stable.

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Application of Geophysics to foundation studies along the Axis of Likarbu earth dam zuntu in Kaduna State, Nigeria

Ife Journal of Science ◽

10.4314/ijs.v8i1.32202 ◽

2007 ◽

Vol 8 (1) ◽

Author(s):

B D Ako ◽

J F Adeyemi ◽

T R Ajayi ◽

A O Adepoju ◽

J B Arubayi

Keyword(s):

Earth Dam

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Porous-concrete pipe drainage of the earth dam of the Riga Hydroelectric Power Station

Hydrotechnical Construction ◽

10.1007/bf02378252 ◽

1974 ◽

Vol 8 (10) ◽

pp. 914-916

Author(s):

I. S. Ronzhin ◽

A. D. Osipov ◽

V. Kh. Gol'tsman ◽

A. B. Yumatov

Keyword(s):

Earth Dam ◽

Hydroelectric Power Station ◽

Hydroelectric Power ◽

Power Station ◽

Porous Concrete ◽

The Earth ◽

Concrete Pipe

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Shear Stresses and the Hydraulic Fracturing of Earth Dam Soils

SOILS AND FOUNDATIONS ◽

10.3208/sandf1972.33.3_14 ◽

1993 ◽

Vol 33 (3) ◽

pp. 14-27 ◽

Cited By ~ 13

Author(s):

Luis E. Vallejo

Keyword(s):

Hydraulic Fracturing ◽

Earth Dam ◽

Shear Stresses

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Predicting Seepage of Earth Dams Using Neural Network and Genetic Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.3081 ◽

2011 ◽

Vol 403-408 ◽

pp. 3081-3085 ◽

Cited By ~ 2

Author(s):

Xin Ying Miao ◽

Jin Kui Chu ◽

Jing Qiao ◽

Ling Han Zhang

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Field Data ◽

Back Propagation ◽

Earth Dam ◽

Earth Dams ◽

Gradient Descent Algorithm ◽

Levenberg Marquardt ◽

Lm Algorithm ◽

Good Agreement

Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm for Levenberg-Marquardt(GA-LM), a new neural network(NN) model has been developed for predicting the seepage of an earth dam in China using 381 databases of field data (of which 366 in 2008 were used for training and 15 in 2009 for testing). Genetic algorithm(GA) is an ecological system algorithm, which was adopted to optimize the NN structure. Levenberg-Marquardt (LM) algorithm was originally designed to serve as an intermediate optimization algorithm between the Gauss-Newton(GN) method and the gradient descent algorithm, which was used to train NN. The predicted seepage values using GA-LM model are in good agreement with the field data. It is demonstrated here that the model is capable of predicting the seepage of earth dams accurately. The performance of GA-LM has been compared with that of conventional Back-Propagation(BP) algorithm and LM algorithm with trial-and-error approach. The comparison indicates that the GA-LM model can offer stronger and better performance than conventional NNs when used as a quick interpolation and extrapolation tool.

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