scholarly journals Dimensional analysis and stage-discharge relationship for weirs: a review

2017 ◽  
Vol 48 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad Bijankhan ◽  
Vito Ferro
Keyword(s):  
Dimensional Analysis ◽  
Review Paper ◽  
Hydraulic Structure ◽  
Drainage Network ◽  
Self Similarity ◽  
Weir Flow ◽  
Flow Motion ◽  
Approach Channel ◽  
Rating Curves ◽  
Flow Stage

Deducing the weir flow stage-discharge relationship is a classical hydraulic problem. In this regard Buckingham’s theorem of dimensional analysis can be used to find simple and accurate formulas to obtain the rating curves of different weir types. At first, in this review paper the rectangular weir that is a very common hydraulic structure is studied. It is indicated that the crest shape, approach channel width, obliquity (angle between the weir crest and the direction normal to the flow motion) and vertical inclination (pivot weir) are the key-parameters affecting the flow over the rectangular weirs. The flow over the triangular, labyrinth, parabolic, circular, elliptical, and W-weirs are also studied using dimensional analysis and incomplete self-similarity concept. For all mentioned weirs the stage-discharge relationships are presented and the application limits are discussed. The results of this paper can be used and implemented by the irrigation and drainage network designers to simplify the procedure of weir design.

scholarly journals Assessing, measuring and modelling erosion in calanchi areas: a review

2016 ◽  
Vol 47 (4) ◽  
pp. 181 ◽  
Author(s):  
Nathalie Almaru Caraballo-Arias ◽  
Vito Ferro
Keyword(s):  
Dimensional Analysis ◽  
Recent Literature ◽  
Similarity Theory ◽  
Rapid Development ◽  
The Self ◽  
Geometric Features ◽  
Self Similarity ◽  
Full Size ◽  
Space And Time ◽  
Geomorphic Processes

Calanchi are erosion landforms characterised by a heavily dissected terrain with steep, unvegetated slopes and channels with a dendritic pattern, which rapidly incise and extend headwards. Recent literature focusing on badland systems highlights their similarity with other larger fluvial landforms, stating that these behave as a full size laboratory, due to their rapid development in space and time and to the diversity of geomorphic processes involved. In this paper, a brief review of the most important results on badland research is firstly presented. Then, the morphometric similarity between calanchi and other erosion landforms is discussed. Finally, models quantitatively relating the volume of sediments eroded from calanchi landforms and a set of geometric features of their tributary areas, by exploiting the dimensional analysis and the self-similarity theory, are presented.

scholarly journals Application of Stage-Fall-Discharge Rating Curves to a Reservoir Based on Acoustic Doppler Velocity Meter Measurement Data

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2443
Author(s):  
Yeonsu Kim ◽  
Sungryul Oh ◽  
Seungsoo Lee ◽  
Jisun Byun ◽  
Hyunuk An
Keyword(s):  
Hydraulic Structure ◽  
Measurement Data ◽  
Acoustic Doppler Current Profiler ◽  
Doppler Velocity ◽  
Rating Curve ◽  
Gate Operation ◽  
Current Profiler ◽  
Specific Discharge ◽  
Rating Curves ◽  
Floating Objects

The applicability of the stage-fall-discharge (SFD) method in combination with acoustic Doppler velocity meter (ADVM) data, upstream of a hydraulic structure, specifically, the Sejong-weir located in the Geum River, Korea, was examined. We developed three rating curves: a conventional simple rating curve with the data measured using an acoustic Doppler current profiler (ADCP) and floating objects, an SFD rating curve with the data measured using the ADCP and floating objects, and an SFD rating curve with the data measured using an ADVM. Because of the gate operation effect, every rating curve involved many uncertainties under 1000 m3/s (3.13 m2/s, specific discharge). In terms of the hydrograph reconstruction, compared with the conventional simple rating curve, the SFD developed using ADVM data exhibited a higher agreement with the measured data in terms of the pattern. Furthermore, the measured discharge over 1000 m3/s primarily ranged between 97.5% and 2.5% in the graph comparing the ratio of the median and observed discharge. Based on this experiment, it is confirmed that the SFD rating curve with data to represent the backwater effect, such as ADVM data, can reduce the uncertainties induced by the typical rating curve

Review on Smile Detection

2021 ◽  
pp. 577-583
Author(s):  
Anurag Goswami ◽  
Ganjigunta Ramakrishna ◽  
Dr. Rajni Sethi
Keyword(s):  
Local Binary Pattern ◽  
Review Paper ◽  
Support Vector ◽  
Emotional States ◽  
Self Similarity ◽  
Softmax Classifier ◽  
Face Expression ◽  
Nearest Neighbours ◽  
Learning Machine ◽  
Smile Detection

Facial expressions are a result of specific movement of face muscles, and these face expressions are considered as a visible sign of a person’s internal thought process, intensions, and internal emotional states. Smile is such a face expression which often indicates, satisfaction, agreement, happiness, etc. Though, a lot of studies have been done over detection of Facial Expression in last decade, smile detection had attracted researcher for more deeper studies. In this review paper, different type of available smile detection so far has been discussed such as Deep Convolutional Neural Network (CNN), Hidden Marcov Model(HMM), K-Nearest Neighbours(KNN), Self Similarity of Gradient(GSS), Histogram of Oriented Gradients (HOG), Gabor-Energy Filters and Local Binary Pattern(LBP) etc and classifier like HAAR Classifier, Hidden Markov Model(HMM), Adaboost Support Vector Machine (SVM),Softmax Classifier and Extreme Learning Machine(ELM).This review paper will prove beneficial for learning about smile detection and its application.

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