A prediction method of beach erosion
A prediction method and a technology of erosion amount, which is applied in measuring devices, geophysical surveys, water conservancy projects, etc., can solve problems such as complicated methods, difficult parameters to determine, and inconvenience for engineers to master and use, and achieve the effect of simple steps and reliable results
Active Publication Date: 2018-08-24
HUAQIAO UNIVERSITY
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For beach erosion, in addition to on-site investigation, it is a better method to use theoretical models to predict. Most of the current prediction methods are based on the transport model of mud and sand, the source of mud and sand, and the characteristics of waves and currents. Most of these methods are relatively complicated. , some parameters are difficult to determine, and it is not easy for engineers to master and use
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[0042] An implementation case, a city in the southeast coast of China was affected by a strong typhoon, and the beach soil in a certain place was fine sand. After testing, the median particle size d s =0.25mm, sand density ρ s =2.70g / cm 3 , the internal friction angle of the sand is 20°; the strong wave action monitored at the wave monitoring station (water depth 53.0m) lasts for about 10 hours, and the corresponding wave numbers of different wave heights are shown in figure 1 As shown, the average wave period is 5.4s, the depth of water increase on the beach is 2.5m, and the friction coefficient F between the water flow and the soil is w Take 0.05, erosion conversion coefficient K s = 4.57 mm / d. The two beach profiles are as figure 2 , image 3 As shown, adopt the prediction method of the present invention, predict the erosion amount of the beach surface after this sub-strong typhoon wave erosion, and the elevation after its erosion is expressed in figure 2 middle. I...
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A method for predicting the amount of beach erosion, including the following steps: 1) Calculate the breaking wave height Hb, Hb=0.39g0.2(TH02)0.4, g is the gravity acceleration, H0 is the deep water wave height, T is the wave period, and h is the beach Increase the water depth; 2) Calculate the wave speed u0 at the beach: 3) Calculate the number of waves Ni corresponding to different wave heights; 4) Calculate the erosion shear stress caused by waves on the beach surface: τw = 0.5Fwρwu02, where Fw is the flow and soil The friction coefficient between the bodies, ρw is the density of seawater; 5) Calculate the critical shear stress of sand soil erosion resistance: In the formula, ds is the median particle size of sand soil, ρs is the sand density and the internal friction angle of sand soil; 6) Calculate the amount of erosion on the beach: In the formula, Es is the amount of wave erosion, Ni is the number of waves corresponding to the i-th wave height, n is the number of wave heights, Ks and a are both conversion coefficients for converting erosive force into erosion amount, and a is 1.0 . The invention has the advantages of simple steps and reliable results, and aims to provide theoretical guidance for beach disaster reduction and protection.
Description
technical field [0001] The invention relates to a prediction method for beach erosion under the action of strong waves in typhoon weather. Background technique [0002] The southeast coast of my country is affected by several strong typhoons every year. The strong waves caused by the typhoon have a greater impact on the beach sand. erosion. Take the "Moratti" typhoon in 2016 as an example. The waves caused by the typhoon caused serious erosion of Xiamen Beach. According to the survey, the erosion of Wuguan Beach in Haicang reached a height of 10-15cm. Reach 23 ~ 54cm height. For beach erosion, in addition to on-site investigation, it is a better method to use theoretical models to predict. Most of the current prediction methods are based on the transport model of mud and sand, the source of mud and sand, and the characteristics of waves and currents. Most of these methods are relatively complicated. , some parameters are difficult to determine, and it is not easy for engin...
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IPC IPC(8): E02B1/00G01V99/00
CPCE02B1/00G01V20/00
Inventor 常方强
Owner HUAQIAO UNIVERSITY