CN109357657B - Method for predicting maximum depth of beach animal hole - Google Patents

Method for predicting maximum depth of beach animal hole Download PDF

Info

Publication number
CN109357657B
CN109357657B CN201811352463.9A CN201811352463A CN109357657B CN 109357657 B CN109357657 B CN 109357657B CN 201811352463 A CN201811352463 A CN 201811352463A CN 109357657 B CN109357657 B CN 109357657B
Authority
CN
China
Prior art keywords
beach
determining
soil body
hole
maximum depth
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201811352463.9A
Other languages
Chinese (zh)
Other versions
CN109357657A (en
Inventor
常方强
梁康康
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huaqiao University
Original Assignee
Huaqiao University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huaqiao University filed Critical Huaqiao University
Priority to CN201811352463.9A priority Critical patent/CN109357657B/en
Publication of CN109357657A publication Critical patent/CN109357657A/en
Application granted granted Critical
Publication of CN109357657B publication Critical patent/CN109357657B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/18Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring depth

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
  • Farming Of Fish And Shellfish (AREA)

Abstract

The invention provides a method for predicting the maximum depth of a beach animal hole, which comprises the following steps: (1) determining the median particle size d of the beach soil mass50(ii) a (2) Determining the gravity gamma of the beach soil body; (3) determining the cohesive force c of the beach soil body; (4) determining saturated internal friction angle of beach soil
Figure DDA0001865216290000012
Determining the reinforcing effect coefficient α of the secretion of the beaches on the soil body of the hole wall, (6) determining the diameter R of the hole dug by the beaches, (7) determining the maximum depth of the hole dug by the animal according to the following formula,

Description

Method for predicting maximum depth of beach animal hole
Technical Field
The invention relates to the field of marine organisms, in particular to a method for predicting the maximum depth of a beach animal cave excavation.
Background
The biological activities on the beach are frequent, and many living cave animals including crabs and various shellfish live on the beach. These animals typically dig holes in the beach or form holes by body peristalsis, where they live and breed and emerge to feed when the tide has subsided. Due to the limited strength of the beach soil body, the depth of the hole dug by the beach soil body is limited, when the depth exceeds the limit value, collapse occurs, and animals are buried in the beach soil body or can not enter the hole again. The maximum depth of the holes is clear, and the method has important significance for knowing the activity space of animals, the working range of artificial beach culture and the like. The invention provides a method for predicting the maximum depth of a beach animal cave excavation, which has the advantages of simple structure, convenience in implementation and reliable result.
Disclosure of Invention
The invention aims to provide a method for predicting the maximum depth of a beach animal hole, which has the advantages of simple structure, convenient implementation and reliable result.
In order to achieve the above object, the present invention provides a method for predicting the maximum depth of a beach animal hole, comprising the following steps:
(1) determining the median particle size d of the beach soil mass50
(2) Determining the gravity gamma of the beach soil body;
(3) determining the cohesive force c of the beach soil body;
(4) determining saturated internal friction angle of beach soil
Figure BDA0001865216280000025
(5) Determining α the reinforcement effect coefficient of the secretion of the beach animals on the soil body of the hole wall;
(6) determining the diameter R of a hole dug by the beach animals;
(7) determining the maximum depth of the animal hole according to the following formula,
Figure BDA0001865216280000021
wherein β is the hole size influence factor.
In a preferred embodiment: step 1, determining the median particle diameter d of the beach soil body50The method specifically comprises the following steps: taking the beach soil body, adopting a screening method or a pycnometer method to test the particle size grading condition of the beach soil body, drawing a particle accumulation grading curve, and then calculating the median particle size d of the soil body50
In a preferred embodiment: the step 2 of determining the gravity gamma of the beach soil body specifically comprises the following steps: taking an original soil sample from the beach soil body, carrying out a density test to test the gravity gamma of the beach soil body, or directly testing the gravity gamma of the beach soil body by adopting a cutting ring on site.
In a preferred embodiment: the step 3 of determining the cohesive force c of the beach soil body specifically comprises the following steps: and taking an original soil sample from the beach soil body, performing a direct shear test, and testing the cohesive force c of the beach soil body.
In a preferred embodiment: step 4, determining the saturated internal friction angle of the beach soil body
Figure BDA0001865216280000022
The method specifically comprises the following steps:median particle diameter d according to test50And determining the saturated internal friction angle by
Figure BDA0001865216280000023
Figure BDA0001865216280000024
In a preferred embodiment, the crab aperture reinforcement factor α is 1.02, the clam aperture reinforcement factor α is 1.10, and the razor clam aperture reinforcement factor α is 1.15.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention provides a method for predicting the maximum depth of a beach animal hole, which has the advantages of simple structure, convenience in implementation and reliable result.
Detailed Description
A beach animal hole maximum depth prediction method comprises the following steps:
(1) determining the median particle size d of the beach soil mass50
(2) Determining the gravity gamma of the beach soil body;
(3) determining the cohesive force c of the beach soil body;
(4) determining saturated internal friction angle of beach soil
Figure BDA0001865216280000034
(5) Determining α the reinforcement effect coefficient of the secretion of the beach animals on the soil body of the hole wall;
(6) determining the diameter R of a hole dug by the beach animals;
(7) determining the maximum depth of the animal hole according to the following formula,
Figure BDA0001865216280000031
wherein β is the hole size influence factor.
Wherein the beach soil is determined in step 1Median particle diameter d50The method specifically comprises the following steps: taking the beach soil body, adopting a screening method or a pycnometer method to test the particle size grading condition of the beach soil body, drawing a particle accumulation grading curve, and then calculating the median particle size d of the soil body50
The step 2 of determining the gravity gamma of the beach soil body specifically comprises the following steps: taking an original soil sample from the beach soil body, carrying out a density test to test the gravity gamma of the beach soil body, or directly testing the gravity gamma of the beach soil body by adopting a cutting ring on site.
The step 3 of determining the cohesive force c of the beach soil body specifically comprises the following steps: and taking an original soil sample from the beach soil body, performing a direct shear test, and testing the cohesive force c of the beach soil body.
Step 4, determining the saturated internal friction angle of the beach soil body
Figure BDA0001865216280000032
The method specifically comprises the following steps: median particle diameter d according to test50And determining the saturated internal friction angle by
Figure BDA0001865216280000033
Figure BDA0001865216280000041
In step 5, the strengthening effect coefficients are different for different animals, for example, the strengthening effect coefficient α of crab pores is 1.02, the strengthening effect coefficient α of clam pores is 1.10, and the strengthening effect coefficient α of razor clam pores is 1.15.
A certain beach is positioned in the coastal area of southeast of China, the soil body is mainly fine sand, the slope of the beach is small, the average slope is 3.4 degrees, the maximum tidal range is 4.7m, the tidal flat area is large, and a plurality of cave animals including crabs and a plurality of shellfish live in the beach. The method of the invention is adopted to predict the maximum depth of the crab hole, 1.0kg of soil body of the crab life is adopted on site and transported back to a laboratory for particle test, and the median particle diameter d is measured500.13; the severe gamma of the steel is 18kN/m by adopting a ring cutter method on site3(ii) a The cohesive force c is 1.2kPa by adopting a direct shear test; the saturated internal friction angle of the soil body is 4.5 DEG through calculationAnd the diameter R of the hole is 0.01m, and the maximum depth of the hole of the beach crab is 0.73m through further calculation.
The above is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and variations or technical scopes disclosed by the present invention can be easily conceived by those skilled in the art. Alternatives are intended to be included within the scope of the invention. Therefore, the protection scope of the present invention should be determined by the scope of the claims.

Claims (5)

1. A beach animal hole maximum depth prediction method is characterized by comprising the following steps:
(1) determining the median particle size d of the beach soil mass50
(2) Determining the gravity gamma of the beach soil body;
(3) determining the cohesive force c of the beach soil body;
(4) determining saturated internal friction angle of beach soil
Figure FDA0002451867890000011
Median particle diameter d according to test50And determining the saturated internal friction angle by
Figure FDA0002451867890000012
Figure FDA0002451867890000013
(5) Determining α the reinforcement effect coefficient of the secretion of the beach animals on the soil body of the hole wall;
(6) determining the diameter R of a hole dug by the beach animals;
(7) determining the maximum depth of the animal hole according to the following formula,
Figure FDA0002451867890000014
wherein β is the hole size influence factor.
2. The method of claim 1, wherein the method for predicting the maximum depth of the beach animal hole comprises: step 1, determining the median particle diameter d of the beach soil body50The method specifically comprises the following steps: taking the beach soil body, adopting a screening method or a pycnometer method to test the particle size grading condition of the beach soil body, drawing a particle accumulation grading curve, and then calculating the median particle size d of the soil body50
3. The method of claim 1, wherein the method for predicting the maximum depth of the beach animal hole comprises: the step 2 of determining the gravity gamma of the beach soil body specifically comprises the following steps: taking an original soil sample from the beach soil body, carrying out a density test to test the gravity gamma of the beach soil body, or directly testing the gravity gamma of the beach soil body by adopting a cutting ring on site.
4. The method of claim 1, wherein the method for predicting the maximum depth of the beach animal hole comprises: the step 3 of determining the cohesive force c of the beach soil body specifically comprises the following steps: and taking an original soil sample from the beach soil body, performing a direct shear test, and testing the cohesive force c of the beach soil body.
5. The method of claim 1, wherein the crab aperture reinforcement effect coefficient is α× 1.02.02, the clam aperture reinforcement effect coefficient is α× 1.10.10, and the razor clam aperture reinforcement effect coefficient is α× 1.15.15.
CN201811352463.9A 2018-11-14 2018-11-14 Method for predicting maximum depth of beach animal hole Expired - Fee Related CN109357657B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811352463.9A CN109357657B (en) 2018-11-14 2018-11-14 Method for predicting maximum depth of beach animal hole

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811352463.9A CN109357657B (en) 2018-11-14 2018-11-14 Method for predicting maximum depth of beach animal hole

Publications (2)

Publication Number Publication Date
CN109357657A CN109357657A (en) 2019-02-19
CN109357657B true CN109357657B (en) 2020-08-07

Family

ID=65345170

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811352463.9A Expired - Fee Related CN109357657B (en) 2018-11-14 2018-11-14 Method for predicting maximum depth of beach animal hole

Country Status (1)

Country Link
CN (1) CN109357657B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10361301B4 (en) * 2003-12-24 2014-09-18 Volkswagen Ag Method for the subsequent measurement of a recess introduced into a component, in particular a laser bore, and apparatus for carrying out a method for the subsequent measurement of a recess introduced into a component
CN104881573A (en) * 2015-05-12 2015-09-02 广州地铁设计研究院有限公司 Risk assessment method and system for urban rail traffic engineering
CN105432528A (en) * 2015-12-21 2016-03-30 同济大学 Field environment test system and method for small aquatic animals
CN106950121A (en) * 2017-03-31 2017-07-14 长沙理工大学 It is a kind of that the method that side slope superficial distinguishes deepness is determined with triaxial compression test
CN107506566A (en) * 2017-10-16 2017-12-22 中国科学院、水利部成都山地灾害与环境研究所 A kind of new dynamics of debris flow Numerical Analysis methods and system
CN108228961A (en) * 2017-11-27 2018-06-29 华侨大学 A kind of weakness vein sea cave hole top slump thickness prediction method
CN108629126A (en) * 2018-05-09 2018-10-09 中国地质大学(北京) It is a kind of to consider the macro thin rock mass mechanics numerical modeling method for seeing defect coupled

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10361301B4 (en) * 2003-12-24 2014-09-18 Volkswagen Ag Method for the subsequent measurement of a recess introduced into a component, in particular a laser bore, and apparatus for carrying out a method for the subsequent measurement of a recess introduced into a component
CN104881573A (en) * 2015-05-12 2015-09-02 广州地铁设计研究院有限公司 Risk assessment method and system for urban rail traffic engineering
CN105432528A (en) * 2015-12-21 2016-03-30 同济大学 Field environment test system and method for small aquatic animals
CN106950121A (en) * 2017-03-31 2017-07-14 长沙理工大学 It is a kind of that the method that side slope superficial distinguishes deepness is determined with triaxial compression test
CN107506566A (en) * 2017-10-16 2017-12-22 中国科学院、水利部成都山地灾害与环境研究所 A kind of new dynamics of debris flow Numerical Analysis methods and system
CN108228961A (en) * 2017-11-27 2018-06-29 华侨大学 A kind of weakness vein sea cave hole top slump thickness prediction method
CN108629126A (en) * 2018-05-09 2018-10-09 中国地质大学(北京) It is a kind of to consider the macro thin rock mass mechanics numerical modeling method for seeing defect coupled

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
缺资料地区泥石流预警雨量阈值研究;潘华利等;《岩土力学》;20120731;第33卷(第7期);第2122-2126页 *

Also Published As

Publication number Publication date
CN109357657A (en) 2019-02-19

Similar Documents

Publication Publication Date Title
Fabi et al. An assessment of biomass and diel activity of fish at an artificial reef (Adriatic Sea) using a stationary hydroacoustic technique
Kristensen et al. What is bioturbation? The need for a precise definition for fauna in aquatic sciences
Miller et al. Detrimental effects of sedimentation on marine benthos: what can be learned from natural processes and rates?
Broch et al. Spatiotemporal dispersal and deposition of fish farm wastes: a model study from central Norway
Heywood et al. The sedimentation of salmonid spawning gravels in the Hampshire Avon catchment, UK: implications for the dissolved oxygen content of intragravel water and embryo survival
O’Hara et al. Cold‐water coral habitats on seamounts: do they have a specialist fauna?
Stoeckel et al. Evaluation of a crayfish burrowing chamber design with simulated groundwater flow
Vehanen et al. Habitat preference by grayling (Thymallus thymallus) in an artificially modified, hydropeaking riverbed: a contribution to understand the effectiveness of habitat enhancement measures
Goseberg et al. Technological approaches to longline-and cage-based aquaculture in open ocean environments
Gortázar et al. Brown trout redd superimposition in relation to spawning habitat availability
Rees et al. Small-scale variation within a Modiolus modiolus (Mollusca: Bivalvia) reef in the Irish Sea. III. Crevice, sediment infauna and epifauna from targeted cores
El-Sorogy et al. Gastrochaenolites ichnofacies from intertidal seashells, Al-Khobar coastline, Saudi Arabia
Fitzsimons et al. Relationship between lake trout spawning, embryonic survival, and currents: A case of bet hedging in the face of environmental stochasticity?
CN109357657B (en) Method for predicting maximum depth of beach animal hole
Li et al. Migration and distribution of adult hatchery reared Yangtze sturgeons (Acipenser dabryanus) after releasing in the upper Yangtze River and its implications for stock enhancement
Yamada et al. Effects of fine sediment accumulation on the redd environment and the survival rate of masu salmon (Oncorhynchus masou) embryos
Hessler et al. Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries
Berry et al. Assessment of dredging-induced sedimentation effects on winter flounder (Pseudopleuronectes americanus) hatching success: results of laboratory investigations
Collier et al. Effects of hydraulic conditions and larval size on the microdistribution of Hydrobiosidae (Trichoptera) in two New Zealand rivers
Richards In-situ preservation—application of a process-based approach to the management of underwater cultural heritage
Braithwaite et al. Sabellarids: a hidden danger or an aid to subsea pipelines?
Rinandha et al. Sex ratio and first maturity size of matano ricefish (Oryzias matanensis Aurich, 1935) at Lake Towuti, South Sulawesi, Indonesia
Nika Reproductive ecology and success of sea trout Salmo trutta L. in a small lowland stream of Western Lithuania
Kubečka et al. Fish (Osteichthyes) in Biesbosch storage reservoirs (the Netherlands): a method for assessing complex stocks of fish
Sugiyama et al. Environmental parameters controlling the habitat of the brackish water clam corbicula japonica identified by predictive modelling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200807

CF01 Termination of patent right due to non-payment of annual fee