Grain Size Distribution with Geomorphology on Gypsum Dunes
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Data Dictionary for Grain-Size Data Tables
Data Dictionary for Grain-Size Data Tables The table below describes the attributes (data columns) for the grain-size data tables presented in this report. The metadata for the grain-size data are not complete if they are not distibuted with this document. Attribute_Label Attribute_Definition SAMPLE ID Sediment Sample identification number DEPTH (cm) Sample depth interval, in centimeters Physical description of sediment textural group - describes the dominant grain size class of the sample (after Folk, 1954): SEDIMENT TEXTURE (Folk, 1954) Sand, Clayey Sand, Muddy Sand, Silty Sand, Sandy Clay, Sandy Mud, Sandy Silt, Clay, Mud, or Silt AVERAGED SAMPLE RUNS Number of sample runs (N) included in the averaged statistics or other relavant information MEAN GRAIN SIZE (mm) Mean grain size, in microns (after Folk and Ward, 1957) MEAN GRAIN SIZE STANDARD DEVIATION (mm) Standard deviation of mean grain size, in microns SORTING (mm) Sample sorting - the standard deviation of the grain size distribution, in microns (after Folk and Ward, 1957) SORTING STANDARD DEVIATION (mm) Standard deviation of sorting, in microns SKEWNESS (mm) Sample skewness - deviation of the grain size distribution from symmetrical, in microns (after Folk and Ward, 1957) SKEWNESS STANDARD DEVIATION (mm) Standard deviation of skewness, in microns KURTOSIS (mm) Sample kurtosis - degree of curvature near the mode of the grain size distribution, in microns (after Folk and Ward, 1957) KURTOSIS STANDARD DEVIATION (mm) Standard deviation of kurtosis, in microns MEAN GRAIN SIZE (ɸ) Mean -
Evolution and Grain Size Distribution of Bahamian Ooid Shoals From
Movement and grain size distribution of Bahamian sand shoals from remote sensing Kathryn M. Stack Michael Lamb, Ralph Milliken, Sebastien Leprince, John Grotzinger California Institute of Technology KISS Monitoring Earth Surface Changes From Space II 3/30/10 Motivation: Understand how sediment moves underwater Transport Grain size Implicaons Evoluon of shallow Petroleum and natural CO2 reservoirs bathymetry gas reservoirs 2 How remote sensing data can help • Obtain a 2-D snapshot of a modern day shallow carbonate environment • Build up a time series of morphology and grain size • Quantify the distribution and movement of sediment at a variety of temporal and spatial scales –Tides versus storms? • Use the modern to better understand the 3-D patterns of porosity and permeability in the rock record The Bahamas: A modern carbonate environment Florida The Atlantic Ocean The Bahamas Cuba 100 km Google Earth Tongue of the Ocean Schooner Cays 20 km 20 km Exumas Lily Bank 2 km 2 km Tongue of the Ocean 10 km 1 Crest spacing ~ 1‐10 km Google Earth 3 Crest spacing ~ 100 m 2 1 km Crest spacing ~ 1 km ASTER, Band 1 20 m Sediment transport and bedform migration Bedform spatial scales = 5-10 cm, 1 m, 10-100 m, 1-10 km Temporal scales = Hours, days, years Δy Δx Transport Ideal Imaging Campaign • High enough spatial resolution to see bedform crests on a number of scales - Sub-meter resolution - Auto-detection system • High enough temporal resolution to distinguish between slow steady processes and storms - Image collection every 3 to 6 hours • Spectral resolution depending on bedform scale of interest Also useful: • High resolution water topography (sub-meter resolution) • Track currents, tides, and water velocity Application of COSI-Corr • Use the COSI-Corr software developed by Leprince et al. -
2. Desertification of the Mesopotamian Plain
Journal of Earth Sciences and Geotechnical Engineering, Vol.10, No.4, 2020, 125-142 ISSN: 1792-9040 (print version), 1792-9660 (online) Scientific Press International Limited Desertification and Salinization of the Mesopotamian Plain: A Critical Review Varoujan K. Sissakian1,2, Nadhir Al-Ansari3, Nasrat Adamo4, Mukhalad Abdullah5 and Jan Laue6 Abstract Most of the Mesopotamian Plain is covered by Quaternary sediments among which the flood plain sediments of the Tigris and Euphrates rivers are the most dominant parts. Aeolian sediments; however, also cover considerable areas at different parts of the plain in forms of sand dunes, sand sheets and Nebkhas. The dunes are the most common form and they are creeping as well as sand sheets in vast areas causing desertification. The main reasons causing this is climate change, abandoning of agricultural areas. Salinization is another significant problem in the plain whereby the affected areas are growing in size and the concentration of the salt in the soil, as well as the groundwater is increasing rapidly. The increase in salinization is due to miss- management of water resources, and the increasing salinity of the surface and ground water which due to the use of irrigation water supplied from Al-Tharthar Depression (lake) and the Main Outfall Drain. Keywords: Desertification, Sand dunes, Groundwater, Salinization, Solonization. 1 Lecturer, University of Kurdistan Hewler. 2 Private Consultant Geologist, Erbil. 3 Professor, Water Resource Engineering, Lulea University of Technology, Sweden. 4 Consultant Dam Engineer, Sweden. 5 Private Engineer, Baghdad, Iraq. 6 Professor, Water Resource Engineering, Lulea University of Technology, Sweden. Article Info: Received: March 10, 2020. -
The Effect of Variable Grain Size Distribution on Beach's
Delft University of Technology Faculty of Civil Engineering and Geosciences Department of Hydraulic Engineering MSc Thesis THE EFFECT OF VARIABLE GRAIN SIZE DISTRIBUTION ON BEACH’S MORPHOLOGICAL RESPONSE Graduation committee: Prof.dr.ir. A.J.H.M. Reniers Author: Dr.ir. Matthieu de Schipper Melike Koktas Ir. Tjerk Zitman Dr. Edith L. Gallagher May 2017 P a g e 2 | 67 EXECUTIVE SUMMARY Field studies with in-situ sediment sampling demonstrate the spatial variability in grain size on a sandy beach. However, conventional numerical models that are used to simulate the coastal morphodynamics ignore this variability of sediment grain size and use a uniform grain size distribution of mostly around and assumed fine grain size. This thesis study investigates the importance of variable grain size distribution in a beach’s morphological response. For this purpose, first a field experiment campaign was conducted at the USACE Field Research Facility (FRF) in Duck, USA, in the spring of 2014. This experiment campaign was called SABER_Duck as an acronym for ‘Stratigraphy And BEach Response’. During SABER_Duck, in-situ swash zone grain size distribution, the prevailing hydrodynamic conditions and the time-series of the cross-shore bathymetry data were collected. The data confirmed a highly variable grain size distribution in the swash zone both vertically and horizontally. Additionally, the two trench survey observations showed the existence of continuous layers of coarse and fine sands comprising the beach stratigraphy. Secondly, a process based numerical coastal morphology model, XBeach, was chosen to simulate the beach profile response to wave and tidal action. A 1D cross-shore profile model was built and tested with the bathymetry data and accompanying boundary conditions that were collected during SABER_Duck. -
Rose-Marcella-Thesis-2020.Pdf
CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Nebkha Morphology, Distribution and Stability Black Rock Playa, Nevada A thesis submitted in partial fulfillment of the requirements For the degree of Master of Arts in Geography By Marcella Rose December 2019 The thesis of Marcella Rose is approved: _______________________________________ _____________ Dr. Julie Laity Date _______________________________________ _____________ Dr. Thomas Farr Date _______________________________________ _____________ Dr. Amalie Orme, Chair Date California State University, Northridge ii Acknowledgements Dr. Orme, I really don’t think that there is a sufficient combination of words that exist to properly express the immense amount of gratitude I feel for everything that you have done for me. This college education changed my life for the better and I hope you realize what a significant role you were within that experience. I am thankful that not only did I get a great professor, but also a friend. Dr. Laity, thank you so much for having faith in me and for taking me on as one of your last students to advise. But most of all, thank you for pushing me to be better – I needed that. Dr. Farr, I was so excited during DEVELOP that you accepted to be a part of my committee. It was a pleasure to work with you within the Black Rock Playa research team but then to also take our research a step further for this graduate thesis. I would also like to thank the staff at the Bureau of Land Management, Winnemucca: Dr. Mark E. Hall, Field Manager of the Black Rock Field Office; Shane Garside, Black Rock Station Manager/ Outdoor Recreation Planner; Brian McMillan, Rangeland Management Technician; and Braydon Gaard, Interim Outdoor Recreation Planner. -
Grain-Size Sorting in Grainflows at the Lee Side of Deltas
Sedimentology (2005) 52, 291–311 doi: 10.1111/j.1365-3091.2005.00698.x Grain-size sorting in grainflows at the lee side of deltas MAARTEN G. KLEINHANS Department of Physical Geography, Faculty of Geosciences, Universiteit Utrecht, PO Box 80115, 3508 TC Utrecht, The Netherlands (E-mail: [email protected]) ABSTRACT The sorting of sediment mixtures at the lee slope of deltas (at the angle of repose) is studied with experiments in a narrow, deep flume with subaqueous Gilbert-type deltas using varied flow conditions and different sediment mixtures. Sediment deposition and sorting on the lee slope of the delta is the result of (i) grains falling from suspension that is initiated at the top of the delta, (ii) kinematic sieving on the lee slope, (iii) grainflows, in which protruding large grains are dragged downslope by subsequent grainflows. The result is a fining upward vertical sorting in the delta. Systematic variations in the trend depend on the delta height, the migration celerity of the delta front and the flow conditions above the delta top. The dependence on delta height and migration celerity is explained by the sorting processes in the grainflows, and the dependence on flow conditions above the delta top is explained by suspension of fine sediment and settling on the lee side and toe of the delta. Large differences in sorting trends were found between various sediment mixtures. The relevance of these results with respect to sorting in dunes and bars in rivers and laboratory flumes is discussed and the elements for a future vertical sorting model are suggested. -
Coastal Processes Study at Ocean Beach, San Francisco, CA: Summary of Data Collection 2004-2006
Coastal Processes Study at Ocean Beach, San Francisco, CA: Summary of Data Collection 2004-2006 By Patrick L. Barnard, Jodi Eshleman, Li Erikson and Daniel M. Hanes Open-File Report 2007–1217 U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior DIRK KEMPTHORNE, Secretary U.S. Geological Survey Mark D. Myers, Director U.S. Geological Survey, Reston, Virginia 2007 For product and ordering information: World Wide Web: http://www.usgs.gov/pubprod Telephone: 1-888-ASK-USGS For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment: World Wide Web: http://www.usgs.gov Telephone: 1-888-ASK-USGS Barnard, P.L.., Eshleman, J., Erikson, L., and Hanes, D.M., 2007, Coastal processes study at Ocean Beach, San Francisco, CA; summary of data collection 2004-2006: U. S. Geological Survey Open-File Report 2007- 1217, 171 p. [http://pubs.usgs.gov/of/2007/1217/]. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted material contained within this report. ii Contents Executive Summary of Major Findings..................................................................................................................................1 Chapter 2 - Beach Topographic Mapping..............................................................................................................1 -
Change in Characteristics of Soil Carbon and Nitrogen During the Succession of Nitraria Tangutorum in an Arid Desert Area
sustainability Article Change in Characteristics of Soil Carbon and Nitrogen during the Succession of Nitraria Tangutorum in an Arid Desert Area Xinyou Wang 1,2,3, Quanlin Ma 2,*, Hujia Jin 2, Baoli Fan 2, Duobin Wang 1 and Huilong Lin 1,* 1 State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; [email protected] (X.W.); [email protected] (D.W.) 2 State Key Laboratory of Desertification and Aeolian Sand Disaster Combating, Gansu Desert Control Research Institute, Lanzhou 730070, China; [email protected] (H.J.); [email protected] (B.F.) 3 College of Science and Technology, Gansu Radio & TV University, Lanzhou 730030, China * Correspondence: [email protected] (Q.M.); [email protected] (H.L.) Received: 5 January 2019; Accepted: 19 February 2019; Published: 21 February 2019 Abstract: The shrub Nitraria tangutorum is distributed widely in arid desert areas, and plays a critical role in the desert–oasis ecosystem. This study quantified varying characteristics of carbon (C) and nitrogen (N) in the soil at four stages—the initial stage (IS), stable stage (SS), degradation stage (DS), and severe degradation stage (SDS)—in a steppe ecosystem in the desert of northwestern China. The results indicated that N. tangutorum experienced both expansion and deterioration as a decline of 50.7% occurred in the available soil water due to agricultural utilization, and the plant community transformed from being shrub-dominated to annual herb-dominated. At soil layer depths between 0–100 cm in the N. -
Maggie Williams Particle Size, Shape and Sorting: What Grains Can Tell Us
Particle size, shape and sorting: what grains can tell us Maggie Williams Most sediments contain particles that have a range of sizes, so the mean or average grain size is used in description. Mean grain size of loose sediments is measured by size analysis using sieves Grain size >2mm Coarse grain size (Granules<pebble<cobbles<boulders) 0.06 to 2mm Medium grain size Sand: very coarse-coarse-medium-fine-very fine) <0.06mm Fine grain size (Clay<silt) Difficult to see Remember that for sediment sizes > fine sand, the coarser the material the greater the flow velocity needed to erode, transport & deposit the grains Are the grains the same size of different? What does this tell you? If grains are the same size this tells you that the sediment was sorted out during longer transportation (perhaps moved a long distance by a river or for a long time by the sea. If grains are of different sizes the sediment was probably deposited close to its source or deposited quickly (e.g. by a flood or from meltwater). Depositional environments Environment 1 Environment 2 Environment 3 Environment 4 Environment 5 Environment 6 Sediment size frequency plots from different depositional environments • When loose sediment collected from a sedimentary environment is washed and then sieved it is possible to measure the grain sizes in the sediment accurately. • The grain size distribution may then be plotted as a histogram or as a cumulative frequency curve. • Sediments from different depositional environments give different sediment size frequency plots. This shows the grain size distribution for a river sand. -
WIND and ITS IMPACT on the GEOMORPHOLOGICAL APPEARANCE on MUSANDAM PENINSULA- SULTANATE of OMAN Dr
WIND AND ITS IMPACT ON THE GEOMORPHOLOGICAL APPEARANCE ON MUSANDAM PENINSULA- SULTANATE OF OMAN Dr. Naglaa Tawfik Oref Lecturer of physical geography and GIS Department of social studies, Taibahu University, Saudi Arabia Received on 5/10/2018 Accepted on 4/12/2018 Vol.11 (1) March 2019 51 WIND AND ITS IMPACT ON THE the submerged coasts and a number of intents GEOMORPHOLOGICAL APPEARANCE ON that formulate the area coast(Torab , M 2002). MUSANDAM PENINSULA- SULTANATE OF OMAN Location: Dr. Naglaa Tawfik Oref Musandam peninsula lies at the entrance of lecturer of physical geography and GIS The Arabian Gulf, extending between two Department of social studies, latitudes of 25º 40′ and 26º 30′ to the north, and Taibahu University, Saudi Arabia between two longitudes of 56º 05′ and 56º 30′ The Egyptian Journal Of Environmental Change Key words: coastal sand dunes, Rock Chimney, to the east. limited by The Gulf of Oman from Musandam Peninsula, Arabian Gulf, the east and by The Arabian Gulf from the west. Abstract: It overlooks Strait of Hormuz northerly, but the Musandam peninsula lies at the entrance of southern watershed separating between Basins The Arabian Gulf. The area affected by the of Wadi Tibet, Wadi Khasab, Wadi Al-Wahiya tilting subsidence that had happened in the and Mala which slopes towards west, north and Tertiary and are still happening now (Falcon, east, on one hand, and between Wadi Sha'am and N.L., 1973). The climate impact on the area’s Al-Bih, sloping towards south and west, on the surface. The old climate effect on the drainage other one this line is considered as a southern networks. -
Geologic Evolution of the Dukhan Salt Flats in Western Qatar Peninsula, Arabian Gulf
Qatar Univ. Sci. J. (2003), 23:41-58 Geologic Evolution of the Dukhan salt flats in Western Qatar Peninsula, Arabian Gulf Abdulali M. Sadiq Department of Geology, College of Science, University of Qatar, P.O. Box 2713, Doha, Qatar E-mail: [email protected] ~..;il\-- ~~' ~ 4y,lJ\ w~J ~t,h~ ~~~'- JP\ ~~\ ~\ ,_;hi;~~~ ~ J.l~~~' ¥- 4...JS ~ J -·- 11 •· r"Y"'-'_u, .. ' ... y~ ~ _;b9 .:u 3~ , ~ 3 ..l..l\ , 'I' v~ r ~Y. <J3 ~ , _;b9 4...t..al;.. ~~ e,l:..~ wl.,b."J (wLjj'J if-_,ill ~WI~ 0A ~1) ~\.....ail\ .J__,_.....JI ~ ~ .w\.,b."JI o~ ~ w~_;JI 4.ib..i\ 0A ~.WI ~_Y.o- 3 .)\ _;b§ :U_3~ (.)4 ~_jJI ~U\ ~ ~\)\ 1~\ - .;;II · ~~\ ~ ··- 11 . ~oWl 4.5. ~.h.A · ~ ~ LQ w~ ::11 ~ i..ff" ~ (.,)-'~ ~ 1,.,? ~ _;:::. _J '-?~ . ..? . Y"' 4........Shil _J 4l)§_J ~\_3 ~.h.A ~ bh.A I~\. ca.:. i<l tL:.uJI o~ )W .;;~\ ~\.l\1 tl:-uJI ~ 0A ~y:;JI -:11 w1..J.....u .-:11 JS,..:;w .(....J .:..1\ 11 ~\ -'\ ojl.:J\ ·l:..j 1-.: U ··. :·.11 1\ .U .Q ~ ~\ '-:?"' . Y"' _J . ....)"'-' (.S"' y (..) ~ .. 3 l.9...J""""' (.S"' y= l.J"l ..:r .. 1.5 __AJI -UL lh .1<1\ · .:..1\ w1..J.....u · ;..,9.;.; Jl ~ .. _) . c....- . ~. (..)·fo '-:?"'~.11 ~)\ _J ~\.. _J ~ U:1....?-' . y ~ u----a (..).a..ll.::o.....I....-A.l ~ w_J_);ll ~ 1~ ~JA ~~ ~~ e,l:..j wl.,b."<l ~ .~hhll 0A wl4--b ~ '-?~ w~ _;JI ufo_3 • -.;;., b. "l\ e,yy:JI 0A cJWI ~.l:JI _J ~_HI o4-JI r-b.:l§l _J ;;jjL..uJI ~4-JI ~WI ~_J -~~~ 0A '-?_,.;t:l )~ A..b~ clJI (.)4 ~)c ~_J ~\ ~ ~.J ~ ~l.:JI ~jjc ' a.1 ·all J41 ~ \..t\ ~_,.b)\ ~ e,i ~ ~ )\ w~ _;JI o~ e,\.9 , ~WI -.;; ., l Jl lA I~ '1~ o~~ ~\ ~ ~ ,~\ tlb§ (.)4 \~'-?~\~I ~_J .%"1 • ~\ ~_,.b~l j}~ ~~A ;;_)_Jj .)1 ~y:; ~ ~~ 0t.::..j wl.,b."<l ufo 0i ~ ,.clli\ ~_J .~I.J~4JI ~~ .;; ~·~1 ~ w'll ~~ U-""l)l:. -
Coastal Vegetation of South Africa 14
658 S % 19 (2006) Coastal Vegetation of South Africa 14 Ladislav Mucina, Janine B. Adams, Irma C. Knevel, Michael C. Rutherford, Leslie W. Powrie, John J. Bolton, Johannes H. van der Merwe, Robert J. Anderson, Thomas G. Bornman, Annelise le Roux and John A.M. Janssen Table of Contents 1 Introduction: Distribution and Azonal Character of Coastal Vegetation 660 2 Origins of South African Coastal Features 661 3 Ecology of Coastal Habitats 662 3.1 Aquatic and Semi-aquatic Habitats 662 3.1.1 Algal Beds 662 3.1.2 Estuaries 662 3.2 Terrestrial Habitats 666 3.2.1 Sandy Beaches and Dunes 666 3.2.2 Rocky Shores: Coastal Cliffs and Headlands 671 4 Biogeographical Patterns 672 4.1 Major Biogeographical Divisions 672 4.2 Algal Beds 673 4.3 Estuaries 674 4.4 Dunes 675 5 Principles of Delimitation of Vegetation Units 675 5.1 Algal Beds 675 5.2 Estuarine Vegetation 675 5.3 Dry Seashore Vegetation 676 5.4 Eastern Strandveld 676 6 Conservation Challenges: Status, Threats and Actions 677 6.1 Algal Beds 677 6.2 Estuaries 677 6.3 Beaches, Dunes and Strandveld 678 7 Future Research 679 8 Descriptions of Vegetation Units 680 9 Credits 690 10 References 690 Figure 14.1 Evening mood with Scaevola plumieri (Goodeniaceae) on the coastal dunes of Maputaland (northern KwaZulu-Natal). 659 W.S. Matthews W.S. S % 19 (2006) List of Vegetation Units cate interactions between sea and air temperature, geology and local topography, wind patterns and deposition of sand Algal Beds 680 and salt, and of tidal regime.