Advanced search

Sciences in Cold and Arid Regions ›› 2018, Vol. 10 ›› Issue (5): 413-420.doi: 10.3724/SP.J.1226.2018.00413

Previous Articles     Next Articles

Comparison of two classification methods to identify grain size fractions of aeolian sediment

YanZai Wang1,2,3,*(),YongQiu Wu2,3,MeiHui Pan2,4,RuiJie Lu2,3   

  1. 1 College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
    2 State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875, China
    3 Engineering Center of Desertification and Blown-Sand Control, Ministry of Education, Beijing Normal University, Beijing 100875, China
    4 College of Geography and Environment Science, Northwest Normal University, Lanzhou, Gansu 730070, China
  • Received:2018-02-17 Accepted:2018-06-28 Online:2018-11-19 Published:2018-11-21
  • Contact: YanZai Wang E-mail:wyz2003qu@163.com
  • Supported by:
    This study is supported by project funding from Chongqing Normal University (No. 12XLB009) and Key Projects in the National Science & Technology Program (No. 2006BAD26B0302).

RichHTML

27

PDF (PC)

349

Abstract:

Grain-size class-Std (GSCStd) and Grain-size class-dD (GSCdD) methods are simple statistical approaches for classifying bulk grain-size distributions (GSDs) into grain-size fractions. Although these two methods were developed based on similar statistical principles, the classification difference between these two methods has not been analyzed. In this study, GSCStd and GSCdD methods are conducted in thirteen grain-size data sequences to examine the applicability for identifying grain size fractions. Results show that, application of the GSCStd method is equivalent to that of the GSCdD method in identifying finer grain-size fractions, and the difference between the two methods mainly comes from the identification of coarse grain-size fractions. Thus, finer grain-size fractions are recommended for use in research of surface aeolian and paleo-aeolian sediments. In addition, our results do not completely agree with previous studies, coarser grain-size fractions in our case suggest that the GSCdD method may not be more applicable than the GSCStd method.

Key words: Grain-size class-Std method, Grain-size class-dD method, grain-size fractions

Figure 1

Study area and sampling locations"

Figure 2

Application of GSCStd and GSCdD methods in previous studies"

Figure 3

Classification results of GSCStd and GSCdD methods for grain-size data sequence of surface sediment. The scatter plot refers to regression analysis between Stds and dD for each grain-size data sequence. The classification difference between Stds and dD graphs occurs over coarse grain-size classes"

Figure 4

The proportion changing tendency of grain-size fractions extracted from Std and dD graphs of surface sediment"

Table 1

The proportional ratio between samples outside and inside the shelter belt for each grain size fraction extracted by GSCStd and GSCdD methods"

PO/PI uf-GSCStd uf-GSCdD uc-GSCStd uc-GSCdD us-GSCStd us-GSCdD
TK-K134 0.57 0.57 1.44 1.44 0.70 0.70
TK-K286 0.44 0.44 3.67 3.67 0.57 0.63
TK-K290 0.51 0.51 2.12 2.12 0.63 0.63
TK-K299 0.51 0.51 1.85 2.60 0.62 0.62
TK-K352-1 0.67 0.63 2.85 2.85 0.71 0.71
TK-K352-2 0.67 0.58 1.55 1.39 0.77 0.77
TK-K352-3 0.56 0.56 1.54 1.35 0.68 0.62
TK-K352-4 0.55 0.55 1.25 2.05 0.60 0.60
TK-K352-5 0.72 0.72 1.70 1.26 0.77 0.75
TK-K534 0.68 0.68 11.71 10.51 0.84 0.84

Figure 5

Classification results of GSCStd and GSCdD methods for grain-size data sequence of paleo-aeolian sediment. The scatter plot refers to regression analysis between Stds and dD for each grain-size data sequence. The classification difference between Stds and dD graphs occurs over coarse grain-size classes"

Figure 6

The proportion changing tendency of grain-size fractions extracted from Std and dD graphs of paleo-aeolian sediment"

Table 2

The proportional ratio between sandy paleosol samples and sand samples for each grain size fraction extracted by GSCStd and GSCdD methods"

Pp/Ps uf-GSCStd uf-GSCdD uc-GSCStd uc-GSCdD us-GSCStd us-GSCdD
XL 1.73 1.70 0.44 0.49 1.51 1.55
JJ 2.44 2.44 0.46 0.51 2.08 1.89
SDG 2.05 2.05 0.25 0.31 1.91 1.87
1 Cheng H, He JJ, Xu XR, et al. Blown sand motion within the sand-control system in the southern section of the Taklimakan Desert Highway. Journal of Arid Land 2015; 7: 5 599- 611.
doi: 10.1007/s40333-015-0126-9
2 Du SH, Li BS, Niu DF, et al. Grain-size distribution characteristics of red sandy sediments in Dongjiang River Valley, southern Nanling Mountains, during the MIS2 stage. Sciences in Cold and Arid Regions 2009; 1: 5 443- 447.
3 Guan QY, Pan BT, Li N, et al. An indicator of sand storms in the south of the Tengger Desert. Theoretical and Applied Climatology 2010; 102: 1–2 197- 203.
doi: 10.1007/s00704-010-0252-4
4 Guan QY, Zhang JD, Wang LJ, et al. Discussion of the relationship between dustfall grain size and the desert border, taking the southern border of the Tengger Desert and the southern dust deposit area as an example. Palaeogeography, Palaeoclimatology, Palaeoecology 2013; 386: 1- 7.
doi: 10.1016/j.palaeo.2013.01.017
5 He Q, Yang XH, Huo W, et al. The characteristics of grain size from the Kumtag Desert and its environmental significance. Sciences in Cold and Arid Regions 2009; 1: 2 128- 134.
6 Huang YZ, Wang NA, He TH, et al. Process of historical desertification of Mu Us Desert and relationship between nature and human beings. Scientia Geographica Sinica 2009; 29: 2 206- 212.
7 Liao XX, Li S, Wang GY, et al. Grain-size features of aeolian sand on the east coast of Hainan Island and the revealed evolutionary processes of the sedimentary environment. Sciences in Cold and Arid Regions 2010; 2: 6 538- 546.
8 Liu B, Jin HL, Sun Z, et al. Extraction of sensitive grain-size component from the KE peat deposit of the Gonghe Basin and its implication for Holocene climatic and environmental change. Marine Geology & Quaternary Geology 2013; 33: 4 125- 134.
doi: 10.3724/SP.J.1140.2013.040125
9 Liu B, Jin HL, Yang F A late Holocene winter monsoon record inferred from the palaeo-aeolian sand dune in the southeastern Mu Us Desert, northern China. Sciences in Cold and Arid Regions 2016; 8: 5 388- 399.
10 Long H, Wang NA, Ma HZ, et al. Eolian activity and environment evolution history recorded by the Qingtu lake, NW Tengger Desert. Acta Sedimentologica Sinica 2007; 25: 4 626- 631.
doi: 10.3969/j.issn.1000-0550.2007.04.018
11 Lu RJ, Wang YJ, Zhang DS Climate changes and desert evolution of Mu Us Desert since 15 ka BP. Journal of Desert Research 2010; 30: 2 273- 277.
12 Ma L, Wu JL, Jilili A Environmental changes inferred from environmentally sensitive grain-size component records in Chaiwopu lake, Xinjiang. Acta Sedimentologica Sinica 2012; 30: 5 945- 954.
13 Niu GM, Qiang MR, Song L, et al. Change of eastern Asian winter monsoon recorded by aeolian deposits over the past 5000 years at the southeastern margin of Qaidam Basin. Journal of Desert Research 2010; 30: 5 1031- 1039.
14 Nottebaum V, Lehmkuhl F, Stauch G, et al. Regional grain size variations in aeolian sediments along the transition between Tibetan highlands and north-western Chinese desert–the influence of geomorphological settings on aeolian transport pathways. Earth Surface processes and Landforms 2014; 39: 14 1960- 1978.
doi: 10.1002/esp.3590
15 Pan MH, Wu YQ, Zheng YH, et al. Holocene aeolian activity in the Dinggye area (Southern Tibet, China). Aeolian Research 2014; 12: 19- 27.
doi: 10.1016/j.aeolia.2013.10.005
16 Roskin J, Katra I, Blumberg DG Particle-size fractionation of eolian sand along the Sinai-Negev erg of Egypt and Israel. GSA Bulletin 2014; 126: 1–2 47- 65.
doi: 10.1130/B30811.1
17 Wang YZ, Zhang CL, Dong YF, et al. Grain-size characteristics of Aeolian deposits and sediment action in prevent-sand system of Taklimakan Desert Highway. Journal of Arid Land Resources and Environment 2009; 23: 12 94- 102.
18 Wang YZ The particle size changes and its dynamic implication within the shrub barriers of desert highway in arid area. Quaternary Sciences 2013; 33: 2 376- 387.
doi: 10.3969/j.issn.1001-7410.2013.02.20
19 Xu SJ, Pan BT, Gao HS, et al. Analysis of grain-size populations with environmentally sensitive components of loess during the last interglacial-glacial cycle and their implications. Acta Pedologica Sinica 2006; 43: 2 183- 189.
doi: 10.3321/j.issn:0564-3929.2006.02.002
20 Xu SJ, Pan BT, Gao HS, et al. Changes in sand fractions of Binggou section and the expansion and contraction of the Tengger Desert during 50–30 ka. Earth Surface Processes and Landforms 2007; 32: 3 475- 480.
doi: 10.1002/esp.1439
21 Xue JB, Zhong W Variations in dust event reflected by grain-size component of lacustrine records in droughty area: a case study on Barkol Lake, Xinjiang, China. Acta Sedimentologica Sinica 2008; 26: 4 647- 654.
doi: 10.14027/j.cnki.cjxb.2008.04.010
22 Zhu BQ, Yu JJ, Qin XG, et al. Formation and evolution of sandy deserts in Xinjiang: the palaeo- environmental evidences. Acta Geographica Sinica 2013; 68: 5 661- 679.
doi: 10.11821/xb201305008
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] Mohan Bahadur Chand,Rijan Bhakta Kayastha. Study of thermal properties of supraglacial debris and degree-day factors on Lirung Glacier, Nepal[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 357 -368 .
[2] AiHong Xie, ShiMeng Wang, YiCheng Wang, ChuanJin Li. Comparison of temperature extremes between Zhongshan Station and Great Wall Station in Antarctica[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 369 -378 .
[3] YinHuan Ao, ShiHua Lyu, ZhaoGuo Li, LiJuan Wen, Lin Zhao. Numerical simulation of the climate effect of high-altitude lakes on the Tibetan Plateau[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 379 -391 .
[4] Zhuo Ga, Za Dui, Duodian Luozhu, Jun Du. Comparison of precipitation products to observations in Tibet during the rainy season[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 392 -403 .
[5] Rong Yang, JunQia Kong, ZeYu Du, YongZhong Su. Altitude pattern of carbon stocks in desert grasslands of an arid land region[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 404 -412 .
[6] Yang Qiu, ZhongKui Xie, XinPing Wang, YaJun Wang, YuBao Zhang, YuHui He, WenMei Li, WenCong Lv. Effect of slow-release iron fertilizer on iron-deficiency chlorosis, yield and quality of Lilium davidii var. unicolor in a two-year field experiment[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 421 -427 .
[7] Ololade A. Oyedapo,Joseph M. Agbedahunsi,H. C Illoh,Akinwumi J. Akinloye. Comparative foliar anatomy of three Khaya species (Meliaceae) used in Nigeria as antisickling agent[J]. Sciences in Cold and Arid Regions, 2018, 10(4): 279 -285 .
[8] YuMing Wei, XiaoFei Ma, PengShan Zhao. Transcriptomic comparison to identify rapidly evolving genes in Braya humilis[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 428 -435 .
[9] FangLei Zhong, AiJun Guo, XiaoJuan Yin, JinFeng Cui, Xiao Yang, YanQiong Zhang. Sociodemographic characteristics, cultural biases, and environmental attitudes: An empirical application of grid-group cultural theory in Northwestern China[J]. Sciences in Cold and Arid Regions, 2018, 10(5): 436 -446 .
[10] Yong Chen,Tao Wang,LiHua Zhou,Rui Wang. Industrialization model of enterprises participating in ecological management and suggestions: A case study of the Hobq Model in Inner Mongolia[J]. Sciences in Cold and Arid Regions, 2018, 10(4): 286 -292 .