基于GEE和Canoco的沙丘移动速率及其内外控制因子贡献率分析

doi:10.16843/j.sswc.2022002

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Abstract [Background] Ningxia Lingwu Baijitan National Nature Reserve (NLBNNR) is adjacent to the east coast of the middle and upper Yellow River in China, and the minimum distance from the Yellow River to it is only 5 km, while there are a large number of moving dunes in the Nature Reserve. Accurate analysis of the moving rate and its control factors of the dunes in Baijitan has a guiding role in the management measures to reduce the amount of quicksand into the Yellow River. However, the current qualitative analysis and one-to-one quantitative analysis methods limit the accurate determination of the control factors of dune moving. [Methods] Three sample plots with triangular distribution and an area of 300 m×300 m were selected in the moving sandy land in Baijitan National Nature Reserve. Based on high-resolution remote sensing images, the geomorphological characteristic parameters and dune morphology parameters, and the moving rate of dunes in eight periods from 2008 to 2021 were analyzed. Based on Google Earth Engine(GEE), several environmental factors(resultant drift potential(RDP), fraction vegetation cover (FVC)、 accumulation precipitation, average land surface temperature (LST), average air temperature) value in each period of the study area were obtained, and then redundancy analysis(RDA) was used to reveal the contribution rate of each environmental factor to the moving rate of dunes. [Results] From 2008 to 2021, the ridge-line number of mobile dune gradually decreased, whereas the average length of ridge-line increased, which implied the dunes merged during the movement in NLBNNR. The moving rates of dunes steadily decreased in five stages, with 5.62 m / a in the first stage and 4.64 m / a in the last stage. The decreasing rate in each stage was 0.22 m / a to 0.28 m / a, with a total decrease of about 1 m / a in 13 a. The control factors of the moving rate of dunes were divided into internal factors and external factors. The height, width and defect density of the dunes were the internal control factors. The height and width of the dunes had extremely significant linear negative correlation with the moving rate, and the defect density was significant positively correlated with the moving rate (P < 0.01). The contribution rates of RDP, FVC, cumulative precipitation, average LST and average air temperature to dune movement were 78.7%, 6.7%, 3.9%, 2.7% and 2.6%, respectively, indicating that only RDP was the external control factor of dune movement. [Conclusions] The number of moving dunes decreased, while the volume of single dune increased, and the moving rate of dunes dropped in five steps from 2008 to 2021 in the Nature Reserve. The main external factor controlling the moving rate of dunes was RDP in Baijitan in the past 13 years, but LST was found to be another key factor controlling dune moving during the seasonal freezing period.

Key words： dune movement resultant drift potential environmental factors contribution rate

Received: 05 January 2022

PACS:	P931.3
	S157

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	WANG Junchuan
	PANG Hong
	WANG Ruixia
	MA Guodong
	JIN Lei
	ZHANG Ping

Cite this article:

WANG Junchuan,PANG Hong,WANG Ruixia, et al. Analysis of dune movement rate and contribution rates of internal and external factors based on Google Earth Engine and Canoco[J]. SSWC, 2024, 22(3): 93-99.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2022002 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2024/V22/I3/93

[1]	许明静,吕萍,肖南,等郾毛乌素沙地西北部植被覆盖对沙丘移动的影响[J].中国沙漠, 2020, 40(4):71. XU Mingjing, LU Ping, XIAO Nan, et al. Effect of vegetation cover on dune migration in northwest Mu Us Sandy Land[J]. Journal of Desert Research, 2020,40(4):71.
[2]	MAHMOUD A, NOVELLINO A, HUSSAIN E, et al. The use of SAR offset tracking for detecting sand dune movement in Sudan[J]. Remote Sensing, 2020, 12(20):3410.
[3]	SHI Xuegang, LIU Shizeng, CHANG Zhaofeng. The barchan dunes movement regularity and its influence factors:A case study in the Hexi Desert area of Gansu[J]. International Journal of Ecology, 2017,6(2):93.
[4]	YANG Zhuanling, QIAN Guangqiang, DONG Zhibao, et al. Migration of barchan dunes and factors that influence migrationin the Sanlongsha dune field of the northern Kumtagh Sand Sea, China[J]. Geomorphology, 2021, 378(3):107615.
[5]	王静璞,刘连友,沈玲玲.基于Google Earth的毛乌素沙地新月形沙丘移动规律研究[J].遥感技术与应用, 2013, 28(6):1094. WANG Jingpu, LIU Lianyou, SHEN Lingling. Research of the barchan dunes movement in the Mu Us Sandy Land on Google Earth software[J]. Remote Sensing Technology and Application, 2013,28(6):1094.
[6]	杨军怀,董治宝,刘铮瑶,等.库鲁克沙漠风沙地貌与沙丘移动[J].中国沙漠, 2019, 39(4):1. YANG Junhuai, DONG Zhibao, LIU Zhengyao, et al. Aeolian geomorphology and dune migration in the Quruq Desert, China[J]. Journal of Desert Research, 2019,39(4):1.
[7]	刘宇胜.阿拉善北部戈壁地区新月形沙丘移动规律研究[D].呼和浩特:内蒙古农业大学,2018:19. LIU Yusheng. The Study on the Law of Barchan dunes'Movement in the Gobi Area in northern Alxa[D]. Hohhot:Inner Mongolia Agricultural University, 2018:19.
[8]	宁文晓,王振亭.巴丹吉林沙漠东南部典型高大沙丘形态参数分析[J].福建农林大学学报(自然科学版), 2018, 47(6):755. NING Wenxiao, WANG Zhenting. Analysis of morphological parameters of mega-dunes in the southeast of Badain Jaran Desert[J]. Journal of Fujian Agriculture and Forestry University (Natural Science Edition), 2018, 47(6):755.
[9]	李爱敏,韩致文.新月形沙丘形态参数与移动速度的关系[J].中国沙漠, 2020,40(1):29. LI Aimin, HAN Zhiwen. Relationship between moving speed and morphological parameters of barchan dunes[J]. Journal of Desert Research, 2020,40(1):29.
[10]	李建军,焦菊英,曹雪,等.柴达木盆地沙丘移动的空间分异及对形态参数的响应[J].农业工程学报, 2021, 37(7):309. LI Jianjun, JIAO Juying, CAO Xue, et al. Spatial regionalization and response to morphological parameters of dune migration in the Qaidam Basin of China[J]. Transactions of the CSAE, 2021,37(7):309.
[11]	DONG Zhibao, WANG Xunming, CHEN Guangting. Monitoring sand dune advance in the Taklimakan Desert[J]. Geomorphology, 2000,35(3):219.
[12]	石学刚.民勤绿洲边缘新月形沙丘移动规律与环境因子的关系研究[D].兰州:甘肃农业大学,2017:20. SHI Xuegang. Study on movement regularity of barchan dunes and its relationship with environment factors along the oasis fringe in Minqin[D]. Lanzhou:Gansu Agricultural University, 2017:20.
[13]	王静璞,王光镇,韩柳,等.毛乌素沙地不同固沙措施下沙丘的移动特征[J].甘肃农业大学学报, 2017, 52(2):54. WANG Jingpu, WANG Guangzhen, HAN Liu, et al. Barchan dunes movement of different sand fixation measures in Mu Us Sandy Land[J]. Journal of Gansu Agricultural University, 2017,52(2):54.
[14]	严应存,高贵生,刘宝康,等.青海湖周边地区沙丘移动监测及其气候驱动力分析[J].中国沙漠, 2009, 29(4):617. YAN Yingcun, GAO Guisheng, LIU Baokang, et al. Monitoring of aeolian dunes movement in surrounding Qinghai Lake Areas and climate-driven forces analysis[J]. Journal of Desert Research, 2009,29(4):617.
[15]	潘凯佳,张正偲,梁爱民.反向沙丘近地层气流变化及其对沙丘形态的影响[J].中国沙漠, 2021, 41(2):1. PAN Kaijia, ZHANG Zhengsi, LIANG Aimin. The characteristics of inner boundary layer airflow over reversing dunes and its effect on dune morphological evolution[J]. Journal of Desert Research, 2021,41(2):1.
[16]	ZHANG Huiwen, WU Zhen, HU Jing, et al. Numerical simulation of wind field and sand flux in crescentic sand dunes[J]. Scientific Reports, 2021,11(1).
[17]	王宁波,李生宇,王海峰,等.塔克拉玛干沙漠腹地垄间地上覆沙丘形态的空间变化特征及其成因[J].干旱区地理, 2014, 37(1):89. WANG Ningbo, LI Shengyu, WANG Haifeng, et al. Spatial variation and formation mechanism of dune morphology in the dominant wind direction on interdune corridors of complex ridges in central Taklimakan Desert[J]. Arid Land Geography, 2014,37(1):89.
[18]	余沛东,陈银萍,李玉强,等.植被盖度对沙丘风沙流结构及风蚀量的影响[J].中国沙漠, 2019, 39(5):29. YU Peidong, CHEN Yinping, LI Yuqiang, et al. Influence of vegetation coverage on sand flow structure and wind erosion yield with wind tunnel experiment as a case[J]. Journal of Desert Research, 2019,39(5):29.
[19]	秦海琴,张萍,展秀丽,等.宁夏河东沙地沙丘冻融过程的时空差异[J].冰川冻土, 2020, 42(3):909. QIN Haiqin, ZHANG Ping, ZHAN Xiuli, et al. Spatial and temporal differences of freeze-thaw processes on dunes in the east desert of the Yellow River in Ningxia[J]. Journal of Glaciology and Geocryology, 2020, 42(3):909.
[20]	宋超,余琦殷,王瑞霞,等.基于植被覆盖度的宁夏灵武白芨滩自然保护区防风固沙功能时空变化研究[J].生态学报, 2021, 41(8):3131. SONG Chao, YU Qiyin, WANG Ruixia, et al. Spatiotemporal variation of windbreak and sand fixation functions based on vegetation coverage in Baijitan National Nature Reserve, Ningxia[J]. Acta Ecologica Sinica, 2021,41(8):3131.
[21]	肖涛.基于高分辨率遥感影像的沙丘形态及演变特征研究:以响水河中游右岸沙丘群为例[D].长沙:湖南师范大学,2017:24. XIAO Tao. A study of dune morphology and its evolution based on high resolution remote sensing data:An example fr om dunes in the right flank of Xiangshui River middle reaches[D]. Changsha:Hunan Normal University, 2017:24.
[22]	刘建宝,王乃昂,程弘毅,等.沙丘沙休止角影响因素实验研究[J].中国沙漠, 2010, 30(4):758. LIU Jianbao, WANG Naiang, CHENG Hongyi, et al. Influencing factors of repose angle of sand dunes:An experiment[J]. Journal of Desert Research, 2010,30(4):758.
[23]	庞营军,吴波,贾晓红,等.毛乌素沙地风况及输沙势特征[J].中国沙漠, 2019, 39(1):62. PANG Yingjun, WU Bo, JIA Xiaohong, et al. Characteristics of wind regime and drift potential in Mu Us Sandy Land[J]. Journal of Desert Research, 2019,39(1):62.
[24]	赵纳祺.乌兰布和沙漠沿黄段冻结对沙丘坡面风积沙运移特征影响[D].呼和浩特:内蒙古农业大学,2018:36. ZHAO Naqi. Effects of freezing on migration characteristics of aeolian sand in sand dune along bank of Yellow River in Ulan Buh Desert[D]. Hohhot:Inner Mongolia Agricultural University, 2018:36.
[25]	秦海琴,展秀丽,张萍.宁夏白芨滩固定沙丘浅层土壤水分时空变异[J].云南农业大学学报(自然科学), 2020, 35(1):156. QIN Haiqin, ZHAN Xiuli, ZHANG Ping. Temporal and spatial variation of soil moisture in the shallow dune fixed on Baijitan in Ningxia[J]. Journal of Yunnan Agricultural University (Natural Science), 2020,35(1):156.