陕西省志丹县黄土滑坡空间分布规律与形态特征研究

doi:10.13686/j.cnki.dzyzy.2022.02.012

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (932 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The spatial distribution and morphological characteristics of landslides can reflect their development degree and provide a basis for landslide prevention in the region. Taking the loess landslide in Zhidan County as the study object, the nearest neighbor index (NNI) and kernel density estimation (KDE) are selected based on GIS to analyze the spatial distribution regularity of landslide. The morphological characteristics of landslide are studied through statistical analysis. The results show that the INNI value of the study area is about 0.177, with aggregated distribution of landslide in space. The maximum KDE value distributes in the slopes on both sides of Zhouhe River in belts with multiple high-density areas. The calculated landslide area density and point density are 0.26% and 0.19 per square kilometer respectively. The slope gradients of landslide are generally above 70°, the aspects mainly concentrated in south and southeast, and the slope heights mostly below 40 m. The landslide in the study area can be classified into three different morphological types by angle, height and geological environment characteristics through cluster analysis.

Key words： loess landslide spatial analysis GIS geological disaster Shaanxi Province

Received: 21 April 2021

PACS:

P642.2

Corresponding Authors: 孔嘉旭(1994-),男,博士,主要从事工程地质与黄土地质灾害等研究,通信地址陕西省西安市碑林区太白北路229号,E-mail//1052938693@qq.com E-mail: 1052938693@qq.com

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI De-shen
	HE Zhi-yuan
	KONG Jia-xu
	ZHAO Li
	WU Meng
	MU Jia-qi
	ZHENG Jia

Cite this article:

LI De-shen,HE Zhi-yuan,KONG Jia-xu等. SPATIAL DISTRIBUTION AND MORPHOLOGICAL CHARACTERISTICS OF LOESS LANDSLIDE IN ZHIDAN COUNTY, SHAANXI PROVINCE[J]. GEOLOGY AND RESOURCES, 2022, 31(2): 214-220.

URL:

http://manu25.magtech.com.cn/Jweb_dzyzy/EN/10.13686/j.cnki.dzyzy.2022.02.012 OR http://manu25.magtech.com.cn/Jweb_dzyzy/EN/Y2022/V31/I2/214

[1]	Xu Q. The 13 August 2010 catastrophic debris flows in Sichuan Province:Characteristics, genetic mechanism and suggestions[J]. Journal of Engineering Geology, 2010, 18(5):596-608.许强.四川省8·13特大泥石流灾害特点、成因与启示[J].工程地质学报, 2010, 18(5):596-608.
[2]	Huang R Q. Large-scale landslides and their sliding mechanisms in China since the 20th century[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(3):433-454.黄润秋. 20世纪以来中国的大型滑坡及其发生机制[J].岩石力学与工程学报, 2007, 26(3):433-454.
[3]	Nadim F, Kjekstad O, Peduzzi P, et al. Global landslide and avalanche hotspots[J]. Landslides, 2006, 3(2):159-173.
[4]	Xu Z J, Lin Z G, Zhang M S. Loess in China and loess landslides[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(7):1297-1312.徐张建,林在贯,张茂省.中国黄土与黄土滑坡[J].岩石力学与工程学报, 2007, 26(7):1297-1312.
[5]	Zhang M S, Li T L. Triggering factors and forming mechanism of loess landslides[J]. Journal of Engineering Geology, 2011, 19(4):530-540.张茂省,李同录.黄土滑坡诱发因素及其形成机理研究[J].工程地质学报, 2011, 19(4):530-540.
[6]	Zhang J W, Li X J, Chi M J, et al. Analysis of formation mechanism and characteristics of landslide disasters[J]. Journal of Natural Disasters, 2015, 24(6):42-49.张江伟,李小军,迟明杰,等.滑坡灾害的成因机制及其特征分析[J].自然灾害学报, 2015, 24(6):42-49.
[7]	Wang J D, Gu T F, Zhang M S, et al. Experimental study of loess disintegration characteristics[J]. Earth Surface Processes and Landforms, 2019, 44(6):1317-1329.
[8]	Peng J B, Lin H Z, Wang Q Y, et al. The critical issues and creative concepts in mitigation research of loess geological hazards[J]. Journal of Engineering Geology, 2014, 22(4):684-691.彭建兵,林鸿州,王启耀,等.黄土地质灾害研究中的关键问题与创新思路[J].工程地质学报, 2014, 22(4):684-691.
[9]	Xu L, Dai F C, Kwong A K L, et al. Analysis of some special engineering-geological problems of loess landslide[J]. Chinese Journal of Geotechnical Engineering, 2009, 31(2):287-293.许领,戴福初,邝国麟,等.黄土滑坡典型工程地质问题分析[J].岩土工程学报, 2009, 31(2):287-293.
[10]	Hu S, Qiu H J, Wang X G, et al. Acquiring high-resolution topography and performing spatial analysis of loess landslides by using low-cost UAVs[J]. Landslides, 2018, 15(3):593-612.
[11]	Meng H J. Digital classification of earthquake induced landslide based on geometry shape[D]. Beijing:University of Chinese Academy of Sciences, 2014.孟华君.基于几何形态的地震滑坡数字化分类研究[D].北京:中国科学院大学, 2014.
[12]	Wang J H, Wei Y J, Mei A S, et al. Multidimensional extraction of UAV tilt photography-based information of loess landslide and its application[J]. Geology in China, 2021, 48(2):388-401.王俊豪,魏云杰,梅傲霜,等.基于无人机倾斜摄影的黄土滑坡信息多维提取与应用分析[J].中国地质, 2021, 48(2):388-401.
[13]	Guzzetti F, Ardizzone F, Cardinali M, et al. Landslide volumes and landslide mobilization rates in Umbria, central Italy[J]. Earth and Planetary Science Letters, 2009, 279(3/4):222-229.
[14]	Xu C, Xu X W, Wu X Y, et al. Detailed catalog of landslides triggered by the 2008 Wenchuan earthquake and statistical analyses of their spatial distribution[J]. Journal of Engineering Geology, 2013, 21(1):25-44.许冲,徐锡伟,吴熙彦,等. 2008年汶川地震滑坡详细编目及其空间分布规律分析[J].工程地质学报, 2013, 21(1):25-44.
[15]	Guo C W, Huang Y D, Yao L K, et al. Size and spatial distribution of landslides induced by the 2015 Gorkha earthquake in the Bhote Koshi River watershed[J]. Journal of Mountain Science, 2017, 14(10):1938-1950.
[16]	Nseka D, Kakembo V, Bamutaze Y, et al. Analysis of topographic parameters underpinning landslide occurrence in Kigezi highlands of southwestern Uganda[J]. Natural Hazards, 2019, 99(2):973-989.
[17]	Yang W L, Qiu H J, Pei Y Q, et al. Evaluation of shallow loess landslide stability in typical loess hilly region:A case study of Zhidan County in Yan'an area of Shaanxi Province[J]. Quaternary Sciences, 2019, 39(2):408-419.杨文璐,邱海军,裴艳茜,等.典型黄土丘陵区浅层黄土滑坡稳定性评价——以延安市志丹县为例[J].第四纪研究, 2019, 39(2):408-419.
[18]	Liu P F. Study on the environmental change and geological disasters of the loess plateau region:Take the landslide of Yan'an as an example[D]. Xi'an:Chang'an University, 2010.刘朋飞.黄土高原地区环境变迁与地质灾害关系研究——以延安地区滑坡为例[D].西安:长安大学, 2010.
[19]	Li M, Du J W, Gao W Y. Study on the relationship between geological disasters and precipitation in the loess plateau in north Shaanxi Province[J]. Arid Zone Research, 2009, 26(4):599-606.李明,杜继稳,高维英.陕北黄土高原区地质灾害与降水关系[J].干旱区研究, 2009, 26(4):599-606.
[20]	Wang X S, Teng D G, Xie W, et al. Spatial distribution characteristics and influencing factors of landslide disasters in mountain cities[J]. Journal of Chongqing University, 2020, 43(8):87-96.王新胜,滕德贵,谢伟,等.山地城市滑坡灾害空间分布特征及影响因素分析[J].重庆大学学报, 2020, 43(8):87-96.
[21]	Dong C Y, Luo M L, Zhang B. Analysis of spatial pattern of Lushan aftershocks sequence[J]. The Chinese Journal of Geological Hazard and Control, 2014, 25(4):45-50.董丞妍,罗明良,张斌.四川芦山余震序列空间格局分析[J].中国地质灾害与防治学报, 2014, 25(4):45-50.
[22]	Qiu H J, Cui Y F, Hu S, et al. Temporal and spatial distributions of landslides in the Qinba Mountains, Shaanxi Province, China[J]. Geomatics, Natural Hazards and Risk, 2019, 10(1):599-621.
[23]	Zhang S R, Jiang J J, Miao Y M, et al. Application of the SBAS technique in potential landslide identification in the Minjiang watershed[J]. Mountain Research, 2018, 36(1):91-97.张诗茄,蒋建军,缪亚敏,等.基于SBAS技术的岷江流域潜在滑坡识别[J].山地学报, 2018, 36(1):91-97.
[24]	Xu L, Dai F C. Statistical analysis of the characteristic parameters of loess landslides at the South Jingyang Plateau[J]. Hydrogeology& Engineering Geology, 2008, 35(5):28-32.许领,戴福初.泾阳南塬黄土滑坡特征参数统计分析[J].水文地质工程地质, 2008, 35(5):28-32.
[25]	Gui L, Yin K L, Wang J J. Landslide hazard zonation based on cluster analysis[J]. Hydrogeology& Engineering Geology, 2013, 40(1):100-105.桂蕾,殷坤龙,王佳佳.基于聚类分析的滑坡灾害危险性区划研究[J].水文地质工程地质, 2013, 40(1):100-105.
[26]	He Y H, Zhang D S, Li Y T, et al. Research on landslide characteristics in the main stream area of the Yellow River upper reaches based on clustering[J]. Geospatial Information, 2017, 15(11):60-64.何玉花,张东水,李燕婷,等.基于聚类的黄河上游干流地区滑坡特征研究[J].地理空间信息, 2017, 15(11):60-64.
[27]	Melchiorre C, Matteucci M, Azzoni A, et al. Artificial neural networks and cluster analysis in landslide susceptibility zonation[J]. Geomorphology, 2008, 94(3/4):379-400.
[28]	Fan X Y, Hu X B, Zhang R X, et al. Study on the open topography influence on the moving distances of landslides[J]. Journal of Natural Disasters, 2018, 27(5):188-196.樊晓一,胡晓波,张睿骁,等.开阔型地形条件对滑坡运动距离的影响研究[J].自然灾害学报, 2018, 27(5):188-196.
[29]	Wang H, Pan D H, Jin Y C. Contributing rate of slope gradient to landslide growth in Qianjiang District of Chongqing[J]. Journal of Chongqing Jiaotong University (Natural Science), 2014, 33(5):81-84.王欢,潘代洪,靳艳彩.重庆黔江区斜坡坡度对滑坡发育的贡献率[J].重庆交通大学学报(自然科学版), 2014, 33(5):81-84.
[30]	Wu C Y, Qiao J P, Wang M. Landslides and slope aspect in the three gorges reservoir area based on GIS and information value model[J]. Wuhan University Journal of Natural Sciences, 2006, 11(4):773-779.
[31]	Zeng R Q, Meng X M, Zhang F Y, et al. Characterizing hydrological processes on loess slopes using electrical resistivity tomography:A case study of the Heifangtai Terrace, Northwest China[J]. Journal of Hydrology, 2016, 541:742-753.