基于K-means聚类层次分析模型的中沙环礁地质环境稳定性定量分析

doi:10.11978/2022072

Abstract

Abstract:

The Zhongsha Atoll is in the center of the South China Sea, and is a key location that connects the Dongsha, Xisha and Nansha Islands. This paper is based on the survey data of the Zhongsha Atoll topography, geological sampling, and multi-channel seismic profiles. We selected five influencing factors of water depth, sediment type, structural distance, landslide-prone area, and slope, and used the K-means clustering algorithm and analytic hierarchy process method to quantitatively analyze the stability of the Zhongsha Atoll. The study area was divided into five grades of stability: good, fair, medium, poor, and worse. We discussed the influence of different factors affecting the stability of Zhongsha Atoll. The deposition type, slope, and water depth are the main factors that affect the stability of the platform. The slope’s stability around the platform is mainly controlled by the factors such as slope, structure, and landslide-prone areas. However, the slope factor in the deep-water area outside the slope around the platform has the largest contribution. Overall, the stability of the north and west of the atoll is better than the east and south, in addition, the stability of the platform and the deep-water area outside the slope around the platform is the best. The evaluation results can provide basic geological services for development and planning, submarine pipeline engineering, disaster prevention and mitigation in the study area.

Key words: Zhongsha atoll, geological environment, stability, K-means clustering algorithm

QIN Maogang, LONG Genyuan, LI Haiyun, HUANG Haibo, CHEN Wanli, CHEN Wen. Quantitative analysis of geological environment stability of the Zhongsha Atoll based on K-means clustering AHP model[J].Journal of Tropical Oceanography, 2023, 42(2): 113-123.

Figures/Tables 10

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References 27

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	水深	坡度	构造缓冲区	滑坡易发区缓冲区	底质类型分区
水深	/	/	/	/	/
坡度	0.079	/	/	/	/
构造缓冲区	0.236	0.074	/	/	/
滑坡易发区缓冲区	0.009	0.000	0.071	/	/
底质类型分区	-0.063	-0.062	-0.031	-0.046	/

标度值	含义
1	B₂与B₁同等重要
3	B₂比B₁稍微重要
5	B₂比B₁明显重要
7	B₂比B₁强烈重要
9	B₂比B₁极端重要
2, 4, 6, 8	分别表示相邻数字判断的中值

影响因子	因子权重	级别	级别权重	组合权重	影响因子	因子权重	级别	级别权重	组合权重
3	0.0775	0~172	0.0699	0.0054	滑坡易发区	0.2459	易滑区	0.3267	0.0803
		172~1563	0.2905	0.0225			0~3170	0.2273	0.0559
		1563~2501	0.2596	0.0201			3170~9503	0.1568	0.0386
		2501~3258	0.2150	0.0167			9503~16413	0.1077	0.0265
		3258~4149	0.1030	0.0080			16413~24583	0.0734	0.0180
		4149~4314	0.0620	0.0048			24583~34471	0.0498	0.0122
沉积物类型	0.0675	砾质沉积	0.4889	0.0330			34471~48641	0.0340	0.0084
		砂质沉积	0.3079	0.0208			48641~64776	0.0243	0.0060
		粉砂沉积	0.1531	0.0103	坡度	0.5142	0~0.97	0.0318	0.0164
		泥质沉积	0.0501	0.0034			0.97~5.08	0.0462	0.0238
构造	0.0949	0~2233	0.3503	0.0332			5.08~10.44	0.0697	0.0358
		2233~6975	0.2375	0.0225			10.44~16.85	0.1056	0.0543
		6975~12817	0.1590	0.0151			16.85~25.19	0.1589	0.0817
		12817~18981	0.1056	0.0100			25.19~39.59	0.2375	0.1221
		18981~25932	0.0697	0.0066			39.59~62.89	0.3503	0.1801
		25932~34336	0.0462	0.0044
		34336~50247	0.0317	0.0030

稳定程度	稳定性好	稳定性较好	稳定性中等	稳定性较差	稳定性差
分值	0.336~0.758	0.758~1.120	1.120~1.553	1.553~2.092	2.092~3.491
面积/km²	11672	12549	7011	5618	2035
占比/%	30	32	18	14	6

Quantitative analysis of geological environment stability of the Zhongsha Atoll based on K-means clustering AHP model

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