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

热带海洋学报 ›› 2023, Vol. 42 ›› Issue (2): 113-123.doi: 10.11978/2022072CSTR: 32234.14.2022072

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

覃茂刚¹^,²(), 龙根元¹^,²(), 李海云¹^,², 黄海波³, 陈万利⁴, 陈文²

1.海南省海洋地质资源与环境重点实验室, 海南海口 570206
2.海南省海洋地质调查研究院, 海南海口 570206
3.中国科学院南海海洋研究所(中国科学院边缘海与大洋地质重点实验室), 广东广州 511458
4.中国科学院深海科学与工程研究所, 海南三亚 572000

收稿日期:2022-04-08 修回日期:2022-05-31 出版日期:2023-03-10 发布日期:2022-06-16
通讯作者: 龙根元。email: genyuanl203@163.com
作者简介:
覃茂刚(1986—), 男, 海南省琼海市人, 高级工程师, 主要从事水工环地质和海洋环境地质研究工作。email: 275522601@qq.com
基金资助:
海南省海洋地质资源与环境重点实验室开放课题项目(HNHYDZZYHJKF003); 南海地质构造研究项目(T100731); 国家自然科学基金项目(42176081); 国家自然科学基金项目(42174110); 南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0204); 海南省自然科学基金联合项目(2021JJLH0047)

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

QIN Maogang¹^,²(), LONG Genyuan¹^,²(), LI Haiyun¹^,², HUANG Haibo³, CHEN Wanli⁴, CHEN Wen²

1. Hainan Key Laboratory of Marine Geological Resources and Environment, Haikou 570206, China
2. Marine Geological Institute of Hainan Province, Haikou 570206, China
3. Key Laboratory of Ocean and Marginal Sea Geology (South China Sea Institute of Oceanology), Guangzhou 511458, China
4. Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China

Received:2022-04-08 Revised:2022-05-31 Online:2023-03-10 Published:2022-06-16
Contact: LONG Genyuan. email: genyuanl203@163.com
Supported by:
Open Project of Hainan Key Laboratory of Marine Geological Resources and Environment(HNHYDZZYHJKF003); Geological Tectonic research of South China sea(T100731); Natural Science Foundation of China(42176081); Natural Science Foundation of China(42174110); Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(GML2019ZD0204); Hainan Provincial Natural Science Foundation of China(2021JJLH0047)

摘要/Abstract

摘要：

中沙环礁位于中国南海的中心地带, 是连接东沙、西沙和南沙群岛的重要枢纽。文章基于中沙环礁地形、地质采样、多道地震等调查数据, 选取水深、沉积物类型、构造、滑坡易发区和坡度5个影响因子, 采用K均值聚类算法(K-means)和层次分析法对中沙环礁的稳定性进行定量分析, 将研究区划分为稳定性好、较好、中等、较差、差5个等级。分析了不同因子对中沙环礁稳定性的影响, 其中沉积物类型、坡度和水深是影响台地稳定性的主要因素。台地周缘斜坡区稳定性主要受坡度、断裂构造和滑坡易发区等因素的控制, 而台地周缘斜坡外深水区坡度因子贡献最大, 整体上环礁北部和西部的稳定性优于东部和南部。环礁台地和台地周缘斜坡外深水区稳定性最好, 越靠近台地斜坡稳定性逐渐变差, 台地斜坡上缘区域稳定性最差。评价结果可为研究区的开发规划、海底管线工程建设及防灾减灾提供基础地质服务。

关键词: 中沙环礁, 地质环境, 稳定性, K均值聚类算法

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

覃茂刚, 龙根元, 李海云, 黄海波, 陈万利, 陈文. 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[J]. 热带海洋学报, 2023, 42(2): 113-123.

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.

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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

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

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

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