|Table of Contents|

3D Classification and Evaluation of Underground Space Geological Environment Quality Based on SOM and K-means Algorithm(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2023年第04期
Page:
929-940
Research Field:
环境与可持续发展专刊
Publishing date:

Info

Title:
3D Classification and Evaluation of Underground Space Geological Environment Quality Based on SOM and K-means Algorithm
Author(s):
XIONG Yun-ying1; 2;  LI Xiao-hui1; 2*;  YUAN Feng1; 2;  LU Zhi-tang1;  WU Shao-yuan3;  DOU Fan-fan1; 2
(1. School of Resources and Environment Engineering, Hefei University of Technology, Hefei 230009, Anhui, China; 2. Anhui Province Engineering Research Center for Mineral Resources and Mine Environments, Hefei University of Technology, Hefei 230009, Anhui, China; 3. Xiamen Institute of Geological Engineering, Xiamen 361008, Fujian, China)
Keywords:
geological environment quality evaluation;  underground space;  SOM;  K-means algorithm;  cluster analysis;  geological modeling;  Fujian
PACS:
X141; P642
DOI:
-
Abstract:
With the vigorous development of 3D geological information technology, many 3D comprehensive evaluation studies have been conducted on underground space geological environment quality, but the evaluation results are slightly insufficient for planning and construction suggestions. The main reason is that the evaluation process is subjective, comprehensive evaluation results are difficult to fully express the true category of geological environment, and it is difficult to pay attention to unfavorable geological environment conditions that require more attention. In response to the above issues, the self-organizing map(SOM)and K-means algorithm were used to classify and study 3D evaluation information of underground space geological environment quality. Taking the south bank of Maluan bay new city in Xiamen city, Fujian province as an example, 3D evaluation index factors were extracted based on 3D spatial analysis method, and 3D evaluation of underground space geological environment quality was carried out based on SOM and K-means algorithm. Finally, the geological environment category and dominant factors obtained from the evaluation were used to propose planning and construction suggestions. The results show that the evaluation method based on SOM and K-means algorithm can effectively mine hidden information in multi-dimensional and multi-source geological data, identify key distinguishing factors, and provide new ideas and methods for the evaluation of underground space geological environment quality.

References:

[1] 彭芳乐,乔永康,程光华,等.我国城市地下空间规划现状、问题与对策[J].地学前缘,2019,26(3):57-68.
PENG Fang-le,QIAO Yong-kang,CHENG Guang-hua,et al.Current Situation and Existing Problems and Coping Strategies for Urban Underground Space Planning in China[J].Earth Science Frontiers,2019,26(3):57-68.
[2] LIN D,BROERE W,CUI J Q.Underground Space Utilization and New Town Development:Experiences,Lessons and Implications[J].Tunnelling and Underground Space Technology,2022,119:104204.
[3] ZHANG M D,XIE Z,HE L.Does the Scarcity of Urban Space Resources Make the Quality of Underground Space Planning More Sustainable?A Case Study of 40 Urban Underground Space Master Plans in China[J].Frontiers in Environmental Science,2022,10:966157.
[4] 王守智.我国地下空间开发利用的“公益优先”原则探析[J].中国土地,2022(2):14-17.
WANG Shou-zhi.On the Principle of “Public Welfare Priority” in the Development and Utilization of Underground Space in China[J].Chind Land,2022(2):14-17.
[5] 李晓昭,王 睿,顾 倩,等.城市地下空间开发的战略需求[J].地学前缘,2019,26(3):32-38.
LI Xiao-zhao,WANG Rui,GU Qian,et al.Prediction of Strategic Demand of Urban Underground Space Development[J].Earth Science Frontiers,2019,26(3):32-38.
[6] 黄宏伟.隧道及地下工程建设中的风险管理研究进展[J].地下空间与工程学报,2006,2(1):13-20.
HUANG Hong-wei.State of the Art of the Research on Risk Management in Construction of Tunnel and Underground Works[J].Chinese Journal of Underground Space and Engineering,2006,2(1):13-20.
[7] 王松泉,李 友.地下空间开发地质环境质量评价指标体系研究[J].绿色科技,2021,23(14):173-176.
WANG Song-quan,LI You.Research on Evaluation Index System of Geological Environment Quality for Underground Space Development[J].Journal of Green Science and Technology,2021,23(14):173-176.
[8] LI X Z,LI C C,AURELE P,et al.Multiple Resources and Their Sustainable Development in Urban Underground Space[J].Tunnelling and Underground Space Technology,2016,55:59-66.
[9] 杨晓刚,王 睿,黄伟亮.基于国内典型城市对比的地下空间开发利用现状及问题分析[J].地学前缘,2019,26(3):69-75.
YANG Xiao-gang,WANG Rui,HUANG Wei-liang.Status and Challenges of Underground Space Deve-lopment and Utilization in China Based on Comparative Analysis of Typical Chinese Cities[J].Earth Science Frontiers,2019,26(3):69-75.
[10] 王永立.天津市中心城区地下空间资源评价[J].地球科学与环境学报,2008,30(2):166-171.
WANG Yong-li.Underground Space Resource Evaluation at Central Urban District of Tianjin City[J].Journal of Earth Sciences and Environment,2008,30(2):166-171.
[11] 奚 悦,张万斌,李培楠,等.城市地下空间资源质量三维精细化评价[J].浙江大学学报(工学版),2022,56(4):656-663,710.
XI Yue,ZHANG Wan-bin,LI Pei-nan,et al.Three-dimensional High-resolution Evaluation of Urban Underground Space Resource Quality[J].Journal of Zhejiang University(Engineering Science),2022,56(4):656-663,710.
[12] XI Y,LI X J,ZHU H H,et al.Three-dimensional High-precision Assessment of Mountainous Urban Underground Space Resources:A Case Study in Chongqing,China[J].Tunnelling and Underground Space Technology,2022,123(5):104439.
[13] 叶 菁,侯卫生,邓东成,等.基于可变模糊集的城市地下空间资源三维质量评价[J].资源科学,2016,38(11):2147-2156.
YE Jing,HOU Wei-sheng,DENG Dong-cheng,et al.3D Quality Assessment for Urban Underground Spa-ce Resources Based on Variable Fuzzy Set[J].Resour-ces Science,2016,38(11):2147-2156.
[14] 郝英红,李晓晖,陈忠良,等.城市地下空间开发地质环境质量三维评价方法研究:以合肥市滨湖新区为例[J].地理与地理信息科学,2021,37(1):11-16.
HAO Ying-hong,LI Xiao-hui,CHEN Zhong-liang,et al.Study on 3D Evaluation Method of Geological Environment Quality for Urban Underground Space Development:A Case Study of Binhu New District,Hefei City[J].Geography and Geo-information Scien-ce,2021,37(1):11-16.
[15] HOU W S,YANG L,DENG D C,et al.Assessing Qua-lity of Urban Underground Spaces by Coupling 3D Geological Models:The Case Study of Foshan City,South China[J].Computers & Geosciences,2016,89:1-11.
[16] DOU F F,LI X H,XING H X,et al.3D Geological Suitability Evaluation for Urban Underground Space Development:A Case Study of Qianjiang Newtown in Hangzhou,Eastern China[J].Tunnelling and Underground Space Technology,2021,115:104052.
[17] 李 旭.基于GIS的城市地下空间资源开发适宜性评价[D].大连:大连理工大学,2020.
LI Xu.Evaluation of the Suitability for Urban Underground Space Resources Development Using GIS[D].Dalian:Dalian University of Technology,2020.
[18] 蒋 杰.杭州市钱塘新区地下空间开发地质适宜性评价[D].北京:中国地质科学院,2021.
JIANG Jie.Evaluation on Geological Suitability of Underground Space Development in Qiantang New Area,Hangzhou City[D].Beijing:Chinese Academy of Geological Sciences,2021.
[19] LAN H X,LIU X,LI L P,et al.Remote Sensing Precursors Analysis for Giant Landslides[J].Remote Sensing,2022,14(17):4399.
[20] LAN H X,ZHOU C H,WANG L J,et al.Landslide Hazard Spatial Analysis and Prediction Using GIS in the Xiaojiang Watershed,Yunnan,China[J].Engineering Geology,2004,76(1/2):109-128.
[21] 窦 杰,向子林,许 强,等.机器学习在滑坡智能防灾减灾中的应用与发展趋势[J].地球科学,2023,48(5):1657-1674.
DOU Jie,XIANG Zi-lin,XU Qiang,et al.Application and Development Trend of Machine Learning in Land-slide Intelligent Disaster Prevention and Mitigation[J].Earth Science,2023,48(5):1657-1674.
[22] 殷 锋,曹 旭,漆翔宇.基于聚类的推荐算法综述[J].西南民族大学学报(自然科学版),2021,47(3):303-309.
YIN Feng,CAO Xu,QI Xiang-yu.Review of Clustering-based Recommendation Algorithms[J].Journal of Southwest Minzu University(Natural Science Edition),2021,47(3):303-309.
[23] SANTOS M R,ROISENBERG A,IWASHITA F,et al.Hydrogeochemical Spatialization and Controls of the Serra Geral Aquifer System in Southern Brazil:A Regional Approach by Self-organizing Maps and K-means Clustering[J].Journal of Hydrology,2020,591:125602.
[24] 黄燕鹏,汪远昊,王 超,等.基于自组织神经网络和K-means的场地地下水污染特征分析与分区管控研究[J].环境工程,2022,40(6):31-41,47.
HUANG Yan-peng,WANG Yuan-hao,WANG Chao,et al.Characteristics Analysis and Zoning Control of Groundwater Pollution Based on Self-organizing Maps and K-means[J].Environmental Engineering,2022,40(6):31-41,47.
[25] BRENTAN B,MEIRELLES G,LUVIZOTTO E J,et al.Hybrid SOM+K-means Clustering to Improve Planning,Operation and Management in Water Distribution Systems[J].Environmental Modelling & Software,2018,106(8):77-88.
[26] 周 红,林 孟,陈江畅.基于GIS和SWMM的城市雨洪模型构建模拟与效益评价:以厦门市马銮湾片区为例[J].现代城市研究,2020,35(12):112-119.
ZHOU Hong,LIN Meng,CHEN Jiang-chang.Simulation and Benefit Evaluation of Urban Rain Flood Model Based on GIS and SWMM:A Case Study of Maluan Bay Area in Amoy[J].Modern Urban Resear-ch,2020,35(12):112-119.
[27] 黄建南.厦门地下空间开发利用规划与岩土工程研究[D].北京:北京工业大学,2009.
HUANG Jian-nan.Research of Plan About Development and Ultizalition of Underground Space and Geo-technical Engineering in Xiamen City[D].Beijing:Beijing University of Technology,2009.
[28] 丁晟平,崔胜辉,徐礼来,等.1957～2019年厦门市马銮湾海岸线和围填海时空演变及互动关系分析[J].应用海洋学学报,2021,40(2):260-270.
DING Sheng-ping,CUI Sheng-hui,XU Li-lai,et al.Spatial-temporal Evolution and Interaction of Shoreline and Sea Reclamation Around Maluan Bay of Xiamen from 1957 to 2019[J].Journal of Applied Oceanography,2021,40(2):260-270.
[29] GB/T 51358—2019,城市地下空间规划标准[S].
GB/T 51358—2019,Standard for Urban Undergrou-nd Space Planning[S].
[30] 彭建兵,黄伟亮,王飞永,等.中国城市地下空间地质结构分类与地质调查方法[J].地学前缘,2019,26(3):9-21.
PENG Jian-bing,HUANG Wei-liang,WANG Fei-yong,et al.Geological Structural Classification of and Geological Survey Method for Urban Underground Space in China[J].Earth Science Frontiers,2019,26(3):9-21.
[31] TONG F,TAN F,MA B,et al.A Suitability Evaluation Method of Urban Underground Space Based on Rough Set Theory and Conditional Entropy:A Case Study in Wuhan Changjiang New Town[J].Applied Sciences Basel,2022,12(3):1347.
[32] 花卫华.多约束下复杂地质模型快速构建与定量分析[D].武汉:中国地质大学,2010.
HUA Wei-hua.Rapid Modeling and Quantitative Ana-lysis of the Complex Geological Bodies with Multi-constraint[D].Wuhan:China University of Geoscien-ces,2010.
[33] 梁 栋,花卫华,赵亚博,等.一种基于地层相关结构约束的地质模型修正方法[J].地球科学,2021,DOI:10.3799/dqkx.2021.139.
LIANG Dong,HUA Wei-hua,ZHAO Ya-bo,et al.Error Correction in Geological Model Based on Stratigraphic Interdependency[J].Earth Science,2021,DOI:10.3799/dqkx.2021.139.
[34] 窦帆帆,李晓晖,袁 峰,等.地下空间地质适宜性三维评价系统设计与应用[J].地下空间与工程学报,2021,17(增2):529-535,574.
DOU Fan-fan,LI Xiao-hui,YUAN Feng,et al.Deve-lopment and Application of 3D Geological Suitability Evaluation System for Underground Space[J].Chinese Journal of Underground Space and Engineering,2021,17(S2):529-535,574.
[35] KOHONEN T.The Self-organizing Map[J].Proceedings of the IEEE,1990,78(9):1464-1480.
[36] MARINAI S,FAINI S,MARINO E,et al.Efficient Word Retrieval by Means of SOM Clustering and PCA[M]∥BUNKE H,SPITZ A L.Document Analysis Systems Ⅶ.DAS 2006 Lecture Notes in Computer Science.Berlin:Springer,2006:336-347.
[37] ASTEL A,TSAKOVSKI S,BARBIERI P,et al.Com-parison of Self-organizing Maps Classification Approach with Cluster and Principal Components Analysis for Large Environmental Data Sets[J].Water Research,2007,41(19):4566-4578.
[38] 任婷玉,梁中耀,陈会丽,等.基于模式识别方法的湖泊水质污染特征聚类研究[J].北京大学学报(自然科学版),2019,55(2):335-341.
REN Ting-yu,LIANG Zhong-yao,CHEN Hui-li,et al.Clustering of Lake Variables Based on Pattern Recognition Method[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2019,55(2):335-341.
[39] HAN J W,KAMBER M,PEI J.数据挖掘概念与技术[M].范 明,孟小峰,译.北京:机械工业出版社,2007.
HAN J W,KAMBER M,PEI J.Data Mining Concepts and Technologies[M].Translated by FAN Ming,MENG Xiao-feng.Beijing:China Machine Press,2007.
[40] DAVIES D L,BOULDIN D W.A Cluster Separation Measure[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1979(2):224-227.
[41] VESANTO J.SOM-based Data Visualization Methods[J].Intelligent Data Analysis,1999,3(2):111-126.
[42] 吴少元.基于三维单元模型的地下空间地质适宜性评价[J].人民长江,2022,53(12):111-117.
WU Shao-yuan.Geological Suitability Evaluation of Underground Space Based on Three-dimensional Element Model[J].Yangtze River,2022,53(12):111-117.

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Last Update: 2023-06-20