Prevention and control of land subsidence in the Red River Delta of Vietnam

LIN Jinxin; WU Jianzhong; ZHAO Qing

doi:10.16028/j.1009-2722.2025.029

2025 Vol. 41, No. 4

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LIN Jinxin, WU Jianzhong, ZHAO Qing. Prevention and control of land subsidence in the Red River Delta of Vietnam[J]. Marine Geology Frontiers, 2025, 41(4): 27-36. doi: 10.16028/j.1009-2722.2025.029

Citation:

LIN Jinxin, WU Jianzhong, ZHAO Qing. Prevention and control of land subsidence in the Red River Delta of Vietnam[J]. Marine Geology Frontiers, 2025, 41(4): 27-36. doi: 10.16028/j.1009-2722.2025.029

Prevention and control of land subsidence in the Red River Delta of Vietnam

1.
Shanghai Institute of Natural Resources Investigation and Utilization, Shanghai 200072, China
2.
Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Natural Resources, Shanghai 200072, China
3.
Center for Land Subsidence of China Geological Survey, Shanghai 200072, China
4.
Shanghai Engineering Research Center of Land Subsidence, Shanghai 200072, China
5.
School of Geographic Sciences, East China Normal University, Shanghai 200241, China

Received Date: 07 February 2025

Publish Date: 28 April 2025

Abstract

Abstract

At present, the vast majority of urbanized regions in the world have ground subsidence to varying degrees, which affects the geological safety and sustainable development of local areas, particularly in low-altitude river delta areas. The Red River delta in Vietnam was selected for this study, and InSAR technology was used to extract information of land subsidence from April 2016 to September 2021. The spatial distribution patterns of differentiated development in the whole study area especially heavily suffered areas were presented. By reviewing available information, the geological background of land subsidence, inducive factors, and damages in the study area were explored, and comprehensively compared with the Changjiang (Yangtze) River delta of China based. Based on our experiences, the prevention and control countermeasures were proposed for the Vietnamese case, including to strengthen the field investigation and build three-dimensional monitoring systems in a multi-disciplinary cooperation manner. This study provided a guidance for effective prevention and control of land subsidence in the study area and other similar deltaic areas.
- land subsidence /
- groundwater /
- Vietnam /
- Red River Delta /
- InSAR

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References

[1]	利国,徐绍丽,张训常. 越南[M]. 北京:社会科学文献出版社,2015. Google Scholar LI G,XU S L,ZHANG X C. Viet Nam[M]. Beijing:Social Sciences Academic Presss,2015. Google Scholar
[2]	余富兆. 越南经济社会地理[M]. 广州:世界图书出版广东有限公司,2019. Google Scholar YU F Z. Economic and Social Geography of Vietnam[M]. Guangzhou:World Publishing Co. ,Ltd,2019. Google Scholar
[3]	GERARDO H G,PABLO E,ROBERTO T,et al. Mapping the global threat of land subsidence[J]. Science,2021,371(6524):34-36. Google Scholar
[4]	刘杜娟,叶银灿. 长江三角洲地区的相对海平面上升与地面沉降[J]. 地质灾害与环境保护,2005,16(4):400-404. Google Scholar LIU D J,YE Y C. Relative sea surface rise and land subsidence in Changjiang Delta area[J]. Journal of Geological Hazards and Environment Preservation,2005,16(4):400-404. Google Scholar
[5]	TRAN V A,SHINJI M,VENKATESH R,et al. Spatial distribution of subsidence in Hanoi detected by JERS-1 SAR interferometry[J]. Geoinformatics,2007,18(1):3-13. Google Scholar
[6]	AXEL R F,CATALIN S,KAY S,et al. Soil aquifer treatment as a tool for sustainable groundwater use in Hanoi/Vietnam[J]. Journal of Environmental Protection,2011,2(7):882-887. doi: 10.4236/jep.2011.27100 CrossRef Google Scholar
[7]	DANG V K,DOUBRE C,WEBER C,et al. Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data[J]. Natural Hazards and Earth System Sciences,2014,14(3):657-674. doi: 10.5194/nhess-14-657-2014 CrossRef Google Scholar
[8]	THINH H P,LUDMILA A S. Prediction maps of land subsidence caused by groundwater exploitation in Hanoi,Vietnam[J]. Resource-Efficient Technologies,2015,1(2):80-89. doi: 10.1016/j.reffit.2015.09.001 CrossRef Google Scholar
[9]	TUAN S L,CHUNGPAI C,XUAN T N,et al. TerraSAR-X data for high-precision land subsidence monitoring:a case study in the historical centre of Hanoi,Vietnam[J]. Remote Sensing,2016,338(8):1-23. Google Scholar
[10]	GIAO P H,HUE V T,HAN N D,et al. Land subsidence prediction for a new urban mass rapid transit line in Hanoi[J]. Underground Space,2018,5(2):93-104. Google Scholar
[11]	NGUYEN D A,TRAN Q C,TRAN V A,et al. Application TerraSAR-X data for studying land subsidence in Hanoi City[J]. Vietnam Journal of Earth Sciences,2019,41(4):339-357. doi: 10.15625/0866-7187/41/4/14236 CrossRef Google Scholar
[12]	DINH X V. On the influence of the soil and groundwater to the subsidence of houses in Van Quan,Hanoi[J]. VNU Journal of Science:Earth and Environmental Sciences,2020,36(4):42-51. Google Scholar
[13]	LUYEN K B,PHONG V V L,PHUONG D D,et al. Recent land deformation detected by Sentinel-1A InSAR data (2016-2020) over Hanoi,Vietnam,and the relationship with groundwater level change[J]. GIScience & Remote Sensing,2021,58(2):161-179. Google Scholar
[14]	杜平明. 河内市Tran Hung Dao站降水对地面沉降的影响研究[D]. 北京:中国地质大学(北京),2018. Google Scholar DU P M. Study on the influence of dewatering at Hanoi Tran Hung Dao station on land subsidence[D]. Beijing:China University of Geosciences (Beijing),2018. Google Scholar
[15]	林金鑫. 中国上海与越南河内地面沉降发育背景对比研究[J]. 上海国土资源,2022,43(2):84-88. doi: 10.3969/j.issn.2095-1329.2022.02.015 CrossRef Google Scholar LIN J X. Comparative study on development background of land subsidence between Shanghai,China and Hanoi,Vietnam[J]. Shanghai Land & Resources,2022,43(2):84-88. doi: 10.3969/j.issn.2095-1329.2022.02.015 CrossRef Google Scholar
[16]	陈斌,徐刚,周良勇,等. 青岛海洋地质研究所海岸带地质工作进展与展望[J]. 海洋地质与第四纪地质,2024,44(3):23-39. Google Scholar CHEN B,XU G,ZHOU L Y,et al. Progress and prospects of coastal geological work at Qingdao Institute of Marine Geology[J]. Marine Geology & Quaternary Geology,2024,44(3):23-39. Google Scholar
[17]	时培兵,褚庆忠,陈小哲,等. 红河三角洲沉积相及其形成模式研究[J]. 重庆科技学院学报(自然科学版),2016,18(2):18-21,26. Google Scholar SHI P B,CHU Q Z,CHEN X Z,et al. Sedimentary facies and formation model of Honghe River Delta[J]. Journal of Chongqing University of Science & Technology (Natural Science Edition),2016,18(2):18-21,26. Google Scholar
[18]	杨宏达,乔璐璐,刘雪,等. 近30 年红河三角洲岸线演变[J]. 海洋地质与第四纪地质,2019,40(2):48-57. Google Scholar YANG H D,QIAO L L,LIU X,et al. Shoreline evolution of the Red River Delta in the recent 30 years[J]. Marine Geology & Quaternary Geology,2019,40(2):48-57. Google Scholar
[19]	BERARDINO P,FORNARO G,LANARI R,et al. A new algorithm for deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383. doi: 10.1109/TGRS.2002.803792 CrossRef Google Scholar
[20]	许军强,马涛,卢意恺,等. 基于SBAS-InSAR技术的豫北平原地面沉降监测[J]. 吉林大学学报(地球科学版),2019,49(4):1182-1191. Google Scholar XU J Q,MA T,LU Y K,et al. Land subsidence monitoring in North Henan Plain based on SBAS-InSAR technology[J]. Journal of Jilin University (Earth Science Edition),2019,49(4):1182-1191. Google Scholar
[21]	曹群,陈蓓蓓,宫辉力,等. 基于SBAS 和IPTA 技术的京津冀地区地面沉降监测[J]. 南京大学学报(自然科学),2019,55(3):381-391. Google Scholar CAO Q,CHEN B B,GONG H L,et al. Monitoring of land subsidence in Beijing-Tianjin-Hebei Urban by combination of SBAS and IPTA[J]. Journal of Nanjing University (Natural Science),2019,55(3):381-391. Google Scholar
[22]	冉培廉,李少达,戴可人,等. 雄安新区2017—2019年地面沉降SBAS-InSAR监测与分析[J]. 河南理工大学学报(自然科学版),2022,41(3):66-73. Google Scholar RAN P L,LI S D,DAI K R,et al. SBAS-InSAR monitoring and analysis of land subsidence in Xiongan New Area from 2017 to 2019[J]. Journal of Henan Polytechnic University (Natural Science),2022,41(3):66-73. Google Scholar
[23]	DUONG D B,AKIRA K,THANH N T,et al. Identification of aquifer system in the whole Red River Delta,Vietnam[J]. Geosciences Journal,2011,15(3):323-338. doi: 10.1007/s12303-011-0024-x CrossRef Google Scholar
[24]	DUONG D B,AKIRA K,THANH N T,et al. Spatio-temporal analysis of recent groundwater-level trends in the Red River Delta,Vietnam[J]. Hydrogeology Journal,2012,20:1635-1650. doi: 10.1007/s10040-012-0889-4 CrossRef Google Scholar
[25]	闫华敏,李磊,李林涛,等. 基于层次分析法和模糊评价法的中国近海盆地CO₂ 封存适宜性评价[J]. 海洋地质前沿,2024,40(1):79-93. Google Scholar YAN H M,LI L,LI L T,et al. Suitability assessment on CO₂ storage in offshore basins of China based on AHP and fuzzy comprehensive evaluation[J]. Marine Geology Frontiers,2024,40(1):79-93. Google Scholar
[26]	林金鑫. 越南红河三角洲地面沉降易发程度研究[J]. 上海国土资源,2023,44(1):107-112. doi: 10.3969/j.issn.2095-1329.2023.01.015 CrossRef Google Scholar LIN J X. Study on the prone extent of land subsidence in the Red River Delta,Vietnam[J]. Shanghai Land & Resources,2023,44(1):107-112. doi: 10.3969/j.issn.2095-1329.2023.01.015 CrossRef Google Scholar
[27]	QUANG H N,SATOSHI T. Land subsidence and its effects on coastal erosion in the Nam Dinh Coast (Vietnam)[J]. Continental Shelf Research,2020,207:1-13. Google Scholar
[28]	秦同春,程国明,王海刚. 国际地面沉降研究进展的启示[J]. 地质通报,2018,37(2/3):503-509. Google Scholar QIN T C,CHEN G M,WANG H G. The latest progress of research on land subsidence abroad and its inspiration to China[J]. Geological Bulletin of China,2018,37(2/3):503-509. Google Scholar
[29]	殷跃平,张作辰,张开军. 我国地面沉降现状及防治对策研究[J]. 中国地质灾害与防治学报,2005,16(2):1-8. doi: 10.3969/j.issn.1003-8035.2005.02.001 CrossRef Google Scholar YIN Y P,ZHANG Z C,ZHANG K J. Land subsidence and countermeasures for its prevention in China[J]. The Chinese Journal of Geological Hazard and Control,2005,16(2):1-8. doi: 10.3969/j.issn.1003-8035.2005.02.001 CrossRef Google Scholar
[30]	中国地质灾害防治与生态修复协会. 中国地质灾害防治指南[M]. 北京:地质出版社,2023. Google Scholar China Geological Disaster Prevention and Ecological Restoration Association. Guideline for the Prevention and Control of Geological Hazards in China[M]. Beijing:Geological Publishing House,2023. Google Scholar
[31]	熊福文. 上海地面沉降精准监测基准网构建关键技术研究[J]. 上海国土资源,2022,43(3):117-123. doi: 10.3969/j.issn.2095-1329.2022.03.020 CrossRef Google Scholar XIONG F W. Study on key technologies of benchmark network construction for land subsidence precision monitoring in Shanghai[J]. Shanghai Land & Resources,2022,43(3):117-123. doi: 10.3969/j.issn.2095-1329.2022.03.020 CrossRef Google Scholar
[32]	代如凤,战庆. 地面沉降风险多向性评估体系建立与全量化应用[J]. 上海国土资源,2023,44(4):21-25. doi: 10.3969/j.issn.2095-1329.2023.04.005 CrossRef Google Scholar DAI R F,ZHAN Q. Establishment and full quantitative application of multidirectional assessment system of land subsidence risk[J]. Shanghai Land & Resources,2023,44(4):21-25. doi: 10.3969/j.issn.2095-1329.2023.04.005 CrossRef Google Scholar
[33]	王玢佳,文宝萍,李文鹏,等. 地面沉降灾害风险评价研究进展与展望[J]. 地质论评,2024,70(5):1949-1962. Google Scholar WANG B J. WEN B P,LI W P,et al. Review and prospective on land subsidence risk assessment[J]. Geological Review,2024,70(5):1949-1962. Google Scholar
[34]	杨天亮,王寒梅,焦珣. 上海地面沉降防治分区管控方法研究[J]. 上海国土资源,2015,35(4):105-109. Google Scholar YANG T L,WANG H M,JIAO X. Land subsidence zoning control in Shanghai[J]. Shanghai Land & Resources,2015,35(4):105-109. Google Scholar
[35]	刘映. 面向智慧城市的地质环境信息平台建设与应用研究[J]. 上海国土资源,2024,45(2):58-63. Google Scholar LIU Y. Research on the construction and application of geological environment information platform for smart cities[J]. Shanghai Land & Resources,2024,45(2):58-63. Google Scholar
[36]	苏国辉,魏合龙,孙记红,等. 海洋地质信息化建设研究进展与展望[J]. 海洋地质与第四纪地质,2024,44(3):71-81. Google Scholar SU G H,WEI H L,SUN J H,et al. Research progress and prospect of marine geological informatization construction[J]. Marine Geology & Quaternary Geology,2024,44(3):71-81. Google Scholar
[37]	严学新,杨天亮. 新形势下上海地面沉降防治策略的思考与建议[J]. 上海国土资源,2020,41(3):1-2. Google Scholar YAN X X,YANG T L. Suggestions for a strategy on land subsidence prevention and control in Shanghai under the new situation[J]. Shanghai Land & Resources,2020,41(3):1-2. Google Scholar