Nowadays, there are a lot of natural disasters such as flash floods and landslides, subsidence and riverbank erosion, droughts, etc. which have caused heavy losses in Vietnam and around the world. Natural disasters have increased due to the impact of climate change. Establishing subsidence early warning systems due to drought and groundwater exploitation is the technical solutions and disaster risk management to reduce human and property losses in Ca Mau Peninsula. The Ca Mau Peninsula is one of the areas with severe and frequent subsidence. The warning system is built based on the factor weighting method combined with GIS technology. This subsidence warning system due to drought and groundwater exploitation was applied for the dry season in 2024. Results show that subsidence locations from the system are relatively consistent with surveyed subsidence locations. The subsidence warning system will be an effective tool and will be transferred to the Ca Mau provincial hydrometeorological station for use in their work in the dry season in 2025. This system can be replicated in areas facing increasing subsidence.
Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration—Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. Food and Agriculture Organization of the United Nations.
[3]
Chen, Y., Guo, L., Xu, J., Yang, Q., Wang, H., & Zhu, C. (2024). Monitoring and Cause Analysis of Land Subsidence along the Yangtze River Utilizing Time-Series InSAR. ISPRS International Journal of Geo-Information, 13, Article 230. https://doi.org/10.3390/ijgi13070230
[4]
Cheng, E. W. L., Li, H., & Ho, D. C. K. (2002). Analytic Hierarchy Process (AHP): A De-Fective Tool When Used Improperly. Measuring Business Excellence, 6, 33-37. https://doi.org/10.1108/13683040210451697
[5]
Fadhillah, M. F., Achmad, A. R., & Lee, C. (2020). Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea. Remote Sensing, 12, Article 3505. https://doi.org/10.3390/rs12213505
[6]
Food and Agriculture Organization of the United Nations (FAO) (2020). Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements.
[7]
Franczyk, A., Bała, J., & Dwornik, M. (2022). Monitoring Subsidence Area with the Use of Satellite Radar Images and Deep Transfer Learning. Sensors, 22, Article 7931. https://doi.org/10.3390/s22207931
[8]
Gao, L., Song, Y., & Zhao, B. (2021). 3D Visualization Monitoring and Early Warning of Surface Deformation in Subsidence Area Based on GIS. Complexity, 2021, Article ID: 6675241. https://doi.org/10.1155/2021/6675241
[9]
Ghosha, J. K., Bhattacharyab, D., Boccardoc, P., & Samadhiya, N. K. (2010). A Landslide Hazard Warning System. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, XXXVIII, 261-265.
[10]
Hemmelder, S., Marra, W., Markies, H., & De Jong, S. M. (2018). Monitoring River Morphology & Bank Erosion Using UAV Imagery—A Case Study of the River Buëch, Hautes-Alpes, France. International Journal of Applied Earth Observation and Geoinformation, 73, 428-437. https://doi.org/10.1016/j.jag.2018.07.016
[11]
Hu, B., Yang, B., Zhang, X., Chen, X., & Wu, Y. (2019). Time-Series Displacement of Land Subsidence in Fuzhou Downtown, Monitored by SBAS-INSAR Technique. Journal of Sensors, 2019, Article ID: 3162652. https://doi.org/10.1155/2019/3162652
[12]
Jena, J., Mahed, G., Chabata, T., Doucoure, M., & Gibbon, T. (2024). Monitoring and Early Warning Detection of Collapse and Subsidence Sinkholes Using an Optical Fibre Seismic Sensor. Cogent Engineering, 11, Article ID: 2301152. https://doi.org/10.1080/23311916.2023.2301152
[13]
Mallick, A., & Parvin, M. (2019). Risk Informed Early Warning System and Non-Migration Pattern Riverbank Erosion Areas. https://www.preventionweb.net/files/67631_67631rivererosionearlywarningreport.pdf
[14]
Minh, N. D., Duong, H. H., & Tien, N. M. (2018). Building an Agricultural Drought Moni-toring System Using Satellite Data, Piloted in Ninh Thuan Province, Vietnam. Journal of Water Resources Science and Technology, 50, 1-7. (In Vietnamese)
[15]
Ning, D., Zhu, J., Guo, H., Zang, X., & Wang, H. (2023). Research on Monitoring, Early Warning and Prevention System of Land Subsidence in Beijing-Tianjin-Hebei Region. Journal of Physics: Conference Series, 2468, Article ID: 012149. https://doi.org/10.1088/1742-6596/2468/1/012149
[16]
Ochungo, E. A., Ouma, G. O., Obiero, J. P. O., & Odero, N. A. (2019). An Assessment of Groundwater Grab Syndrome in Langata Sub County, Nairobi City-Kenya. Journal of Water Resource and Protection, 11, 651-673. https://doi.org/10.4236/jwarp.2019.115038
[17]
Phuong, T. A., Tra, T. V., Duc, N. A., Son, D. H., Cuong, T. M., Anh, P. N., Linh, B. H., & Nhung, T. T. (2022). Development of a WebGIS-Based Integrated Flood and Drought Monitoring and Early Warning System in Real-Time: A Preliminary Study. Vietnam Journal of Hydrometeorology, 4, 314-324. https://doi.org/10.36335/vnjhm.2022(eme4).314-324
[18]
Pourmorad, S., Mohanty, A., Sushree Sangita Dash, S. S. (2021). Prediction and Potential Detection of Land Subsidence by Integrating AHP and Programming Methods: Case Study of South Eastern Iran. Research Square. https://doi.org/10.21203/rs.3.rs-853378/v1.
[19]
Quang, P. H., Cong, P. H., & Chinh, P. Q. (2021). Effective Solution for Early Warning of Landslides and Flash Floods Based on IoT and WSN Technology. (In Vietnamese) https://cic.vast.vn/index.php?option=com_content&view=article&id=229:gi-i-phap-hi-u-qu-c-nh-bao-s-m-s-t-l-d-t-va-lu-quet-d-a-tren-cong-ngh-iot-va-wsn&catid=11&Itemid=104
[20]
Saaty, T. L. (2008). Decision Making with the Analytic Hierarchy Process. International Journal of Services Sciences, 1, 83-98. https://doi.org/10.1504/ijssci.2008.017590 https://www.rafikulislam.com/uploads/resourses/197245512559a37aadea6d.pdf
[21]
Salameh, E., Abdallat, G., & Odeh, T. (2024). The Damaging Effects of Abstracting the Deep Aquifers’ Groundwater in Jordan-Quality Constraints. Journal of Geoscience and Environment Protection, 12, 250-278. https://doi.org/10.4236/gep.2024.123014
[22]
Soil Conservation Service, SCS (1964). National Engineering Handbook, Section 4, Hydrology (p. 450). Department of Agriculture.
[23]
Soil Conservation Service, SCS (1972). National Engineering handbook, Section 4, Hydrology (p. 762). Department of Agriculture.
[24]
Song, Y., Chen, X., Zou, B., Mu, J., Hu, R., Cheng, S. et al. (2023). Monitoring Study of Long-Term Land Subsidence during Subway Operation in High-Density Urban Areas Based on DinSAR-GPS-GIS Technology and Numerical Simulation. Computer Modeling in Engineering & Sciences, 134, 1021-1039. https://doi.org/10.32604/cmes.2022.021164
[25]
Tri, D. Q., Nhat, N. V., Tuyet, Q. T. T., Pham, H. T. T., Duc, P. T., & Thanh Thuy, N. (2024). Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam. Sustainability, 16, Article 2920. https://doi.org/10.3390/su16072920