Spatial Analysis of Environmental Hazards

Spatial Analysis of Environmental Hazards

Evaluation of the impact of pumping wells on variation in land subsidence rate and associated geomorphic consequences

Authors
Ferdowsi University of Mashhad
Abstract
Despite extensive studies on the relationship between land subsidence and groundwater level, less research were focused on the impacts of distance to pumping wells on variation of land subsidence area. This study presented the linkage between the ground surface displacement rate and groundwater pumping area and the associated geomorphic consequences. The land subsidence rate was extracted from Sentinel-1A images. Then, to evaluate the relationship between the ground surface displacement extent and distance from the pumping wells, 30 pumping wells were identified within the study area. Different buffers at specified distances (500, 700, 1,000, 1,300, 1,500, 2,000 m) were created around each well. To test the effect of the distance to the pumping wells on the spatial extent of critical and slight subsidence areas, average annual images of land subsidence were classified into two classes, including areas with a maximum subsidence rate and a minimum subsidence rate. Further, earth fissure identified by GPS were transformed to the land subsidence classification map. The results showed that there is a significant relationship between the distances to pumping wells and displacement extent. The spatial extent of areas with the maximum subsidence rates decreased as the distance from the pumping wells increased. By contrast, the spatial extent of areas occupied by the minimum subsidence rates increased with increasing the distance from the pumping wells. Also, the density distribution of the earth fissures increased in areas with the maximum subsidence rate.
Keywords

Chen, B.; H. Gong, Y. Chen, X. Li, C. Zhou, K. Lei, X. Zhao, L. Duan, and X. Zhao. 2020. Land subsidence and its relation with groundwater aquifers in Beijing Plain of China. Science of the Total Environment, 735: 139111.‌ https://doi.org/10.1016/j.scitotenv.2020.139111

Corbau, C.; U. Simeoni, C. Zoccarato, G. Mantovani, and P. Teatini. 2019. Coupling land use evolution and subsidence in the Po Delta, Italy: Revising the past occurrence and prospecting the future management challenges. Science of the Total Environment, 654:1196-1208.‌ https://doi.org/10.1016/j.scitotenv.2018.11.104

Ezquerro, P.; G. Herrera, M. Marchamalo, R. Tomás, M. Béjar-Pizarro, and R. Martínez. 2014. A quasi-elastic aquifer deformational behavior: Madrid aquifer case study. Journal of Hydrolology, 519:1192–1204. https://doi.org/10.1016/j.jhydrol.2014.08.040

Gong, H.; Y. Pan, L. Zheng, X. Li, L. Zhu, C. Zhang, and C. Zhou. 2018. Long-term groundwater storage changes and land subsidence development in the North China Plain (1971–2015). Hydrogeology Journal, 26(5): 1417-1427.‌ https://doi.org/10.1007/s10040-018-1768-4
Haghshenas Haghighi, MH.; and M. Motagh. 2019. Ground surface response to continuous compaction of aquifer system in Tehran, Iran: Results from a long-term multi-sensor InSAR analysis. Remote Sensing of Environment, 221: 534-550. https://doi.org/10.1016/j.rse.2018.11.003

Hoffmann, J.; DL. Galloway, and HA. Zebker. 2003. Inverse modeling of interbed storage parameters using land subsidence observations, Antelope Valley, California. Water Resources Research, 39(2):1031. https://doi.org/10.1029/2001WR001252

Luo, Q.; D. Perissin, Y. Zhang, and Y. Jia. 2014. L-and X-band multi-temporal InSAR analysis of Tianjin subsidence. Remote Sensing, 6(9): 7933-7951.‌ https://doi.org/10.3390/rs6097933

Shi, X.; C. Yang, L. Zhang, H. Jiang, M. Liao, L. Zhang, and X. Liu. 2019. Mapping and characterizing displacements of active loess slopes along the upstream Yellow River with multi-temporal InSAR datasets. Science of the Total Environment, 674:200-210.‌ https://doi.org/10.1016/j.scitotenv.2019.04.140

Sun, H.; Q. Zhang, C. Zhao, C. Yang, Q. Sun, and W. Chen. 2017. Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique. Remote Sensing of Environment, 188: 73-84.‌ https://doi.org/10.1016/j.rse.2016.10.037

Van Engelenburg, J.; R. Hueting, S. Rijpkema, AJ. Teuling, R. Uijlenhoet, and F. Ludwig. 2018. Impact of changes in groundwater extractions and climate change on groundwater-dependent ecosystems in a complex hydrogeological setting. Water Resources Management, 32(1): 259-272.‌ https://doi.org/10.1007/s11269-017-1808-1

Xing, L.; L. Huang, Y. Yang, J. Xu, W. Zhang, G. Chi, and X. Hou. 2018. The blocking effect of clay in groundwater systems: a case study in an inland plain area. International Journal of Environmental Research and Public Health, 15(9): 1816.‌ https://doi.org/10.3390/ijerph15091816

Zamanirad, M.; H. Sedghi, A. Sarraf, A. Saremi, and P. Rezaee. 2018. Potential impacts of climate change on groundwater levels on the Kerdi-Shirazi plain, Iran. Environmental Earth Sciences, 77(11): 415.‌ https://doi.org/10.1007/s12665-018-7585-1