APA (7th ed.) Citation

Nafouanti, M. B., Li, J., Li, H., Ngata, M. R., Sun, D., Huang, Y., . . . Nyakilla, E. E. (2024). Identification of the correlation between land subsidence and groundwater level in Cangzhou, North China Plain, based on time-series PS-InSAR and machine-learning approaches. Hydrogeology journal, 32(4), 951-966. https://doi.org/10.1007/s10040-024-02771-5

Chicago Style (17th ed.) Citation

Nafouanti, Mouigni Baraka, Junxia Li, Hexue Li, Mbega Ramadhani Ngata, Danyang Sun, Yihong Huang, Chuanfu Zhou, Lu Wang, and Edwin E. Nyakilla. "Identification of the Correlation Between Land Subsidence and Groundwater Level in Cangzhou, North China Plain, Based on Time-series PS-InSAR and Machine-learning Approaches." Hydrogeology Journal 32, no. 4 (2024): 951-966. https://doi.org/10.1007/s10040-024-02771-5.

MLA (9th ed.) Citation

Nafouanti, Mouigni Baraka, et al. "Identification of the Correlation Between Land Subsidence and Groundwater Level in Cangzhou, North China Plain, Based on Time-series PS-InSAR and Machine-learning Approaches." Hydrogeology Journal, vol. 32, no. 4, 2024, pp. 951-966, https://doi.org/10.1007/s10040-024-02771-5.