Identification of the Dominant Factors in Groundwater Recharge Process, Using Multivariate Statistical Approaches in a Semi-Arid Region
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- Guigui Xu & Xiaosi Su & Yiwu Zhang & Bing You, 2021. "Identifying Potential Sites for Artificial Recharge in the Plain Area of the Daqing River Catchment Using GIS-Based Multi-Criteria Analysis," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
- Hydar Ebrahimi & Reza Ghazavi & Haji Karimi, 2016. "Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1939-1951, April.
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Cited by:
- Babak Mohammadi, 2022. "Application of Machine Learning and Remote Sensing in Hydrology," Sustainability, MDPI, vol. 14(13), pages 1-2, June.
- Chen Li & Baohui Men & Shiyang Yin, 2022. "Spatiotemporal Variation of Groundwater Extraction Intensity Based on Geostatistics—Set Pair Analysis in Daxing District of Beijing, China," Sustainability, MDPI, vol. 14(7), pages 1-17, April.
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Keywords
groundwater recharge; infiltration; K-means clustering; PCA; Sierra de San Miguelito Volcanic Complex;All these keywords.
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