Good Data Handling in Hydrogeology
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43803-5_39
Reference4 articles.
1. Betancur, T., Palacio, C. A., & Escobar M. J. F. (2012). Conceptual models in hydrogeology, methodology and results. In Hydrogeology—A global perspective (No. February, 2012).
2. Deutsch, C., Deutsch, J., & Objec, L. (2020). An application of Bayes theorem to geostatistcal mapping (pp. 1–9).
3. Lary, D. J., Alavi, A. H., Gandomi, A. H., & Walker, A. L. (2016). Machine learning in geosciences and remote sensing. Geoscience Frontiers, 7(1), 3–10.
4. Parkhurst, D. L., & Appelo, C. A. J. (2013). Description of input and examples for PHREEQC version 3—A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. In U.S. Geological survey techniques and methods, book 6, chapter A43 (497 p.).
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