10 citations as recorded by crossref.

1. Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater A. Motevalli et al. https://doi.org/10.1016/j.jclepro.2019.04.293
2. Improving groundwater nitrate concentration prediction using local ensemble of machine learning models H. Mahboobi et al. https://doi.org/10.1016/j.jenvman.2023.118782
3. Using Wavelet Coherence to Characterize Surface Water Infiltration into a Low‐Lying Karst Aquifer P. Schuler et al. https://doi.org/10.1111/gwat.13012
4. Modeling the spatial and temporal distribution of coastal groundwater discharge for different water use scenarios under epistemic uncertainty: case study in South Portugal R. Hugman et al. https://doi.org/10.1007/s12665-014-3709-4
5. Climatic and geologic controls on the piezometry of the Querença-Silves karst aquifer, Algarve (Portugal) M. Neves et al. https://doi.org/10.1007/s10040-015-1359-6
6. Assessing climate change impacts on water availability in southern Portugal using a daily sequential soil-water budget model T. Nunes Martins et al. https://doi.org/10.2166/wcc.2024.244
7. Numerical modelling assessment of climate-change impacts and mitigation measures on the Querença-Silves coastal aquifer (Algarve, Portugal) R. Hugman et al. https://doi.org/10.1007/s10040-017-1594-0
8. The importance of temporal scale when optimising abstraction volumes for sustainable aquifer exploitation: A case study in semi-arid South Portugal R. Hugman et al. https://doi.org/10.1016/j.jhydrol.2013.02.053
9. Indicator macroinvertebrate species in a temporary Mediterranean river: Recognition of patterns in binary assemblage data with a Kohonen artificial neural network K. Sroczyńska et al. https://doi.org/10.1016/j.ecolind.2016.09.010
10. Integration of Managed Aquifer Recharge into the Water Supply System in the Algarve Region, Portugal K. Standen et al. https://doi.org/10.3390/w15122286