|
|
Galazoulas, E. C., & Petalas, C. P. (2014). Application of multivariate statistical procedures on major ions and trace elements in a multilayered coastal aquifer: the case of the south Rhodope coastal aquifer. Environmental earth sciences, 72(10), 4191–4205.
|
|
|
|
Carreira, P. M., & Marques, J. M. (2018). Groundwater Salinity and Environmental Change Over the Last 20,000 Years: Isotopic Evidences in the Lower Sado Aquifer Recharge, Portugal. Springer.
Abstract: Impacts of the Water Resources Variability on Cereal Yields in the Region of Souss-Massa Southern MoroccoErstes
|
|
|
|
Adnan, R. M., Dai, H. - L., Kisi, O., Heddam, S., Kim, S., Kulls, C., et al. (2023). Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm. Environmental Science and Pollution Research, 30(41), 94312–94333.
|
|
|
|
Kisi, O., Heddam, S., Parmar, K. S., Yaseen, Z. M., & Kulls, C. (2024). Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data. Stochastic Environmental Research and Risk Assessment, 38(6), 2489–2519.
|
|
|
|
Kisi, O., Ajri, S., Jörgens, K. C., Karande, A., Kraus, S., Naumann, B., et al. (2023). Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi. org/10.1007/s11356-022-22048-2. Environmental Science and Pollution Research, 30(50), 109854–109855.
|
|
