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Petelet-Giraud, E., Négrel, P., Aunay, B., Ladouche, B., Bailly-Comte, V., Guerrot, C., et al. (2016). Coastal groundwater salinization: Focus on the vertical variability in a multi-layered aquifer through a multi-isotope fingerprinting (Roussillon Basin, France). Science of The Total Environment, 566-567, 398–415.
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de Paz, J. - M., Sánchez, J., & Visconti, F. (2006). Combined use of GIS and environmental indicators for assessment of chemical, physical and biological soil degradation in a Spanish Mediterranean region. Journal of environmental management, 79(2), 150–162.
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Kisi, O., Melo, C. G. L. e., Fischer, L., Brandt, H., Heims, L., Loaec, A., et al. (2024). Comments on “Machine learning-based time series models for effective CO2 emission prediction in India” by Kumari and Singh, https://doi. org/10.1007/s11356-022–21723-8. Environmental Science and Pollution Research, , 1–4.
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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.
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Emadi*, M., & Baghernejad, M. (2014). Comparison of spatial interpolation techniques for mapping soil pH and salinity in agricultural coastal areas, northern Iran. Arch. Agron. Soil Sci., 60:9, 1315–1327.
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