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Mehraein, M., Mohanavelu, A., Naganna, S. R., Kulls, C., & Kisi, O. (2022). Monthly streamflow prediction by metaheuristic regression approaches considering satellite precipitation data. Water, 14(22), 3636.
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Mahindawansha, A., Külls, C., Kraft, P., & Breuer, L. (2020). Investigating unproductive water losses from irrigated agricultural crops in the humid tropics through analyses of stable isotopes of water. Hydrology and Earth System Sciences, 24(7), 3627–3642.
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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.
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Eliades, M., Bruggeman, A., Djuma, H., Christofi, C., & Kuells, C. (2022). Quantifying evapotranspiration and drainage losses in a semi-arid nectarine (Prunus persica var. nucipersica) field with a dynamic crop coefficient (Kc) derived from leaf area index measurements. Water, 14(5), 734.
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Ola, I., Drebenstedt, C., Burgess, R. M., Mensah, M., Hoth, N., Okoroafor, P., et al. (2024). Assessing petroleum contamination in parts of the Niger Delta based on a sub-catchment delineated field assessment. Environmental Monitoring and Assessment, 196(6), 585.
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