|
|
Kisi, O., Azamathulla, H. M., Cevat, F., Kulls, C., Kuhdaragh, M., & Fuladipanah, M. (2024). Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship. Results in Engineering, 22, 102017.
|
|
|
|
Joseph, J., Külls, C., Arend, M., Schaub, M., Hagedorn, F., Gessler, A., et al. (2019). Application of a laser-based spectrometer for continuous in situ measurements of stable isotopes of soil CO 2 in calcareous and acidic soils. Soil, 5(1), 49–62.
|
|
|
|
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.
|
|
|
|
Ola, I., Drebenstedt, C., Burgess, R. M., Mensah, M., Hoth, N., & Külls, C. (2024). Remediating Oil Contamination in the Niger Delta Region of Nigeria: Technical Options and Monitoring Strategies. The Extractive Industries and Society, 17, 101405.
|
|
|
|
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.
|
|
