Publications

Correa, A., Yildiz, A., Kowalski, J., 2024. Reproducible workflows and compute environments for reusable datasets, simulations and research software, in: EGU General Assembly 2024, Vienna, 14–19 April 2024. Copernicus GmbH, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-18724

Edrich, A.-K., Yildiz, A., Roscher, R., Kowalski, J., 2024. A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning. Natural Hazards. https://doi.org/10.1007/s11069-024-06563-8

Edrich, A.-K., Yildiz, A., Roscher, R., Kowalski, J., 2023. FAIR shallow landslide hazard mapping, in: XVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). Potsdam : GFZ German Research Centre for Geosciences. https://doi.org/10.57757/IUGG23-3255

Edrich, A.-K., Yildiz, A., Roscher, R., Kowalski, J., 2022. A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility, in: EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022. Copernicus GmbH, pp. EGU22–4900. https://doi.org/10.5194/egusphere-egu22-4900

Edrich, A.-K., Yildiz, A., Roscher, R., Kowalski, J., 2021. Machine learning based prediction of shallow landslides, in: AGU Fall Meeting 2021, Online, 13–17 Dec 2021. pp. NH34A–07.

Graf, F., Bast, A., Gärtner, H., Yildiz, A., 2019. Effects of Mycorrhizal Fungi on Slope Stabilisation Functions of Plants, in: Wu, W. (Ed.), Recent Advances in Geotechnical Research, Springer Series in Geomechanics and Geoengineering. Springer International Publishing, Cham, pp. 57–77.

Graf, F., Bebi, P., Braschler, U., Cesare, G.D., Frei, M., Greminger, P., Grunder, K., Hählen, N., Rickli, C., Rixen, C., Sandri, A., Springman, S.M., Thormann, J.-J., von Albertini, N., Yildiz, A., 2017. Pflanzenwirkungen zum Schutz vor flachgründigen Rutschungen (No. 56). Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL, Birmensdorf.

Green, D., Stirling, R., Walsh, C., Starkey, E., Walker, A., Yildiz, A., Thaman, N., Dawson, R., 2021. National Green Infrastructure Facility – a specialised ‘living laboratory’ to assess the value of urban green infrastructure, in: EGU General Assembly 2021, Online, 19–30 Apr 2021. pp. EGU2021–12457. https://doi.org/10.5194/egusphere-egu21-12457

Kowalski, J., Zhao, H., Yildiz, A., 2023. Keynote lecture: Towards reliability-management for debris flow risk assessment. E3S Web of Conferences 415, 05013. https://doi.org/10.1051/e3sconf/202341505013

Loveridge, F., Schellart, A., Rees, S., Stirling, R., Taborda, D., Tait, S., Alibardi, L., Biscontin, G., Shepley, P., Shafagh, I., Shepherd, W., Yildiz, A., Jefferson, B., 2022. The potential for heat recovery and thermal energy storage in the UK using buried infrastructure. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 1–14. https://doi.org/10.1680/jsmic.21.00018

Loveridge, F., Shepley, P., Stirling, R., Yildiz, A., 2020. Harvesting Energy from Buried Infrastructure: Current UKCRIC research, in: EGU General Assembly 2020, Online, 4–8 May 2020. pp. EGU2020–19412. https://doi.org/10.5194/egusphere-egu2020-19412

Simson, A., Yildiz, A., Kowalski, J., 2025. Reusability-targeted enrichment of sea ice core data. Scientific Data 12. https://doi.org/10.1038/s41597-025-04665-x

Simson, A., Yildiz, A., Kowalski, J., 2023a. Data compilations for enriched reuse of sea ice data sets, in: EGU General Assembly 2023, Vienna, 23–28 April 2023. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu23-6726

Simson, A., Yildiz, A., Kowalski, J., 2023b. FAIR data for enriched reuse of data compilations. GFZ German Research Centre for Geosciences. https://doi.org/10.57757/IUGG23-4611

Simson, A., Yildiz, A., Mieruch, S., Kowalski, J., 2024. Compiling FAIR sea ice core data: A reuser perspective, in: Simoncelli, S., Vernet, M., Coatanoan, C. (Eds.), International Conference on Marine Data and Information Systems - Proceedings Volume. International Conference in Marine Data; Information Systems 2024 - Bergen (Norway), 27-29 May 2024; Istituto nazionale di geofisica e vulcanologia, pp. 121–123. https://doi.org/10.13127/MISC/80

Stirling, R.A., Toll, D.G., Glendinning, S., Helm, P.R., Yildiz, A., Hughes, P.N., Asquith, J.D., 2021. Weather-driven deterioration processes affecting the performance of embankment slopes. Géotechnique 71, 957–969. https://doi.org/10.1680/jgeot.19.SiP.038

Stokes, A., Yildiz, A., 2023. The reinforcement of soil by plant roots, in: Reference Module in Earth Systems and Environmental Sciences. Elsevier. https://doi.org/10.1016/B978-0-12-822974-3.00226-3

Winkels, B., Hofmann, J., Yildiz, A., Edrich, A.-K., Schüttrumpf, H., Kowalski, J., 2022. Quantifying rainfall forecast uncertainty and error propagation in flash flood and landslide prediction models, in: EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022. Copernicus GmbH, pp. EGU22–6170. https://doi.org/10.5194/egusphere-egu22-6170

Yildiz, A., 2020. Estimating the full range of thermal conductivity dryout curve. Géotechnique Letters 10, 419–423. https://doi.org/10.1680/jgele.20.00055

Yildiz, A., 2018. Quantification of Biological Effects on Soil Stability (PhD thesis). ETH Zurich, Zurich. https://doi.org/10.3929/ethz-b-000294001

Yildiz, A., Abraham, M.T., Kumar, V.M., Book, N., Kowalski, J., 2023a. A datahub for comparative reliability assesment of model-based landslide prediction, in: 6th World Landslide Forum. OIC S.r.l., Florence, Italy.

Yildiz, A., Askarinejad, A., Graf, F., Rickli, C., Springman, S.M., 2015a. Effects of roots and mycorrhizal fungi on the stability of slopes, in: Winter, M.G., Smith, D.M., Eldred, P.J.L., Toll, D.G. (Eds.), Geotechnical Engineering for Infrastructure and Development. ICE Publishing, Edinburgh, pp. 1693–1698.

Yildiz, A., Baselt, I., Edrich, A.-K., Fischer, J.-T., Mergili, M., Zhao, H., Kowalski, J., 2021. Emulation techniques for rapid flow-like geohazards: A case study-based performance analysis, in: EGU General Assembly 2021, Online, 19–30 Apr 2021. pp. EGU2021–2453. https://doi.org/10.5194/egusphere-egu21-2453

Yildiz, A., Graf, F., 2017. Linking plants, fungi and soil mechanics, in: EGU General Assembly 2017. pp. EGU2017–14475.

Yildiz, A., Graf, F., Rickli, C., Springman, S.M., 2019a. Assessment of plant-induced suction and its effects on the shear strength of rooted soils. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering 172, 507–519. https://doi.org/10.1680/jgeen.18.00209

Yildiz, A., Graf, F., Rickli, C., Springman, S.M., 2018. Determination of the shearing behaviour of root-permeated soils with a large-scale direct shear apparatus. CATENA 166, 98–113. https://doi.org/10.1016/j.catena.2018.03.022

Yildiz, Anil, Graf, F., Rickli, C., Springman, S.M., 2018a. An experimental investigation of plant-induced suction and its implications for slope stability, in: 5th Italian Workshop on Landslides (IWL 2018). Naples, Italy.

Yildiz, A., Graf, F., Rickli, C., Springman, S.M., 2016a. Effects of root characteristics and dilatancy on the shear strength of root-permeated soils, in: 4th International Conference on Soil Bio- and Eco- Engineering. Sydney, Australia.

Yildiz, A., Graf, F., Rickli, C., Springman, S.M., 2016b. Effects of different vegetation types on the shear strength of root-permeated soils, in: EGU General Assembly 2016. pp. EGU2016–17879.

Yildiz, A., Graf, F., Rickli, C., Springman, S.M., 2015b. Effects of Dilatancy on the Shearing Behaviour of Root-Permeated Soil, in: EGU General Assembly 2015. pp. EGU2015–8972.

Yildiz, A., Graf, F., Springman, S.M., 2020. On the dilatancy of root-permeated soils under partially saturated conditions. Géotechnique Letters 10, 227–230. https://doi.org/10.1680/jgele.19.00048

Yildiz, Anil, Graf, F., Springman, S.M., 2020a. Volume change behavior of root-permeated soils under partially saturated conditions, in: Cardoso, R., Jommi, C., Romero, E. (Eds.), E3S Web of Conferences. Lisbon, Portugal, p. 01007. https://doi.org/10.1051/e3sconf/202019501007

Yildiz, A., Graf, F., Springman, S.M., 2019b. An investigation of plant-induced suction and its implications for slope stability. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering 172, 520–529. https://doi.org/10.1680/jgeen.18.00218

Yildiz, Anil, Graf, F., Springman, S.M., 2018b. Effects of biodiversity, plant age, and mycorrhizal fungi on the plant-induced suction and shear strength of root-permeated soils, in: EGU General Assembly 2018. pp. EGU2018–1016. https://doi.org/10.3929/ETHZ-B-000321128

Yildiz, A., Kowalski, J., 2023b. Workflow-induced uncertainty in probabilistic landslide hazard maps, in: 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14. Dublin, Ireland.

Yildiz, A., Kowalski, J., 2023a. Data-integrated executable publications for reproducible geohazards research, in: EGU General Assembly 2023, Vienna, 23–28 April 2023. Copernicus GmbH, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-7417

Yildiz, A., Stirling, R.A., 2022. Ground heat exchange potential of Green Infrastructure. Geothermics 102351. https://doi.org/10.1016/j.geothermics.2022.102351

Yildiz, A., Stirling, R.A., 2021. Thermo-hydrological behaviour of green infrastructure: A comparative field and laboratory study. Geomechanics for Energy and the Environment 25, 100219. https://doi.org/10.1016/j.gete.2020.100219

Yildiz, A., Stirling, R.A., 2020. Investigating green infrastructure as potential medium for ground heat exchangers, in: McCartney, J.S., Tomac, I. (Eds.), E3S Web of Conferences. La Jolla, California, USA, p. 06013. https://doi.org/10.1051/e3sconf/202020506013

Yildiz, Anil, Stirling, R.A., Glendinning, S., 2020b. Monitoring of thermo-hydrological behavior in Green Infrastructure, in: Cardoso, R., Jommi, C., Romero, E. (Eds.), E3S Web of Conferences. Lisbon, Portugal, p. 01008. https://doi.org/10.1051/e3sconf/202019501008

Yildiz, A., Stirling, R.A., Walsh, C., Starkey, E., Glendinning, S., 2019c. Monitoring capabilities at the National Green Infrastructure Facility, in: Multi-Scale Analysis of Slopes Under Climate Change MUSLOC2019. Barcelona, Spain.

Yildiz, A., Zhao, H., Kowalski, J., 2023b. Computationally-feasible uncertainty quantification in model-based landslide risk assessment. Frontiers in Earth Science 10. https://doi.org/10.3389/feart.2022.1032438

Yildiz, A., Zhao, H., Kowalski, J., 2022. Physics-informed machine learning to model rapid complex geohazards, in: EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu22-2682

Zhao, H., Yildiz, A., Bagherinejad, N., Kowalski, J., 2023. PSimPy: GP emulation-based sensitivity analysis, uncertainty quantification and calibration of landslide simulators, in: 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14. Dublin, Ireland.