1. ABOUT THE DATASET -------------------- Title: Global slope drainage units for landslide dam formation Creator(s): Hang Wu [1], Mark Trigg [1], William Murphy[1], Raul Fuentes[2] Organisation(s): 1. University of Leeds. 2. RWTH Aachen University Rights-holder(s): Copyright 2023 University of Leeds Publication Year: 2023 Description: This dataset provides delineated slope drainage units for landslide dam formation evaluation created by the automatic Pfafstetter coding method based on various landslide and landslide dam datasets, 30m spatial resolution FABDEM dataset and HydroBASIN subbasin products. The dataset can be used to provide the calculation unit for landslide dam formation susceptibility evaluation on the interest areas located globally. Cite as: Hang Wu, Mark Trigg, William Murphy, Raul Fuentes (2023) Global slope drainage units for landslide dam formation. University of Leeds. [Dataset] https://doi.org/10.5518/1346 Related publication: In preparation publication:: Wu, H., Trigg, M.A., Murphy, W. et al., 2023. A global-scale applicable framework of landslide dam formation susceptibility Contact: Hang Wu (cnhwu@leeds.ac.uk); Mark Trigg (m.trigg@leeds.ac.uk) 2. TERMS OF USE --------------- This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: University of Leeds Scholarship In Associate with the China Scholarship Council Dates: 09/2019-09/2023 Funding organisation: University of Leeds and China Scholarship Council Grant no.: 201906400001 4. CONTENTS ----------- File listing Note: The geospatial reference for all the shapefiles is WGS1984. 1) The shapefile named as “HydroBASINS_filtered” contains all the level-12 HydroBASINS units as polygons for an initial filtered study area for landslide dam formation. This file can be used to search the ID number of the area of interest based on its location. Attribute explanation: x--the longitude of polygon centroid of HydroBASIN level-12 subbasin; y -- the latitude of polygon centroid; NS -- the hemisphere of polygon centroid (N for north hemisphere, S for south hemisphere); Name -- a unique ID for each basic calculation unit was assigned by combining the hemisphere where HydroBASIN level-12 subbasin is located, latitude of centroid of HydroBASIN level-12 subbasin, ID number of a HydroBASIN unit and the ID number of each polygon (Figure 1). For instance, the ID of “N36_2120046520_1963”, represents a hydrobasin unit that is centrally located at N36°, hydrobasin ID is 2120046520, and polygon ID is 1963. 2) Delineated slope drainage units were stored in the folder named as “slopedrainageUnit” The subfolders within this directory were created with a name based on their unique IDs from each HydroBASIN level-12 subbasin for further data storage of slope drainage unit delineation results. Each HydroBASIN level-12 subbasin has a subfolder named as “subbasin_shp” containing the delineated slope drainage unit result. 5. METHODS ---------- The code was built based on the Python (3.9.9). 1) Pfafstetter coding Verdin, K.L., Verdin, J.P., 1999. A topological system for delineation and codification of the Earth’s river basins. Journal of Hydrology, 218(1-2), 1-12. (original method) Eilander, D. PyFlwdir: Fast methods to work with hydro- and topography data in pure Python, Zenodo [code], https://doi.org/10.5281/zenodo.4287338, 2020. (Python package) 2) DEM sources: FABDEM (Forest And Buildings removed Copernicus DEM) Hawker, L., Neal, J. 2021, FABDEM V1-0. https://doi.org/10.5523/bris.25wfy0f9ukoge2gs7a5mqpq2j7 3) Basic calculation unit: HydroBASINS level-12 subbasins Lehner, B., Grill G., 2013. Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. https://doi.org/10.1002/hyp.9740 4) Landslide and landslide dam datasets references: Calvello, M., Pecoraro, G., 2018. FraneItalia: a catalog of recent Italian landslides. Geoenviron Disasters, 5(13) Caprari, P., Della Seta, M., Martino, S., Fantini, A., Fiorucci, M., Priore, T., 2018. Upgrade of the cedit database of earthquake-induced ground effects in Italy. Italian Journal of Engineering Geology and Environment, 2, 23-39. Dufresne (unpublished inventory) in Dufresne, A., Siebert, L., Bernard, B., 2021. Distribution and geometric parameters of volcanic debris avalanches. In: Roverato, M., Dufresne, A., Procter, J. (eds) Volcanic Debris Avalanches - From Collapse to Hazards. Advances in Volcanology, Springer Heidelberg, 75-90. Esposito, G.,Matano, F., 2021, CAmpi Flegrei LAndslide Geodatabase (CAFLAG). 4TU.ResearchData. Dataset. https://doi.org/10.4121/14440757.v2 Kirschbaum, D.B., Stanley, T., Zhou, Y., 2015. Spatial and Temporal Analysis of a Global Landslide Catalog. Geomorphology. doi:10.1016/j.geomorph.2015.03.016. Kirschbaum, D. B. 2019. High Mountain Asia Landslide Catalog, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/5ST0TZCD9RQ3. Accessed in 2022 Jones, E.S., Mirus, B.B, Schmitt, R.G., Baum, R.L., Burns, W.J., Crawford, M., Godt, J.W., Kirschbaum, D.B., Lancaster, J.T., Lindsey, K.O., McCoy, K.E., Slaughter, S., and Stanley, T.A., 2019, Summary Metadata – Landslide Inventories across the United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9E2A37P. National Research Institute for Earth Science and Disaster Prevention of Japan, Digital archive for Landslide Distribution Maps, https://dil-opac.bosai.go.jp/publication/nied_tech_note/landslidemap/index.html (Accessed in 2022, in Japanese) Schmitt, R.G., Tanyas, H., Nowicki Jessee, M.A., Zhu, J., Biegel, K.M., Allstadt, K.E., Jibson, R.W., Thompson, E.M., van Westen, C.J., Sato, H.P., Wald, D.J., Godt, J.W., Gorum, T., Xu, C., Rathje, E.M., Knudsen, K.L., 2017. An open repository of earthquake-triggered ground-failure inventories. 1064, Reston, VA. Strom, A., Abdrakhmatov, K., 2018, Rockslides and Rock Avalanches of Central Asia - Distribution, Morphology, and Internal Structure. Elsevier, pp 449. Wu, H., Trigg, M.A., Murphy, W., Fuentes, R., 2022. A new global landslide dam database (RAGLAD) and analysis utilizing auxiliary global fluvial datasets. Landslides, 19(3), 555-572.