Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3641-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2022
Research article |
| 07 Nov 2022
| 07 Nov 2022
Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Department of Irrigation and Drainage, School of Agricultural
Engineering, College of Agriculture Animal Sciences and Veterinary Medicine,
University of Rwanda, P.O. Box 210, Musanze, Rwanda
Alessia Riveros
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hellen Wanjala
Planet Labs, PBC, Wilhelminastraat 43A, 2011 VK Haarlem, the
Netherlands
Jaap Schellekens
Planet Labs, PBC, Wilhelminastraat 43A, 2011 VK Haarlem, the
Netherlands
Frederiek Sperna Weiland
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Markus Hrachowitz
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
Thom A. Bogaard
Section Water Resources, Department of Water Management, Faculty of
Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the Netherlands
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Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
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Yi Luo, Jiaming Zhang, Zhi Zhou, Juan P. Aguilar-Lopez, Roberto Greco, and Thom Bogaard
Hydrol. Earth Syst. Sci., 27, 783–808, https://doi.org/10.5194/hess-27-783-2023, https://doi.org/10.5194/hess-27-783-2023, 2023
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Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
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Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles
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Mar J. Zander, Pety J. Viguurs, Frederiek C. Sperna Weiland, and Albrecht H. Weerts
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-207, https://doi.org/10.5194/hess-2022-207, 2022
Manuscript not accepted for further review
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Jan Pfeiffer, Thomas Zieher, Jan Schmieder, Thom Bogaard, Martin Rutzinger, and Christoph Spötl
Nat. Hazards Earth Syst. Sci., 22, 2219–2237, https://doi.org/10.5194/nhess-22-2219-2022, https://doi.org/10.5194/nhess-22-2219-2022, 2022
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Judith Uwihirwe, Markus Hrachowitz, and Thom Bogaard
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Elisa Ragno, Markus Hrachowitz, and Oswaldo Morales-Nápoles
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Laurène J. E. Bouaziz, Emma E. Aalbers, Albrecht H. Weerts, Mark Hegnauer, Hendrik Buiteveld, Rita Lammersen, Jasper Stam, Eric Sprokkereef, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 26, 1295–1318, https://doi.org/10.5194/hess-26-1295-2022, https://doi.org/10.5194/hess-26-1295-2022, 2022
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Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
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The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, and Andrea Alessandri
Earth Syst. Dynam., 12, 725–743, https://doi.org/10.5194/esd-12-725-2021, https://doi.org/10.5194/esd-12-725-2021, 2021
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The roots of vegetation largely control the Earth's water cycle by transporting water from the subsurface to the atmosphere but are not adequately represented in land surface models, causing uncertainties in modeled water fluxes. We replaced the root parameters in an existing model with more realistic ones that account for a climate control on root development and found improved timing of modeled river discharge. Further extension of our approach could improve modeled water fluxes globally.
Sarah Hanus, Markus Hrachowitz, Harry Zekollari, Gerrit Schoups, Miren Vizcaino, and Roland Kaitna
Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, https://doi.org/10.5194/hess-25-3429-2021, 2021
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This study investigates the effects of climate change on runoff patterns in six Alpine catchments in Austria at the end of the 21st century. Our results indicate a substantial shift to earlier occurrences in annual maximum and minimum flows in high-elevation catchments. Magnitudes of annual extremes are projected to increase under a moderate emission scenario in all catchments. Changes are generally more pronounced for high-elevation catchments.
Arthur Depicker, Gerard Govers, Liesbet Jacobs, Benjamin Campforts, Judith Uwihirwe, and Olivier Dewitte
Earth Surf. Dynam., 9, 445–462, https://doi.org/10.5194/esurf-9-445-2021, https://doi.org/10.5194/esurf-9-445-2021, 2021
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We investigated how shallow landslide occurrence is impacted by deforestation and rifting in the North Tanganyika–Kivu rift region (Africa). We developed a new approach to calculate landslide erosion rates based on an inventory compiled in biased © Google Earth imagery. We find that deforestation increases landslide erosion by a factor of 2–8 and for a period of roughly 15 years. However, the exact impact of deforestation depends on the geomorphic context of the landscape (rejuvenated/relict).
Artemis Roodari, Markus Hrachowitz, Farzad Hassanpour, and Mostafa Yaghoobzadeh
Hydrol. Earth Syst. Sci., 25, 1943–1967, https://doi.org/10.5194/hess-25-1943-2021, https://doi.org/10.5194/hess-25-1943-2021, 2021
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In a combined data analysis and modeling study in the transboundary Helmand River basin, we analyzed spatial patterns of drought and changes therein based on the drought indices as well as on absolute water deficits. Overall the results illustrate that flow deficits and the associated droughts clearly reflect the dynamic interplay between temporally varying regional differences in hydro-meteorological variables together with subtle and temporally varying effects linked to human intervention.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, https://doi.org/10.5194/hess-25-1069-2021, 2021
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We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Petra Hulsman, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 957–982, https://doi.org/10.5194/hess-25-957-2021, https://doi.org/10.5194/hess-25-957-2021, 2021
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Satellite observations have increasingly been used for model calibration, while model structural developments largely rely on discharge data. For large river basins, this often results in poor representations of system internal processes. This study explores the combined use of satellite-based evaporation and total water storage data for model structural improvement and spatial–temporal model calibration for a large, semi-arid and data-scarce river system.
Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 147–167, https://doi.org/10.5194/hess-25-147-2021, https://doi.org/10.5194/hess-25-147-2021, 2021
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This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
Rolf Hut, Thanda Thatoe Nwe Win, and Thom Bogaard
Geosci. Instrum. Method. Data Syst., 9, 435–442, https://doi.org/10.5194/gi-9-435-2020, https://doi.org/10.5194/gi-9-435-2020, 2020
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GPS drifters that float down rivers are important tools in studying rivers, but they can be expensive. Recently, both GPS receivers and cellular modems have become available at lower prices to tinkering scientists due to the rise of open hardware and the Arduino. We provide detailed instructions on how to build a low-power GPS drifter with local storage and a cellular model that we tested in a fieldwork in Myanmar. These instructions allow fellow geoscientists to recreate the device.
Cited articles
Adams, B. B. J., Asce, M., Fraser, H. G., and Hanafy, M. S.: Meteorological
data analysis for drainage system design, J. Environ. Eng., 112, 827–848, 1987.
Ashouri, H., Lin Hsu, K., Sorooshian, S., Braithwaite, D. K., Knapp, K. R.,
Cecil, D. L., Nelson, B. R., and Prat, O. P.: Daily Precipitation Climate
Data Record from Multisatellite Observations for Hydrological and Climate
Studies, Am. Meteorol. Soc., 69–84, https://doi.org/10.1175/BAMS-D-13-00068.1, 2015.
Bhatti, H. A., Rientjes, T., Haile, A. T., Habib, E., and Verhoef, W.:
Evaluation of bias correction method for satellite-based rainfall data,
Sensors, 16, 1–16, https://doi.org/10.3390/s16060884, 2016.
Bizimana, H. and Sönmez, O.: Landslide Occurrences in The Hilly Areas of
Rwanda, Their Causes and Protection Measures, Disast. Sci. Eng., 1, 1–7, 2015.
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives
on precipitation intensity-duration thresholds for landslide initiation:
proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018.
Bouaziz, L. J. E., Steele-dunne, S. C., and Schellekens, J.: Improved
Understanding of the Link Between Catchment-Scale Vegetation Accessible
Storage and Satellite-Derived Soil Water Index, Water Resour. Res., 56, 1–22, https://doi.org/10.1029/2019WR026365, 2020.
Broeckx, J., Vanmaercke, M., Duchateau, R., and Poesen, J.: Earth-Science
Reviews A data-based landslide susceptibility map of Africa, Earth-Sci. Rev., 185, 102–121, https://doi.org/10.1016/j.earscirev.2018.05.002, 2018.
Calvello, M., Devoli, G., Freeborough, K., Gariano, S. L., Guzzetti, F.,
Stähli, Kirschbaum, D., Nakaya, J., and Robbins, M.: LandAware: a new
international network on Landslide Early Warning Systems, Landslide, 17, 2699–2702, https://doi.org/10.1007/s10346-020-01548-7, 2020.
Conrad, J. L., Morphew, M. D., Baum, R. L., and Mirus, B. B.: Hydromet: A new
code for automated objective optimization of hydrometeorological thresholds
for landslide initiation, Water, 13, 1752, https://doi.org/10.3390/w13131752, 2021.
de Jeu, R. A. M., Holmes, T. R. H., Parinussa, R. M., and Owe, M.: A spatially coherent global soil moisture product with improved temporal resolution, J. Hydrol., 516, 284–296, https://doi.org/10.1016/j.jhydrol.2014.02.015, 2014.
Depicker, A., Jacobs, L., Mboga, N., Van Rompaey, A., Lennert, M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., and Govers, G.: population and
forest-cover changes in the Kivu Rift, Nat. Sustain., 4, 920, https://doi.org/10.1038/s41893-021-00757-9, 2015.
Depicker, A., Jacobs, L., Delvaux, D., Havenith, H. B., Maki Mateso, J. C.,
Govers, G., and Dewitte, O.: The added value of a regional landslide
susceptibility assessment: The western branch of the East African Rift,
Geomorphology, 353, 106886, https://doi.org/10.1016/j.geomorph.2019.106886, 2020.
Depicker, A., Jacobs, L., Mboga, N., Smets, B., Van Rompaey, A., Lennert,
M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., and Govers, G.:
Historical dynamics of landslide risk from population and forest-cover
changes in the Kivu Rift, Nat. Sustain., 4, 965–974,
https://doi.org/10.1038/s41893-021-00757-9, 2021a.
Depicker, A., Govers, G., Jacobs, L., Campforts, B., Uwihirwe, J., and
Dewitte, O.: Interactions between deforestation, landscape rejuvenation,
and shallow landslides in the North Tanganyika – Kivu rift region, Africa, Earth Surf. Dynam., 9, 445–462, https://doi.org/10.5194/esurf-9-445, 2021b.
Dewitte, O., Depicker, A., Moeyersons, J., and Dille, A.: Mass Movements in
Tropical Climates, in: 2nd Edn., Elsevier Inc., https://doi.org/10.1016/B978-0-12-818234-5.00118-8, 2021.
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004
to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181,
https://doi.org/10.5194/nhess-18-2161-2018, 2018.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S.,
Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The
climate hazards infrared precipitation with stations – a new environmental
record for monitoring extremes, Scient. Data, 2, 1–21, https://doi.org/10.1038/sdata.2015.66, 2015.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/J.EARSCIREV.2016.08.011, 2016.
Glade, T. and Nadim, F.: Early warning systems for natural hazards and risks, Nat. Hazards, 70, 1669–1671, https://doi.org/10.1007/s11069-013-1000-8, 2014.
Glerum, A., Brune, S., Stamps, D. S. ,and Strecker, M. R.: Victoria continental microplate dynamics controlled by the lithospheric strength distribution of the East African Rift, Nat. Commun., 11, 1–15,
https://doi.org/10.1038/s41467-020-16176-x, 2020.
Greco, R., Marino, P., Santonastaso, G. F., and Damiano, E.: Interaction
between perched epikarst aquifer and unsaturated soil cover in the initiation of shallow landslides in pyroclastic soils, Water, 10, 948, https://doi.org/10.3390/w10070948, 2018.
Guzzetti, F., Gariano, S. L., Peruccacci, S., Brunetti, M. T., Marchesini,
I., Rossi, M., and Melillo, M.: Geographical landslide early warning systems,
Earth-Sci. Rev., 200, 102973, https://doi.org/10.1016/j.earscirev.2019.102973, 2020.
Haque, U., Blum, P., da Silva, P. F., Andersen, P., Pilz, J., Chalov, S. R.,
Malet, J. P., Aufliè, M. J., Andres, N., Poyiadji, E., Lamas, P. C.,
Zhang, W., Peshevski, I., Pétursson, H. G., Kurt, T., Dobrev, N.,
García-Davalillo, J. C., Halkia, M., Ferri, S., Gaprindashvili, G.,
Engström, J., and Keellings, D.: Fatal landslides in Europe, Landslides,
13, 1545–1554, https://doi.org/10.1007/s10346-016-0689-3, 2016.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Nicolas, J., Peubey, C., Radu, R., Bonavita, M., Dee, D., Dragani, R.,
Flemming, J., Forbes, R., Geer, A., Hogan, R. J., Janisková, H. M., Keeley, S., Laloyaux, P., Cristina, P. L., and Thépaut, J.: The ERA5
global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hong, M., Kim, J., and Jeong, S.: Rainfall intensity-duration thresholds for
landslide prediction in South Korea by considering the effects of antecedent
rainfall, Landslides, 15, 523–534, https://doi.org/10.1007/s10346-017-0892-x, 2017.
Huffman, G. J., Adler, R. F., Bolvin, D. T., and Nelkin, E. J.: The TRMM
multi-satellite precipitation analysis (TMPA), in: Satellite rainfall applications for surface hydrology, Springer, 3–22, https://doi.org/10.1007/978-90-481-2915-7_1, 2010.
Huffman, G. J., Gsfc, N., Bolvin, D. T., Braithwaite, D., Hsu, K., Joyce,
R., Kidd, C., Nelkin, E. J., Sorooshian, S., and Tan, J.: Algorithm Theoretical Basis Document (ATBD) Version 06 NASA Global Precipitation
Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG),
NASA, Greenbelt, MD, USA, https://www.researchgate.net/publication/302970086_Algorithm_Theoretical_Basis_Document_ATBD_version_44_for_the_NASA_Global_Precipitation_Measurement_GPM_Integrated_Multi-satellitE_Retrievals_for_GPM_I-MERG (last access: 27 April 2022), 2020.
Imhoff, R. O., van Verseveld, W. J., van Osnabrugge, B., and Weerts, A. H.:
Scaling Point-Scale (Pedo) transfer Functions to Seamless Large-Domain Parameter Estimates for High-Resolution Distributed Hydrologic Modeling: An
Example for the Rhine River, Water Resour. Res., 56, 1–28, https://doi.org/10.1029/2019WR026807, 2020.
Joshi, S., Kumar, K., Joshi, V., and Pande, B.: Rainfall variability and
indices of extreme rainfall-analysis and perception study for two stations
over Central Himalaya, India, Nat. Hazards, 72, 361–374,
https://doi.org/10.1007/s11069-013-1012-4, 2014.
Karssenberg, D.: Land surface process modelling with Python,
http://karssenberg.geo.uu.nl/labsAnswers/ (last access: 15 May 2022), 2014.
Karssenberg, D., Schmitz, O., Salamon, P., de Jong, K., and Bierkens, M. F. P.: A software framework for construction of process-based stochastic spatio-temporal models and data assimilation, Environ. Model. Softw., 25,
489–502, https://doi.org/10.1016/j.envsoft.2009.10.004, 2010.
Kimani, M. W., Hoedjes, J. C. B., and Su, Z.: An assessment of satellite-derived rainfall products relative to ground observations over
East Africa, Remote Sens., 9, 430, https://doi.org/10.3390/rs9050430, 2017.
Kirschbaum, D., Adler, R., Adler, D., Peters-Lidard, C., and Huffman, G.:
Global Distribution of Extreme Precipitation and High-Impact Landslides in
2010 Relative to Previous Years, Hydrometeorology, 3, 1536–1551,
https://doi.org/10.1175/JHM-D-12-02.1, 2012.
Kirschbaum, D., Stanley, T., and Zhou, Y.: Spatial and temporal analysis of a
global landslide catalog, Geomorphology, 249, 4–15, https://doi.org/10.1016/j.geomorph.2015.03.016, 2015.
Kirschbaum, D. B., Adler, R., Yang, A. E., Ae, H., Ae, S. H., Lerner-Lam, A., Kirschbaum, D. B., Lerner-Lam, Á. A., Adler, R., Hong, Y., and Hill, S.: A global landslide catalog for hazard applications: method, results, and
limitations, Nat. Hazards, 52, 561–575, https://doi.org/10.1007/s11069-009-9401-4, 2010.
Marino, P., Peres, D. J., Cancelliere, A., Greco, R., and Bogaard, T. A.:
Soil moisture information can improve shallow landslide forecasting using
the hydrometeorological threshold approach, Landslides, 17, 2041–2054, https://doi.org/10.1007/s10346-020-01420-8, 2020.
Melillo, M., Brunetti, M. T., Peruccacci, S., Gariano, S. L., Roccati, A.,
and Guzzetti, F.: A tool for the automatic calculation of rainfall thresholds for landslide occurrence, Environ. Model. Softw., 105, 230–243, https://doi.org/10.1016/j.envsoft.2018.03.024, 2018.
Mirus, B., Morphew, M., and Smith, J.: Developing Hydro-Meteorological Thresholds for Shallow Landslide Initiation and Early Warning, Water, 10,
1274, https://doi.org/10.3390/w10091274, 2018.
Moeyersons, J.: A possible causal relationship between creep and sliding on
Rwaza Hill, southern Rwanda, Earth Surf. Proc. Land., 14, 597–614, https://doi.org/10.1002/esp.3290140615, 1989.
Monsieurs, E., Kirschbaum, D. B., Tan, J., Maki Mateso, J.-C., Jacobs, L.,
Plisnier, P.-D., Thiery, W., Umutoni, A., Musoni, D., Bibentyo, T. M., Ganza, G. B., Mawe, G. I., Bagalwa, L., Kankurize, C., Michellier, C., Stanley, T., Kervyn, F., Kervyn, M., Demoulin, A., and Dewitte, O.: Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift, J. Hydrometeorol., 19, 1507–1528, https://doi.org/10.1175/JHM-D-18-0103.1, 2018a.
Monsieurs, E., Liesbet, J., Michellier, C., Tchangabo, B. J., Ganza, B. G.,
Bibentyo, M. T., Kervyn, M., Mateso, M. J.-C., Nkurunziza, P., Ndayisenga, A., Buzera, K. C., Nahimana, L., Wim, T., Demoulin, A., Kervyn, M., and Dewitte, O.: Landslide inventory for hazard assessment in a data – poor
context: a regional-scale approach in a tropical African environment,
Landslides, 15, 2195–2209, https://doi.org/10.1007/s10346-018-1008-y, 2018b.
Monsieurs, E., Dewitte, O., and Demoulin, A.: A susceptibility-based rainfall threshold approach for landslide occurrence, Nat. Hazards Earth Syst. Sci., 19, 775–789, https://doi.org/10.5194/nhess-19-775-2019, 2019a.
Monsieurs, E., Dewitte, O., Depicker, A., and Demoulin, A.: Towards a
Transferable Antecedent Rainfall – Susceptibility Threshold Approach for
Landsliding, Water, 11, 2202, https://doi.org/10.3390/W11112202, 2019b.
Mostbauer, K., Kaitna, R., Prenner, D., and Hrachowitz, M.: The temporally
varying roles of rainfall, snowmelt and soil moisture for debris flow
initiation in a snow-dominated system, Hydrol. Earth Syst. Sci., 22,
3493–3513, https://doi.org/10.5194/hess-22-3493-2018, 2018.
Nsengiyumva, J. B. and Valentino, R.: Predicting landslide susceptibility
and risks using GIS-based machine learning simulations, case of upper
Nyabarongo catchment, Geomatics, Nat. Hazards Risk, 11, 1250–1277,
https://doi.org/10.1080/19475705.2020.1785555, 2020.
Nsengiyumva, J. B., Luo, G., Nahayo, L., Huang, X., and Cai, P.: Landslide
susceptibility assessment using spatial multi-criteria evaluation model in
Rwanda, Int. J. Environ. Res. Publ. Health, 15, 243, https://doi.org/10.3390/ijerph15020243, 2018.
Owe, M., de Jeu, R., and Walker, J.: A methodology for surface soil moisture
and vegetation optical depth retrieval using the microwave polarization
difference index, IEEE T. Geosci. Remote, 39, 1643–1654, https://doi.org/10.1109/36.942542, 2001.
Owe, M., de Jeu, R., and Holmes, T.: Multisensor historical climatology of
satellite-derived global land surface moisture, J. Geophys. Res.-Earth, 113, 1–17, https://doi.org/10.1029/2007JF000769, 2008.
Peres, D. J. and Cancelliere, A.: Comparing methods for determining landslide early warning thresholds: potential use of non-triggering rainfall for locations with scarce landslide data availability, Landslides, 18, 3135–3147, https://doi.org/10.1007/s10346-021-01704-7, 2021.
Peres, D. J., Cancelliere, A., Greco, R., and Bogaard, T. A.: Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds, Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018, 2018.
Peruccacci, S., Brunetti, M. T., Gariano, S. L., Melillo, M., Rossi, M., and
Guzzetti, F.: Rainfall thresholds for possible landslide occurrence in Italy, Geomorphology, 290, 39–57, https://doi.org/10.1016/j.geomorph.2017.03.031, 2017.
Petley, D.: Global patterns of loss of life from landslides, Geology, 40, 927–930, https://doi.org/10.1130/G33217.1, 2012.
Postance, B. and Hillier, J.: Comparing threshold definition techniques for
rainfall-induced landslides: A national assessment using radar rainfall, Earth Surf. Proc. Land., 560, 553–560, https://doi.org/10.1002/esp.4202, 2017.
Prenner, D., Kaitna, R., Mostbauer, K., and Hrachowitz, M.: The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow
Susceptibility in an Alpine Environment, Water Resour. Res., 54, 6822–6843, https://doi.org/10.1029/2018WR022985, 2018.
Prenner, D., Hrachowitz, M., and Kaitna, R.: Trigger characteristics of
torrential flows from high to low alpine regions in Austria, Sci. Total
Environ., 658, 958–972, https://doi.org/10.1016/j.scitotenv.2018.12.206, 2019.
Rodell, M., Houser, P. R., Gottschalck, J., Cosgrove, B., Radakovich, J.,
Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data Assimilation System, Am. Meteorol. Soc., 85, 381–394, 2004.
Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D., Hou, Y.-T., Chuang, H., and Iredell, M.: The NCEP climate forecast system
version 2, J. Climate, 27, 2185–2208, 2014.
Schellekens, J.: WFlow Documentation, OpenStreams, https://buildmedia.readthedocs.org/media/pdf/wflow/latest/wflow.pdf (last access: 5 May 2022), 2021.
Schellekens, J., Euser, T., Winsemius, H., Thiange, C., and Bouaziz, L.:
Openstreams/wflow: Unstable-Master, https://github.com/openstreams/wflow (last access: 5 May 2022), 2019.
Sekaranom, A. B., Suarma, U., and Nurjani, E.: Climate extremes over the
maritime continent and their associations with Madden-Jullian Oscillation,
IOP Conf. Ser. Earth Environ. Sci., 451, https://doi.org/10.1088/1755-1315/451/1/012006, 2020.
Sidle, R. C., Greco, R., and Bogaard, T.: Overview of landslide hydrology,
Water, 11, 11–13, https://doi.org/10.3390/w11010148, 2019.
Tank, A., Zwiers, F., and Zhang, X.: Guidelines on Analysis of extremes in a
changing climate, World Meteorol. Organ.,
http://202.90.199.118/ID/documents/WCDMP_72_TD_1500_en_1.pdf (last access: 25 March 2022), 2009.
Thomas, M. A., Collins, B. D., and Mirus, B. B.: Assessing the Feasibility of
Satellite-Based Thresholds for Hydrologically Driven Landsliding, Water
Resour. Res., 55, 9006–9023, https://doi.org/10.1029/2019WR025577, 2019.
Thomas, M. A., Mirus, B. B., and Smith, J. B.: Hillslopes in humid-tropical
climates aren't always wet: Implications for hydrologic response and landslide initiation in Puerto Rico, Hydrol. Process., 34, 4307–4318, https://doi.org/10.1002/hyp.13885, 2020.
Uwihirwe, J.: Data underlying the research of Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda, TU Delft [data set], https://doi.org/10.4121/15040446.v1, 2021.
Uwihirwe, J., Hrachowitz, M., and Bogaard, T. A.: Landslide precipitation
thresholds in Rwanda, Landslides, 17, 2469–2481, https://doi.org/10.1007/s10346-020-01457-9, 2020.
Uwihirwe, J., Hrachowitz, M., and Bogaard, T.: Integration of observed and model-derived groundwater levels in landslide threshold models in Rwanda, Nat. Hazards Earth Syst. Sci., 22, 1723–1742, https://doi.org/10.5194/nhess-22-1723-2022, 2022.
Valentino, R., Sobio, Y., Mizero, J., and Nsengiyumva, F.: Unstable road cut
slopes and design of retaining structures in the Rwandan context, Arab. J.
Geosci., 14, 1–17, https://doi.org/10.1007/s12517-021-07819-4, 2021.
Vernimmen, R. R. E., Hooijer, A., Mamenun, Aldrian, E., and van Dijk, A. I. J. M.: Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia, Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, 2012.
Wang, S., Zhang, K., van Beek, L. P. H., Tian, X., and Bogaard, T. A.: Physically-based landslide prediction over a large region: Scaling low-resolution hydrological model results for high-resolution slope stability assessment, Environ. Model. Softw., 1675, 104607, https://doi.org/10.1016/j.envsoft.2019.104607, 2019.
Zhao, B., Dai, Q., Han, D., Zhang, J., Zhuo, L., and Berti, M.: Application
of hydrological model simulations in landslide predictions, Landslides,
17, 877–891, https://doi.org/10.1007/s10346-019-01296-3, 2020.
Zhuo, L., Dai, Q., Han, D., Chen, N., Zhao, B., and Berti, M.: Evaluation of
Remotely Sensed Soil Moisture for Landslide Hazard Assessment, IEEE J. Select. Top. Appl. Earth Obs. Remote Sens., 12, 162–173,
https://doi.org/10.1109/JSTARS.2018.2883361, 2019.
Short summary
This study compared gauge-based and satellite-based precipitation products. Similarly, satellite- and hydrological model-derived soil moisture was compared to in situ soil moisture and used in landslide hazard assessment and warning. The results reveal the cumulative 3 d rainfall from the NASA-GPM to be the most effective landslide trigger. The modelled antecedent soil moisture in the root zone was the most informative hydrological variable for landslide hazard assessment and warning in Rwanda.
This study compared gauge-based and satellite-based precipitation products. Similarly,...
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