The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin
Open accessAbstract
Pakistan has suffered a devastating flood disaster in 2010. In the Kabul River basin (92 605 km2), large-scale riverine and flash floods caused destructive damage with more than 1100 casualties. This study analysed rainfall–runoff and inundation in the Kabul River basin with a newly developed model that simulates the processes of rainfall–runoff and inundation simultaneously based on two-dimensional diffusion wave equations. The simulation results showed a good agreement with an inundation map produced based on MODIS for large-scale riverine flooding. In addition, the simulation identified flash flood-affected areas, which were confirmed to be severely damaged based on a housing damage distribution map. Since the model is designed to be used even immediately after a disaster, it can be a useful tool for analysing large-scale flooding and to provide supplemental information to agencies for relief operations. Editor Z.W. Kundzewicz Citation Sayama, T., Ozawa, G., Kawakami, T., Nabesaka, S. and Fukami, K., 2012. Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin. Hydrological Sciences Journal, 57 (2), 298–312.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Numerical recipes in Fortran (The art of scientific computing)
Ames, W. F., & Brezinski, C. (1993) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(93)90043-t · Cited by 4,304
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
A simple raster-based model for flood inundation simulation
Bates, P. D., & De Roo, A. P. J. (2000) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00278-x · Cited by 1,460
Bates, P. D., Horritt, M. S., & Fewtrell, T. J. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.03.027 · Cited by 1,273
A global hydrological model for deriving water availability indicators: model tuning and validation
Döll, P., Kaspar, F., & Lehner, B. (2003) · Journal of Hydrology · doi:10.1016/s0022-1694(02)00283-4 · Cited by 1,174
A physically based description of floodplain inundation dynamics in a global river routing model
Yamazaki, D., Kanae, S., Kim, H., & Oki, T. (2011) · Water Resources Research · doi:10.1029/2010wr009726 · Cited by 932
A variable order Runge-Kutta method for initial value problems with rapidly varying right-hand sides
Cash, J. R., & Karp, A. H. (1990) · ACM Transactions on Mathematical Software · doi:10.1145/79505.79507 · Cited by 767
USHIO, T., SASASHIGE, K., KUBOTA, T., SHIGE, S., OKAMOTO, K., AONASHI, K., INOUE, T., TAKAHASHI, N., IGUCHI, T., KACHI, M., et al. (2009) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj.87a.137 · Cited by 623
A reservoir operation scheme for global river routing models
Hanasaki, N., Kanae, S., & Oki, T. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.11.011 · Cited by 532
Global projections of changing risks of floods and droughts in a changing climate
HIRABAYASHI, Y., KANAE, S., EMORI, S., OKI, T., & KIMOTO, M. (2008) · Hydrological Sciences Journal · doi:10.1623/hysj.53.4.754 · Cited by 455
Cited by
Syldon, P., Shrestha, B. B., Miyamoto, M., Tamakawa, K., & Nakamura, S. (2024) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2024.101687 · Cited by 31
Metadata
- Authors
- Sayama, T., Ozawa, G., Kawakami, T., Nabesaka, S., & Fukami, K.
- Venue
- Hydrological Sciences Journal
- Publisher
- Informa UK Limited
- Published
- 2012-02
- Volume
- 57
- Issue
- 2
- Pages
- 298-312
- ISSN
- 0262-6667 (ISSN-L)
- 2150-3435
- OpenAlex
- W1994787627
- Cited by
- 377
- References
- 19
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin. https://app.cochat.ai/papers/10.1080/02626667.2011.644245
- The paper
- Sayama, T., Ozawa, G., Kawakami, T., Nabesaka, S., & Fukami, K. (2012). Rainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basin. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2011.644245
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.