The DOI matches its Crossref record.
Surface irrigation simulation models: a review
Abstract
This paper reviews the literature and results of more than one hundred published articles in scientific journals with respect to simulation of surface irrigation. The results showed that 53.4% of the simulations belong to furrow systems. It is 35.9% for border systems and 10.7% for basin irrigation. However, satisfactory simulations were 70.3%, 63.6%, and 54.5% for border, basin, and furrow systems, respectively. The priority of irrigation methods to simulate using hydrodynamic (HD) and other models is border, basin, and furrow irrigation. It is border, furrow, and basin for kinematic wave (KW) and volume balance (VB) models. Finally, this priority is basin, border, and furrow for zero inertia (ZI) model. Meanwhile, the models estimated advance and infiltration phases better than recession and runoff phases during an irrigation event.
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
Cited by
Alegbeleye, O. O., Singleton, I., & Sant’Ana, A. S. (2018) · Food Microbiology · doi:10.1016/j.fm.2018.01.003 · Cited by 616
Panis, G., & Carreon, J. R. (2016) · Algal Research · doi:10.1016/j.algal.2016.06.007 · Cited by 444
Review: Fullerene based acceptors for efficient bulk heterojunction organic solar cell applications
Ganesamoorthy, R., Sathiyan, G., & Sakthivel, P. (2017) · Solar Energy Materials and Solar Cells · doi:10.1016/j.solmat.2016.11.024 · Cited by 323
Valipour, M. (2016) · Meteorological Applications · doi:10.1002/met.1533 · Cited by 308
Self-citationCircular economy indicators in relation to eco-innovation in European regions
Smol, M., Kulczycka, J., & Avdiushchenko, A. (2017) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-016-1323-8 · Cited by 285
Metadata
- Authors
- Valipour, M., Sefidkouhi, M. A. G., & Eslamian, S.
- Venue
- International Journal of Hydrology Science and Technology
- Publisher
- Inderscience Publishers
- Published
- 2015
- Volume
- 5
- Issue
- 1
- Pages
- 51
- ISSN
- 2042-7808 (ISSN-L)
- 2042-7816
- OpenAlex
- W2207963357
- Cited by
- 188
- References
- 0
- FWCI
- 70.40
- Type
- journal article
- Language
- en
- Open access
- closed
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: Surface irrigation simulation models: a review. https://app.cochat.ai/papers/10.1504/ijhst.2015.069279
- The paper
- Valipour, M., Sefidkouhi, M. A. G., & Eslamian, S. (2015). Surface irrigation simulation models: a review. International Journal of Hydrology Science and Technology. https://doi.org/10.1504/ijhst.2015.069279
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.