Temporal changes in the ebb-tidal delta bathymetry of Imagire-guchi inlet in Japan

Okabe, Takumi; Kato, Shigeru

doi:10.1080/21664250.2018.1503403

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…In 2001, Lionde‐Conhane and Lionde‐Marrambajane reaches had central canal base depths above 22 m in most parts of the canal. This was likely caused by sediment deposition (Okabe & Kato, 2018). These results are also consistent with Juez et al (2017) and Kaczmarek et al (2017).…”

Section: Resultsmentioning

confidence: 99%

Bathymetry changes caused by sedimentation in an unlined canal of the Chókwè irrigation scheme, Mozambique

Sousa

Raude

Wambua

et al. 2022

Irrigation and Drainage

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Bathymetric changes have been observed over the years in the Chókwè irrigation scheme (CIS) and little is known about their cause. This study assessed bathymetric variations that have occurred since 2001, when the scheme was last rehabilitated. The bathymetry of canal beds and banks was analysed using GPS‐Rover surveying equipment to determine cross‐section and longitudinal profiles. Water level measurements were performed using staff gauges at nine different sampling stations. Data sets for 2001, 2016 and 2019 were considered. Canal depth changes were captured, and density plots generated. Bathymetric changes of cross‐sectional and longitudinal profiles, slope trend analysis models, canal depth changes and water depth variation, were assessed. Results suggest cross‐sectional and longitudinal bathymetric profiles are affected by sediment accumulation. The depths of canal beds varied from 0.5 to 2.0 m over a span of more than 80 km. Trend analysis models indicated good accuracy for fits in all three reaches in 2001, 2016 and 2019. The forecast accuracy predictors MAPE, MAD and MSD were all found to have minimal values within the acceptable range of 1 and 3 for all the years and sectors. The water depth in the canal showed considerable variation within and across each sampling point and station, varying from 3.5 to less than 1.2 m. These findings will play a significant role in the study of water flow and sedimentation processes in the CIS.

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Section: Resultsmentioning

confidence: 99%

Bathymetry changes caused by sedimentation in an unlined canal of the Chókwè irrigation scheme, Mozambique

Sousa

Raude

Wambua

et al. 2022

Irrigation and Drainage

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Long-term observation of current at the mouth of Tokyo Bay

Hosokawa

Okura

2022

Coastal Engineering Journal

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Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study

Uciechowska-Grakowicz

Herrera-Granados

2021

Remote Sensing

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In this contribution, interpolation methods were assessed to build the bathymetry of 200 km of the Odra River in South Poland. The River Bed Mapping (RBM) was carried out surveying the depth of several reaches of the canalized part of the river using an Global Navigation Satellite System (GNSS) with an echo sounder as well as two navigation schemes. The values from the interpolation were compared with the data from a classical cross-sectional survey as part of the ISOK (Polish acronym for Information System of Country Protection Against Extraordinary Hazards) project. Two statistical errors between the interpolation values and the ISOK information were estimated, namely, the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). Thanks to the presented analysis, it was possible to compare and analyze which interpolation method fits the best for the batymetric surveying of a shallow river. For this specific case study, the TIN (Triangular Irregular Network) and the NN (Natural Neighbor) methods generates the most accurate RBM.

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Temporal changes in the ebb-tidal delta bathymetry of Imagire-guchi inlet in Japan

Cited by 3 publications

References 32 publications

Bathymetry changes caused by sedimentation in an unlined canal of the Chókwè irrigation scheme, Mozambique

Bathymetry changes caused by sedimentation in an unlined canal of the Chókwè irrigation scheme, Mozambique

Long-term observation of current at the mouth of Tokyo Bay

Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study

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