Bathymetric Survey for Enhancing the Volumetric Capacity of Tagwai Dam in Nigeria via Leapfrogging Approach

Ibrahim, Pius Onoja; Sternberg, Harald

doi:10.3390/geomatics1020014

Cited by 6 publications

(3 citation statements)

References 28 publications

(31 reference statements)

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“…Users can achieve accuracies in the order of 1-3 m, depending on the correction transmission method applied under the DGPS system [46,47]. The DPGS system enables position determination with accuracies considerably exceeding the autonomous GPS positioning, which makes it suitable for use, e.g., in hydrography for hydroacoustic system positioning [48][49][50], cartography [51], locating mobile devices [52,53], air navigation, including the use of UAVs [54,55], marine navigation, primarily in coastal shipping and during the Dynamic Positioning (DP) [56][57][58], bathymetric surveys of harbours and inland, as well as marine waters [59], geodetic surveys of the coastal zone [60,61], the autonomous vehicle positioning process [62][63][64], precision agriculture for reliable yield mapping or crop soil variability [65] or even for studying glacier changes [66] and displacements of, e.g., dams [67].…”

Section: Hydrographic Surveys Are Among the Navigation Applications That Commonly Use Global Navigation Satellite Systems (Gnss) Accordinmentioning

confidence: 99%

Study on the Positioning Accuracy of GNSS/INS Systems Supported by DGPS and RTK Receivers for Hydrographic Surveys

Stateczny

Specht

et al. 2021

Energies

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Hydrographic surveys, in accordance with the International Hydrographic Organization (IHO) S-44 standard, can be carried out in the following five orders: Exclusive, Special, 1a, 1b and 2, for which minimum accuracy requirements for the applied positioning system have been set out. They are as follows, respectively: 1, 2, 5, 5 and 20 m, with a confidence level of 95% in two-dimensional space. The Global Navigation Satellite System (GNSS) network solutions (accuracy: 2–3 cm (p = 0.95)) and the Differential Global Positioning System (DGPS) (accuracy: 1–2 m (p = 0.95)) are now commonly used positioning methods in hydrography. Due to the fact that a new order of hydrographic surveys has appeared in the IHO S-44 standard from 2020—Exclusive, looking at the current positioning accuracy of the DGPS system, it is not known whether it can be used in it. The aim of this article is to determine the usefulness of GNSS/Inertial Navigation Systems (INS) for hydrographic surveys. During the research, the following two INSs were used: Ekinox2-U and Ellipse-D by the SBG Systems, which were supported by DGPS and Real Time Kinematic (RTK) receivers. GNSS/INS measurements were carried out during the manoeuvring of the Autonomous/Unmanned Surface Vehicle (ASV/USV) named “HydroDron” on Kłodno lake in Zawory. The acquired data were processed using the mathematical model that allows us to assess whether any positioning system at a given point in time meets (or not) the accuracy requirements for each IHO order. The model was verified taking into account the historical and current test results of the DGPS and RTK systems. Tests have confirmed that the RTK system meets the requirements of all the IHO orders, even in situations where it is not functioning 100% properly. Moreover, it was proven that the DGPS system does not only meet the requirements provided for the most stringent IHO order, i.e., the Exclusive Order (horizontal position error ≤ 1 m (p = 0.95)). Statistical analyses showed that it was only a few centimetres away from meeting this criterion. Therefore, it can be expected that soon it will be used in all the IHO orders.

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Section: Hydrographic Surveys Are Among the Navigation Applications That Commonly Use Global Navigation Satellite Systems (Gnss) Accordinmentioning

confidence: 99%

Study on the Positioning Accuracy of GNSS/INS Systems Supported by DGPS and RTK Receivers for Hydrographic Surveys

Stateczny

Specht

et al. 2021

Energies

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“…A more significant percentage of the sediment is trapped at the dam axis by erecting an embankment (Samaila-Ija et al 2014;Estigoni et al 2014;Thomas et al 2002). Bathymetry and topography surveys are preferable approaches to determine the bulk of sediment deposits in dams (Carvalho 1999;Chung et al 2009;Estigoni et al 2014;Girish et al 2014;Ibrahim and Sternberg, 2021). Understanding dam bathymetry is critical for reservoir and environmental monitoring (Conner and Tonia 2014), with a coincident delineation of the shoreline at the instant of the survey (Khattab et al 2017;Temitope and Kehinde 2019).…”

Section: Introductionmentioning

confidence: 99%

Modelling topo-bathymetric surface using a triangulation irregular network (TIN) of Tunga Dam in Nigeria

et al. 2022

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Dams are built to store the water flowing from upstream to downstream. Sedimentation and siltation are some of the major problems affecting the storage capacity of dams. For effective management, bathymetric and topographic data are used to assess this challenge. In the Mambila Plateau of Taraba, Nigeria, the Tunga Dam is a multifunctional reservoir that serves as a small hydropower, irrigation and domestic use dam. Nonetheless, it is not operating to its full potential, leading to issues such as frequent stoppage of the turbine, low irrigation activities and a shortage of water supply for domestic use. To determine the basin’s approximate present volume, a topographic and bathymetric survey was conducted using a differential global positioning system (DGPS)-Hi-Target V30 and a single beam echosounder to acquire the real-time data. The data were processed, and the digital elevation model (DEM) of the study area was modelled using a triangulation irregular network algorithm (TIN). The deepest point of the dam was found to be 21.25 m, and the volumetric capacity was assessed based on the elevations. The tessellation data format adequately represents the reservoir DEM for future purposes to better enhance the reservoir capacity. Hence, the research suggested that dredging should be carried out to boost the basin’s capacity. Likewise, an embankment can be constructed around the dam to enhance the basin’s storage capacity. The dredged material can be used to achieve the barrier’s building, which will reduce the overall cost.

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“…For example, a continental DEM or an ocean-wide bathymetry do not require resolving details smaller than several kilometers. On the other hand, the study of coastal tidal dynamics or coastal geomorphometry, or lake or water dam bathymetry may require resolving details of tens of meters or even meters [4,[39][40][41][42]. When dealing with large areas involving continental scale features data size grows rapidly making it almost impossible to efficiently estimate elevation at points where data are not available, hence techniques are required that are able to efficiently handle large data sets.…”

mentioning

confidence: 99%

Multigrid/Multiresolution Interpolation: Reducing Oversmoothing and Other Sampling Effects

Rodríguez‐Pérez

Sánchez-Carnero

2022

Geomatics

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Traditional interpolation methods, such as IDW, kriging, radial basis functions, and regularized splines, are commonly used to generate digital elevation models (DEM). All of these methods have strong statistical and analytical foundations (such as the assumption of randomly distributed data points from a gaussian correlated stochastic surface); however, when data are acquired non-homogeneously (e.g., along transects) all of them show over/under-smoothing of the interpolated surface depending on local point density. As a result, actual information is lost in high point density areas (caused by over-smoothing) or artifacts appear around uneven density areas (“pimple” or “transect” effects). In this paper, we introduce a simple but robust multigrid/multiresolution interpolation (MMI) method which adapts to the spatial resolution available, being an exact interpolator where data exist and a smoothing generalizer where data are missing, but always fulfilling the statistical requirement that surface height mathematical expectation at the proper working resolution equals the mean height of the data at that same scale. The MMI is efficient enough to use K-fold cross-validation to estimate local errors. We also introduce a fractal extrapolation that simulates the elevation in data-depleted areas (rendering a visually realistic surface and also realistic error estimations). In this work, MMI is applied to reconstruct a real DEM, thus testing its accuracy and local error estimation capabilities under different sampling strategies (random points and transects). It is also applied to compute the bathymetry of Gulf of San Jorge (Argentina) from multisource data of different origins and sampling qualities. The results show visually realistic surfaces with estimated local validation errors that are within the bounds of direct DEM comparison, in the case of the simulation, and within the 10% of the bathymetric surface typical deviation in the real calculation.

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Bathymetric Survey for Enhancing the Volumetric Capacity of Tagwai Dam in Nigeria via Leapfrogging Approach

Cited by 6 publications

References 28 publications

Study on the Positioning Accuracy of GNSS/INS Systems Supported by DGPS and RTK Receivers for Hydrographic Surveys

Study on the Positioning Accuracy of GNSS/INS Systems Supported by DGPS and RTK Receivers for Hydrographic Surveys

Modelling topo-bathymetric surface using a triangulation irregular network (TIN) of Tunga Dam in Nigeria

Multigrid/Multiresolution Interpolation: Reducing Oversmoothing and Other Sampling Effects

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