scholarly journals Single beam bathymetric data modelling techniques for accurate maintenance dredging

2014 ◽  
Vol 17 (2) ◽  
pp. 189-195 ◽  
Author(s):  
Ahmed I. EL-Hattab
1989 ◽  
Vol 4 (4) ◽  
pp. 205-215
Author(s):  
Daniel T. Lee

Traditional data modelling techniques of DSS and modern knowledge representation methodologies of ES are inconsistent. A new unifying model is needed for integrating the two systems into a unified whole. After a brief review of data modelling techniques and knowledge representation methodologies, the unifying model will be described and integrated systems will be used to exemplify the usefulness of the unifying model.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2926 ◽  
Author(s):  
Yeon Yeu ◽  
Jurng-Jae Yee ◽  
Hong Yun ◽  
Kwang Kim

Bathymetric mapping is traditionally implemented using shipborne single-beam, multi-beam, and side-scan sonar sensors. Procuring bathymetric data near coastlines using shipborne sensors is difficult, however, this type of data is important for maritime safety, marine territory management, climate change monitoring, and disaster preparedness. In recent years, the bathymetric light detection and ranging (LiDAR) technique has been tried to get seamless geospatial data from land to submarine topography. This paper evaluated the accuracy of bathymetry generated near coastlines from satellite altimetry-derived gravity anomalies and multi-beam bathymetry using a tuning density contrast of 5000 kg/m3 determined by the gravity-geologic method. Comparing with the predicted bathymetry of using only multi-beam depth data, 78% root mean square error from both multi-beam and airborne bathymetric LiDAR was improved in shallow waters of nearshore coastlines of the western Korea. As a result, the satellite-derived bathymetry estimated from the multi-beam and the airborne bathymetric LiDAR was enhanced to the accuracy of about 0.2 m.


2000 ◽  
Vol 56 (3) ◽  
pp. 250-278 ◽  
Author(s):  
Kalervo Järvelin ◽  
Peter Ingwersen ◽  
Timo Niemi

This article presents a novel user‐oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified through advanced data modelling techniques. The interface is declarative and at a high level. Therefore it is easy to use, flexible and extensible. It enables end users to perform basic informetric ad hoc calculations easily and often with much less effort than in contemporary online retrieval systems. It also provides several fruitful generalisations of typical informetric measurements like impact factors. These are based on substituting traditional foci of analysis, for instance journals, by other object types, such as authors, organisations or countries. In the interface, bibliographic data are modelled as complex objects (non‐first normal form relations) and terminological and citation networks involving transitive relationships are modelled as binary relations for deductive processing. The interface is flexible, because it makes it easy to switch focus between various object types for informetric calculations, e.g. from authors to institutions. Moreover, it is demonstrated that all informetric data can easily be broken down by criteria that foster advanced analysis, e.g. by years or content‐bearing attributes. Such modelling allows flexible data aggregation along many dimensions. These salient features emerge from the query interface‘s general data restructuring and aggregation capabilities combined with transitive processing capabilities. The features are illustrated by means of sample queries and results in the article.


Author(s):  
John Hughes Clarke

Bathymetric data are needed to derive the morphological criteria that define the extent of the juridical continental shelf. Two features in particular, the '"foot of slope" and the 2500-m contour, must be defined. The previous chapter considered historical methods of determining bathymetry. This chapter will cover the present day methods that can be used to better meet the need for accurate bathymetry. In order to satisfy the demands of UNCLOS, bathymetric data are required in depths ranging from about 200 m to more than 5000 m. Shallower depths, while useful for demonstrating the morphology of the physical continental shelf, do not bear any relevance to the delineation of juridical continental shelf boundaries, other than where they are required to establish the baseline. Alternate methods to derive bathymetry other than using sound are available. Those involving airborne electromagnetic methods (e.g., electromagnetic induction, red-green lasers, and inversion of sea surface radar images) are not capable of determining depths much in excess of 40 m. The only other method potentially useful for deriving deeper water bathymetry is through inversion of sea surface altimetry obtained from satellites. This will be discussed at the end of this chapter. The optimal method thus remains acoustic. The traditional approach has been to use single-beam echo sounders (see previous chapter). This chapter discusses the more modern '"swath" sonar techniques, which are becoming widely used. The great majority of historic bathymetry has been collected using the single-beam sounding approach. As discussed in chapter 9, this method has a number of limitations, three of the most critical of which are i. incomplete coverage; ii. uncertainty about the exact location of the first arrival of the acoustic pulse; and iii. distortion of short-wavelength topography. In order to achieve more complete coverage, better echo location, and higher spatial resolution, methods were devised to project acoustic energy both within narrower solid angles (figure 10.1) and while deriving this information over angular sectors extending further out from the side of the survey vessel. All the methods commonly applied involved scanning the seabed orthogonal to the ship heading. Sequential scans, accumulated as the ship progresses, form a corridor (or swath) of seabed information (figure 10.2).


1991 ◽  
Vol 33 (2) ◽  
pp. 134-142 ◽  
Author(s):  
HD Crockett ◽  
J Guynes ◽  
CW Slinkman

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Dariusz Popielarczyk ◽  
Tomasz Templin ◽  
Michał Łopata

Abstract Most of the inland lakes do not have up-to-date bathymetry. However, a significant progress in surveying technologies creates a possibility to quickly and accurately describe the underwater environment. Modern geodetic and global positioning techniques integrated with hydroacoustic systems provide a great opportunity to study the bottom shape with high resolution. Our study presents a reliable methodology for investigation of bathymetry and morphometric parameters with the use of GNSS positioning techniques and single beam echosounder. The research was implemented on the deepest, glacial reservoir in the central part of European Depression - Lake Hancza. Direct hydroacoustic and geodetic measurements completed by sediment study were conducted by the authors in 2010-2013. After performing a field survey the Digital Elevation Model was constructed and the new bathymetric map and morphometric card were elaborated. The maximum depth was confirmed to be 105.55 m. The final conclusions show that the available bathymetric data and morphometric parameters of lakes are highly dependent on the research methodology used, the precision and accuracy of measurement techniques, proper water level determination, digital elevation model and bathymetric map elaboration processes.


Author(s):  
Rajesh P. Dubey ◽  
S. Samarawickrama ◽  
P.P. Gunaratna ◽  
L. Halgahawatta ◽  
K.P.P. Pathirana ◽  
...  

The Haldia port is situated in the Hooghly estuary, 104 km downstream of Kolkata Port. As a result of high sedimentation, the navigational channel to the Haldia Port is maintained with great amount of dredging (25 MCM per Annum). The paper presents a study carried out to find a solution to improve the channel depth together with minimum maintenance dredging. A desk study was carried out to identify the historical formation of the estuary and the remedial measures implemented in the past. A detailed field investigation was carried out to obtain the relevant data for the calibration of numerical models. 1D (MIKE 11) river hydrodynamic modelling was carried out using the available bathymetric data to supply upstream boundary conditions for the 2D (MIKE 21) and 3D (MIKE 3) numerical models. Number of possible scenarios were tested through MIKE 21 hydrodynamic modelling to select more feasible options. Selected options were further assessed through morphodynamic and 3D hydrodynamic modelling to examine the long term sustainability of the proposed solutions. Finally, the option which comprise of; approach channel through Balari Passage & closure of the Shore Attached Channel was selected as the best option. The selected option was further studied taking navigational aspects, dredging efforts and construction sequence into consideration.


Teknik ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 210-217
Author(s):  
Nadya Oktaviani ◽  
Prayudha Hartanto ◽  
Danang Budi Susetyo ◽  
Hollanda Arief Kusuma ◽  
Yustisi Ardhitasari ◽  
...  

The coastal area is a dynamic environment influenced by atmosphere, land, and ocean interactions. Similarly, the position of coastlines is also changing due to natural and human-induced components, for instance, erosion, wave, daily tide, storm, and coastal development. In literature, coastline position can be identified based on proxies such as coastal features identified from an aerial photo or very high-resolution image and tidal datum-based indicators extracting from a ground survey. This research proposed a method in deriving datum-based coastline by integrating various bathymetric data, including single beam and multibeam echo sounding data, the National Digital Elevation Model, the national bathymetry data, as well as satellite-derived bathymetry data. The stacked curve spline tension method was applied to assimilate those various bathymetric data, and finally, the coastline was generated. Based on the accuracy assessment conducted, coastline similarity accuracy varies; namely, the LAT coastline had an accuracy of 29.28%, the MSL coastline was 65.45%, and the HAT coastline was 47.48%. These variations are due to several reasons, including the lack of input data, the density of depth data that varies greatly, the difference in data acquisition time between the data used for the LPI map and the data used in this study. Although the accuracy values obtained were not sufficiently high, the proposed method was quite promising to adopt. The method can be used as an alternative for the coastline model and overcome data, time, and cost limitations in providing national coastlines


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