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Manual on sea level measurement and ... - unesdoc - Unesco

Manual on sea level measurement and ... - unesdoc - Unesco

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Sea Level Measurement <strong>and</strong> Interpretati<strong>on</strong>Optimizati<strong>on</strong> of tide-staff <strong>measurement</strong>sA bench-mark-<strong>level</strong>led tide-staff can be found inevery harbour. The Intergovernmental OceanographicCommissi<strong>on</strong> (IOC) of UNESCO has recommendedthe applicati<strong>on</strong> of tide-staff <strong>measurement</strong>s for qualityc<strong>on</strong>trol of <strong>sea</strong> <strong>level</strong> <strong>measurement</strong>s made fromaut<strong>on</strong>omous instrumentati<strong>on</strong> (IOC, 2002). However,no reports are available <strong>on</strong> the optimal quantumof tide-staff <strong>measurement</strong>s to be made, nor themost appropriate sequence of such <strong>measurement</strong>sin relati<strong>on</strong> to spring/neap cycles for their use inoptimizing quality c<strong>on</strong>trol. Thus, at present, lack ofclarity exists as to what c<strong>on</strong>stitutes a ‘sufficientlylarge’ <strong>and</strong> ‘representative’ data set to be used forthe c<strong>on</strong>structi<strong>on</strong> of the model. In an attempt to findan answer to these questi<strong>on</strong>s, we c<strong>on</strong>structed severalmodel equati<strong>on</strong>s of the type menti<strong>on</strong>ed above,wherein data sets (acquired at 15-minute intervals)corresp<strong>on</strong>ding to differing tidal cycles during neap<strong>and</strong> spring tides were used. We then examined theoptimal number of tidal cycles <strong>and</strong> their neap/springrelati<strong>on</strong>ships in achieving stabilizati<strong>on</strong> of the modelparameters G <strong>and</strong> O corresp<strong>on</strong>ding to each of thesemodel equati<strong>on</strong>s (Figure 2).In this study, it was observed that, in the case ofneap tide <strong>measurement</strong>s (indicated by ¥ <strong>on</strong> thegraphs), even after several tidal cycles, the valuesof G <strong>and</strong> O never stabilized (i.e. the values did notlie <strong>on</strong> a line parallel to the x-axis). However, unlikeneap tide, spring tide <strong>measurement</strong>s (indicated by_ <strong>on</strong> the graphs) provided significantly improvedresults. In this case, G <strong>and</strong> O stabilized with the useof the data set corresp<strong>on</strong>ding to a 3-tidal cycle (<strong>on</strong>e<strong>and</strong> half days), <strong>and</strong> the incorporati<strong>on</strong> of more tidalcycles for the c<strong>on</strong>structi<strong>on</strong> of the model did notprovide any added benefits in terms of stabilizati<strong>on</strong>of G <strong>and</strong> O. We then examined whether centeringthe data set <strong>on</strong> spring tide peak could reduce thesize of the data set for c<strong>on</strong>structi<strong>on</strong> of the model.With reference to Figure 2; points a, b, c, d, e, f, <strong>and</strong>g represent, respectively, the results achieved withthe use of quarter-hourly data sets acquired at/nearspring tide between points 4–5 (1 cycle), 5–6 (1cycle), 4–6 (2 cycles), 3–7 (4 cycles), 2–8 (6 cycles),1–9 (8 cycles), <strong>and</strong> 0–10 (10 cycles). It is seen that,in relati<strong>on</strong> to several of the G <strong>and</strong> O values obtainedfrom the models, the use of data sets corresp<strong>on</strong>dingto a single cycle that encompasses the largesttidal range (bounded by points 4–5 at spring tide)provided stabilized G <strong>and</strong> O values (indicated by a<strong>on</strong> the Gain <strong>and</strong> Offset graphs). However, data setscorresp<strong>on</strong>ding to another adjacent single cycle thatrepresented a much smaller tidal range (bounded bypoints 5–6 at spring tide) provided G <strong>and</strong> O values(indicated by b <strong>on</strong> the Gain <strong>and</strong> Offset graphs) thatdiffered significantly from the stabilized G <strong>and</strong> Ovalues. In many cases a single tidal cycle at springtide may not represent the maximum range of thewater column height. This explains why sometimes adata set corresp<strong>on</strong>ding to three or more tidal cyclesduring a given spring tide becomes necessary toachieve stabilizati<strong>on</strong> of the model parameters G <strong>and</strong>O. It may therefore be c<strong>on</strong>cluded that the crucialfactor, which determines stabilizati<strong>on</strong> of the modelparameters G <strong>and</strong> O is the incorporati<strong>on</strong> of data setsfrom that (those) tidal cycle(s) which encompassesthe largest range of water column height during agiven spring tide. Figure 3 provides the chart-datumreferenced<strong>sea</strong> <strong>level</strong> <strong>measurement</strong>s obtained fromTakoradi harbour during the period 1 July 2004 to30 June 2005 based <strong>on</strong> the above scheme.C<strong>on</strong>clusi<strong>on</strong>sThe primary objective of our present studies, based<strong>on</strong> the GLOSS <strong>sea</strong> <strong>level</strong> data from Takoradi harbour,was to examine a method to improve the accuracy ofbottom-pressure-based coastal <strong>and</strong> estuarine <strong>sea</strong> <strong>level</strong><strong>measurement</strong>s. In this method, time-series bottompressure <strong>measurement</strong>s are translated to chart-datumreferenced<strong>sea</strong> <strong>level</strong> elevati<strong>on</strong> through post-processingusing a statistically derived mathematical model. Thismodel is c<strong>on</strong>structed from a set of successive periodic(15-minute intervals) bottom pressure <strong>measurement</strong>sover a few tidal cycles during the spring tide, whichencompasses the maximum span of water columnFigure 3. Chart-datum-referenced <strong>sea</strong> <strong>level</strong> <strong>measurement</strong>s from Takoradi harbour, Ghana.70IOC <str<strong>on</strong>g>Manual</str<strong>on</strong>g>s <strong>and</strong> Guides No 14 vol IV

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