The law of variation of the theoretical amplitude of tidal oscillation, and the elevation of this high water line in the various cross sections of tidal rivers

1891 ◽  
Vol 131 (5) ◽  
pp. 350-357
Author(s):  
L. D'Auria
1836 ◽  
Vol 126 ◽  
pp. 217-266 ◽  
Keyword(s):  
The Moon ◽  

The discussions of tide observations which I have had the honour to lay before the Society on different occasions, have been instituted with reference to the transit of the moon immediately preceding the time of high water. The Tables which I have thus prepared for London and Liverpool, in order to serve for predicting the phenomena, answer the purpose for which they were intended, and may also afford some notions with respect to the laws of the phenomena, and to the degree of accuracy of which the inquiry is susceptible, impeded by the rude manner in which the observations are made, and by accidents. But when the discussion is instituted with reference to the transit immediately preceding the time of high water, the law of the variations in the interval between the moon’s transit and the time of high water is obscured. The discussion of nineteen years’ observations of tides at the London Docks, which I now offer, has been made with reference to the moon’s transit two days previous, and will, I trust, be viewed with interest, for it proves that the laws to which the phenomena are subject accord generally with the views propounded long since by Bernoulli.


Author(s):  
Kate Purcell

This chapter looks at debates over whether the charted or ‘actual’ low-water line constitutes the normal baseline in commentary considering the implications of climate-related coastal change for maritime jurisdiction. It suggests that there has been some conflation of legal lines with the geographical objects by reference to which they are constructed or described. This seems to have encouraged the attribution of the natural variability of features of the coastal environment to both cartographic constructs and legal limits. The chapter revisits the text and drafting history of UNCLOS and the 1958 Conventions to explain why the identification of natural objects and qualities with either or both cartographic and legal constructs misunderstands the role of charted geographical features in the law.


ZooKeys ◽  
2018 ◽  
Vol 807 ◽  
pp. 1-11
Author(s):  
Stefan Meng ◽  
Ulrich Bößneck

Gastrocoptaarmigerella (Reinhardt, 1877) has been described from Japan and is widespread in the Far East and China. Surprisingly, a few occurrences in central and western Asia have also become known. Forcart (1935) found G.armigerella in northern Iran. The authors found evidence of G.armigerella in western Tien Shan, Kyrgyzstan. The form from northern Tajikistan described by Schileyko (1984) as G.huttoniana agrees morphologically with G.armigerella as well. Gastrocoptahuttoniana is known from western India and the Himalayan region. The evidence of G.armigerella from central and western Asia has come thus far from drift material at the high water line in river floodplains which suggests that these are sub-fossil or fossil shells (Holocene or Pleistocene) which have been relocated. No living example of Gastrocopta has been found there as yet. Possibly the species is now extinct in this region. Gastrocoptatheeli (Westerlund, 1877) is the most widespread Gastrocopta in Eurasia. Its area ranges from the Caucasus to the Far East. The findings reported here are the first for this species in western Tien Shan.


The Present study highlights the changes in the coastal tract of Rameswaram island located between the geometric location, latitude 9° 10' to 9° 20' N and the longitude 79° 12' to 79° 30' E. Using Geospatial Technology, Long-term changes have noticed from digitized shorelines taken from Landsat imageries and SOI toposheet for the years 1968, 1978, 1988, 1999, 2009 and 2018. Digital Shoreline Analysis System (DSAS) an extension provided by USGS for ArcGIS used to cast transects perpendicular from the baseline, towards the shorelines. High water Line (HTL) has taken as shoreline in this study. The distance between the shorelines has taken from the cast transects plotted from the baseline. For the rate of change calculation, MATLAB component runtime utility for ArcGIS has used. Based on the Linear Regression Rate (LRR) the shore has classified into High Erosion, Low Erosion, Stable and Low Accretion, High Accretion zones. The island has a shoreline length of 78.4 km, and the studies found that 27.83 km (35.41%) of shoreline is accreting nature, 37.90 km (48.21%) of shoreline is stable, and 12.86 km (16.36 %) of shoreline tends to erode. During the field investigation identified that High amount of erosion occurred in the locations near Pamban, Tharavaithopu and Dhanushkodi. Also, Accretion identified over the locations Ayyanthopu, Natarajapuram and Arichumanai tip. Wind action is one of the physical parameters that induced the erosion in some location of this study area.


2020 ◽  
Vol 12 (9) ◽  
pp. 1437 ◽  
Author(s):  
Brandon T. Forbes ◽  
Geoffrey P. DeBenedetto ◽  
Jesse E. Dickinson ◽  
Claire E. Bunch ◽  
Faith A. Fitzpatrick

Floods affected approximately two billion people around the world from 1998–2017, causing over 142,000 fatalities and over 656 billion U.S. dollars in economic losses. Flood data, such as the extent of inundation and peak flood stage, are needed to define the environmental, economic, and social impacts of significant flood events. Ground-based global positioning system (GPS) surveys of post-flood high-water marks (HWMs) and topography are commonly used to define flood inundation and stage, but can be time-consuming, difficult, and expensive to conduct. Here, we demonstrate and test the use of small unmanned aircraft systems (sUAS) and close-range remote sensing techniques to collect high-accuracy flood data to define peak flood stage elevations and river cross-sections. We evaluate the elevation accuracy of the HWMs from sUAS surveys by comparison with traditional GPS surveys, which have acceptable accuracy for many post-flood assessments, at two flood sites on two small streams in the U.S. Mean elevation errors for the sUAS surveys were 0.07 m and 0.14 m for the semiarid and temperate sites, respectively; those values are similar to typical errors when measuring HWM elevations with GPS surveys. Results demonstrate that sUAS surveys of HWMs and cross-sections can be an accurate and efficient alternative to GPS surveys; we provide insights that can be used to decide whether sUAS or GPS techniques will be most efficient for post-flood surveying.


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