scholarly journals Spatial Pattern of Tourist Distribution based on Physical and Accessibility Factors in Pacitan Regency, East Java, Indonesia

2018 ◽  
Vol 73 ◽  
pp. 03007
Author(s):  
Osiana Karita Putri ◽  
M H Dewi Susilowati
Keyword(s):  
Indian Ocean ◽  
Spatial Pattern ◽  
Road Network ◽  
Physical Factor ◽  
The South ◽  
City Center ◽  
Significant Relation ◽  
Flat Terrain ◽  
The Indian Ocean ◽  
Local Road

Pacitan Regency has the potential natural tourism because in the south is adjecent to the Indian Ocean and that region has many caves. The number of tourists visit in Pacitan Regency has recently increased, especially in 2017 is the highest number of tourists visit. Spatial pattern of tourist distribution can be analyzed based on terrain, type of network and the distance from city center. The purpose of this study is analyzing spatial pattern of tourist distribution based on physical factor (terrain) and accessibility factors (type of road network and the distance from city center) then the factors that have significant relation. The data are collected by observation, interview, plotting, and documentation. The method used in this research was descriptive and statistics. The tourists distribution in this research are total of tourist arrivals 2017 in tourism object that registered by the department of tourism, youth, and sport of Pacitan Regency. The result shows the highest tourist distribution is on Teleng Ria Beach and Klayar Beach. Teleng Ria Beach is on flat terrain, located on local road and near from city center of Pacitan Regency. Klayar Beach is on undulating terrain, located on other road and moderate from city center of Pacitan Regency. The highest tourist distribution in Teleng Ria Beach and Klayar Beach are reinforced with the most complete primary, secondary and conditional facilities among other tourism objects in Pacitan Regency. Statistics show significant relation between tourist distribution and physical factor (terrain).

The invaders: Phylogeography of dengue and chikungunya viruses Aedes vectors, on the South West islands of the Indian Ocean

2011 ◽  
Vol 11 (7) ◽  
pp. 1769-1781 ◽  
Author(s):  
H. Delatte ◽  
L. Bagny ◽  
C. Brengue ◽  
A. Bouetard ◽  
C. Paupy ◽  
...  
Keyword(s):  
Indian Ocean ◽  
The South ◽  
South West ◽  
The Indian Ocean

scholarly journals The Geology of Portuguese Nyasaland

1922 ◽  
Vol 59 (5) ◽  
pp. 200-212
Author(s):  
Robert R. Walls
Keyword(s):  
Indian Ocean ◽  
East Africa ◽  
The South ◽  
The North ◽  
Dark Continent ◽  
The Indian Ocean

Portuguese Nyasaland is the name given to the most northern part of Portuguese East Africa, lying between Lake Nyasa and the Indian Ocean. It is separated from the Tanganyika territory in the north by the River Rovuma and from the Portuguese province of Mozambique in the south by the River Lurio. The territory measures about 400 miles from east to west and 200 miles from north to south and has an area of nearly 90,000 square miles. This territory is now perhaps the least known part of the once Dark Continent, but while the writer was actually engaged in the exploration of this country in 1920–1, the Naval Intelligence Division of the British Admiralty published two handbooks, the Manual of Portuguese East Africa and the Handbook of Portuguese Nyasaland, which with their extensive bibliographies contained practically everything that was known of that country up to that date (1920). These handbooks make it unnecessary in this paper to give detailed accounts of the work of previous explorers.

Art. VII.—Notes on Persian Belúchistán. From the Persian of Mirza Mehdy Khán. Published Teheran, July, 1875

1876 ◽  
Vol 9 (1) ◽  
pp. 147-154
Author(s):  
A. H. Schindler
Keyword(s):  
Indian Ocean ◽  
Temperate Climate ◽  
The South ◽  
The West ◽  
The North ◽  
The People ◽  
The Indian Ocean ◽  
The Hill ◽  
Cool Climate

The part of Belúchistán now under Persian rule is bounded upon the north by Seistán, upon the east by Panjgúr and Kej, upon the south by the Indian Ocean, and upon the west by Núrámshír, Rúdbár, and the Báshákerd mountains.This country enjoys a variety of climates; almost unbearable heat exists on the Mekrán coast, we find a temperate climate on the hill slopes and on the slightly raised plains as at Duzek and Bampúr, and a cool climate in the mountainous districts Serhad and Bazmán. The heat at Jálq is said to be so intense in summer that the gazelles lie down exhausted in the plains, and let themselves be taken by the people without any trouble.

TSUNAMI HAZARD AND CASUALTY ESTIMATION IN A COASTAL AREA THAT NEIGHBORS THE INDIAN OCEAN AND SOUTH CHINA SEA

2012 ◽  
Vol 06 (02) ◽  
pp. 1250010 ◽  
Author(s):  
ANAWAT SUPPASRI ◽  
FUMIHIKO IMAMURA ◽  
SHUNICHI KOSHIMURA
Keyword(s):  
Indian Ocean ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Worst Case ◽  
China Sea ◽  
Coastal Population ◽  
The Indian Ocean ◽  
Hazard Level

In the Indian Ocean and the South China Sea, many hundreds of thousands of lives have been lost due to tsunami events, and almost half of the lives lost occurred following the 2004 Indian Ocean event. Potential tsunami case scenarios have been simulated in these regions by a number of researchers to calculate the hazard level. The hazard level is based on a variety of conditions, such as the tsunami height, the inundation area, and the arrival time. However, the current assessments of the hazard levels do not focus on the tsunami risk to a coastal population. This study proposes a new method to quantify the risk to the coastal population in the region that includes the Indian Ocean and the South China Sea. The method is simple and combines the use of readily available tsunami data, far-field tsunami simulation models to determine the regional risk and global population data. An earthquake-generated tsunami was simulated, following an earthquake that had a magnitude larger than 8.5 Mw and occurred along a potential subduction zone. The 2004 Indian Ocean event seemed to be a "worst case scenario"; however, it has been estimated that a potential tsunami, occurring in a coastal region with a high population density, could cause significantly greater casualties.

Interannual Variability in Sea Surface Height at Southern Midlatitudes of the Indian Ocean

2021 ◽  
Vol 51 (5) ◽  
pp. 1595-1609
Author(s):  
Motoki Nagura ◽  
Michael J. McPhaden
Keyword(s):  
Indian Ocean ◽  
Interannual Variability ◽  
Sea Surface Height ◽  
Wind Forcing ◽  
Sea Surface ◽  
The South ◽  
South Indian Ocean ◽  
Eastern Boundary ◽  
South Indian ◽  
The Indian Ocean

AbstractThis study examines interannual variability in sea surface height (SSH) at southern midlatitudes of the Indian Ocean (10°–35°S). Our focus is on the relative role of local wind forcing and remote forcing from the equatorial Pacific Ocean. We use satellite altimetry measurements, an atmospheric reanalysis, and a one-dimensional wave model tuned to simulate observed SSH anomalies. The model solution is decomposed into the part driven by local winds and that driven by SSH variability radiated from the western coast of Australia. Results show that variability radiated from the Australian coast is larger in amplitude than variability driven by local winds in the central and eastern parts of the south Indian Ocean at midlatitudes (between 19° and 33°S), whereas the influence from eastern boundary forcing is confined to the eastern basin at lower latitudes (10° and 17°S). The relative importance of eastern boundary forcing at midlatitudes is due to the weakness of wind stress curl anomalies in the interior of the south Indian Ocean. Our analysis further suggests that SSH variability along the west coast of Australia originates from remote wind forcing in the tropical Pacific, as is pointed out by previous studies. The zonal gradient of SSH between the western and eastern parts of the south Indian Ocean is also mostly controlled by variability radiated from the Australian coast, indicating that interannual variability in meridional geostrophic transport is driven principally by Pacific winds.

Mauritius

2020 ◽  
Author(s):  
Marius Schneider ◽  
Vanessa Ferguson
Keyword(s):  
Indian Ocean ◽  
Eastern Coast ◽  
Official Language ◽  
The South ◽  
South Eastern ◽  
The Indian Ocean ◽  
The Republic ◽  
Local Languages

Situated off the south-eastern coast of Africa in the Indian Ocean, the Republic of Mauritius is an island nation of 2,040 square kilometres (km) with a population of 1.26 million. English is generally accepted as the official language as it is used by the administration and the courts. French is also widely spoken among the population, and most inhabitants are bilingual. Local languages include Créole and Bhojpuri. The working week on the island is from Monday to Friday and the Mauritian rupee (MUR) is the currency used.

scholarly journals Eocene to recent development of the South-west Indian Ridge, a consequence of the evolution of the Indian Ocean Triple Junction

1981 ◽  
Vol 64 (3) ◽  
pp. 587-604 ◽  
Author(s):  
John G. Sclater ◽  
Robert L. Fisher ◽  
Phillippe Patriat ◽  
Christopher Tapscott ◽  
Barry Parsons
Keyword(s):  
Indian Ocean ◽  
Triple Junction ◽  
West Indian ◽  
The South ◽  
South West ◽  
The Indian Ocean ◽  
Indian Ridge

The representation of the South Tropical Atlantic teleconnection to the Indian Ocean in the AR4 coupled models

2011 ◽  
Vol 38 (5-6) ◽  
pp. 1147-1166 ◽  
Author(s):  
Rondrotiana Barimalala ◽  
Annalisa Bracco ◽  
Fred Kucharski
Keyword(s):  
Indian Ocean ◽  
Tropical Atlantic ◽  
The South ◽  
Coupled Models ◽  
The Indian Ocean

The Influence of the Indian Ocean on ENSO Stability and Flavor

2017 ◽  
Vol 30 (7) ◽  
pp. 2601-2620 ◽  
Author(s):  
Claudia E. Wieners ◽  
Henk A. Dijkstra ◽  
Will P. M. de Ruijter
Keyword(s):  
Indian Ocean ◽  
Spatial Pattern ◽  
El Niño ◽  
East Coast ◽  
El Nino ◽  
La Niña ◽  
Enso Cycle ◽  
Central Pacific ◽  
La Nina ◽  
The Indian Ocean

The effect of long-term trends and interannual, ENSO-driven variability in the Indian Ocean (IO) on the stability and spatial pattern of ENSO is investigated with an intermediate-complexity two-basin model. The Pacific basin is modeled using a fully coupled (i.e., generating its own background state) Zebiak–Cane model. IO sea surface temperature (SST) is represented by a basinwide warming pattern whose strength is constant or varies at a prescribed lag to ENSO. Both basins are coupled through an atmosphere transferring information between them. For the covarying IO SST, a warm IO during the peak of El Niño (La Niña) dampens (destabilizes) ENSO, and a warm IO during the transition from El Niño to La Niña (La Niña to El Niño) shortens (lengthens) the period. The influence of the IO on the spatial pattern of ENSO is small. For constant IO warming, the ENSO cycle is destabilized because stronger easterlies induce more background upwelling, more thermocline steepening, and a stronger Bjerknes feedback. The SST signal at the east coast weakens or reverses sign with respect to the main ENSO signal [i.e., ENSO resembles central Pacific (CP) El Niños]. This is due to a reduced sensitivity of the SST to thermocline variations in case of a shallow background thermocline, as found near the east coast for a warm IO. With these results, the recent increase in CP El Niño can possibly be explained by the substantial IO (and west Pacific) warming over the last decades.

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