scholarly journals Characterization of the Coastal Environment as a Baseline for Alternative Tourism Segments Development in Salinópolis, Pará

World ◽  
2020 ◽  
Vol 1 (3) ◽  
pp. 227-238
Author(s):  
Aline de Freitas ◽  
Fernanda Achete ◽  
Susana Beatriz Vinzón
Keyword(s):  
Wave Model ◽  
Wave Climate ◽  
Tourism Industry ◽  
Local Economy ◽  
Alternative Tourism ◽  
Bird Watching ◽  
Sport Activities ◽  
Climate Analysis ◽  
Beach Use

Salinópolis in Pará State, Brazil, is a coastal city with a highly seasonal tourism industry. Despite the potentiality of the region, tourism is mainly focused on beach use for recreation. The purpose of this study was to analyze environmental conditions to provide a baseline for development strategies of additional tourism activities, decreasing unwanted impacts, and improving the local economy. We combined wind and pluviosity data, remote sensing, and wave model results for the environmental characterization. Wave climate analysis shows higher waves in the first part of the year, favoring sports like water-surfing. Winds are more intense and parallel to the coast in the second part of the year when rain is low, defining ideal conditions for wind sports, like kitesurfing. Apart from sport activities, appropriately designed beach accesses through mangrove forest would allow a more even distribution of tourists on the beaches. Sustainable walkways projects could include multipurpose structures for beach access and development of ecotourism activities such as environmental education or bird watching. Gastronomic and cultural tourism could also reduce seasonality effects, attracting tourists also during the rainy season.

An Atlas of the Wave-Energy Resource in Europe

1996 ◽  
Vol 118 (4) ◽  
pp. 307-309 ◽  
Author(s):  
M. T. Pontes ◽  
G. A. Athanassoulis ◽  
S. Barstow ◽  
L. Cavaleri ◽  
B. Holmes ◽  
...  
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Wave Model ◽  
Wave Climate ◽  
Weather Forecasts ◽  
Wave Measurements ◽  
Directional Wave ◽  
Offshore Wave ◽  
Climate Statistics

An atlas of the European offshore wave energy resource, being developed within the scope of a European R&D program, includes the characterization of the offshore resource for the Atlantic and Mediterranean coasts of Europe in addition to providing wave-energy and wave-climate statistics that are of interest to other users of the ocean. The wave data used for compiling the Atlas come from the numerical wind-wave model WAM, implemented in the routine operation of the European Centre for Medium Range Weather Forecasts (ECMWF), in addition to directional wave measurements from the Norwegian offshore waters.

WAVE CLIMATE OF THE BLACK SEA’S COASTAL WATERS DURING THE LAST THREE DECADES

2017 ◽  
Author(s):  
Fedor Gippius ◽  
Fedor Gippius ◽  
Stanislav Myslenkov ◽  
Stanislav Myslenkov ◽  
Elena Stoliarova ◽  
...  
Keyword(s):  
Wind Speed ◽  
Cell Size ◽  
Coastal Waters ◽  
Wind Wave ◽  
Spatial Scales ◽  
Wave Model ◽  
Wave Climate ◽  
Computational Grid ◽  
Coastal Areas ◽  
Wave Parameters

This study is focused on the alterations and typical features of the wind wave climate of the Black Sea’s coastal waters since 1979 till nowadays. Wind wave parameters were calculated by means of the 3rd-generation numerical spectral wind wave model SWAN, which is widely used on various spatial scales – both coastal waters and open seas. Data on wind speed and direction from the NCEP CFSR reanalysis were used as forcing. The computations were performed on an unstructured computational grid with cell size depending on the distance from the shoreline. Modeling results were applied to evaluate the main characteristics of the wind wave in various coastal areas of the sea.

scholarly journals Regional Downscaling of Copernicus ERA5 Wave Data for Coastal Engineering Activities and Operational Coastal Services

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 859
Author(s):  
Giorgio Bellotti ◽  
Leopoldo Franco ◽  
Claudia Cecioni
Keyword(s):  
Time Series ◽  
National Level ◽  
Wave Model ◽  
Wave Climate ◽  
Tyrrhenian Sea ◽  
Computational Domain ◽  
Multiple Wave ◽  
Space Resolution ◽  
Wave Data ◽  
Fundamental Information

Hindcasted wind and wave data, available on a coarse resolution global grid (Copernicus ERA5 dataset), are downscaled by means of the numerical model SWAN (simulating waves in the nearshore) to produce time series of wave conditions at a high resolution along the Italian coasts in the central Tyrrhenian Sea. In order to achieve the proper spatial resolution along the coast, the finite element version of the model is used. Wave data time series at the ERA5 grid are used to specify boundary conditions for the wave model at the offshore sides of the computational domain. The wind field is fed to the model to account for local wave generation. The modeled sea states are compared against the multiple wave records available in the area, in order to calibrate and validate the model. The model results are in quite good agreement with direct measurements, both in terms of wave climate and wave extremes. The results show that using the present modeling chain, it is possible to build a reliable nearshore wave parameters database with high space resolution. Such a database, once prepared for coastal areas, possibly at the national level, can be of high value for many engineering activities related to coastal area management, and can be useful to provide fundamental information for the development of operational coastal services.

scholarly journals Wave Directions in a Narrow Bay

2010 ◽  
Vol 40 (1) ◽  
pp. 155-169 ◽  
Author(s):  
Heidi Pettersson ◽  
Kimmo K. Kahma ◽  
Laura Tuomi
Keyword(s):  
Wave Model ◽  
Wave Climate ◽  
Spectral Peak ◽  
Step Size ◽  
Weakly Nonlinear ◽  
Spectral Wave Model ◽  
Directional Coupling ◽  
Directional Wave ◽  
The Baltic ◽  
The Waves

Abstract In slanting fetch conditions the direction of actively growing waves is strongly controlled by the fetch geometry. The effect was found to be pronounced in the long and narrow Gulf of Finland in the Baltic Sea, where it significantly modifies the directional wave climate. Three models with different assumptions on the directional coupling between the wave components were used to analyze the physics responsible for the directional behavior of the waves in the gulf. The directionally decoupled model produced the direction at the spectral peak correctly when the slanting fetch geometry was narrow but gave a weaker steering than observed when the fetch geometry was broader. The method of Donelan estimated well the direction at the spectral peak in well-defined slanting fetch conditions, but overestimated the longer fetch components during wave growth from a more complex shoreline. Neither the decoupled nor the Donelan model reproduced the observed shifting of direction with the frequency. The performance of the third-generation spectral wave model (WAM) in estimating the wave directions was strongly dependent on the grid resolution of the model. The dominant wave directions were estimated satisfactorily when the grid-step size was dropped to 5 km in the gulf, which is 70 km in its narrowest part. A mechanism based on the weakly nonlinear interactions is proposed to explain the strong steering effect in slanting fetch conditions.

Morphological characterization of bicontinuous structures in polymer blends and microemulsions by the inverse-clipping method in the context of the clipped-random-wave model

2000 ◽  
Vol 61 (6) ◽  
pp. 6773-6780 ◽  
Author(s):  
Hiroshi Jinnai ◽  
Yukihiro Nishikawa ◽  
Sow-Hsin Chen ◽  
Satoshi Koizumi ◽  
Takeji Hashimoto
Keyword(s):  
Polymer Blends ◽  
Wave Model ◽  
Morphological Characterization ◽  
Random Wave

scholarly journals Numerical Investigation of Hydrodynamics and Cohesive Sediment Transport in Cua Lo and Cua Hoi Estuaries, Vietnam

2021 ◽  
Vol 9 (11) ◽  
pp. 1258
Author(s):  
Viet Thanh Nguyen ◽  
Minh Tuan Vu ◽  
Chi Zhang
Keyword(s):  
Sediment Transport ◽  
Great Influence ◽  
Wave Model ◽  
Sediment Concentration ◽  
Wave Climate ◽  
Cohesive Sediment ◽  
Wave Direction ◽  
The South ◽  
The North ◽  
Cohesive Sediment Transport

Two-dimensional models of large spatial domain including Cua Lo and Cua Hoi estuaries in Nghe An province, Vietnam, were established, calibrated, and verified with the observed data of tidal level, wave height, wave period, wave direction, and suspended sediment concentration. The model was then applied to investigate the hydrodynamics, cohesive sediment transport, and the morphodynamics feedbacks between two estuaries. Results reveal opposite patterns of nearshore currents affected by monsoons, which flow from the north to the south during the northeast (NE) monsoon and from the south to the north during the southeast (SE) monsoon. The spectral wave model results indicate that wave climate is the main control of the sediment transport in the study area. In the NE monsoon, sediment from Cua Lo port transported to the south generates the sand bar in the northern bank of the Cua Hoi estuary, while sediment from Cua Hoi cannot be carried to the Cua Lo estuary due to the presence of Hon Ngu Island and Lan Chau headland. As a result, the longshore sediment transport from the Cua Hoi estuary to the Cua Lo estuary is reduced and interrupted. The growth and degradation of the sand bars at the Cua Hoi estuary have a great influence on the stability of the navigation channel to Ben Thuy port as well as flood drainage of Lam River.

scholarly journals Impact of the COVID-19 in Tourism Industry in Nepal and Policy Recommendation

2020 ◽  
Vol 3 (1) ◽  
pp. 76-91
Author(s):  
Bishnu Prasad Khanal
Keyword(s):  
Online Survey ◽  
Foreign Currency ◽  
Virus Disease ◽  
Secondary Data ◽  
Public Private Partnership ◽  
Tourism Industry ◽  
Local Economy ◽  
Primary Data ◽  
Private Partnership ◽  
Corona Virus

For the first time in history, almost all the domestic and international tourism destinations have restrictions for travel worldwide because of corona virus pandemic. Corona virus disease calls the COVID-19 pandemic is an ongoing problem in more than 210 countries in the world. The purpose of this study is to find the tourism impact of COVID-19 in Nepal and purpose recommendations for the preparation of evidence based policy and strategies for further development of the tourism industry in Nepal. Secondary data used in this study were obtained from the ministry of tourism in Nepal and other various web sources and primary data were collected from the online survey and collected 52 samples. They are involved in the hospitality, education & consulting, travel & tours, adventure & expedition, trekking agencies, and government officials from national tourism originations. The study highlights that the tourism contribution in Nepal’s GDP (Gross Domestic Product) as a significant sector that has a linkage with other sectors. Also, the Nepalese tourism industry is dependent on international factors and the Nepal tourism industry highly relies on foreign tourists and cancellation of the mountain climbing permits for the year 2020, affects the income of foreign currency as building the capacity of stakeholders and public-private partnership initiatives to promote and work together to develop and manage in future tourism fields. well as the local economy, the loss of thousands of jobs in the tourism sector and others sectors. Overall analyses suggest that building the capacity of stakeholders and public-private partnership initiatives to promote and work together to develop and manage in future tourism fields.

scholarly journals Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wusheng Zhou
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Causal Relationship ◽  
Local Economic Development ◽  
Tourism Industry ◽  
Local Economy ◽  
Series Data ◽  
Economic Forecast ◽  
The Relationship ◽  
Tourism Revenue

With the rapid development of tourism, tourism revenue, as one of the important indicators to measure the development of the tourism economy, has high research value. The quasi-prediction of tourism revenue can drive the development of a series of related industries and accelerate the development of the domestic economy. When forecasting tourism income, it is necessary to examine the causal relationship between tourism income and local economic development. The traditional cointegration analysis method is to extract the promotion characteristics of tourism income to the local economy and construct a tourism income prediction model, but it cannot accurately describe the causal relationship between tourism income and local economic development and cannot accurately predict tourism income. We propose an optimized forecasting method of tourism revenue based on time series. This method first conducts a cointegration test on the time series data of the relationship between tourism income and local economic development, constructs a two-variable autoregressive model of tourism income and local economy, and uses the swarm intelligence method to test the causal relationship and the relationship between tourism income and local economic development, calculate the proportion of tourism industry, define the calculation result as the direct influence factor of tourism industry on the local economy, calculate the relevant effect of local tourism development and economic income, and construct tourism income optimization forecast model. The simulation results show that the model used can accurately predict tourism revenue.

scholarly journals Peran Competitive Advantage Dalam Pengembangan Agrowisata Abian Salak Di Kabupaten Karangasem

2020 ◽  
Vol 3 (1) ◽  
pp. 24-36
Author(s):  
Ni Luh Ketut Ayu Sudha Sucandrawati ◽  
Ni Ketut Murdani
Keyword(s):  
Competitive Advantage ◽  
Cultural Tourism ◽  
Tourism Industry ◽  
Coffee Bean ◽  
Alternative Tourism ◽  
Qualitative Descriptive ◽  
Bean Research ◽  
Creativity And Innovation

The purpose of this study is to increase the competitive advantage of Abian Salak Agro Tourism in Karangasem Regency . Bali is famous for its cultural tourism . Bali is also developing Agro-tourism as an alternative tourism . To be superior and compete , in the development of this tourism industry   can not be separated from the creativity and innovation of the managers . Abian Salak Agro Tourism has made innovations in creating coffee  products from Salak beans given the brand Salacca Coffee Bean . Research carried out by the method of qualitative descriptive . The competitive advantage of Abian Salak Agro Tourism is its unique fruit bark and product   coffee from beans Salak   are qualified

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