scholarly journals Geothermal and Mineralogic Analysis of Hot Springs in the Puracé-La Mina Sector in Cauca, Colombia

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Darwin Augusto Torres-Ceron ◽  
Carlos Daniel Acosta-Medina ◽  
Elisabeth Restrepo-Parra
Keyword(s):  
Hot Springs ◽  
High Mobility ◽  
Chemical Characterization ◽  
Tourism Industry ◽  
Thermal Waters ◽  
Water Composition ◽  
Potential Applications ◽  
Geochemical Classification ◽  
Acid Nature

Thermal waters are natural resources of great value to geothermal sciences, the tourism industry, and health. In this work, geochemical classification of physicochemical results of 17 sources at the Puracé-La Mina (Cauca, Colombia) sector was implemented in order to strengthen and determine their potential applications and enhance the continental tourism in Colombia. The analyzed parameters were developed following the Standard Methods 22nd edition, at Universidad Nacional de Colombia-Manizales. According to the results obtained by means of a geochemical classification, it was found that most of the sources have a sulfated-acid nature which makes them heated vapor waters and volcanic waters. Likewise, it was observed that all the sources are immature waters and still do not reach chemical equilibrium. On the other hand, mineralogical and chemical characterization by means of XRD and XRF showed a high content of silica isomorphous minerals with a low concentration. In addition, the presence of Fe2O3 was observed, which is insoluble at pH > 5 and remains in the rock. Nevertheless, considering that mine sources possess pH ± 2 and temperatures of 40°C, leaching is possible for iron justifying its presence in the water. Instead, elements like Na+, K+, Mg2+, and Ca2+ have high mobility at the conditions of mine sources (low pH) as a consequence of hydrolysis processes, which produce variations in water composition.

Chemical Characterization and Classification of Pollen

2008 ◽  
Vol 80 (24) ◽  
pp. 9551-9556 ◽  
Author(s):  
Franziska Schulte ◽  
Jana Lingott ◽  
Ulrich Panne ◽  
Janina Kneipp
Keyword(s):  
Chemical Characterization

Sustainable Development of Tourism Choice - Eco-Tourism

2013 ◽  
Vol 448-453 ◽  
pp. 4445-4448
Author(s):  
Ming Chong Gu ◽  
Hong Liu
Keyword(s):  
Sustainable Development ◽  
Qualitative Analysis ◽  
Environmental Problems ◽  
Tourism Industry ◽  
Development Model ◽  
The Sustainable Development ◽  
The People ◽  
Domestic Tourism

Along with the development of society and economy, domestic tourism activities is rapidly increased, accompanied by increasing environmental problems brought by the tourism activities is becoming more and more brought to the attention of the people, if our country want to realize the sustainable development of tourism industry, we must replace the old development model to Eco-tourism to meet the needs of tourism and environment. Through qualitative analysis, this paper analyzed the characteristics of the Eco-tourism, and the classification of domestic ecological tourist resources to comb, and put forward some suggestions on developing Eco-tourism, hoping to provide a reference for the development of the domestic Eco-tourism.

Numerical Classification of Thermus Isolates from Globally Distributed Hot Springs

1989 ◽  
Vol 11 (3) ◽  
pp. 250-256 ◽  
Author(s):  
J. Andrew Hudson ◽  
Hugh W. Morgan ◽  
Roy M. Daniel
Keyword(s):  
Hot Springs ◽  
Numerical Classification ◽  
Globally Distributed

scholarly journals A Data Mining Technique for Tourist Destination Brand Image Building

2020 ◽  
Vol 8 (6) ◽  
pp. 4617-4622
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Tourism Industry ◽  
Destination Image ◽  
Data Mining Technique ◽  
Tourist Destination ◽  
Text Data ◽  
Clustering And Classification ◽  
Google Search

The destination image branding is the domain of tourism industry where the facts and information is collected and evaluated for finding the credibility of a target tourist destination. Manual collection and processing of collected information accurately is a complicated and time consuming task therefore a data mining model is suggested ,in this presented work that collect and evaluate the destination image accurately and based on evaluation can make the recommendations about visits of tourist. In order to perform this task data mining techniques are applied on text data source. In first the data is extracted from the Google search engine and it is preprocessed for make it impure. In further the data is labeled based on the positive and negative words available in the collected facts. Finally the clustering and classification of text is performed. For clustering of data FCM (fuzzy c means) clustering algorithm and for classification the Bayesian classifier is used. Based on final classification of text data the decision is made for the destination visits.

Classification of typical hot springs and their relationship with health in Guizhou, China

2020 ◽  
Author(s):  
Zhengshan Chen ◽  
Jingyuan Yang ◽  
Lijun Zhu ◽  
Aihua Zhang ◽  
Ziyun Wang ◽  
...  
Keyword(s):  
Hot Springs

Multivariate geochemical classification of chromitite layers in the Bushveld Complex, South Africa

2019 ◽  
Vol 103 ◽  
pp. 106-117 ◽  
Author(s):  
Kai Bachmann ◽  
Peter Menzel ◽  
Raimon Tolosana-Delgado ◽  
Christopher Schmidt ◽  
Moritz Hill ◽  
...  
Keyword(s):  
South Africa ◽  
Bushveld Complex ◽  
Geochemical Classification
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