Skip to main content
SpringerLink
Log in

Web System for Visualization of Weather Data of the Hydrometeorological Network of Tungurahua, Ecuador

  • Conference paper
  • First Online:
Advances in Visual Computing (ISVC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11241))

Included in the following conference series:

  • 1698 Accesses

Abstract

The information provided by hydrometeorological stations can propose predictive solutions to adverse changes caused by weather in different regions. In this aspect, the publication of this type of information can help common users, farmers or populations at high risk of flooding or propose solutions to droughts. This work presents a hydrometeorological visualization system published in http://rrnn.tungurahua.gob.ec/red, including wind parameters, wind direction, precipitation, and temperature, in a graphic and documented way. The structure of the system presents the whole information required prior to the programming of the two-dimensional and three-dimensional interfaces, detailing all the tools used for the generation of graphics layers. Additionally, all the required files are presented to show the necessary graphic details, such as elevations, boundaries between cantons, roads, water bodies, and so on. Finally, a quick navigation of the bi-dimensional and three-dimensional interface is presented, where all options contained in the developed system are quickly displayed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Iizumi, T., Ramankutty, N.: How do weather and climate influence cropping area and intensity? Glob. Food Secur. 4, 46–50 (2015)

    Article  Google Scholar 

  2. Lipper, L., Thornton, P., Campbell, B.M., et al.: Climate-smart agriculture for food security. Nat. Clim. Change 4, 1068–1072 (2014)

    Article  Google Scholar 

  3. Leng, G., Tang, Q., Rayburg, S.: Climate change impacts on meteorological, agricultural and hydrological droughts in China. Glob. Planet. Change 126, 23–34 (2015)

    Article  Google Scholar 

  4. World Meteorological Organization: Guidelines on Quality Control Procedures for Data from Automatic Weather Stations. WMO, Geneva (2004)

    Google Scholar 

  5. Fang, W., Sheng, V.S., Wen, X., Pan, W.: Meteorological data analysis using MapReduce. Sci. World J. 2014, 1–11 (2014)

    Google Scholar 

  6. Wang, Y.Q.: MeteoInfo: GIS software for meteorological data visualization and analysis. Meteorol. Appl. 21, 360–368 (2014)

    Article  Google Scholar 

  7. Shock, D.A., et al.: Studying the relationship between on-farm environmental conditions and local meteorological station data during the summer. Am. Dairy Sci. Assoc. 99, 1–11 (2016)

    Google Scholar 

  8. Golian, S., Mazdiyasni, O., AghaKouchak, A.: Trends in meteorological and agricultural droughts in Iran. Theor. Appl. Climatol. 119(3–4), 679–688 (2015)

    Article  Google Scholar 

  9. Mase, A.S., Prokopy, L.S.: Unrealized potential: a review of perceptions and use of weather and climate information in agricultural decision making. Am. Metereol. Soc. 2014, 1–10 (2014)

    Google Scholar 

  10. INAMHI: Meteorological instruments. INAMHI (2018). [En línea]. http://www.serviciometeorologico.gob.ec/. Último acceso 03 July 2018

  11. Campozano, L., Tenelanda, D., Sanchez, E., Samaniego, E., Feyen, J.: Comparison of statistical downscaling methods for monthly total precipitation: case study for the Paute River Basin in Southern Ecuador. Adv. Meteorol. 2016(1), 1–13 (2016)

    Google Scholar 

Download references

Acknowledgment

The authors would like to thank the Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia – CEDIA for the financing given to research, development, and innovation, through the Grupos de Trabajo, GT, especially to the GT-eTURISMO; as well as the Department of Water Resources and Environmental Conservation of the Honorable Provincial Government of Tungurahua-HGPT for the information provided for this investigation, and Grupo de Investigación en Automatización, Robótica y Sistemas Inteligentes, GI-ARSI, for the support to develop this work.

Author information

Authors and Affiliations

  1. Universidad de las Fuerzas Armadas ESPE, Latacunga, Ecuador

    Jaime Santana, Fernando A. Chicaiza, Víctor H. Andaluz & Patrick Reuter

Authors
  1. Jaime Santana
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fernando A. Chicaiza
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Víctor H. Andaluz
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Patrick Reuter
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jaime Santana .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, USA

    Richard Boyle

  3. University of Nevada, Reno, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, USA

    Darko Koracin

  5. DARPA, Arlington, USA

    Matt Turek

  6. University of Utah, Salt Lake City, USA

    Srikumar Ramalingam

  7. National University of Defense Technology, Changsha, China

    Kai Xu

  8. Microsoft Research Asia, Beijing, China

    Stephen Lin

  9. Bosch Research, Farmington Hills, MI, USA

    Bilal Alsallakh

  10. University of North Carolina at Charlotte, Charlotte, USA

    Jing Yang

  11. Microsoft Research, Redmond, USA

    Eduardo Cuervo

  12. University of Colorado at Colorado Springs, Colorado Springs, USA

    Jonathan Ventura

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Santana, J., Chicaiza, F.A., Andaluz, V.H., Reuter, P. (2018). Web System for Visualization of Weather Data of the Hydrometeorological Network of Tungurahua, Ecuador. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science(), vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03801-4_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03800-7

  • Online ISBN: 978-3-030-03801-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation