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The Relative Importance of Weather Factors and the Predictions About the Groundwater Level in Jeju

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Ubiquitous Information Technologies and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 214))

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Abstract

The research related to the groundwater level in Jeju has focused on the amount of rainfall and its hydrogeological characteristics so far. However, since the sensor technology has been used in many areas to measure the various types of natural phenomena recently, it allows us to perform advanced analysis on the groundwater in Jeju. In this paper, we consider wind speed, evaporation, temperature, humidity, and rainfall as the factors that can have influences on the groundwater level. We describe how the factors can affect the groundwater and how artificial neural networks can predict the groundwater level. We perform multiple regression and hierarchical linear model analysis. And then, we calculate the relative importance of the weather factors. We use data accumulated from 2003 to 2009 and perform data-oriented analysis rather than theoretical analysis. We divide Jeju region into four basins such as north (Jeju), south (Seogwipo), west (Gosan), and east (Sungsan).

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Author information

Authors and Affiliations

  1. Department of Computer Education, Jeju National University, Jeju Island, Republic of Korea

    Chan Jung Park, Seong Baeg Kim & Jung Suk Hyun

  2. Department of Computer Science and Statistics, Jeju National University, Jeju Island, Republic of Korea

    Junghoon Lee

  3. Department of Management Information Systems, Jeju National University, Jeju Island, Republic of Korea

    Jung Suk Hyun

Authors
  1. Chan Jung Park
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  2. Junghoon Lee
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  3. Seong Baeg Kim
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  4. Jung Suk Hyun
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Corresponding author

Correspondence to Jung Suk Hyun .

Editor information

Editors and Affiliations

  1. and Education, Computer Science and Engineering, Korea University of Technology, Chungjeolno, Byeongchun 1600, CheonAn, 330-861, Korea, Republic of (South Korea)

    Youn-Hee Han

  2. , Division of Computer Science and Enginee, SoonChunHyang University, Sinchang, Chungnam, 336-745, Korea, Republic of (South Korea)

    Doo-Soon Park

  3. , Dept of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, 83, Hong Kong SAR

    Weijia Jia

  4. , Division of Computer Engineering, Mokwon University, Do-An-Buk-Ro 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Sang-Soo Yeo

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Park, C.J., Lee, J., Kim, S.B., Hyun, J.S. (2013). The Relative Importance of Weather Factors and the Predictions About the Groundwater Level in Jeju. In: Han, YH., Park, DS., Jia, W., Yeo, SS. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 214. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5857-5_13

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  • DOI: https://doi.org/10.1007/978-94-007-5857-5_13

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5856-8

  • Online ISBN: 978-94-007-5857-5

  • eBook Packages: EngineeringEngineering (R0)

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