Skip to main content
Log in

Probability-based classifications for spatially characterizing the water temperatures and discharge rates of hot springs in the Tatun Volcanic Region, Taiwan

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Accurately classifying the spatial features of the water temperatures and discharge rates of hot springs is crucial for environmental resources use and management. This study spatially characterized classifications of the water temperatures and discharge rates of hot springs in the Tatun Volcanic Region of Northern Taiwan by using indicator kriging (IK). The water temperatures and discharge rates of the springs were first assigned to high, moderate, and low categories according to the two thresholds of the proposed spring classification criteria. IK was then used to model the occurrence probabilities of the water temperatures and discharge rates of the springs and probabilistically determine their categories. Finally, nine combinations were acquired from the probability-based classifications for the spatial features of the water temperatures and discharge rates of the springs. Moreover, various combinations of spring water features were examined according to seven subzones of spring use in the study region. The research results reveal that probability-based classifications using IK provide practicable insights related to propagating the uncertainty of classifications according to the spatial features of the water temperatures and discharge rates of the springs. The springs in the Beitou (BT), Xingyi Road (XYR), Zhongshanlou (ZSL), and Lengshuikeng (LSK) subzones are suitable for supplying tourism hotels with a sufficient quantity of spring water because they have high or moderate discharge rates. Furthermore, natural hot springs in riverbeds and valleys should be developed in the Dingbeitou (DBT), ZSL, Xiayoukeng (XYK), and Macao (MC) subzones because of low discharge rates and low or moderate water temperatures.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Afşin, M., Kuşcu, I., Elhatip, H., & Dirik, K. (2006). Hydrogeochemical properties of CO2-rich thermal-mineral waters in Kayseri (Central Anatolia), Turkey. Environmental Geology, 50, 24–36.

    Article  Google Scholar 

  • Alfaro, C., & Wallace, M. (1994). Origin and classification of springs and historical review with current applications. Environmental Geology, 24, 112–124.

    Article  Google Scholar 

  • Anderson, T. R., & Fairley, J. P. (2008). Relating permeability to the structural setting of a fault-controlled hydrothermal system in southeast Oregon, USA. Journal of Geophysical Research, 113, B05402. doi:10.1029/2007JB004962.

    Google Scholar 

  • Chen, W. F., & Sung, M. (2009). The redox potential of hot springs in Taiwan. Terrestrial, Atmospheric and Oceanic Sciences, 20(3), 465–479.

    Article  Google Scholar 

  • Chen, S. K., Jang, C. S., & Peng, Y. H. (2013). Developing a probability-based model of aquifer vulnerability in an agricultural region. Journal of Hydrology, 486, 494–504.

    Article  CAS  Google Scholar 

  • Cheng, W.T. (1985). Geothermal update report: Taiwan, Republic of China. Geothermal Resources Council 9, 1985 International Symposium on Geothermal Energy, CA, USA, pp.191-195.

  • Cox, W. D., Meng, L., Khedun, C. P., Nordfelt, A., & Quiring, S. M. (2009). Discharge variability for an artesian spring of the Edwards Aquifer: Comal Springs (1933–2007). International Journal of Climatology, 29, 2324–2336.

    Article  Google Scholar 

  • Davisson, M. L., Avisson, M. L., Presser, T. S., & Criss, R. E. (1994). Geochemistry of tectonically expelled fluids from the northern coast ranges, Rumsey-Hills, California, USA. Geochimica et Cosmochimica Acta, 58, 1687–1699.

    Article  CAS  Google Scholar 

  • Deutsch, C. V. (2002). Geostatistical reservoir modeling (pp. 124–152). New York: Oxford University Press.

    Google Scholar 

  • Deutsch, C. V., & Journel, A. G. (1998). GSLIB: Geostatistical Software Library and User’s Guide (2nd ed.). New York: Oxford University Press.

    Google Scholar 

  • Erfurt, P.J. (2011). An assessment of the role of natural hot and mineral springs in health, wellness and recreational tourism. PhD Thesis, James Cook University.

  • Fabbri, P. (2001). Probabilistic assessment of temperature in the Euganean geothermal area (Veneto region, NE Italy). Mathematical Geology, 33(6), 745–760.

    Article  CAS  Google Scholar 

  • Fairley, J., Heffner, J., & Hinds, J. (2003). Geostatistical evaluation of permeability in an active fault zone. Geophysical Research Letters, 30(18), 1962. doi:10.1029/2003GL018064.

    Article  Google Scholar 

  • Ferguson, G., & Grasby, S. E. (2011). Thermal springs and heat flow in North America. Geofluids, 11, 294–301.

    Article  Google Scholar 

  • Goovaerts, P. (1997). Geostatistics for natural resources evaluation (pp. 259–368). New York: Oxford University Press.

    Google Scholar 

  • Hao, Y. H., Yeh, T. C. J., Hu, C. H., Wang, Y. R., & Li, X. (2006). Karst groundwater management by defining protection zones based on regional geological structures and groundwater flow fields. Environmental Geology, 50(3), 415–422.

    Article  CAS  Google Scholar 

  • Jang, C. S. (2010). Applying scores of multivariate statistical analyses to characterize relationships between hydrochemical properties and geological origins of springs in Taiwan. Journal of Geochemical Exploration, 105, 11–18.

    Article  CAS  Google Scholar 

  • Jang, C. S., Chen, S. K., & Lin, C. C. (2008). Using multiple-variable indicator kriging to assess groundwater quality for irrigation in the aquifers of the Choushui River alluvial fan. Hydrological Processes, 22(22), 4477–4489.

    Article  CAS  Google Scholar 

  • Jang, C. S., Chen, J. S., Lin, Y. B., & Liu, C. W. (2012). Characterizing hydrochemical properties of springs in Taiwan based on their geological origins. Environmental Monitoring and Assessment, 184(1), 63–75.

    Article  CAS  Google Scholar 

  • Jang, C. S., Chen, S. K., & Kuo, Y. M. (2013). Applying indicator-based geostatistical approaches to determine potential zones of groundwater recharge based on borehole data. Catena, 101, 178–187.

    Article  Google Scholar 

  • Krešić, N. (2010). Chapter 2 – Types and classifications of springs. Groundwater hydrology of springs engineering, theory, management, and sustainability. Edited by N. Krešić and Z. Stevanović. Butterworth-Heinemann, MA, USA, pp.31-85.

  • Mariner, R. H., Evans, W. C., Presser, T. S., & White, L. D. (2003). Excess nitrogen in selected thermal and mineral springs of the Cascade Range in northern California, Oregon, and Washington: sedimentary or volcanic in origin? Journal of Volcanology and Geothermal Research, 121, 99–114.

    Article  CAS  Google Scholar 

  • Meinzer, O.E. (1927). Large springs in the United States. U.S. Geological Survey, Water Supply Paper 557, 94 pp.

  • Minissale, A., Magro, G., Vaselli, O., Verrucchi, C., & Perticone, I. (1997). Geochemistry of water and gas discharges from the Mt. Amiata silicic complex and surrounding areas (central Italy). Journal of Volcanology and Geothermal Research, 79, 223–251.

    Article  CAS  Google Scholar 

  • Negi, G. C. S., & Joshi, V. (2004). Rainfall and spring discharge patterns in two small drainage catchments in the western Himalayan Mountains, India. Environmentalist, 24(1), 19–28.

    Article  Google Scholar 

  • Ozdemir, A. (2011). GIS-based groundwater spring potential mapping in Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison. Journal of Hydrology, 411, 290–308.

    Article  Google Scholar 

  • ERL-ITRI (Energy and Resources Laboratories, Industrial Technology Research Institute) (2005) The investigation and analysis on geology, hot-spring resources and use of hot-spring area in Taipei City. Construction Bureau, Taipei City Government (PG9310-0362), Taipei, pp B-1-B94.

  • Stambuk-Gilijanovic, N. (2008). Characteristics and origin of the hydrogen sulphide spring water from Split spa (Southern Croatia). Environmental Monitoring and Assessment, 140, 109–117.

    Article  Google Scholar 

  • Yee, N., Phoenix, V. R., Konhauser, K. O., Benning, L. G., & Ferris, F. G. (2003). The effect of cyanobacteria on silica precipitation at neutral pH: implications for bacterial silicification in geothermal hot springs. Chemical Geology, 199, 83–90.

    Article  CAS  Google Scholar 

  • Zhu, B. Q., & Yu, H. (1995). The use of geochemical indicator elements in the exploration for hot water sources within geothermal fields. Journal of Geochemical Exploration, 55, 125–136.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The author would like to thank the Taipei City Government for offering data on water temperatures and discharge rates of springs in the Tatun Volcanic Region.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cheng-Shin Jang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jang, CS. Probability-based classifications for spatially characterizing the water temperatures and discharge rates of hot springs in the Tatun Volcanic Region, Taiwan. Environ Monit Assess 187, 297 (2015). https://doi.org/10.1007/s10661-015-4520-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-015-4520-8

Keywords

Navigation