EGU2020-2836
https://doi.org/10.5194/egusphere-egu2020-2836
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Application of artificial intelligence method to develop a reliable model for spatially assessing the health risk from arsenic exposure via drinking groundwater

Ching-Ping Liang1, Chi-Chien Sun2, Jui-Sheng Chen2, and Yi-Yu Xie1
Ching-Ping Liang et al.
  • 1Fooyin University, Department of Nursing, Kaohsiung City, Taiwan (sc048@fy.edu.tw)
  • 2Graduate Institute of Applied Geology, National Central University, Taoyuan City 32001, Taiwan

Lanyang Plain in northwestern Taiwan is an intensively productive agricultural area, most from the cultivation of crops and aquaculture. Groundwater fi

How to cite: Liang, C.-P., Sun, C.-C., Chen, J.-S., and Xie, Y.-Y.: Application of artificial intelligence method to develop a reliable model for spatially assessing the health risk from arsenic exposure via drinking groundwater, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2836, https://doi.org/10.5194/egusphere-egu2020-2836, 2020